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Advances in long-read single-cell transcriptomics

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Advances in long-read single-cell transcriptomics
 
Creator Kumari, Pallawi
Kaur, Manmeet
Dindhoria, Kiran
Ashford, Bruce
Amarasinghe, Shanika L.
Thind, Amarinder Singh
 
Subject QR Microbiology
 
Description Long-read single-cell transcriptomics (scRNA-Seq) is revolutionizing the way we profile heterogeneity in disease. Traditional short-read scRNA-Seq methods are limited in their ability to provide complete transcript coverage, resolve isoforms, and identify novel transcripts. The scRNA-Seq protocols developed for long-read sequencing platforms overcome these limitations by enabling the characterization of full-length transcripts. Long-read scRNA-Seq techniques initially suffered from comparatively poor accuracy compared to short read scRNA-Seq. However, with improvements in accuracy, accessibility, and cost efficiency, long-reads are gaining popularity in the field of scRNA-Seq. This review details the advances in long-read scRNA-Seq, with an emphasis on library preparation protocols and downstream bioinformatics analysis tools.
 
Publisher SPRINGER
 
Date 2024
 
Type Article
PeerReviewed
 
Relation https://link.springer.com/article/10.1007/s00439-024-02678-x
http://crdd.osdd.net/open/3136/
 
Identifier Kumari, Pallawi and Kaur, Manmeet and Dindhoria, Kiran and Ashford, Bruce and Amarasinghe, Shanika L. and Thind, Amarinder Singh (2024) Advances in long-read single-cell transcriptomics. HUMAN GENETICS.