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Caitlin H. Choi

Researcher at Johns Hopkins University

Publications -  9
Citations -  1140

Caitlin H. Choi is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Proteome & Ovarian cancer. The author has an hindex of 9, co-authored 9 publications receiving 850 citations.

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Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

TL;DR: A view of how the somatic genome drives the cancer proteome and associations between protein and post-translational modification levels and clinical outcomes in HGSC is provided.

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

TL;DR: In this article, a detailed analysis of the molecular components and underlying mechanisms associated with ovarian cancer was provided, such as how different copy-number alterna-tions in the Proteome, the proteins associated with chromosomal instability, the sets of signalingpathways that diverse genome rearrangements converge on, and the ones associated with short overall survival.
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Overexpression of α (1,6) fucosyltransferase associated with aggressive prostate cancer

TL;DR: FUT8 may be associated with aggressive PCa and thus is potentially useful for its prognosis, and using PC3 and LNCaP cells as models, it is found that FUT8 overexpression in LNCAP cells increased PCa cell migration, while loss of F UT8 in PC3 cells decreased cell motility.
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MicroRNAs downregulate Bag of marbles to ensure proper terminal differentiation in the Drosophila male germline

TL;DR: It is demonstrated that microRNAs control the stem cell differentiation pathway through regulating Bam, the downregulation of which is crucial for proper spermatid terminal differentiation.
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Identification of sialylated glycoproteins from metabolically oligosaccharide engineered pancreatic cells

TL;DR: A comparison of two of these glycoproteins, LAMP1 and ORP150, in histological tumor samples showed overexpression of these proteins in the cancerous tissue demonstrating that the approach constitutes a viable strategy to identify and discover sialoglycoprotein associated with cancer, which can serve as biomarkers for cancer diagnosis or targets for therapy.