Alcohol and endogenous aldehydes damage chromosomes and mutate stem cells.
- Authors
- Garaycoechea, Juan I; Crossan, Gerry P; Langevin, Frédéric; Mulderrig, Lee; Louzada, Sandra; Yang, Fentang; Guilbaud, Guillaume; Park, Naomi; Roerink, Sophie; Nik-Zainal, Serena; Stratton, Michael R; Patel, Ketan J
- Year
- 2018
- Journal
- Nature
- PMID
- 29323295
- DOI
- 10.1038/nature25154
- PMCID
- PMC6047743
Haematopoietic stem cells renew blood. Accumulation of DNA damage in these cells promotes their decline, while misrepair of this damage initiates malignancies. Here we describe the features and mutational landscape of DNA damage caused by acetaldehyde, an endogenous and alcohol-derived metabolite. This damage results in DNA double-stranded breaks that, despite stimulating recombination repair, also cause chromosome rearrangements. We combined transplantation of single haematopoietic stem cells with whole-genome sequencing to show that this damage occurs in stem cells, leading to deletions and rearrangements that are indicative of microhomology-mediated end-joining repair. Moreover, deletion of p53 completely rescues the survival of aldehyde-stressed and mutated haematopoietic stem cells, but does not change the pattern or the intensity of genome instability within individual stem cells. These findings characterize the mutation of the stem-cell genome by an alcohol-derived and endogenous source of DNA damage. Furthermore, we identify how the choice of DNA-repair pathway and a stringent p53 response limit the transmission of aldehyde-induced mutations in stem cells.
Ethanol induces potent homologous recombination in vivo.a, Treatment of mice with BrdU for differential labelling of sister chromatids of bone marrow cells in vivo. Some mice were also treated with ethanol, a precursor of acetaldehyde. IP, intraperitoneal injection; BM, bone marrow. b, Representative images of bone-marrow metaphase spreads (n, number of SCEs per metaphase). c, Number of SCEs in the bone marrow of Aldh2−/−Fancd2−/− and control mice (triplicate experiments, 25 metaphases per mouse, n = 75; P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.). NS, not significant. d–g, Clonogenic survival of DT40 DNA-repair mutants (triplicate experiments; data shown as mean and s.e.m.).
Endogenous aldehydes mutate the HSC genome.Circos plots showing the mutations observed in all sequenced HSC clones (wild type, n = 3; Aldh2−/−, n = 3; Fancd2−/−, n = 4; and Aldh2−/−Fancd2−/−, n = 5 HSC genomes). Substitutions, indels and rearrangements are plotted.
Detection of point mutations in mice with the BigBlue reporter system.a, Chromosome 4 of the BigBlue reporter mouse harbours a λ-phage transgene that contains the mutational target. The phage DNA can be recovered from mouse tissues, packaged into phage and used to infect bacteria. Phage cII mutants can be detected by the ability of these phage to form plaques at 24 °C. b, Quantification of the frequency of cII− -mutant phage recovered from the bone marrow of young Aldh2−/−Fancd2−/− and control mice carrying the BigBlue transgene. ENU-treated mice serve as positive controls for the assay (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 7, 7, 6, 7 and 6 mice, left to right). c, Relative contribution of the indicated mutation classes to the point-mutation spectra of cII−-mutant phage isolated from the bone marrow. The ENU-mutation spectrum is characterized by T to A transversions and T to C transitions. n is the number of sequenced cII− mutant phage.
Aldehyde-induced stress elicits a p53 response.a, Representative flow cytometry plots for the quantification of p53+ LKS cells from 8-to-12-week-old Aldh2−/−Fancd2−/− and control mice. Cells were collected from wild-type and Trp53−/− mice 2 h after 10 Gy irradiation as positive and negative controls, respectively, for the assay. b, Quantification of the frequency of p53+ cells in different bone-marrow populations. c, Quantification of the frequency of cleaved-caspase-3+ cells in different bone marrow populations by flow cytometry. In b and c, irradiated wild-type and Trp53−/− mice were used as controls. Owing to the low numbers of LKS CD48− CD150+ cells in Aldh2−/−Fancd2−/− mice, the number of p53+ or cleaved-caspase-3+ HSCs could not be determined (data shown as mean and s.e.m.; n = number of mice). d, e, Survival of B cells and myeloid progenitors (CFU-GM) following exposure to acetaldehyde in vitro. Cells were obtained from Fancd2−/−Trp53−/− and control mice. Each point represents the mean of three independent experiments, each carried out in quadruplicate; data shown as mean and s.e.m. f, Frequency of CFU-S12 in the bone marrow of Aldh2−/−Fancd2−/−Trp53−/− and control mice. Each point represents the number of CFU-S12 in the spleen of a single recipient (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 10–15 mice).
p53 deficiency suppresses peripheral-blood cytopenias and ethanol-induced bone-marrow failure in Aldh2−/−Fancd2−/− mice.a, Full blood count analysis of Aldh2−/−Fancd2−/−Trp53−/− and control mice (8-to-12 weeks old, on a C57BL/6 × 129S4S6/Sv F1 background). A significant increase in the number of white blood cells, red blood cells, platelets and haematocrit was observed in Aldh2−/−Fancd2−/−Trp53−/− mice compared to Aldh2−/−Fancd2−/− mice (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 17, 16, 21, 14, 18, 12, 18 and 12 mice, left to right). b, Aldh2−/−Fancd2−/−, Aldh2−/−Fancd2−/−Trp53−/− and control mice were treated with ethanol in their drinking water for 10 days as described previously6. Full blood-count analyses were carried out after 10 days of ethanol treatment. c, Bone marrow cellularity after 10 days of ethanol treatment. In b, c, P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 5, 6, 8, 6, 6, 4, 6 and 5 mice, left to right). d, Haematoxylin and eosin staining of bone-marrow sections 10 days after ethanol treatment (original magnification, ×100).
Genomic instability in Aldh2−/−Fancd2−/−Trp53−/− mice.a, Quantification of micronucleated NCEs in the blood of Aldh2−/−Fancd2−/−Trp53−/− and control mice (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 8 mice). b, List of chromosomal aberrations observed in the bone marrow of 8-to-12 week-old untreated Aldh2−/−Fancd2−/−Trp53−/− and control mice. Three mice and 30 metaphases per mouse were analysed per genotype; the numbers represent the fraction of abnormal metaphases per mouse. c, Bar chart classifying the types of aberrations for each genotype (90 metaphases per condition). d, Examples of two metaphases from an Aldh2−/−Fancd2−/−Trp53−/− mouse.
Validation of indels by targeted deep sequencing.a, Scheme depicting the generation of HSC clones by transplantation of single stem cells, subsequent whole-genome sequencing and validation of indel calls by amplicon deep sequencing. On the basis of the indel location from 20× whole-genome sequencing, we designed multiplex PCRs and deep sequenced the PCR products to higher coverage (100–100,000×) to confirm that the calls were not sequencing artefacts. In addition, we attempted to detect indels in DNA samples of bone-marrow cells from the mice that provided the transplanted HSCs. b, Coverage depth and VAF of the filtered set of indel calls from whole-genome sequencing (n = 342 indels; box plot shows the mean, box edges represent the first and third quartiles, whiskers extend over 10–90% of data). c, Coverage depth and VAF of the indel calls from deep sequencing validation (n = 159 locations; box plot shows the mean, box edges represent the first and third quartiles, whiskers extend over 10–90% of data). One hundred and fifty-nine locations had coverage greater than 100× and were used for the analysis. We could validate the presence of 91.2% of the initial calls; 14/159 (8.8%) calls had VAF <0.1 and were deemed false positives (indicated by grey shading). Note that the VAF distribution is centred tightly around 0.5, confirming the clonal nature of most indels. d, We used targeted deep sequencing to look for indel calls in bone-marrow samples from the mice that provided the transplanted HSCs. In most cases, the calls were below the detection limit of the assay (VAF <0.0001). However, we could detect indels from two Aldh2−/−Fancd2−/− HSCs, indicative of ‘clonal haematopoiesis’ in these mice (accounting for 0.7 and 21.4% of blood production, respectively). Data shown as mean and s.e.m.; n = 13 and 7 indels.
Validation of rearrangements by PCR.a, Scheme depicting the generation of HSC clones by transplantation of single stem cells, subsequent whole-genome sequencing and validation of rearrangement calls by PCR. We designed primers for nested PCRs flanking the breakpoints calculated by the BRASS algorithm, and the identity of the products was confirmed by Sanger sequencing. In addition, we attempted to detect the rearrangements in DNA samples of bone-marrow cells from the mice that provided the transplanted HSCs, demonstrating that these changes did not arise during clonal expansion and were present in the stem cell at the time of transplantation. b, Agarose gels (one experiment) showing presence of specific PCR amplification from DNA of HSC clones, absence in matched germline samples from the tail of the same mouse and, in some cases, detection in bone-marrow tissue that predates the transplants. PCR amplification in these samples is dependent on the contribution of the transplanted HSC to blood production, and the sensitivity of each PCR. Gel source data is shown in Supplementary Fig. 1. c, List summarizing the rearrangements found in 28 HSC clones and the results from b. All 27 rearrangements could be detected by PCR and confirmed by Sanger sequencing. 16/27 (59%) rearrangements could be detected before transplantation.
Mechanisms to maintain genetic integrity and suppress mutagenesis by endogenous aldehydes in HSCs.a, Aldehyde catabolism and FA-pathway-mediated DNA repair constitute two distinct tiers of protection against aldehyde damage. Loss of this protection leads to the accumulation of DNA damage and mutagenesis. Passage of mutated genetic information is prevented by the activation of p53, leading to HSC loss. b, In the absence of a functional Fanconi anaemia pathway, aldehyde lesions degenerate into DNA double-strand breaks that can be repaired through error-free recombination. However, this mechanism is not sufficient to fully compensate for Fanconi anaemia inactivation, leading to the engagement of both classical and alternative end-joining, and subsequent mutagenic repair.
