Health economic impact of a biopsy-based cell cycle gene expression assay in localized prostate cancer.

Background: Prior studies have established that broader incorporation of active surveillance, guided by additional prognostic tools, may mitigate the growing economic burden of localized prostate cancer in the USA. This study sought to further explore the potential of a particular gene expression-based prognostic tool to address this unmet need. Materials & methods: A deterministic, decision-analytic model was developed to estimate the economic impact of the Prolaris® test on a US commercial health plan. Results & conclusion: When adopted in patients classified by the American Urological Association as low or intermediate risk, the assay was projected to reduce costs by $1894 and $2129 per patient over 3 and 10 years, respectively, largely through the increased use of active surveillance.

Single-Cell RNA Sequencing with Drop-Seq.

Drop-Seq is a low-cost, high-throughput platform to profile thousands of cells by encapsualting them into individual droplets. Uniquely barcoded mRNA capture microparticles and cells are coconfined through a microfluidic device within the droplets where they undergo cell lysis and RNA hybridiztion. After breaking the droplets and pooling the hybridized particles, reverse transcription, PCR, and sequencing in single reactions allow to generate data from thousands of single-cell transcriptomes while maintaining information on the cellular origin of each transcript.

Seq-Well: A Sample-Efficient, Portable Picowell Platform for Massively Parallel Single-Cell RNA Sequencing.

Seq-Well is a low-cost picowell platform that can be used to simultaneously profile the transcriptomes of thousands of cells from diverse, low input clinical samples. In Seq-Well, uniquely barcoded mRNA capture beads and cells are co-confined in picowells that are sealed using a semipermeable membrane, enabling efficient cell lysis and mRNA capture. The beads are subsequently removed and processed in parallel for sequencing, with each transcript's cell of origin determined via the unique barcodes. Due to its simplicity and portability, Seq-Well can be performed almost anywhere.

High-Throughput Single-Cell Real-Time Quantitative PCR Analysis.

Examining transcriptomics of populations at the single-cell level allows for higher resolution when studying functionality in development, differentiation, and physiology. Real-time quantitative PCR (qPCR) enables a sensitive detection of specific gene expression; however, processing a large number of samples for single-cell research involves a time-consuming process and high reagent costs. Here we describe a protocol for single-cell qPCR using nanofluidic chips. This method reduces the number of handling steps and volumes per reaction, allowing for more samples and genes to be measured.

A fast and cost-effective microsampling protocol incorporating reduced animal usage for time-series transcriptomics in rodent malaria parasites.

BACKGROUND: The transcriptional regulation that occurs in malaria parasites during the erythrocytic stages of infection can be studied in vivo with rodent malaria parasites propagated in mice. Time-series transcriptome profiling commonly involves the euthanasia of groups of mice at specific time points followed by the extraction of parasite RNA from whole blood samples. Current methodologies for parasite RNA extraction involve several steps and when multiple time points are profiled, these protocols are laborious, time-consuming, and require the euthanization of large cohorts of mice. RESULTS: A simplified protocol has been designed for parasite RNA extraction from blood volumes as low as 20 µL (microsamples), serially bled from mice via tail snips and directly lysed with TRIzol reagent. Gene expression data derived from microsampling using RNA-seq were closely matched to those derived from larger volumes of leucocyte-depleted and saponin-treated blood obtained from euthanized mice with high reproducibility between biological replicates. Transcriptome profiling of microsamples taken at different time points during the intra-erythrocytic developmental cycle of the rodent malaria parasite Plasmodium vinckei revealed the transcriptional cascade commonly observed in malaria parasites. CONCLUSIONS: Microsampling is a quick, robust and cost-efficient approach to sample collection for in vivo time-series transcriptomic studies in rodent malaria parasites.

Low-cost, Low-bias and Low-input RNA-seq with High Experimental Verifiability based on Semiconductor Sequencing.

