Cargando…

Specific splice junction detection in single cells with SICILIAN

Precise splice junction calls are currently unavailable in scRNA-seq pipelines such as the 10x Chromium platform but are critical for understanding single-cell biology. Here, we introduce SICILIAN, a new method that assigns statistical confidence to splice junctions from a spliced aligner to improve...

Descripción completa

Detalles Bibliográficos
Autores principales: Dehghannasiri, Roozbeh, Olivieri, Julia Eve, Damljanovic, Ana, Salzman, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339681/
https://www.ncbi.nlm.nih.gov/pubmed/34353340
http://dx.doi.org/10.1186/s13059-021-02434-8
_version_ 1783733641698869248
author Dehghannasiri, Roozbeh
Olivieri, Julia Eve
Damljanovic, Ana
Salzman, Julia
author_facet Dehghannasiri, Roozbeh
Olivieri, Julia Eve
Damljanovic, Ana
Salzman, Julia
author_sort Dehghannasiri, Roozbeh
collection PubMed
description Precise splice junction calls are currently unavailable in scRNA-seq pipelines such as the 10x Chromium platform but are critical for understanding single-cell biology. Here, we introduce SICILIAN, a new method that assigns statistical confidence to splice junctions from a spliced aligner to improve precision. SICILIAN is a general method that can be applied to bulk or single-cell data, but has particular utility for single-cell analysis due to that data’s unique challenges and opportunities for discovery. SICILIAN’s precise splice detection achieves high accuracy on simulated data, improves concordance between matched single-cell and bulk datasets, and increases agreement between biological replicates. SICILIAN detects unannotated splicing in single cells, enabling the discovery of novel splicing regulation through single-cell analysis workflows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02434-8.
format Online
Article
Text
id pubmed-8339681
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-83396812021-08-06 Specific splice junction detection in single cells with SICILIAN Dehghannasiri, Roozbeh Olivieri, Julia Eve Damljanovic, Ana Salzman, Julia Genome Biol Short Report Precise splice junction calls are currently unavailable in scRNA-seq pipelines such as the 10x Chromium platform but are critical for understanding single-cell biology. Here, we introduce SICILIAN, a new method that assigns statistical confidence to splice junctions from a spliced aligner to improve precision. SICILIAN is a general method that can be applied to bulk or single-cell data, but has particular utility for single-cell analysis due to that data’s unique challenges and opportunities for discovery. SICILIAN’s precise splice detection achieves high accuracy on simulated data, improves concordance between matched single-cell and bulk datasets, and increases agreement between biological replicates. SICILIAN detects unannotated splicing in single cells, enabling the discovery of novel splicing regulation through single-cell analysis workflows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02434-8. BioMed Central 2021-08-05 /pmc/articles/PMC8339681/ /pubmed/34353340 http://dx.doi.org/10.1186/s13059-021-02434-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Short Report
Dehghannasiri, Roozbeh
Olivieri, Julia Eve
Damljanovic, Ana
Salzman, Julia
Specific splice junction detection in single cells with SICILIAN
title Specific splice junction detection in single cells with SICILIAN
title_full Specific splice junction detection in single cells with SICILIAN
title_fullStr Specific splice junction detection in single cells with SICILIAN
title_full_unstemmed Specific splice junction detection in single cells with SICILIAN
title_short Specific splice junction detection in single cells with SICILIAN
title_sort specific splice junction detection in single cells with sicilian
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339681/
https://www.ncbi.nlm.nih.gov/pubmed/34353340
http://dx.doi.org/10.1186/s13059-021-02434-8
work_keys_str_mv AT dehghannasiriroozbeh specificsplicejunctiondetectioninsinglecellswithsicilian
AT olivierijuliaeve specificsplicejunctiondetectioninsinglecellswithsicilian
AT damljanovicana specificsplicejunctiondetectioninsinglecellswithsicilian
AT salzmanjulia specificsplicejunctiondetectioninsinglecellswithsicilian