Manoj Bhasin

This study uses spatial transcriptomics to analyze medulloblastoma tumor microenvironments, identifying high-risk features and spatial patterns linked to relapse.

The paper integrates coding and noncoding genome annotations to improve transcriptomic analysis, identifying clinically relevant noncoding RNAs in multiple myeloma.

This study integrates single-cell data from multiple wound types and species to identify shared and distinct cellular states and develops a predictive gene signature for chronic wound healing.

This study uses single-cell profiling to analyze immune dysregulation in Long COVID patients, identifying distinct immune signatures associated with symptom severity.

This study uses spatial and single-cell transcriptomics to identify niche-specific signaling programs in multiple myeloma that drive progression and immunosuppression.

This study isolates and characterizes the mouse left internal mammary artery, revealing a conserved protective molecular signature against atherosclerosis.

The paper characterizes immune microenvironment dysregulation in multiple myeloma using single-cell data and links it to disease progression and patient outcomes.

This study uses single-cell RNA sequencing to identify treatment-resistant subtypes and mast cell-like cells in pediatric AML, linking them to poor outcomes.

This study uses longitudinal multi-omic profiling to identify immune escape mechanisms and predictors of response in multiple myeloma.

The paper uses scRNA-seq to analyze the antiviral response in human dendritic cells infected with ZIKV, identifying a network of host genes and proteins involved in antiviral defense.

The paper uses single-nuclei and spatial transcriptomics to analyze vein graft injury pathways, identifying key signaling networks involved in graft failure after harvest and implantation.

This study uses single-cell RNA sequencing to characterize pediatric mixed phenotype acute leukemia, identifying distinct molecular profiles between B/My and T/My subtypes and comparing them to other leukemias.

The paper profiles single-cell RNA sequencing data from diabetic foot ulcers to identify cell types and gene expression patterns associated with wound healing.