Malosree Maitra

A multimodal characterization of the human uncinate fasciculus

This study characterizes the human uncinate fasciculus using multimodal approaches, finding no group differences in histology but identifying differentially expressed genes and age-related changes.

Differential Chromatin Architecture and Risk Variants in Deep Layer Excitatory Neurons and Grey Matter Microglia Contribute to Major Depressive Disorder

This study identifies differential chromatin architecture and risk variants in specific brain cell types associated with major depressive disorder.

Characterization of the suicide attempt-associated chromosome 7 locus

The paper investigates the functional relationship between a suicide attempt-associated SNP on chromosome 7 and gene expression in brain regions, identifying FOXP2 as a key gene involved.

Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes

Child abuse associates with increased recruitment of perineuronal nets in the ventromedial prefrontal cortex: a possible implication of oligodendrocyte progenitor cells

This study shows that child abuse is linked to increased perineuronal net recruitment in the ventromedial prefrontal cortex, potentially through oligodendrocyte progenitor cell activity.

Associations of psychiatric disease and aging on FKBP5 expression converge on cortical supragranular neurons

The paper investigates how psychiatric disease and aging affect FKBP5 expression in the human brain, identifying supragranular neurons as key targets.

Deep feature extraction of single-cell transcriptomes by generative adversarial network

This paper introduces scGAN, a method to reduce batch effects in scRNA-seq data by using a generative adversarial network, and shows it improves clustering and gene identification in psychiatric disorders.

Single-nucleus RNA sequencing shows convergent evidence from different cell types for altered synaptic plasticity in major depressive disorder.

The paper uses single-nucleus RNA sequencing to identify gene expression changes in specific cell types associated with major depressive disorder.