Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine
Pluripotent stem cells are endless sources for in vitro engineering human tissues for regenerative medicine. Extensive studies have demonstrated that transcription factors are the key to stem cell lineage commitment and differentiation efficacy. As the transcription factor profile varies depending o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Cells |
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| Online Access: | https://www.mdpi.com/2073-4409/12/10/1442 |
| _version_ | 1797600626920652800 |
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| author | Derek A. Ogi Sha Jin |
| author_facet | Derek A. Ogi Sha Jin |
| author_sort | Derek A. Ogi |
| collection | DOAJ |
| description | Pluripotent stem cells are endless sources for in vitro engineering human tissues for regenerative medicine. Extensive studies have demonstrated that transcription factors are the key to stem cell lineage commitment and differentiation efficacy. As the transcription factor profile varies depending on the cell type, global transcriptome analysis through RNA sequencing (RNAseq) has been a powerful tool for measuring and characterizing the success of stem cell differentiation. RNAseq has been utilized to comprehend how gene expression changes as cells differentiate and provide a guide to inducing cellular differentiation based on promoting the expression of specific genes. It has also been utilized to determine the specific cell type. This review highlights RNAseq techniques, tools for RNAseq data interpretation, RNAseq data analytic methods and their utilities, and transcriptomics-enabled human stem cell differentiation. In addition, the review outlines the potential benefits of the transcriptomics-aided discovery of intrinsic factors influencing stem cell lineage commitment, transcriptomics applied to disease physiology studies using patients’ induced pluripotent stem cell (iPSC)-derived cells for regenerative medicine, and the future outlook on the technology and its implementation. |
| first_indexed | 2024-03-11T03:50:30Z |
| format | Article |
| id | doaj.art-37c140d95e00449aacdfa7c43ec7e0e5 |
| institution | Directory Open Access Journal |
| issn | 2073-4409 |
| language | English |
| last_indexed | 2024-03-11T03:50:30Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cells |
| spelling | doaj.art-37c140d95e00449aacdfa7c43ec7e0e52023-11-18T00:53:42ZengMDPI AGCells2073-44092023-05-011210144210.3390/cells12101442Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative MedicineDerek A. Ogi0Sha Jin1Department of Biomedical Engineering, Thomas J. Watson College of Engineering and Applied Sciences, State University of New York at Binghamton, Binghamton, NY 13902, USADepartment of Biomedical Engineering, Thomas J. Watson College of Engineering and Applied Sciences, State University of New York at Binghamton, Binghamton, NY 13902, USAPluripotent stem cells are endless sources for in vitro engineering human tissues for regenerative medicine. Extensive studies have demonstrated that transcription factors are the key to stem cell lineage commitment and differentiation efficacy. As the transcription factor profile varies depending on the cell type, global transcriptome analysis through RNA sequencing (RNAseq) has been a powerful tool for measuring and characterizing the success of stem cell differentiation. RNAseq has been utilized to comprehend how gene expression changes as cells differentiate and provide a guide to inducing cellular differentiation based on promoting the expression of specific genes. It has also been utilized to determine the specific cell type. This review highlights RNAseq techniques, tools for RNAseq data interpretation, RNAseq data analytic methods and their utilities, and transcriptomics-enabled human stem cell differentiation. In addition, the review outlines the potential benefits of the transcriptomics-aided discovery of intrinsic factors influencing stem cell lineage commitment, transcriptomics applied to disease physiology studies using patients’ induced pluripotent stem cell (iPSC)-derived cells for regenerative medicine, and the future outlook on the technology and its implementation.https://www.mdpi.com/2073-4409/12/10/1442transcriptomicshuman stem cell differentiationRNA sequencing and data analysisdifferential gene expression |
| spellingShingle | Derek A. Ogi Sha Jin Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine Cells transcriptomics human stem cell differentiation RNA sequencing and data analysis differential gene expression |
| title | Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine |
| title_full | Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine |
| title_fullStr | Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine |
| title_full_unstemmed | Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine |
| title_short | Transcriptome-Powered Pluripotent Stem Cell Differentiation for Regenerative Medicine |
| title_sort | transcriptome powered pluripotent stem cell differentiation for regenerative medicine |
| topic | transcriptomics human stem cell differentiation RNA sequencing and data analysis differential gene expression |
| url | https://www.mdpi.com/2073-4409/12/10/1442 |
| work_keys_str_mv | AT derekaogi transcriptomepoweredpluripotentstemcelldifferentiationforregenerativemedicine AT shajin transcriptomepoweredpluripotentstemcelldifferentiationforregenerativemedicine |