uantitative real-time polymerase chain reaction (PCR) is regarded as the gold standard for molecular profiling and target identification, but not in the context of high-throughput screening owing to limitations on workflow, cost of reagents, and miniaturization opportunities. Recent advances have moved reverse transcription quantitative PCR (RT-qPCR) forward, such as improvements in liquid handling, the launch of higher throughput platforms, and the release of one-step products. These one-step reagents enable the user to go straight from a cellular assay format to qPCR without the need for cumbersome and potentially expensive multistep RNA purification protocols. Our aim was to investigate the use of a one-step accelerated workflow to measure the levels of epidermal growth factor receptor (EGFR) and nuclear factor erythroid 2 (NF-E2)-related factor 2 (Nrf2) gene expression using lysates generated by the RealTime ready Cell Lysis kit in downstream quantitative RT-qPCR. We present, for the first time, data from a vendor-independent one-step 1536 workflow that compares reporter gene and RT-qPCR screening approaches for oncology drug discovery. We also demonstrate a miniaturized and high-throughput workflow that could enable future application of this sensitive assay technology, with particular impact against phenotypic assays and those using rare cell types.

Quantitative measurement of the levels of mRNA expression using real-time reverse transcription polymerase chain reaction (RT-PCR) has long been used for analyzing expression differences in tissue or cell lines of interest. This method has been used somewhat less frequently to measure the changes in gene expression due to perturbagens such as small molecules or siRNA. The availability of new instrumentation for liquid handling and real-time PCR analysis as well as the commercial availability of start-to-finish kits for RT-PCR has enabled the use of this method for high-throughput small-molecule screening on a scale comparable to traditional high-throughput screening (HTS) assays. This protocol focuses on the special considerations necessary for using quantitative RT-PCR as a primary small-molecule screening assay, including the different methods available for mRNA isolation and analysis.

Despite substantial progress, pathogenesis and therapy of chronic pain are still the focus of many investigations. The ATP-gated P2X7 receptor (P2X7R) has previously been shown to play a central role in animal models of nociceptive inflammatory and neuropathic pain. Recently, we found that the adaptive immune system is involved in the pathophysiology of chronic nociceptive and neuropathic pain in humans. So far, data regarding P2X7R expression patterns on cells of the adaptive immune system of pain patients are scarce. We therefore analyzed the P2X7R expression on peripheral blood lymphocytes and monocytes, as well as serum levels of IL-1β in patients suffering from chronic nociceptive and neuropathic pain in comparison to healthy volunteers in order to identify individuals who might benefit from a P2X7R modulating therapy.

Although RNA isolation is a routine process in gene expression analysis studies, the applicability of most widely available formalin-fixed, paraffin-embedded (FFPE) samples is still limited compared to fresh frozen tissue samples due to the lower quality of the isolated RNA. Recently, novel automated isolation methods were developed in order to reduce manual sample handling and increase RNA quality and quantity. Here we present a comparison of the performance of fresh frozen and matched FFPE tissue samples obtained from the same surgically removed colonic specimens (10 normal, 10 CRC) in RT-PCR experiments. RNA isolations were performed with the automated MagNA Pure 96 Cellular RNA Large Volume Kit (Roche) compared to the manual RNeasy FFPE Mini Kit (Qiagen). Gene expression analysis of a colorectal cancer-specific marker set (with 7 genes: COL12A1, CXCL1, CXCL2, GREM1, IL1B, IL8, SLC7A5) was performed with array real-time PCR using Transcriptor First Strand cDNA Synthesis Kit (Roche) and RealTime ready assays on LightCycler^® 480 System (Roche). On the basis of the gene expression of the analyzed markers, fresh frozen tumorous and normal samples could be distinguished with 100% sensitivity and 100% specificity after both isolation methods. The FFPE samples could be distinguished by similarly high specificity and sensitivity with the MagNA Pure 96 isolated samples (sensitivity: 90,0%; specificity: 90,0%) and the samples isolated with manual Qiagen method (sensitivity: 85,0%; specificity: 70,0%). According to these results, FFPE samples isolated by automated methods can serve as valuable source for retrospective gene expression studies in the field of biomarker discovery and development.

BACKGROUND: A recently published transcript set is suitable for gene expression-based discrimination of normal colonic and colorectal cancer (CRC) biopsy samples. Our aim was to test the discriminatory power of the CRC-specific transcript set on independent biopsies and on formalin-fixed, paraffin-embedded (FFPE) tissue samples.METHODS: Total RNA isolations were performed with the automated MagNA Pure 96 Cellular RNA Large Volume Kit (Roche) from fresh frozen biopsies stored in RNALater (CRC (n = 15) and healthy colonic (n = 15)), furthermore from FFPE specimens including CRC (n = 15) and normal adjacent tissue (NAT) (n = 15) specimens next to the tumor. After quality and quantity measurements, gene expression analysis of a colorectal cancer-specific marker set with 11 genes (CA7, COL12A1, CXCL1, CXCL2, CHI3L1, GREM1, IL1B, IL1RN, IL8, MMP3, SLC5A7) was performed with array real-time PCR using Transcriptor First Strand cDNA Synthesis Kit (Roche) and RealTime ready assays on LightCycler򮒀 System (Roche). In situ hybridization for two selected transcripts (CA7, CXCL1) was performed on NAT (n = 3), adenoma (n = 3) and CRC (n = 3) FFPE samples.RESULTS: Although analytical parameters of automatically isolated RNA samples showed differences between fresh frozen biopsy and FFPE samples, both quantity and the quality enabled their application in gene expression analyses. CRC and normal fresh frozen biopsy samples could be distinguished with 93.3% sensitivity and 86.7% specificity and FFPE samples with 96.7 and 70.0%, respectively. In situ hybridization could confirm the upregulation of CXCL1 and downregulation of CA7 in colorectal adenomas and tumors compared to healthy controls.CONCLUSION: According to our results, gene expression analysis of the analyzed colorectal cancer-specific marker set can also be performed from FFPE tissue material. With the addition of an automated workflow, this marker set may enhance the objective classification of colorectal neoplasias in the routine procedure in the future.