Literature DB >> 28097686

Context characterization of amino acid homorepeats using evolution, position, and order.

Pablo Mier1,2, Gregorio Alanis-Lobato1,2, Miguel A Andrade-Navarro1,2.   

Abstract

Amino acid repeats, or homorepeats, are low complexity protein motifs consisting of tandem repetitions of a single amino acid. Their presence and relative number vary in different proteomes, and some studies have tried to address this variation, proteome by proteome. In this work, we present a full characterization of amino acid homorepeats across evolution. We studied the presence and differential usage of each possible homorepeat in proteomes from various taxonomic groups, using clusters of very similar proteins to eliminate redundancy. The position of each amino acid repeat within proteins, and the order of co-occurring amino acid repeats were also addressed. As a result, we present evidence about the unevenly evolution of homorepeats, as well as the functional implications of their relative position in proteins. We discuss some of these cases in their taxonomic context. Collectively, our results show evolutionary and positional signals that suggest that homorepeats have biological function, likely creating unspecific protein interactions or modulating specific interactions in a context dependent manner. In conclusion, our work supports the functional importance of homorepeats and establishes a basis for the study of other low complexity repeats. Proteins 2017; 85:709-719.
© 2016 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Keywords:  amino acid repeat; computational biology; data mining; evolutionary analysis; polyX

Mesh:

Substances:

Year:  2017        PMID: 28097686     DOI: 10.1002/prot.25250

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  14 in total

1.  MIPPIE: the mouse integrated protein-protein interaction reference.

Authors:  Gregorio Alanis-Lobato; Jannik S Möllmann; Martin H Schaefer; Miguel A Andrade-Navarro
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

2.  PolyX2: Fast Detection of Homorepeats in Large Protein Datasets.

Authors:  Pablo Mier; Miguel A Andrade-Navarro
Journal:  Genes (Basel)       Date:  2022-04-25       Impact factor: 4.141

3.  Homopeptide and homocodon levels across fungi are coupled to GC/AT-bias and intrinsic disorder, with unique behaviours for some amino acids.

Authors:  Yue Wang; Paul M Harrison
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

4.  Amino acid repeats avert mRNA folding through conservative substitutions and synonymous codons, regardless of codon bias.

Authors:  Sailen Barik
Journal:  Heliyon       Date:  2017-12-28

5.  Glutamine Codon Usage and polyQ Evolution in Primates Depend on the Q Stretch Length.

Authors:  Pablo Mier; Miguel A Andrade-Navarro
Journal:  Genome Biol Evol       Date:  2018-03-01       Impact factor: 3.416

6.  The features of polyglutamine regions depend on their evolutionary stability.

Authors:  Pablo Mier; Miguel A Andrade-Navarro
Journal:  BMC Evol Biol       Date:  2020-05-24       Impact factor: 3.260

Review 7.  Intrinsic Disorder in Proteins with Pathogenic Repeat Expansions.

Authors:  April L Darling; Vladimir N Uversky
Journal:  Molecules       Date:  2017-11-24       Impact factor: 4.411

8.  Disentangling the complexity of low complexity proteins.

Authors:  Pablo Mier; Lisanna Paladin; Stella Tamana; Sophia Petrosian; Borbála Hajdu-Soltész; Annika Urbanek; Aleksandra Gruca; Dariusz Plewczynski; Marcin Grynberg; Pau Bernadó; Zoltán Gáspári; Christos A Ouzounis; Vasilis J Promponas; Andrey V Kajava; John M Hancock; Silvio C E Tosatto; Zsuzsanna Dosztanyi; Miguel A Andrade-Navarro
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

9.  Polylysine is a Proteostasis Network-Engaging Structural Determinant.

Authors:  Wei-Han Lang; Giulia Calloni; R Martin Vabulas
Journal:  J Proteome Res       Date:  2018-04-25       Impact factor: 4.466

10.  Compound Dynamics and Combinatorial Patterns of Amino Acid Repeats Encode a System of Evolutionary and Developmental Markers.

Authors:  Ilaria Pelassa; Marica Cibelli; Veronica Villeri; Elena Lilliu; Serena Vaglietti; Federica Olocco; Mirella Ghirardi; Pier Giorgio Montarolo; Davide Corà; Ferdinando Fiumara
Journal:  Genome Biol Evol       Date:  2019-11-01       Impact factor: 3.416

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