ArticleComputational and structural biotechnology journal2023
EccBase: A high-quality database for exploration and characterization of extrachromosomal circular DNAs in cancer.
Article in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Characterization, biogenesis model, and current bioinformatics of human extrachromosomal circular DNA.Frontiers in genetics · 2024Pooled it
- The potential clinical implications of extrachromosomal circular DNA as a biomarker.Genes & diseases · 2026Review
- CircleBase V2: an eccDNA annotation platform across cancers and species.Nucleic acids research · 2026Article
- Extrachromosomal Circular DNA in Cancer: Mechanisms and Clinical Applications.Cell proliferation · 2025Review
- Exploring the potential of extrachromosomal DNA as a novel oncogenic driver.Science China. Life sciences · 2025Review
- scEccDNAdb: an integrated single-cell eccDNA resource for human and mouse.Database : the journal of biological databases and curation · 2024Article
- ECGA: A web server to explore and analyze extrachromosomal gene in cancer.Computational and structural biotechnology journal · 2024Article
- Comparative analysis of methodologies for detecting extrachromosomal circular DNA.Nature communications · 2024Article
- Review
- Review
- Long extrachromosomal circular DNA identification by fusing sequence-derived features of physicochemical properties and nucleotide distribution patterns.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extrachromosomal circular DNAs (eccDNAs) are widely observed in eukaryotes. Previous studies have demonstrated that eccDNAs are essential to cancer progression, and found that they can not only express in normal cells to regulate RNA, but also function differently in different tissues. It is of major interest to conduct computational or experiments assay to elucidate the mechanisms of eccDNA function, uncover key eccDNAs associated with diseases, and even develop related algorithms for liquid biopsy. Naturally, a comprehensive eccDNAs data resource is urgently needed to provide annotation and analysis more in-depth research. In this study, we constructed the eccBase (http://www.eccbase.net) in literature curation and database retrieval, which was the first database mainly collecting eccDNAs from Homo sapiens (n = 754,391) and Mus musculus (n = 481,381). Homo sapiens eccDNAs were taken from 50 kinds of cancer tissue and/or cell line, and 5 kinds of healthy tissues. The Mus musculus eccDNAs were sourced from 13 kinds of healthy tissue and/or cell line. We thoroughly annotated all eccDNA molecules in terms of basic information, genomic composition, regulatory elements, epigenetic modifications, and raw data. EccBase provided users with the ability to browse, search, download for targets of interest, as well as similarity alignment by the integrated BLAST. Further, comparative analysis suggested the cancer eccDNA is composed of nucleosomes and is prominently derived from the gene-dense regions. We also initially revealed that eccDNAs are strongly tissue-specific. In short, we have started a robust database for eccDNA resource utilization, which may facilitate studying the role of eccDNA in cancer development and therapy, cell function maintenance, and tissue differentiation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.