miR-9 utilizes precursor pathways in adaptation to alcohol in mouse striatal neurons.

microRNA-9 (miR-9) is one of the most abundant microRNAs in the mammalian brain, essential for its development and normal function. In neurons, it regulates the expression of several key molecules, ranging from ion channels to enzymes, to transcription factors broadly affecting the expression of many genes. The neuronal effects of alcohol, one of the most abused drugs in the world, seem to be at least partially dependent on regulating the expression of miR-9. We previously observed that molecular mechanisms of the development of alcohol tolerance are miR-9 dependent. Since a critical feature of alcohol action is temporal exposure to the drug, we decided to better understand the time dependence of alcohol regulation of miR-9 biogenesis and expression. We measured the effect of intoxicating concentration of alcohol (20 mM ethanol) on the expression of all major elements of miR-9 biogenesis: three pri-precursors (pri-mir-9-1, pri-mir-9-2, pri-mir-9-3), three pre-precursors (pre-mir-9-1, pre-mir-9-2, pre-mir-9-3), and two mature microRNAs: miR-9-5p and miR-9-3p, using digital PCR and RT-qPCR, and murine primary medium spiny neurons (MSN) cultures. We subjected the neurons to alcohol based on an exposure/withdrawal matrix of different exposure times (from 15 min to 24 h) followed by different withdrawal times (from 0 h to 24 h). We observed that a short exposure increased mature miR-9-5p expression, which was followed by a gradual decrease and subsequent increase of the expression, returning to pre-exposure levels within 24 h. Temporal changes of miR-9-3p expression were complementing miR-9-5p changes. Interestingly, an extended, continuous presence of the drug caused a similar pattern. These results suggest the presence of the adaptive mechanisms of miR-9 expression in the presence and absence of alcohol. Measurement of miR-9 pre- and pri-precursors showed further that the primary effect of alcohol on miR-9 is through the mir-9-2 precursor pathway with a smaller contribution of mir-9-1 and mir-9-3 precursors. Our results provide new insight into the adaptive mechanisms of neurons to alcohol exposure. It would be of interest to determine next which microRNA-based mechanisms are involved in a transition from the acute, intoxicating effects of alcohol to the chronic, addictive effects of the drug.

Highly Multiplex Real-Time PCR-Based Screening for Blood-Borne Pathogens on an OpenArray Platform.

Molecular diagnostics are increasingly used in the blood bank industry. A device that can combine simultaneous detection of multiple targets with the flexibility of inclusion of emerging pathogens is desirable for testing blood products. A highly multiplexed blood-borne pathogen panel (BBPP) using dual-label probe chemistry (TaqMan assays) was developed for simultaneous detection and discrimination of 17 viral pathogens in human plasma samples and 13 bacterial and protozoan pathogens in human blood samples on the OpenArray platform. The custom BBPP OpenArray plate was tested for specificity and analytical sensitivity with purified nucleic acids from each pathogen and with pathogen-spiked human blood and plasma samples. The results of analytical validation of known samples yielded decision trees for identification of coded samples: pathogens spiked in human plasma or whole blood. Results from coded samples demonstrated no false positives among the plasma or whole blood specimens. Samples not detected were at the lower limit of the detectible range or qualified for retesting as indeterminate. Further demonstration of the performance of the BBPP OpenArray was achieved with clinical samples from a blood donor testing organization. Ninety-five percent of virus-positive samples were correctly identified. These results show that a high-throughput OpenArray PCR platform can be expanded and adapted for higher discrimination and newly emerging agents, enabling consideration for development as a next-generation device for testing blood products.

Evaluation of quantitative miRNA expression platforms in the microRNA quality control (miRQC) study.

MicroRNAs are important negative regulators of protein-coding gene expression and have been studied intensively over the past years. Several measurement platforms have been developed to determine relative miRNA abundance in biological samples using different technologies such as small RNA sequencing, reverse transcription-quantitative PCR (RT-qPCR) and (microarray) hybridization. In this study, we systematically compared 12 commercially available platforms for analysis of microRNA expression. We measured an identical set of 20 standardized positive and negative control samples, including human universal reference RNA, human brain RNA and titrations thereof, human serum samples and synthetic spikes from microRNA family members with varying homology. We developed robust quality metrics to objectively assess platform performance in terms of reproducibility, sensitivity, accuracy, specificity and concordance of differential expression. The results indicate that each method has its strengths and weaknesses, which help to guide informed selection of a quantitative microRNA gene expression platform for particular study goals.

Multiplex screening for blood-borne viral, bacterial, and protozoan parasites using an OpenArray platform.

The use of nucleic acid tests for detection of pathogens has improved the safety of blood products. However, ongoing pathogen emergence demonstrates a need for development of devices testing for multiple pathogens simultaneously. One approach combines two proven technologies: Taqman chemistry for target identification and quantification and the OpenArray nanofluidic real-time PCR platform for spatial multiplexing of assays. A panel of Taqman assays was developed to detect nine blood-borne pathogens (BBPs): four viral, two bacterial, and three protozoan parasites. The custom BBP OpenArray plate with 18 assays was tested for specificity and analytical sensitivity for nucleic acid from each purified pathogen and with pathogen-spiked human blood and plasma samples. For most targets, the limits of detection (10 to 10,000 copies/mL) were comparable with existing real-time platforms. The testing of the BBP OpenArray with pathogen-spiked coded human plasma or blood samples and negative control specimens demonstrated no false-positive results among the samples tested and correctly identified pathogens with the lowest concentration detected ranging from 10 cells/mL (Trypanosoma cruzi) to 10,000 cells/mL (Escherichia coli). These results represent a proof of concept that indicated the BBP OpenArray platform in combination with Taqman chemistry may provide a multiplex real-time PCR pathogen detection method that points the way for a next-generation platform for infectious disease testing in blood.

TaqMan® OpenArray® high-throughput transcriptional analysis of human embryonic and induced pluripotent stem cells.

It is widely accepted that somatic cells can be reprogrammed by a set of transcription factors to become embryonic stem cell-like: These reprogrammed cells, induced pluripotent stem cells (iPSCs), are nearly identical to embryonic stem cells (ESCs), because both have the capacity to self-renew and to form all cellular lineages of the body. Transcriptional differences between ESCs, iPSCs, and fibroblasts can be analyzed by quantitative PCR (qPCR) using TaqMan(®) Gene Expression assays, a widely used tool for rapid analysis of different cell types. In this chapter, we describe the OpenArray(®) platform which generates qPCR data from high-throughput instrumentation. We examined the gene signature profiles of ESCs, fibroblasts, and iPSCs with a TaqMan(®) OpenArray(®) Human Stem Cell Panel containing 631 TaqMan(®) Gene Expression assays that represent pathways involved in self-renewal, pluripotency, lineage patterning, transcriptional networks, stem cell differentiation, and development.