Anubhav Sinha

Serval is a modular framework for decoding spatial transcriptomics data that introduces Cosine, a method improving transcript recovery and correlation with expression references.

This paper introduces UTMM, a method to simultaneously measure transcriptomes and mechanical properties in intact embryos, revealing coupling between RNA expression and intracellular compliance during early development.

This paper introduces a zebrafish transgenesis method for in vivo pooled screening of transgenes, enabling single-transgene precision in a physiological context.

The paper introduces ExBarSeq, a method for high-resolution multiplexing of barcodes and synaptic proteins in neurons, demonstrating its application in mouse brain tissue.

This study uses spatial transcriptomics to create a spatial atlas of testis gene expression, identifying spatially segregated spermatogonial populations and disruptions in diabetic testes.

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.

The paper introduces CISI, a method that uses compressed sensing to efficiently recover spatial gene expression data from composite measurements, achieving high efficiency and scalability.

The paper introduces BOLORAMIS, a RT-free method for spatially-resolved, targeted in-situ RNA detection, and demonstrates its use on human iPSCs to identify spatial localization and expression heterogeneity.