AtacWorks: A deep convolutional neural network toolkit for epigenomics
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE147113 | GEO | 2021/01/11
REPOSITORIES: GEO
Similar Datasets
Project description:We surveyed the variation and dynamics of active regulatory elements genome-wide in CD4+ T cells, using Assay of Transposase Accessible Chromatin with sequencing (ATAC-seq) in longitudinal samples from healthy volunteers and during T cell activation. We created robust pipelines that enable accurate single molecule counting and allelic discrimination from clinical material. Over 4000 regulatory elements (7.2%) showed reproducible personal variation in activity. Gender was the most significant attributable source of regulome variation. ATAC-seq revealed novel elements that escape X chromosome inactivation and predicted gender-specific gene regulatory networks across autosomes, which coordinately impact genes with immune function. Noisy regulatory elements with personal variation in accessibility are significantly enriched for autoimmune disease loci. Over one third of regulome variation lacked genetic variation in cis, suggesting contributions from environmental or epigenetic factors. These results refine concepts of human individuality and provide foundational reference to compare disease-associated regulomes. We examined chromatin structure using ATAC-seq in purified human CD4+ T cells in 33 samples from 12 healthy donors and 15 samples from 3 patients with cutaneous T cell leukemia (CTCL). For T cell activation (TCA) time course, CD4+ cells from healthy donor 1 isolated as above were stimulated with ionomycin (1 ug/mL) and Phorbol Myristate Acetate (PMA; 20 ng/mL) and collected at 0, 1, 2, 4 hours in duplicate.
2015-06-23 | E-GEOD-60682 | biostudies-arrayexpress
Project description:Recent technological advances have enabled massively parallel single-cell Assay for Transposase Accessible Chromatin by sequencing (scATAC-seq) to simultaneously profile the epigenomic landscape in thousands of individual cells. scATAC-seq methods sample genomic DNA accessible to transposases, but have not previously been combined with measurement of protein levels. Here, we present ATAC with Select Antigen Profiling by sequencing, ASAP-seq, a tool to simultaneously profile accessible chromatin and protein levels in thousands of single cells, pairing sparse scATAC data with robust detection of hundreds of cell surface and intracellular protein markers, and optionally, enriched mtDNA coverage for lineage tracing (mtscATAC-seq) with minimal impact on ATAC-seq data quality. ASAP-seq makes use of a novel bridging approach to utilize existing commercially available antibody:oligo conjugates developed for CITE-seq and related technologies. We demonstrate the utility of ASAP-seq in the context of hematopoietic differentiation, cell surface marker dynamics following peripheral blood mononuclear cell stimulation, and as a combinatorial decoder of multiplexed perturbations in primary T cells.
2020-09-08 | GSE156473 | GEO
Project description:Recent technological advances have enabled massively parallel single-cell Assay for Transposase Accessible Chromatin by sequencing (scATAC-seq) to simultaneously profile the epigenomic landscape in thousands of individual cells. scATAC-seq methods sample genomic DNA accessible to transposases, but have not previously been combined with measurement of protein levels. Here, we present ATAC with Select Antigen Profiling by sequencing, ASAP-seq, a tool to simultaneously profile accessible chromatin and protein levels in thousands of single cells, pairing sparse scATAC data with robust detection of hundreds of cell surface and intracellular protein markers, and optionally, enriched mtDNA coverage for lineage tracing (mtscATAC-seq) with minimal impact on ATAC-seq data quality. ASAP-seq makes use of a novel bridging approach to utilize existing commercially available antibody:oligo conjugates developed for CITE-seq and related technologies. We demonstrate the utility of ASAP-seq in the context of hematopoietic differentiation, cell surface marker dynamics following peripheral blood mononuclear cell stimulation, and as a combinatorial decoder of multiplexed perturbations in primary T cells.
2021-05-14 | GSE166191 | GEO
Project description:Recent technological advances have enabled massively parallel single-cell Assay for Transposase Accessible Chromatin by sequencing (scATAC-seq) to simultaneously profile the epigenomic landscape in thousands of individual cells. scATAC-seq methods sample genomic DNA accessible to transposases, but have not previously been combined with measurement of protein levels. Here, we present ATAC with Select Antigen Profiling by sequencing, ASAP-seq, a tool to simultaneously profile accessible chromatin and protein levels in thousands of single cells, pairing sparse scATAC data with robust detection of hundreds of cell surface and intracellular protein markers, and optionally, enriched mtDNA coverage for lineage tracing (mtscATAC-seq) with minimal impact on ATAC-seq data quality. ASAP-seq makes use of a novel bridging approach to utilize existing commercially available antibody:oligo conjugates developed for CITE-seq and related technologies. We demonstrate the utility of ASAP-seq in the context of hematopoietic differentiation, cell surface marker dynamics following peripheral blood mononuclear cell stimulation, and as a combinatorial decoder of multiplexed perturbations in primary T cells.
2020-09-08 | GSE156477 | GEO
Project description:Recent technological advances have enabled massively parallel single-cell Assay for Transposase Accessible Chromatin by sequencing (scATAC-seq) to simultaneously profile the epigenomic landscape in thousands of individual cells. scATAC-seq methods sample genomic DNA accessible to transposases, but have not previously been combined with measurement of protein levels. Here, we present ATAC with Select Antigen Profiling by sequencing, ASAP-seq, a tool to simultaneously profile accessible chromatin and protein levels in thousands of single cells, pairing sparse scATAC data with robust detection of hundreds of cell surface and intracellular protein markers, and optionally, enriched mtDNA coverage for lineage tracing (mtscATAC-seq) with minimal impact on ATAC-seq data quality. ASAP-seq makes use of a novel bridging approach to utilize existing commercially available antibody:oligo conjugates developed for CITE-seq and related technologies. We demonstrate the utility of ASAP-seq in the context of hematopoietic differentiation, cell surface marker dynamics following peripheral blood mononuclear cell stimulation, and as a combinatorial decoder of multiplexed perturbations in primary T cells.
