{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Verma P"],"funding":["Indian Institute of Science Education and Research Mohali; Bioinformatics Center, Department of Biotechnology under the Ministry of Science and Technology, Government of India","National Network Project, Department of Biotechnology under the Ministry of Science and Technology, Government of India"],"pagination":["1440-1455"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12129085"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["35(6)"],"pubmed_abstract":["Isoform diversity is known to enhance a gene's functional repertoire by producing protein variants with distinct functional implications. Despite numerous studies on transcriptome diversifying processes (alternative splicing/transcription), understanding their extent and correlated impact on proteome diversity remains limited owing to dearth of subsequent proteogenomic consequences. To coalesce the genomic information embedded in exons with isoform sequences, we present an innovative framework, \"Exon Nomenclature And Classification of Transcripts\" (ENACT). This centralizes exonic loci such that protein sequence information is integrated (onto the available/annotated or new transcripts) while enabling tracking and assessing splice-site variability through unique yielded descriptors. The res"],"journal":["Genome research"],"pubmed_title":["Exon Nomenclature And Classification of Transcripts (ENACT) provides a systematic framework to annotate exon attributes."],"pmcid":["PMC12129085"],"funding_grant_id":["BT/PR40198/BTIS/137/56/2023","BT/PR40419/BTIS/137/36/2022"],"pubmed_authors":["Thakur D","Awasthi D","Verma P","Pandit SB"],"additional_accession":[]},"is_claimable":false,"name":"Exon Nomenclature And Classification of Transcripts (ENACT) provides a systematic framework to annotate exon attributes.","description":"Isoform diversity is known to enhance a gene's functional repertoire by producing protein variants with distinct functional implications. Despite numerous studies on transcriptome diversifying processes (alternative splicing/transcription), understanding their extent and correlated impact on proteome diversity remains limited owing to dearth of subsequent proteogenomic consequences. To coalesce the genomic information embedded in exons with isoform sequences, we present an innovative framework, \"Exon Nomenclature And Classification of Transcripts\" (ENACT). This centralizes exonic loci such that protein sequence information is integrated (onto the available/annotated or new transcripts) while enabling tracking and assessing splice-site variability through unique yielded descriptors. The res","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jun","modification":"2026-06-06T07:19:11.931Z","creation":"2026-06-06T03:06:53.434Z"},"accession":"S-EPMC12129085","cross_references":{"pubmed":["40335152"],"doi":["10.1101/gr.279878.124"]}}