Resolving cell population heterogeneity: real-time PCR for simultaneous multiplexed gene detection in multiple single-cell samples.

Decoding the complexity of multicellular organisms requires analytical procedures to overcome the limitations of averaged measurements of cell populations, which obscure inherent cell-cell heterogeneity and restrict the ability to distinguish between the responses of individual cells within a sample. For example, defining the timing, magnitude and the coordination of cytokine responses in single cells is critical for understanding the development of effective immunity. While approaches to measure gene expression from single cells have been reported, the absolute performance of these techniques has been difficult to assess, which likely has limited their wider application. We describe a straightforward method for simultaneously measuring the expression of multiple genes in a multitude of single-cell samples using flow cytometry, parallel cDNA synthesis, and quantification by real-time PCR. We thoroughly assess the performance of the technique using mRNA and DNA standards and cell samples, and demonstrate a detection sensitivity of approximately 30 mRNA molecules per cell, and a fractional error of 15%. Using this method, we expose unexpected heterogeneity in the expression of 5 immune-related genes in sets of single macrophages activated by different microbial stimuli. Further, our analyses reveal that the expression of one 'pro-inflammatory' cytokine is not predictive of the expression of another 'pro-inflammatory' cytokine within the same cell. These findings demonstrate that single-cell approaches are essential for studying coordinated gene expression in cell populations, and this generic and easy-to-use quantitative method is applicable in other areas in biology aimed at understanding the regulation of cellular responses.

Housekeeping while brain's storming Validation of normalizing factors for gene expression studies in a murine model of traumatic brain injury.

BACKGROUND: Traumatic brain injury models are widely studied, especially through gene expression, either to further understand implied biological mechanisms or to assess the efficiency of potential therapies. A large number of biological pathways are affected in brain trauma models, whose elucidation might greatly benefit from transcriptomic studies. However the suitability of reference genes needed for quantitative RT-PCR experiments is missing for these models. RESULTS: We have compared five potential reference genes as well as total cDNA level monitored using Oligreen reagent in order to determine the best normalizing factors for quantitative RT-PCR expression studies in the early phase (0-48 h post-trauma (PT)) of a murine model of diffuse brain injury. The levels of 18S rRNA, and of transcripts of beta-actin, glyceraldehyde-3P-dehydrogenase (GAPDH), beta-microtubulin and S100beta were determined in the injured brain region of traumatized mice sacrificed at 30 min, 3 h, 6 h, 12 h, 24 h and 48 h post-trauma. The stability of the reference genes candidates and of total cDNA was evaluated by three different methods, leading to the following rankings as normalization factors, from the most suitable to the less: by using geNorm VBA applet, we obtained the following sequence: cDNA(Oligreen); GAPDH > 18S rRNA > S100beta > beta-microtubulin > beta-actin; by using NormFinder Excel Spreadsheet, we obtained the following sequence: GAPDH > cDNA(Oligreen) > S100beta > 18S rRNA > beta-actin > beta-microtubulin; by using a Confidence-Interval calculation, we obtained the following sequence: cDNA(Oligreen) > 18S rRNA; GAPDH > S100beta > beta-microtubulin > beta-actin. CONCLUSION: This work suggests that Oligreen cDNA measurements, 18S rRNA and GAPDH or a combination of them may be used to efficiently normalize qRT-PCR gene expression in mouse brain trauma injury, and that beta-actin and beta-microtubulin should be avoided. The potential of total cDNA as measured by Oligreen as a first-intention normalizing factor with a broad field of applications is highlighted. Pros and cons of the three methods of normalization factors selection are discussed. A generic time- and cost-effective procedure for normalization factor validation is proposed.

CAFTAN: a tool for fast mapping, and quality assessment of cDNAs.

BACKGROUND: The German cDNA Consortium has been cloning full length cDNAs and continued with their exploitation in protein localization experiments and cellular assays. However, the efficient use of large cDNA resources requires the development of strategies that are capable of a speedy selection of truly useful cDNAs from biological and experimental noise. To this end we have developed a new high-throughput analysis tool, CAFTAN, which simplifies these efforts and thus fills the gap between large-scale cDNA collections and their systematic annotation and application in functional genomics. RESULTS: CAFTAN is built around the mapping of cDNAs to the genome assembly, and the subsequent analysis of their genomic context. It uses sequence features like the presence and type of PolyA signals, inner and flanking repeats, the GC-content, splice site types, etc. All these features are evaluated in individual tests and classify cDNAs according to their sequence quality and likelihood to have been generated from fully processed mRNAs. Additionally, CAFTAN compares the coordinates of mapped cDNAs with the genomic coordinates of reference sets from public available resources (e.g., VEGA, ENSEMBL). This provides detailed information about overlapping exons and the structural classification of cDNAs with respect to the reference set of splice variants. The evaluation of CAFTAN showed that is able to correctly classify more than 85% of 5950 selected "known protein-coding" VEGA cDNAs as high quality multi- or single-exon. It identified as good 80.6 % of the single exon cDNAs and 85 % of the multiple exon cDNAs. The program is written in Perl and in a modular way, allowing the adoption of this strategy to other tasks like EST-annotation, or to extend it by adding new classification rules and new organism databases as they become available. We think that it is a very useful program for the annotation and research of unfinished genomes. CONCLUSION: CAFTAN is a high-throughput sequence analysis tool, which performs a fast and reliable quality prediction of cDNAs. Several thousands of cDNAs can be analyzed in a short time, giving the curator/scientist a first quick overview about the quality and the already existing annotation of a set of cDNAs. It supports the rejection of low quality cDNAs and helps in the selection of likely novel splice variants, and/or completely novel transcripts for new experiments.