Low-input RNA-seq is powerful to represent the gene expression profiles with limited number of cells, especially when single-cell variations are not the aim. However, pre-amplification-based and molecule index-based library construction methods boost bias or require higher throughput. Here we demonstrate a simple, low-cost, low-bias and low-input RNA-seq with ion torrent semiconductor sequencing (LIEA RNA-seq). We also developed highly accurate and error-tolerant spliced mapping algorithm FANSe2splice to accurately map the single-ended reads to the reference genome with better experimental verifiability than the previous spliced mappers. Combining the experimental and computational advancements, our solution is comparable with the bulk mRNA-seq in quantification, reliably detects splice junctions and minimizes the bias with much less mappable reads.

Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology.

BACKGROUND: The arrival of RNA-seq as a high-throughput method competitive to the established microarray technologies has necessarily driven a need for comparative evaluation. To date, cross-platform comparisons of these technologies have been relatively few in number of platforms analyzed and were typically gene name annotation oriented. Here, we present a more extensive and yet precise assessment to elucidate differences and similarities in performance of numerous aspects including dynamic range, fidelity of raw signal and fold-change with sample titration, and concordance with qRT-PCR (TaqMan). To ensure that these results were not confounded by incompatible comparisons, we introduce the concept of probe mapping directed "transcript pattern". A transcript pattern identifies probe(set)s across platforms that target a common set of transcripts for a specific gene. Thus, three levels of data were examined: entire data sets, data derived from a subset of 15,442 RefSeq genes common across platforms, and data derived from the transcript pattern defined subset of 7,034 RefSeq genes. RESULTS: In general, there were substantial core similarities between all 6 platforms evaluated; but, to varying degrees, the two RNA-seq protocols outperformed three of the four microarray platforms in most categories. Notably, a fourth microarray platform, Agilent with a modified protocol, was comparable, or marginally superior, to the RNA-seq protocols within these same assessments, especially in regards to fold-change evaluation. Furthermore, these 3 platforms (Agilent and two RNA-seq methods) demonstrated over 80% fold-change concordance with the gold standard qRT-PCR (TaqMan). CONCLUSIONS: This study suggests that microarrays can perform on nearly equal footing with RNA-seq, in certain key features, specifically when the dynamic range is comparable. Furthermore, the concept of a transcript pattern has been introduced that may minimize potential confounding factors of multi-platform comparison and may be useful for similar evaluations.

Rapid and multiplex microRNA detection on graphically encoded silica suspension array.

MicroRNA (miRNA), an 18-24-nucleotide noncoding RNA molecule, has become an ideal class of biomarker candidates for clinical diagnosis of cancers. By now, a number of detection methods for miRNAs have been developed on planar arrays and suspension arrays. In this work, we describe a hybridization-triggered fluorescence strategy for label-free and multiplex miRNA detection on graphically encoded silica suspension array. The total RNA is directly applied for analysis with an 8-mer Universal Tag which can be selectively captured by the capture probe via base-stacking effects. Benefiting from base-stacking effects, this novel method exhibits superb discrimination ability toward the 5' and 3' end single-nucleotide alteration. Mature miRNAs can be distinguished from their corresponding pre-miRNAs easily. Moreover, the estimated detection limit of 5 amol is comparable to some of the most sensitive methods. All these mentioned characteristics offer exciting possibilities for discovery and clinical applications.

An automated microfluidic device for assessment of mammalian cell genetic stability.

Single-cell transcriptome contains reliable gene regulatory relationships because gene-gene interactions only happen within a mammalian cell. While the study of gene-gene interactions enables us to understand the molecular mechanism of cellular events and evaluate molecular characteristics of a mammalian cell population, its complexity requires an analysis of a large number of single-cells at various stages. However, many existing microfluidic platforms cannot process single-cells effectively for routine molecular analysis. To address these challenges, we develop an integrated system with individual controller for effective single-cell transcriptome analysis. In this paper, we report an integrated microfluidic approach to rapidly measure gene expression in individual cells for genetic stability assessment of a cell population. Inside this integrated microfluidic device, the cells are individually manipulated and isolated in an array using micro sieve structures, then transferred into different nanoliter reaction chambers for parallel processing of single-cell transcriptome analysis. This device enables us to manipulate individual single-cells into nanoliter reactor with high recovery rate. We have performed gene expression analysis for a large number of HeLa cells and 293T cells expanded from a single-cell. Our data shows that even the house-keeping genes are expressed at heterogeneous levels within a clone of cells. The heterogeneity of actin expression reflects the genetic stability, and the expression distribution is different between cancer cells (HeLa) and immortalized 293T cells. The result demonstrates that this platform has the potential for assessment of genetic stability in cancer diagnosis.

