Project description:Early diagnosis of cancer has been shown to substantially improve 5-year survival rates for many cancer types. With current methodologies early diagnosis has proven difficult for cancers of deep tissues, such as the pancreas and lung. However, whole peripheral blood has been demonstrated to be a promising non-invasive surrogate tissue for the detection of many types of cancer. Blood samples were collected in EDTA blood collection tubes from 2,485 human volunteers and gene expression profiled with the goal to develop a classification model that differentiations patients with cancer from those without cancer.
Project description:We conducted a study on variation in the human peripheral blood transcriptome using the PAXgeneTM Blood RNA System (PreAnalytix) and GeneChip Human Genome U133 plus 2.0 Array (Affymetrix). Data regarding the RNA integrity number (RIN) and complete blood count (CBC) for each healthy individual were collected and combined with gene expression profiles to characterize both biological and technological variation. The effect of RNA sample degradation on microarray performance in peripheral blood transcriptome analysis was also investigated.
Project description:To identify the differences between human umbilical cord blood and peripheral blood monocytes, we performed unsupervised bioinformatic analyses by microarrays.
Project description:Gene expression level in PBLs (peripheral blood leukocytes) could serve as biomarkers for symptomatic knee osteroarthritis (OA). We used microarrays to detail the significant genes that are down/up regulated in OA PBLs by studying both the control and OA groups. We would like to acknowledge NIAMS support through (AR052873 & AR054817) and U01-AR050911.