Reducing reference usage in detection of regulated RNA processing

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Abstract/Contents

Abstract
RNA sequencing methods have become increasingly sensitive, high-throughput, and cost- effective, resulting in an unprecedented volume of sequencing data accessible to the public. RNA processing events, such as alternative splicing or alternative polyadenylation, leave distinct signatures in RNA-seq reads. However, RNA-seq data is critically underutilized: sequence variation from RNA processing, beyond simple annotated alternative splicing, is most often ignored. We introduce a new statistical method to detect regulated RNA processing from single- cell RNA-seq data, that does not rely on existing gene annotations. Using this method, we detect cell type-specific RNA processing differences in human lung. We also discover developmentally regulated RNA processing changes, including global 3'UTR length changes, in both human spermatogenesis and Arabidopsis thaliana root development. We also demonstrate the use of a fully reference-free statistical method for discovery of regulated sequence variation in plant RNA-seq data. By fully removing the reliance on alignment to detect regulated changes, we can discover condition- and cell type-dependent RNA processing events even when an isoform or entire gene is missing from the reference.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Meyer, Elisabeth
Degree supervisor Salzman, Julia
Thesis advisor Salzman, Julia
Thesis advisor Das, Rhiju
Thesis advisor Gao, Alex
Thesis advisor Straight, Aaron, 1966-
Degree committee member Das, Rhiju
Degree committee member Gao, Alex
Degree committee member Straight, Aaron, 1966-
Associated with Stanford University, School of Medicine
Associated with Stanford University, Department of Biochemistry

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Elisabeth Meyer.
Note Submitted to the Department of Biochemistry.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/wg415sg5199

Access conditions

Copyright
© 2023 by Elisabeth Meyer

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