Evidence map›Paper›PMID 40537665›Full record

ArticleMolecular neurobiology2025

Single-Cell Transcriptome Patterns of Transposable Elements in Alzheimer's Disease.

Cali M McEntee, Thomas J LaRocca

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    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

2 authors.

Cali M McEnteeDepartment of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA.
Thomas J LaRoccaDepartment of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA. Tom.LaRocca@colostate.edu.

Funding

Age-related repetitive element dysregulation, neuroinflammation and Alzheimer's diseaseR01AG078859 · NIA · COLORADO STATE UNIVERSITY · PI Thomas LaRocca · 2022 to 2026
$1.9M
Role of age-dependent repetitive element transcript dysregulation in Alzheimers diseaseR03AG070562 · NIA · COLORADO STATE UNIVERSITY · PI LAROCCA, THOMAS · 2021 to 2022
$304k
National Institute of Aging F31AG084330National Institute of Aging R01AG078859NIA NIH HHS R01 AG078859NIA NIH HHS R03 AG070562
6 · The paper itself

Abstract

Growing evidence implicates transcripts from transposable elements (TEs) in the pathogenesis of Alzheimer's disease (AD). However, despite recent single-cell/nucleus RNA sequencing (sc/snRNA-seq) studies of AD, cell type-specific patterns in TE transcripts have not been reported. Therefore, we examined TE transcripts in snRNA-seq datasets based on prefrontal cortex samples from AD patients. We analyzed gene/TE expression in 143,951 cells and found that: (1) TE transcripts are broadly increased with AD in most brain cell types; (2) retrotransposon transcripts are most increased with AD pathology in excitatory neurons; and (3) TE loci are more transcriptionally accessible in AD, especially in neurons/excitatory neurons. We also confirmed our findings in complementary analyses of bulk RNA-seq data on AD. Together, our data provide novel insight into TE transcript dynamics across different cell types in the AD brain.

Indexed as

Alzheimer DiseaseDNA Transposable ElementsGene Expression ProfilingSingle-Cell AnalysisTranscriptomeHumansNeuronsDNA Transposable ElementsAlzheimer’s diseaseNeuronsRetrotransposonssnATAC-seqsnRNA-seqTransposable elements

Identifiers

What Socratic 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 Socratic graph.