Evidence map›Paper›PMID 35356426›Full record

ArticleFrontiers in genetics2022

Bioinformatics Analysis Reveals Cell Cycle-Related Gene Upregulation in Ascending Aortic Tissues From Murine Models.

Xiaoping Zhang, Zuozhen Yang, Xiaoyan Li, Xuxia Liu, Xipeng Wang, Tao Qiu, Yueli Wang, Tongxun Li, Qingle Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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, 4 citations in OpenAlex.

  1. S100A4 Is a Key Facilitator of Thoracic Aortic Dissection.International journal of biological sciences · 2024
    Article
  2. Article
  3. 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

9 authors at 7 institutions in 1 country.

Xiaoping ZhangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zuozhen YangMOE Laboratory of Biosystem Homeostasis and Protection, College of Life Sciences, Zhejiang University, Hangzhou, China.
Xiaoyan LiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xuxia LiuBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xipeng WangDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.
Tao QiuThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yueli WangBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Tongxun LiBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Qingle LiDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.
Beijing Anzhen Hospital · CNBeijing Institute of Water · CNCapital Medical University · CNGuangzhou Medical University · CNPeking University · CNPeking University People's Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic aortic aneurysm and dissection (TAAD) is a high-risk aortic disease. Mouse models are usually used to explore the pathological progression of TAAD. In our studies, we performed bioinformatics analysis on a microarray dataset (GSE36778) and verified experiments to define the integrated hub genes of TAAD in three different mouse models. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein-protein interaction (PPI) network analyses, and histological and quantitative reverse transcription-PCR (qRT-PCR) experiments were used in our study. First, differentially expressed genes (DEGs) were identified, and twelve common differentially expressed genes were found. Second, genes related to the cell cycle and inflammation were enriched by using GO and PPI. We focused on filtering and validating eighteen hub genes that were upregulated. Then, expression data from human ascending aortic tissues in the GSE153434 dataset were also used to verify our findings. These results indicated that cell cycle-related genes participate in the pathological mechanism of TAAD and provide new insight into the molecular mechanisms of TAAD.

Indexed as

ascending aortic tissuesbioinformatics analysiscell cycleinflammationThoracic aortic aneurysm and dissection

Identifiers

PMID35356426
PMCPMC8959095
OpenAlexW4220688309

What OpenQuestion holds

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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.