نتایج جستجو برای: gc analysis
تعداد نتایج: 2846962 فیلتر نتایج به سال:
We aimed to globally discover serum biomarkers for diagnosis of gastric cancer (GC). GC serum autoantibodies were discovered and validated using serum samples from independent patient cohorts encompassing 1,401 participants divided into three groups, i.e. healthy, GC patients, and GC-related disease group. To discover biomarkers for GC, the human proteome microarray was first applied to screen ...
Pesticide analysis of fruits and vegetables requires finding trace-level residues in complex matrices. Up to now, the typical trade-off is between sensitivity and confirmation. Therefore, multiple injections are needed for screening and confirmation using gas chromatography with mass spectrometry (GC-MS) or GC-MS in combination with GC with element-selective detection. With the recent introduct...
Matrix metalloproteinases (MMPs) are closely associated with tumor proliferation, invasion and metastasis. In this study, we determined the MMPs expression and their clinical significances in gastric cancer (GC). We first extensive studied MMPs expression in GC in The Cancer Genome Atlas (TCGA) RNA sequence database and found MMP16 was candidate biomarker in GC. Then we validated clinical signi...
Relative to other metabolomics analysis techniques, gas chromatography mass spectrometry (GC/MS) is one of the earliest applied analysis techniques in metabolomics. The first paper on metabolomics (metabolic profiling) is derived from the application of GC/MS analysis in urine and tissue extracts (Dalgliesh et al. 1966). With the arrival of omics era and the proposing of metabolomics concept, p...
Gastric cancer (GC) is often a deadly disease due to the late diagnosis and chemoresistance that characterizes many cases of this disease. The aim of this study was to explore a panel of candidate cytokines as diagnostic and predictive biomarkers for GC. Sixteen tissue samples of GC and adjacent noncancerous mucosa were selected from GC patients (n=8) for antibody microarray analysis. Proteomic...
How to characterize information flows in physical, biological, and social systems remains a major theoretical challenge. Granger causality (GC) analysis has been widely used to investigate information flow through causal interactions. We address one of the central questions in GC analysis, that is, the reliability of the GC evaluation and its implications for the causal structures extracted by ...
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