Biology subjects

Chen, X.

Publications and source records attributed to Chen, X..

At least 55 records · Page 3Linked to original sources

bioRxiv2018

Quantitative Real-Time Imaging of Glutathione with Sub-Cellular Resolution

Quantitative imaging of glutathione with high spatial and temporal resolution is essential for studying the roles of glutathione in redox biology. We developed a fluorescent glutathione probe--HaloRT--that targets organelles of interest through expressing organelle-specific HaloTag proteins. Using HaloRT, we quantitatively measure the glutathione concentrations in the nucleus and the cytosol and find no appreciable concentration gradient between these two organelles, challenging the view of nuclear compartmentalization of glutathione.

cell biology↗

bioRxiv2018

Genome analysis of the unicellular eukaryote Euplotes vannus provides insights into mating type determination and tolerance to environmental stresses

As a model organism in studies of cell and environmental biology, the free-living and cosmopolitan ciliated protist Euplotes vannus has more than ten mating types (sexes) and shows strong resistance to environmental stresses. However, the molecular basis of its sex determination mechanism and how the cell responds to stress remain largely unknown. Here we report a combined analysis of de novo assembled high-quality macronucleus (MAC; i.e. somatic) genome and partial micronucleus (MIC; i.e. germline) genome of Euplotes vannus. Furthermore, MAC genomic and transcriptomic data from several mating types of E. vannus were investigated and gene expression levels were profiled under different environmental stresses, including nutrient scarcity, extreme temperature, salinity and the presence of free ammonia. We found that E. vannus, which possesses gene-sized nanochromosomes in its MAC, shares a similar pattern on frameshifting and stop codon usage as Euplotes octocarinatus and may be undergoing incipient sympatric speciation with Euplotes crassus. Somatic pheromone loci of E. vannus are generated from programmed DNA rearrangements of multiple germline macronuclear destined sequences (MDS) and the mating types of E. vannus are distinguished by the different combinations of pheromone loci instead of possessing mating type-specific genes. Lastly, we linked the resilience to environmental temperature change to the evolved loss of temperature stress-sensitive regulatory regions of HSP70 gene in E. vannus. Together, the genome resources generated in this study, which are available online at Euplotes vannus DB (http://evan.ciliate.org), provide new evidence for sex determination mechanism in eukaryotes and common pheromone-mediated cell-cell signaling and cross-mating.

genomics↗

bioRxiv2018

Identification and characterization of cherry (Cerasus pseudocerasus G. Don) genes in response to parthenocarpy induced by GA3 through transcriptome analysis

Fruit set after successful pollination is a key process in the production of sweet cherries, but low fruit rate is the main problem for crop production in sweet cherries. Gibberellin treatment can directly induce parthenogenesis without pollination; therefore, gibberellin treatment is a very important method to improve the fruit setting rate of sweet cherries. Exogenous gibberellin can satisfy the hormone requirement during fruit growth and development. Some related studies have mainly focused on physiological aspects, such as breeding, branching, fertilization, etc., and the molecular mechanism is not clear. In this study, we analyzed the transcriptome of Meizao sweet cherry fruit treated with gibberellin during the anthesis and hard-core period to determine the genes associated with parthenocarpic fruit set. A total of 765 and 186 differentially expressed genes (DEGs) were found at anthesis and the hard-core stage after gibberellin 3 (GA3) treatment, respectively. The differentially expressed genes between the control and GA3 treatment showed that the GA3 response mainly included parthenocarpic fruit set and cell division. Exogenous gibberellin stimulated sweet cherry parthenocarpy and enlargement, which were verified by qRT-PCR results of related genes and the parthenocarpic fruit set and fruit size. Based on our research and previous studies on Arabidopsis thaliana, we identified the key genes associated with parthenocarpic fruit set and cell division. Briefly, we found patterns in the sweet cherry fruit setting-related DEGs, especially those associated with hormone balance, cytoskeleton formation and cell wall modification. Overall, the result provides a possible molecular mechanism regulating parthenocarpic fruit set, which is important for basic research and industrial development of sweet cherries.\n\nHighlightcherry genes in response to parthenocarpy and promote to fruit setting induced by GA3.

molecular biology↗

bioRxiv2018

Variation and diversification of the microbiome of Schlechtendalia chinensis on two alternate host plants

