Evaluation of techniques using amplified nucleic acid probes for gene expression profiling

RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts

Background

The quantitative polymerase chain reaction (qPCR) is a widely utilized method for gene-expression analysis. However, insufficient material often compromises large-scale gene-expression studies. The aim of this study is to evaluate an RNA pre-amplification method to produce micrograms of cDNA as input for qPCR.

Findings

The linear isothermal Ribo-SPIA pre-amplification method (WT-Ovation; NuGEN) was first evaluated by measuring the expression of 20 genes in RNA samples from six neuroblastoma cell lines and of 194 genes in two commercially available reference RNA samples before and after pre-amplification, and subsequently applied on a large panel of 738 RNA samples extracted from neuroblastoma tumours. All RNA samples were evaluated for RNA integrity and purity. Starting from 5 to 50 nanograms of total RNA the sample pre-amplification method was applied, generating approximately 5 microgams of cDNA, sufficient to measure more than 1000 target genes. The results obtained from this study show a constant yield of pre-amplified cDNA independent of the amount of input RNA; preservation of differential gene-expression after pre-amplification without introduction of substantial bias; no co-amplification of contaminating genomic DNA; no necessity to purify the pre-amplified material; and finally the importance of good RNA quality to enable pre-amplification.

Conclusion

Application of this unbiased and easy to use sample pre-amplification technology offers great advantage to generate sufficient material for diagnostic and prognostic work-up and enables large-scale qPCR gene-expression studies using limited amounts of sample material.

ZBED4, a BED-type zinc-finger protein in the cones of the human retina

PURPOSE

To characterize the ZBED4 cDNA identified by subtractive hybridization and microarray of retinal cone degeneration (cd) adult dog mRNA from mRNA of normal dog retina.

METHODS

The cDNA library obtained from subtractive hybridization was arrayed and screened with labeled amplicons from normal and cd dog retinas. Northern blot analysis was used to verify ZBED4 mRNA expression in human retina. Flow cytometry sorted peanut agglutinin (PNA)-labeled cones from dissociated mouse retinas, and quantitative RT-PCR (QPCR) was used to measure ZBED4 mRNA levels in these cone cells. Immunohistochemistry localized ZBED4 in human retinas. Expression of ZBED4 mRNA transiently transfected into HEK293 cells was analyzed by immunofluorescence. ZBED4 subcellular localization was determined with Western blot analysis.

RESULTS

One of 80 cDNAs differentially expressed in normal and cd dog retinas corresponded to a novel gene, ZBED4, which is also expressed in human and mouse retinas. ZBED4 mRNA was found to be present in cone photoreceptors. When ZBED4 cDNA was transfected into HEK293 cells, the expressed protein showed nuclear localization. However, in human retinas, ZBED4 was localized to cone nuclei, inner segments, and pedicles, as well as to Müller cell endfeet. Confirming these immunohistochemical results, the 135-kDa ZBED4 was found in both the nuclear and cytosolic extracts of human retinas. ZBED4 has four predicted DNA-binding domains, a dimerization domain, and two LXXLL motifs characteristic of coactivators/corepressors of nuclear hormone receptors.

CONCLUSIONS

ZBED4 cellular/subcellular localization and domains suggest a regulatory role for this protein, which may exert its effects in cones and Müller cells through multiple ways of action.

Comparison of dorsal root ganglion gene expression in rat models of traumatic and HIV-associated neuropathic pain

To elucidate the mechanisms underlying peripheral neuropathic pain in the context of HIV infection and antiretroviral therapy, we measured gene expression in dorsal root ganglia (DRG) of rats subjected to systemic treatment with the anti-retroviral agent, ddC (Zalcitabine) and concomitant delivery of HIV-gp120 to the rat sciatic nerve. L4 and L5 DRGs were collected at day 14 (time of peak behavioural change) and changes in gene expression were measured using Affymetrix whole genome rat arrays. Conventional analysis of this data set and Gene Set Enrichment Analysis (GSEA) was performed to discover biological processes altered in this model. Transcripts associated with G protein coupled receptor signalling and cell adhesion were enriched in the treated animals, while ribosomal proteins and proteasome pathways were associated with gene down-regulation. To identify genes that are directly relevant to neuropathic mechanical hypersensitivity, as opposed to epiphenomena associated with other aspects of the response to a sciatic nerve lesion, we compared the gp120 + ddC-evoked gene expression with that observed in a model of traumatic neuropathic pain (L5 spinal nerve transection), where hypersensitivity to a static mechanical stimulus is also observed. We identified 39 genes/expressed sequence tags that are differentially expressed in the same direction in both models. Most of these have not previously been implicated in mechanical hypersensitivity and may represent novel targets for therapeutic intervention. As an external control, the RNA expression of three genes was examined by RT-PCR, while the protein levels of two were studied using western blot analysis.