Spontaneous and ethanol-induced genomic instability in Aldh2−/−Fancd2−/− mice.a, Quantification of micronucleated normochromic erythrocytes (Mn-NCE, CD71− PI+) by flow cytometry. b, Percentage of micronucleated normochromic erythrocytes (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 28, 28, 25 and 37 mice, left to right). c, Percentage of abnormal metaphases in bone marrow cells (P calculated by one-sided Fisher’s exact test; data shown as mean and s.e.m.; three mice per genotype, 30 metaphases per mouse). d, A Aldh2−/−Fancd2−/− metaphase, showing two translocations, see Extended Data Fig. 1f-i for the complete list of aberrations. e, Types of chromosomal aberrations (90 metaphases per genotype). f–h, Treatment of mice with ethanol to assess genomic instability (f) with the micronucleus assay (g) or M-FISH karyotyping (h). Percentage of micronucleated reticulocytes (Mn-Ret, CD71+ PI+) after ethanol treatment (g, P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 29, 15, 25, 15, 20, 10, 28 and 9 mice, left to right). Abnormal metaphases in bone marrow cells after ethanol treatment (h, P calculated by one-sided Fisher’s exact test; data shown as mean and s.e.m.; 3 mice per genotype, 30 metaphases per mouse).
NHEJ cooperates with the Fanconi anaemia pathway to maintain HSC integrity, genomic stability and cellular resistance to aldehydes.a, Blood parameters of 8- to 12-week old mice (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 8, 6, 7 and 5 mice, left to right). RBC, red blood cells; MCV, mean corpuscular volume; WBC, white blood cells. b, Representative flow cytometry plot of HSPCs of Fancafl/-Ku70−/− Vav1-iCre mice and control. LKS, Lin−Kit+Sca-1+. c, d, Quantification of HSPCs (Lin−Kit+Sca-1+) and HSCs (Lin−Kit+Sca-1+CD48−CD150+) by flow cytometry (P calculated by two-tailed Student’s t-test; data shown as mean and s.e.m.; n as in a). e, Counts from colony-forming unit-spleen (CFU-S) assays in the bone marrow of Fancafl/-Ku70−/− Vav1-iCre and control mice. Each point represents the number of CFU-S12 in a single recipient (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 20 mice). f, Frequency of Mn-NCE (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n as in a). g, Survival of CFU-S12 after treatment with 4 mM acetaldehyde for 4 h, relative to untreated samples (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 10 mice).
Single HSC transplantation reveals that Aldh2−/−Fancd2−/− HSCs are functionally compromised.a, Transplantation of a single HSC for the generation of HSC clones in vivo. The HSC progeny (CD45.2+) were recovered after four months and analysed by whole-genome sequencing, alongside a germline reference. b, Percentage and number of irradiated recipients that were positive for reconstitution by one or five transplanted HSCs (P calculated by two-sided Fisher’s exact test). c, Contribution to blood production over time by five transplanted HSCs (data shown as mean and s.e.m.). d, Lineage composition of single-HSC clones four months after transplant; columns represent individual recipients or clones. e, Proportion of myeloid (Gr-1+Mac-1+) HSC-derived white blood cells (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 12, 12, 16 and 6 HSC clones, left to right).
Endogenous aldehydes mutate the HSC genome.a, Circos plots showing mutations in three HSCs. All HSCs are shown in Extended Data Fig. 4. b, d, e, g, h, k, Mutations of different classes per genome (b, number of substitutions; P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 3, 3, 4 and 5 HSC genomes, left to right). c, Point mutation classes in HSC genotypes. d, Number of insertions per genome. e, Number of deletions per genome. f, Distribution of the size of deletions (χ2 test, n shows number of deletions). g, Number of repeat-mediated deletions per genome. h, Number of microhomology (MH)-mediated deletions per genome. i, j, Indels in Aldh2−/−Fancd2−/− HSCs are randomly distributed: within or outside genes (i) (P calculated by hypergeometric distribution, n is number of indels), or between expressed or silenced genes (j) (P calculated by binomial distribution, n is number of indels). Numbers above columns, P values. k, Number of rearrangements per genome. l, Large copy-number losses in Aldh2−/−Fancd2−/− and Aldh2−/− HSCs at the indicated locations.
A p53 response depletes aldehyde-damaged HSCs.a, Representative flow cytometry plot of HSPCs (LKS). b, Quantification of HSCs as determined by flow cytometry (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 9, 8, 6, 6, 6, 3, 4, 5 and 7 mice, left to right). c, Frequency of abnormal metaphases in bone marrow cells (P calculated by two-sided Fisher’s exact test; data shown as mean and s.e.m.; 3 mice per genotype, 30 metaphases per mouse). See Extended Data Fig. 8b-d for a complete list of rearrangements. d, Proportion and number of irradiated recipients that were positive for reconstitution by transplantation of single HSCs (P calculated by two-sided Fisher’s exact test). e, Mutations in two Aldh2−/−Fancd2−/−Trp53−/− HSCs. f, Number of microhomology-mediated deletions, rearrangements, substitutions and clock substitutions per genome (P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 3, 3, 3, 3, 4, 3, 5 and 4 HSC genomes, left to right).
Ethanol-induced genomic instability.a, Left, representative images of bone marrow metaphase spreads from wild-type mice treated with mitomycin C (MMC); n shows the number of SCE events per metaphase. Right, comparison between number of SCEs in the bone marrow of wild-type and Aldh2−/− mice treated with ethanol (5.8 g kg−1) or MMC (1 mg kg−1). Triplicate experiments, 25 metaphases per mouse, n = 75; P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m. Ethanol causes a strong homologous recombination response in Aldh2−/− mice, comparable to that observed in wild-type mice exposed to MMC. b, Left, representative images of bone marrow metaphase spreads from wild-type and Fanca−/− mice; n shows the number of SCE events per metaphase. Right, quantification of SCEs (duplicate experiments, 25 metaphases per mouse, n = 50; P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.). Mice deficient in cross-link repair (Fanca−/−, or Fancd2−/− in Fig. 1a) show a small but significant increase in the number of spontaneous SCE events, indicating that a homologous recombination repair response occurs in the absence of the Fanconi anaemia pathway. c, Scheme depicting the formation of micronucleated erythrocytes. Micronuclei (Mn) generated by fragmentation or mis-segregation of chromosomes during erythrocyte maturation remain in the erythrocyte after extrusion of the main nucleus. These fragments can be detected by a DNA stain (PI+). During maturation, red-cell progenitors lose CD71 expression. Therefore, peripheral CD71+ red cells represent immature, short-lived reticulocytes (Ret) and CD71− cells represent mature, long-lived normochromic erythrocytes (NCEs). d, Proof-of-principle experiment showing the induction of micronucleated reticulocytes 48 h after MMC treatment (1 mg kg−1). P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 29, 8, 20 and 9 mice, left to right. e, Treatment of Aldh2−/− mice with ethanol (5.8 g kg−1) leads to potent micronucleus formation. This induction is comparable to that observed in wild-type mice that were treated with the aneugen vincristine (Vcn, 0.2 mg kg−1, 48 h) or clastogenic γ-irradiation (IR, 400 rad, 48 h)46. P calculated by two-sided Mann–Whitney test; data shown as mean and s.e.m.; n = 29, 15, 10, 11, 25 and 15 mice. f, List of chromosomal aberrations observed in the bone marrow of 8-to-12-week-old untreated Aldh2−/−Fancd2−/− and control mice. g, List of chromosomal aberrations observed in the bone marrow of 8-to-12-week-old Aldh2−/−Fancd2−/− and control mice 48 h after ethanol treatment (5.8 g kg−1, injected intraperitoneally, IP). In f and g, three mice and 30 metaphases per mouse were analysed per condition, and the numbers represent the fraction of abnormal metaphases per mouse. h, Bar chart classifying the type of aberrations for each genotype (90 metaphases per condition). i, Examples of different types of chromosomal aberrations.
A single dose of ethanol precipitates bone-marrow failure in Aldh2−/−Fancd2−/− mice.a, A single dose of ethanol (5.8 g kg−1, injected intraperitoneally) leads to anaemia in Aldh2−/−Fancd2−/− mice one to two months after treatment (P calculated by Mantel-Cox test; n = number of mice). b, Haematoxylin and eosin staining of bone marrow sections 30 days after ethanol treatment (original magnification, ×100). c, Full blood-count analysis for Aldh2−/−Fancd2−/− and control mice, before injection and terminal bleeds after ethanol treatment (P calculated by paired t-test; data shown as mean and s.e.m.; n = number of mice, as in a).
