Evidence map›Paper›PMID 39863422›Full record

ArticleFunction (Oxford, England)2025

Mapping Organism-wide Single Cell mRNA Expression Linked to Extracellular Vesicle Biogenesis, Secretion, and Cargo.

Thomas J LaRocca, Daniel S Lark

Abstract read
In one paragraph

Article in Function (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Extracellular vesicles in spine tumors: biological roles, immune modulation, and therapeutic implications.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
  4. Review
  5. Review
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

2 authors.

Thomas J LaRoccaDepartment of Health and Exercise Science, College of Health and Human Sciences, Colorado State University, Fort Collins, CO 80521, USA.
Daniel S LarkDepartment of Health and Exercise Science, College of Health and Human Sciences, Colorado State University, Fort Collins, CO 80521, USA.ORCID 0000-0001-8386-8478

Funding

Age-related repetitive element dysregulation, neuroinflammation and Alzheimer's diseaseR01AG078859 · NIA · COLORADO STATE UNIVERSITY · PI Thomas LaRocca · 2022 to 2026
$1.9M
Targeting age-related endosome dysfunction to treat cognitive decline and Alzheimer's diseaseR21AG085586 · NIA · COLORADO STATE UNIVERSITY · PI LARK, DANIEL, LAROCCA, THOMAS · 2024 to 2025
$422k
American Heart Association IPA1834110052National Institutes of Aging AG078859NIA NIH HHS R01 AG078859NIA NIH HHS R21 AG085586
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are functional lipid-bound nanoparticles trafficked between cells and found in every biofluid. It is widely claimed that EVs can be secreted by every cell, but the quantity and composition of these EVs can differ greatly among cell types and tissues. Defining this heterogeneity has broad implications for EV-based communication in health and disease. Recent discoveries have linked single-cell EV secretion to the expression of genes encoding EV machinery and cargo. To gain insight at single-cell resolution across an entire organism, we compared the abundance, variance, and co-expression of 67 genes involved in EV biogenesis and secretion, or carried as cargo, across >44 000 cells obtained from 117 cell populations in the Tabula Muris. Our analysis provides both novel holistic and cell population-specific insight into EV biology. The highest overall expression of EV genes occurs in secretory cells of the pancreas and perhaps more surprisingly, multiple non-neuronal cell populations of the brain. We find that the most abundant EV genes encode the most abundant EV cargo proteins (tetraspanins and syndecans), but these genes are highly differentially expressed across functionally distinct cell populations. Expression variance identifies dynamic and constitutively expressed EV genes while co-expression analysis reveals novel insights into cell population-specific coordination of expression. Results of our analysis illustrate the diverse transcriptional regulation of EV genes which could be useful for predicting how individual cell populations might communicate via EVs to influence health and disease.

Indexed as

Extracellular VesiclesOrganelle BiogenesisSingle-Cell Gene Expression AnalysisAnimalsMiceRNA, MessengerRNA, Messengercell atlasendocrineexosomeextracellular vesiclesecretionsingle celltetraspanin

Identifiers

PMID39863422
PMCPMC11931722

What OpenQuestion holds

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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.