A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis

Background

Several high-throughput technologies can measure in parallel the abundance of many mRNA transcripts within a sample. These include the widely-used microarray as well as the more recently developed methods based on sequence tag abundances such as the Massively Parallel Signature Sequencing (MPSS) technology. A comparison of microarray and MPSS technologies can help to establish the metrics for data comparisons across these technology platforms and determine some of the factors affecting the measurement of mRNA abundances using different platforms.

Results

We compared transcript abundance (gene expression) measurement data obtained using Affymetrix and Agilent microarrays with MPSS data. All three technologies were used to analyze the same set of mRNA samples; these samples were extracted from various wild type Arabidopsis thaliana tissues and floral mutants. We calculated correlations and used clustering methodology to compare the normalized expression data and expression ratios across samples and technologies. Abundance expression measurements were more similar between different samples measured by the same technology than between the same sample measured by different technologies. However, when expression ratios were employed, samples measured by different technologies were found to cluster together more frequently than with abundance expression levels.

Furthermore, the two microarray technologies were more consistent with each other than with MPSS. We also investigated probe-position effects on Affymetrix data and tag-position effects in MPSS. We found a similar impact on Affymetrix and MPSS measurements, which suggests that these effects were more likely a characteristic of the RNA sample rather than technology-specific biases.

Conclusion

Comparisons of transcript expression ratios showed greater consistency across platforms than measurements of transcript abundance. In addition, for measurements based on abundances, technology differences can mask the impact of biological differences between samples and tissues.

Method validation ofin vitro RNA transcript analysis on the Agilent 2100 Bioanalyzer

The Agilent 2100 Bioanalyzer can characterize in vitro RNA transcripts for their integrity, purity, concentration, and size. The results are comparable to denatured agarose electrophoresis with ethidium bromide staining and UV spectrophotometry combined. In this report, we describe our strategy for validating this method following the International Conference on Harmonization guidelines. The assay has a linear range of quantitation between 500 and 25 ng/microL. Quantitation accuracy is within +/-20% of measurements produced from spectrophotometry and sizing accuracy is within +/-7% based on theoretical sizes. Concentration and sizing measurements within a single assay produce RSDs that are <10 and <2%, respectively, indicating good precision. The method also maintains a tolerable precision when altering operator, day, and reagent kit lot. The RSD for quantitation is <or=25 and <2% for sizing. The LOQ and LOD are 15.4 and 5.4 ng/microL based on experimentation, producing values similar to those specified by the manufacturer. The Bioanalyzer can differentiate between the RNA transcript and DNA contamination, and protein contamination quenches the RNA transcript signal. The effect of the ionic strength of the buffer on RNA analysis is also examined. Limitations of this method and future applications are discussed.

Gene expression profiling of single cells on large-scale oligonucleotide arrays

Over the last decade, important insights into the regulation of cellular responses to various stimuli were gained by global gene expression analyses of cell populations. More recently, specific cell functions and underlying regulatory networks of rare cells isolated from their natural environment moved to the center of attention. However, low cell numbers still hinder gene expression profiling of rare ex vivo material in biomedical research. Therefore, we developed a robust method for gene expression profiling of single cells on high-density oligonucleotide arrays with excellent coverage of low abundance transcripts. The protocol was extensively tested with freshly isolated single cells of very low mRNA content including single epithelial, mature and immature dendritic cells and hematopoietic stem cells. Quantitative PCR confirmed that the PCR-based global amplification method did not change the relative ratios of transcript abundance and unsupervised hierarchical cluster analysis revealed that the histogenetic origin of an individual cell is correctly reflected by the gene expression profile. Moreover, the gene expression data from dendritic cells demonstrate that cellular differentiation and pathway activation can be monitored in individual cells.