Schlechtendalia chinensis, a gall-inducing aphid, has two host plants in its life cycle. Its wintering host is a moss (typically Plagiomnium maximoviczii) and its main host is Rhus chinensis (Sumac), on which it forms galls during the summer.. This study investigated bacteria associated with S. chinensis living on the two different host plants by sequencing 16S rRNAs. A total of 183 Operational Taxonomic Units (OTUs) from 50 genera were identified from aphids living on moss, whereas 182 OTUs from 49 genera were found from aphids living in Sumac galls. The most abundant bacterial genus among identified OTUs from aphids feeding on both hosts was Buchnera. Despite similar numbers of OTUs, the composition of bacterial taxa showed significant differences between aphids living on moss and those living on R. chinensis. Specifically, there were 12 OTUs from 5 genera (family) unique to aphids living on moss, and 11 OTUs from 4 genera (family) unique to aphids feeding in galls on R. Chinensis. Principal Coordinate Analysis (PCoA) also revealed that bacteria from moss-residing aphids clustered differently from aphids collected from galls. Our results provid a foundation for future analyses on the roles of symbiotic bacteria in plant - aphid interactions in general, and how gall-specific symbionts differ in this respect.

microbiology↗

bioRxiv2018

Using composite phenotypes to reveal heterogeneity and model SpO2 of altitude acclimatization

Altitude acclimatization is the physiological process of the human body adjusting to the decreased availability of oxygen. Since several physiological processes are involved and the relation among them is complicated, analyses of single-traits is insufficient in revealing the complex mechanism of altitude acclimatization. In this study, we examined whether these physiological responses could be studied as composite phenotypes which are represented by a linear combination of physiological traits. We developed a strategy which combines both spectral clustering and PLSPM to define composite phenotypes. We captured 14 composite phenotypes from 28 physiological traits of altitude acclimatization. Using these composite phenotypes, we applied k-means to reveal hidden physiological heterogeneity in altitude acclimatization. Furthermore, we employed linear regression to systematically model oxygen saturation (SpO2) changes in altitude acclimatization and evaluated the model fitness performance. And composite phenotypes based Model 2 has better fitness than single-traits based Model 1 in all measurement indices. Therefore, this new strategy of defining and applying composite phenotypes can be considered as a general strategy of complex traits.

systems biology↗

bioRxiv2018

ERVcaller: Identifying and genotyping non-reference unfixed endogenous retroviruses (ERVs) and other transposable elements (TEs) using next-generation sequencing data

MotivationApproximately 8% of the human genome is derived from endogenous retroviruses (ERVs). In recent years, an increasing number of human diseases have been found to be associated with ERVs. However, it remains challenging to accurately detect the full spectrum of polymorphic (unfixed) ERVs using next-generation sequencing (NGS) data.\n\nResultsWe designed a new tool, ERVcaller, to detect and genotype transposable element (TE) insertions, including ERVs, in the human genome. We evaluated ERVcaller using both simulated and real benchmark whole-genome sequencing (WGS) datasets. By comparing with existing tools, ERVcaller consistently obtained both the highest sensitivity and precision for detecting simulated ERV and other TE insertions derived from real polymorphic TE sequences. For the WGS data from the 1000 Genomes Project, ERVcaller detected the largest number of TE insertions per sample based on consensus TE loci. By analyzing the experimentally verified TE insertions, ERVcaller had 94.0% TE detection sensitivity and 96.6% genotyping accuracy. PCR and Sanger sequencing in a small sample set verified 86.7% of examined insertion statuses and 100% of examined genotypes. In conclusion, ERVcaller is capable of detecting and genotyping TE insertions using WGS data with both high sensitivity and precision. This tool can be applied broadly to other species.\n\nAvailabilitywww.uvm.edu/genomics/software/ERVcaller.html\n\nContactdawei.li@uvm.edu\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2018

Early projections of Ebola outbreak size and duration with and without vaccine use in Equateur, Democratic Republic of Congo, as of May 21, 2018

