Literature DB >> 35165532

STATISTICAL COMPARISONS OF CHROMOSOMAL SHAPE POPULATIONS.

Carlos J Soto1,2, Peiyao A Zhao3, Kyle N Klein3, David M Gilbert3, Anuj Srivastava2.   

Abstract

This paper develops statistical tools for testing differences in shapes of chromosomes resulting from certain gene knockouts (KO), specifically RIF1 gene KO (RKO) and the cohesin subunit RAD21 gene KO (CKO). It utilizes a two-sample test for comparing shapes of KO chromosomes with wild type (WT) at two levels: (1) Coarse shape analysis, where one compares shapes of full or large parts of chromosomes, and (2) Fine shape analysis, where chromosomes are first segmented into (TAD-based) pieces and then the corresponding pieces are compared across populations. The shape comparisons - coarse and fine - are based on an elastic shape metric for comparing shapes of 3D curves. The experiments show that the KO populations, RKO and CKO, have statistically significant differences from WT at both coarse and fine levels. Furthermore, this framework highlights local regions where these differences are most prominent.

Entities:  

Keywords:  TAD; chromosomal shapes; elastic shape analysis; knock-out; shape comparisons

Year:  2021        PMID: 35165532      PMCID: PMC8840943          DOI: 10.1109/isbi48211.2021.9433812

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  6 in total

1.  Testing Equality of Cell Populations Based on Shape and Geodesic Distance.

Authors:  Charles Hagwood; Javier Bernal; Michael Halter; John Elliott; Tegan Brennan
Journal:  IEEE Trans Med Imaging       Date:  2013-08-26       Impact factor: 10.048

2.  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

3.  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

4.  Two independent modes of chromatin organization revealed by cohesin removal.

Authors:  Wibke Schwarzer; Nezar Abdennur; Anton Goloborodko; Aleksandra Pekowska; Geoffrey Fudenberg; Yann Loe-Mie; Nuno A Fonseca; Wolfgang Huber; Christian H Haering; Leonid Mirny; Francois Spitz
Journal:  Nature       Date:  2017-09-27       Impact factor: 49.962

5.  Bayesian inference of spatial organizations of chromosomes.

Authors:  Ming Hu; Ke Deng; Zhaohui Qin; Jesse Dixon; Siddarth Selvaraj; Jennifer Fang; Bing Ren; Jun S Liu
Journal:  PLoS Comput Biol       Date:  2013-01-31       Impact factor: 4.475

  6 in total

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