ABSTRACT
INTRODUCTION: The availability of blood collection systems with RNA stabilizing additives (e.g. PAXgene) has opened the field for gene expression profiling in large multi-center clinical trials. Here, we investigated whether the PAXgene system also offers a method for extraction of RNA from frozen EDTA blood samples, which do not yield RNA of high enough quality for RNA expression profiling, when extracted with standard protocols. METHODS: Whole blood was obtained from six healthy volunteers in conventional EDTA tubes and frozen. The thawed EDTA blood was transferred into PAXgene tubes, and the RNA was extracted using the PAXgene RNA extraction kit. Microarray analysis was performed to asses the effect of RNA quality on gene expression profiles. RESULTS: The RNA yield of the transferred samples was 1.76+/-0.88 microg/ml. This yield was clearly lower than the yield from a PAXgene reference group (2.84+/-0.62 microg/ml), but considerably higher than the yield resulting from a standard protocol usually applied to fresh EDTA blood samples (0.07+/-0.06 microg/ml). The RNA integrity number (RIN) of the transferred samples was 6.1+/-0.8 as compared to 9.8+/-0.1 for the PAXgene reference. Microarray analysis of the extracted RNA suggested that samples with RIN values above 5 produce data that fulfill the quality criteria defined by the manufacturer. DISCUSSION: The transfer of thawed EDTA blood into PAXgene blood collection tubes offers a method to recover sufficient RNA of acceptable quality for microarray experiments.
Subject(s)
Blood Preservation/methods , Edetic Acid/chemistry , Oligonucleotide Array Sequence Analysis/methods , RNA/isolation & purification , Adult , Blood Specimen Collection/methods , Edetic Acid/metabolism , Edetic Acid/pharmacology , Female , Gene Expression Profiling/methods , Humans , Male , Middle Aged , Models, Genetic , Quality Control , RNA/blood , RNA/genetics , Specimen Handling/instrumentation , Specimen Handling/methodsABSTRACT
UNLABELLED: We have created PhenomicDB, a multi-species genotype/phenotype database by merging public genotype/phenotype data from a wide range of model organisms and Homo sapiens. Until now these data were available in distinct organism-specific databases (e.g. WormBase, OMIM, FlyBase and MGI). We compiled this wealth of data into a single integrated resource by coarse-grained semantic mapping of the phenotypic data fields, by including common gene indices (NCBI Gene), and by the use of associated orthology relationships. With its use-case-oriented user interface, PhenomicDB allows scientists to compare and browse known phenotypes for a given gene or a set of genes from different organisms simultaneously. AVAILABILITY: PhenomicDB has been implemented at Schering AG as described below. A PhenomicDB implementation differing in some technical details has been set up for the public at Metalife AG http://www.phenomicDB.de SUPPLEMENTARY INFORMATION: database model, semantic mapping table.
