ArticleBiology2025
Spatial Transcriptomics Reveals Regional and Temporal Dynamics of Gene Expression in the Mouse Brain Across Development and Aging.
Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Immunization with Mycobacterium vaccae attenuates age-associated transcriptional remodeling and microglial reactivity in the rat hippocampus.Journal of neuroimmunology · 2026Article
- The applications of single-cell and spatial transcriptomics in neuroscience and brain disorders.Neuroscience and biobehavioral reviews · 2026Review
- A comprehensive survey of computer vision methods for spatial transcriptomics.Briefings in bioinformatics · 2026Review
- Computer Vision Methods for Spatial Transcriptomics: A Survey.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Investigating transcriptomic changes during healthy development and aging provides insights into the molecular mechanisms that regulate the maturation of brain functions and drive age-related decline. Although it has been speculated that aging may represent a reversal of late-stage brain development, direct molecular comparisons between these two processes have remained limited. This study employs spatial transcriptomics to analyze the mouse brain at three key timepoints: postnatal day 21 (P21), 3 months (adult), and 28 months (aged), to identify region-specific differential gene expression dynamics. We identify widespread transcriptional changes across both brain development and aging, with all brain regions exhibiting distinct, region-specific gene expression dynamics that reflect divergent regulatory trajectories across the lifespan. During development, gene expression patterns were strongly enriched for neurogenesis, synaptic plasticity, and myelination, reflecting active circuit formation and white matter maturation. In contrast, aging was characterized by a decline in myelination-related gene expression and a pronounced increase in inflammatory and glial activation pathways, particularly within the hippocampus. While both development and aging involved changes in myelination-associated genes, the underlying mechanisms appear distinct: developmental upregulation supports circuit establishment and refinement, whereas aging-related downregulation may reflect secondary consequences of neuroinflammation and reactive gliosis. These findings underscore that, despite some overlap in affected pathways, neural maturation and age-related decline are driven by fundamentally different regulatory programs. These findings establish a novel spatial transcriptomic reference for brain development and aging, offering a valuable data resource for investigating neurodevelopmental and neurodegenerative mechanisms.
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.