Literature DB >> 35100425

CT-FOCS: a novel method for inferring cell type-specific enhancer-promoter maps.

Tom Aharon Hait1,2, Ran Elkon2,3, Ron Shamir1.   

Abstract

Spatiotemporal gene expression patterns are governed to a large extent by the activity of enhancer elements, which engage in physical contacts with their target genes. Identification of enhancer-promoter (EP) links that are functional only in a specific subset of cell types is a key challenge in understanding gene regulation. We introduce CT-FOCS (cell type FOCS), a statistical inference method that uses linear mixed effect models to infer EP links that show marked activity only in a single or a small subset of cell types out of a large panel of probed cell types. Analyzing 808 samples from FANTOM5, covering 472 cell lines, primary cells and tissues, CT-FOCS inferred such EP links more accurately than recent state-of-the-art methods. Furthermore, we show that strictly cell type-specific EP links are very uncommon in the human genome.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Mesh:

Year:  2022        PMID: 35100425      PMCID: PMC9178001          DOI: 10.1093/nar/gkac048

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  57 in total

1.  HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis.

Authors:  Ivan V Kulakovskiy; Ilya E Vorontsov; Ivan S Yevshin; Ruslan N Sharipov; Alla D Fedorova; Eugene I Rumynskiy; Yulia A Medvedeva; Arturo Magana-Mora; Vladimir B Bajic; Dmitry A Papatsenko; Fedor A Kolpakov; Vsevolod J Makeev
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

2.  Complex heatmaps reveal patterns and correlations in multidimensional genomic data.

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Journal:  Bioinformatics       Date:  2016-05-20       Impact factor: 6.937

3.  Modeling gene regulation from paired expression and chromatin accessibility data.

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Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-02       Impact factor: 11.205

Review 4.  The selection and function of cell type-specific enhancers.

Authors:  Sven Heinz; Casey E Romanoski; Christopher Benner; Christopher K Glass
Journal:  Nat Rev Mol Cell Biol       Date:  2015-02-04       Impact factor: 94.444

5.  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

Review 6.  ChIP-based methods for the identification of long-range chromatin interactions.

Authors:  Melissa J Fullwood; Yijun Ruan
Journal:  J Cell Biochem       Date:  2009-05-01       Impact factor: 4.429

7.  Local epigenomic state cannot discriminate interacting and non-interacting enhancer-promoter pairs with high accuracy.

Authors:  Wang Xi; Michael A Beer
Journal:  PLoS Comput Biol       Date:  2018-12-18       Impact factor: 4.475

8.  Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions.

Authors:  Nathan C Sheffield; Robert E Thurman; Lingyun Song; Alexias Safi; John A Stamatoyannopoulos; Boris Lenhard; Gregory E Crawford; Terrence S Furey
Journal:  Genome Res       Date:  2013-03-12       Impact factor: 9.043

9.  Systematic identification of protein combinations mediating chromatin looping.

Authors:  Kai Zhang; Nan Li; Richard I Ainsworth; Wei Wang
Journal:  Nat Commun       Date:  2016-07-27       Impact factor: 14.919

10.  Activity-by-contact model of enhancer-promoter regulation from thousands of CRISPR perturbations.

Authors:  Charles P Fulco; Joseph Nasser; Thouis R Jones; Glen Munson; Drew T Bergman; Vidya Subramanian; Sharon R Grossman; Rockwell Anyoha; Benjamin R Doughty; Tejal A Patwardhan; Tung H Nguyen; Michael Kane; Elizabeth M Perez; Neva C Durand; Caleb A Lareau; Elena K Stamenova; Erez Lieberman Aiden; Eric S Lander; Jesse M Engreitz
Journal:  Nat Genet       Date:  2019-11-29       Impact factor: 38.330

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