Cargando…

Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision

Recent advances in CRISPR-Cas9 engineering and single-cell assays have enabled the simultaneous measurement of single-cell transcriptomic and phylogenetic profiles. However, there are few computational tools enabling users to integrate and derive insight from a joint analysis of these two modalities...

Descripción completa

Detalles Bibliográficos
Autores principales: Jones, Matthew G., Rosen, Yanay, Yosef, Nir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046453/
https://www.ncbi.nlm.nih.gov/pubmed/35497495
http://dx.doi.org/10.1016/j.crmeth.2022.100200
_version_ 1784695523195748352
author Jones, Matthew G.
Rosen, Yanay
Yosef, Nir
author_facet Jones, Matthew G.
Rosen, Yanay
Yosef, Nir
author_sort Jones, Matthew G.
collection PubMed
description Recent advances in CRISPR-Cas9 engineering and single-cell assays have enabled the simultaneous measurement of single-cell transcriptomic and phylogenetic profiles. However, there are few computational tools enabling users to integrate and derive insight from a joint analysis of these two modalities. Here, we describe “PhyloVision”: an open-source software for interactively exploring data from both modalities and for identifying and interpreting heritable gene modules whose concerted expression are associated with phylogenetic relationships. PhyloVision provides a feature-rich, interactive, and shareable web-based report for investigating these modules while also supporting several other data and meta-data exploration capabilities. We demonstrate the utility of PhyloVision using a published dataset of metastatic lung adenocarcinoma cells, whose phylogeny was resolved using a CRISPR-Cas9-based lineage-tracing system. Together, we anticipate that PhyloVision and the methods it implements will be a useful resource for scalable and intuitive data exploration for any assay that simultaneously measures cell state and lineage.
format Online
Article
Text
id pubmed-9046453
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-90464532022-04-29 Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision Jones, Matthew G. Rosen, Yanay Yosef, Nir Cell Rep Methods Report Recent advances in CRISPR-Cas9 engineering and single-cell assays have enabled the simultaneous measurement of single-cell transcriptomic and phylogenetic profiles. However, there are few computational tools enabling users to integrate and derive insight from a joint analysis of these two modalities. Here, we describe “PhyloVision”: an open-source software for interactively exploring data from both modalities and for identifying and interpreting heritable gene modules whose concerted expression are associated with phylogenetic relationships. PhyloVision provides a feature-rich, interactive, and shareable web-based report for investigating these modules while also supporting several other data and meta-data exploration capabilities. We demonstrate the utility of PhyloVision using a published dataset of metastatic lung adenocarcinoma cells, whose phylogeny was resolved using a CRISPR-Cas9-based lineage-tracing system. Together, we anticipate that PhyloVision and the methods it implements will be a useful resource for scalable and intuitive data exploration for any assay that simultaneously measures cell state and lineage. Elsevier 2022-04-25 /pmc/articles/PMC9046453/ /pubmed/35497495 http://dx.doi.org/10.1016/j.crmeth.2022.100200 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Report
Jones, Matthew G.
Rosen, Yanay
Yosef, Nir
Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision
title Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision
title_full Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision
title_fullStr Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision
title_full_unstemmed Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision
title_short Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision
title_sort interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with phylovision
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046453/
https://www.ncbi.nlm.nih.gov/pubmed/35497495
http://dx.doi.org/10.1016/j.crmeth.2022.100200
work_keys_str_mv AT jonesmatthewg interactiveintegratedanalysisofsinglecelltranscriptomicandphylogeneticdatawithphylovision
AT rosenyanay interactiveintegratedanalysisofsinglecelltranscriptomicandphylogeneticdatawithphylovision
AT yosefnir interactiveintegratedanalysisofsinglecelltranscriptomicandphylogeneticdatawithphylovision