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Dong, X.

Publications and source records attributed to Dong, X..

At least 307 records · Page 17Linked to original sources

Reward produces learning of a consciously inaccessible feature

Reward has significant impacts on behavior and perception. Most past work in associative reward learning has used distinct visual cues to associate with different reward values. Thus, it remains unknown to what extent the learned associations depend on the consciousness. Here we resolved this issue by using an inter-ocular suppression paradigm with the monetary rewarding and non-rewarding cues identical to each other except for the eye-of-origin. Thus, the reward coding system cannot rely on the consciousness to select the reward-associated cue. Surprisingly, the targets in the rewarded eye broke into awareness faster than those in the non-rewarded eye. We further revealed that producing this effect required both attention and inter-ocular suppression. These findings suggest that the humans reward coding system can produce two different types of reward-based learning. One is independent of the consciousness yet fairly consuming attentional resource. The other one results from volitional selections guided by top-down attention.

neuroscience↗

CsHscB as a novel TLR2 agonist from carcinogenic liver fluke Clonorchis sinensis modulates host immune response

Clonorchis sinensis-a fluke dwelling on the intrahepatic bile ducts causes clonorchiasis. During C. sinensis infection, worm-host interaction results in activation of PRRs and further triggers immune responses which determine the outcome of infection. However, the mechanisms by which pathogen-associated molecules patterns from C. sinensis interacted with TLRs were poorly understood. In the present study, we identified a [~]34 kDa lipoprotein CsHscB from C. sinensis which physically bound with TLR2. We also found that recombinant CsHscB (rCsHscB) potently activated macrophage to express various proteins including TLR2, CD80, MHCII, and cytokines like IL-6, TNF-, and IL-10 in a TLR2-dependent manner but rCsHscB failed to induce IL-10 in macrophages from Tlr2-/- mice. Moreover, ERK1/2 activation was required for rCsHscB-induced IL-10 production in macrophages. In vivo study revealed that rCsHscB triggered a high induction of IL-10 in the wild-type (WT) but not in Tlr2-/- mice. Our data thus demonstrate that rCsHscB from C. sinensis is an unidentified TLR2 agonist with immune regulatory activities, and may have some therapeutic implications in future beyond parasitology.

immunology↗

aCPSF1 controlled archaeal transcription termination: a prototypical eukaryotic model

Transcription termination defines RNA 3'-ends and guarantees programmed transcriptomes, thus is an essential biological process for life. However, transcription termination mechanisms remain almost unknown in Archaea. Here reported the first general transcription termination factor of Archaea, the conserved ribonuclease aCPSF1, and elucidated its 3'-end cleavage dependent termination mechanism. Depletion of Mmp-aCPSF1 in a methanoarchaeon Methanococcus maripaludis caused a genome-wide transcription termination defect and overall transcriptome chaos, and cold-sensitive growth. Transcript-3'end-sequencing (Term-seq) revealed transcriptions mostly terminated downstream of a uridine-rich terminator motif, where Mmp-aCPSF1 performed cleavage. The endoribonuclease activity was determined essential to terminate transcription in vivo as well. Through super-resolution photoactivated localization microscopy imaging, co-immunoprecipitation, and chromatin immunoprecipitation, we demonstrated that Mmp-aCPSF1 localizes within nucleoid and associates with RNAP and chromosomes. aCPSF1 appears to co-evolve with archaeal RNAPs, and two distant orthologs each from Lokiarchaeota and Thaumarchaeota could replace Mmp-aCPSF1 to termination transcription. Thus, aCPSF1 dependent termination mechanism could be universally employed in Archaea, including Lokiarchaeota, one supposed archaeal ancestor of Eukaryotes. Therefore, the reported aCPSF1 cleavage-dependent termination mode not only hints an archetype of Eukaryotic 3'-end processing/cleavage triggered RNAP II termination, but also would shed lights on understanding the complex eukaryotic termination based on the simplified archaeal model.

microbiology↗

Novel mediation analysis of human plasma proteome and metabolome reveals mediators of improved glycemia after gastric bypass surgery

