Evidence map›Paper›PMID 35997993›Full record

ArticleBiomolecules & biomedicine2023

Integrated transcriptomic and proteomic analysis reveals potential targets for heart regeneration.

Liu Liu, Tongtong Yang, Qiqi Jiang, Jiateng Sun, Lingfeng Gu, Sibo Wang, Yafei Li, Bingrui Chen, Di Zhao, Rui Sun and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Biomolecules & biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

13 authors at 1 institution in 1 country.

Liu LiuDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Tongtong YangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiqi JiangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiateng SunDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lingfeng GuDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Sibo WangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yafei LiDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Bingrui ChenDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Di ZhaoDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Rui SunDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiming WangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hao WangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Liansheng WangDepartment of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the regenerative capacity of the neonatal heart could open new avenues for the treatment of myocardial infarction (MI). However, the mechanism of cardiac regeneration remains unclear. In the present study, we constructed a mouse model of heart regeneration and then performed transcriptomic and proteomic analyses on them. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and Gene Set Enrichment Analysis (GSEA) of differentially expressed genes (DEGs) were conducted. Western blot (WB) and qPCR analyses were used to validate the hub genes expression. As a result, gene expression at the mRNA level and protein level is not the same. We identified 3186 DEGs and 42 differentially expressed proteins (DEPs). Through functional analysis of DEGs and DEPs, we speculate that biological processes such as ubiquitination, cell cycle, and oxygen metabolism are involved in heart regeneration. Integrated transcriptomic and proteomic analysis identified 19 hub genes and Ankrd1, Gpx3, and Trim72 were screened out as potential regulators of cardiac regeneration through further expression verification. In conclusion, we combined transcriptomic and proteomic analyses to characterize the molecular features during heart regeneration in neonatal mice. Finally, Ankrd1, Gpx3, and Trim72 were identified as potential targets for heart regeneration therapy.

Indexed as

ProteomicsTranscriptomeAnimalsGene Expression ProfilingHeartMiceRegeneration

Identifiers

PMID35997993
PMCPMC9901893
OpenAlexW4293201948

What Socratic 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 Socratic graph.