Evidence map›Paper›PMID 40333969›Full record

ArticleScience advances2025

Allometry of cell types in planarians by single-cell transcriptomics.

Elena Emili, Alberto Pérez-Posada, Virginia Vanni, David Salamanca-Díaz, Dianalí Ródriguez-Fernández, Maria D Christodoulou, Jordi Solana

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. The Sensory Basis of Planarian Behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

7 authors.

Elena EmiliDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.ORCID 0000-0001-6779-1378
Alberto Pérez-PosadaDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.ORCID 0000-0003-0840-7713
Virginia VanniDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.ORCID 0000-0001-6886-3273
David Salamanca-DíazLiving Systems Institute, University of Exeter, Exeter, UK.ORCID 0000-0003-2082-3939
Dianalí Ródriguez-FernándezDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.ORCID 0000-0003-0404-349X
Maria D ChristodoulouDepartment of Statistics, University of Oxford, Oxford, UK.ORCID 0000-0003-0968-2311
Jordi SolanaDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, UK.ORCID 0000-0002-6770-3929

Funding

Biotechnology and Biological Sciences Research Council BB/T008784/1Biotechnology and Biological Sciences Research Council BB/V014447/1Medical Research Council MR/S007849/1Medical Research Council MR/W017539/1
6 · The paper itself

Abstract

Allometry explores the relationship between an organism's body size and its various components, offering insights into ecology, physiology, metabolism, and disease. The cell is the basic unit of biological systems, and yet the study of cell-type allometry remains relatively unexplored. Single-cell RNA sequencing (scRNA-seq) provides a promising tool for investigating cell-type allometry. Planarians, capable of growing and degrowing following allometric scaling rules, serve as an excellent model for these studies. We used scRNA-seq to examine cell-type allometry in asexual planarians of different sizes, revealing that they consist of the same basic cell types but in varying proportions. Notably, the gut basal cells are the most responsive to changes in size, suggesting a role in energy storage. We capture the regulated gene modules of distinct cell types in response to body size. This research sheds light on the molecular and cellular aspects of cell-type allometry in planarians and underscores the utility of scRNA-seq in these investigations.

Indexed as

Gene Expression ProfilingPlanariansSingle-Cell AnalysisTranscriptomeAnimalsBody SizeSequence Analysis, RNA

Identifiers

PMID40333969
PMCPMC12057665

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.