Evidence map›Paper›PMID 37956336›Full record

ArticleNucleic acids research2024

KnockTF 2.0: a comprehensive gene expression profile database with knockdown/knockout of transcription (co-)factors in multiple species.

Chenchen Feng, Chao Song, Shuang Song, Guorui Zhang, Mingxue Yin, Yuexin Zhang, Fengcui Qian, Qiuyu Wang, Maozu Guo, Chunquan Li

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 38 citations in OpenAlex.

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  9. Differential analysis of image-based chromatin tracing data with Dory.bioRxiv : the preprint server for biology · 2026
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  15. Potential ofFrontiers in immunology · 2026
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  18. TSProm: Deciphering the Genomic Context of Tissue Specificity.bioRxiv : the preprint server for biology · 2025
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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

10 authors at 3 institutions in 1 country.

Chenchen FengNational Health Commission Key Laboratory of Birth Defect Research and Prevention & School of Computer, University of South China, Hengyang, Hunan, 421001, China.
Chao SongThe First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
Shuang SongThe First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
Guorui ZhangThe First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
Mingxue YinThe First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.ORCID 0009-0001-7724-1019
Yuexin ZhangThe First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
Fengcui QianThe First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
Qiuyu WangNational Health Commission Key Laboratory of Birth Defect Research and Prevention & School of Computer, University of South China, Hengyang, Hunan, 421001, China.
Maozu GuoSchool of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China.
Chunquan LiNational Health Commission Key Laboratory of Birth Defect Research and Prevention & School of Computer, University of South China, Hengyang, Hunan, 421001, China.ORCID 0000-0002-4700-5496
University of South China · CNBeijing University of Civil Engineering and Architecture · CNHarbin Medical University · CN

Funding

China Postdoctoral Science Foundation 2019M661311Clinical Research 4310 Program of the University of South China 20224310NHYCG05Hospital of University of South China 20210002-1005 USCAT-2021-01National Natural Science Foundation of China 62171166Natural Science Foundation of Heilongjiang Province LH2021F044Natural Science Foundation of Hunan Province 2023JJ40594Scientific Research Fund Project of Hunan Provincial Health Commission 20201920
6 · The paper itself

Abstract

Transcription factors (TFs), transcription co-factors (TcoFs) and their target genes perform essential functions in diseases and biological processes. KnockTF 2.0 (http://www.licpathway.net/KnockTF/index.html) aims to provide comprehensive gene expression profile datasets before/after T(co)F knockdown/knockout across multiple tissue/cell types of different species. Compared with KnockTF 1.0, KnockTF 2.0 has the following improvements: (i) Newly added T(co)F knockdown/knockout datasets in mice, Arabidopsis thaliana and Zea mays and also an expanded scale of datasets in humans. Currently, KnockTF 2.0 stores 1468 manually curated RNA-seq and microarray datasets associated with 612 TFs and 172 TcoFs disrupted by different knockdown/knockout techniques, which are 2.5 times larger than those of KnockTF 1.0. (ii) Newly added (epi)genetic annotations for T(co)F target genes in humans and mice, such as super-enhancers, common SNPs, methylation sites and chromatin interactions. (iii) Newly embedded and updated search and analysis tools, including T(co)F Enrichment (GSEA), Pathway Downstream Analysis and Search by Target Gene (BLAST). KnockTF 2.0 is a comprehensive update of KnockTF 1.0, which provides more T(co)F knockdown/knockout datasets and (epi)genetic annotations across multiple species than KnockTF 1.0. KnockTF 2.0 facilitates not only the identification of functional T(co)Fs and target genes but also the investigation of their roles in the physiological and pathological processes.

Indexed as

Databases, GeneticTranscription FactorsTranscriptomeAnimalsArabidopsisGene TargetingHumansInternetMiceZea maysTranscription Factors

Identifiers

PMID37956336
PMCPMC10767813
OpenAlexW4388622107

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.