2020-09-08 | GSE156476 | GEO
Project description:Recent technological advances have enabled massively parallel single-cell Assay for Transposase Accessible Chromatin by sequencing (scATAC-seq) to simultaneously profile the epigenomic landscape in thousands of individual cells. scATAC-seq methods sample genomic DNA accessible to transposases, but have not previously been combined with measurement of protein levels. Here, we present ATAC with Select Antigen Profiling by sequencing, ASAP-seq, a tool to simultaneously profile accessible chromatin and protein levels in thousands of single cells, pairing sparse scATAC data with robust detection of hundreds of cell surface and intracellular protein markers, and optionally, enriched mtDNA coverage for lineage tracing (mtscATAC-seq) with minimal impact on ATAC-seq data quality. ASAP-seq makes use of a novel bridging approach to utilize existing commercially available antibody:oligo conjugates developed for CITE-seq and related technologies. We demonstrate the utility of ASAP-seq in the context of hematopoietic differentiation, cell surface marker dynamics following peripheral blood mononuclear cell stimulation, and as a combinatorial decoder of multiplexed perturbations in primary T cells.
2020-09-08 | GSE156475 | GEO
Project description:Recent technological advances have enabled massively parallel single-cell Assay for Transposase Accessible Chromatin by sequencing (scATAC-seq) to simultaneously profile the epigenomic landscape in thousands of individual cells. scATAC-seq methods sample genomic DNA accessible to transposases, but have not previously been combined with measurement of protein levels. Here, we present ATAC with Select Antigen Profiling by sequencing, ASAP-seq, a tool to simultaneously profile accessible chromatin and protein levels in thousands of single cells, pairing sparse scATAC data with robust detection of hundreds of cell surface and intracellular protein markers, and optionally, enriched mtDNA coverage for lineage tracing (mtscATAC-seq) with minimal impact on ATAC-seq data quality. ASAP-seq makes use of a novel bridging approach to utilize existing commercially available antibody:oligo conjugates developed for CITE-seq and related technologies. We demonstrate the utility of ASAP-seq in the context of hematopoietic differentiation, cell surface marker dynamics following peripheral blood mononuclear cell stimulation, and as a combinatorial decoder of multiplexed perturbations in primary T cells.
2020-09-08 | GSE156474 | GEO
Project description:Recent technological advances have enabled massively parallel single-cell Assay for Transposase Accessible Chromatin by sequencing (scATAC-seq) to simultaneously profile the epigenomic landscape in thousands of individual cells. scATAC-seq methods sample genomic DNA accessible to transposases, but have not previously been combined with measurement of protein levels. Here, we present ATAC with Select Antigen Profiling by sequencing, ASAP-seq, a tool to simultaneously profile accessible chromatin and protein levels in thousands of single cells, pairing sparse scATAC data with robust detection of hundreds of cell surface and intracellular protein markers, and optionally, enriched mtDNA coverage for lineage tracing (mtscATAC-seq) with minimal impact on ATAC-seq data quality. ASAP-seq makes use of a novel bridging approach to utilize existing commercially available antibody:oligo conjugates developed for CITE-seq and related technologies. We demonstrate the utility of ASAP-seq in the context of hematopoietic differentiation, cell surface marker dynamics following peripheral blood mononuclear cell stimulation, and as a combinatorial decoder of multiplexed perturbations in primary T cells.
2021-05-14 | GSE166188 | GEO
Project description:Kethoxal-assisted ssDNA sequencing (KAS-seq) is gaining popularity as a robust and effective approach to study the dynamics of transcriptionally engaged RNA polymerases through profiling of genome-wide single-stranded DNA (ssDNA). Its latest variant, spKAS-seq, a strand-specific version of KAS-seq, has been developed to map genome-wide R-loop structures by detecting imbalances of ssDNA on two strands. However, user-friendly, open-source, and specific bioinformatic analyzer for KAS-seq data are still lacking. Here we present KAS-Analyzer as a flexible and integrated toolkit to facilitate the analysis and interpretation of KAS-seq data. KAS-Analyzer can perform standard analyses such as quality control, read alignment, and differential RNA polymerase activity analysis. In addition, KAS-Analyzer introduces many novel features, including, but not limited to: calculation of transcriptional indexes, identification of single-stranded transcribing enhancers, and high-resolution mapping of R-loops. We use benchmark datasets to demonstrate that KAS-Analyzer provides a powerful framework to study transient transcriptional regulatory programs. KAS-Analyzer is available at https://github.com/Ruitulyu/KAS-Analyzer.
2022-07-27 | GSE202044 | GEO
Project description:We present cisTopic, a probabilistic framework to simultaneously discover co-accessible enhancers and stable cell states from sparse single-cell epigenomics data (http://github.com/aertslab/cistopic). On a compendium of single-cell ATAC-seq datasets from differentiating hematopoietic cells, brain, and transcription-factor perturbation dynamics, we demonstrate that topic modelling can be exploited for a robust identification of cell types, enhancers, and relevant transcription factors. cisTopic provides insight into the mechanisms underlying regulatory heterogeneity within cell populations.
2019-02-18 | GSE114557 | GEO