Generation of a conditional Fanca allele.a, Mice carrying the previously reported Fanca− allele (Fancatm1a(EUCOMM)Wtsi) were crossed with mice carrying the FLP recombinase, yielding the Fancafl allele (Fancatm1c(EUCOMM)Wtsi). This allele restores FANCA expression as shown by western blot (Fig. 3). Cre-mediated recombination of Fancafl yields the FancaΔ allele (Fancatm1d(EUCOMM)Wtsi), which lacks exon 3 and leads to loss of FANCA protein (Fig. 3). b, Genotyping PCRs for the wild-type, Fanca− and Fancafl alleles with primers FL033, FL040 and En2A; showing bands of the expected sizes. c, Western blot (single experiment) showing complete absence of FANCA protein in the spleens of Fanca−/− and Fancafl/− Vav1-iCre mice. For gel source data, see Supplementary Fig. 1. d, Determination of the number of exon 3 copies by quantitative (q)PCR. Wild-type, Fanca+/Δ and FancaΔ/Δ mice carry 2, 1 and 0 copies, respectively. Fancafl Vav1-iCre mice show tissue-specific deletion of exon 3 in white blood cells (WBCs) and bone marrow (n = 4 technical replicates; bars: mean, s.d.). e, Microscopic analysis of haematoxylin and eosin-stained sections of testes (original magnification, ×50) from wild-type, Fanca−/−, Fancafl/fl and FancaΔ/Δ males at 12 weeks, showing impaired spermatogenesis in testes of Fanca−/− and FancaΔ/Δ mice (one experiment). f, Sensitivity assay of transformed mouse-embryonic fibroblasts (MEFs) derived from Fanca−/−, Fancafl/fl and FancaΔ/Δ embryos, showing hypersensitivity of both Fanca−/− and FancaΔ/Δ cells to the cross-linking agent mitomycin C (n = number of experiments, each carried out in quadruplicate; bars: mean, s.e.m.).
| Name | Type |
|---|---|
| 129S4S6/Sv local | cohort |
| 129S6/Sv local | cohort |
| 2× SSC local | drug |
| A20 local | drug |
| acetaldehyde | drug |
| Acetaldehyde hypersensitivity local | phenotype |
| acetic acid | drug |
| acetone local | drug |
| Acetone local | drug |
| ACTB | gene |
| acute withdrawal | phenotype |
| agarose gels local | drug |
| aged HSC local | phenotype |
| age-related blood disorders local | phenotype |
| alcohol | phenotype |
| Aldehyde-induced DNA damage local | drug |
| aldehydes local | drug |
| Aldehydes local | drug |
| ALDH2 | gene |
| ALDH2+/− local | variant |
| ALDH2−/− local | variant |
| ALDH2 deficiency local | cohort |
| ALDH2+/−FANCA+/− local | variant |
| ALDH2+/−FANCD2+/− local | variant |
| ALDH2−/−FANCD2−/− local | variant |
| Aldh2−/−Fancd2−/− BigBlue λLIZ mice local | cohort |
| Aldh2−/−Fancd2−/− HSC local | variant |
| Aldh2−/−Fancd2−/− HSCs local | cohort |
| ALDH2−/−FANCD2−/− HSCs local | cohort |
| Aldh2−/−Fancd2+/− mice local | cohort |
| Aldh2−/−Fancd2−/− mice local | cohort |
| ALDH2−/−FANCD2−/− mice local | cohort |
| Aldh2−/−Fancd2−/− mouse local | variant |
| Aldh2−/−Fancd2−/−Trp53−/− mice local | cohort |
| Aldh2−/−Fancd2−/−Trp53−/− triple-knockout mice local | cohort |
| Aldh2−/− mice local | cohort |
| Aldh2−/− mouse local | variant |
| ALDH2tm1a(EUCOMM)Wtsi local | variant |
| AlexaFluor647 local | drug |
| alternative end-joining local | phenotype |
| anaemia | phenotype |
| anti-CD45.1 local | drug |
| anti-CD45.2 local | drug |
| anti-CD48 local | drug |
| APC | drug |
| appropriate controls local | cohort |
| ATTO 425 local | drug |
| ATTO 488 local | drug |
| B220+ B cells local | phenotype |
| B6.SJL local | cohort |
| B cell progenitors local | phenotype |
| BD Cytofix/Cytoperm solution local | drug |
| bicarbonate buffer local | drug |
| Big Blue λLIZ repeats local | drug |
| BigBlue λLIZ shuttle vector repeats local | drug |
| BioLegend local | drug |
| blackcurrant Ribena local | drug |
| Blood cytopenias local | phenotype |
| Blood production local | phenotype |
| blood production loss local | phenotype |
| blood-specific Fanca knockout mice local | cohort |
| bone marrow cells local | cohort |
| bone marrow cells local | drug |
| Bone-marrow cells local | phenotype |
| bone marrow cellularity local | phenotype |
| Bone-marrow failure local | phenotype |
| Bouin’s solution local | drug |
| bovine serum albumin | drug |
| Bowtie2 local | drug |
| BRASS local | drug |
| BRCA2 | gene |
| BrdU | drug |
| BSA | drug |
| BV421 local | drug |
| C57BL/6 × 129S4S6/Sv hybrid background local | cohort |
| C57BL/6J | cohort |
| C57BL/6J × 129S6/Sv F1 local | cohort |
| C57BL/6Jo1a local | cohort |
| C57BL/6N | cohort |
| Caenorhabditis elegans | cohort |
| CASP3 | gene |
| CaVEMan local | drug |
| CD11b | gene |
| CD11b/Mac-1 local | gene |
| CD11c local | gene |
| CD150 local | drug |
| CD150 local | gene |
| CD3e local | gene |
| CD4 local | gene |
| CD41 local | drug |
| CD41 | gene |
| CD45.1 local | drug |
| CD45.1 local | gene |
| CD45.1 local | variant |
| CD45.1 recipient mice local | cohort |
| CD45.2 local | drug |
| CD45.2 local | variant |
| CD45.2+ white blood cells local | phenotype |
| CD45R/B220 local | gene |
| CD45+ total WBCs local | phenotype |
| CD48 local | drug |
| CD48 local | gene |
| CD4+CD8+ T cells local | phenotype |
| CD8a | gene |
| Cesium-137 local | drug |
| CFU-S12 local | phenotype |
| CFU-S colonies local | phenotype |
| chicken serum local | drug |
| chimaerism local | phenotype |
| Chromosomal aberrations local | phenotype |
| chromosomal instability | phenotype |
| chromosome breaks local | phenotype |
| Chromosome damage local | phenotype |
| Chromosome rearrangement local | phenotype |
| chromosome rearrangements local | phenotype |
| cII local | gene |
| cisplatin local | drug |
| c-kit | gene |
| Clonality local | phenotype |
| clonal origin local | phenotype |
| clone HM48-1 local | drug |
| colchicine local | drug |
| Colchicine local | drug |
| congenic controls local | cohort |
| control F1 mice local | cohort |
| control HSCs local | cohort |
| Copy number-neutral change local | variant |
| Cy3 | drug |
| Cy5 | drug |
| DAPI | drug |
| DEAC local | drug |
| deletion | variant |
| Denhardt’s solution local | drug |
| dextran sulfate local | drug |
| DMEM/F12 | drug |
| DNA damage | phenotype |
| DNA double-strand breaks local | phenotype |
| DNA interstrand crosslink local | phenotype |
| DNA repair capacity local | phenotype |
| DNA‑repair response local | phenotype |
| dNTP mixture local | drug |
| Donor mouse local | cohort |
| double-stranded breaks local | phenotype |
| Double-stranded breaks local | phenotype |
| DT40 local | cohort |
| DT40 cells local | cohort |
| E. coli G1250 local | cohort |
| EDTA | drug |
| embryonic lethality | phenotype |
| endogenous aldehydes local | drug |
| engraftment defect local | phenotype |
| Engraftment failure local | phenotype |
| enhanced cancer risk local | phenotype |
| enrofloxacin local | drug |
| Ensembl | drug |
| ENU | drug |
| eosin | drug |
| erythroid maturation local | phenotype |
| ethanol consumption | phenotype |
| ethanol‑derived aldehydes local | drug |
| F1 hybrid C57BL/6 × 129S4S6/Sv local | cohort |
| F1 mice local | cohort |
| Fanca local | gene |
| FANCA local | gene |
| FANCA+/− local | variant |
| FANCA−/− local | variant |
| FANCA antibody local | drug |
| FANCAfl/− local | variant |
| Fancafl/-Ku70−/− Vav1-iCre mice local | cohort |
| Fancafl/−Ku70−/−Vav1-iCre mice local | cohort |
| Fancafl/-Ku70−/− Vav1-iCre ST-HSCs local | cohort |
| Fanca−/−Ku70−/− mice local | cohort |
| FANCA−/− mice local | cohort |
| FANCA tm1d(EUCOMM)Wtsi local | variant |
| FANCAΔ local | variant |
| FANCAΔ/Δ mice local | cohort |
| FANCC local | gene |
| FANCD2 local | gene |
| FANCD2+/− local | variant |
| FANCD2−/− local | variant |
| Fancd2-deficient splenic B cells local | cohort |
| Fancd2−/− mice local | cohort |
| Fancd2−/− mouse local | variant |
| FANCD2tm1Hou local | variant |
| Fanconi anaemia local | phenotype |
| FCS | drug |
| FcεR1α local | gene |
| fetal bovine serum | drug |
| FITC | drug |
| FITC-conjugated CD71 antibody local | drug |
| FITC-conjugated mouse anti-BrdU antibody local | drug |
| FlowJo local | drug |
| FLP recombinase | drug |
| formalin | drug |
| formamide local | drug |
| Fortessa analyser local | drug |
| full blood counts local | phenotype |
| functional compromised local | phenotype |
| gene | gene |
| genome instability local | phenotype |
| GenomePlex Complete whole-genome amplification kit local | drug |
| GenomePlex WGA reamplification kit local | drug |
| genomic DNA | drug |
| genomic instability | phenotype |
| goat anti-mouse Alexa Fluor-488 secondary antibody local | drug |
| GoTaq G2 Hot Start Polymerase local | drug |
| Gr-1 local | gene |
| Gr-1+ Mac-1+ myeloid cells local | phenotype |
| haematopoietic tissues local | phenotype |
| haematoxylin | drug |
| Hank’s balanced salt solution local | drug |
| Hematopoietic stem cell local | cohort |
| Hematopoietic stem cell | phenotype |
| heparin | drug |
| Hoechst 33258 | drug |
