Hi-C as a molecular rangefinder to examine genomic rearrangements
The mammalian genome is highly packed into the nucleus. Over the past decade, the development of Hi-C has contributed significantly to our understanding of the three-dimensional (3D) chromatin structure, uncovering the principles and functions of higher-order chromatin organizations. Recent studies...
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Veröffentlicht in: | Seminars in cell & developmental biology 2022-01, Vol.121, p.161-170 |
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creator | Kim, Kyukwang Kim, Mooyoung Kim, Yubin Lee, Dongsung Jung, Inkyung |
description | The mammalian genome is highly packed into the nucleus. Over the past decade, the development of Hi-C has contributed significantly to our understanding of the three-dimensional (3D) chromatin structure, uncovering the principles and functions of higher-order chromatin organizations. Recent studies have repositioned its property in spatial proximity measurement to address challenging problems in genome analyses including genome assembly, haplotype phasing, and the detection of genomic rearrangements. In particular, the power of Hi-C in detecting large-scale structural variations (SVs) in the cancer genome has been demonstrated, which is challenging to be addressed solely with short-read-based whole-genome sequencing analyses. In this review, we first provide a comprehensive view of Hi-C as an intuitive and effective SV detection tool. Then, we introduce recently developed bioinformatics tools utilizing Hi-C to investigate genomic rearrangements. Finally, we discuss the potential application of single-cell Hi-C to address the heterogeneity of genomic rearrangements and sub-population identification in the cancer genome. |
doi_str_mv | 10.1016/j.semcdb.2021.04.024 |
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Over the past decade, the development of Hi-C has contributed significantly to our understanding of the three-dimensional (3D) chromatin structure, uncovering the principles and functions of higher-order chromatin organizations. Recent studies have repositioned its property in spatial proximity measurement to address challenging problems in genome analyses including genome assembly, haplotype phasing, and the detection of genomic rearrangements. In particular, the power of Hi-C in detecting large-scale structural variations (SVs) in the cancer genome has been demonstrated, which is challenging to be addressed solely with short-read-based whole-genome sequencing analyses. In this review, we first provide a comprehensive view of Hi-C as an intuitive and effective SV detection tool. Then, we introduce recently developed bioinformatics tools utilizing Hi-C to investigate genomic rearrangements. Finally, we discuss the potential application of single-cell Hi-C to address the heterogeneity of genomic rearrangements and sub-population identification in the cancer genome.</description><subject>3D chromatin structure</subject><subject>Chromatin - metabolism</subject><subject>Computational Biology - methods</subject><subject>Genomics - methods</subject><subject>Hi-C</subject><subject>Humans</subject><subject>Single-cell Hi-C</subject><subject>Structural variations</subject><issn>1084-9521</issn><issn>1096-3634</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1Lw0AQhhdRbK3-A5EcvSTuVzbJRShFrVDwoudlMzspW_JRdxPRf29qqkdPMzDPO8M8hFwzmjDK1N0uCdiALRNOOUuoTCiXJ2TOaKFioYQ8PfS5jIuUsxm5CGFHKZUFV-dkJkRR8FSwOVmuXbyKTIhM1HQ1wlAbH3nTbrFyrUUf9V2En6ZxLUZbbLvGQeTR-B-kwbYPl-SsMnXAq2NdkLfHh9fVOt68PD2vlpsYhOJ9DGkFVDGe2yxlpSgt5FyCkgUA5OMktcYaIUpIy4xXJauMRasqUFlZZBmnYkFup717370PGHrduABY16bFbgiapzyXokjzAyonFHwXgsdK771rjP_SjOqDPL3Tkzx9kKep1KO8MXZzvDCUDdq_0K-tEbifABz__HDodQCHLaB1HqHXtnP_X_gGcwqCMA</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Kim, Kyukwang</creator><creator>Kim, Mooyoung</creator><creator>Kim, Yubin</creator><creator>Lee, Dongsung</creator><creator>Jung, Inkyung</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3815-7057</orcidid></search><sort><creationdate>202201</creationdate><title>Hi-C as a molecular rangefinder to examine genomic rearrangements</title><author>Kim, Kyukwang ; Kim, Mooyoung ; Kim, Yubin ; Lee, Dongsung ; Jung, Inkyung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-c5fc06128d751b3bdc824c649ccc8c065dada33bc5b72fb1faded6fc67b977203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>3D chromatin structure</topic><topic>Chromatin - metabolism</topic><topic>Computational Biology - methods</topic><topic>Genomics - methods</topic><topic>Hi-C</topic><topic>Humans</topic><topic>Single-cell Hi-C</topic><topic>Structural variations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Kyukwang</creatorcontrib><creatorcontrib>Kim, Mooyoung</creatorcontrib><creatorcontrib>Kim, Yubin</creatorcontrib><creatorcontrib>Lee, Dongsung</creatorcontrib><creatorcontrib>Jung, Inkyung</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Seminars in cell & developmental biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Kyukwang</au><au>Kim, Mooyoung</au><au>Kim, Yubin</au><au>Lee, Dongsung</au><au>Jung, Inkyung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hi-C as a molecular rangefinder to examine genomic rearrangements</atitle><jtitle>Seminars in cell & developmental biology</jtitle><addtitle>Semin Cell Dev Biol</addtitle><date>2022-01</date><risdate>2022</risdate><volume>121</volume><spage>161</spage><epage>170</epage><pages>161-170</pages><issn>1084-9521</issn><eissn>1096-3634</eissn><abstract>The mammalian genome is highly packed into the nucleus. Over the past decade, the development of Hi-C has contributed significantly to our understanding of the three-dimensional (3D) chromatin structure, uncovering the principles and functions of higher-order chromatin organizations. Recent studies have repositioned its property in spatial proximity measurement to address challenging problems in genome analyses including genome assembly, haplotype phasing, and the detection of genomic rearrangements. In particular, the power of Hi-C in detecting large-scale structural variations (SVs) in the cancer genome has been demonstrated, which is challenging to be addressed solely with short-read-based whole-genome sequencing analyses. In this review, we first provide a comprehensive view of Hi-C as an intuitive and effective SV detection tool. Then, we introduce recently developed bioinformatics tools utilizing Hi-C to investigate genomic rearrangements. 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subjects | 3D chromatin structure Chromatin - metabolism Computational Biology - methods Genomics - methods Hi-C Humans Single-cell Hi-C Structural variations |
title | Hi-C as a molecular rangefinder to examine genomic rearrangements |
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