Manjari M-G Anant

The paper shows new cerebellar nuclei evolve through diversification of excitatory progenitors and spatial segregation, with inhibitory neurons incorporated later.

The paper generates and validates an Acan-Cre mouse line that selectively labels Class-B excitatory neurons in the cerebellar nuclei for functional studies.

BARseq3 integrates spatial multi-omics and cellular barcoding in single cells to enable multimodal understanding of cellular identity.

DART automates aligning histological brain sections to 3D atlases and generates ROI contours for laser microdissection, improving precision and reproducibility in tissue sampling.

The paper introduces CRAWDAD, a tool for analyzing cell-type spatial relationships across scales in spatially resolved omics data, and demonstrates its application on simulated and real datasets.

This study evaluates how different normalization methods affect the analysis of spatially resolved transcriptomics data, showing that gene count-based normalization can introduce biases in downstream analyses.

This paper introduces STalign, a method for aligning spatial transcriptomics data using diffeomorphic metric mapping, improving alignment accuracy over affine methods.