Author

Lauren J. Tracey

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Integrated Multi-Omic Approach Using Spatial Transcriptomics and Proteomics Reveals an In-Depth View of Localized Immune Response in Renal Cancer 2259256

Clear cell renal cell carcinoma (ccRCC) is a highly heterogeneous cancer with complex tumor and immune microenvironment interactions influencing progression and therapy response. Advances in spatial technologies now allow for simultaneous spatial mapping of transcriptomic and proteomic features from patient tissue and phenotyping of blood cells, enabling detailed assessment of disease biology. This study highlights a multi-omic approach to characterizing systemic immune responses, tumor microenvironment niches, immune states and tumor heterogeneity in ccRCC patient samples. We profiled ccRCC patient samples using peripheral blood mononuclear cells (PBMC) and tumor-derived cells (TDCs) by CyTOF™ technology with a 50-plus-antibody panel. Matched formalin-fixed tumor tissue was examined by a spatial transcriptomic platform, hematoxylin and eosin (H&E) assessment, and Imaging Mass Cytometry™ (IMC™) technology with a 43-marker panel sequentially on the same tissue section. These datasets were analyzed to explore immune and tumor signatures linked to disease states. We demonstrate compatibility of IMC workflows with H&E and spatial transcriptomic modalities. IMC technology identified spatial distribution and activation states of immune and tumor cells in ccRCC. Combining spatial transcriptomics and proteomics enabled detailed phenotyping of tumor metabolic and signaling states and immune cytokine and transcription factor expression. Comparison of PBMC and TDC composition provided insights into systemic and localized immune responses. This study highlights the power of spatial multi-omic profiling to unravel the immune and oncologic landscape of ccRCC with high resolution. Identification of spatially defined immune cell states and niches offered insights into tumor immune evasion and resistance mechanisms. These findings pave the way for spatially informed biomarkers and potential precision therapies for ccRCC. For Research Use Only. Not for use in diagnostic procedures. n/a Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

Michael J. Cohen, Q. Raza, N. Zabinyakov et al. · Journal of Immunology · 0 citations

Jul 2026

A 61-Parameter CyTOF Panel for Comprehensive Profiling of Human PBMC to Characterize Activation, Differentiation, Checkpoints and Cytokines 2259198

High-parameter cytometric analysis enables discoveries of potential therapeutic targets and informs disease prognoses in translational and clinical research. CyTOF™ technology is a single-cell analysis platform that uses metal-tagged antibodies to resolve 50-plus markers in a single tube. Notably, antibody cocktails and stained samples can be frozen for later use and acquisition, or barcoded and pooled together, minimizing technical variation. Unlike fluorescence-based cytometry, spectral unmixing and single-stain controls are not required. Therefore, it is uniquely possible with CyTOF technology to rapidly design high-parameter panels and use intracellular markers to gain functional insights. The goal of this study was to design a 61-parameter CyTOF panel for in-depth functional immune profiling of human PBMC. The panel contains lineage markers for major immune cell subsets and a diverse array of phenotyping T cell targets focused on activation, differentiation, checkpoint and cytokines and can be used to identify over 60 cell populations. Untreated and stimulated PBMC were barcoded, pooled and stained. Samples were frozen and acquired on a later day using a CyTOF XT PRO system. High-dimensional analysis of stimulated PBMC revealed striking cross-lineage immuno-functional diversity at the single-cell level. The expression of over 20 markers spanning the functional landscape of activation, checkpoints and cytokines was revealed across effector, memory, cytotoxic, regulatory and exhausted immune cell populations. CyTOF systems enable the highest number of simultaneous measurements in a single panel, allowing for wide immune coverage and high resolution of intracellular targets to interrogate functional potential. Overall, studying functional immunology using CyTOF technology can elucidate the complex nature of immune responses to provide an understanding of how they relate to disease and treatments. For Research Use Only. Not for use in diagnostic procedures., n/a Immune Mechanisms of Human Disease (HUM)

Michael J. Cohen, Stephen Li, Lauren J. Tracey et al. · Journal of Immunology · 0 citations