Literature DB >> 30610495

Deciphering Hi-C: from 3D genome to function.

Siyuan Kong1, Yubo Zhang2.   

Abstract

Hi-C is a commonly used technology in 3D genomics which can depict global chromatin interactions across eukaryotic genome. Integrating with different datasets, it can also be applied to studying various biological questions, such as nuclear organization, gene transcription regulation, spatiotemporal development, genome assembly, and cancer genomics. During the last decade, the development and application of Hi-C have dramatically changed the view of genome architecture, chromatin conformation, and gene interaction. So far, Hi-C-related studies remain vivacious and controversial; thus, a unified standard of library construction and bioinformatics analysis are urgently needed. In this review, we have summarized its history, development, methodologies, advances, applications, shortages, and future perspectives. We discuss a few limitations of the current Hi-C technologies and future directions for improvement and highlight how Hi-C can bridge 3D structure to gene function. This review will be helpful for scientists who want to engage in the 3D genomics field; it also shows some future tracks.

Entities:  

Keywords:  3D genomics; Chromatin interaction; Gene function; Hi-C; Transcription regulation

Mesh:

Substances:

Year:  2019        PMID: 30610495     DOI: 10.1007/s10565-018-09456-2

Source DB:  PubMed          Journal:  Cell Biol Toxicol        ISSN: 0742-2091            Impact factor:   6.691


  18 in total

1.  Identifying high-confidence capture Hi-C interactions using CHiCANE.

Authors:  Erle M Holgersen; Andrea Gillespie; Olivia C Leavy; Joseph S Baxter; Alisa Zvereva; Gareth Muirhead; Nichola Johnson; Orsolya Sipos; Nicola H Dryden; Laura R Broome; Yi Chen; Igor Kozin; Frank Dudbridge; Olivia Fletcher; Syed Haider
Journal:  Nat Protoc       Date:  2021-04-09       Impact factor: 13.491

Review 2.  Sample-multiplexing approaches for single-cell sequencing.

Authors:  Yulong Zhang; Siwen Xu; Zebin Wen; Jinyu Gao; Shuang Li; Sherman M Weissman; Xinghua Pan
Journal:  Cell Mol Life Sci       Date:  2022-08-05       Impact factor: 9.207

3.  Integrated Analysis of Hi-C and RNA-Seq Reveals the Molecular Mechanism of Autopolyploid Growth Advantages in Pak Choi (Brassica rapa ssp. chinensis).

Authors:  Huiyuan Wu; Xiaoming Song; Shanwu Lyu; Yiming Ren; Tongkun Liu; Xilin Hou; Ying Li; Changwei Zhang
Journal:  Front Plant Sci       Date:  2022-06-24       Impact factor: 6.627

4.  Expanding the conservation genomics toolbox: Incorporating structural variants to enhance genomic studies for species of conservation concern.

Authors:  Jana Wold; Klaus-Peter Koepfli; Stephanie J Galla; David Eccles; Carolyn J Hogg; Marissa F Le Lec; Joseph Guhlin; Anna W Santure; Tammy E Steeves
Journal:  Mol Ecol       Date:  2021-09-12       Impact factor: 6.622

5.  Exonuclease combinations reduce noises in 3D genomics technologies.

Authors:  Siyuan Kong; Qing Li; Gaolin Zhang; Qiujia Li; Qitong Huang; Lei Huang; Hui Zhang; Yinghua Huang; Yanling Peng; Baoming Qin; Yubo Zhang
Journal:  Nucleic Acids Res       Date:  2020-05-07       Impact factor: 16.971

Review 6.  Understanding intrinsic hematopoietic stem cell aging.

Authors:  Eva Mejia-Ramirez; Maria Carolina Florian
Journal:  Haematologica       Date:  2019-12-05       Impact factor: 9.941

7.  Spatiotemporal molecular medicine: A new era of clinical and translational medicine.

Authors:  Xiangdong Wang; Jia Fan
Journal:  Clin Transl Med       Date:  2021-01

8.  Limited Introgression between Rock-Wallabies with Extensive Chromosomal Rearrangements.

Authors:  Sally Potter; Jason G Bragg; Rustamzhon Turakulov; Mark D B Eldridge; Janine Deakin; Mark Kirkpatrick; Richard J Edwards; Craig Moritz
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 8.800

Review 9.  Architectural RNA in chromatin organization.

Authors:  Jitendra Thakur; Steven Henikoff
Journal:  Biochem Soc Trans       Date:  2020-10-30       Impact factor: 5.407

Review 10.  The emerging role of super enhancer-derived noncoding RNAs in human cancer.

Authors:  Yutong Wang; Hui Nie; Xiaoyun He; Zhiming Liao; Yangying Zhou; Jianhua Zhou; Chunlin Ou
Journal:  Theranostics       Date:  2020-09-02       Impact factor: 11.556

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