Microarray technology: basic methodology and application in clinical research for biomarker discovery in vascular diseases.
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[1] M. Gladwin,et al. Characterization of Whole Blood Gene Expression Profiles as a Sequel to Globin mRNA Reduction in Patients with Sickle Cell Disease , 2009, PloS one.
[2] S. Gregory,et al. Laser capture microdissection and genetic analysis of carbon-labeled Kupffer cells. , 2009, World journal of gastroenterology.
[3] T. Goralski,et al. Overcoming challenges of using blood samples with gene expression microarrays to advance patient stratification in clinical trials. , 2005, Drug discovery today.
[4] Y. Lee,et al. Journal of Clinical Laboratory Analysis 19:182–188 (2005) Optimization of the PAXgene TM Blood RNA Extraction System for Gene Expression Analysis of Clinical Samples , 2022 .
[5] Ming-Chung Li,et al. Histological staining methods preparatory to laser capture microdissection significantly affect the integrity of the cellular RNA , 2006, BMC Genomics.
[6] M. Hellmich,et al. Comparison of different isolation techniques prior gene expression profiling of blood derived cells: impact on physiological responses, on overall expression and the role of different cell types , 2004, The Pharmacogenomics Journal.
[7] Lan Li,et al. Microarray gene profiling of laser-captured cells: a new tool to study atherosclerosis in mice. , 2008, Atherosclerosis.
[8] E. Wagner. Monitoring gene expression: quantitative real-time rt-PCR. , 2013, Methods in molecular biology.
[9] É. Várallyay,et al. MicroRNA detection by northern blotting using locked nucleic acid probes , 2008, Nature Protocols.
[10] M. Gladwin,et al. Blood mononuclear cell gene expression profiles characterize the oxidant, hemolytic, and inflammatory stress of sickle cell disease. , 2004, Blood.
[11] D. Khatry,et al. Expression profiling of blood samples from an SU5416 Phase III metastatic colorectal cancer clinical trial: a novel strategy for biomarker identification , 2003, BMC Cancer.