BackgroundAs of May 27, 2018, 54 cases of Ebola virus disease (EVD) were reported in Equateur Province, Democratic Republic of Congo. We used reported case counts and time series from prior outbreaks to estimate the current outbreak size and duration with and without vaccine use.\n\nMethodsWe modeled Ebola virus transmission using a stochastic branching process model with a negative binomial distribution, using both estimates of reproduction number R declining from supercritical to subcritical derived from past Ebola outbreaks, as well as a particle filtering method to generate a probabilistic projection of the future course of the outbreak conditioned on its reported trajectory to date; modeled using 0%, 44%, and 62% estimates of vaccination coverage. Additionally, we used the time series for 18 prior Ebola outbreaks from 1976 to 2016 to parameterize a regression model predicting the outbreak size from the number of observed cases from April 4 to May 27.\n\nResultsWith the stochastic transmission model, we projected a median outbreak size of 78 EVD cases (95% credible interval: 52, 125.4), 86 cases (95% credible interval: 53, 174.3), and 91 cases (95% credible interval: 52, 843.5), using 62%, 44%, and 0% estimates of vaccination coverage. With the regression model, we estimated a median size of 85.0 cases (95% prediction interval: 53.5, 216.6).\n\nConclusionsThis outbreak has the potential to be the largest outbreak in DRC since 2007. Vaccines are projected to limit outbreak size and duration but are only part of prevention, control, and care strategies.

epidemiology↗

bioRxiv2018

Systematic Discovery of the Functional Impact of Somatic Genome Alterations in Individual Tumors through Tumor-specific Causal Inference

We report a tumor-specific causal inference (TCI) framework, which discovers causative somatic genome alterations (SGAs) through inferring causal relationships between SGAs and molecular phenotypes (e.g., transcriptomic, proteomic, or metabolomic changes) within an individual tumor. We applied the TCI algorithm to tumors from The Cancer Genome Atlas (TCGA) and identified those SGAs that causally regulate the differentially expressed genes (DEGs) within each tumor. Overall, TCI identified 634 SGAs that cause cancer-related DEGs in a significant number of tumors, including most of the previously known drivers and many novel candidate cancer drivers. The inferred causal relationships are statistically robust and biologically sensible, and multiple lines of experimental evidence support the predicted functional impact of both well-known and novel candidate drivers. By identifying major candidate drivers and revealing their functional impact in a tumor, TCI shed light on disease mechanisms of each tumor, providing useful information for advancing cancer biology and precision oncology.\n\nSignificance statementsCancer is mainly caused by SGAs. Precision oncology involves identifying and targeting tumor-specific aberrations resulting from causative SGAs. TCI is a novel computational framework for discovering the causative SGAs and their impact on oncogenic processes, thus revealing tumor-specific disease mechanisms. This information can be used to guide precision oncology.

cancer biology↗

bioRxiv2018

Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Integrative analysis of multi-omics layers at single cell level is critical for accurate dissection of cell-to-cell variation within certain cell populations. Here we report scCAT-seq, a technique for simultaneously assaying chromatin accessibility and the transcriptome within the same single cell. We show that the combined single cell signatures enable accurate construction of regulatory relationships between cis-regulatory elements and the target genes at single-cell resolution, providing a new dimension of features that helps direct discovery of regulatory patterns specific to distinct cell identities. Moreover, we generated the first single cell integrated maps of chromatin accessibility and transcriptome in human pre-implantation embryos and demonstrated the robustness of scCAT-seq in the precise dissection of master transcription factors in cells of distinct states during embryo development. The ability to obtain these two layers of omics data will help provide more accurate definitions of \"single cell state\" and enable the deconvolution of regulatory heterogeneity from complex cell populations.

genomics↗

bioRxiv2018

4-hydroxyphenylpyruvate dioxygenase thermolability is responsible for temperature-dependent melanogenesis in Aeromonas salmonicida subsP salmonicida

