Browsing by Subject "biomarker"
Now showing items 1-9 of 9
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(2019-04-15)Selective reaction monitoring (SRM) has become one of the main methods for low-mass range targeted proteomics by mass spectrometry (MS). However, in most SRM-MS biomarker validation studies the sample size is very small, ...
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(Texas A&M University, 2004-09-30)The Caspian region and specifically the Apsheron peninsula of Azerbaijan is known to be polluted with a variety of environmental contaminants, making risk assessment difficult. The wetlands of Sumgayit contain particularly ...
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A common phenolic metabolite of pyrene, 1-hydroxypyrene (1-OHP), is often used as a biomarker to assess polycyclic aromatic hydrocarbon (PAH) exposure. The developed high-performance liquid chromatography with mass ...
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(2022-10-17)Angelman syndrome is a rare neurogenetic disorder that leads to severe motor deficits, intellectual disability, and seizures. It arises from the loss of expression of the maternal allele of UBE3A in central nervous system ...
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(2023-06-14)Per and polyfluoroalkyl substances (PFASs) are a group of emerging pollutants that have been of increasing regulatory concern due to their persistence in the environment, toxicity, and potential to accumulate in biota. ...
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Prostate Cancer Epigenetic Mechanism Study and Biomarker Discovery Using Bioinformatics Approaches (2021-06-10)Most screening-detected prostate cancer (PCa) is indolent and not lethal. Biomarkers that can predict aggressive diseases independent of clinical features are needed to improve risk stratification of localized PCa patients ...
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(2018-07-10)Chronic kidney disease (CKD) is a significant cause of death in dogs. However, the gene and microRNA (miRNA) expression profile that affects progression in CKD has only been partially characterized. Dogs with X-linked ...
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(2013-05-03)In April 2010, approximately 4.9 million barrels of oil were accidentally released into the Gulf of Mexico during the Deepwater Horizon Macondo Mc252 Oil Spill. Some of the surface oil was carried by prevailing winds and ...
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(Texas A&M University, 2005-11-01)Wavelet methods possess versatile properties for statistical applications. We would like to explore the advantages of using wavelets in the analyses in two different research areas. First of all, we develop an integrated ...