Sheel Shah

This study identifies second-order spatial features, such as ligand-receptor interactions, as predictive of glioma malignant transformation using integrated spatial DNA and RNA profiling.

The paper uses integrated spatial genomics to study nuclear architecture in mouse brain cortex cells, revealing chromatin fixed points and cell-type specific organization of nuclear bodies.

The paper maps chromatin states, DNA loci, and gene expression in single mouse embryonic stem cells using DNA seqFISH+ and immunofluorescence, revealing nuclear zones and subpopulations with distinct chromatin features.

The paper integrates single-cell transcriptomic and spatial data to analyze cell-type and spatial domain contributions to heterogeneity in the mouse visual cortex.

This study uses seqFISH to image nascent transcription active sites in single mouse embryonic stem cells, revealing dynamic spatial distribution and variability in transcription activity.

The paper introduces a method to multiplex label and track genomic loci in single cells using CRISPR imaging combined with DNA seqFISH, demonstrating it on telomere dynamics in mouse embryonic stem cells.