creators_name: Kumari, Pallawi
creators_name: Kaur, Manmeet
creators_name: Dindhoria, Kiran
creators_name: Ashford, Bruce
creators_name: Amarasinghe, Shanika L.
creators_name: Thind, Amarinder Singh
type: article
datestamp: 2024-06-25 03:53:09
lastmod: 2024-06-25 03:53:09
metadata_visibility: show
title: Advances in long-read single-cell transcriptomics
ispublished: pub
subjects: QR
note: The copyright of this article belongs to SPRINGER 
abstract: 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.
date: 2024
date_type: published
publication: HUMAN GENETICS
publisher: SPRINGER 
id_number: 10.1007/s00439-024-02678-x Abstract
refereed: TRUE
official_url: https://link.springer.com/article/10.1007/s00439-024-02678-x
citation:   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.