| Hoechst 33342 | drug |
| Hoechst 33342 trihydrochloride local | drug |
| HSC local | cohort |
| HSC (CD45.2+) local | phenotype |
| HSC clone local | cohort |
| HSC depletion local | phenotype |
| HSC loss local | phenotype |
| HSC RNA-seq data local | cohort |
| HSCs local | cohort |
| HSCs local | phenotype |
| HTS module local | drug |
| hypotonic solution local | drug |
| iCre recombinase local | drug |
| IGHM local | gene |
| IMDM medium local | drug |
| inbred strains | cohort |
| increased micronuclei-containing NCEs local | phenotype |
| Increased prevalence of indels, rearrangements and translocations local | phenotype |
| indel | variant |
| indel (<50 bp) local | variant |
| indels local | phenotype |
| inter‑chromosomal changes local | phenotype |
| Ionizing irradiation local | drug |
| Irradiated recipients local | cohort |
| ITGA2B | gene |
| ITGAM | gene |
| Jena Bioscience local | drug |
| K3EDTA local | drug |
| KHCO3 local | drug |
| KIT | gene |
| KU70+/− local | variant |
| KU70−/− local | variant |
| Ku70+/− mice local | cohort |
| large deletions local | phenotype |
| lethal irradiation local | phenotype |
| Lineage Depletion Kit local | drug |
| LKS cells local | phenotype |
| Loss of blood homeostasis local | phenotype |
| low engraftment local | phenotype |
| LPS | drug |
| LS Magnetic Columns local | drug |
| LSRII FACS analyser local | drug |
| LY6A local | gene |
| Ly6g local | gene |
| Ly-6G local | gene |
| Ly-6G/Gr-1 local | gene |
| Lympholyte M local | drug |
| lysogenic cycle local | phenotype |
| lytic cycle local | phenotype |
| MACS buffer local | drug |
| MACS Miltenyi Biotec local | drug |
| Mendelian segregation local | phenotype |
| methanol | drug |
| methyl cellulose local | drug |
| methylene blue | drug |
| M-FISH probes local | drug |
| mice | cohort |
| microhomology-mediated deletions local | phenotype |
| micronucleated NCEs local | phenotype |
| Micronuclei local | phenotype |
| micronuclei formation local | phenotype |
| Micronucleus formation local | phenotype |
| MiSeq local | drug |
| mitomycin C | drug |
| mitomycin C sensitivity local | phenotype |
| monocyte/granulocyte progenitors local | phenotype |
| mouse 21-colour painting probe local | drug |
| mouse Cot-1 DNA local | drug |
| MPprimer local | drug |
| mutagenesis local | phenotype |
| mutant mice | cohort |
| mutation burden local | phenotype |
| myeloid bias local | phenotype |
| myeloid-biased local | phenotype |
| Na2EDTA local | drug |
| NaHCO3 | drug |
| NaOH | drug |
| NCBIM3843 local | drug |
| New England Biolabs | drug |
| NH4Cl local | drug |
| NHEJ repair local | phenotype |
| PE-Cy7 local | drug |
| penicillin/streptomycin | drug |
| phosphate buffer local | drug |
| phosphate-buffered saline | drug |
| Pindel local | drug |
| point mutations local | phenotype |
| potassium chloride | drug |
| ProLong Gold Antifade Mountant local | drug |
| propidium iodide | drug |
| PTPRC | gene |
| Ptprca local | gene |
| Q5 Hot Start HF local | drug |
| RBC local | phenotype |
| RBC debris local | phenotype |
| Rearrangement local | variant |
| rearrangements local | phenotype |
| Recipient cells (CD45.1+) local | phenotype |
| recipient mice local | cohort |
| RecoverEase DNA‑isolation kit local | drug |
| red cell lysis buffer local | drug |
| reduced HSC count local | phenotype |
| relative survival local | phenotype |
| Resistance to alcohol exposure local | phenotype |
| RNase A | drug |
| RPMI Medium 1640 local | drug |
| Sca-1 local | drug |
| Sca-1 local | gene |
| Scarcity of HSCs local | phenotype |
| SCE events local | phenotype |
| SCEs local | phenotype |
| secondary antibody A-11001 local | drug |
| semi-solid medium local | drug |
| severe HSC attrition local | phenotype |
| Severe HSC depletion local | phenotype |
| short-term HSCs local | phenotype |
| shuttle vector local | drug |
| Sigma–Aldrich local | drug |
| single-base substitutions local | phenotype |
| sister-chromatid exchanges local | phenotype |
| SLAMF1 local | gene |
| SlowFade Gold mounting solution local | drug |
| sodium chloride | drug |
| Sony Biotechnology Inc. local | drug |
| spleen local | drug |
| spontaneous bone marrow failure local | phenotype |
| SSC local | drug |
| staining buffer | drug |
| StemSpan SFEM medium local | drug |
| sterility local | phenotype |
| Stratalinker Crosslinker local | drug |
| Swine anti-rabbit immunoglobulins HRP local | drug |
| Synergy sorter local | drug |
| synthetic lethality local | phenotype |
| tail sample local | cohort |
| TER-119 local | drug |
| TER-119 local | gene |
| Texas Red local | drug |
| Texas Red-dUTP local | drug |
| TFRC local | gene |
| Thermo Fisher Scientific | drug |
| TP53 | gene |
| TP53+/− local | variant |
| TP53−/− local | variant |
| transcription–replication collisions local | phenotype |
| translocations local | phenotype |
| Transpack packaging extract local | drug |
| Tris-HCl | drug |
| Trp53 | gene |
| Tween-20 | drug |
| untreated mice local | cohort |
| variant | cohort |
| variant allele frequency (VAF) local | phenotype |
| VAV1 local | gene |
| VAV1-iCre local | gene |
| VAV1-iCre local | variant |
| Vincristine local | drug |
| wild-type control local | cohort |
| wild-type mice | cohort |
| XRCC2 local | gene |
| XRCC6 | gene |
| young mice | cohort |
| β-actin antibody local | drug |
| β-mercaptoethanol | drug |
No uploaded files.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Using human stem cells as a model system to understand the neural mechanisms of alcohol use disorders: Current status and outlook. | 2019 | 30087005 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| A nuclear-targeted activity-based sensing probe for ratiometric imaging of formaldehyde reveals endogenous epigenetic contributors to the nuclear formaldehyde pool. | Tenney L et al. | — | 2026 | → |
| Chronic Alcohol Consumption Enhances the Differentiation Capacity of Hematopoietic Stem and Progenitor Cells into Osteoclast Precursors. | Hemati H et al. | — | 2026 | → |
| Gut microbiome and bile acid metabolism in liver disease: Mechanisms, clinical implications, and therapeutic opportunities. | Zhou H et al. | — | 2026 | → |
| Lnk deficiency enhances translesion synthesis to alleviate replication stress and promote hematopoietic stem cell fitness. | Singh B et al. | — | 2026 | → |
| Long-term exposure to the ethanol-derived metabolite acetaldehyde elevates structural genomic alterations but not base substitutions. | Lózsa R et al. | — | 2026 | → |
| Macrocyte subpopulations in hemochromatosis probands with HFE p.C282Y homozygosity: Clinical and laboratory associations. | Barton JC et al. | — | 2026 | → |
| Mechanisms of human germ cell development. | Saitou M et al. | — | 2026 | → |
| A computationally driven screening-construction-mechanism strategy of magnetic molecularly imprinted polymers for aliphatic aldehydes detection. | Zhang Y et al. | — | 2025 | → |
| Alda‑1 restores ALDH2‑mediated alcohol metabolism to inhibit the NF‑κB/VEGFC axis in head and neck cancer. | Lin YH et al. | — | 2025 | → |
| ALDH9A1 deficiency as a source of endogenous DNA damage that requires repair by the Fanconi anemia pathway. | Jung M et al. | — | 2025 | → |
| Causes and consequences of RNA:protein cross-links - lessons from chemotherapy. | Kotopanova ZV et al. | — | 2025 | → |
| Cellular responses to RNA damage. | Cordes J et al. | — | 2025 | → |
| DNA polymerase kappa is the primary translesion synthesis polymerase for aldehyde ICLs. | van der Sluijs RV et al. | — | 2025 | → |
| Emerging mechanisms underlying formaldehyde toxicity and response. | Valverde-Santiago M et al. | — | 2025 | → |
| Ferumoxytol promotes haematopoietic stem cell post-injury regeneration as a reactive oxygen species scavenger. | Wang Q et al. | — | 2025 | → |
| Head and Neck Cancer in Fanconi Anemia: Clinical Challenges and Molecular Insights into a DNA Repair Disorder. | Choi J et al. | — | 2025 | → |
| Integrating genomic and pathological characteristics to enhance prognostic precision in advanced NSCLC. | Han Y et al. | — | 2025 | → |
| Loss of Heterozygosity associated with ubiquitous environments in yeast. | Vijayan N et al. | — | 2025 | → |
| Macrophage Histone Deacetylase 4 Has Sex-Dependent Dimorphic Effects on the Pathogenesis of Alcohol-Associated Hepatitis. | Kang H et al. | — | 2025 | → |
| MDM4 overexpression alleviates developmental and hematopoietic defects in Fancg deficient mice. | Loock M et al. | — | 2025 | → |
| Mechanisms of Acetaldehyde-Induced Organ Injury via Impairment of Vascular Endothelial Cells. | Xie MZ et al. | — | 2025 | → |
| Mechanistic insights into alcohol-induced DNA crosslink repair by Slx4-Xpf-Ercc1 nuclease complex in the Fanconi anaemia pathway. | Havlikova J et al. | — | 2025 | → |