Comparative analysis of a 3' end tag PCR and a linear RNA amplification approach for microarray analysis

BACKGROUND

Various types of amplification techniques have been developed in order to enable microarray gene expression analysis when the amount of starting material is limited. The two main strategies are linear amplification, using in vitro transcription, and exponential amplification, based on PCR. We have evaluated the performance of a linear and an in-house developed exponential amplification protocol that relies on 3' end tag sequences. We used 100 ng total RNA as starting material for amplification and compared the results with data from hybridizations with unamplified mRNA and total RNA.

RESULTS

Preservation of expression ratios after amplification was examined comparing log(2) ratios obtained with amplification protocols to those obtained with standard labelling of mRNA. The Pearson correlations were 0.61 and 0.84, respectively, for the two linear amplification replicates and 0.76 and 0.80 for the two exponential amplification replicates. The correlations between repeated amplifications was 0.82 with the exponential method and 0.63 with the linear, indicating a better reproducibility with the PCR-based approach.

CONCLUSION

Both amplification methods generated results in agreement with unamplified material. In this study, the PCR-based method was more reproducible than in vitro transcription amplification. Advantages with the in-house developed method are the lower cost since it is non-commercial and that the PCR generated product offers compatibility with both sense and antisense arrays.

DNA chip replication for a personalized DNA chip

We report the replication technology of DNA chip using by sequence specific localization of nucleic acids via hybridization and electric transfer of the nucleic acids onto a new substrate without losing their array information. The denatured DNA fragments are first spotted and UV-cross-linked on a nylon membrane. The membrane is then immersed and hybridized in a DNA mixture solution that contains all complementary sequences of the nucleic acids to be hybridized with the DNA fragments on the membrane. The hybridized DNA fragments are transferred to another membrane at the denatured condition. After separating two membranes, the transferred membrane contains a complementary array of DNA fragments. This method can be used for the replication of the same copy of DNA chip repeatedly and moreover could be applied for a personalized DNA chip fabrication, where specific information of each spot of DNA chip is originated from the genetic information of a personal sample.

Laser microdissection of plant tissue: what you see is what you get

Laser microdissection (LM) utilizes a cutting or harvesting laser to isolate specific cells from histological sections; the process is guided by microscopy. This provides a means of removing selected cells from complex tissues, based only on their identification by microscopic appearance, location, or staining properties (e.g., immunohistochemistry, reporter gene expression, etc.). Cells isolated by LM can be a source of cell-specific DNA, RNA, protein or metabolites for subsequent evaluation of DNA modifications, transcript/protein/metabolite profiling, or other cell-specific properties that would be averaged with those of neighboring cell types during analysis of undissected complex tissues. Plants are particularly amenable to the application of LM; the highly regular tissue organization and stable cell walls of plants facilitate the visual identification of most cell types even in unstained tissue sections. Plant cells isolated by LM have been the starting point for a variety of genomic and metabolite studies of specific cell types.

[11] Sample Labeling: An Overview

It is not easy to write a critical review of the methods available for labeling RNA and DNA "extracts" for microarray studies. There are a number of reasons for this: Suppliers of the reagents and kits used for this purpose do research and development, quality control, and validation and then they provide a hard-wired, "optimized" product. They often give few details about the compositions of these products, are inclined to put the best face they can on what they sell and gloss over any deficiencies, and have no interest in paying for direct comparisons of their product to those of other companies. These comparisons can be expensive to perform, and there are few good examples in the literature. When comparative experiments have been done, it is not clear that each of the individual methods tested was executed with equal proficiency. Many experiments can be required to determine how best to hybridize any given labeled extract to a particular array and how to block, wash, and postprocess (e.g., stain) the array so that the signal-to-noise ratio is maximized. In addition, authors of comparative studies used different arrays, technical protocols (some of which are out of date), experimental designs, and analyses. Finally, some new techniques, which seem quite promising, have been employed so little that their strengths and shortcomings are difficult to assess.

