Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 28, 2026Genomics Proteomics & BioinformaticsOpen Access

Unraveling the Phylogenetic Signal of Gene Expression from Single-cell RNA-seq Data

View Full Paper
Ask AI
Bookmark
Share

Authors

JAJoão M. AlvesGalicia Sur Biomedical FoundationLTLaura TomásGalicia Sur Biomedical FoundationDPDavid PosadaGalicia Sur Biomedical Foundation

Discussion

Loading...

Member takes

Implication

Analysis evaluates genotype calling strategies from single-cell RNA-seq data, implying insights into cancer genetics.

Key Points

  • The research aims to assess different strategies for identifying single-nucleotide variants in scRNA-seq data to evaluate their phylogenetic relevance.
  • Evaluated six strategies for calling single-nucleotide variants from scRNA-seq data.
  • Analyzed 381 single-cell transcriptomes from five cancer patients.
  • Focused on assessing inferred genotypes in relation to phylogenetic analysis.
  • Found that scAllele, Monopogen, and Monovar provided reliable genotype calls.
  • Identified a strong phylogenetic signal associated with cell cycle-related genes in one patient.
  • Demonstrated the potential of scRNA-seq in inferring evolutionary dynamics of tumor cells.

Cite This Study

Alves et al. (2026) studied this question.

synapsesocial.com/papers/69a287130a974eb0d3c0281fhttps://doi.org/10.1093/gpbjnl/qzag017
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Unraveling the phylogenetic signal of gene expression from single-cell RNA-seq data2024
  2. 2Phylogenetic tree inference from single-cell RNA sequencing data2025
  3. 3Integrating phylogenies into single-cell RNA sequencing analysis allows comparisons across species, genes, and cells2024 · 14 citations
  4. 4Reconstruction of cell diversity and cell lineages from somatic mutations in single-cell transcriptomic data2026
  5. 5Advances and challenges in single-cell RNA sequencing data analysis: a comprehensive review2026 · 23 citations