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

Matthew G. Jones, Yanay Rosen, Nir Yosef

Research output: Contribution to journalArticlepeer-review

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
StatePublished - 25 Apr 2022
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Genetics
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Biochemistry
  • Radiology Nuclear Medicine and imaging
  • Biotechnology
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision'. Together they form a unique fingerprint.

Cite this