NDLI: Prediction of putative small molecules for manipulation of enriched signalling pathways in hESC-derived early cardiovascular progenitors by bioinformatics analysis

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Prediction of putative small molecules for manipulation of enriched signalling pathways in hESC-derived early cardiovascular progenitors by bioinformatics analysis

Rehabilitation of the Parkinson's tremor by using robust adaptive sliding mode controller: a simulation study

Robust observer based control for plasma glucose regulation in type 1 diabetes patient using attractive ellipsoid method

Volume 13 (2019) : Issue 1, Feb

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Prediction of putative small molecules for manipulation of enriched signalling pathways in hESC-derived early cardiovascular progenitors by bioinformatics analysis

Content Provider	IET Digital Library
Author	Vahdat, Sadaf Bakhshandeh, Behnaz
Abstract	Human pluripotent stem cell-derived cardiovascular progenitor cells (CPCs) are considered as powerful tools for cardiac regenerative medicine and developmental study. Mesoderm posterior1+ (MESP1+) cells are identified as the earliest CPCs from which almost all cardiac cell types are generated. Molecular insights to the transcriptional regulatory factors of early CPCs are required to control cell fate decisions. Herein, the microarray data set of human embryonic stem cells (hESCs)-derived MESP1+ cells was analysed and differentially expressed genes (DEGs) were identified in comparison to undifferentiated hESCs and MESP1-negative cells. Then, gene ontology and pathway enrichment analysis of DEGs were carried out with the subsequent prediction of putative regulatory small molecules for modulation of CPC fate. Some key signalling cascades of cardiogenesis including Hippo, Wnt, transforming growth factor-β, and PI3K/Akt were highlighted in MESP1+ cells. The transcriptional regulatory network of MESP1+ cells were visualised through interaction networks of DEGs. Additionally, 35 promising chemicals were predicted based on correlations with gene expression signature of MESP1+ cells for effective in vitro CPC manipulation. Studying the transcriptional profile of MESP1+ cells resulted into the identification of important signalling pathways and chemicals which could be introduced as powerful tools to manage proliferation and differentiation of hESC-derived CPCs more efficiently.
Starting Page	77
Ending Page	83
Page Count	7
ISSN	17518849
Volume Number	13
e-ISSN	17518857
Issue Number	Issue 2, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-syb/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-syb.2018.5037
Journal	IET Systems Biology
Publisher Date	2018-09-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Intelligence Bioinformatics Bioinformatics Analysis Biology And Medical Computing Biomolecular Interactions Cardiac Cell Types Cardiac Regenerative Medicine Cardiogenesis Cardiovascular System Cell Fate Decisions Cell Proliferation Cellular Biophysics Charge Transfer Complexes DEGs Differentially Expressed Genes Enriched Signalling Pathways Enzymes Gene Expression Signature Gene Ontology Genetics HESC-derived CPCs HESC-derived Early Cardiovascular Progenitors Hippo Human Embryonic Stem Cell-derived MESP1+ Cell Human Pluripotent Stem Cell-derived Cardiovascular Progenitor Cell Knowledge Engineering Technique Lab-on-a-chip Mesoderm Posterior1+ Cell MESP1-negative Cell Microarray Data Molecular Biophysics Ontologies Pathway Enrichment Analysis Physics of Subcellular Structure PI3K/Akt Putative Regulatory Small Molecule Transcriptional Regulatory Factors Transforming Growth Factor-β Wnt
Content Type	Text
Resource Type	Article
Subject	Cell Biology Genetics Molecular Biology Modeling and Simulation Biotechnology

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