Project description:To investigate the mechanisms that contribute to the pathogenesis resulting from SFTSV infection, transcriptomic analysis was performed with blood samples collected from SFTS patients.
Project description:Genome wide DNA methylation profiling of normal and ischemic stroke patients blood samples. The Illumina Infinium 850k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 850,000 CpGs in liquid. Samples included 3 healthy people blood samples, 3 ischemic stroke patients blood samples.
Project description:To compare gene expression in whole blood samples collected in PAXgene RNA or Tempus collection tubes, and processed using the PAXgene Blood RNA Kit or Tempus Spin RNA isolation Kit, respectively.
Project description:Whole blood RNA (PAXgene tubes) was collected from 14 Dengue patients after hospital admission. Additional samples were collected at later time points from 6 of the patients, and single samples were also collected from 4 healthy donors. RNA was amplified using the MessageAmp kit (Ambion), and reverse transcribed. Each sample was labelled with Cy5, and hybridized to a Lymphochip cDNA array along with amplified human reference RNA labelled with Cy3(Universal Human Reference RNA, Stratagene). Analysis was restricted to those array elements (LUIDs) with signal intensity/background of at least 2.5 in either channel for at least 80% (28/34) of the samples, and a regression correlation of 0.6. We characterized gene expression patterns associated with acute dengue infection, and identified a set of transcripts associated with diagnosis of Dengue Shock Syndrome.
Project description:Recombinant human erythropoietin administration studies involving transcriptomic approaches have demonstrated a gene-expression signature that could aid detection of blood doping. However, current anti-doping testing does not involve blood collection into tubes with RNA preservative. This study investigated if whole blood in long-term storage and whole blood leftover from standard haematological testing in short-term storage could be used for transcriptomic analysis despite lacking RNA preservative. Whole blood samples were collected from thirteen and fourteen healthy males, for long-term and short-term storage experiments. Long-term storage: whole blood collected into Tempus™ tubes and K2EDTA tubes and subjected to long-term (i.e., −80°C) storage and RNA extracted. After storage, K2EDTA tubes were thawed and extracted using GeneJET RNA Purification Kit (Thermo Fisher Scientific, Vilnius, Lithuania) or Tempus™ Spin RNA Isolation Kit (Life Technologies, Carlsbad, CA, USA). RNA quality and purity was sufficient for gene expression analysis. Principle Component Analysis of microarray and RNA-seq gene expression data for long-term storage: When comparing gene expression between blood tubes with and without RNA preservation, 6% (4058 transcripts) were differentially expressed. RNA quantity, purity and integrity was not significantly compromised from long-term storage in blood storage tubes lacking RNA preservative, indicating that transcriptomic analysis could be conducted using anti-doping samples collected or biobanked without RNA preservation.
Project description:Differential gene expression analysis was performed using array data collected from whole blood samples from SLE patients and healthy controls
Project description:Establishment of a tumor bank, consisting of blood samples of tumor patients and healthy people as controls. The blood samples will be collected systematically together with the corresponding clinical data. The biological samples, the clinical date together with prospective experimental date constitute the entity of the tumor bank.
Project description:Search for the biomarkers of major depressive disorder (MDD) has facilitated from the genes expressed in the patient’s blood cells. Because the severity of depressive symptoms and characteristics in patients with MDD are differed by the age at onset of first depressive episode, the potential transcriptomic markers in blood cells may also be different by the age at onset of MDD. In this study, we searched the transcriptomic markers of late-onset (onset ages ≥ 50 years) MDD (LOD) from the expressed genes in blood cells, and identified state-dependent biomarkers in the patients. We assessed the expressed genes in blood cells by the microarray and found that the expression levels of 3,066 probes were state-dependently changed in the blood cells of patients with LOD.