Evidence map›Paper›PMID 40722679›Full record

ArticleBiomedicines2025

Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression.

Jialu Ma, Caleb McQuay, John Talburt, Amit K Tiwari, Mary Qu Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 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. 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

5 authors.

Jialu MaMidSouth Bioinformatics Center and Joint Bioinformatics Graduate Program, University of Arkansas at Little Rock, Little Rock, AR 72204, USA.
Caleb McQuayComputer Science, University of Arkansas at Little Rock, Little Rock, AR 72204, USA.
John TalburtInformation Science, University of Arkansas at Little Rock, Little Rock, AR 72204, USA.ORCID 0000-0003-1004-0965
Amit K TiwariDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0002-7427-7155
Mary Qu YangMidSouth Bioinformatics Center and Joint Bioinformatics Graduate Program, University of Arkansas at Little Rock, Little Rock, AR 72204, USA.

Funding

DEVELOP NOVEL DEEP LEARNING AND COMBINATORIAL OPTIMIZATION METHODS TO IDENTIFY KEY DISEASE REGULATORY ELEMENTS FOR SINGLE-CELL DATAR15GM137288 · NIGMS · UNIVERSITY OF ARKANSAS AT LITTLE ROCK · PI YANG, MARY · 2020 to 2020
$444k
Arkansas Research Alliance Research awardNational Institutes of Health, USA P20GM103429National Institutes of Health, USA R15GM137288National Science Foundation OIA-1946391NIGMS NIH HHS R15 GM137288
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

lung adenocarcinoma progressionsignaling pathwayssingle-cell RNA sequencingtranscription regulator

Identifiers

PMID40722679
PMCPMC12292084

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.