ArticleResearch square2025
Decoding the Effects of Bexarotene treatment on brain of AD-like model mice: Single-Cell Transcriptomics and Chromatin Accessibility Analysis.
Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Backgound: Ligand-activated Retinoid X Receptors (RXRs) regulate gene networks essential for neural development, neuroinflammation, and metabolism. Understanding how RXR activation influences chromatin architecture and gene expression may reveal therapeutic strategies for neurodegenerative diseases. Methods: We used Bexarotene-treated APP/PS1ΔE9 mice to study RXR-mediated regulatory mechanisms. To investigate epigenomic and transcriptional effects, we integrated single-nucleus ATAC-seq (snATAC-seq) with single-cell RNA-seq (scRNA-seq) and validated differentially accessible chromatin peaks using RXR ChIP-seq. Transcription factor (TF) footprinting analysis were performed to map regulatory networks activated by ligand-bound RXR. Results: Our integrated analyses revealed a multilayered transcriptional cascade initiated by a single linear RXR signaling event. We identified RXR-centered regulatory circuits involving heterodimer activation, subsequent upregulation of multiple downstream TFs, and induction of metabolic pathways relevant to neural function. The results of a detailed analysis of TF regulatory networks in neuronal systems suggests that Bexarotene doesn't dismantle the fundamental regulatory scaffold in neurons but rather modulates RXR regulatory role through existing TF networks. Conclusions: This study demonstrates that combining scRNA-seq, snATAC-seq, and ChIP-seq enables a comprehensive analysis of RXR-mediated transcriptional regulation. RXR activation orchestrates complex gene networks that may help restore brain homeostasis in the context of amyloid pathology, neuroinflammation, and neuronal injury.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.