Molecular mechanisms by which Roux-en-Y gastric bypass (RYGB) improves glycemic control and metabolism in type 2 diabetes (T2D) remain incompletely understood. In the SLIMM-T2D trial, participants with T2D were randomized to RYGB or nonsurgical management and their fasting plasma proteome and metabolome were analyzed for up to 3 years. To identify analytes that mediate improvement in outcomes, we developed a high-throughput mediation analysis method (Hitman), which is significantly more powerful than existing methods. Top-ranking analyte mediators of glycemia improvement were growth hormone receptor and prolylhydroxyproline, which were more significant than any clinical mediator, including BMI. Beta-alanine and Histidine Metabolism (both including CNDP1) were top differentially regulated pathways, and Valine, Leucine and Isoleucine Degradation was also a top differentially-regulated pathway and a top mediator of improvement in insulin resistance. The identified analytes may serve as novel targets for T2D therapy. More broadly, Hitman can identify analyte mediators of outcomes in randomized trials for which high-throughput data are available.

systems biology↗

N-linked surface glycan biosynthesis, composition, inhibition, and function in cnidarian-dinoflagellate symbiosis

The success of symbioses between cnidarian hosts (e.g. corals and sea anemones) and micro-algal symbionts hinges on the molecular interactions that govern the establishment and maintenance of intracellular mutualisms. As a fundamental component of innate immunity, glycan-lectin interactions impact the onset of marine endosymbioses, but our understanding of the effects of cell surface glycome composition on symbiosis establishment remains limited. In this study, we examined the canonical N-glycan biosynthesis pathway in the genome of the dinoflagellate symbiont Breviolum minutum (family Symbiodiniaceae) and found it to be conserved with the exception of the transferase GlcNAc-TII (MGAT2). Using coupled liquid chromatography-mass spectrometry (LC-MS/MS), we characterized the cell surface N-glycan content of B. minutum, providing the first insight into the molecular composition of surface glycans in dinoflagellates. We then used the biosynthesis inhibitors kifunensine and swainsonine to alter the glycan composition of B. minutum. Successful high-mannose enrichment via kifunensine treatment resulted in a significant decrease in colonization of the model sea anemone Aiptasia (Exaiptasia pallida) by B. minutum. Hybrid glycan enrichment via swainsonine treatment, however, could not be confirmed and did not impact colonization. We conclude that functional Golgi processing of N-glycans is critical for maintaining appropriate cell surface glycan composition and for ensuring colonization success by B. minutum.

molecular biology↗

The usage of six human IGHJ genes follows a particular nonrandom selection: The recombination signal sequence affects the usage frequency of six human IGHJ genes

The formation of the B cell receptor (BCR) heavy chain variable region is derived from the germline V(D)J gene rearrangement according to the \"12/23\" rule and the \"beyond 12/23\" rule. The usage frequency of each V(D)J gene in the peripheral BCR repertoires is related to the initial recombination, self-tolerance selection, and the clonal proliferative response. However, their specific differences and possible mechanisms are still unknown. We analyzed in-frame and out-of-frame BCR-H repertoires from human samples with physiological and various pathological conditions by high-throughput sequencing. Our results showed that IGHJ gene frequency follows a similar pattern where IGHJ4 is used at high frequency (>40%), IGHJ6/IGHJ3/IGHJ5 is used at medium frequencies (10%[~]20%), and IGH2/IGHJ1 is used at low frequency (<4%) under whether physiological or various pathological conditions. Furthermore, analysis of the recombination signal sequences suggested that the conserved nonamer and heptamer and certain 23 bp spacer length may affect the initial IGHD-IGHJ recombination, which results in different frequencies of IGHJ genes among the initial BCR-H repertoire. Based on this \"background repertoire\", we recommend that re-evaluation and further investigation are needed when analyzing the significance and mechanism of IGHJ gene frequency in self-tolerance selection and the clonal proliferative response.

