Literature DB >> 21698752

Proteins with neomorphic moonlighting functions in disease.

Constance J Jeffery1.   

Abstract

One gene can encode multiple protein functions because of RNA splice variants, gene fusions during evolution, promiscuous enzyme activities, and moonlighting protein functions. In addition to these types of multifunctional proteins, in which both functions are considered "normal" functions of a protein, some proteins have been described in which a mutation or conformational change imparts a second function on a protein that is not a "normal" function of the protein. We propose to call these new functions "neomorphic moonlighting functions". The most common examples of neomorphic moonlighting functions are due to conformational changes that impart novel protein-protein interactions resulting in the formation of protein aggregates in Alzheimers, Parkinsons disease, and the systemic amyloidoses. Other changes that can result in a neomorphic moonlighting function include a mutation in SMAD4 that causes the protein to bind to new promoters and thereby alter gene transcription patterns, mutations in two isocitrate dehydrogenase isoforms that impart a new catalytic activity, and mutations in dihydrolipoamide dehydrogenase that activate a hidden protease activity. These neomorphic moonlighting functions were identified because of their connection to disease. In the cases described herein, the new functions cause cancers or severe neurological impairment, although in most cases the mechanism by which the new function leads to disease is unknown.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 21698752     DOI: 10.1002/iub.504

Source DB:  PubMed          Journal:  IUBMB Life        ISSN: 1521-6543            Impact factor:   3.885


  26 in total

Review 1.  Computational characterization of moonlighting proteins.

Authors:  Ishita K Khan; Daisuke Kihara
Journal:  Biochem Soc Trans       Date:  2014-12       Impact factor: 5.407

2.  A novel β-glucosidase with lipolytic activity from a soil metagenome.

Authors:  Cheng-Jian Jiang; Gao Chen; Jie Huang; Qin Huang; Ke Jin; Pei-Hong Shen; Jun-Fang Li; Bo Wu
Journal:  Folia Microbiol (Praha)       Date:  2011-11-25       Impact factor: 2.099

3.  Cryptococcus strains with different pathogenic potentials have diverse protein secretomes.

Authors:  Leona T Campbell; Anna R Simonin; Cuilan Chen; Jannatul Ferdous; Matthew P Padula; Elizabeth Harry; Markus Hofer; Iain L Campbell; Dee A Carter
Journal:  Eukaryot Cell       Date:  2015-04-03

Review 4.  Proteolysis mediated by cysteine cathepsins and legumain-recent advances and cell biological challenges.

Authors:  Klaudia Brix; Joseph McInnes; Alaa Al-Hashimi; Maren Rehders; Tripti Tamhane; Mads H Haugen
Journal:  Protoplasma       Date:  2014-11-16       Impact factor: 3.356

Review 5.  Enzyme complexity in intermediary metabolism.

Authors:  Emile Van Schaftingen; Maria Veiga-da-Cunha; Carole L Linster
Journal:  J Inherit Metab Dis       Date:  2015-02-21       Impact factor: 4.982

6.  Identification of Moonlighting Proteins in Genomes Using Text Mining Techniques.

Authors:  Aashish Jain; Hareesh Gali; Daisuke Kihara
Journal:  Proteomics       Date:  2018-10-10       Impact factor: 3.984

Review 7.  Protein moonlighting: what is it, and why is it important?

Authors:  Constance J Jeffery
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-01-19       Impact factor: 6.237

8.  Protein Moonlighting Revealed by Noncatalytic Phenotypes of Yeast Enzymes.

Authors:  Adriana Espinosa-Cantú; Diana Ascencio; Selene Herrera-Basurto; Jiewei Xu; Assen Roguev; Nevan J Krogan; Alexander DeLuna
Journal:  Genetics       Date:  2017-11-10       Impact factor: 4.562

9.  Missense mutations linked to friedreich ataxia have different but synergistic effects on mitochondrial frataxin isoforms.

Authors:  Hongqiao Li; Oleksandr Gakh; Douglas Y Smith; Wasantha K Ranatunga; Grazia Isaya
Journal:  J Biol Chem       Date:  2012-12-26       Impact factor: 5.157

Review 10.  Mistranslation of the genetic code.

Authors:  Adil Moghal; Kyle Mohler; Michael Ibba
Journal:  FEBS Lett       Date:  2014-09-16       Impact factor: 4.124

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