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Diane M. Simeone
Researcher at University of Michigan
Publications - 297
Citations - 23025
Diane M. Simeone is an academic researcher from University of Michigan. The author has contributed to research in topics: Pancreatic cancer & Cancer. The author has an hindex of 66, co-authored 261 publications receiving 20569 citations. Previous affiliations of Diane M. Simeone include New York University & University of Texas MD Anderson Cancer Center.
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Journal ArticleDOI
An N-glycosylation Analysis of Human Alpha-2-Macroglobulin Using an Integrated Approach.
TL;DR: The detailed N-glycosylation pattern of human serum alpha-2-macroglobulin was studied using an integrative approach, including permethylation of N- glycans, collision induced dissociation and electron transfer dissociation of chymotryptic N- Glycopeptides, and partial deglycosylations with endo-β-N-acetylglucosaminidase F3 (Endo F3).
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Human Pancreatic Acinar Cells Do Not Respond to Cholecystokinin
TL;DR: The results indicate that human pancreatic acinar cells do not respond directly to CCK receptor activation and this is likely due to an insufficient level of receptor expression.
Journal ArticleDOI
The identification of phosphoglycerate kinase‐1 and histone H4 autoantibodies in pancreatic cancer patient serum using a natural protein microarray
Tasneem H. Patwa,Chen Li,Laila M. Poisson,Hye Yeung Kim,Manoj Pal,Debashis Ghosh,Diane M. Simeone,David M. Lubman +7 more
TL;DR: This work demonstrates the use of natural protein arrays to study the humoral response as a means to search for the potential markers of cancer in serum.
Posted ContentDOI
Building a tumor atlas: integrating single-cell RNA-Seq data with spatial transcriptomics in pancreatic ductal adenocarcinoma
Reuben Moncada,Marta Chiodin,Joseph C. Devlin,Maayan Baron,Cristina H. Hajdu,Diane M. Simeone,Itai Yanai +6 more
TL;DR: This work robustly deconvolved the cell type composition of each ST spot to generate a spatial atlas of cell proportions across the tissue, and found that distinct spatial localizations accompany each of the cell populations that the authors identified.
Journal ArticleDOI
A pan-cancer organoid platform for precision medicine.
Brian M. Larsen,Madhavi Kannan,Lee F. Langer,Benjamin D. Leibowitz,Aïcha BenTaieb,Andrea Cancino,Igor Dolgalev,Bridgette E. Drummond,Jonathan R. Dry,Chi Sing Ho,Gaurav Khullar,Benjamin A. Krantz,Brandon Mapes,Kelly E. McKinnon,Jessica Metti,Jason Perera,Tim A. Rand,Veronica Sanchez-Freire,Jenna M. Shaxted,Michelle M. Stein,Michael A. Streit,Yi-Hung Carol Tan,Yilin Zhang,Ende Zhao,Jagadish Venkataraman,Martin C. Stumpe,Jeffrey A. Borgia,Ashiq Masood,Daniel V.T. Catenacci,Jeremy V. Mathews,Demirkan B. Gursel,Jian Jun Wei,Theodore H. Welling,Diane M. Simeone,Kevin P. White,Aly A. Khan,Catherine Igartua,Ameen A. Salahudeen +37 more
TL;DR: In this paper, a pan-cancer TO platform with chemically defined media optimized on cultures acquired from over 1,000 patients was presented, and a neural-network-based high-throughput approach for label-free, light-microscopy-based drug assays capable of predicting patient-specific heterogeneity in drug responses was demonstrated.