genomics↗

Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing

Single-cell (scSeq) and single-nucleus sequencing (snSeq) are powerful tools to investigate cancer genomics at single cell resolution. Multiple studies have recently illuminated intratumoral heterogeneity in glioblastoma, however, the majority focused on molecular complexity of tumor cells, without considering unexplored host cell types that contribute to the microenvironment around tumor. To address the glioblastoma microenvironment composition and potential tumor-host interactions, we performed deep coverage sequencing of freshly resected primary GBM patient tissue without implementing any tumor enrichment strategies. The sequencing resulted in 902 cells and 1186 nuclei, respectively, passing quality control and with low mitochondrial gene percentage. We customized reference transcriptome by listing gene transcript loci as exons to take into account immature RNA, which greatly improved the alignment rate for single-nucleus data. We applied Cell Ranger pipelines (Version 3.0.2) and Seurat package (Version 2.3.1) and discovered 10 clusters in both scSeq and snSeq. Pathway analysis of each cluster signature in scSeq data along with known GBM microenvironment cell signatures revealed glioma tumor population along with surrounding microglia/macrophages, astrocytes, pericytes, oligodendrocytes, T cells and endothelial cells. The analysis of snSeq was able to capture the majority of cell types from patient tissues (tumor and microenvironment cells), but interestingly presented different cell type composition in microenvironment cell types such as microglia/macrophages. Integrating single-cell and single-nucleus transcriptomic data using canonical correlation analysis facilitated a comparison of snSeq and scSeq, contrasting depiction for certain cell types (e.g. NKX6-2 gene in Oligodendrocytes). Differential analysis of pathways between tumor and microenvironment cells unveiled potentially rewired pathways such as double strand break repair pathway. Our results demonstrate the cellular diversity of brain tumor microenvironment and lay a foundation to further investigate the individual tumor and host cell transcriptomes that are influenced not only by their cell identity but also by their interaction with surrounding microenvironment.

genomics↗

ADAMTS-family protease MIG-17 regulates synaptic allometry by modifying the extracellular matrix and modulating glia morphology during growth

Synapses are largely established during embryogenesis and maintained during growth. The mechanisms that regulate synaptic allometry--the maintenance of synaptic positions during growth--are largely unknown. We performed forward genetic screens in C. elegans for synaptic allometry mutants and identified mig-17, a secreted metalloprotease of the conserved ADAMTS family. Through proteomic mass spectrometry analyses, cell biological and genetic studies we determined that MIG-17 is expressed by muscle cells to modulate glia location and morphology. Glia are proximal to synapses, and the glial location and morphology determine synaptic position during growth. Mig-17 regulates synapse allometry by influencing epidermal-glia crosstalk through the regulation of basement membrane proteins, including collagen type IV, SPARC and fibulin. Our findings underscore the importance of glia location in the maintenance of synaptic allometry, and uncover a muscle-epidermal-glia signaling axis, mediated through the extracellular matrix, in the regulation of glia morphology and synaptic positions during growth.

neuroscience↗

Ranking of Major Classes of Antibiotics for Activity against Stationary Phase Pseudomonas aeruginosa and Identification of Clinafloxacin + Cefuroxime + Gentamicin Drug Combination that Eradicates Persistent P. aeruginosa Infection in a Murine Cystic Fibrosis Model

Pseudomonas aeruginosa can cause serious persistent infections such as ventilator-associated pneumonia, sepsis, biofilm-related infections as in cystic fibrosis (CF) patients. Although CF lung infections can be treated with antibiotics, full clearance is difficult due to P. aeruginosa persistence. While antibiotic activity against growing P. aeruginosa is well documented, their activity against the non-growing persisters enriched in stationary phase cultures has not been well studied. Here, we systematically evaluated and ranked the six major classes of antibiotics, cell wall and cell membrane inhibitors, protein synthesis inhibitors, DNA synthesis inhibitors, RNA synthesis inhibitors, sulfa drugs, and nitrofurantoin, for their activity against both growing and persister forms of P. aeruginosa using colony forming count (CFU) and SYBR Green I/Propidium Iodide (PI) viability assay. Among the six major classes of antibiotics, cell wall and cell membrane inhibitors (Cefuroxime and Colistin), DNA synthesis inhibitors (Clinafloxacin) and sulfa drugs (Sulfamethoxazole) had good activity against stationary phase cells. In contrast, protein synthesis inhibitors (Gentamicin), RNA synthesis inhibitor (Rifampicin) and Nitrofurantoin had relatively poor activity against the stationary phase P. aeruginosa but relatively high activity against log phase P. aeruginosa. Clinafloxacin is the only single drug that could completely kill all (109 CFU) stationary phase cells in a 4 day drug exposure. The Cefuroxime + Gentamicin+ Clinafloxacin combination could kill all biofilm bacteria in 2 days whereas the clinically used drug combination Cefuroxime + Gentamicin + Colistin only partially killed the biofilm bacteria with 103 CFU remaining. In a murine persistent CF lung infection model, only Cefuroxime + Gentamicin+ Clinafloxacin cleared all bacteria in the infected lungs, whereas Clinafloxacin alone, or Cefuroxime + Clinafloxacin, or the current recommended drug combination Cefuroxime + Gentamicin, all failed to completely clear the bacterial load in the lungs. The complete sterilization of the bacterial load is a property of Clinafloxacin combination, as Cefuroxime + Gentamicin+ Levofloxacin combination was unable to clear the bacterial load in the lungs. Our findings demonstrate the importance of persister drug clinafloxacin, offer new therapeutic approaches for more effective treatment of persistent P. aeruginosa infections, and may have implications for treating other persistent infections.

