Evidence map›Paper›PMID 38280860›Full record

ArticleNature communications2024

Trajectory inference across multiple conditions with condiments.

Hector Roux de Bézieux, Koen Van den Berge, Kelly Street, Sandrine Dudoit

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  6. Local and circulating cytotoxic CD4medRxiv : the preprint server for health sciences · 2026
    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

4 authors.

Hector Roux de BézieuxDivision of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA.ORCID 0000-0002-1489-8339
Koen Van den BergeDepartment of Statistics, University of California, Berkeley, CA, USA.ORCID 0000-0002-1833-8478
Kelly Street *Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA. kelly.street@usc.edu.ORCID 0000-0001-6379-5013
Sandrine Dudoit *Division of Biostatistics, School of Public Health, University of California, Berkeley, CA, USA. sandrine@stat.berkeley.edu.ORCID 0000-0002-6069-8629

Funding

Supplement for Programs of Gene Expression in Olfactory NeurogenesisR01DC007235 · NIDCD · UNIVERSITY OF CALIFORNIA BERKELEY · PI DUDOIT, SANDRINE · 2005 to 2022
$6.6M
NIDCD NIH HHS R01 DC007235
6 · The paper itself

Abstract

In single-cell RNA sequencing (scRNA-Seq), gene expression is assessed individually for each cell, allowing the investigation of developmental processes, such as embryogenesis and cellular differentiation and regeneration, at unprecedented resolution. In such dynamic biological systems, cellular states form a continuum, e.g., for the differentiation of stem cells into mature cell types. This process is often represented via a trajectory in a reduced-dimensional representation of the scRNA-Seq dataset. While many methods have been suggested for trajectory inference, it is often unclear how to handle multiple biological groups or conditions, e.g., inferring and comparing the differentiation trajectories of wild-type and knock-out stem cell populations. In this manuscript, we present condiments, a method for the inference and downstream interpretation of cell trajectories across multiple conditions. Our framework allows the interpretation of differences between conditions at the trajectory, cell population, and gene expression levels. We start by integrating datasets from multiple conditions into a single trajectory. By comparing the cell's conditions along the trajectory's path, we can detect large-scale changes, indicative of differential progression or fate selection. We also demonstrate how to detect subtler changes by finding genes that exhibit different behaviors between these conditions along a differentiation path.

Indexed as

Single-Cell AnalysisStem CellsCell DifferentiationCondimentsEmbryonic DevelopmentGene Expression ProfilingSequence Analysis, RNA

Identifiers

PMID38280860
PMCPMC10821945

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Registered trials

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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.