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Discovery of physiological and cancer-related regulators of 3′ UTR processing with KAPAC

3′ Untranslated regions (3' UTRs) length is regulated in relation to cellular state. To uncover key regulators of poly(A) site use in specific conditions, we have developed PAQR, a method for quantifying poly(A) site use from RNA sequencing data and KAPAC, an approach that infers activities of...

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Detalles Bibliográficos
Autores principales: Gruber, Andreas J., Schmidt, Ralf, Ghosh, Souvik, Martin, Georges, Gruber, Andreas R., van Nimwegen, Erik, Zavolan, Mihaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875010/
https://www.ncbi.nlm.nih.gov/pubmed/29592812
http://dx.doi.org/10.1186/s13059-018-1415-3
Descripción
Sumario:3′ Untranslated regions (3' UTRs) length is regulated in relation to cellular state. To uncover key regulators of poly(A) site use in specific conditions, we have developed PAQR, a method for quantifying poly(A) site use from RNA sequencing data and KAPAC, an approach that infers activities of oligomeric sequence motifs on poly(A) site choice. Application of PAQR and KAPAC to RNA sequencing data from normal and tumor tissue samples uncovers motifs that can explain changes in cleavage and polyadenylation in specific cancers. In particular, our analysis points to polypyrimidine tract binding protein 1 as a regulator of poly(A) site choice in glioblastoma. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1415-3) contains supplementary material, which is available to authorized users.