Suresh Satpati

This paper introduces a counterfactual framework to analyze directional cell-cell interactions in spatial transcriptomics, identifying significant asymmetric influences between tumor, immune, and stromal compartments in cholangiocarcinoma tissue.

The paper introduces an ambiguity-aware framework for spatial cell-type annotation, reducing cluster and cell-level ambiguity in cholangiocarcinoma data.

NanoCellAnnotator improves spatial transcriptomics cell-type annotation by combining biological constraints and LLMs, identifying canonical cell populations and flagging ambiguous clusters.

The paper identifies a fasting-induced microbiome-metabolite-chromatin axis that primes intestinal stem cells for regeneration after radiation injury.

This study identifies two epigenetically distinct cell states in leiomyosarcoma using single-nucleus multiome sequencing and spatial transcriptomics, linking them to clinical outcomes and therapeutic vulnerabilities.

The paper develops a framework to integrate spatial transcriptomics with single-cell multiome data to infer spatially resolved regulatory programs in melanoma.

This study uses single-nucleus multiome sequencing and spatial transcriptomics to analyze liposarcoma subtypes, revealing distinct cellular states, immune features, and gene regulatory circuits.

This study identifies Bhlhe40 as a key regulator of T cell effector differentiation, showing distinct roles in CD4 and CD8 T cells for anti-PD-1 and anti-CTLA-4 therapies.