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

Matthew G. Jones, Yanay Rosen, Nir Yosef*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number100200
JournalCell Reports Methods
Volume2
Issue number4
DOIs
Publication statusPublished - 25 Apr 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 The Author(s)

Keywords

  • cancer
  • lineage tracing
  • metastasis
  • phylogenetics
  • single-cell RNA-seq
  • software
  • web-based tools

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