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...
Autores principales: | , , , |
---|---|
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 |