Evidence map›Paper›PMID 31598675›Full record

ArticleNucleic acids research2020

KnockTF: a comprehensive human gene expression profile database with knockdown/knockout of transcription factors.

Chenchen Feng, Chao Song, Yuejuan Liu, Fengcui Qian, Yu Gao, Ziyu Ning, Qiuyu Wang, Yong Jiang, Yanyu Li, Meng Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

97 citing papers in PubMed, 146 citations in OpenAlex.

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  6. Probing transcription factor subsets in gene regulatory networks.Algorithms for molecular biology : AMB · 2026
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  18. Reduction in the hepatocellular carcinoma antioncogeneWorld journal of gastrointestinal surgery · 2025
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  19. Article
  20. NFATC3 enhances osteosarcoma progression by increasing PD-L1 and CXCL2 levels.Medical oncology (Northwood, London, England) · 2025
    Article

37 more citing papers are in PubMed but not listed here.

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

13 authors at 1 institution in 1 country.

Chenchen FengSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Chao SongDepartment of Pharmacology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Yuejuan LiuSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Fengcui QianSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Yu GaoSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Ziyu NingSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Qiuyu WangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Yong JiangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Yanyu LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Meng LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Jiaxin ChenSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Jian ZhangSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Chunquan LiSchool of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors (TFs) and their target genes have important functions in human diseases and biological processes. Gene expression profile analysis before and after knockdown or knockout is one of the most important strategies for obtaining target genes of TFs and exploring TF functions. Human gene expression profile datasets with TF knockdown and knockout are accumulating rapidly. Based on the urgent need to comprehensively and effectively collect and process these data, we developed KnockTF (http://www.licpathway.net/KnockTF/index.html), a comprehensive human gene expression profile database of TF knockdown and knockout. KnockTF provides a number of resources for human gene expression profile datasets associated with TF knockdown and knockout and annotates TFs and their target genes in a tissue/cell type-specific manner. The current version of KnockTF has 570 manually curated RNA-seq and microarray datasets associated with 308 TFs disrupted by different knockdown and knockout techniques and across multiple tissue/cell types. KnockTF collects upstream pathway information of TFs and functional annotation results of downstream target genes. It provides details about TFs binding to promoters, super-enhancers and typical enhancers of target genes. KnockTF constructs a TF-differentially expressed gene network and performs network analyses for genes of interest. KnockTF will help elucidate TF-related functions and potential biological effects.

Indexed as

Databases, GeneticGene Knockdown TechniquesSoftwareComputational BiologyGene Expression ProfilingHumansMolecular Sequence AnnotationTranscription FactorsUser-Computer InterfaceWeb BrowserTranscription Factors

Identifiers

PMID31598675
PMCPMC6943067
OpenAlexW2979799397

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.