Kavita Krishnan

SEngEAR is a web platform for annotating senescent cells, visualizing communication networks, and comparing senescence signatures across datasets and contexts.

This study shows age and sex affect fibrosis and immune response in a mouse model of implant-induced chronic inflammation through changes in T cell and macrophage phenotypes.

This study identifies distinct senescent cell populations in human fibroids and shows their role in ECM remodeling and vascular dysfunction through single-cell RNA sequencing and functional analysis.

The paper identifies distinct fibroblast and perivascular senescence subtypes in fibrosis using single-cell and spatial transcriptomics, showing their spatial organization and roles in fibrosis progression.

This study shows that γδ17 T cells influence fibrosis by altering ECM composition and vascularity through interactions with stromal cells.

The paper introduces dominoSignal, a software tool that statistically tests differential cell signaling from single-cell data to infer changes in cell-cell communication networks.

This study shows that tissue injury accelerates tumor growth and reduces response to immunotherapy in mice, but biomaterials that enhance wound healing can improve outcomes and ICB response.

This study shows immune checkpoint inhibitors enhance type 2 immunity and regeneration in ECM-treated wounds by promoting Treg/TH2 plasticity and pro-regenerative macrophages.

The paper identifies Treg clonal expansion and immunosuppressive functions in fibrosis induced by synthetic implants, showing their role in modulating stromal cell behavior.

This study shows that gut microbiota dysbiosis from enteric infection increases immune cell recruitment to a distant biomaterial implant, affecting the foreign body response.