Unification of species, gene, and cell trees for single-cell expression analyses

TL;DR

This paper introduces a tree-based framework for comparing single-cell RNA sequencing data across species, leveraging phylogenetic trees to understand cellular gene expression evolution and improve cross-species analyses.

Contribution

It presents a novel phylogenetic approach to compare scRNA-seq data, integrating species, gene, and cell trees to enhance evolutionary insights in single-cell studies.

Findings

Framework enables identification of homologous genes and cells across species.

Mapping data to phylogenetic tree branches tests hypotheses about gene expression evolution.

Reconciliation of different phylogenies unifies concepts of cellular evolution.

Abstract

Comparisons of single-cell RNA sequencing (scRNA-seq) data across species can reveal links between cellular gene expression and the evolution of cell functions, features, and phenotypes. These comparisons invoke evolutionary histories, as depicted with phylogenetic trees, that define relationships between species, genes, and cells. Here we illustrate a tree-based framework for comparing scRNA-seq data, and contrast this framework with existing methods. We describe how we can use trees to identify homologous and comparable groups of genes and cells, based on their predicted relationship to genes and cells present in the common ancestor. We advocate for mapping data to branches of phylogenetic trees to test hypotheses about the evolution of cellular gene expression. We describe the kinds of data that can be compared, and the types of questions that each comparison has the potential to address. Finally, we reconcile species phylogenies, gene phylogenies, cell phylogenies, and cell lineages as different representations of the same concept: the tree of cellular life. By integrating phylogenetic approaches into scRNA-seq analyses, we can overcome challenges for building informed comparisons across species, and robustly test hypotheses about gene and cell evolution.