Aeromonas salmonicida subsp. salmonicida (A.s.s) is a major pathogen affecting fisheries worldwide. It is a well-known member of the pigmented Aeromonas species, which produces melanin at [≤] 22 {degrees}C. However, melanogenesis decreases as the culture temperature increases and is completely suppressed at 30-35 {degrees}C while bacterial growth is not affected. The mechanism and biological significance of this temperature-dependent melanogenesis are not clear. Heterologous expression of an A.s.s. 4-hydroxyphenylpyruvate dioxygenase (HppD), the most crucial enzyme in the HGA-melanin synthesis pathway, results in thermosensitive pigmentation in Escherichia coli, suggesting that HppD plays a key role in this process. In the current study, we demonstrated that the extreme thermolability of HppD is responsible for the temperature-dependent melanization of A.s.s. Substitutions in three residues, Ser18, Pro103, or Leu119 of HppD from A.s.s increases the thermolability of this enzyme and results in temperature-independent melanogenesis. Moreover, replacing the corresponding residues of HppD from Aeromonas media strain WS, which forms pigment independent of temperature, with those of A.s.s HppD leads to thermosensitive melanogenesis. Structural analysis suggested that mutations at these sites, especially at position P103, can strengthen the secondary structure of HppD and greatly improve its thermal stability. In addition, we found that HppD sequences of all A.s.s isolates are identical and that two of the three residues are completely conserved within A.s.s isolates, which clearly distinguishes these from other Aeromonas strains. We suggest that this property represents an adaptive strategy to the psychrophilic lifestyle of A.s.s.\n\nImportanceAeromonas salmonicida subsp. salmonicida (A.s.s) is the causative agent of furunculosis, a bacterial septicemia of cold water fish of the Salmonidae family. As it has a well-defined host range, A.s.s has become an ideal model to investigate the co-evolution of host and pathogen. For many pathogens, melanin production is associated with virulence. Although other species of Aeromonas can produce melanin, A.s.s is the only member of this genus that has been reported to exhibit temperature-dependent melanization. Here we demonstrate that thermosensitive melanogenesis in A.s.s strains is due to the thermolability of 4-hydroxyphenylpyruvate dioxygenase (HppD). The strictly conserved hppD sequences among A.s.s and the exclusive thermosensitive pigmentation of these strains might provide insight into the role of melanin in the adaptation to a particular host, and offer a novel molecular marker to readily differentiate A.s.s strains from other A. salmonicida subspecies and Aeromonas species.

molecular biology↗

bioRxiv2018

Reduced but not Enhanced Default Mode Network Functional Connectivity in Major Depressive Disorder: Evidence from 25 Cohorts in the REST-meta-MDD Project

Major Depressive Disorder (MDD) is common and disabling, but its neural pathophysiology remains unclear. Functional brain network studies in MDD have largely had limited statistical power and data analysis approaches have varied widely. The REST-meta-MDD Project of resting-state fMRI (R-fMRI) addresses these issues. The 25 research groups in China composing the REST-meta-MDD Project contributed R-fMRI data of 1,300 patients with MDD and 1,128 normal controls (NCs). The data were preprocessed locally with a standardized protocol prior to aggregated group analyses. We focused on functional connectivity (FC) within the default mode network (DMN), frequently reported to show increased FC in MDD. We found decreased instead of increased DMN FC when comparing 848 MDDs with 794 NCs from 17 sites after data exclusion. We found FC reduction only in recurrent MDD, not in first-episode drug-naive MDD. Decreased DMN FC was associated with medication usage but not with MDD duration. DMN FC was also positively related to symptom severity but only in recurrent MDDs. Exploratory analyses also revealed alterations of local intrinsic activity in MDD. We confirmed the key role of DMN in MDD but found reduced rather than increased FC within the DMN. Future studies should test whether decreased DMN FC mediates treatment response. This manuscript announces the publicly available resting-state fMRI indices of the REST-meta-MDD consortium shared via the R-fMRI Maps Project.\n\nSIGNIFICANCE STATEMENTFunctional connectivity within the default mode network in major depressive disorder patients has been frequently reported abnormal but with contradicting directions in previous small sample size studies. By creating the REST-meta-MDD consortium containing neuroimaging data of 1,300 depressed patients and 1,128 normal controls from 25 research groups in China, we found decreased default mode network functional connectivity in depressed patients, driven by patients with recurrent depression, and associated with current medication treatment but not with disease duration. These findings suggest that default mode network functional connectivity remains a prime target for understanding the pathophysiology of depression, with particular relevance to revealing mechanisms of effective treatments.

