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Identification of potential transcription factors that enhance human iPSC generation

Although many factors have been identified and used to enhance the iPSC reprogramming process, its efficiency remains quite low. In addition, reprogramming efficacy has been evidenced to be affected by disease mutations that are present in patient samples. In this study, using RNA-seq platform we ha...

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Autores principales: Swaidan, Nuha T., Salloum-Asfar, Salam, Palangi, Freshteh, Errafii, Khaoula, Soliman, Nada H., Aboughalia, Ahmed T., Wali, Abdul Haseeb S., Abdulla, Sara A., Emara, Mohamed M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738555/
https://www.ncbi.nlm.nih.gov/pubmed/33319795
http://dx.doi.org/10.1038/s41598-020-78932-9
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author Swaidan, Nuha T.
Salloum-Asfar, Salam
Palangi, Freshteh
Errafii, Khaoula
Soliman, Nada H.
Aboughalia, Ahmed T.
Wali, Abdul Haseeb S.
Abdulla, Sara A.
Emara, Mohamed M.
author_facet Swaidan, Nuha T.
Salloum-Asfar, Salam
Palangi, Freshteh
Errafii, Khaoula
Soliman, Nada H.
Aboughalia, Ahmed T.
Wali, Abdul Haseeb S.
Abdulla, Sara A.
Emara, Mohamed M.
author_sort Swaidan, Nuha T.
collection PubMed
description Although many factors have been identified and used to enhance the iPSC reprogramming process, its efficiency remains quite low. In addition, reprogramming efficacy has been evidenced to be affected by disease mutations that are present in patient samples. In this study, using RNA-seq platform we have identified and validated the differential gene expression of five transcription factors (TFs) (GBX2, NANOGP8, SP8, PEG3, and ZIC1) that were associated with a remarkable increase in the number of iPSC colonies generated from a patient with Parkinson's disease. We have applied different bioinformatics tools (Gene ontology, protein–protein interaction, and signaling pathways analyses) to investigate the possible roles of these TFs in pluripotency and developmental process. Interestingly, GBX2, NANOGP8, SP8, PEG3, and ZIC1 were found to play a role in maintaining pluripotency, regulating self-renewal stages, and interacting with other factors that are involved in pluripotency regulation including OCT4, SOX2, NANOG, and KLF4. Therefore, the TFs identified in this study could be used as additional transcription factors that enhance reprogramming efficiency to boost iPSC generation technology.
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spelling pubmed-77385552020-12-17 Identification of potential transcription factors that enhance human iPSC generation Swaidan, Nuha T. Salloum-Asfar, Salam Palangi, Freshteh Errafii, Khaoula Soliman, Nada H. Aboughalia, Ahmed T. Wali, Abdul Haseeb S. Abdulla, Sara A. Emara, Mohamed M. Sci Rep Article Although many factors have been identified and used to enhance the iPSC reprogramming process, its efficiency remains quite low. In addition, reprogramming efficacy has been evidenced to be affected by disease mutations that are present in patient samples. In this study, using RNA-seq platform we have identified and validated the differential gene expression of five transcription factors (TFs) (GBX2, NANOGP8, SP8, PEG3, and ZIC1) that were associated with a remarkable increase in the number of iPSC colonies generated from a patient with Parkinson's disease. We have applied different bioinformatics tools (Gene ontology, protein–protein interaction, and signaling pathways analyses) to investigate the possible roles of these TFs in pluripotency and developmental process. Interestingly, GBX2, NANOGP8, SP8, PEG3, and ZIC1 were found to play a role in maintaining pluripotency, regulating self-renewal stages, and interacting with other factors that are involved in pluripotency regulation including OCT4, SOX2, NANOG, and KLF4. Therefore, the TFs identified in this study could be used as additional transcription factors that enhance reprogramming efficiency to boost iPSC generation technology. Nature Publishing Group UK 2020-12-15 /pmc/articles/PMC7738555/ /pubmed/33319795 http://dx.doi.org/10.1038/s41598-020-78932-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Swaidan, Nuha T.
Salloum-Asfar, Salam
Palangi, Freshteh
Errafii, Khaoula
Soliman, Nada H.
Aboughalia, Ahmed T.
Wali, Abdul Haseeb S.
Abdulla, Sara A.
Emara, Mohamed M.
Identification of potential transcription factors that enhance human iPSC generation
title Identification of potential transcription factors that enhance human iPSC generation
title_full Identification of potential transcription factors that enhance human iPSC generation
title_fullStr Identification of potential transcription factors that enhance human iPSC generation
title_full_unstemmed Identification of potential transcription factors that enhance human iPSC generation
title_short Identification of potential transcription factors that enhance human iPSC generation
title_sort identification of potential transcription factors that enhance human ipsc generation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738555/
https://www.ncbi.nlm.nih.gov/pubmed/33319795
http://dx.doi.org/10.1038/s41598-020-78932-9
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