Mary A. Farwell
East Carolina University
24 Papers
92 Citations
Mary A. Farwell is an academic researcher from East Carolina University. The author has contributed to research in topics: Gene & microRNA. The author has an hindex of 15, co-authored 24 publications. Previous affiliations of Mary A. Farwell include University of California, Berkeley & University of North Carolina at Chapel Hill.
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Papers
Hypoxia-induced metabolic and antioxidant enzymatic activities in the estuarine fish Leiostomus xanthurus
TL;DR: Hypoxia appears to trigger superoxide dismutase activity in spot, but each individual's response seems to be highly variable, perhaps due to prior exposure to hypoxia.
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Evaluation and identification of reliable reference genes for pharmacogenomics, toxicogenomics, and small RNA expression analysis
TL;DR: qRT‐PCR evaluation and analysis demonstrated that traditionally used reference genes, such as 18s RNA, β‐actin, and GAPDH, are not reliable reference genes for pharmacogenomics and toxicogenomics studies, and hTBCA and small RNAs are more stable during drug treatment, and they are better reference genes in pharmacogenetics and toxicgenomics studies.
145
microRNAs: a new emerging class of players for disease diagnostics and gene therapy.
Baohong Zhang,Mary A. Farwell +1 more
TL;DR: Early detection of cancers and delivery miRNAs and/or anti‐miRNAs for miRNA gene therapy and the potential toxicity effect of mi RNA gene therapy are discussed.
145
5-Fluorouracil drug alters the microRNA expression profiles in MCF-7 breast cancer cells
TL;DR: It is shown that 5‐FU significantly alters the global expression profile of miRNAs in vitro, and target prediction and GO analysis suggest that these differentially expressed mi RNAs potentially target many oncogenes, tumor suppressor genes and genes related to programmed cell death, activation of immune response, and cellular catabolic processes.
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Label-free classification of cultured cells through diffraction imaging
Ke Dong,Yuanming Feng,Kenneth M. Jacobs,Jun Q. Lu,R. Scott Brock,Li V. Yang,Fred E. Bertrand,Mary A. Farwell,Xin-Hua Hu +8 more
TL;DR: The method of diffraction imaging flow cytometry has the capacity as a platform for high-throughput and label-free classification of biological cells and demonstrates the potential for rapid classification among six types of cultured cells.
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