Analysis of differential gene expression in human melanocytic tumour lesions by custom made oligonucleotide arrays

Melanoma is one of the most aggressive types of cancer and resection of the tumour prior to dissemination of tumour cells is still the most effective treatment. Therefore, early diagnosis of melanocytic lesions is important and identification of novel (molecular) markers would be helpful to improve diagnosis. Moreover, better understanding of molecular targets involved in melanocytic tumorigenesis could possibly lead to development of novel interventions. In this study, we used a custom made oligonucleotide array containing 298 genes that were previously found to be differentially expressed in human melanoma cell lines 1F6 (rarely metastasising) and Mel57 (frequently metastasising). We determined differential gene expression in human common nevocellular nevus and melanoma metastasis lesions. By performing nine dye-swap array experiments, using individual as well as pooled melanocytic lesions, a constant differential expression could be detected for 25 genes in eight out of nine or nine out of nine array analyses. For at least nine of these genes, namely THBD, FABP7, H2AFJ, RRAGD, MYADM, HR, CKS2, NCK2 and GDF15, the differential expression found by array analyses could be verified by semiquantitative and/or real-time quantitative RT–PCR. The genes that we identified to be differentially expressed during melanoma progression could be potent targets for diagnostic, prognostic and/or therapeutic interventions.

Be more specific! Laser-assisted microdissection of plant cells

Laser-assisted microdissection (LAM) is a powerful tool for isolating specific tissues, cell types and even organelles from sectioned biological specimen in a manner conducive to the extraction of RNA, DNA or protein. LAM, which is an established technique in many areas of biology, has now been successfully adapted for use with plant tissues. Here, we provide an overview of the processes involved in conducting a successful LAM study in plants and review recent developments that have made this technique even more desirable. We also discuss how the technology might be exploited to answer some pertinent questions in plant biology.

Increased DNA microarray hybridization specificity using sscDNA targets

Background

The most widely used amplification method for microarray analysis of gene expression uses T7 RNA polymerase-driven in vitro transcription (IVT) to produce complementary RNA (cRNA) that can be hybridized to arrays. However, multiple rounds of amplification are required when assaying very small amounts of starting RNA. Moreover, certain cRNA-DNA mismatches are more stable than the analogous cDNA-DNA mismatches and this might increase non-specific hybridization. We sought to determine whether a recently developed linear isothermal amplification method (ribo-SPIA) that produces single stranded cDNA would offer advantages over traditional IVT-based methods for microarray-based analyses of transcript expression.

Results

A single round of ribo-SPIA amplification produced sufficient sscDNA for hybridizations when as little as 5 ng of starting total RNA was used. Comparisons of probe set signal intensities obtained from replicate amplifications showed consistently high correlations (r = 0.99). We compared gene expression in two different human RNA samples using ribo-SPIA. Compared with one round IVT, ribo-SPIA had a larger dynamic range and correlated better with quantitative PCR results even though we used 1000-fold less starting RNA. The improved dynamic range was associated with decreases in hybridization to mismatch control probes.

Conclusion

The use of amplified sscDNA may offer substantial advantages over IVT-based amplification methods, especially when very limited amounts of starting RNA are available. The use of sscDNA targets instead of cRNA targets appears to improve hybridization specificity.

Evaluation of sense-strand mRNA amplification by comparative quantitative PCR

Background

RNA amplification is required for incorporating laser-capture microdissection techniques into microarray assays. However, standard oligonucleotide microarrays contain sense-strand probes, so traditional T7 amplification schemes producing anti-sense RNA are not appropriate for hybridization when combined with conventional reverse transcription labeling methods. We wished to assess the accuracy of a new sense-strand RNA amplification method by comparing ratios between two samples using quantitative real-time PCR (qPCR), mimicking a two-color microarray assay.

Results

We performed our validation using qPCR. Three samples of rat brain RNA and three samples of rat liver RNA were amplified using several kits (Ambion messageAmp, NuGen Ovation, and several versions of Genisphere SenseAmp). Results were assessed by comparing the liver/brain ratio for 192 mRNAs before and after amplification. In general, all kits produced strong correlations with unamplified RNAs. The SenseAmp kit produced the highest correlation, and was also able to amplify a partially degraded sample accurately.

Conclusion

We have validated an optimized sense-strand RNA amplification method for use in comparative studies such as two-color microarrays.

Microarrays and the gene expression profile of a single cell

With completion of the human genome sequence, it is now possible to study the expression of the entire human gene complement of approximately 30,000-35,000 genes. To accomplish this goal, microarrays have become the leading methodology for the analysis of global gene expression. Improvements in technology have increased the sensitivity of microarrays to the point where it is feasible to study gene expression in a small number of cells and even at the single cell level. A summary of developments in the area of expression profiling in single cells will be described, and the rationale for these types of studies will be presented. In addition, from a biologist's point of view, some bioinformatic challenges of expression analysis of single cells will be discussed.