High-throughput Reverse Transcription Research Articles

Association of fecal and serum microRNA profiles with gastrointestinal cancer and chronic inflammatory enteropathy in dogs.

Reliable biomarkers to differentiate gastrointestinal cancer (GIC) from chronic inflammatory enteropathy (CIE) in dogs are needed. Fecal and serum microRNAs (miRNAs) have been proposed as diagnostic and prognostic markers of GI disease in humans and dogs. Dogs with GIC have fecal and serum miRNA profiles that differ from those of dogs with CIE. (a) identify miRNAs that differentiate GIC from CIE, (b) use high-throughput reverse transcription quantitative real-time PCR (RT-qPCR) to establish fecal and serum miRNA panels to distinguish GIC from CIE in dogs. Twenty-four dogs with GIC, 10 dogs with CIE, and 10 healthy dogs, all client-owned. An international multicenter observational prospective case-control study. Small RNA sequencing was used to identify fecal and serum miRNAs, and RT-qPCR was used to establish fecal and serum miRNA panels with the potential to distinguish GIC from CIE. The best diagnostic performance for distinguishing GIC from CIE was fecal miR-451 (AUC: 0.955, sensitivity: 86.4%, specificity: 100%), miR-223 (AUC: 0.918, sensitivity: 90.9%, specificity: 80%), and miR-27a (AUC: 0.868, sensitivity: 81.8%, specificity: 90%) and serum miR-20b (AUC: 0.905, sensitivity: 90.5%, specificity: 90%), miR-148a-3p (AUC: 0.924, sensitivity: 85.7%, specificity: 90%), and miR-652 (AUC: 0.943, sensitivity: 90.5%, specificity: 90%). Slightly improved diagnostic performance was achieved when combining fecal miR-451 and miR-223 (AUC: 0.973, sensitivity: 95.5%, specificity: 90%). When used as part of a diagnostic RT-qPCR panel, the abovementioned miRNAs have the potential to function as noninvasive biomarkers for the differentiation of GIC and CIE in dogs.

Development of a high-throughput RT-PCR based viral infectivity assay for monitoring the stability of a replicating recombinant Lymphocytic Choriomeningitis viral vector

Traditional virus infectivity titration methods for lymphocytic choriomeningitis virus (LCMV) are laborious, time-consuming, and low-throughput (e.g., focus forming unit (FFA) assay). In this report, we developed a high-throughput reverse transcription quantitative PCR (RT-qPCR)-based virus infectivity assay for relative quantitation of a live, recombinant replicating LCMV -based viral vector (TT1). This in vitro infectivity assay demonstrated a 4-log linear range for TT1 titer quantitation. A high positive Pearson correlation coefficient value (≥ 0.80) was obtained between the RT-qPCR vs. the “gold-standard” FFU assay when comparing the stability profiles of stressed TT1 vector samples. In addition to the RT-qPCR infectivity assay, the stability of the TT1 vector upon freeze-thaw stress was investigated further with complementary viral particle characterization techniques (e.g., TEM, NTA, MFI). Correlations between viral infectivity and particle measurements during forced degradation studies were observed to be specific to the TT1 vector and its various formulations and such results facilitated the rank-ordering of formulation conditions. Overall, this infectivity RT-qPCR method showed increased sample throughput and improved assay flexibility compared to traditional viral infectivity assays. These results are discussed in the context of enabling future TT1 vector formulation development work, and potential utilization as an in-process monitoring tool during TT1 vector manufacturing.

Transversal gene expression panel to evaluate intestinal health in broiler chickens in different challenging conditions

There is a high interest on gut health in poultry with special focus on consequences of the intestinal diseases, such as coccidiosis and C. perfringens-induced necrotic enteritis (NE). We developed a custom gene expression panel, which could provide a snapshot of gene expression variation under challenging conditions. Ileum gene expression studies were performed through high throughput reverse transcription quantitative real-time polymerase chain reaction. A deep review on the bibliography was done and genes related to intestinal health were selected for barrier function, immune response, oxidation, digestive hormones, nutrient transport, and metabolism. The panel was firstly tested by using a nutritional/Clostridium perfringens model of intestinal barrier failure (induced using commercial reused litter and wheat-based diets without exogenous supplementation of enzymes) and the consistency of results was evaluated by another experiment under a coccidiosis challenge (orally gavaged with a commercial coccidiosis vaccine, 90× vaccine dose). Growth traits and intestinal morphological analysis were performed to check the gut barrier failure occurrence. Results of ileum gene expression showed a higher expression in genes involved in barrier function and nutrient transport in chickens raised in healthy conditions, while genes involved in immune response presented higher expression in C.perfringens-challenged birds. On the other hand, the Eimeria challenge also altered the expression of genes related to barrier function and metabolism, and increased the expression of genes related to immune response and oxidative stress. The panel developed in the current study gives us an overview of genes and pathways involved in broiler response to pathogen challenge. It also allows us to deep into the study of differences in gene expression pattern and magnitude of responses under either a coccidial vaccine or a NE.

