Evidence map›Paper›PMID 38534018›Full record

ReviewAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Gene networks and systems biology in Alzheimer's disease: Insights from multi-omics approaches.

Negin Rahimzadeh, Shushrruth Sai Srinivasan, Jing Zhang, Vivek Swarup

Open access · hybridAbstract readReview
In one paragraph

Review in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Genetic Burden andJournal of personalized medicine · 2026
    Article
  6. Review
  7. Article
  8. Article
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  10. Review
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  13. Review
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  20. Gene networks and systems biology in Alzheimer's disease: Insights from multi-omics approaches.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

4 authors at 1 institution in 1 country.

Negin RahimzadehMathematical, Computational, and Systems Biology (MCSB) Program, University of California Irvine, Irvine, California, USA.
Shushrruth Sai SrinivasanMathematical, Computational, and Systems Biology (MCSB) Program, University of California Irvine, Irvine, California, USA.
Jing ZhangDepartment of Computer Science, University of California, Irvine, California, USA.
Vivek SwarupDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, California, USA.ORCID 0000-0003-3762-2746
University of California, Irvine · US

Funding

UC Irvine MODEL-ADU54AG054349 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI FRANK M LAFERLA · 2017 to 2026
$71.9M
Interpretable Deep Learning Methods to Investigate Genetics and Epigenetics of Alzheimer's Disease at a Single-Cell ResolutionR01NS128523 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI JING ZHANG · 2022 to 2026
$3.2M
Mentor Training to enhance mentorship in an interdisciplinary training programT32GM136624 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Arthur D Lander, Qing Nie · 2020 to 2026
$3.1M
Molecular Markers of Cerebrovascular Pathologies in Alzheimer's Disease and Related DementiasR01NS135556 · NINDS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Denes V. Agoston, ANDRE OBENAUS · 2023 to 2026
$2.4M
Oligodendrocyte heterogeneity in Alzheimer' s diseaseRF1AG071683 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI SWARUP, VIVEK, ZHANG, JING · 2021 to 2024
$2.2M
Oligodendrocyte heterogeneity in Alzheimer' s diseaseR01AG071683 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI SWARUP, VIVEK · 2024 to 2025
$1.2M
Adelson Medical Research Foundation fundsNational Institute of Health R01NS128523National Institute of Health (NIH) Institutional National Research Service Award 1T32GM136624-01National Institutes on Aging 1RF1AG071683National Institutes on Aging U54 AG054349-06NIA NIH HHS R01 AG071683NIA NIH HHS RF1 AG071683NIA NIH HHS U54 AG054349NIGMS NIH HHS T32 GM136624NINDS NIH HHS R01 NS128523NINDS NIH HHS R01 NS135556
6 · The paper itself

Abstract

Despite numerous studies in the field of dementia and Alzheimer's disease (AD), a comprehensive understanding of this devastating disease remains elusive. Bulk transcriptomics have provided insights into the underlying genetic factors at a high level. Subsequent technological advancements have focused on single-cell omics, encompassing techniques such as single-cell RNA sequencing and epigenomics, enabling the capture of RNA transcripts and chromatin states at a single cell or nucleus resolution. Furthermore, the emergence of spatial omics has allowed the study of gene responses in the vicinity of amyloid beta plaques or across various brain regions. With the vast amount of data generated, utilizing gene regulatory networks to comprehensively study this disease has become essential. This review delves into some techniques employed in the field of AD, explores the discoveries made using these techniques, and provides insights into the future of the field.

Indexed as

Alzheimer DiseaseGene Regulatory NetworksSystems BiologyBrainEpigenomicsGenomicsHumansMultiomicsAlzheimer's diseaseepigenomicsgeneticsmulti‐omicssingle‐nucleus RNA‐seqspatialspatial transcriptomicstranscriptomics

Identifiers

PMID38534018
PMCPMC11095483
OpenAlexW4393233503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.