Anjali Chawla

The paper identifies spatially localized astrocytic dysfunction in depression using multi-omics data and shows its role in disease pathology.

The paper identifies sex-specific regulatory dynamics in adolescent brain development that may contribute to depression vulnerability through hormone-sensitive gene expression and chromatin accessibility patterns.

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.

This study identifies widespread gene expression changes in the neurovascular unit of female depressed suicides with childhood abuse histories, highlighting key regulators like KLF2 and KLF4.

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

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.

The paper investigates BMAL1 expression in human and mouse microglia using multiple methods and finds minimal or absent expression, with epigenetic factors likely suppressing it.

ECLARE integrates unpaired single-cell multi-omic data using multi-teacher contrastive learning, improving cell pairing accuracy and biological structure preservation in depression studies.