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Small open reading frames: a comparative genetics approach to validation.
Jain, Niyati; Richter, Felix; Adzhubei, Ivan; Sharp, Andrew J; Gelb, Bruce D.
Afiliação
  • Jain N; Department of Genetics and Genomic Sciences and Mindich Child Health and Development Institute, Icahn School of Medicine at Mount, Hess Center for Science and Medicine, 1470 Madison Avenue, New York, NY, 10029, USA.
  • Richter F; Present Address: Committee On Genetics, Genomics, and Systems Biology, The University of Chicago, Chicago, IL, USA.
  • Adzhubei I; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Sharp AJ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Gelb BD; Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.
BMC Genomics ; 24(1): 226, 2023 May 01.
Article em En | MEDLINE | ID: mdl-37127568
Open reading frames (ORFs) with fewer than 100 codons are generally not annotated in genomes, although bona fide genes of that size are known. Newer biochemical studies have suggested that thousands of small protein-coding ORFs (smORFs) may exist in the human genome, but the true number and the biological significance of the micropeptides they encode remain uncertain. Here, we used a comparative genomics approach to identify high-confidence smORFs that are likely protein-coding. We identified 3,326 high-confidence smORFs using constraint within human populations and evolutionary conservation as additional lines of evidence. Next, we validated that, as a group, our high-confidence smORFs are conserved at the amino-acid level rather than merely residing in highly conserved non-coding regions. Finally, we found that high-confidence smORFs are enriched among disease-associated variants from GWAS. Overall, our results highlight that smORF-encoded peptides likely have important functional roles in human disease.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Proteínas Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Proteínas Idioma: En Ano de publicação: 2023 Tipo de documento: Article