ePoster

WIDESPREAD TRANSCRIPTOMIC HETEROGENEITY REFLECTS FUNCTIONAL SPECIALIZATION IN BRAIN CELLS

Shuyi Yangand 2 co-authors

Maastricht University

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS01-07AM-164

Presentation

Date TBA

Board: PS01-07AM-164

Poster preview

WIDESPREAD TRANSCRIPTOMIC HETEROGENEITY REFLECTS FUNCTIONAL SPECIALIZATION IN BRAIN CELLS poster preview

Event Information

Poster Board

PS01-07AM-164

Abstract

Gene expression heterogeneity is a fundamental property of biological systems and is particularly pronounced in the brain, where cells exhibit diverse and highly specialized functional roles. However, how this specialization manifests at the transcriptomic level, especially with respect to genes supporting essential cellular functions, remains insufficiently characterized across brain cell types.
Here, we systematically quantify gene expression heterogeneity across multiple RNA-seq datasets, focusing on glial cells and neurons from brain tissue in comparison with non-brain cell types. Using the Gini index as a quantitative measure, we assessed expression patterns at the genome-wide level as well as within gene sets associated with core cellular functions. We find that brain glial cells exhibit markedly higher expression heterogeneity than non-brain cells, indicating a strong degree of transcriptomic specialization. Importantly, this elevated heterogeneity persists even when analysis is restricted to commonly used housekeeping gene lists, suggesting that specialization in the brain extends to genes underlying essential cellular processes. Also, this effect is robust to the inclusion or exclusion of specific cell types and is observed across multiple brain cell populations, indicating that it is not driven by a single cell type.
Together, these findings highlight a distinct organizational principle of gene expression in the brain and underscore the importance of considering cell-type–specific expression architecture when interpreting transcriptomic data in neuroscience.

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