Evidence map›Paper›PMID 32318100›Full record

ReviewFrontiers in genetics2020

ZNF143 in Chromatin Looping and Gene Regulation.

Bingyu Ye, Ganggang Yang, Yuanmeng Li, Chunyan Zhang, Qiwen Wang, Guoying Yu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  3. High-throughputbioRxiv : the preprint server for biology · 2025
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  6. ANKK1 Is a Wnt/PCP Scaffold Protein for Neural F-ACTIN Assembly.International journal of molecular sciences · 2024
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  14. Overexpression ofAmerican journal of undergraduate research · 2023
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  18. Review
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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

6 authors at 1 institution in 1 country.

Bingyu YeState Key Laboratory of Cell Differentiation and Regulation, Henan Normal University, Xinxiang, China.
Ganggang YangState Key Laboratory of Cell Differentiation and Regulation, Henan Normal University, Xinxiang, China.
Yuanmeng LiCollege of Life Sciences, Henan Normal University, Xinxiang, China.
Chunyan ZhangState Key Laboratory of Cell Differentiation and Regulation, Henan Normal University, Xinxiang, China.
Qiwen WangState Key Laboratory of Cell Differentiation and Regulation, Henan Normal University, Xinxiang, China.
Guoying YuState Key Laboratory of Cell Differentiation and Regulation, Henan Normal University, Xinxiang, China.
Henan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ZNF143, a human homolog of the transcriptional activator Staf, is a C2H2-type protein consisting of seven zinc finger domains. As a transcription factor (TF), ZNF143 is sequence specifically binding to chromatin and activates the expression of protein-coding and non-coding genes on a genome scale. Although it is ubiquitous expressed, its expression in cancer cells and tissues is usually higher than that in normal cells and tissues. Therefore, abnormal expression of ZNF143 is related to cancer cell survival, proliferation, differentiation, migration, and invasion, suggesting that new small molecules can be designed by targeting ZNF143 as it may be a good potential biomarker and therapeutic target for related cancers. However, the mechanism on how ZNF143 regulates its targeting gene remains unclear. Recently, with the development of chromatin conformation capture (3C) and its derivatives, and high

Indexed as

biomarkerchromatin organizationlooptranscription factorZNF143

Identifiers

PMID32318100
PMCPMC7154149
OpenAlexW3015218111

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.