Evidence map›Paper›PMID 37503246›Full record

ArticlebioRxiv : the preprint server for biology2024

Stem cell transcriptional profiles from mouse subspecies reveal

Noah M Simon, Yujin Kim, Diana M Bautista, James R Dutton, Rachel B Brem

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Noah M Simon
Yujin Kim
Diana M BautistaORCID 0000-0002-6809-8951
James R Dutton
Rachel B Brem
University of Minnesota · USBuck Institute for Research on Aging · USUniversity of California, Berkeley · USUniversity of Southern California · US

Funding

Mapping deep evolutionary divergences in cellular models of stress responseR01GM120430 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BREM, RACHEL BETH · 2017 to 2025
$3.9M
Genetic dissection of trait variation between long-diverged mouse speciesR01NS116992 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BAUTISTA, DIANA MICHELE, BREM, RACHEL BETH · 2019 to 2023
$3.8M
NIGMS NIH HHS R01 GM120430NINDS NIH HHS R01 NS116992
6 · The paper itself

Abstract

A key goal of evolutionary genomics is to harness molecular data to draw inferences about selective forces that have acted on genomes. The field progresses in large part through the development of advanced molecular-evolution analysis methods. Here we explored the intersection between classical sequence-based tests for selection and an empirical expression-based approach, using stem cells from

Identifiers

PMID37503246
PMCPMC10370129
OpenAlexW4384822891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.