Evaluating and improving cDNA sequence quality with cQC.

SUMMARY: Errors are prevalent in cDNA sequences but the extent to which sequence collections differ in frequencies and types of errors has not been investigated systematically. cDNA quality control, or cQC, was developed to evaluate the quality of cDNA sequence collections and to revise those sequences that differ from a higher quality genomic sequence. After removing rRNA, vector, bacterial insertion sequence and chimeric cDNA contaminants, small-scale nucleotide discrepancies were found in 51% of cDNA sequences from one Arabidopsis cDNA collection, 89% from a second Arabidopsis collection and 75% from a rice collection. These errors created premature termination codons in 4 and 42% of cDNA sequences in the respective Arabidopsis collections and in 7% of the rice cDNA sequences.

Precision profiling and components of variability analysis for Affymetrix microarray assays run in a clinical context.

Although gene expression profiling using microarray technology is widely used in research environments, adoption of microarray testing in clinical laboratories is currently limited. In an attempt to determine how such assays would perform in a clinical laboratory, we evaluated the analytical variability of Affymetrix microarray probesets using two generations of human Affymetrix chips (U95Av2 and U133A). The study was designed to mimic potential clinical applications by using multiple operators, machines, and reagent lots, and by performing analyses throughout a period of several months. A mixed model analysis was used to evaluate the relative contributions of multiple factors to overall variability, including operator, instrument, run, cRNA/cDNA synthesis, and changes in reagent lots. Under these conditions, the average probeset coefficient of variation (CV) was relatively low for present probesets on both generations of chips (mean coefficient of variation, 21.9% and 27.2% for U95Av2 and U133A chips, respectively). The largest contribution to overall variation was chip-to-chip (residual) variability, which was responsible for between 40 to 60% of the total variability observed. Changes in individual reagent lots and instrumentation contributed very little to the overall variability. We conclude that the approach demonstrated here could be applied to clinical validation of Affymetrix-based assays and that the analytical precision of this technique is sufficient to answer many biological questions.

Evaluation of quality-control criteria for microarray gene expression analysis.

BACKGROUND: Development of quality-control criteria to ensure reproducibility of microarray results for potential clinical application is still in its infancy. METHODS: In the present studies we developed quality-control criteria and evaluated their effect in microarray data analysis using total RNA from cell lines, frozen tumors, and a commercially available reference RNA. Quality-control criteria such as A(260)/A(280) ratios, percentage of rRNA, and median size of cDNA and cRNA synthesis products were evaluated for robustness in microarray analysis. Furthermore, precision studies using a reference material were performed on the Affymetrix HG-U133A high-density oligonucleotide microarrays. The same reference RNA sample was examined in 16 different chips run on 2 different days in the four different modules of the Affymetrix fluidics workstation. Fresh and frozen fragmented cRNAs were also compared. An ANOVA model was fit to identify the main sources of variation. RESULTS: Good-quality samples showed >30% rRNA in the electropherograms and cDNA and cRNA synthesis products with median sizes of 2.0 and 3.0 kb, respectively. Precision studies showed that the main source of variation was the day-to-day variability, minimally affecting hybridization exogenous control genes. Altogether, the results showed that the Affymetrix Genechip system is highly reproducible when RNA that meet the quality-control criteria are used (overall P >0.01). CONCLUSIONS: These results confirm the need to establish defined quality-control criteria for sample quality to distinguish between analytical and biological variability.

Capillary electrophoresis for the control of impurities of rDNA somatropin.

In the European Pharmacopoeia, the monographs on somatropin, somatropin bulk solution and somatropin for injection prescribe a number of tests including "related substances", "dimer and related substances of higher molecular weight" and "isoform distribution" which are intended to control the levels of impurities in the substance. The aim of this study was to verify the robustness of a new method by capillary electrophoresis and to compare its performance with that of the existing test for "isoform distribution" by isoelectric focusing. It was demonstrated that the capillary electrophoresis method was superior to the method of isoelectric focusing. The interest of the CZE method consists in the resolution of related impurities that might be process specific and/or generated by the expression system.

Quantification of murine cytokine mRNAs using real time quantitative reverse transcriptase PCR.

