Publications by authors named "C S Jayaprakash"
Article Synopsis
- High-dimensional technologies like CyTOF imaging mass cytometry (IMC) analyze the spatial arrangement of cancer and immune cells in tumor samples before immunotherapy, providing insights into their organization in the tumor microenvironment (TME).
- A new model developed using IMC data from melanoma patients undergoing ICI therapy reveals that the spatial relationships between activated CD8 T cells, macrophages, and melanoma cells significantly influence tumor growth and patient outcomes.
- Key findings highlight that the initial spatial configuration of these immune cells predicts tumor progression, with features like the co-clustering of activated CD8 T cells and macrophages being critical, despite variations during treatment.
The study aims to evaluate the diagnostic potential of pathogen-specific leptospiral sphingomyelinases, LipL32, LipL41, and HbpA in human patients with dengue-leptospirosis coinfection. Patients (n-86), upon clinical evaluation, were categorized into Group I (n-37; leptospirosis), Group II (n-39; dengue-leptospirosis coinfection), and Group III (n-10; negative for both dengue and leptospirosis). ELISA identified significant levels of the four leptospiral antigens in the urine of Group I and II, but not in Group III patients.
View Article and Find Full Text PDFDynamic interactions within the tumor micro-environment drive patient response to immune checkpoint inhibitors. Existing preclinical models lack true representation of this complexity. Using a Head and Neck cancer patient derived TruTumor histoculture platform, the response spectrum of 70 patients to anti-PD1 treatment is investigated in this study.
View Article and Find Full Text PDFDiffuse intrinsic pontine gliomas (DIPGs) are deadly pediatric brain tumors, non-resectable due to brainstem localization and diffusive growth. Over 80% of DIPGs harbor a mutation in histone 3 (H3.3 or H3.
View Article and Find Full Text PDFMechanistic models are commonly employed to describe signaling and gene regulatory kinetics in single cells and cell populations. Recent advances in single-cell technologies have produced multidimensional datasets where snapshots of copy numbers (or abundances) of a large number of proteins and mRNA are measured across time in single cells. The availability of such datasets presents an attractive scenario where mechanistic models are validated against experiments, and estimated model parameters enable quantitative predictions of signaling or gene regulatory kinetics.
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