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Bokang Rabasha

Researcher at Broad Institute

Publications -  6
Citations -  906

Bokang Rabasha is an academic researcher from Broad Institute. The author has contributed to research in topics: Cancer & Secretory protein. The author has an hindex of 3, co-authored 5 publications receiving 538 citations. Previous affiliations of Bokang Rabasha include Harvard University.

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A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade

TL;DR: A resistance program expressed by malignant cells that is associated with T cell exclusion and immune evasion is identified, and this study provides a high-resolution landscape of ICI-resistant cell states, identifies clinically predictive signatures, and suggests new therapeutic strategies to overcome immunotherapy resistance.
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6-Phosphogluconate Dehydrogenase Links Cytosolic Carbohydrate Metabolism to Protein Secretion via Modulation of Glutathione Levels.

TL;DR: It is shown that 6-phosphogluconate dehydrogenase (PGD), a cytosolic enzyme involved in carbohydrate metabolism, is required for ER structural integrity and protein secretion and that this characteristic ER-dilation phenotype may be a general marker indicating increased ECM protein congestion inside cells and decreased secretion.
Posted ContentDOI

Highly multiplexed quantitative phosphosite assay for biology and preclinical studies

TL;DR: SigPath detected and quantified a large number of differentially regulated phosphosites newly associated with disease models and human tumors at baseline or with drug perturbation, highlighting the potential of SigPath to monitor phosphoproteomic signaling events and to nominate mechanistic hypotheses regarding oncogenesis, response and resistance to therapy.
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Improving identification of symptomatic cancer at primary care clinics: A predictive modeling analysis in Botswana

TL;DR: Sensitivity and specificity statistics from models combining PCP classifications and routine data were comparable to physicians, suggesting that incorporating data‐driven algorithms into referral systems could improve efficiency.