| Multiple DNA repair pathways prevent acetaldehyde-induced mutagenesis in yeast. | Porcher L et al. | — | 2025 | → |
| Nicotinamide riboside targets mitochondrial unfolded protein response to reduce alcohol-induced damage in Kupffer cells. | Lee J et al. | — | 2025 | → |
| Physiological Mechanisms Vulnerable to Alcohol-Induced Alterations: Role in Chronic Comorbidities. | Simon L et al. | — | 2025 | → |
| Recent advances in understanding the molecular mechanisms of SLX4 recruitment in the replication stress response. | Okano T et al. | — | 2025 | → |
| [Research progress of aldehyde dehydrogenase type 2 in head and neck malignant tumors]. | Li Y et al. | — | 2025 | → |
| Smoking, alcohol and risk of sarcopenia: a Mendelian randomisation study. | Sha T et al. | — | 2025 | → |
| Spotlighting the criticality of lipid quality control through a mechanistic investigation of mRNA activity loss in lipid nanoparticles. | Kang RS et al. | — | 2025 | → |
| Temporin-1CEa and its Analog LK2(6)A(L) Confer Neuroprotective Effects in Parkinson's Disease Model by Attenuating Neuroinflammation Via the NF-κB and MAPK Signaling Pathways. | Zhang W et al. | — | 2025 | → |
| The mutagenic properties of formaldehyde and acetaldehyde: Reflections on half a century of progress. | Thapa MJ et al. | — | 2025 | → |
| The mycobiome in human cancer: analytical challenges, molecular mechanisms, and therapeutic implications. | Ding T et al. | — | 2025 | → |
| The risk factors, pathogenesis and treatment of premature ovarian insufficiency. | Huang Y et al. | — | 2025 | → |
| Transcription blocking properties and transcription-coupled repair of N<sup>2</sup>-alkylguanine adducts as a model for aldehyde-induced DNA damage. | Sarmini L et al. | — | 2025 | → |
| Whether aristolochic acid directly drives hepatocarcinogenesis: comprehensive investigations from mutational signatures to animal models. | Yang L et al. | — | 2025 | → |
| A glycolytic metabolite bypasses "two-hit" tumor suppression by BRCA2. | Kong LR et al. | — | 2024 | → |
| Alcohol-associated liver cancer. | Fu Y et al. | — | 2024 | → |
| Alcohol Consumption and Breast and Ovarian Cancer Development: Molecular Pathways and Mechanisms. | Fanfarillo F et al. | — | 2024 | → |
| ALDH1A3-acetaldehyde metabolism potentiates transcriptional heterogeneity in melanoma. | Lu Y et al. | — | 2024 | → |
| Aldh2 deficiency plays a dual role in lung tumorigenesis and tumor progression. | Zhang H et al. | — | 2024 | → |
| ALDH2 mutations and defense against genotoxic aldehydes in cancer and inherited bone marrow failure syndromes. | Woo AY et al. | — | 2024 | → |
| Constitutional chromosomal anomalies in children, fetal alcohol syndrome, and maternal toxicant exposures: A longitudinal cohort study. | Geier DA et al. | — | 2024 | → |
| Crosstalk between DNA Damage Repair and Metabolic Regulation in Hematopoietic Stem Cells. | Xu J et al. | — | 2024 | → |
| DNA damage and transcription stress. | Milano L et al. | — | 2024 | → |
| Drinking in despair: Unintended consequences of automation in China. | Lu W et al. | — | 2024 | → |
| Dual effects of endogenous formaldehyde on the organism and drugs for its removal. | Chen J et al. | — | 2024 | → |
| Dual role of proliferating cell nuclear antigen monoubiquitination in facilitating Fanconi anemia-mediated interstrand crosslink repair. | Shah R et al. | — | 2024 | → |
| Exploring the intersection of polygenic risk scores and prenatal alcohol exposure: Unraveling the mental health equation. | Gerlikhman L et al. | — | 2024 | → |
| FANCD2-FANCI surveys DNA and recognizes double- to single-stranded junctions. | Alcón P et al. | — | 2024 | → |
| Genomic alterations in two patients with esophageal carcinosarcoma identified by whole genome sequencing: a case report. | Inoue M et al. | — | 2024 | → |
| Gut-liver axis: Recent concepts in pathophysiology in alcohol-associated liver disease. | Raya Tonetti F et al. | — | 2024 | → |
| Hematopoietic Stem Cells as an Integrative Hub Linking Lifestyle to Cardiovascular Health. | Chen X et al. | — | 2024 | → |
| Homologous recombination contributes to the repair of acetaldehyde-induced DNA damage. | Yamazaki K et al. | — | 2024 | → |
| Identification of acetaldehyde based on plasmonic patterns of a gold nanostructure conjugated with chromophore and H<sub>2</sub>O<sub>2</sub>: a new platform for the rapid and low-cost analysis of carcinogenic agents by colorimetric affordable test strip (CATS). | Farshchi F et al. | — | 2024 | → |
| Increasing rates of early-onset Luminal A breast cancers correlate with binge drinking patterns. | Chen J et al. | — | 2024 | → |
| Lung Cancer and Lifestyle Factors: Umbrella Review. | Bunjaku J et al. | — | 2024 | → |
| Lysine β-hydroxybutyrylation promotes lipid accumulation in alcoholic liver disease. | Chen N et al. | — | 2024 | → |
| Microplastics dampen the self-renewal of hematopoietic stem cells by disrupting the gut microbiota-hypoxanthine-Wnt axis. | Jiang L et al. | — | 2024 | → |
| Modular development of organelle-targeting fluorescent probes for imaging formaldehyde in live cells. | Zhang Y et al. | — | 2024 | → |
| Molecular dependencies and genomic consequences of a global DNA damage tolerance defect. | de Groot D et al. | — | 2024 | → |
| p53 regulates diverse tissue-specific outcomes to endogenous DNA damage in mice. | Hill RJ et al. | — | 2024 | → |
| Predictors of congenital anomalies among neonates admitted to public hospitals in eastern Ethiopia: a case-control study. | Belama N et al. | — | 2024 | → |
| Primordial germ cell DNA demethylation and development require DNA translesion synthesis. | Shah P et al. | — | 2024 | → |
| Regaining control over alcohol intake but not abstinence on disulfiram medication, as a harm reduction approach: 2 case reports. | Schallenberg M et al. | — | 2024 | → |
| Reproductive and germ-cell mutagenic effects of poly-and perfluoroalkyl substances (PFAS) to Caenorhabditis elegans after multigenerational exposure. | Cao Z et al. | — | 2024 | → |
| Research Progress on the Correlation between Acetaldehyde Dehydrogenase 2 and Hepatocellular Carcinoma Development. | Yang D et al. | — | 2024 | → |
| Stress, epigenetics, and aging: Unraveling the intricate crosstalk. | Wu Z et al. | — | 2024 | → |
| Structure-specific nucleases in genome dynamics and strategies for targeting cancers. | Sun H et al. | — | 2024 | → |
| Systemic and Local Strategies for Primary Prevention of Breast Cancer. | Zaluzec EK et al. | — | 2024 | → |
| The biochemistry of the carcinogenic alcohol metabolite acetaldehyde. | Thomas LA et al. | — | 2024 | → |
| A C57BL/6J Fancg-KO Mouse Model Generated by CRISPR/Cas9 Partially Captures the Human Phenotype. | Shah R et al. | — | 2023 | → |
| Acetaldehyde induces similar cytotoxic and genotoxic risks in BEAS-2B cells and HHSteCs: involvement of differential regulation of MAPK/ERK and PI3K/AKT pathways. | Zhang J et al. | — | 2023 | → |
| Aged hematopoietic stem cells entrap regulatory T cells to create a prosurvival microenvironment. | Liao W et al. | — | 2023 | → |
| Alcohol-associated bowel disease: new insights into pathogenesis. | Maccioni L et al. | — | 2023 | → |
| Aldehyde-Associated Mutagenesis─Current State of Knowledge. | Vijayraghavan S et al. | — | 2023 | → |
| Analysis of Aldehyde Dehydrogenase 2 as a Prognostic Marker Associated with Immune Cell infiltration and Chemotherapy Efficacy in Head and Neck Squamous Cell Carcinoma. | Lin YH et al. | — | 2023 | → |
| Bidirectional interplay between metabolism and epigenetics in hematopoietic stem cells and leukemia. | Zhang YW et al. | — | 2023 | → |
| Bioactive Compounds as Inhibitors of Inflammation, Oxidative Stress and Metabolic Dysfunctions via Regulation of Cellular Redox Balance and Histone Acetylation State. | Kang H et al. | — | 2023 | → |
| Cancers make their own luck: theories of cancer origins. | Jassim A et al. | — | 2023 | → |
| Chemical sensors for imaging total cellular aliphatic aldehydes in live cells. | Wills R et al. | — | 2023 | → |
| Chronic alcohol administration alters metabolomic profile of murine bone marrow. | Pontes Pereira TT et al. | — | 2023 | → |
| Clonal hematopoiesis driven by chromosome 1q/MDM4 trisomy defines a canonical route toward leukemia in Fanconi anemia. | Sebert M et al. | — | 2023 | → |
| Comprehensive single-cell genome analysis at nucleotide resolution using the PTA Analysis Toolbox. | Middelkamp S et al. | — | 2023 | → |
| Deconvoluting gene and environment interactions to develop an "epigenetic score meter" of disease. | Butera A et al. | — | 2023 | → |
| Discovery of a new hereditary RECQ helicase disorder RECON syndrome positions the replication stress response and genome homeostasis as centrally important processes in aging and age-related disease. | Datta A et al. | — | 2023 | → |
