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A ligation-independent sequencing method reveals tRNA-derived RNAs with blocked 3' termini.
Scacchetti, Alessandro; Shields, Emily J; Trigg, Natalie A; Wilusz, Jeremy E; Conine, Colin C; Bonasio, Roberto.
Afiliação
  • Scacchetti A; Epigenetics Institute and Department of Cell and Developmental Biology; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Shields EJ; Epigenetics Institute and Department of Cell and Developmental Biology; University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Trigg NA; Department of Urology and Institute of Neuropathology, Medical Center-University of Freiburg, 79106 Freiburg, Germany.
  • Wilusz JE; Departments of Genetics and Pediatrics - Penn Epigenetics Institute, Institute of Regenerative Medicine, and Center for Research on Reproduction and Women's Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Conine CC; Division of Neonatology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Bonasio R; Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA.
bioRxiv ; 2023 Jun 08.
Article em En | MEDLINE | ID: mdl-37333231
ABSTRACT
Despite the numerous sequencing methods available, the vast diversity in size and chemical modifications of RNA molecules makes the capture of the full spectrum of cellular RNAs a difficult task. By combining quasi-random hexamer priming with a custom template switching strategy, we developed a method to construct sequencing libraries from RNA molecules of any length and with any type of 3' terminal modification, allowing the sequencing and analysis of virtually all RNA species. Ligation-independent detection of all types of RNA (LIDAR) is a simple, effective tool to comprehensively characterize changes in small non-coding RNAs and mRNAs simultaneously, with performance comparable to separate dedicated methods. With LIDAR, we comprehensively characterized the coding and non-coding transcriptome of mouse embryonic stem cells, neural progenitor cells, and sperm. LIDAR detected a much larger variety of tRNA-derived RNAs (tDRs) compared to traditional ligation-dependent sequencing methods, and uncovered the presence of tDRs with blocked 3' ends that had previously escaped detection. Our findings highlight the potential of LIDAR to systematically detect all RNAs in a sample and uncover new RNA species with potential regulatory functions.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article