Evidence map›Paper›PMID 38360815›Full record

ArticleScientific data2024

A comprehensive database of exosome molecular biomarkers and disease-gene associations.

Yue Qi, Rongji Xu, Chengxin Song, Ming Hao, Yue Gao, Mengyu Xin, Qian Liu, Hongyan Chen, Xiaoting Wu, Rui Sun and 8 more

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
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

18 authors.

Yue Qi *Department of Gynecology of the First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China.
Rongji Xu *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Chengxin Song *Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Ming Hao *Department of Gynecology of the First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China.
Yue GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Mengyu XinCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Qian LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Hongyan ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Xiaoting WuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Rui SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yuanfu ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Danni HeCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yifan DaiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Congcong KongDepartment of Gynecology of the First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Qiuyan GuoDepartment of Gynecology of the First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China. guoqiuyan321@126.com.
Guangmei ZhangDepartment of Gynecology of the First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China. guangmeizhang@126.com.
Peng WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. wpgqy@163.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32070672National Natural Science Foundation of China (National Science Foundation of China) 32100528National Natural Science Foundation of China (National Science Foundation of China) 81900742National Natural Science Foundation of China (National Science Foundation of China) 81902646
6 · The paper itself

Abstract

Exosomes play a crucial role in intercellular communication and can be used as biomarkers for diagnostic and therapeutic clinical applications. However, systematic studies in cancer-associated exosomal nucleic acids remain a big challenge. Here, we developed ExMdb, a comprehensive database of exosomal nucleic acid biomarkers and disease-gene associations curated from published literature and high-throughput datasets. We performed a comprehensive curation of exosome properties including 4,586 experimentally supported gene-disease associations, 13,768 diagnostic and therapeutic biomarkers, and 312,049 nucleic acid subcellular locations. To characterize expression variation of exosomal molecules and identify causal factors of complex diseases, we have also collected 164 high-throughput datasets, including bulk and single-cell RNA sequencing (scRNA-seq) data. Based on these datasets, we performed various bioinformatics and statistical analyses to support our conclusions and advance our knowledge of exosome biology. Collectively, our dataset will serve as an essential resource for investigating the regulatory mechanisms of complex diseases and improving the development of diagnostic and therapeutic biomarkers.

Indexed as

Datasets as TopicExosomesNeoplasmsNucleic AcidsBiomarkersBiomarkers, TumorComputational BiologyDatabases, GeneticHumansBiomarkersBiomarkers, TumorNucleic Acids

Identifiers

PMID38360815
PMCPMC10869824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.