Development of bioinformatics methods and platforms to characterize chromatin interactions

Chromatin interactions are loops between genomic elements, such as enhancers and promoters, that regulate gene transcription. High throughput chromosome conformation capture (Hi-C) is an important method for studying chromatin interactions in the whole genome. Our aim is to understand or address the...

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Main Author: Chen, Kaijing
Other Authors: Melissa Jane Fullwood
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/177337
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1773372024-06-03T06:51:19Z Development of bioinformatics methods and platforms to characterize chromatin interactions Chen, Kaijing Melissa Jane Fullwood School of Biological Sciences mfullwood@ntu.edu.sg Medicine, Health and Life Sciences Chromatin interaction Super-silencer Cancer Chromatin interactions are loops between genomic elements, such as enhancers and promoters, that regulate gene transcription. High throughput chromosome conformation capture (Hi-C) is an important method for studying chromatin interactions in the whole genome. Our aim is to understand or address the challenges and gaps identified in analyzing Hi-C sequencing data and develop innovative solutions to enhance our understanding of the alterations of chromatin interactions in the context of cancer. In the first project, we defined a super-silencer as a genomic region of high H3K27me3 signal comprised of multiple silencers that can work as a single entity to repress the transcription of genes that are important to the regulation of cell identity. Then we asked about the possibility of using drug treatments that affect oncogenes regulated by super-silencers as potential therapies for cancer. Our hypothesis was that the combinatorial treatment of EZH2 inhibitor GlaxoSmithKline 343 (GSK343) and REST inhibitor X5050 ("GR treatment") could upregulate apoptotic genes regulated by "super-silencers" and disrupt chromatin interactions of oncogenes, thus giving rise to antitumor effects. We found that the GR treatment resulted in a significant loss of chromatin interaction. Furthermore, certain apoptotic genes such as CDKN1A, which are regulated by super-silencers through chromatin interactions, showed increased expression levels. It is important to note that a lot of cell death was also observed during the GR treatment. In conclusion, we revealed the underlying mechanism of GR treatment in cell death, which has the potential to lead to cancer ablation through the initiation of apoptosis and disrupt "super-silencer"-related oncogenes regulated by chromatin interactions. This combinatorial treatment offers a promising therapeutic avenue for myeloid leukemias. To address the limitations in current Hi-C sequencing analysis approaches and to identify additional factors influencing chromatin architecture beyond super-silencers, we also built two pipelines: "SIQHiC-box" for detecting global changes in chromatin contact frequency and "iChIAP" for obtaining chromatin interaction data and critical genomic features from the same Hi-C sequencing data. Taken together, our work presents a new perspective on super-silencers and their relationship with chromatin interactions. Additionally, we have developed two new pipelines to facilitate the comprehension of alterations in chromatin interactions in cells. In the future, we hope these pipelines will be useful in uncovering more characteristics of super-silencers or factors related to chromatin interactions and identifying more characteristics of chromatin interactions that contribute to cancer progression. Doctor of Philosophy 2024-05-23T12:31:38Z 2024-05-23T12:31:38Z 2023 Thesis-Doctor of Philosophy Chen, K. (2023). Development of bioinformatics methods and platforms to characterize chromatin interactions. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177337 https://hdl.handle.net/10356/177337 10.32657/10356/177337 en The Ministry of Education, Singapore under its Academic Research Fund Tier II (MOE-T2EP30120-0009) awarded to MJF (PI). The Ministry of Education, Singapore under its Academic Research Fund Tier 1 Thematic (RT5/22) awarded to MJF (PI). 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 Medicine, Health and Life Sciences
Chromatin interaction
Super-silencer
Cancer
spellingShingle Medicine, Health and Life Sciences
Chromatin interaction
Super-silencer
Cancer
Chen, Kaijing
Development of bioinformatics methods and platforms to characterize chromatin interactions
description Chromatin interactions are loops between genomic elements, such as enhancers and promoters, that regulate gene transcription. High throughput chromosome conformation capture (Hi-C) is an important method for studying chromatin interactions in the whole genome. Our aim is to understand or address the challenges and gaps identified in analyzing Hi-C sequencing data and develop innovative solutions to enhance our understanding of the alterations of chromatin interactions in the context of cancer. In the first project, we defined a super-silencer as a genomic region of high H3K27me3 signal comprised of multiple silencers that can work as a single entity to repress the transcription of genes that are important to the regulation of cell identity. Then we asked about the possibility of using drug treatments that affect oncogenes regulated by super-silencers as potential therapies for cancer. Our hypothesis was that the combinatorial treatment of EZH2 inhibitor GlaxoSmithKline 343 (GSK343) and REST inhibitor X5050 ("GR treatment") could upregulate apoptotic genes regulated by "super-silencers" and disrupt chromatin interactions of oncogenes, thus giving rise to antitumor effects. We found that the GR treatment resulted in a significant loss of chromatin interaction. Furthermore, certain apoptotic genes such as CDKN1A, which are regulated by super-silencers through chromatin interactions, showed increased expression levels. It is important to note that a lot of cell death was also observed during the GR treatment. In conclusion, we revealed the underlying mechanism of GR treatment in cell death, which has the potential to lead to cancer ablation through the initiation of apoptosis and disrupt "super-silencer"-related oncogenes regulated by chromatin interactions. This combinatorial treatment offers a promising therapeutic avenue for myeloid leukemias. To address the limitations in current Hi-C sequencing analysis approaches and to identify additional factors influencing chromatin architecture beyond super-silencers, we also built two pipelines: "SIQHiC-box" for detecting global changes in chromatin contact frequency and "iChIAP" for obtaining chromatin interaction data and critical genomic features from the same Hi-C sequencing data. Taken together, our work presents a new perspective on super-silencers and their relationship with chromatin interactions. Additionally, we have developed two new pipelines to facilitate the comprehension of alterations in chromatin interactions in cells. In the future, we hope these pipelines will be useful in uncovering more characteristics of super-silencers or factors related to chromatin interactions and identifying more characteristics of chromatin interactions that contribute to cancer progression.
author2 Melissa Jane Fullwood
author_facet Melissa Jane Fullwood
Chen, Kaijing
format Thesis-Doctor of Philosophy
author Chen, Kaijing
author_sort Chen, Kaijing
title Development of bioinformatics methods and platforms to characterize chromatin interactions
title_short Development of bioinformatics methods and platforms to characterize chromatin interactions
title_full Development of bioinformatics methods and platforms to characterize chromatin interactions
title_fullStr Development of bioinformatics methods and platforms to characterize chromatin interactions
title_full_unstemmed Development of bioinformatics methods and platforms to characterize chromatin interactions
title_sort development of bioinformatics methods and platforms to characterize chromatin interactions
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177337
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