Recently, a novel technique for "real time" quantitative Reverse Transcriptase-PCR which measures PCR-product accumulation during the exponential phase of the PCR reaction using a dual-labelled fluorogenic probe, has been developed. This method allows direct detection of PCR-product formation by measuring the increase in fluorescent emission continuously during the PCR reaction. Here we present data validating this PCR-method for the quantification of murine cytokines and other factors playing a role in immune regulation (IL-1, IL-2, IL-4, IL-5, IL-6, IL-7, IL-10, IL-12p40, IL-13, IL-15, IFN-gammaTNF-alphaTGF-beta and iNOS). For each substance of interest, a set of primers and internal probe was designed, which specifically amplify the target cDNA, not co-amplifying contaminating genomic DNA. Furthermore, a corresponding reference plasmid cDNA clone was constructed, allowing direct quantification. Additionally, normalization to the housekeeping genes beta-actin or GAPDH was performed. The assay is very sensitive and accurate. It is a "closed-tube" PCR reaction, avoiding time-consuming and hazardous post-PCR manipulations and decreasing the potential risk of PCR contamination.

Quantification of IL-2 and IL-2 receptor mRNA in peripheral blood mononuclear cells by the RT-PCR based SHARP Signal system.

Nuclear transcription assays have shown that increases in interleukin 2 (IL-2) and its receptor (IL-2R) mRNA are reflected at the level of transcription. However, the quantification of transient and low-level expression of IL-2/IL-2R mRNAs in normal resting peripheral blood mononuclear cells (PBMC) requires a sensitive and reliable assay. We have established a quantitative reverse-transcriptase-polymerase chain reaction (RT-PCR) assay to measure IL-2/IL-2R transcripts by modifying the commercially-available SHARP Signal system to include IL-2/IL-2R RNA probes that were constructed by in vitro transcription of phagemid clones. To evaluate this modified SHARP Signal system and to demonstrate its clinical utility, the expression levels of IL-2 and IL-2R were assessed for 40 healthy normal donors. The mean +/- SEM levels of transcripts in normal PBMC expressed in zeptomol per micrograms total RNA for IL-2, IL-2R alpha and IL-2R beta were 2.6 +/- 0.5, 23.3 +/- 2.2 and 157.2 +/- 32.2 respectively. Compared with the conventional RT-PCR and gel-electrophoresis-based detection method, the SHARP Signal system is fast, not labor-intensive and inexpensive, and can be readily adapted for the measurement of other cytokines or cytokine receptor gene expressions in a clinical diagnostic laboratory environment without extensive experience in molecular techniques.

A polymerase chain reaction-based method for the semiquantitative study of interleukin-8 mRNA in human basophil leukocytes.

We examined a potential method for quantitative analysis of cytokine expression patterns in purified human basophil leukocyte preparations. Basophil mRNA was reverse transcribed and cytokine cDNA levels determined by competitive polymerase chain reaction (PCR) with internal standard cDNAs constructed by site-directed mutagenesis. Co-reverse transcribed glyceraldehyde-3-phosphate-dehydrogenase (GAPDH) cDNA levels were used as an internal control to correct for unequal efficiencies in RNA isolation and reverse transcription. The method was subjected to a statistical validation giving the within series precision of the analysis. This method was used to examine interleukin-8 expression patterns in basophils from different donors. The results from this study revealed increased interleukin-8 mRNA levels after in vitro challenge with a variety of stimuli.

Semi-quantitative analysis of cytokine gene expression in blood and cerebrospinal fluid cells by reverse transcriptase polymerase chain reaction.

An easy, reproducible and semi-quantitative, non-radioactive method for the analysis of mRNA expression for various cytokines, (i.e., Interleukin (IL)-1 beta, IL-4, IL-6, tumor necrosis factor (TNF)-alpha, lymphotoxin (LT), transforming growth factor (TGF)-beta, interferon (IFN)-gamma and endothelin-1 (ET-1)) in cells from cerebrospinal fluid (CSF) and peripheral blood mononuclear cells (PBMC) has been established. By means of polymerase chain reaction primers that cover a splice junction, amplification of contaminating DNA was omitted. Densitometric scanning of ethidium bromide-stained agarose gels proved to be very sensitive for semiquantitative analysis of PCR products. Serial tenfold dilutions of cDNA revealed a log-linear regression from 10(6) to 10(2) cells under optimal cycle conditions. The intra- and inter-assay variability of the method was below 10%. With this assay, the cytokine expression pattern of as few as 10(4) mononuclear cells from blood or CSF was determined. This method made it possible to detect differences in the cytokine gene expression pattern of mononuclear cells from patients with different neurological diseases. CSF cells from 43 patients with various neurological diseases were analyzed. TNF-alpha, LT, and IL-1 mRNA were prominent in the CSF cells of most patients with bacterial meningitis. TNF-alpha, LT, IFN-gamma and IL-6 mRNAs were detected in patients with active multiple sclerosis, whereas TNF-alpha, IL-6, and endothelin-1 mRNA expression was found frequently in patients with HIV encephalitis. Pro-inflammatory cytokines were rarely detected in CSF cells from patients with non-inflammatory diseases of the central nervous system. In blood mononuclear cells from patients with multiple sclerosis, TNF-alpha mRNA expression was associated with disease activity. The sensitivity, specificity, velocity and reliability of this assay considerably facilitates the analysis of cytokine production in mononuclear cells even in conditions where only a limited number of cells is available for analysis.