Evidence map›Paper›PMID 35277958›Full record

ArticleDatabase : the journal of biological databases and curation2022

FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research.

Yu-Zhe Sun, Yong-Fei Hu, Yan Zhang, Shu-Yi Wei, Bei-Lei Yang, Ying-Ping Xu, Zhi-Li Rong, Dong Wang, Bin Yang

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Fibrosis-the tale of H3K27 histone methyltransferases and demethylases.Frontiers in cell and developmental biology · 2023
    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

9 authors.

Yong-Fei HuDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.
Yan ZhangDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.
Shu-Yi WeiDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.
Bei-Lei YangDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.
Ying-Ping XuDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.
Zhi-Li RongDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.
Dong WangDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.ORCID 0000-0003-0988-7405
Bin YangDermatology Hospital, Southern Medical University, No. 2 Lujing Road, Yuexiu, Guangzhou 5100091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organ fibrosis represents a vital health threat that substantially contributes to yearly mortality rates. While a considerable amount of research has been conducted on fibrosis, these reports have only focused on specific organs as affected within distinct disorders. Accordingly, results from such studies have been unable to provide a comprehensive understanding of the pathological processes involved. Here, we describe the development of FibROAD, an open-access database that integrates evidence from fibrosis-associated disorders as obtained from both the literature and multi-omics data. This resource will greatly assist both researchers and clinicians in the comprehension and treatment of this condition. FibROAD currently involves an assembly of 232 strong evidence-based fibrosis-related genes (FRGs) as garnered from 909 PubMed publications and contains lists of multi-omics data from > 4000 samples including RNA-seq, single-cell RNA-seq, miRNA-seq, ChIP-seq, ATAC-seq MeDIP-seq and MBD-seq as obtained from 17 different organs in 5 species. Results from integrative analyses as obtained using FibROAD have demonstrated that FRGs can be indicators for a wide range of organ fibrosis and reveal potential pro-fibrotic candidate genes for fibrosis research. In conclusion, FibROAD serves as a convenient platform where researchers can acquire integrated evidence and a more comprehensive understanding of fibrosis-related disorders. Database URL  https://www.fibroad.org.

Indexed as

Chromatin Immunoprecipitation SequencingDatabases, FactualFibrosisHumansRNA-SeqSequence Analysis

Identifiers

PMID35277958
PMCPMC9216539

What OpenQuestion holds

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Registered trials

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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.