microbiology↗

The common neoantigens in colorectal cancer are predicted and validated to be presented or immunogenic

Colorectal cancer (CRC) is a malignant cancer with high incidence and mortality in the world, as the result of the traditional treatments. Immunotherapy targeting neoantigens can induce durable tumor regression in cancer patients, but is almost limited to individual treatment, resulting from the unique neoantigens. Many shared oncogenic mutations are detected, but whether the common neoantigens can be identified in CRC is unknown. Using the somatic mutations data from 321 CRC patients combined with a filter standard and 7 predicted algorithms, we screened and obtained 25 HLA-A*11:01 restricted common neoantigens with high binding affinity (IC50<50 nM) and presentation score (>0.9). Except the positive epitope KRAS_G12V8-16, 11 out of 25 common neoantigens were proved to be naturally processed and presented on constructed K562 cell surface by mass spectroscopy (MS), and 11 out of 25 common neoantigens specifically induced in vitro pre-stimulated cytotoxic lymphocyte (CTL) to secrete IFN-{gamma}. However, only 2 out of 25 common neoantigens were simultaneously presented and immunogenic. Moreover, using cell-sorting technology combined with single-cell RNA sequencing, the immune repertoire profiles of C1orf170_S418G413-421 and KRAS_G12V8-16-specific CTL were clarified. Therefore, common neoantigens with presentation and immunogenicity could be found in CRC, which would be developed as the universal targets for CRC immunotherapy.

immunology↗

Genome-wide sequence information reveals recurrent hybridization among diploid wheat wild relatives

Many conflicting hypotheses regarding the relationships among crops and wild species closely related to wheat (the genera Aegilops, Amblyopyrum, and Triticum) have been postulated. The contribution of hybridization to the evolution of these taxa is intensely discussed. To determine possible causes for this, and provide a phylogeny of the diploid taxa based on genome-wide sequence information, independent data was obtained from genotyping-by-sequencing and a target-enrichment experiment that returned 244 low-copy nuclear loci. The data were analyzed with Bayesian, likelihood and coalescent-based methods. D statistics were used to test if incomplete lineage sorting alone or together with hybridization is the source for incongruent gene trees. Here we present the phylogeny of all diploid species of the wheat wild relatives. We hypothesize that most of the wheat-group species were shaped by a primordial homoploid hybrid speciation event involving the ancestral Triticum and Am. muticum lineages to form all other species but Ae. speltoides. This hybridization event was followed by multiple introgressions affecting all taxa but Triticum. Mostly progenitors of the extant species were involved in these processes, while recent interspecific gene flow seems insignificant. The composite nature of many genomes of wheat group taxa results in complicated patterns of diploid contributions when these lineages are involved in polyploid formation, which is, for example, the case in the tetra-and hexaploid wheats. Our analysis provides phylogenetic relationships and a testable hypothesis for the genome compositions in the basic evolutionary units within the wheat group of Triticeae.

evolutionary biology↗

Transcriptome characterization analysis and molecular profiles of obligatory diapause induction of the Chinese citrus fruit fly, Bactrocera minax (Diptera: Tephritidae)

The Chinese citrus fruit fly, Bactrocera minax, is a devastating citrus pest in China, Bhutan and India. It will enter obligatory pupal diapause in each generation at specific stage, while little is known about the course and the molecular mechanisms of diapause induction. To gain insight into possible mechanisms of obligatory pupal diapause induction, high-throughput RNA-seq data were generated from second-instar larvae (2L), third-instar larvae (3L) and pupal (P, one week after pupating). A total of 116,402 unigenes were assembled and researched against public databases, and 54,781 unigenes matched to proteins in the NCBI database using the BLAST search. Three pairwise comparisons were performed, and significantly differentially regulated transcripts were identified. Several differentially expressed genes (DEGs) expression patterns revealed that those highly or lowly expressed genes in pupal stage were predicted to be involved in diapause induction. Moreover, GO function and KEGG pathway analysis were performed on all DEGs and showed that 20-hydroxyecdysone (20E) biosynthesis, insulin signaling pathway, FoxO signaling pathway, cell cycle and metabolism pathway may be related to the obligatory diapause of the Chinese citrus fruit fly. This study provides valuable information about the Chinese citrus fruit fly transcriptome for future gene function research, and contributes to the in-depth elucidation of the molecular regulation mechanism of insect obligatory diapause induction.

