Evidence map›Paper›PMID 34142270›Full record

ArticleJournal of molecular histology2021

Knockdown of TRIM15 inhibits the activation of hepatic stellate cells.

Junpei Zhang, Yin Chen, Yi Tian, Shiyao Chen, Hailing Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular histology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

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

  1. [Advances of TRIM superfamily proteins in chronic liver disease and hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Pooled it
  2. Review
  3. Best Practices and Progress in Precision-Cut Liver Slice Cultures.International journal of molecular sciences · 2021
    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

5 authors at 1 institution in 1 country.

Junpei ZhangDepartment of Gastroenterology, Minhang Hospital of Fudan University, 170 Shensong Road, Shanghai, 201100, China.
Yin ChenDepartment of Gastroenterology, Minhang Hospital of Fudan University, 170 Shensong Road, Shanghai, 201100, China.
Yi TianDepartment of Gastroenterology, Minhang Hospital of Fudan University, 170 Shensong Road, Shanghai, 201100, China. yitian@fudan.edu.cn.
Shiyao ChenDepartment of Gastroenterology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai, 200032, China. syaochen@fudan.edu.cn.
Hailing LiuDepartment of Gastroenterology, Minhang Hospital of Fudan University, 170 Shensong Road, Shanghai, 201100, China. hailingliu@fudan.edu.cn.ORCID http://orcid.org/0000-0001-8788-0482
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis is a global public health problem, and the activation of hepatic stellate cells (HSCs) is the main driving force for liver fibrosis. However, the activation mechanism of HSCs is still not fully understood. In this study, we screened out 854 differentially expressed genes [Log

Indexed as

ActinsBlotting, WesternCell LineCell MovementCell ProliferationCollagen Type IDNA-Binding ProteinsGene Expression ProfilingGene Expression RegulationGene SilencingHepatic Stellate CellsHumansPlasmidsReal-Time Polymerase Chain ReactionTissue Array AnalysisTransfectionACTA2 protein, humanActinsCollagen Type IDNA-Binding Proteinstripartite motif-containing protein 15, humanHepatic stellate cellMicroarray analysisTRIM15

Identifiers

PMID34142270
OpenAlexW3171015876

What OpenQuestion holds

Textmetadata
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.