Discovery and surveillance of viruses from salmon in British Columbia using viral immune-response biomarkers, metatranscriptomics, and high-throughput RT-PCR.

The emergence of infectious agents poses a continual economic and environmental challenge to aquaculture production, yet the diversity, abundance, and epidemiology of aquatic viruses are poorly characterised. In this study, we applied salmon host transcriptional biomarkers to identify and select fish in a viral disease state, but only those that were negative for known viruses based on RT-PCR screening. These fish were selected for metatranscriptomic sequencing to discover potential viral pathogens of dead and dying farmed Atlantic (Salmo salar) and Chinook (Oncorhynchus tshawytscha) salmon in British Columbia (BC). We found that the application of the biomarker panel increased the probability of discovering viruses in aquaculture populations. We discovered two viruses that have not previously been characterised in Atlantic salmon farms in BC (Atlantic salmon calicivirus and Cutthroat trout virus-2), as well as partially sequenced three putative novel viruses. To determine the epidemiology of the newly discovered or emerging viruses, we conducted high-throughput reverse transcription polymerase chain reaction (RT-PCR) and screened over 9,000 farmed and wild salmon sampled over one decade. Atlantic salmon calicivirus and Cutthroat trout virus-2 were in more than half of the farmed Atlantic salmon we tested. Importantly we detected some of the viruses we first discovered in farmed Atlantic salmon in Chinook salmon, suggesting a broad host range. Finally, we applied in situ hybridisation to determine infection and found differing cell tropism for each virus tested. Our study demonstrates that continual discovery and surveillance of emerging viruses in these ecologically important salmon will be vital for management of both aquaculture and wild resources in the future.

High-Throughput Quantitative RT-PCR in Single and Bulk C. elegans Samples Using Nanofluidic Technology.

This paper presents a high-throughput reverse transcription quantitative PCR (RT-qPCR) assay for Caenorhabditis elegans that is fast, robust, and highly sensitive. This protocol obtains precise measurements of gene expression from single worms or from bulk samples. The protocol presented here provides a novel adaptation of existing methods for complementary DNA (cDNA) preparation coupled to a nanofluidic RT-qPCR platform. The first part of this protocol, named 'Worm-to-CT', allows cDNA production directly from nematodes without the need for prior mRNA isolation. It increases experimental throughput by allowing the preparation of cDNA from 96 worms in 3.5 h. The second part of the protocol uses existing nanofluidic technology to run high-throughput RT-qPCR on the cDNA. This paper evaluates two different nanofluidic chips: the first runs 96 samples and 96 targets, resulting in 9,216 reactions in approximately 1.5 days of benchwork. The second chip type consists of six 12 x 12 arrays, resulting in 864 reactions. Here, the Worm-to-CT method is demonstrated by quantifying mRNA levels of genes encoding heat shock proteins from single worms and from bulk samples. Provided is an extensive list of primers designed to amplify processed RNA for the majority of coding genes within the C. elegans genome.

Impact of Endocytosis and Lysosomal Acidification on the Toxicity of Copper Oxide Nano- and Microsized Particles: Uptake and Gene Expression Related to Oxidative Stress and the DNA Damage Response.