DNA millichips as a low-cost platform for gene expression analysis.

Our goal was to create a DNA chip that is as easy, convenient, and inexpensive as an agarose gel. For a first-generation solution, we describe a low-cost, easy-to-use de novo synthesis oligonucleotide microarray technology that draws on the inherent flexibility of the maskless array synthesizer for in situ synthesis of thousands of photolithographically produced oligonucleotides covalently attached to a microscope slide. The method involves physically subdividing the slide into 1 × 1 mm millichips that are hybridized to fluorescent RNA or DNA of biological origin, in a microfuge tube at an ordinary laboratory benchtop, rather than in dedicated hybridization chambers. Fluorescence intensity is then measured with a standard microscope rather than sophisticated DNA chip scanners. For proof of principle, we measured changes in the transcriptome of Arabidopsis (Arabidopsis thaliana) plants induced by growth in the presence of three major environmental abiotic stresses (temperature, light, and water status), in all possible combinations. Validation by comparison with quantitative reverse transcription PCR showed a high correlation coefficient and analysis of variance indicated a high technical reproducibility. These experiments demonstrate that low-cost DNA millichips can be made and reliably used at the benchtop in a normal laboratory setting, without assistance of core facilities containing costly specialized instrumentation.

Application of a novel and low cost technique to construct paraffin tissue microarrays out of paraffinised needle biopsy specimens from patients with breast cancer.

BACKGROUND: Paraffin tissue microarrays (TMAs) are a well accepted tool in pathology for high throughput molecular profiling, quality control and clinicopathological trials. No reports on TMAs constructed from paraffinised needle biopsy specimens (PNBSs) derived from patients with breast cancer can be found in the literature. PNBSs are sometimes the only source for tumour characterisation important for treatment. AIM: To develop a novel and low cost technique to construct TMAs from PNBSs (PNBSs-TMAs) in order to close this gap in TMA technology. METHODS: Using a skin biopsy punch, tumour-bearing parts of 84 PNBSs were punched out of the donor blocks, freed from the surrounding paraffin by melting and manually transferred into the preformed holes in the recipient block. After filling the holes, the PNBSs-TMA was fixed to a double sided adhesive tape and completely melted. Quality assessment of this new technique was performed comparing the HER2 status (synonym: cerbB2) of the PNBSs-TMA with the results of the original PNBSs and a TMA harbouring the tumour in corresponding resection and mastectomy specimens (RM-TMA). RESULTS: A 187-hole PNBSs-TMA with 84 PNBSs was successfully constructed. About 1% of the included PNBSs displayed signs of rolling and folding or of floating off the slide during the staining procedure. The results of immunohistochemistry, fluorescence in situ hybridisation and automated brightfield double in situ hybridisation showed high quality standard of the PNBSs-TMA, suitable for precise tumour profiling. CONCLUSIONS: PNBSs-TMAs are suitable for clinicopathological trials, especially those in which PNBSs are the only tumour source.

High-throughput, high-sensitivity analysis of gene expression in Arabidopsis.

High-throughput gene expression analysis of genes expressed during salt stress was performed using a novel multiplexed quantitative nuclease protection assay that involves customized DNA microarrays printed within the individual wells of 96-well plates. The levels of expression of the transcripts from 16 different genes were quantified within crude homogenates prepared from Arabidopsis (Arabidopsis thaliana) plants also grown in a 96-well plate format. Examples are provided of the high degree of reproducibility of quantitative dose-response data and of the sensitivity of detection of changes in gene expression within limiting amounts of tissue. The lack of requirement for RNA purification renders the assay particularly suited for high-throughput gene expression analysis and for the discovery of novel chemical compounds that specifically modulate the expression of endogenous target genes.

Striptease on glass: validation of an improved stripping procedure for in situ microarrays.

