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Genome-wide methylome pattern predictive network analysis reveal mesenchymal stem cell's propensity to undergo cardiovascular lineage.
Govarthanan, Kavitha; Gupta, Piyush Kumar; Patra, Bamadeb; Ramasamy, Deepa; E, Binita Zipporah; Sharma, Vineeta; Yadav, Rajesh; Kumar, Pavitra; Sathish, Dayakshini; Verma, Rama Shanker.
Afiliación
  • Govarthanan K; Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
  • Gupta PK; Department of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida, 201310 India.
  • Patra B; Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
  • Ramasamy D; Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
  • E BZ; Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
  • Sharma V; Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
  • Yadav R; Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
  • Kumar P; Department of Biomedical Research, University of Bern, 3008 Bern, Switzerland.
  • Sathish D; Department of Electronics and Communication Engineering, St. Joseph Engineering College, Mangaluru, 575028 India.
  • Verma RS; Stem Cell and Molecular Biology Laboratory, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamilnadu India.
3 Biotech ; 12(1): 12, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34966635
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 NANOG and KLF6, cardiac-specific transcription factors GATA4, NKX2.5, and TBX5 were upregulated in the native MSCs. Furthermore, the expression of cardiovascular lineage specific markers such as Brachury, CD105, CD90, CD31, KDR and various forms of ACTIN (cardiac, sarcomeric, smooth muscle) were validated in native MSCs using real time PCR and immunostaining and blotting analysis. In 5-AC-treated MSCs, mosaic interactive networks were observed to persuade towards osteogenesis and cardiac lineage, indicating that 5-AC treatment resulted in nonspecific lineage induction in MSCs, while MSCs by default have a higher propensity to undergo cardiovascular lineage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03058-2.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: 3 Biotech Año: 2022 Tipo del documento: Article Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: 3 Biotech Año: 2022 Tipo del documento: Article Pais de publicación: Alemania