Literature DB >> 33720766

Toward a Three-Dimensional Chromosome Shape Alphabet.

Carlos Soto1, Darshan Bryner2, Nicola Neretti3, Anuj Srivastava1.   

Abstract

The study of the three-dimensional (3D) structure of chromosomes-the largest macromolecules in biology-is one of the most challenging to date in structural biology. Here, we develop a novel representation of 3D chromosome structures, as sequences of shape letters from a finite shape alphabet, which provides a compact and efficient way to analyze ensembles of chromosome shape data, akin to the analysis of texts in a language by using letters. We construct a Chromosome Shape Alphabet from an ensemble of chromosome 3D structures inferred from Hi-C data-via SIMBA3D or other methods-by segmenting curves based on topologically associating domains (TADs) boundaries, and by clustering all TADs' 3D structures into groups of similar shapes. The median shapes of these groups, with some pruning and processing, form the Chromosome Shape Letters (CSLs) of the alphabet. We provide a proof of concept for these CSLs by reconstructing independent test curves by using only CSLs (and corresponding transformations) and comparing these reconstructions with the original curves. Finally, we demonstrate how CSLs can be used to summarize shapes in an ensemble of chromosome 3D structures by using generalized sequence logos.

Entities:  

Keywords:  TAD segmentation; chromosome structures; shape analysis; shape letters; structural representations; structural variability

Mesh:

Year:  2021        PMID: 33720766      PMCID: PMC8219198          DOI: 10.1089/cmb.2020.0383

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.549


  23 in total

1.  Shape Analysis of Elastic Curves in Euclidean Spaces.

Authors:  Anuj Srivastava; Eric Klassen; Shantanu H Joshi; Ian H Jermyn
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2010-10-14       Impact factor: 6.226

2.  Sequence logos: a new way to display consensus sequences.

Authors:  T D Schneider; R M Stephens
Journal:  Nucleic Acids Res       Date:  1990-10-25       Impact factor: 16.971

3.  Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data.

Authors:  Michael Rosenthal; Darshan Bryner; Fred Huffer; Shane Evans; Anuj Srivastava; Nicola Neretti
Journal:  J Comput Biol       Date:  2019-06-18       Impact factor: 1.479

4.  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

5.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

6.  Super-resolution chromatin tracing reveals domains and cooperative interactions in single cells.

Authors:  Bogdan Bintu; Leslie J Mateo; Jun-Han Su; Nicholas A Sinnott-Armstrong; Mirae Parker; Seon Kinrot; Kei Yamaya; Alistair N Boettiger; Xiaowei Zhuang
Journal:  Science       Date:  2018-10-26       Impact factor: 47.728

7.  Hi-C: a method to study the three-dimensional architecture of genomes.

Authors:  Nynke L van Berkum; Erez Lieberman-Aiden; Louise Williams; Maxim Imakaev; Andreas Gnirke; Leonid A Mirny; Job Dekker; Eric S Lander
Journal:  J Vis Exp       Date:  2010-05-06       Impact factor: 1.355

8.  Impact of data resolution on three-dimensional structure inference methods.

Authors:  Jincheol Park; Shili Lin
Journal:  BMC Bioinformatics       Date:  2016-02-06       Impact factor: 3.169

9.  Cell-cycle dynamics of chromosomal organization at single-cell resolution.

Authors:  Takashi Nagano; Yaniv Lubling; Csilla Várnai; Carmel Dudley; Wing Leung; Yael Baran; Netta Mendelson Cohen; Steven Wingett; Peter Fraser; Amos Tanay
Journal:  Nature       Date:  2017-07-05       Impact factor: 49.962

Review 10.  Principles of genome folding into topologically associating domains.

Authors:  Quentin Szabo; Frédéric Bantignies; Giacomo Cavalli
Journal:  Sci Adv       Date:  2019-04-10       Impact factor: 14.136

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