Evidence map›Paper›PMID 41426962›Full record

ArticlemicroPublication biology2025

CeSTAAN: An atlas of

Jonathan St Ange, Henry Langmack, Coleen T Murphy

Abstract read
In one paragraph

Article in microPublication biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The extracellular matrix genebioRxiv : the preprint server for biology · 2026
    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

3 authors.

Jonathan St AngeLSI Genomics, Molecular Biology, Princeton University, Princeton, New Jersey, United States.
Henry LangmackPrinceton High School, Princeton New Jersey.
Coleen T MurphyLSI Genomics, Molecular Biology, Princeton University, Princeton, New Jersey, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-sequencing provides rich transcriptomic data about cell types, and new methods allow characterization at the single-cell level. For neurons, single-nucleus RNA sequencing (snSeq) is the gold standard, as this technique retains neuron identity. We carried out snSeq on sorted nuclei from

Identifiers

PMID41426962
PMCPMC12714335

What OpenQuestion 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 OpenQuestion graph.