Project description:The genes had different expression between healthy people and acute myocardial infarction.We aimed to identify the differentially expressed genes involved in acute myocardial infarction in Northeast Chinese Han people. We used microarrays to detail the global programme of gene expression to identify the differentially gene between the patients with acute myocardial infarction and healthy people in Northeast Chinese Han people
Project description:To investigate the transcriptomes in colorectal cancer patients, who were diagnosed and treated at Siriraj Hospital, Thailand, we performed gene expression profiling analysis using data obtained from RNA-seq and Nanostring platforms.
Project description:To investigate the transcriptomes in colorectal cancer patients, who were diagnosed and treated at Siriraj Hospital, Thailand, we performed gene expression profiling analysis using data obtained from RNA-seq and Nanostring platforms.
Project description:The temporal evolution of sepsis was monitored by transcriptional profiling of five critically ill children with meningococcal sepsis and sepsis-induced multiple organ failure. Blood was sampled at 6 time points during the first 48 hours of their admission to pediatric intensive care, where the children received standard clinical treatment including organ support and antimicrobial therapy. Striking transcript instability was observed over the 48 hours, with increasing numbers of regulated genes over time. Most notably, proposed biomarkers for sepsis risk stratification also showed expression instability, with varied expression levels over 48 hours. This study demonstrates the extent of the complexity of temporal changes in gene expression that occur during the evolution of sepsis-induced multiple organ failure. Importantly, stratification tools that propose expression of biomarkers must take into account the temporal changes, over the use of single snapshots that may be less informative.
Project description:The peripheral whole-blood transcriptome analysis has been used to the identification of biomarkers in different clinical syndromes. The ability to simultaneously measure the gene expression levels of the whole transcriptome is providing a broader view of clinical syndromes such as sepsis. The aim of this study was to assess the gene expression profiles of post-surgical patients with septic shock compared with patients without sepsis.