Microarrays have rapidly become an indispensable tool for gene analysis. Microarray experiments can be cost prohibitive, however, largely due to the price of the arrays themselves. Whilst different methods for stripping filter arrays on membranes have been established, only very few protocols are published for thermal and chemical stripping of microarrays on glass. Most of these protocols for stripping microarrays on glass were developed in combination with specific surface chemistry and different coatings for covalently immobilizing presynthesized DNA in a deposition process. We have developed a method for stripping commercial in situ microarrays using a multi-step procedure. We present a method that uses mild chemical degradation complemented by enzymatic treatment. We took advantage of the differences in biochemical properties of covalently linked DNA oligonucleotides on in situ synthesized microarrays and the antisense cRNA hybridization probes. The success of stripping protocols for microarrays on glass was critically dependent on the type of arrays, the nature of sample used for hybridization, as well as hybridization and washing conditions. The protocol employs alkali hydrolysis of the cRNA, several enzymatic degradation steps using RNAses and Proteinase K, combined with appropriate washing steps. Stripped arrays were rehybridized using the same protocols as for new microarrays. The stripping method was validated with microarrays from different suppliers and rehybridization of stripped in situ arrays yielded comparable results to hybridizations done on unused, new arrays with no significant loss in precision or accuracy. We show that stripping of commercial in situ arrays is feasible and that reuse of stripped arrays gave similar results compared to unused ones. This was true even for biological samples that show only slight differences in their expression profiles. Our analyses indicate that the stripping procedure does not significantly influence data quality derived from post-primary hybridizations. The method is robust, easy to perform, inexpensive, and results after reuse are of comparable accuracy to new arrays.

Evaluation of external RNA controls for the assessment of microarray performance.

External RNA controls (ERCs), although important for microarray assay performance assessment, have yet to be fully implemented in the research community. As part of the MicroArray Quality Control (MAQC) study, two types of ERCs were implemented and evaluated; one was added to the total RNA in the samples before amplification and labeling; the other was added to the copyRNAs (cRNAs) before hybridization. ERC concentration-response curves were used across multiple commercial microarray platforms to identify problematic assays and potential sources of variation in the analytical process. In addition, the behavior of different ERC types was investigated, resulting in several important observations, such as the sample-dependent attributes of performance and the potential of using these control RNAs in a combinatorial fashion. This multiplatform investigation of the behavior and utility of ERCs provides a basis for articulating specific recommendations for their future use in evaluating assay performance across multiple platforms.

Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data.

BACKGROUND: Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hybridised to chips are vague. We conducted an experiment hybridising RNA from human brain to 117 U133A Affymetrix GeneChips and used these data to explore the relationship between 4 pre-chip variables and 22 post-chip outcomes and quality control measures. RESULTS: We found that the pre-chip variables were significantly correlated with each other but that this correlation was strongest between measures of RNA quality and cRNA yield. Post-mortem interval was negatively correlated with these variables. Four principal components, reflecting array outliers, array adjustment, hybridisation noise and RNA integrity, explain about 75% of the total post-chip measure variability. Two significant canonical correlations existed between the pre-chip and post-chip variables, derived from MAS 5.0, dChip and the Bioconductor packages affy and affyPLM. The strongest (CANCOR 0.838, p < 0.0001) correlated RNA integrity and yield with post chip quality control (QC) measures indexing 3'/5' RNA ratios, bias or scaling of the chip and scaling of the variability of the signal across the chip. Post-mortem interval was relatively unimportant. We also found that the RNA integrity number (RIN) could be moderately well predicted by post-chip measures B_ACTIN35, GAPDH35 and SF. CONCLUSION: We have found that the post-chip variables having the strongest association with quantities measurable before hybridisation are those reflecting RNA integrity. Other aspects of quality, such as noise measures (reflecting the execution of the assay) or measures reflecting data quality (outlier status and array adjustment variables) are not well predicted by the variables we were able to determine ahead of time. There could be other variables measurable pre-hybridisation which may be better associated with expression data quality measures. Uncovering such connections could create savings on costly microarray experiments by eliminating poor samples before hybridisation.