Literature DB >> 34966635

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

Kavitha Govarthanan1, Piyush Kumar Gupta2, Bamadeb Patra1, Deepa Ramasamy1, Binita Zipporah E1, Vineeta Sharma1, Rajesh Yadav1, Pavitra Kumar3, Dayakshini Sathish4, Rama Shanker Verma1.   

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 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. © King Abdulaziz City for Science and Technology 2021.

Entities:  

Keywords:  Lineage; Mesenchymal stem cells; Methylation; Pathway; Prediction

Year:  2021        PMID: 34966635      PMCID: PMC8660944          DOI: 10.1007/s13205-021-03058-2

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.406


  48 in total

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2.  Method to isolate mesenchymal-like cells from Wharton's Jelly of umbilical cord.

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3.  Nkx2-5 mediates differential cardiac differentiation through interaction with Hoxa10.

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Journal:  Stem Cells Dev       Date:  2013-04-09       Impact factor: 3.272

Review 4.  Developmental and regenerative biology of multipotent cardiovascular progenitor cells.

Authors:  Anthony C Sturzu; Sean M Wu
Journal:  Circ Res       Date:  2011-02-04       Impact factor: 17.367

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Journal:  Cell       Date:  2006-11-22       Impact factor: 41.582

Review 6.  DNA methylation in early development.

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7.  Obtaining spontaneously beating cardiomyocyte-like cells from adipose-derived stromal vascular fractions cultured on enzyme-crosslinked gelatin hydrogels.

Authors:  Gang Yang; Zhenghua Xiao; Xiaomei Ren; Haiyan Long; Kunlong Ma; Hong Qian; Yingqiang Guo
Journal:  Sci Rep       Date:  2017-02-03       Impact factor: 4.379

Review 8.  Applications of mesenchymal stem cell technology in bovine species.

Authors:  Amanda Baracho Trindade Hill; Fabiana Fernandes Bressan; Bruce D Murphy; Joaquim Mansano Garcia
Journal:  Stem Cell Res Ther       Date:  2019-01-24       Impact factor: 6.832

9.  Heterogeneity of MSC: Origin, Molecular Identities, and Functionality.

Authors:  Xueqing Liu; Tao Rui; Sicai Zhang; Zhaoping Ding
Journal:  Stem Cells Int       Date:  2019-07-02       Impact factor: 5.443

Review 10.  Epigenetic Regulation of Bone Marrow Stem Cell Aging: Revealing Epigenetic Signatures associated with Hematopoietic and Mesenchymal Stem Cell Aging.

Authors:  Dimitrios Cakouros; Stan Gronthos
Journal:  Aging Dis       Date:  2019-02-01       Impact factor: 6.745

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