Literature DB >> 27135799

Phylogenetic Profiling for Probing the Modular Architecture of the Human Genome.

Gautam Dey1, Tobias Meyer2.   

Abstract

Information about functional connections between genes can be derived from patterns of coupled loss of their homologs across multiple species. This comparative approach, termed phylogenetic profiling, has been successfully used to infer genetic interactions in bacteria and eukaryotes. Rapid progress in sequencing eukaryotic species has enabled the recent phylogenetic profiling of the human genome, resulting in systematic functional predictions for uncharacterized human genes. Importantly, groups of co-evolving genes reveal widespread modularity in the underlying genetic network, facilitating experimental analyses in human cells as well as comparative studies of conserved functional modules across species. This strategy is particularly successful in identifying novel metabolic proteins and components of multi-protein complexes. The targeted sequencing of additional key eukaryotes and the incorporation of improved methods to generate and compare phylogenetic profiles will further boost the predictive power and utility of this evolutionary approach to the functional analysis of gene interaction networks.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Year:  2015        PMID: 27135799      PMCID: PMC6436090          DOI: 10.1016/j.cels.2015.08.006

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  6 in total

1.  Integration of In Silico and In Vitro Analysis of Gliotoxin Production Reveals a Narrow Range of Producing Fungal Species.

Authors:  Sergio Redrado; Patricia Esteban; María Pilar Domingo; Concepción Lopez; Antonio Rezusta; Ariel Ramirez-Labrada; Maykel Arias; Julián Pardo; Eva M Galvez
Journal:  J Fungi (Basel)       Date:  2022-03-31

2.  Phylo_dCor: distance correlation as a novel metric for phylogenetic profiling.

Authors:  Gabriella Sferra; Federica Fratini; Marta Ponzi; Elisabetta Pizzi
Journal:  BMC Bioinformatics       Date:  2017-09-05       Impact factor: 3.169

3.  Co-evolution based machine-learning for predicting functional interactions between human genes.

Authors:  Doron Stupp; Elad Sharon; Idit Bloch; Marinka Zitnik; Or Zuk; Yuval Tabach
Journal:  Nat Commun       Date:  2021-11-09       Impact factor: 14.919

4.  DEPCOD: a tool to detect and visualize co-evolution of protein domains.

Authors:  Fei Ji; Gracia Bonilla; Rustem Krykbaev; Gary Ruvkun; Yuval Tabach; Ruslan I Sadreyev
Journal:  Nucleic Acids Res       Date:  2022-05-10       Impact factor: 19.160

5.  FEGS: a novel feature extraction model for protein sequences and its applications.

Authors:  Zengchao Mu; Ting Yu; Xiaoping Liu; Hongyu Zheng; Leyi Wei; Juntao Liu
Journal:  BMC Bioinformatics       Date:  2021-06-03       Impact factor: 3.169

6.  The Hierarchical Modular Structure of HER2+ Breast Cancer Network.

Authors:  Sergio Antonio Alcalá-Corona; Jesús Espinal-Enríquez; Guillermo de Anda-Jáuregui; Enrique Hernández-Lemus
Journal:  Front Physiol       Date:  2018-10-11       Impact factor: 4.566

  6 in total

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