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dc.contributor.author나승진-
dc.date.accessioned2021-10-25T00:53:57Z-
dc.date.available2021-10-25T00:53:57Z-
dc.date.issued2020-01-
dc.identifier.citationJOURNAL OF PROTEOME RESEARCH, v. 19, no. 1, page. 212-220en_US
dc.identifier.issn1535-3893-
dc.identifier.issn1535-3907-
dc.identifier.urihttps://pubs.acs.org/doi/10.1021/acs.jproteome.9b00498-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/165673-
dc.description.abstractRecent sequencing technologies have highlighted translation of untranslated regions (UTRs) in genomes, although it remains unknown whether the translated products persist in a cell. Here, we propose a proteogenomic approach to UTR identification at the proteome level, which has been challenging due to the lack of corresponding sequences required for peptide spectrum matching. We address the challenge with constructing translated UTR (tUTR) database, consisting of all hypothetical sequences that can be translated from UTR by assuming non-AUG initiation at near-cognate start codons and stop codon readthrough. In the analysis of the H1299 cell line mass spectrometry (MS/MS) dataset, the tUTR DB-based proteogenomic approach enabled the detection of 52 5'-UTR and 9 3'-UTR peptides from 45 and 9 genes, respectively. The identified UTR peptides were validated via high spectral similarity with their synthetic peptides. The 5'-UTR peptides pointed out alternative initiation sites with non-AUG start codons, which exactly conformed to Kozak contexts of annotated initiation sites. It is also worth noting that our approach can detect translated amino acid sequences as well as provide evidence for UTR translation, while ribosome profiling provides only the translation evidence. For previously reported stop codon readthrough in MDH1 gene, we could confirm the amino acid inserted during the readthrough.en_US
dc.description.sponsorshipThis research was supported by the National Research Foundation of Korea [NRF-2017M3C9A5031597, NRF-2018R1A4A1025985, and NRF-2017M3A9F9030559] and the BK21 plus program through the National Research Foundation funded by the Ministry of Education of Korea.en_US
dc.language.isoenen_US
dc.publisherAMER CHEMICAL SOCen_US
dc.subjectproteogenomicsen_US
dc.subjectpeptide identificationen_US
dc.subjecttandem mass spectrometryen_US
dc.subjectuntranslated regionsen_US
dc.subjectnon-AUG start codonsen_US
dc.subjecttranslational readthroughen_US
dc.titleProteogenomic Approach to UTR Peptide Identificationen_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume19-
dc.identifier.doi10.1021/acs.jproteome.9b00498-
dc.relation.page212-220-
dc.relation.journalJOURNAL OF PROTEOME RESEARCH-
dc.contributor.googleauthorChoi, Seunghyuk-
dc.contributor.googleauthorJu, Shinyeong-
dc.contributor.googleauthorLee, Jinwon-
dc.contributor.googleauthorNa, Seungjin-
dc.contributor.googleauthorLee, Cheolju-
dc.contributor.googleauthorPaek, Eunok-
dc.relation.code2020045840-
dc.sector.campusS-
dc.sector.daehakRESEARCH INSTITUTE[S]-
dc.sector.departmentINSTITUTION FOR ARTIFICIAL INTELLIGENCE RESEARCH HY_AIR-
dc.identifier.pidsna-
dc.identifier.orcidhttps://orcid.org/0000-0002-5159-2048-
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