| DNA Fragility and Repair: Some Personal Recollections. | Lindahl TR | — | 2023 | → |
| Elevated markers of DNA damage and senescence are associated with the progression of albuminuria and restrictive lung disease in patients with type 2 diabetes. | Varun K et al. | — | 2023 | → |
| Epidemiology and Risk Factors for Breast Cancer: 21st Century Advances, Gaps to Address through Interdisciplinary Science. | Terry MB et al. | — | 2023 | → |
| Ethanol induces replication fork stalling and membrane stress in immortalized laryngeal cells. | Hoes L et al. | — | 2023 | → |
| FAAP100 is required for the resolution of transcription-replication conflicts in primordial germ cells. | Xu W et al. | — | 2023 | → |
| Features of oxidative stress in alcoholism. | Prokopieva VD et al. | — | 2023 | → |
| Genotoxic aldehyde stress prematurely ages hematopoietic stem cells in a p53-driven manner. | Wang M et al. | — | 2023 | → |
| Human hematopoietic stem cell vulnerability to ferroptosis. | Zhao J et al. | — | 2023 | → |
| K6-linked ubiquitylation marks formaldehyde-induced RNA-protein crosslinks for resolution. | Suryo Rahmanto A et al. | — | 2023 | → |
| Mammalian life depends on two distinct pathways of DNA damage tolerance. | Buoninfante OA et al. | — | 2023 | → |
| Measuring blood cell DNA damage using the PIG-A mutation and CBMN assay in pancreatic cancer patients: a pilot study. | Nichols L et al. | — | 2023 | → |
| Phosphorylation by ATR triggers FANCD2 chromatin loading and activates the Fanconi anemia pathway. | Kupculak M et al. | — | 2023 | → |
| Research Advances on the Stability of mRNA Vaccines. | Cheng F et al. | — | 2023 | → |
| RNF14-dependent atypical ubiquitylation promotes translation-coupled resolution of RNA-protein crosslinks. | Zhao S et al. | — | 2023 | → |
| [Smoking, heated tobacco products, alcohol and diabetes mellitus (update 2023)]. | Brath H et al. | — | 2023 | → |
| Stress mechanism involved in the progression of alcoholic liver disease and the therapeutic efficacy of nanoparticles. | Aghara H et al. | — | 2023 | → |
| The Storage and In-Use Stability of mRNA Vaccines and Therapeutics: Not A Cold Case. | Oude Blenke E et al. | — | 2023 | → |
| ZNF281 drives hepatocyte senescence in alcoholic liver disease by reducing HK2-stabilized PINK1/Parkin-mediated mitophagy. | Lu C et al. | — | 2023 | → |
| Aldehyde Dehydrogenase Enzyme Functions in Acute Leukemia Stem Cells. | Dancik GM et al. | — | 2022 | → |
| Aldh2 is a lineage-specific metabolic gatekeeper in melanocyte stem cells. | Brunsdon H et al. | — | 2022 | → |
| ALDH9A1 Deficiency as a Source of Endogenous DNA Damage that Requires Repair by the Fanconi Anemia Pathway | Jung M et al. | — | 2022 | — |
| A mouse model of the regression of alcoholic hepatitis: Monitoring the regression of hepatic steatosis, inflammation, oxidative stress, and NAD<sup>+</sup> metabolism upon alcohol withdrawal. | Kang H et al. | — | 2022 | → |
| Analyses of mutational patterns induced by formaldehyde and acetaldehyde reveal similarity to a common mutational signature. | Thapa MJ et al. | — | 2022 | → |
| Comprehensive Analysis of Aldehyde Dehydrogenases (ALDHs) and Its Significant Role in Hepatocellular Carcinoma. | Yao S et al. | — | 2022 | → |
| Comprehensive Review of Uterine Fibroids: Developmental Origin, Pathogenesis, and Treatment. | Yang Q et al. | — | 2022 | → |
| Computational Investigation of Structural Basis for Enhanced Binding of Isoflavone Analogues with Mitochondrial Aldehyde Dehydrogenase. | Zhang Y et al. | — | 2022 | → |
| DNA damage and repair in the hematopoietic system. | Li N et al. | — | 2022 | → |
| Endogenous formaldehyde scavenges cellular glutathione resulting in redox disruption and cytotoxicity. | Umansky C et al. | — | 2022 | → |
| Fanconi anemia and dyskeratosis congenita/telomere biology disorders: Two inherited bone marrow failure syndromes with genomic instability. | Fiesco-Roa MÓ et al. | — | 2022 | → |
| Genomic signature of Fanconi anaemia DNA repair pathway deficiency in cancer. | Webster ALH et al. | — | 2022 | → |
| Genotoxic aldehydes in the hematopoietic system. | Wang M et al. | — | 2022 | → |
| HMCES safeguards genome integrity and long-term self-renewal of hematopoietic stem cells during stress responses. | Pan Y et al. | — | 2022 | → |
| Inherited bone marrow failure in the pediatric patient. | Dokal I et al. | — | 2022 | → |
| Innate Immunity: A Balance between Disease and Adaption to Stress. | Faenza I et al. | — | 2022 | → |
| Mechanisms of chronic alcohol exposure-induced aggressiveness in cellular model of HCC and recovery after alcohol withdrawal. | Marié C et al. | — | 2022 | → |
| Mulberry Ethanol Extract and Rutin Protect Alcohol-Damaged GES-1 Cells by Inhibiting the MAPK Pathway. | Wu TY et al. | — | 2022 | → |
| New insights into the genetic contribution of ALDH2 rs671 in pancreatic carcinogenesis: Evaluation by mediation analysis. | Koyanagi YN et al. | — | 2022 | → |
| Novel Insights into Alcoholic Liver Disease: Iron Overload, Iron Sensing and Hemolysis. | Mueller S et al. | — | 2022 | → |
| Planispine A Sensitized Cancer Cells to Cisplatin by Inhibiting the Fanconi Anemia Pathway. | Singh TD et al. | — | 2022 | → |
| PPM1D in Solid and Hematologic Malignancies: Friend and Foe? | Zhang L et al. | — | 2022 | → |
| Proteomic Analysis of Protective Effects of <i>Epimedium</i> Flavonoids against Ethanol-Induced Toxicity in Retinoic Acid-Treated SH-SY5Y Cells. | Yang X et al. | — | 2022 | → |
| Stress-triggered hematopoietic stem cell proliferation relies on PrimPol-mediated repriming. | Jacobs K et al. | — | 2022 | → |
| Tea saponin additive to extract eleutheroside B and E from Eleutherococcus senticosus by ultrasonic mediation and its application in a semi-pilot scale. | Yang X et al. | — | 2022 | → |
| The structure-specific endonuclease complex SLX4-XPF regulates Tus-Ter-induced homologous recombination. | Elango R et al. | — | 2022 | → |
| Unpaved roads: How the DNA damage response navigates endogenous genotoxins. | Thada V et al. | — | 2022 | → |
| Virtual Screening of FDA-Approved Drugs for Enhanced Binding with Mitochondrial Aldehyde Dehydrogenase. | Zhou B et al. | — | 2022 | → |
| Vulnerability of HIF1α and HIF2α to damage by proteotoxic stressors. | Meyers LM et al. | — | 2022 | → |
| Ablating putative Ku70 phosphorylation sites results in defective DNA damage repair and spontaneous induction of hepatocellular carcinoma. | Saha J et al. | — | 2021 | → |
| Alcohol and Cancer: Epidemiology and Biological Mechanisms. | Rumgay H et al. | — | 2021 | → |
| Alcohol, Binge Drinking, and Cancer Risk: Accelerating Public Health Messaging Through Countermarketing. | Strebel J et al. | — | 2021 | → |
| Aldehyde dehydrogenase inhibitors promote DNA damage in ovarian cancer and synergize with ATM/ATR inhibitors. | Grimley E et al. | — | 2021 | → |
| A novel mechanism for the loss of mRNA activity in lipid nanoparticle delivery systems. | Packer M et al. | — | 2021 | → |
| A Traditional Chinese Medicine Plant Extract Prevents Alcohol-Induced Osteopenia. | Qian D et al. | — | 2021 | → |
| Balancing DNA repair to prevent ageing and cancer. | Stead ER et al. | — | 2021 | → |
| Bifacial biological effects of ethanol: acetaldehyde production by oral <i>Streptococcus</i> species and the antibacterial effects of ethanol against these bacteria. | Tagaino R et al. | — | 2021 | → |
| Biochemical Mechanisms Associating Alcohol Use Disorders with Cancers. | Rodriguez FD et al. | — | 2021 | → |
| Clinically relevant gene editing in hematopoietic stem cells for the treatment of pyruvate kinase deficiency. | Fañanas-Baquero S et al. | — | 2021 | → |
| Coordinated roles of SLX4 and MutSβ in DNA repair and the maintenance of genome stability. | Young SJ et al. | — | 2021 | → |
| Development of bacterial biosensor for sensitive and selective detection of acetaldehyde. | Liang B et al. | — | 2021 | → |
| Downregulation of 5-hydroxymethylcytosine is an early event in pancreatic tumorigenesis. | Fujikura K et al. | — | 2021 | → |
| Educational attainment and drinking behaviors: Mendelian randomization study in UK Biobank. | Zhou T et al. | — | 2021 | → |
| Endogenous aldehyde accumulation generates genotoxicity and exhaled biomarkers in esophageal adenocarcinoma. | Antonowicz S et al. | — | 2021 | → |
| Endogenous formaldehyde destroys blood stem cells. | Jung M et al. | — | 2021 | → |
| Ethanol exposure drives colon location specific cell composition changes in a normal colon crypt 3D organoid model. | Devall M et al. | — | 2021 | → |
| Ethanol-Induced Cell Damage Can Result in the Development of Oral Tumors. | Hoes L et al. | — | 2021 | → |
| FANCD2 limits acetaldehyde-induced genomic instability during DNA replication in esophageal keratinocytes. | Peake JD et al. | — | 2021 | → |
