Evidence map›Paper›PMID 39327003›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2024

G-Protein Signaling in Alzheimer's Disease: Spatial Expression Validation of Semi-supervised Deep Learning-Based Computational Framework.

Daniel F Zhang, Timothy Penwell, Yan-Hua Chen, Addison Koehler, Rui Wu, Shayan Nik Akhtar, Qun Lu

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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.

Daniel F ZhangDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834.
Timothy PenwellDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834.
Yan-Hua ChenDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834.
Addison KoehlerDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834.
Rui WuDepartment of Computer Science, College of Engineering and Technology, East Carolina University, Greenville, North Carolina 27858.
Shayan Nik AkhtarDepartment of Chemistry and Biochemistry, The University of South Carolina, Columbia, South Carolina 29208.ORCID 0009-0001-5435-9241
Qun LuDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834 qun@mailbox.sc.edu.

Funding

Homeostatic Reset as a New Therapeutic Paradigm for Slow Progression DiseasesR01GM146257 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LU, QUN · 2021 to 2025
$3.4M
NIGMS NIH HHS R01 GM146257
6 · The paper itself

Abstract

Systemic study of pathogenic pathways and interrelationships underlying genes associated with Alzheimer's disease (AD) facilitates the identification of new targets for effective treatments. Recently available large-scale multiomics datasets provide opportunities to use computational approaches for such studies. Here, we devised a novel

Indexed as

Alzheimer DiseaseDeep LearningMice, TransgenicAmyloid beta-Protein PrecursorAnimalsBrainComputational BiologyFemaleGTP-Binding ProteinsHumansMaleMiceProtein Interaction MapsSignal TransductionSupervised Machine LearningAmyloid beta-Protein PrecursorGTP-Binding ProteinsAlzheimer’s diseaseG-protein signalingmachine learningmultiomicssemi-supervisedSTORM

Identifiers

PMID39327003
PMCPMC11551890

What OpenQuestion holds

Textmetadata
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.