A novel conserved family of Macro-like domains-putative new players in ADP-ribosylation signaling.

Bioinformatics DUF2362 Intellectual disability Macrodomain ADP-ribosilation Novel enzyme families Protein structure prediction Uncharacterized proteins

Journal

PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425

Informations de publication

Date de publication:
2019
Historique:
received: 18 02 2019
accepted: 28 03 2019
entrez: 21 5 2019
pubmed: 21 5 2019
medline: 21 5 2019
Statut: epublish

Résumé

The presence of many completely uncharacterized proteins, even in well-studied organisms such as humans, seriously hampers a full understanding of the functioning of living cells. One such example is the human protein C12ORF4, which belongs to the DUF2362 family, present in many eukaryotic lineages and conserved in metazoans. The only functional information available on C12ORF4 (Chromosome 12 Open Reading Frame 4) is its involvement in mast cell degranulation and its being a genetic cause of autosomal intellectual disability. Bioinformatics analysis of the DUF2362 family provides strong evidence that it is a novel member of the Macro clan/superfamily. Sequence similarity analysis versus other representatives of the Macro superfamily of ADP-ribose-binding proteins and mapping sequence conservation on predicted three-dimensional structure provides hypotheses regarding the molecular function for members of the DUF2362 family. For example, the available functional data suggest a possible role for C12ORF4 in ADP-ribosylation signaling in asthma and related inflammatory diseases. This novel family appears to be a likely novel ADP-ribosylation "reader" and "eraser," a previously unnoticed putative new player in cell signaling by this emerging post-translational modification.

Identifiants

pubmed: 31106069
doi: 10.7717/peerj.6863
pii: 6863
pmc: PMC6500376
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e6863

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

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Auteurs

Małgorzata Dudkiewicz (M)

Department of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences, Warszawa, Poland.

Krzysztof Pawłowski (K)

Department of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences, Warszawa, Poland.
Department of Translational Mecicine, Clinical Sciences, Lund University, Lund, Sweden.

Classifications MeSH