| Gene Editing of Hematopoietic Stem Cells: Hopes and Hurdles Toward Clinical Translation. | Ferrari S et al. | — | 2021 | → |
| Genomic attributes of homology-directed DNA repair deficiency in metastatic prostate cancer. | De Sarkar N et al. | — | 2021 | → |
| Genomic expansion of Aldh1a1 protects beavers against high metabolic aldehydes from lipid oxidation. | Zhang Q et al. | — | 2021 | → |
| How Does Urban Sprawl Affect Public Health? Evidence from Panel Survey Data in Urbanizing China. | Yan Y et al. | — | 2021 | → |
| Inhibition of alcohol-induced inflammation and oxidative stress by astaxanthin is mediated by its opposite actions in the regulation of sirtuin 1 and histone deacetylase 4 in macrophages. | Kang H et al. | — | 2021 | → |
| Inhibition of TGFβ1 and TGFβ3 promotes hematopoiesis in Fanconi anemia. | Rodríguez A et al. | — | 2021 | → |
| Lifestyles, genetics, and future perspectives on gastric cancer in east Asian populations. | Katoh H et al. | — | 2021 | → |
| Mechanisms of damage tolerance and repair during DNA replication. | Ashour ME et al. | — | 2021 | → |
| Mechanisms of Vertebrate DNA Interstrand Cross-Link Repair. | Semlow DR et al. | — | 2021 | → |
| MYC Promotes Bone Marrow Stem Cell Dysfunction in Fanconi Anemia. | Rodríguez A et al. | — | 2021 | → |
| Precancerous liver diseases do not cause increased mutagenesis in liver stem cells. | Nguyen L et al. | — | 2021 | → |
| Predisposition to cancer in children and adolescents. | Kratz CP et al. | — | 2021 | → |
| Profound changes in cerebrospinal fluid proteome and metabolic profile are associated with congenital hydrocephalus. | Requena-Jimenez A et al. | — | 2021 | → |
| Protective effect of hawthorn vitexin on the ethanol-injured DNA of BRL-3A hepatocytes. | Ding C et al. | — | 2021 | → |
| Reactive oxygen species and DNA damage response in cancer. | Renaudin X | — | 2021 | → |
| Recent advances in histone glycation: emerging role in diabetes and cancer. | Mir AR et al. | — | 2021 | → |
| Recombination and restart at blocked replication forks. | Scully R et al. | — | 2021 | → |
| Recruitment of archaeal DTD is a key event toward the emergence of land plants. | Mazeed M et al. | — | 2021 | → |
| Research on esophageal cancer: With personal perspectives from studies in China and Kenya. | Yang CS et al. | — | 2021 | → |
| Self-assembled micelles enhance the oral delivery of curcumin for the management of alcohol-induced tissue injury. | Bao S et al. | — | 2021 | → |
| The discovery of novel small molecule allosteric activators of aldehyde dehydrogenase 2. | Tian W et al. | — | 2021 | → |
| The Fanconi anemia ubiquitin E3 ligase complex as an anti-cancer target. | Sharp MF et al. | — | 2021 | → |
| The Impact of Sedentary Lifestyle, High-fat Diet, Tobacco Smoke, and Alcohol Intake on the Hematopoietic Stem Cell Niches. | Kaastrup K et al. | — | 2021 | → |
| The Perioperatively Altered Neutrophil-to-Lymphocyte Ratio Associates with Impaired DNA Damage Response in Liver Transplantation Recipients with Hepatocellular Carcinoma. | Chen KD et al. | — | 2021 | → |
| The Protexin complex counters resection on stalled forks to promote homologous recombination and crosslink repair. | Adeyemi RO et al. | — | 2021 | → |
| The role of ALDH2 in tumorigenesis and tumor progression: Targeting ALDH2 as a potential cancer treatment. | Zhang H et al. | — | 2021 | → |
| The Role of Antioxidants Supplementation in Clinical Practice: Focus on Cardiovascular Risk Factors. | Cammisotto V et al. | — | 2021 | → |
| Transcriptional Silencing of <i>ALDH2</i> Confers a Dependency on Fanconi Anemia Proteins in Acute Myeloid Leukemia. | Yang Z et al. | — | 2021 | → |
| Transcription Factors, R-Loops and Deubiquitinating Enzymes: Emerging Targets in Myelodysplastic Syndromes and Acute Myeloid Leukemia. | Barabino SML et al. | — | 2021 | → |
| Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality. | Benfatto S et al. | — | 2021 | → |
| 18q12.3-q21.1 microdeletion detected in the prenatally alcohol-exposed dizygotic twin with discordant fetal alcohol syndrome phenotype. | Kahila H et al. | — | 2020 | → |
| A chromatin perspective on metabolic and genotoxic impacts on hematopoietic stem and progenitor cells. | Yang Z et al. | — | 2020 | → |
| Across-Site Differences in the Mechanism of Alcohol-Induced Digestive Tract Carcinogenesis: An Evaluation by Mediation Analysis. | Koyanagi YN et al. | — | 2020 | → |
| Alcohol-derived DNA crosslinks are repaired by two distinct mechanisms. | Hodskinson MR et al. | — | 2020 | → |
| Aldehyde Dehydrogenase, Liver Disease and Cancer. | Wang W et al. | — | 2020 | → |
| ANKLE1 N<sup>6</sup> -Methyladenosine-related variant is associated with colorectal cancer risk by maintaining the genomic stability. | Tian J et al. | — | 2020 | → |
| Associations between nutritional factors and KRAS mutations in colorectal cancer: a systematic review. | El Asri A et al. | — | 2020 | → |
| Astaxanthin inhibits alcohol-induced inflammation and oxidative stress in macrophages in a sirtuin 1-dependent manner. | Kang H et al. | — | 2020 | → |
| A Surge of DNA Damage Links Transcriptional Reprogramming and Hematopoietic Deficit in Fanconi Anemia. | Shen X et al. | — | 2020 | → |
| Autophagy mitigates ethanol-induced mitochondrial dysfunction and oxidative stress in esophageal keratinocytes. | Chandramouleeswaran PM et al. | — | 2020 | → |
| Biomarkers of genome instability in normal mammalian genomes following drug-induced replication stress. | Minocherhomji S et al. | — | 2020 | → |
| Canonical and Noncanonical Roles of Fanconi Anemia Proteins: Implications in Cancer Predisposition. | Milletti G et al. | — | 2020 | → |
| Cerebral Hemorrhage and Alcohol Exposure: A Review. | Peng J et al. | — | 2020 | → |
| Changing trends in cancer incidence of upper aerodigestive tract and stomach in Japanese alcohol-dependent men (1993-2018). | Yokoyama A et al. | — | 2020 | → |
| Chromosome Instability in Fanconi Anemia: From Breaks to Phenotypic Consequences. | García-de-Teresa B et al. | — | 2020 | → |
| Daily Ethanol Drinking Followed by an Abstinence Period Impairs Bone Marrow Niche and Mitochondrial Function of Hematopoietic Stem/Progenitor Cells in Rhesus Macaques. | Varlamov O et al. | — | 2020 | → |
| Defined lifestyle and germline factors predispose Asian populations to gastric cancer. | Suzuki A et al. | — | 2020 | → |
| Digenic mutations in <i>ALDH2</i> and <i>ADH5</i> impair formaldehyde clearance and cause a multisystem disorder, AMeD syndrome. | Oka Y et al. | — | 2020 | → |
| Downregulation of Siah1 promotes colorectal cancer cell proliferation and migration by regulating AKT and YAP ubiquitylation and proteasome degradation. | Xiao Z et al. | — | 2020 | → |
| Dysregulated haematopoietic stem cell behaviour in myeloid leukaemogenesis. | Yamashita M et al. | — | 2020 | → |
| Ethanol exposure increases mutation rate through error-prone polymerases. | Voordeckers K et al. | — | 2020 | → |
| FANCJ compensates for RAP80 deficiency and suppresses genomic instability induced by interstrand cross-links. | Awate S et al. | — | 2020 | → |
| Fanconi anemia and the underlying causes of genomic instability. | Rageul J et al. | — | 2020 | → |
| Fetal alcohol spectrum disorders: Genetic and epigenetic mechanisms. | Kaminen-Ahola N | — | 2020 | → |
| GATA2 +9.5 enhancer: from principles of hematopoiesis to genetic diagnosis in precision medicine. | Soukup AA et al. | — | 2020 | → |
| Interplay between Cellular Metabolism and the DNA Damage Response in Cancer. | Moretton A et al. | — | 2020 | → |
| Letting wine polyphenols functional: Estimation of wine polyphenols bioaccessibility under different drinking amount and drinking patterns. | Sun X et al. | — | 2020 | → |
| Life style factors, tumor cell plasticity and cancer stem cells. | Chiodi I et al. | — | 2020 | → |
| Mitochondrial dysfunction and DNA damage accompany enhanced levels of formaldehyde in cultured primary human fibroblasts. | Nadalutti CA et al. | — | 2020 | → |
| Modification of stem cell states by alcohol and acetaldehyde. | Serio RN et al. | — | 2020 | → |
| Mutagenesis by Microbe: the Role of the Microbiota in Shaping the Cancer Genome. | Barrett M et al. | — | 2020 | → |
| NRF2/ACSS2 axis mediates the metabolic effect of alcohol drinking on esophageal squamous cell carcinoma. | Odera JO et al. | — | 2020 | → |
| Participation of TDP1 in the repair of formaldehyde-induced DNA-protein cross-links in chicken DT40 cells. | Nakano T et al. | — | 2020 | → |
| Poly(ethylene glycol)s With a Single Cinnamaldehyde Acetal Unit for Fabricating Acid-Degradable Hydrogel. | Zhao X et al. | — | 2020 | → |
| Prevalence of childhood trauma measured by the short form of the Childhood Trauma Questionnaire in people with substance use disorder: A meta-analysis. | Zhang S et al. | — | 2020 | → |
