The Ren group mainly focuses on elucidating how mesenchymal lineage cells (mesenchymal stem cells and fibroblasts) and immune-regulatory myeloid cells (neutrophils and macrophages) modulate the adaptive immune responses in cancer treatment resistance and metastatic relapse. These studies will fully take advantage of the unique research platform--patient-derived xenograft (PDX) tumors in humanized mouse models at The Jackson Laboratory, with the research goal to develop novel strategies targeting tumor microenvironment to improve the efficacies of conventional cancer therapies and new therapeutics such as immunotherapy.
Systems immunologist using single cell approaches to understand the immune system
To study tumor microenvironment and tumor immunology in cancer therapeutic resistance and metastatic relapse
My research concerns the process of cellular senescence in aging. I study senescence and senolytic drugs in a genetically...
Researches regulation of stem cells in the blood in normal development, aging and leukemia transformation.
Currently researching the microenvironment of breast cancer, in order to develop new strategies of immunotherapy.
JAX supporter Diana Davis Spencer says her entrepreunerial spirit and passion for philanthropy are what motivate her to...
Immunologically humanized NSGTM and its variant strains are a powerful system that facilitates cutting-edge in vivo preclinical testing of...
Model disease through aligning human-mouse phenotype data : case study in Alzheimer disease (AD)
Enabling the development of novel therapies for serious illnesses.
Studying the mechanisms of human immunity and developing cancer immunotherapies.
New JAX research shows that inhibiting neutrophil lipid accumulation could provide a valuable anti-metastatic therapy target for cancer...
Dual roles of neutrophils in metastatic colonization are governed by the host NK cell status
The National Cancer Institute has awarded Jackson Laboratory cancer researcher Gary Ren a five-year grant totaling...
I have joined Verhaak lab to study the role of ecDNA in cancer
Applies statistical modeling and machine learning to elucidate the impact of tumor and patient heterogeneity on disease outcome and...
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