Pathology & Laboratory Medicine

Publications

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2021

Punjani N, Flannigan R, Kang C, Khani F. Quantifying Heterogeneity of Testicular Histopathology in Men with Nonobstructive Azoospermia. J Urol. 2021;206(5):1268-1275.

Kim D, Alperstein SA, Siddiqui MT. Standardizing a volume benchmark for cerebrospinal fluids for optimal diagnostic accuracy. Diagn Cytopathol. 2021;49(2):258-266.

Liu X, Su T, Hsu Y-, Yu H, Yang HS, Jiang L, et al. Rapid identification and discrimination of methicillin-resistant Staphylococcus aureus strains via matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Rapid Commun Mass Spectrom. 2021;35(2):e8972.

Hwang I, Uchida H, Dai Z, Li F, Sanchez T, Locasale JW, et al. Cellular stress signaling activates type-I IFN response through FOXO3-regulated lamin posttranslational modification. Nat Commun. 2021;12(1):640.

Jacob RP, Flynn J, Devlin SM, Maloy M, Giralt SA, Maslak P, et al. Universal Engraftment after Allogeneic Hematopoietic Cell Transplantation Using Cryopreserved CD34-Selected Grafts. Transplant Cell Ther. 2021;27(8):697.e1-697.e5.

Manning DK, Shivdasani P, Koeller DR, Schwartz A, Rana HQ, Garber JE, et al. Assessment of genomic alterations in non-syndromic von Hippel-Lindau: Insight from integrating somatic and germline next generation sequencing genomic data. Data Brief. 2021;39:107653.

Huang J, Linares JF, Duran A, Xia W, Saltiel AR, Müller TD, et al. NBR1 is a critical step in the repression of thermogenesis of p62-deficient adipocytes through PPARγ. Nat Commun. 2021;12(1):2876.

Moskowitz AJ, Ghione P, Jacobsen E, Ruan J, Schatz JH, Noor S, et al. A phase 2 biomarker-driven study of ruxolitinib demonstrates effectiveness of JAK/STAT targeting in T-cell lymphomas. Blood. 2021;138(26):2828-2837.

Jesser EA, Brady NJ, Huggins DN, Witschen PM, O'Connor CH, Schwertfeger KL. STAT5 is activated in macrophages by breast cancer cell-derived factors and regulates macrophage function in the tumor microenvironment. Breast Cancer Res. 2021;23(1):104.

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.