Pathology & Laboratory Medicine

Publications

Filter By Faculty

Filter by Principal Investigator

2021

Showalter K, Spiera R, Magro C, Agius P, Martyanov V, Franks JM, et al. Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement. Ann Rheum Dis. 2021;80(2):228-237.

Butler D, Mozsary C, Meydan C, Foox J, Rosiene J, Shaiber A, et al. Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. Nat Commun. 2021;12(1):1660.

Peters TL, Patil T, Le AT, Davies KD, Brzeskiewicz PM, Nijmeh H, et al. Evolution of MET and NRAS gene amplification as acquired resistance mechanisms in EGFR mutant NSCLC. NPJ Precis Oncol. 2021;5(1):91.

Stonesifer CJ, Trager MH, Magro CM, Geskin LJ. CD8+ Lymphogranulomatous Dermatitis as a Manifestation of Malignancy-Associated Immunodeficiency: Rethinking Paraneoplastic Granulomas. Am J Dermatopathol. 2021;43(12):e222-e226.

Stephens EA, Ludwicki MB, Meksiriporn B, Li M, Ye T, Monticello C, et al. Engineering Single Pan-Specific Ubiquibodies for Targeted Degradation of All Forms of Endogenous ERK Protein Kinase. ACS Synth Biol. 2021;10(9):2396-2408.

Laursen KB, Chen Q, Khani F, Attarwala N, Gross SS, Dow L, et al. Mitochondrial Ndufa4l2 Enhances Deposition of Lipids and Expression of Ca9 in the TRACK Model of Early Clear Cell Renal Cell Carcinoma. Front Oncol. 2021;11:783856.

Yusufova N, Kloetgen A, Teater M, Osunsade A, Camarillo JM, Chin CR, et al. Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture. Nature. 2021;589(7841):299-305.

Zouboulis CC, Shapiro LS, Magro CM. Atrophic papulosis: the wedge-shaped skin necrosis overlays an active lesion. J Eur Acad Dermatol Venereol. 2021;35(10):e672-e674.

Mueller AC, Piper M, Goodspeed A, Bhuvane S, Williams JS, Bhatia S, et al. Induction of ADAM10 by Radiation Therapy Drives Fibrosis, Resistance, and Epithelial-to-Mesenchyal Transition in Pancreatic Cancer. Cancer Res. 2021;81(12):3255-3269.

Ikemura K, Bellin E, Yagi Y, Billett H, Saada M, Simone K, et al. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study. J Med Internet Res. 2021;23(2):e23458.