The toxicity of the copper oxide nanoparticles (CuO NP) has been attributed to the so-called “Trojan horse”-type mechanism, relying on the particle uptake and extensive intracellular release of copper ions, due to acidic pH in the lysosomes. Nevertheless, a clear distinction between extra- and intracellular-mediated effects is still missing. Therefore, the impact of the endocytosis inhibitor hydroxy-dynasore (OH-dyn), as well as bafilomycin A1 (bafA1), inhibiting the vacuolar type H+-ATPase (V-ATPase), on the cellular toxicity of nano- and microsized CuO particles, was investigated in BEAS 2 B cells. Selected endpoints were cytotoxicity, copper uptake, glutathione (GSH) levels, and the transcriptional DNA damage and (oxidative) stress response using the high-throughput reverse transcription quantitative polymerase chain reaction (RT-qPCR). OH-dyn markedly reduced intracellular copper accumulation in the cases of CuO NP and CuO MP; the modulation of gene expression, induced by both particle types affecting especially HMOX1, HSPA1A, MT1X, SCL30A1, IL8 and GADD45A, were completely abolished. BafA1 lowered the intracellular copper concentration in case of CuO NP and strongly reduced transcriptional changes, while any CuO MP-mediated effects were not affected by bafA1. In conclusion, the toxicity of CuO NP depended almost exclusively upon dynamin-dependent endocytosis and the intracellular release of redox-active copper ions due to lysosomal acidification, while particle interactions with cellular membranes appeared to be not relevant.

HiPS Cell-Derived Neurons for High-Throughput Screening.

Human induced pluripotent stem (hiPS) cell-derived neurons promise to provide better model cells for drug discovery in the context of neurodegenerative and neuropsychiatric diseases. The neuronal differentiation protocol described encompasses a cellular amplification phase for hiPS-derived neural progenitor (NP) cells. Thus, the combination of growth factor-driven expansion and inhibition of notch (GRINCH) enabled the scalable production of neurons in sufficient numbers to meet the immense material needs of a high-throughput screening (HTS) campaign. These GRINCH cells matured in 384-well microplates display neuronal markers and electrophysiological activity. The differentiation protocol was applicable to various human hiPS cell clones. In a finding and profiling campaign for modulators of the tropomyosin receptor kinase B (TrkB), the GRINCH neurons were shown to be suitable for measuring the phosphorylation and downstream signaling of the endogenously expressed TrkB. The employed techniques in the amplified luminescent proximity homogeneous assay (Alpha) and the high-throughput reverse transcription polymerase chain reaction (RT-PCR) format are transferable to other pharmaceutical drug targets. Together with the GRINCH neurons, these detection technologies open new experimental routes with tremendous potential for early drug discovery.

CD15+ granulocyte and CD8+ T lymphocyte based gene expression clusters for ischemic stroke detection

Using whole blood and peripheral blood mononuclear cells, microarray-derived gene expression profiles have shown promise for the detection of acute ischemic stroke. Circulating leukocytes contain multiple cellular subsets of highly specific functions that may provide more powerful and more specific stroke detection than whole blood based expression profiles. The objectives of this study were to determine the cellular sources of gene expression changes in whole blood in ischemic stroke and the utility of leukocyte subset profiles for stroke detection. Using high-throughput reverse transcription real time PCR, the absolute expression of 41 stroke-related transcripts identified in whole blood and peripheral blood mononuclear cells was quantified in 6 major leukocyte subsets – CD15+ granulocytes, CD14+ monocytes, CD4+ T lymphocytes, CD8+ T lymphocytes, γδTCR+ cells and CD20+ B lymphocytes. Hierarchical cluster analyses were used to identify clusters of cell subset specific gene expression patterns for ischemic stroke detection. CD15+ granulocytes and CD8+ T lymphocytes were found to be the major sources of the expression changes in ischemic stroke, with 14 and 16 genes up-regulated respectively. None of the genes were significantly altered in CD14+ monocytes or CD20+ B lymphocytes. Multiple clusters of transcripts were identified that discriminated between ischemic stroke and control, most notably in CD15+ granulocytes (p=2.88e-5) and CD8+T lymphocytes (p=1.71e-5). A CD15+ granulocyte-derived 3 gene cluster (CA4, MMP9, NAIP) showed high accuracy for ischemic stroke detection (AUC=0.813) and was 100% sensitive in a validation cohort. We conclude that transcripts identified in microarray studies in circulating leukocytes in stroke are predominantly expressed in CD15+ granulocytes and CD8+ T lymphocytes. Leukocyte subset specific gene expression clusters show promise for ischemic stroke detection.

MicroRNA Signature of Cigarette Smoking and Evidence for a Putative Causal Role of MicroRNAs in Smoking-Related Inflammation and Target Organ Damage.

