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Updated: Feb 7, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
Aging-related Transcriptomic Changes with Spatial Resolution in the Human Prefrontal Cortex
Anupama Rai1, Artemis Iatrou1,2,3,4, Irais Valenzuela Arzeta1
1Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Aging affects the human prefrontal cortex (PFC) differently across its layers. This study used spatial transcriptomics to reveal layer-specific aging mechanisms in the PFC, identifying targets to improve cognitive aging and healthspan.
Area of Science:
- Neuroscience
- Genomics
- Aging Research
Background:
- The human prefrontal cortex (PFC) is crucial for cognition but shows early age-related decline.
- Previous studies lacked spatial resolution to understand layer-specific aging.
- Spatial transcriptomics (ST) offers potential for layer-resolved analysis.
Purpose of the Study:
- To investigate age-related molecular changes across different layers of the human PFC.
- To identify layer-specific aging mechanisms within the PFC.
- To discover molecular targets for mitigating cognitive aging.
Main Methods:
- Whole-transcriptome spatial transcriptomics (ST) was performed on postmortem PFC samples.
- Samples were obtained from 37 individuals spanning the adult lifespan.
- Cortical layers were mapped to analyze aging patterns spatially.
Main Results:
- Aging effects were found to differ significantly across the distinct layers of the PFC.
- Specific molecular mechanisms driving aging were identified within each layer.
- This study provides a comprehensive, layer-resolved map of PFC aging.
Conclusions:
- The human PFC exhibits layer-specific aging, impacting cognitive function.
- Understanding these layer-specific changes is key to addressing cognitive decline.
- Identified molecular targets may offer new strategies for enhancing brain healthspan.
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