Evidence map›Paper›PMID 38787797›Full record

ArticlePLoS biology2024

Integrating phylogenies into single-cell RNA sequencing analysis allows comparisons across species, genes, and cells.

Samuel H Church, Jasmine L Mah, Casey W Dunn

Abstract readComparative Study
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Samuel H ChurchDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-8451-103X
Jasmine L MahDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.
Casey W DunnDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.

Funding

National Science Foundation 2109502Yale Institute of Biospheric Studies
6 · The paper itself

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 evoke evolutionary histories, as depicted by phylogenetic trees, that define relationships between species, genes, and cells. This Essay considers each of these in turn, laying out challenges and solutions derived from a phylogenetic comparative approach and relating these solutions to previously proposed methods for the pairwise alignment of cellular dimensional maps. This Essay contends that species trees, gene trees, cell phylogenies, and cell lineages can all be reconciled as descriptions of the same concept-the tree of cellular life. By integrating phylogenetic approaches into scRNA-seq analyses, challenges for building informed comparisons across species can be overcome, and hypotheses about gene and cell evolution can be robustly tested.

Indexed as

PhylogenySequence Analysis, RNASingle-Cell AnalysisAnimalsCell LineageEvolution, MolecularHumansSpecies Specificity

Identifiers

PMID38787797
PMCPMC11125556

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.