Correlations between RNA and protein expression profiles in 23 human cell lines.

BACKGROUND: The Central Dogma of biology holds, in famously simplified terms, that DNA makes RNA makes proteins, but there is considerable uncertainty regarding the general, genome-wide correlation between levels of RNA and corresponding proteins. Therefore, to assess degrees of this correlation we compared the RNA profiles (determined using both cDNA- and oligo-based microarrays) and protein profiles (determined immunohistochemically in tissue microarrays) of 1066 gene products in 23 human cell lines. RESULTS: A high mean correlation coefficient (0.52) was obtained from the pairwise comparison of RNA levels determined by the two platforms. Significant correlations, with correlation coefficients exceeding 0.445, between protein and RNA levels were also obtained for a third of the specific gene products. However, the correlation coefficients between levels of RNA and protein products of specific genes varied widely, and the mean correlations between the protein and corresponding RNA levels determined using the cDNA- and oligo-based microarrays were 0.25 and 0.20, respectively. CONCLUSION: Significant correlations were found in one third of the examined RNA species and corresponding proteins. These results suggest that RNA profiling might provide indirect support to antibodies' specificity, since whenever a evident correlation between the RNA and protein profiles exists, this can sustain that the antibodies used in the immunoassay recognized their cognate antigens.

Empirical bayes microarray ANOVA and grouping cell lines by equal expression levels.

In the exploding field of gene expression techniques such as DNA microarrays, there are still few general probabilistic methods for analysis of variance. Linear models and ANOVA are heavily used tools in many other disciplines of scientific research. The usual F-statistic is unsatisfactory for microarray data, which explore many thousand genes in parallel, with few replicates. We present three potential one-way ANOVA statistics in a parametric statistical framework. The aim is to separate genes that are differently regulated across several treatment conditions from those with equal regulation. The statistics have different features and are evaluated using both real and simulated data. Our statistic B1 generally shows the best performance, and is extended for use in an algorithm that groups cell lines by equal expression levels for each gene. An extension is also outlined for more general ANOVA tests including several factors. The methods presented are implemented in the freely available statistical language R. They are available at http://www.math.uu.se/staff/pages/?uname=ingrid.

Pharmacological and molecular characterisation of SK3 channels in the TE671 human medulloblastoma cell line.

The expression of the small conductance calcium-activated potassium channels SK1, SK2 and SK3 was investigated in the TE671 human medulloblastoma cell line using RT-PCR and transcripts were detected only for SK3. Immunodetection experiments confirmed this result, demonstrating the presence of the SK3 protein. This potassium channel was characterised in TE671 cells using whole-cell patch-clamp recordings. Voltage steps to -100 mV from a holding potential of 0 mV in equimolar 140 mM intra- and extracellular K(+) (K(+)(in/out)) elicited an inward current. The reversal potential of this current shifted 56.6 mV per 10-fold increase in K(+)(out) thus suggesting K(+) selectivity. This current was dependent on the concentration of Ca(2+)(in) with an EC(50) of 104.2 nM. A pharmacological characterisation of this current revealed that it was not blocked by 1 microM charybdotoxin (ChTX), 0.3 microM iberiotoxin (IbTX) or 10 microM clotrimazole (CLT) and only modestly inhibited (<50%) by 30 nM scyllatoxin (ScTX), 200 microM dequalinium chloride (Deq) or 300 microM d-tubocurarine (d-TC). The non-selective SK blocker d-TC blocked the current with an IC(50) of 43.2 microM while apamin blocked the current to a much greater extent (87.8% at 1 microM) with an IC(50) of 4.3 nM. Furthermore, the current was significantly increased (132.6+/-5.2%, n=7) by 500 microM 1-ethyl-2-benzimidazolinone (EBIO). Collectively, these data demonstrate the presence of an endogenous SK3 channel in human TE671 cells.

Validation of serum protein profiles by a dual antibody array approach.

In recent years, affinity-based technologies have become important tools for serum profiling to uncover protein expression patterns linked to disease state or therapeutic effects. In this study, we describe a path towards the production of an antibody microarray to allow protein profiling of biotinylated human serum samples with reproducible sensitivity in the picomolar range. With the availability of growing numbers of affinity reagents, protein profiles are to be validated in efficient manners and we describe a cross-platform strategy based on data concordance with a suspension bead array to interrogate the identical set of antibodies with the same cohort of serum samples. Comparative analysis enabled to screen for high-performing antibodies, which were displaying consistent results across the two platforms and targeting known serum components. Moreover, data processing methods such as sample referencing and normalization were evaluated for their effects on inter-platform agreement. Our work suggests that mutual validation of protein expression profiles using alternative microarray platforms holds great potential in becoming an important and valuable component in affinity-based high-throughput proteomic screenings as it allows to narrow down the number of discovered targets prior to orthogonal, uniplexed validation approaches.

Antibody suspension bead arrays within serum proteomics.

Antibody microarrays offer a powerful tool to screen for target proteins in complex samples. Here, we describe an approach for systematic analysis of serum, based on antibodies and using color-coded beads for the creation of antibody arrays in suspension. This method, adapted from planar antibody arrays, offers a fast, flexible, and multiplexed procedure to screen larger numbers of serum samples, and no purification steps are required to remove excess labeling substance. The assay system detected proteins down to lower picomolar levels with dynamic ranges over 3 orders of magnitude. The feasibility of this workflow was shown in a study with more than 200 clinical serum samples tested for 20 serum proteins.

Transcriptional profiling of melanocytes from patients with vitiligo vulgaris.

Vitiligo is a complex, polygenic disorder characterized by patchy loss of skin pigmentation due to abnormal melanocyte function. Both genetic and environmental etiological factors have been proposed for vitiligo and lack of molecular markers renders difficulties to predict development and progression of the disease. Identification of dysregulated genes has the potential to unravel biological pathways involved in vitiligo pathogenesis, facilitating discovery of potential biomarkers and novel therapeutic approaches. In this study, we characterized the transcriptional profile of melanocytes from vitiligo patients. Oligonucleotide microarrays containing approximately 16,000 unique genes were used to analyse mRNA expression in melanocytes from vitiligo patients and age-matched healthy controls. In total, 859 genes were identified as differentially expressed. A substantial number of these genes were involved in (i) melanocyte development, (ii) intracellular processing and trafficking of tyrosinase gene family proteins, (iii) packing and transportation of melanosomes, (iv) cell adhesion and (v) antigen processing and presentation. In conclusion, our results show a significantly different transcription profile in melanocytes from vitiligo patients compared with controls. Several genes of potential importance for the pathogenesis and development of vitiligo were identified. Our data indicate that autoimmunity involving melanocytes may be a secondary event in vitiligo patients caused by abnormal melanocyte function.

A human protein atlas for normal and cancer tissues based on antibody proteomics.

Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. We used this strategy to construct a comprehensive, antibody-based protein atlas for expression and localization profiles in 48 normal human tissues and 20 different cancers. Here we report a new publicly available database containing, in the first version, approximately 400,000 high resolution images corresponding to more than 700 antibodies toward human proteins. Each image has been annotated by a certified pathologist to provide a knowledge base for functional studies and to allow queries about protein profiles in normal and disease tissues. Our results suggest it should be possible to extend this analysis to the majority of all human proteins thus providing a valuable tool for medical and biological research.