developmental biology↗

Single-cell whole-genome sequencing reveals mutational landscapes of DNA mismatch repair deficiency in mouse primary fibroblasts

DNA Mismatch repair (MMR) deficiency is a major cause of hereditary non-polyposis colorectal cancer, and is also associated with increased risk of several other cancers. This is generally ascribed to the role of MMR in avoiding mutations by correcting DNA replication errors. In MMR knockout mice very high frequencies of somatic mutations, up until 100-fold of background, have been reported. However, these results have been obtained using bacterial reporter transgenes, which are not representative for the genome overall, and mutational patterns of MMR deficiency remain largely unknown. To fill this knowledge gap, we performed single-cell whole-genome sequencing of lung fibroblasts of Msh2-/- and wild-type mice. We observed a 4-fold increase of somatic single nucleotide variants (SNVs) in the fibroblasts of Msh2-/- mice compared to those of wild-type mice. The SNV signature of Msh2 deficiency was found to be driven by C>T and T>C transitions. By comparing it to human cancer signatures, we not only confirmed the inferred MMR-deficiency-related etiology of several cancer signatures but also suggested that MMR deficiency is likely the cause of a cancer signature with its etiology previously unknown. We also observed a 7-fold increase of somatic small insertions and deletions (INDELs) in the Msh2-/- mice. An elevated INDEL frequency has also been found in human MMR-related cancers. INDELs and SNVs distributed differently across genomic features in the Msh2-/- and control cells, with evidence of selection pressure and repair preference. These results provide insights into the landscape of somatic mutations in normal somatic cells caused by MMR deficiency.\n\nSignificanceOur results show that MMR deficiency in the mouse is associated with a much lower elevation of somatic mutation rates than previously reported and provides the first MMR whole-genome mutational landscapes in normal somatic cells in vivo.

genomics↗

A shared core microbiome in soda lakes separated by large distances

In alkaline soda lakes, high concentrations of dissolved carbonates establish an environment favouring productive phototrophic microbial mat communities. Here we show how different species of microbial phototrophs and autotrophs contribute to this exceptional productivity. Four years of amplicon and shotgun DNA sequencing data from microbial mats from four different lakes indicated the presence of over 2,000 different species of Bacteria and Eukaryotes. Metagenome-assembled-genomes were obtained for a core microbiome of <100 abundant bacteria, which was shared among lakes and accounted for half of the extracted DNA throughout the four year sampling period. Most of the associated species were related to similar microbes previously detected in sediments of Central Asian alkaline soda lakes, showing that common selection principles drive community assembly from a globally distributed reservoir of alkaliphile biodiversity. Dispersal events between the two distant lake systems were shown to be extremely rare, with dispersal rates a function of abundance in microbial mats, but not sediments. Detection of more than 7,000 expressed proteins showed how phototrophic populations allocated resources to specific processes and occupied complementary niches. Carbon fixation only proceeded by the Calvin-Benson-Bassham cycle, detected in Cyanobacteria, Alphaproteobacteria, and, suprisingly, Gemmatomonadetes. Our study not only provides new fundamental insight into soda lake ecology, but also provides a template, guiding future efforts to engineer robust and productive biotechnology for carbon dioxide conversion.\n\nImportanceAlkaline soda lakes are among the most productive ecosystems worldwide, despite their high pH. This high productivity leads to growth of thick \"mats\" of filamentous cyanobacteria. Here, we show that such mats have very high biodiversity, but at the same time contain a core, shared set of only approximately 100 different bacteria that perform key functions, such as photosynthesis. This \"core microbiome\" occurs both in Canadian and Central Asian soda lakes, >8,000 km apart. We present evidence for (very rare) dispersion of some core microbiome members from Canadian mats to Central Asian soda lake sediments. The close similarity between distant microbial communities indicates that these communities share common design principles, that reproducibly lead to a high and robust productivity. We unravel a few examples of such principles and speculate that these might be applied to create robust biotechnology for carbon dioxide conversion, to mitigate of global climate change.

