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Long-read Ribo-STAMP simultaneously measures transcription and translation with isoform resolution.
Jagannatha, Pratibha; Tankka, Alexandra T; Lorenz, Daniel A; Yu, Tao; Yee, Brian A; Brannan, Kristopher W; Zhou, Cathy J; Underwood, Jason G; Yeo, Gene W.
  • Jagannatha P; Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California 92093, USA.
  • Tankka AT; Sanford Stem Cell Institution Innovation Center and Stem Cell Program, University of California San Diego, La Jolla, California 92037, USA.
  • Lorenz DA; Institute for Genomic Medicine, University of California San Diego, La Jolla, California 92093, USA.
  • Yu T; Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California 92093, USA.
  • Yee BA; Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California 92093, USA.
  • Brannan KW; Sanford Stem Cell Institution Innovation Center and Stem Cell Program, University of California San Diego, La Jolla, California 92037, USA.
  • Zhou CJ; Institute for Genomic Medicine, University of California San Diego, La Jolla, California 92093, USA.
  • Underwood JG; Sanford Laboratories for Innovative Medicine, La Jolla, California 92121, USA.
  • Yeo GW; Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California 92093, USA.
Genome Res ; 2024 Oct 25.
Article en En | MEDLINE | ID: mdl-38906680
ABSTRACT
Transcription and translation are intertwined processes in which mRNA isoforms are crucial intermediaries. However, methodological limitations in analyzing translation at the mRNA isoform level have left gaps in our understanding of critical biological processes. To address these gaps, we developed an integrated computational and experimental framework called long-read Ribo-STAMP (LR-Ribo-STAMP) that capitalizes on advancements in long-read sequencing and RNA-base editing-mediated technologies to simultaneously profile translation and transcription at both the gene and mRNA isoform levels. We also developed the EditsC metric to quantify editing and leverage the single-molecule, full-length transcript information provided by long-read sequencing. Here, we report concordance between gene-level translation profiles obtained with long-read and short-read Ribo-STAMP. We show that LR-Ribo-STAMP successfully profiles translation of mRNA isoforms and links regulatory features, such as upstream open reading frames (uORFs), to translation measurements. We apply LR-Ribo-STAMP to discovering translational differences at both the gene and isoform levels in a triple-negative breast cancer cell line under normoxia and hypoxia and find that LR-Ribo-STAMP effectively delineates orthogonal transcriptional and translation shifts between conditions. We also discover regulatory elements that distinguish translational differences at the isoform level. We highlight GRK6, in which hypoxia is observed to increase expression and translation of a shorter mRNA isoform, giving rise to a truncated protein without the AGC Kinase domain. Overall, LR-Ribo-STAMP is an important advance in our repertoire of methods that measures mRNA translation with isoform sensitivity.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article