Evidence map›Paper›PMID 36243962›Full record

ArticleNucleic acids research2023

RABC: Rheumatoid Arthritis Bioinformatics Center.

Haiyan Chen, Jing Xu, Siyu Wei, Zhe Jia, Chen Sun, Jingxuan Kang, Xuying Guo, Nan Zhang, Junxian Tao, Yu Dong and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Article
  7. 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

21 authors.

Haiyan ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Siyu WeiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zhe JiaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chen SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jingxuan KangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xuying GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Nan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Junxian TaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yu DongCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chen ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yingnan MaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Wenhua LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongsheng TianCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Shuo BiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongchao LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Chen HuangDr. Neher's Biophysics Laboratory for Innovative Drug Discovery, Macau University of Science and Technology, Macau, SAR, China.
Fanwu KongDepartment of Nephrology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.
Guoping TangThe Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China.
Yongshuai JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.ORCID 0000-0002-7163-6554
Mingming ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in sequencing technologies have led to the rapid growth of multi-omics data on rheumatoid arthritis (RA). However, a comprehensive database that systematically collects and classifies the scattered data is still lacking. Here, we developed the Rheumatoid Arthritis Bioinformatics Center (RABC, http://www.onethird-lab.com/RABC/), the first multi-omics data resource platform (data hub) for RA. There are four categories of data in RABC: (i) 175 multi-omics sample sets covering transcriptome, epigenome, genome, and proteome; (ii) 175 209 differentially expressed genes (DEGs), 105 differentially expressed microRNAs (DEMs), 18 464 differentially DNA methylated (DNAm) genes, 1 764 KEGG pathways, 30 488 GO terms, 74 334 SNPs, 242 779 eQTLs, 105 m6A-SNPs and 18 491 669 meta-mQTLs; (iii) prior knowledge on seven types of RA molecular markers from nine public and credible databases; (iv) 127 073 literature information from PubMed (from 1972 to March 2022). RABC provides a user-friendly interface for browsing, searching and downloading these data. In addition, a visualization module also supports users to generate graphs of analysis results by inputting personalized parameters. We believe that RABC will become a valuable resource and make a significant contribution to the study of RA.

Indexed as

Arthritis, RheumatoidDatabases, FactualBiomarkersComputational BiologyDNA MethylationGene Expression ProfilingHumansTranscriptomeBiomarkers

Identifiers

PMID36243962
PMCPMC9825551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.