Evidence map›Paper›PMID 34966635›Full record

Article3 Biotech2022

Genome-wide methylome pattern predictive network analysis reveal mesenchymal stem cell's propensity to undergo cardiovascular lineage.

Kavitha Govarthanan, Piyush Kumar Gupta, Bamadeb Patra, Deepa Ramasamy, Binita Zipporah E, Vineeta Sharma, Rajesh Yadav, Pavitra Kumar, Dayakshini Sathish, Rama Shanker Verma

Open access · greenAbstract read
In one paragraph

Article in 3 Biotech, 2022. 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
0.2field-weighted citation impact, top 50% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  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

10 authors at 4 institutions in 3 countries.

Kavitha GovarthananStem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
Piyush Kumar GuptaDepartment of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida, 201310 India.
Bamadeb PatraStem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
Deepa RamasamyStem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
Binita Zipporah EStem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
Vineeta SharmaStem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
Rajesh YadavStem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
Pavitra KumarDepartment of Biomedical Research, University of Bern, 3008 Bern, Switzerland.
Dayakshini SathishDepartment of Electronics and Communication Engineering, St. Joseph Engineering College, Mangaluru, 575028 India.
Rama Shanker VermaStem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.ORCID 0000-0001-7287-7803
Indian Institute of Technology Madras · INSaint Joseph's College · USSharda University · INUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stem cells (MSCs) differentiation toward cardiovascular lineage prediction using the global methylome profile will highlight its prospective utility in regenerative medicine. We examined the propensity prediction to cardiovascular lineage using 5-Aza, a well-known cardiac lineage inducer. The customized 180 K microarray was performed and further analysis of global differentially methylated regions by Ingenuity pathway analysis (IPA) in both MSCs and 5-AC-treated MSCs. The cluster enrichment tools sorted differentially enriched genes and further annotated to construct the interactive networks. Prediction analysis revealed pathways pertaining to the cardiovascular lineage found active in the native MSCs, suggesting its higher propensity to undergo cardiac, smooth muscle cell, and endothelial lineages in vitro. Interestingly, gene interaction network also proposed majorly stemness gene network SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03058-2.

Indexed as

LineageMesenchymal stem cellsMethylationPathwayPrediction

Identifiers

PMID34966635
PMCPMC8660944
OpenAlexW4200173159

What Socratic 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 Socratic graph.