Evidence map›Paper›PMID 26487345›Full record

ArticleScientific reports2015

Transcription factor and miRNA co-regulatory network reveals shared and specific regulators in the development of B cell and T cell.

Ying Lin, Qiong Zhang, Hong-Mei Zhang, Wei Liu, Chun-Jie Liu, Qiubai Li, An-Yuan Guo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Association Between theFrontiers in genetics · 2020
    Pooled it
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  5. Review
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  10. BC-TFdb: a database of transcription factor drivers in breast cancer.Database : the journal of biological databases and curation · 2021
    Article
  11. Article
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  13. Time serial transcriptome revealsCancer biology & medicine · 2020
    Article
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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

7 authors at 1 institution in 1 country.

Ying LinHubei Bioinformatics &Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan, 430074, China.
Qiong ZhangHubei Bioinformatics &Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan, 430074, China.
Hong-Mei ZhangHubei Bioinformatics &Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan, 430074, China.
Wei LiuHubei Bioinformatics &Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan, 430074, China.
Chun-Jie LiuHubei Bioinformatics &Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan, 430074, China.
Qiubai LiInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
An-Yuan GuoHubei Bioinformatics &Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan, 430074, China.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The maturation process of lymphocyte was related to many blood diseases, such as lymphoma and lymphoid leukemia. Many TFs and miRNAs were separately studied in the development of B and T cells. In this study, we aim to discover the TF and miRNA co-regulation and identify key regulators in the B and T cells maturation. We obtained the candidate genes, miRNAs and TFs for each stage of their maturation, then constructed the TF-miRNA-gene feed-forward loops (FFLs) for each stage by our previous methods. Statistical test for FFLs indicated their enrichment and significance. TF-miRNA co-regulatory networks for each stage were constructed by combining their FFLs. Hub analysis revealed the key regulators in each stage, for example, MYC, STAT5A, PAX5 and miR-17 ~ 92 in the transition of pro-B cells into pre-B cells. We also identified a few common regulators and modules in two stages of B cell maturation (e.g. miR-146a/NFKB1/BCL11A) and two stages of T cell maturation (e.g. miR-20/CCND2/SORL1), as well as some shared regulators in the early stages of both B and T cell development. Our network will help to increase understanding of mature process of B and T cell, as well as the related blood diseases.

Indexed as

B-LymphocytesGene Regulatory NetworksHumansMicroRNAsSignal TransductionT-LymphocytesTranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID26487345
PMCPMC4613730
OpenAlexW2176717166

What OpenQuestion holds

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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.