VCF files - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001004530 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:In order to identify the target mRNAs of the m5C reader protein Ybx1, we carried out anti-Ybx1 RNA Immunoprecipitation(RIP) followed by RNA-sequencing to find out mRNAs that can directly bind by Ybx1. Using EZ-Magna RIPTM RNA-Binding Protein Immunoprecipitation Kit (Millipore), RNA from E13.5 wildtype mouse DRGs was pulled down by rabbit monoclonal anti-Ybx1 (abcam) and sequenced on IIIumina HiSeq3000 platform. The filtered reads were mapped to the mouse reference genome (GRCm39) using BWA mem (v 0.7.12). After peak calling using MACS2 (version 2.1.0) software, the distribution of chromosome distribution, peak width, fold enrichment, significant level and peak summit number per peak were all displayed. Fold enrichment greater than 2 was considered to be enriched. Finally, 2 biological repilicates of anti-Ybx1 RIP-seq identified 2487 transcripts. This study provides a gene list which shows mRNA binding with Ybx1 in mouse DRGs.
2024-11-15 | GSE254854 | GEO
Project description:Single-cell sequencing methodologies such as scRNA-seq and scATAC-seq have become widespread and effective tools to interrogate tissue composition. Increasingly, variant callers are being applied to these methodologies to resolve the genetic heterogeneity of a sample, especially in the case of detecting the clonal architecture of a tumor. Typically, traditional bulk DNA variant callers are applied to the pooled reads of a single-cell library to detect candidate mutations. Recently, multiple studies have applied such callers on reads from individual cells, with some citing the ability to detect rare variants with higher sensitivity. Many studies apply these two approaches to the Chromium (10x Genomics) scRNA-seq and scATAC-seq methodologies. However, Chromium-based libraries may offer additional challenges to variant calling compared to existing single-cell methodologies, raising questions for the validity of variants obtained from such a workflow. To determine the merits and challenges of various variant-calling approaches on Chromium scRNA-seq and scATAC-seq libraries, we use sample libraries with matched bulk whole-genome-sequencing to evaluate the performance of callers. We review caller performance, finding that bulk callers applied on pooled reads significantly outperform individual-cell approaches. We also evaluate variants unique to scRNA-seq and scATAC-seq methodologies, finding patterns of noise but also potential capture of RNA-editing events. Finally, we review the notion that variant calling at the single-cell level can detect rare somatic variants, providing empirical results that suggest resolving such variants is infeasible in single-cell Chromium libraries.
2024-08-05 | GSE213503 | GEO
Project description:Single-cell sequencing methodologies such as scRNA-seq and scATAC-seq have become widespread and effective tools to interrogate tissue composition. Increasingly, variant callers are being applied to these methodologies to resolve the genetic heterogeneity of a sample, especially in the case of detecting the clonal architecture of a tumor. Typically, traditional bulk DNA variant callers are applied to the pooled reads of a single-cell library to detect candidate mutations. Recently, multiple studies have applied such callers on reads from individual cells, with some citing the ability to detect rare variants with higher sensitivity. Many studies apply these two approaches to the Chromium (10x Genomics) scRNA-seq and scATAC-seq methodologies. However, Chromium-based libraries may offer additional challenges to variant calling compared to existing single-cell methodologies, raising questions for the validity of variants obtained from such a workflow. To determine the merits and challenges of various variant-calling approaches on Chromium scRNA-seq and scATAC-seq libraries, we use sample libraries with matched bulk whole-genome-sequencing to evaluate the performance of callers. We review caller performance, finding that bulk callers applied on pooled reads significantly outperform individual-cell approaches. We also evaluate variants unique to scRNA-seq and scATAC-seq methodologies, finding patterns of noise but also potential capture of RNA-editing events. Finally, we review the notion that variant calling at the single-cell level can detect rare somatic variants, providing empirical results that suggest resolving such variants is infeasible in single-cell Chromium libraries.
2024-08-05 | GSE213338 | GEO