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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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 |
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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 |
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