Cigarette smoking increases risk for multiple diseases. MicroRNAs regulate gene expression and may play a role in smoking-induced target organ damage. We sought to describe a microRNA signature of cigarette smoking and relate it to smoking-associated clinical phenotypes, gene expression, and lung inflammatory signaling. Expression profiling of 283 microRNAs was conducted on whole blood-derived RNA from 5023 Framingham Heart Study participants (54.0% women; mean age, 55±13 years) using TaqMan assays and high-throughput reverse transcription quantitative polymerase chain reaction. Associations of microRNA expression with smoking status and associations of smoking-related microRNAs with inflammatory biomarkers and pulmonary function were tested with linear mixed effects models. We identified a 6-microRNA signature of smoking. Five of the 6 smoking-related microRNAs were associated with serum levels of C-reactive protein or interleukin-6; miR-1180 was associated with pulmonary function measures at a marginally significant level. Bioinformatic evaluation of smoking-associated genes coexpressed with the microRNA signature of cigarette smoking revealed enrichment for immune-related pathways. Smoking-associated microRNAs altered expression of selected inflammatory mediators in cell culture gain-of-function assays. We characterized a novel microRNA signature of cigarette smoking. The top microRNAs were associated with systemic inflammatory markers and reduced pulmonary function, correlated with expression of genes involved in immune function, and were sufficient to modulate inflammatory signaling. Our results highlight smoking-associated microRNAs and are consistent with the hypothesis that smoking-associated microRNAs serve as mediators of smoking-induced inflammation and target organ damage. These findings call for further mechanistic studies to explore the diagnostic and therapeutic use of smoking-related microRNAs.

Upscaling of hiPS Cell–Derived Neurons for High-Throughput Screening

The advent of human-induced pluripotent stem (hiPS) cell–derived neurons promised to provide better model cells for drug discovery in the context of the central nervous system. This work demonstrates both the upscaling of cellular expansion and the acceleration of neuronal differentiation to accommodate the immense material needs of a high-throughput screening (HTS) approach. Using GRowth factor–driven expansion and INhibition of NotCH (GRINCH) during maturation, the derived cells are here referred to as GRINCH neurons. GRINCH cells displayed neuronal markers, and their functional activity could be demonstrated by electrophysiological recordings. In an application of GRINCH neurons, the brain-derived neurotrophic factor (BDNF)–mediated activation of tropomyosin receptor kinase (TrkB) was investigated as a promising drug target to treat synaptic dysfunctions. To assess the phosphorylation of endogenous TrkB in the GRINCH cells, the highly sensitive amplified luminescent proximity homogeneous assay LISA (AlphaLISA) format was established as a primary screen. A high-throughput reverse transcription (RT)–PCR format was employed as a secondary assay to analyze TrkB-mediated downstream target gene expression. In summary, an optimized differentiation protocol, highly efficient cell upscaling, and advanced assay miniaturization, combined with increased detection sensitivity, pave the way for a new generation of predictive cell-based drug discovery.

Using gene expression profiling to identify a prognostic molecular spectrum in gliomas

Histopathological classification of gliomas is often clinically inadequate due to the diversity of tumors that fall within the same class. The goal of the present study was to identify prognostic molecular features in diffusely infiltrating gliomas using gene expression profiling. We selected 3456 genes expressed in gliomas, including 3012 genes found in a gliomal expressed sequence tag collection. The expression levels of these genes in 152 gliomas (100 glioblastomas, 21 anaplastic astrocytomas, 19 diffuse astrocytomas, and 12 anaplastic oligodendrogliomas) were measured using adapter-tagged competitive polymerase chain reaction, a high-throughput reverse transcription-polymerase chain reaction technique. We applied unsupervised and supervised principal component analyses to elucidate the prognostic molecular features of the gliomas. The gene expression data matrix was significantly correlated with the histological grades, oligo-astro histology, and prognosis. Using 110 gliomas, we constructed a prediction model based on the expression profile of 58 genes, resulting in a scheme that reliably classified the glioblastomas into two distinct prognostic subgroups. The model was then tested with another 42 tissues. Multivariate Cox analysis of the glioblastoma patients using other clinical prognostic factors, including age and the extent of surgical resection, indicated that the gene expression profile was a strong and independent prognostic parameter. The gene expression profiling identified clinically informative prognostic molecular features in astrocytic and oligodendroglial tumors that were more reliable than the traditional histological classification scheme.