Zobrazeno 1 - 5
of 5
pro vyhledávání: '"L. DeEtte McDonald"'
Autor:
Mert Boya, Tevhide Ozkaya-Ahmadov, Brandi E. Swain, Chia-Heng Chu, Norh Asmare, Ozgun Civelekoglu, Ruxiu Liu, Dohwan Lee, Sherry Tobia, Shweta Biliya, L. DeEtte McDonald, Bassel Nazha, Omer Kucuk, Martin G. Sanda, Benedict B. Benigno, Carlos S. Moreno, Mehmet A. Bilen, John F. McDonald, A. Fatih Sarioglu
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Metastatic CTC clusters remain relatively unexplored due to the lack of optimized and practical technologies for their detection. Here the authors report Cluster-Wells to isolate CTC clusters in whole blood; they show this allows viable cluster retri
Externí odkaz:
https://doaj.org/article/5012ddfb6f8249cca14a1d80a809d054
Autor:
Minati Satpathy, Lilya V. Matyunina, John F. McDonald, Mengnan Zhang, Yuehua Wang, L. DeEtte McDonald, Neda Jabbari
Publikováno v:
Cancer Letters. 459:168-175
Epithelial-to-mesenchymal transition (EMT) has been shown to be similarly regulated by multiple miRNAs, some displaying little or no sequence identity. While alternate models have been proposed to explain the functional convergence of sequence diverg
Autor:
Mert, Boya, Tevhide, Ozkaya-Ahmadov, Brandi E, Swain, Chia-Heng, Chu, Norh, Asmare, Ozgun, Civelekoglu, Ruxiu, Liu, Dohwan, Lee, Sherry, Tobia, Shweta, Biliya, L DeEtte, McDonald, Bassel, Nazha, Omer, Kucuk, Martin G, Sanda, Benedict B, Benigno, Carlos S, Moreno, Mehmet A, Bilen, John F, McDonald, A Fatih, Sarioglu
Publikováno v:
Nature communications. 13(1)
Extremely rare circulating tumor cell (CTC) clusters are both increasingly appreciated as highly metastatic precursors and virtually unexplored. Technologies are primarily designed to detect single CTCs and often fail to account for the fragility of
Autor:
Lilya V. Matyunina, John F. McDonald, Cai Huang, Benedict B. Benigno, L. DeEtte McDonald, Evan A. Clayton, Fredrik O. Vannberg
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
Scientific Reports
Scientific Reports
Precision or personalized cancer medicine is a clinical approach that strives to customize therapies based upon the genomic profiles of individual patient tumors. Machine learning (ML) is a computational method particularly suited to the establishmen
Autor:
Loukia N. Lili, Minati Satpathy, Andrew D. Huang, L. DeEtte McDonald, Lilya V. Matyunina, John F. McDonald, Mengnan Zhang, Lijuan Wang
Publikováno v:
Cancer Letters. 428:184-191
Expression levels of the miR-200 family of miRNAs are significantly reduced during the epithelial-to-mesenchymal transition (EMT) and consequent metastasis of ovarian and other cancers. Consistently, ectopic over-expression of miR-200 family miRNAs i