Sign in
BioinformaticsDatabase
Peer-reviewed journal article

scEccDNAdb: an integrated single-cell eccDNA resource for human and mouse

Wenqing WangiD, Xinyu ZhaoiD, Tianyu MaiD, Tengwei ZhongiD, Junnuo ZhengiD, Yi Yang, Yuanbiao Guo, Zhiyun GuoiD

Abstract

Extrachromosomal circular DNA (eccDNA), an extrachromosomal circular structured DNA, is extensively found in eukaryotes. Exploring eccDNA at the single-cell level contributes to understanding heterogeneity, evolution, development, and specific functions within cells. Nevertheless, the high-throughput identification methods for single-cell eccDNA are complex, and currently mature and widely applicable technologies are lacking. Those factors have led to a scarcity of resources for studying eccDNA at the single-cell level. Therefore, using available single-cell whole-genome sequencing (WGS) data, we have constructed a comprehensive eccDNA database named scEccDNAdb (https://lcbb.swjtu.edu.cn/scEccDNAdb/). Presently, scEccDNAdb comprises 3,195,464 single-cell eccDNA entries from both disease/health human and mouse samples, which provides comprehensive annotations including oncogenes, typical enhancers, super-enhancers, CTCF binding sites, SNPs, chromatin accessibility, eQTLs, transcription factor binding sites, motifs, and SVs. Additionally, it provides nine online analysis and visualization tools, facilitating the generation of publication-quality figures for eccDNA analysis through the upload of customized files. Overall, scEccDNAdb represents the first comprehensive database known to us for exploring and analyzing single-cell eccDNA data in diverse cell types, tissues, and species. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/604058v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@bd23f8org.highwire.dtl.DTLVardef@1847c7eorg.highwire.dtl.DTLVardef@109717forg.highwire.dtl.DTLVardef@fa56b7_HPS_FORMAT_FIGEXP M_FIG C_FIG

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISZhong '23Yang '23Mann '22Evans '24Kumar '20Shoura '17
77% semantic matchBioinformatics
Tengwei Zhong, Wenqing Wang, Houyan Liu+3 more·Briefings in Bioinformatics·Jan 19, 2023· 35 citations