Evidence map›Paper›PMID 39589716›Full record

ReviewAdvances in neurobiology2024

Multilayer Analysis of RNA Sequencing Data in Alzheimer's Disease to Unravel Molecular Mysteries.

Dilara Uzuner, Atılay İlgün, Elif Düz, Fatma Betül Bozkurt, Tunahan Çakır

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in neurobiology, 2024. 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. 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

5 authors.

Dilara UzunerDepartment of Bioengineering, Gebze Technical University, Gebze, Kocaeli, Turkey.
Atılay İlgünDepartment of Bioengineering, Gebze Technical University, Gebze, Kocaeli, Turkey.
Elif DüzDepartment of Bioengineering, Gebze Technical University, Gebze, Kocaeli, Turkey.
Fatma Betül BozkurtDepartment of Bioengineering, Gebze Technical University, Gebze, Kocaeli, Turkey.
Tunahan ÇakırDepartment of Bioengineering, Gebze Technical University, Gebze, Kocaeli, Turkey. tcakir@gtu.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a complex disease, and numerous cellular events may be involved in etiology. RNAseq-based transcriptome data hold multilayer information content, which could be crucial in unraveling molecular mysteries of AD. It enables quantification of gene expression levels, identification of genomic variants, and elucidation of splicing anomalies such as exon skipping and intron retention. Additional integration of this information into protein-protein interaction networks and genome-scale metabolic models from the literature has potential to decipher functional modules and affected mechanisms for complex scenarios such as AD. In this chapter, we review the application areas of the multilayer content of RNAseq and associated integrative approaches available, with a special focus on AD.

Indexed as

Alzheimer DiseaseSequence Analysis, RNATranscriptomeHumansAlzheimer’s diseaseGene expressionGenome-scale metabolic modelsGenomic variantsProtein-protein interactionsRNAseqSplicing events

Identifiers

PMID39589716

What OpenQuestion holds

Textmetadata
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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.