Single-cell analyses to decipher cell fate reprogramming

Cellular reprogramming suffers from low efficiencies, resulting in heterogeneous populations. Therefore, ensemble measurements of the mixed population often mask the rare cells which are on the route to successful reprogramming. To de-convolute the heterogeneity, I have presented the single-cell roa...

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Main Author: Xing, Qiaorui
Other Authors: Koh Cheng Gee
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/138344
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1383442023-02-28T18:41:24Z Single-cell analyses to decipher cell fate reprogramming Xing, Qiaorui Koh Cheng Gee School of Biological Sciences Loh Yuin-Han Jonathan cgkoh@ntu.edu.sg; yhloh@imcb.a-star.edu.sg Science::Biological sciences Cellular reprogramming suffers from low efficiencies, resulting in heterogeneous populations. Therefore, ensemble measurements of the mixed population often mask the rare cells which are on the route to successful reprogramming. To de-convolute the heterogeneity, I have presented the single-cell roadmap of the human cellular reprogramming process, through time-course analysis of scRNA-Seq and scATAC-Seq libraries. From the scRNA-Seq analysis, sub-populations with varied stemness potentials were identified for the reprogramming cells of various stages. Molecular signatures specific to each sub-population were characterized. Moreover, a panel of surface markers was developed to enrich for the intermediate cells with diverse cell-fate trajectories and reprogramming propensities. On the other hand, scATAC-Seq analysis revealed the stage-specific TF regulatory networks of reprogramming. The activity of some TFs, such as FOS-JUN-AP-1 family, diminished, whereas TFs belonging to the family of TEAD, OCT, KLF, SP, FOX, YY2, and SRY were responsible for the opening of chromatin during the reprogramming. Interestingly, lineage related TFs, including GATA-TAL, SOX, NRL, PAX6, HNF4G, and RXR family, were enriched transiently in the intermediary stages of reprogramming. Importantly, FOS-JUN and TEAD4 were found to be the most variable TFs contributing to the heterogeneity of D8 cells. Furthermore, the crucial switch from a FOSL1- to a TEAD4-centric expression was described, which collectively regulates genomic accessibility, the cell-lineage transcription program, and the network of functional downstream modulators favoring the acquisition of the pluripotent state. Altogether, this study illuminates the multitude of diverse routes transversed by the individual reprogramming cells and presents an integrative roadmap for identifying the mechanistic parts-list of the reprogramming machinery. Doctor of Philosophy 2020-05-04T00:36:53Z 2020-05-04T00:36:53Z 2019 Thesis-Doctor of Philosophy Xing, Q. (2019). Single-cell analyses to decipher cell fate reprogramming. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/138344 10.32657/10356/138344 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Biological sciences
spellingShingle Science::Biological sciences
Xing, Qiaorui
Single-cell analyses to decipher cell fate reprogramming
description Cellular reprogramming suffers from low efficiencies, resulting in heterogeneous populations. Therefore, ensemble measurements of the mixed population often mask the rare cells which are on the route to successful reprogramming. To de-convolute the heterogeneity, I have presented the single-cell roadmap of the human cellular reprogramming process, through time-course analysis of scRNA-Seq and scATAC-Seq libraries. From the scRNA-Seq analysis, sub-populations with varied stemness potentials were identified for the reprogramming cells of various stages. Molecular signatures specific to each sub-population were characterized. Moreover, a panel of surface markers was developed to enrich for the intermediate cells with diverse cell-fate trajectories and reprogramming propensities. On the other hand, scATAC-Seq analysis revealed the stage-specific TF regulatory networks of reprogramming. The activity of some TFs, such as FOS-JUN-AP-1 family, diminished, whereas TFs belonging to the family of TEAD, OCT, KLF, SP, FOX, YY2, and SRY were responsible for the opening of chromatin during the reprogramming. Interestingly, lineage related TFs, including GATA-TAL, SOX, NRL, PAX6, HNF4G, and RXR family, were enriched transiently in the intermediary stages of reprogramming. Importantly, FOS-JUN and TEAD4 were found to be the most variable TFs contributing to the heterogeneity of D8 cells. Furthermore, the crucial switch from a FOSL1- to a TEAD4-centric expression was described, which collectively regulates genomic accessibility, the cell-lineage transcription program, and the network of functional downstream modulators favoring the acquisition of the pluripotent state. Altogether, this study illuminates the multitude of diverse routes transversed by the individual reprogramming cells and presents an integrative roadmap for identifying the mechanistic parts-list of the reprogramming machinery.
author2 Koh Cheng Gee
author_facet Koh Cheng Gee
Xing, Qiaorui
format Thesis-Doctor of Philosophy
author Xing, Qiaorui
author_sort Xing, Qiaorui
title Single-cell analyses to decipher cell fate reprogramming
title_short Single-cell analyses to decipher cell fate reprogramming
title_full Single-cell analyses to decipher cell fate reprogramming
title_fullStr Single-cell analyses to decipher cell fate reprogramming
title_full_unstemmed Single-cell analyses to decipher cell fate reprogramming
title_sort single-cell analyses to decipher cell fate reprogramming
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/138344
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