NIH Research Festival
Using various RNA sequencing data sources, this study investigates the cellular composition of the subgenual anterior cingulate cortex (sgACC) in schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) to identify specific cell types potentially implicated these psychiatric conditions. We employed cellular deconvolution, a computational method to estimate cell type-specific proportions from transcriptomic data. Postmortem sgACC samples from 185 donors (55 controls, 44 SCZ, 35 BD, 51 MDD) underwent RNA sequencing. Single-cell RNA sequencing data from five sgACC and dorsolateral prefrontal cortex control samples were used as a reference dataset for deconvolution. Bisque deconvolution software was implemented, due to its ability to manage heterogeneous and noisy biological data. After cell type fractions were acquired, ANOVA was implemented to identify, for each cell type, whether diagnosis impacts proportion estimates, subsequent pairwise t-tests to identify key differences in cell type proportions across each diagnostic group, and Tukey‚Äôs tests to adjust p values for multiple comparisons. Oligodendrocyte precursor cells showed the most significant impact, with ANOVA results (p < 0.001, F = 6.43), a significant t-test for SCZ (t = 3.00, p = 0.003), and Tukey's test (p-adjusted= 0.03). Inhibitory neurons also showed significant ANOVA results (p = 0.009, F = 3.99), suggesting reduced neurons in SCZ individuals. Astrocytes showed a marginally significant ANOVA result (p = 0.05, F = 2.65), with SCZ individuals having higher proportions. Tukey's tests showed no deviation for inhibitory neurons (p-adjusted= 0.14) and astrocytes (p-adjusted = 0.24) in SCZ individuals from controls.
Scientific Focus Area: Neuroscience
This page was last updated on Monday, September 25, 2023