Literature DB >> 29674753

Combining fluorescence imaging with Hi-C to study 3D genome architecture of the same single cell.

David Lando1, Srinjan Basu1, Tim J Stevens2, Andy Riddell3, Kai J Wohlfahrt1, Yang Cao1, Wayne Boucher1, Martin Leeb3, Liam P Atkinson1, Steven F Lee4, Brian Hendrich3, Dave Klenerman4, Ernest D Laue1.   

Abstract

Fluorescence imaging and chromosome conformation capture assays such as Hi-C are key tools for studying genome organization. However, traditionally, they have been carried out independently, making integration of the two types of data difficult to perform. By trapping individual cell nuclei inside a well of a 384-well glass-bottom plate with an agarose pad, we have established a protocol that allows both fluorescence imaging and Hi-C processing to be carried out on the same single cell. The protocol identifies 30,000-100,000 chromosome contacts per single haploid genome in parallel with fluorescence images. Contacts can be used to calculate intact genome structures to better than 100-kb resolution, which can then be directly compared with the images. Preparation of 20 single-cell Hi-C libraries using this protocol takes 5 d of bench work by researchers experienced in molecular biology techniques. Image acquisition and analysis require basic understanding of fluorescence microscopy, and some bioinformatics knowledge is required to run the sequence-processing tools described here.

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Year:  2018        PMID: 29674753     DOI: 10.1038/nprot.2018.017

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  19 in total

1.  Long-range compaction and flexibility of interphase chromatin in budding yeast analyzed by high-resolution imaging techniques.

Authors:  Kerstin Bystricky; Patrick Heun; Lutz Gehlen; Jörg Langowski; Susan M Gasser
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-15       Impact factor: 11.205

2.  Organization of the mitotic chromosome.

Authors:  Natalia Naumova; Maxim Imakaev; Geoffrey Fudenberg; Ye Zhan; Bryan R Lajoie; Leonid A Mirny; Job Dekker
Journal:  Science       Date:  2013-11-07       Impact factor: 47.728

3.  A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.

Authors:  Suhas S P Rao; Miriam H Huntley; Neva C Durand; Elena K Stamenova; Ivan D Bochkov; James T Robinson; Adrian L Sanborn; Ido Machol; Arina D Omer; Eric S Lander; Erez Lieberman Aiden
Journal:  Cell       Date:  2014-12-11       Impact factor: 41.582

4.  Flow immunocytochemistry of marker expression in cells from body cavity fluids.

Authors:  Awtar Krishan; Parvin Ganjei-Azar; Ronald Hamelik; Deepti Sharma; Isildinha Reis; Mehrdad Nadji
Journal:  Cytometry A       Date:  2010-02       Impact factor: 4.355

5.  Derivation of haploid embryonic stem cells from mouse embryos.

Authors:  Martin Leeb; Anton Wutz
Journal:  Nature       Date:  2011-09-07       Impact factor: 49.962

6.  Topological domains in mammalian genomes identified by analysis of chromatin interactions.

Authors:  Jesse R Dixon; Siddarth Selvaraj; Feng Yue; Audrey Kim; Yan Li; Yin Shen; Ming Hu; Jun S Liu; Bing Ren
Journal:  Nature       Date:  2012-04-11       Impact factor: 49.962

7.  Massively multiplex single-cell Hi-C.

Authors:  Vijay Ramani; Xinxian Deng; Ruolan Qiu; Kevin L Gunderson; Frank J Steemers; Christine M Disteche; William S Noble; Zhijun Duan; Jay Shendure
Journal:  Nat Methods       Date:  2017-01-30       Impact factor: 28.547

8.  3D structures of individual mammalian genomes studied by single-cell Hi-C.

Authors:  Tim J Stevens; David Lando; Srinjan Basu; Liam P Atkinson; Yang Cao; Steven F Lee; Martin Leeb; Kai J Wohlfahrt; Wayne Boucher; Aoife O'Shaughnessy-Kirwan; Julie Cramard; Andre J Faure; Meryem Ralser; Enrique Blanco; Lluis Morey; Miriam Sansó; Matthieu G S Palayret; Ben Lehner; Luciano Di Croce; Anton Wutz; Brian Hendrich; Dave Klenerman; Ernest D Laue
Journal:  Nature       Date:  2017-03-13       Impact factor: 49.962

9.  Single-cell Hi-C reveals cell-to-cell variability in chromosome structure.

Authors:  Takashi Nagano; Yaniv Lubling; Tim J Stevens; Stefan Schoenfelder; Eitan Yaffe; Wendy Dean; Ernest D Laue; Amos Tanay; Peter Fraser
Journal:  Nature       Date:  2013-09-25       Impact factor: 49.962

10.  HiCUP: pipeline for mapping and processing Hi-C data.

Authors:  Steven Wingett; Philip Ewels; Mayra Furlan-Magaril; Takashi Nagano; Stefan Schoenfelder; Peter Fraser; Simon Andrews
Journal:  F1000Res       Date:  2015-11-20
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  6 in total

1.  Studying the Dynamics of Chromatin-Binding Proteins in Mammalian Cells Using Single-Molecule Localization Microscopy.

Authors:  Maike Steindel; Igor Orsine de Almeida; Stanley Strawbridge; Valentyna Chernova; David Holcman; Aleks Ponjavic; Srinjan Basu
Journal:  Methods Mol Biol       Date:  2022

2.  Single-cell Hi-C data analysis: safety in numbers.

Authors:  Aleksandra A Galitsyna; Mikhail S Gelfand
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

3.  Enhancer-Promoter Communication: It's Not Just About Contact.

Authors:  Annabelle Wurmser; Srinjan Basu
Journal:  Front Mol Biosci       Date:  2022-04-19

4.  Enrichment of rare events using a multi-parameter high throughput microfluidic droplet sorter.

Authors:  Sheng-Ting Hung; Srijit Mukherjee; Ralph Jimenez
Journal:  Lab Chip       Date:  2020-01-24       Impact factor: 6.799

5.  Calculation of 3D genome structures for comparison of chromosome conformation capture experiments with microscopy: An evaluation of single-cell Hi-C protocols.

Authors:  David Lando; Tim J Stevens; Srinjan Basu; Ernest D Laue
Journal:  Nucleus       Date:  2018-01-01       Impact factor: 4.197

6.  Towards mapping the 3D genome through high speed single-molecule tracking of functional transcription factors in single living cells.

Authors:  Adam J M Wollman; Erik G Hedlund; Sviatlana Shashkova; Mark C Leake
Journal:  Methods       Date:  2019-06-26       Impact factor: 3.608

  6 in total

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