Evidence map›Paper›PMID 37114214›Full record

ArticleComputational and structural biotechnology journal2023

EccBase: A high-quality database for exploration and characterization of extrachromosomal circular DNAs in cancer.

Haiyang Sun, Xinyi Lu, Lingyun Zou

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. scEccDNAdb: an integrated single-cell eccDNA resource for human and mouse.Database : the journal of biological databases and curation · 2024
    Article
  7. ECGA: A web server to explore and analyze extrachromosomal gene in cancer.Computational and structural biotechnology journal · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Haiyang SunState Key Laboratory of Medicinal Chemical Biology, Nankai University, 300350 Tianjin, China.
Xinyi LuState Key Laboratory of Medicinal Chemical Biology, Nankai University, 300350 Tianjin, China.
Lingyun ZouDepartment of Clinical Data Research, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing University Central Hospital, Chongqing University, 400014 Chongqing, China.
Nankai University · CNShenzhen Bao'an District People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CancerDatabaseExtrachromosomal circular DNAMachine learningSequence alignmentTissue specificity

Identifiers

PMID37114214
PMCPMC10126927
OpenAlexW4365512478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.