Gene expression profiling using blood samples is a valuable tool for biomarker discovery in clinical studies. Different whole blood RNA collection and processing methods are highly variable and might confound comparisons of results across studies. The main aim of the current study is to compare how blood storage, extraction methodologies, and the blood components themselves may influence gene expression profiling. Whole blood and peripheral blood mononuclear cell (PBMC) samples were collected in triplicate from five healthy donors. Whole blood was collected in RNAgard® and PAXgene® Blood RNA Tubes, as well as in collection tubes with anticoagulants such as dipotassium ethylenediaminetetraacetic acid (K2EDTA) and Acid Citrate Dextrose Soluti...
BACKGROUND: Whole blood expression profiling is frequently performed using PAXgene (Qiagen) or Tempu...
RNA quality and quantity are important factors for ensuring the accuracy of gene expression analysis...
Background: Clinically useful biomarkers for patient stratification and monitoring of disease progre...
Peripheral Blood gene expression is widely used in the discovery of biomarkers and development of th...
Genomics tools (gene- and protein-expression studies) can be used to find possible target genes invo...
Monitoring changes in the immune profile in blood samples can help identifying changes in tumor biol...
<div><p>Transportation of samples is essential for large-scale biobank projects. However, RNA degrad...
AIMS: Prior to implementing gene expression analyses from blood to a larger cohort study, an evaluat...
BACKGROUND: Readily accessible samples such as peripheral blood or cell lines are increasingly being...
Background: Peripheral blood mononuclear cells (PBMCs) are widely used as a model in the study of di...
Background: Gene expression profiling from peripheral blood is a valuable tool for biomarker discove...
Monitoring changes in the immune profile in blood samples can help identifying changes in tumor bio...
Background Transcriptional profiling with ultra-low input methods can yield valuabl...
blood to p microarrays is a new analytical platform for biomedical genome on the Affymetrix Inc. (Sa...
RNA quality and quantity are important factors for ensuring the accuracy of gene expression analysis...
BACKGROUND: Whole blood expression profiling is frequently performed using PAXgene (Qiagen) or Tempu...
RNA quality and quantity are important factors for ensuring the accuracy of gene expression analysis...
Background: Clinically useful biomarkers for patient stratification and monitoring of disease progre...
Peripheral Blood gene expression is widely used in the discovery of biomarkers and development of th...
Genomics tools (gene- and protein-expression studies) can be used to find possible target genes invo...
Monitoring changes in the immune profile in blood samples can help identifying changes in tumor biol...
<div><p>Transportation of samples is essential for large-scale biobank projects. However, RNA degrad...
AIMS: Prior to implementing gene expression analyses from blood to a larger cohort study, an evaluat...
BACKGROUND: Readily accessible samples such as peripheral blood or cell lines are increasingly being...
Background: Peripheral blood mononuclear cells (PBMCs) are widely used as a model in the study of di...
Background: Gene expression profiling from peripheral blood is a valuable tool for biomarker discove...
Monitoring changes in the immune profile in blood samples can help identifying changes in tumor bio...
Background Transcriptional profiling with ultra-low input methods can yield valuabl...
blood to p microarrays is a new analytical platform for biomedical genome on the Affymetrix Inc. (Sa...
RNA quality and quantity are important factors for ensuring the accuracy of gene expression analysis...
BACKGROUND: Whole blood expression profiling is frequently performed using PAXgene (Qiagen) or Tempu...
RNA quality and quantity are important factors for ensuring the accuracy of gene expression analysis...
Background: Clinically useful biomarkers for patient stratification and monitoring of disease progre...