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
Number of pages14
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