neuroscience↗

bioRxiv2018

The Evolution and Sequence Diversity of FhuA in Salmonella and Escherichia

The fhuACDB operon, present in a number of Enterobacteriaceae, encodes components essential for the uptake of ferric hydroxamate type siderophores. FhuA acts not only as transporter for physiologically important chelated ferric iron, but also as receptor for various bacteriophages, toxins and antibiotics, which are pathogenic to bacterial cells. In this research, the fhuA gene distribution and sequence diversity were investigated in Enterobacteriaceae, especially Salmonella and Escherichia. Comparative sequence analysis resulted in a fhuA phylogenetic tree that did not match the expected phylogeny based on housekeeping sequence analysis or trees of fhuCDB genes. The fhuA sequences showed a unique mosaic-clustering pattern. On the other hand, the gene sequences showed high conservation for strains from the same serovar or serotype. In total, six clusters were identified from FhuA proteins in Salmonella and Escherichia, among which typical peptide fragment variations could be defined. Six fragmental insertions / deletions and two substitution fragments were discovered, which could well classify the different clusters. Structure modeling demonstrated that all the six featured insertions/deletions and one substitution fragment are located at the apexes of the long loops of FhuA external pocket. These frequently mutated regions are likely under high selection pressure, and bacterial strains could have escaped from phage infection or toxin / antibiotics attack via fhuA gene mutations while maintaining the siderophore uptake activity essential for bacterial survival. The unusual fhuA clustering suggests that high frequency exchange of fhuA genes has occurred between enterobacterial strains after distinctive species were established.\n\nIMPORTANCEThe enterobacterial fhuACDB operon encodes proteins which mediate the uptake of siderophores to supply the cells with iron essential for bacterial survival. Here we show different evolutionary patterns for the fhu genes within the same operon. The fhuA has a phylogenetic tree that does not match the species phylogeny, whereas the rest of the fhu genes do. The fhuA genes showed inter-species sequence convergence and conservation within specific serovars and serotypes. Nearly all of the significant sequence differences among FhuA clusters are located in potential ligand-binding sites on the extracellular surface of fhuA-encoding receptors. The unusual fhuA clustering suggests the frequent recombination and exchange of fhuA genes between enterobacterial strains in the evolutionary state after distinctive species were established.\n\nOur findings suggested either a new evolutionary mechanism or local gene recombination in fhuA that is in contrast to previous evolutionary hypotheses that have formed under the assumption of no recombination.

microbiology↗

bioRxiv2018

Epidemiology, Microbiology and Therapeutic Consequences of Chronic Osteomyelitis in Northern China: A Retrospective Analysis of 255 Patients

The study aimed to explore the epidemiology and clinical characteristics of chronic osteomyelitis observed in a northern China hospital. Clinical data of 255 patients with chronic osteomyelitis from January 2007 to January 2014 were collected and analyzed, including general information, disease data, treatment and follow-up data. Chronic osteomyelitis is more common in males and in the age group from 41-50 years of age. Common infection sites are the femur, tibiofibular, and hip joint. More g+ than g- bacterial infections were observed, with S. aureus the most commonly observed pathogenic organism. The positive detection rate from debridement bacterial culture is 75.6%. The detection rate when five samples are sent for bacterial culture is 90.6%, with pathogenic bacteria identified in 82.8% of cases. The two-stage debridement method (87.0%) has higher first curative rate than the one-stage debridement method (71.2%). To improve detection rate using bacterial culture, at least five samples are recommended. Treatment of chronic osteomyelitis with two-stage debridement, plus antibiotic-loaded polymethylmethacrylate (PMMA) beads provided good clinical results in this study and is therefore recommended.

microbiology↗

bioRxiv2018

Structural basis for transfer RNA mimicry by a bacterial Y RNA

Noncoding Y RNAs are present in both animal cells and many bacteria. In all species examined, Y RNAs tether the Ro60 protein to an effector protein to perform various cellular functions. For example, in the bacterium Deinococcus radiodurans, Y RNA tethers Ro60 to the exoribonuclease polynucleotide phosphorylase, specializing this nuclease for structured RNA degradation. Recently, a new Y RNA subfamily was identified in bacteria. Bioinformatic analyses of these YrlA (Y RNA-like A) RNAs predict that the effector-binding domain resembles tRNA. We present the structure of this domain, the overall folding of which is strikingly similar to canonical tRNAs. The tertiary interactions that are responsible for stabilizing tRNA are present in YrlA, making it a close tRNA mimic. However, YrlA lacks a free CCA end and contains a kink in the stem corresponding to the anticodon stem. Since nucleotides in the D and T stems are conserved among YrlAs, they may be an interaction site for an unknown factor. Our experiments identify YrlA RNAs as a new class of tRNA mimics.

biochemistry↗

bioRxiv2018

Integrative analysis of single cell genomics data by coupled nonnegative matrix factorizations

