Mojtaba Bakhtiari

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

TreeTOP enables standardized manipulative experiments in forest canopies by providing accessible platforms for potted plants across different heights.

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.

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.

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.