microbiology↗

Neuronal histone methyltransferase EZH2 regulates neuronal morphogenesis, synaptic plasticity, and cognitive behavior of mice

Recent studies showed that in the nervous system histone methyltransferase EZH2-mediated trimethylation of histone H3 lysine 27 (H3K27me3) acts to regulate neural stem cell proliferation and fate specificity through silencing different gene sets. Here we explored the function of EZH2 in early post-mitotic excitatory neurons by generating a neuronal specific Ezh2 conditional knockout mouse line. The results showed that lack of neuronal EZH2 led to delayed neuronal migration, more complex dendritic arborization, and significantly increased dendritic spine density. RNA-sequencing (RNA-seq) experiments comparing control and Ezh2 knockout neurons revealed that neuronal EZH2 regulated genes related to neuronal morphogenesis. In particular, Pak3 was identified as a target gene suppressed by EZH2 and H3K27me3, and expression of dominant negative PAK3 reversed Ezh2 knockout-induced higher dendritic spine density. Lastly, lack of neuronal EZH2 resulted in impaired memory behaviors in adult mice. Our results demonstrated that neuronal EZH2 played important roles in controlling multiple steps of neuronal morphogenesis during development, which had long-lasting effects on cognitive function in adult mice.

neuroscience↗

Whole genome base-wise aggregation and functional prediction for human non-coding regulatory variants

Predicting the functional or pathogenic regulatory variants in the human non-coding genome facilitates the interpretation of disease causation. While numerous prediction methods are available, their performance is inconsistent or restricted to specific tasks, which raises the demand of developing comprehensive integration for those methods. Here, we compile whole genome base-wise aggregations, regBase, that incorporate largest prediction scores. Building on different assumptions of causality, we train three composite models to score functional, pathogenic and cancer driver non-coding regulatory variants respectively. We demonstrate the superior and stable performance of our models using independent benchmarks and show great success to fine-map causal regulatory variants. We believe that regBase database together with three composite models will be useful in different areas of human genetic studies, such as annotation-based casual variant fine-mapping, pathogenic variant discovery as well as cancer driver mutation identification. regBase is freely available at https://github.com/mulinlab/regBase.

genomics↗

Quantitative investigation of factors relevant to the T cell spot test for tuberculosis infection in active tuberculosis

BackgroundPrevious qualitative studies suggested that the false negative rate of T cell spot test for tuberculosis infection (T-SPOT.TB) is associated with many risk factors in tuberculosis patients; However, more precise quantitative studies are not well known. ObjectiveTo investigate the factors affecting quantified T-SPOT.TB in patients with active tuberculosis. MethodsWe retrospectively analyzed the data of 360 patients who met the inclusion criteria. Using the levels of early secreted antigenic target 6 kDa (ESAT-6) and culture filtrate protein 10 kDa (CFP-10) as dependent variables, variables with statistical significance in the univariate analysis were subjected to optimal scaling regression analysis. ResultsThe results showed that the ESAT-6 regression model had statistical significance (P-trend < 0.001) and that previously treated cases, CD4+ and platelet count were its independent risk factors (all P-trend < 0.05); their importance levels were 0.095, 0.596 and 0.100, respectively, with a total of 0.791. The CFP-10 regression model also had statistical significance (P-trend < 0.001); platelet distribution width and alpha-2 globulin were its independent risk factors (all P-trend < 0.05), their importance levels were 0.287 and 0.247, respectively, with a total of 0.534. The quantification graph showed that quantified T-SPOT.TB levels had a linear correlation with risk factors. ConclusionThe test results of T-SPOT.TB should be given more precise explanations, especially in patients with low levels of CD4+, platelet, alpha-2 globulin and high platelet distribution width.

epidemiology↗

Single-cell analysis reveals different age-related somatic mutation profiles between stem and differentiated cells in human liver

Accumulating somatic mutations have been implicated in age-related cellular degeneration and death. Because of their random nature and low abundance, somatic mutations are difficult to detect except in single cells or clonal lineages. Here we show that in single hepatocytes from human liver, an organ normally exposed to high levels of genotoxic stress, somatic mutation frequencies are high and increase substantially with age. Significantly lower mutation frequencies were observed in liver stem cells and organoids derived from them. These results could explain the increased age-related incidence of liver disease in humans and stress the importance of stem cells in maintaining genome integrity.

genomics↗