When different types of functional genomics data are generated on single cells from different samples of cells from the same heterogeneous population, the clustering of cells in the different samples should be coupled. We formulate this \"coupled clustering\" problem as an optimization problem, and propose the method of coupled nonnegative matrix factorizations (coupled NMF) for its solution. The method is illustrated by the integrative analysis of single cell RNA-seq and single cell ATAC-seq data.\n\nSignificance StatementsBiological samples are often heterogeneous mixtures of different types of cells. Suppose we have two single cell data sets, each providing information on a different cellular feature and generated on a different sample from this mixture. Then, the clustering of cells in the two samples should be coupled as both clusterings are reflecting the underlying cell types in the same mixture. This \"coupled clustering\" problem is a new problem not covered by existing clustering methods. In this paper we develop an approach for its solution based the coupling of two nonnegative matrix factorizations. The method should be useful for integrative single cell genomics analysis tasks such as the joint analysis of single cell RNA-seq and single cell ATAC-seq data.

bioinformatics↗

bioRxiv2018

Biogenesis of a young, 22-nt microRNA in Phaseoleae species by precursor-programmed uridylation

Phased, secondary siRNAs (phasiRNAs) represent a class of small RNAs in plants generated via distinct biogenesis pathways, predominantly dependent on the activity of 22 nt miRNAs. Most 22 nt miRNAs are processed by DCL1 from miRNA precursors containing an asymmetric bulge, yielding a 22/21 nt miRNA/miRNA* duplex. Here we show that miR1510, a soybean miRNA capable of triggering phasiRNA production from numerous NB-LRRs, previously described as 21 nt in its mature form, primarily accumulates as a 22 nt isoform via monouridylation. We demonstrate that in Arabidopsis, this uridylation is performed by HESO1. Biochemical experiments showed that the 3 terminus of miR1510 is only partially 2-O-methylated, because of the terminal mispairing in the miR1510/miR1510* duplex that inhibits HEN1 activity in soybean. miR1510 emerged in the Phaseoleae ~41 to 42 MYA with a conserved precursor structure yielding a 22 nt monouridylated form, yet a variant in mung bean is processed directly in a 22 nt mature form. This analysis of miR1510 yields two observations: (1) plants can utilize post-processing modification to generate abundant 22 nt miRNA isoforms to more efficiently regulate target mRNA abundances; (2) comparative analysis demonstrates an example of selective optimization of precursor processing of a young plant miRNA.

plant biology↗

bioRxiv2018

Asymmetric increases in the intensity of the green autofluorescence of ischemic stroke patients’ skin and fingernails: A novel diagnostic biomarker for ischemic stroke

AbstractEarly and economical diagnosis of acute ischemic stroke (AIS) is pivotal for therapeutic efficacy, particularly for the settings where medical imaging resource is deficient. We have obtained evidence supporting our hypothesis that collective properties of the green autofluorescence (AF) of the fingernails and certain skins positions may be a novel diagnostic biomarker for AIS: Both the green AF intensity and AF asymmetry of the AIS patients in their Index Fingernails and most examined skins positions were significantly higher than that of the healthy subjects and the Non-AIS subjects. ROC analyses and machine learning-based analyses on the AF properties showed that AUC was 0.93 and 0.87, respectively, for differentiating the AIS patients from the healthy subjects and for differentiating the AIS patients from the Non-AIS subjects. The AIS patients had significantly higher AF intensity and AF asymmetry at several examined positions, compared to those of the patients of Parkinsons disease, pulmonary infection and transient ischemic attack. The AUC was 0.79 - 0.88 for differentiating AIS patients from each of these diseases. There was evidence suggesting that the AF originates from keratins. Collectively, our study has indicated that the characteristic AISs Pattern of AF is a novel diagnostic biomarker for the disease. The Pattern of AF Technology holds excellent potential to become a new non-invasive, label-free and economical diagnostic approach for AIS, which is particularly valuable when MRI or CT imaging resource is deficient.

neuroscience↗

bioRxiv2018

A rapid and robust method for single cell chromatin accessibility profiling

The assay for transposase-accessible chromatin using sequencing (ATAC-seq) is widely used to identify regulatory regions throughout the genome. However, very few studies have been performed at the single cell level (scATAC-seq) due to technical challenges. Here we developed a simple and robust plate-based scATAC-seq method, combining upfront bulk Tn5 tagging with single-nuclei sorting. We demonstrated that our method worked robustly across various systems, including fresh and cryopreserved cells from primary tissues. By profiling over 3,000 splenocytes, we identify distinct immune cell types and reveal cell type-specific regulatory regions and related transcription factors.

genomics↗