| Protective effects of Alda-1, an ALDH2 activator, on alcohol-derived DNA damage in the esophagus of human ALDH2*2 (Glu504Lys) knock-in mice. | Hirohashi K et al. | — | 2020 | → |
| SIRT7 Facilitates CENP-A Nucleosome Assembly and Suppresses Intestinal Tumorigenesis. | Liu X et al. | — | 2020 | → |
| Sphingolipids and the link between alcohol and cancer. | Barron KA et al. | — | 2020 | → |
| Suppression of non-homologous end joining does not rescue DNA repair defects in Fanconi anemia patient cells. | Thongthip S et al. | — | 2020 | → |
| Systemic Adeno-Associated Virus-Mediated Gene Therapy Prevents the Multiorgan Disorders Associated with Aldehyde Dehydrogenase 2 Deficiency and Chronic Ethanol Ingestion. | Matsumura Y et al. | — | 2020 | → |
| Tandem Deubiquitination and Acetylation of SPRTN Promotes DNA-Protein Crosslink Repair and Protects against Aging. | Huang J et al. | — | 2020 | → |
| The cGAS-STING Pathway in Hematopoiesis and Its Physiopathological Significance. | Liao W et al. | — | 2020 | → |
| The FANC/BRCA Pathway Releases Replication Blockades by Eliminating DNA Interstrand Cross-Links. | Renaudin X et al. | — | 2020 | → |
| The Key Characteristics of Carcinogens: Relationship to the Hallmarks of Cancer, Relevant Biomarkers, and Assays to Measure Them. | Smith MT et al. | — | 2020 | → |
| The repertoire of mutational signatures in human cancer. | Alexandrov LB et al. | — | 2020 | → |
| Two Aldehyde Clearance Systems Are Essential to Prevent Lethal Formaldehyde Accumulation in Mice and Humans. | Dingler FA et al. | — | 2020 | → |
| XPF-ERCC1 protects liver, kidney and blood homeostasis outside the canonical excision repair pathways. | Mulderrig L et al. | — | 2020 | → |
| Acetaldehyde forms covalent GG intrastrand crosslinks in DNA. | Sonohara Y et al. | — | 2019 | → |
| Alcohol abuse and disorder of granulopoiesis. | Shi X et al. | — | 2019 | → |
| Alcohol Drinking and the Risk of Chronic Kidney Damage: A Meta-Analysis of 15 Prospective Cohort Studies. | Li D et al. | — | 2019 | → |
| Alcohol Intake Interacts with Functional Genetic Polymorphisms of Aldehyde Dehydrogenase (ALDH2) and Alcohol Dehydrogenase (ADH) to Increase Esophageal Squamous Cell Cancer Risk. | Suo C et al. | — | 2019 | → |
| Aldehyde dehydrogenase-2 as a therapeutic target. | Kimura M et al. | — | 2019 | → |
| ALDH2 Repression Promotes Lung Tumor Progression via Accumulated Acetaldehyde and DNA Damage. | Li K et al. | — | 2019 | → |
| ALDH3A1 Overexpression in Melanoma and Lung Tumors Drives Cancer Stem Cell Expansion, Impairing Immune Surveillance through Enhanced PD-L1 Output. | Terzuoli E et al. | — | 2019 | → |
| Appropriate dose of ethanol exerts anti-senescence and anti-atherosclerosis protective effects by activating ALDH2. | Xue L et al. | — | 2019 | → |
| A secret that underlies Parkinson's disease: The damaging cycle. | Sun F et al. | — | 2019 | → |
| Bioanalytical and Mass Spectrometric Methods for Aldehyde Profiling in Biological Fluids. | Dator RP et al. | — | 2019 | → |
| Chromosome segregation errors generate a diverse spectrum of simple and complex genomic rearrangements. | Ly P et al. | — | 2019 | → |
| CYP1A2 contributes to alcohol-induced abnormal lipid metabolism through the PTEN/AKT/SREBP-1c pathway. | Zhu Q et al. | — | 2019 | → |
| (De)Toxifying the Epigenetic Code. | Zheng Q et al. | — | 2019 | → |
| Different Effects of Knockouts in ALDH2 and ACSS2 on Embryonic Stem Cell Differentiation. | Serio RN et al. | — | 2019 | → |
| Disorders affecting vitamin B<sub>6</sub> metabolism. | Wilson MP et al. | — | 2019 | → |
| DNA cross-link repair safeguards genomic stability during premeiotic germ cell development. | Hill RJ et al. | — | 2019 | → |
| Ductal tree ablation by local delivery of ethanol prevents tumor formation in an aggressive mouse model of breast cancer. | Kenyon E et al. | — | 2019 | → |
| Effect of ALDH2 on Sleep Disturbances in Patients with Parkinson's Disease. | Lin CY et al. | — | 2019 | → |
| Effects of environmental stressors on stem cells. | Worley JR et al. | — | 2019 | → |
| Endoscopic screening using esophageal iodine staining and genotypes of ADH1B and ALDH2 in Japanese alcohol-dependent women. | Yokoyama A et al. | — | 2019 | → |
| Genome-Wide CRISPR Screening Identifies the Tumor Suppressor Candidate OVCA2 As a Determinant of Tolerance to Acetaldehyde. | Sobh A et al. | — | 2019 | → |
| Holding All the Cards-How Fanconi Anemia Proteins Deal with Replication Stress and Preserve Genomic Stability. | Datta A et al. | — | 2019 | → |
| Identification and Characterization of Synthetic Viability with ERCC1 Deficiency in Response to Interstrand Crosslinks in Lung Cancer. | Heyza JR et al. | — | 2019 | → |
| Importance of finding the bona fide target of the Fanconi anemia pathway. | Sakai W et al. | — | 2019 | → |
| Intellectual Disability Associated With Pyridoxine-Responsive Epilepsies: The Need to Protect Cognitive Development. | Hassel B et al. | — | 2019 | → |
| Losing Sense of Self and Surroundings: Hematopoietic Stem Cell Aging and Leukemic Transformation. | Verovskaya EV et al. | — | 2019 | → |
| Lyophilized <i>B. subtilis</i> ZB183 Spores: 90-Day Repeat Dose Oral (Gavage) Toxicity Study in Wistar Rats. | Appala Naidu B et al. | — | 2019 | → |
| Metabolic property of acetaldehyde production from ethanol and glucose by oral Streptococcus and Neisseria. | Tagaino R et al. | — | 2019 | → |
| Pathogenic mutations identified by a multimodality approach in 117 Japanese Fanconi anemia patients. | Mori M et al. | — | 2019 | → |
| Precise Gene Editing Preserves Hematopoietic Stem Cell Function following Transient p53-Mediated DNA Damage Response. | Schiroli G et al. | — | 2019 | → |
| Psychosocial Motivators for Moderate Drinking among Young Asian Flushers in Singapore. | Kim HK et al. | — | 2019 | → |
| Reversible histone glycation is associated with disease-related changes in chromatin architecture. | Zheng Q et al. | — | 2019 | → |
| [Smoking, alcohol and diabetes (Update 2019)]. | Brath H et al. | — | 2019 | → |
| Stem cells under the influence of alcohol: effects of ethanol consumption on stem/progenitor cells. | Di Rocco G et al. | — | 2019 | → |
| The BRCA Tumor Suppressor Network in Chromosome Damage Repair by Homologous Recombination. | Zhao W et al. | — | 2019 | → |
| The functional ALDH2 polymorphism is associated with breast cancer risk: A pooled analysis from the Breast Cancer Association Consortium. | Ugai T et al. | — | 2019 | → |
| The Specific Inhibition of SOD1 Selectively Promotes Apoptosis of Cancer Cells via Regulation of the ROS Signaling Network. | Li X et al. | — | 2019 | → |
| Using human stem cells as a model system to understand the neural mechanisms of alcohol use disorders: Current status and outlook. | Scarnati MS et al. | — | 2019 | → |
| ZFP161 regulates replication fork stability and maintenance of genomic stability by recruiting the ATR/ATRIP complex. | Kim W et al. | — | 2019 | → |
| A Hepatocyte-Mimicking Antidote for Alcohol Intoxication. | Xu D et al. | — | 2018 | → |
| Biomimetic enzyme cascade reaction system in microfluidic electrospray microcapsules. | Wang H et al. | — | 2018 | → |
| Cadmium Activates Noncanonical Wnt Signaling to Impair Hematopoietic Stem Cell Function in Mice. | Zhao Y et al. | — | 2018 | → |
| DNA damage interactions on both nanometer and micrometer scale determine overall cellular damage. | Friedrich T et al. | — | 2018 | → |
| Epidemiology of Moderate Alcohol Consumption and Breast Cancer: Association or Causation? | Zakhari S et al. | — | 2018 | → |
| Fiber-Optic Bio-sniffer (Biochemical Gas Sensor) Using Reverse Reaction of Alcohol Dehydrogenase for Exhaled Acetaldehyde. | Iitani K et al. | — | 2018 | → |
| Fluorometric Sniff-Cam (Gas-Imaging System) Utilizing Alcohol Dehydrogenase for Imaging Concentration Distribution of Acetaldehyde in Breath and Transdermal Vapor after Drinking. | Iitani K et al. | — | 2018 | → |
| Impact of DNA lesion repair, replication and formation on the mutational spectra of environmental carcinogens: Aflatoxin B<sub>1</sub> as a case study. | Fedeles BI et al. | — | 2018 | → |
| Lnk/Sh2b3 deficiency restores hematopoietic stem cell function and genome integrity in Fancd2 deficient Fanconi anemia. | Balcerek J et al. | — | 2018 | → |
| Molecular mechanisms of the preventable causes of cancer in the United States. | Golemis EA et al. | — | 2018 | → |
| Reducing the health risks derived from exposure to addictive substances. | Anderson P et al. | — | 2018 | → |
| Stem Cells Spirited Away by Alcohol-Induced DNA Damage. | Milsom MD | — | 2018 | → |
| Synthetic lethal therapies for cancer: what's next after PARP inhibitors? | Ashworth A et al. | — | 2018 | → |