Evidence map›Paper›PMID 42273366›Full record

ArticleFrontiers in neuroscience2026

Disease-associated RNA and protein signatures in iPSC-derived microglia model of Alzheimer's disease.

Wenzhe Wu, Eun Seok Choi, Luke Liu, Veena Thamilselvan, Le Li, Meagan D Rippee-Brooks, Kashish Khatkar, Dar-Yin Li, Denise McGrath, Aidan Manning and 5 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. 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.

No citing paper in PubMed yet.

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

15 authors.

Wenzhe WuDepartment of Pediatrics, University of Texas Medical Branch, Galveston, TX, United States.
Eun Seok ChoiDepartment of Pediatrics, University of Texas Medical Branch, Galveston, TX, United States.
Luke LiuDepartment of Computer Science, University of Rochester, Rochester, NY, United States.
Veena ThamilselvanmiRcore, Ann Arbor, MI, United States.
Le LiDepartment of Mathematics, College of Natural Sciences, The University of Texas at Austin, Austin, TX, United States.
Meagan D Rippee-BrooksDepartment of Pediatrics, University of Texas Medical Branch, Galveston, TX, United States.
Kashish KhatkarDepartment of Pediatrics, University of Texas Medical Branch, Galveston, TX, United States.
Dar-Yin LiDepartment of Pediatrics, University of Texas Medical Branch, Galveston, TX, United States.
Denise McGrathRealSeq Biosciences, Santa Cruz, CA, United States.
Aidan ManningRealSeq Biosciences, Santa Cruz, CA, United States.
Sergio Barberan-SolerRealSeq Biosciences, Santa Cruz, CA, United States.
Inhan LeemiRcore, Ann Arbor, MI, United States.
Yingxin ZhaoDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, TX, United States.
Xiang FangDepartment of Neurology, University of Texas Medical Branch, Galveston, TX, United States.
Xiaoyong BaoDepartment of Pediatrics, University of Texas Medical Branch, Galveston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Microglia, the resident immune cells of the central nervous system, play a critical role in maintaining neural homeostasis and regulating inflammatory responses in the brain. Increasing evidence suggests that microglial dysfunction contributes to the progression of neurodegenerative diseases, including Alzheimer's disease (AD). However, the molecular mechanisms underlying these alterations remain incompletely understood. This study aimed to characterize disease-associated molecular changes in microglia derived from induced pluripotent stem cells (iPSCs) of sporadic AD patients and healthy donors. Methods: iPSC-derived microglia from sporadic AD patients and healthy controls were analyzed using integrated multi-omics approaches, including total RNA sequencing, proteomics, and small non-coding RNA (sncRNA) sequencing. Gene Ontology (GO) analysis was performed to identify dysregulated biological pathways from transcriptomic and proteomic datasets. In addition, a modified T4 polynucleotide kinase (T4 PNK)-based sncRNA sequencing method was used to profile disease-associated sncRNAs and identify previously uncharacterized RNA species. Results: Comparative analyses revealed significant AD-associated alterations in mRNA, protein, and sncRNA expression profiles in iPSC-derived microglia. GO analysis demonstrated dysregulation of pathways related to extracellular communication, intracellular transport, cytoskeletal organization, and protein-protein interactions. Furthermore, the modified T4 PNK-sncRNA sequencing approach identified multiple disease-associated sncRNAs, including several novel and previously uncharacterized RNA species potentially linked to AD pathology. Discussion: These findings demonstrate that iPSC-derived microglia provide a valuable model for studying molecular mechanisms associated with sporadic AD. The identified transcriptomic, proteomic, and sncRNA alterations highlight key pathways potentially involved in microglial dysfunction and neurodegeneration. In particular, the discovery of novel disease-associated sncRNAs may provide new insights into AD pathogenesis and reveal potential therapeutic targets for future investigation.

Indexed as

Alzheimer’s diseaseiPSC-derived microglia (iMG)multiple omicsT4 PNK-sncRNA-seqtRNA-derived RNA fragment (tRF)

Identifiers

PMID42273366
PMCPMC13246725

What Socratic holds

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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.