Auto-validation of fluorescent primer extension genotyping assay using signal clustering and neural networks

Background

SNP genotyping typically incorporates a review step to ensure that the genotype calls for a particular SNP are correct. For high-throughput genotyping, such as that provided by the GenomeLab SNPstream^® instrument from Beckman Coulter, Inc., the manual review used for low-volume genotyping becomes a major bottleneck. The work reported here describes the application of a neural network to automate the review of results.

Results

We describe an approach to reviewing the quality of primer extension 2-color fluorescent reactions by clustering optical signals obtained from multiple samples and a single reaction set-up. The method evaluates the quality of the signal clusters from the genotyping results. We developed 64 scores to measure the geometry and position of the signal clusters. The expected signal distribution was represented by a distribution of a 64-component parametric vector obtained by training the two-layer neural network onto a set of 10,968 manually reviewed 2D plots containing the signal clusters.

Conclusion

The neural network approach described in this paper may be used with results from the GenomeLab SNPstream instrument for high-throughput SNP genotyping. The overall correlation with manual revision was 0.844. The approach can be applied to a quality review of results from other high-throughput fluorescent-based biochemical assays in a high-throughput mode.     

All about DIGE: quantification technology for differential-display 2D-gel proteomics

2D polyacrylamide gel electrophoresis has been the traditional workhorse of proteomics, allowing for the resolution of several thousand proteins in a single gel. Difference gel electrophoresis is an emerging technology that allows for accurate quantification with statistical confidence while controlling for nonbiologic variation, and also increases the dynamic range and sensitivity of traditional 2D polyacrylamide gel electrophoresis. With inclusion of an internal standard formed from equal amounts of every sample in an experiment, difference gel electrophoresis technology also allows for repetitive measurements and multivariable analyses to be quantitatively analyzed in one co-ordinated experiment, yielding statistically-significant changes in protein expression related to many disease states. This technique promises to be an important tool in clinical proteomics and the study of the mechanism of disease, investigating diagnostic biomarkers and pinpointing novel therapeutic targets.     

RNAi-mediated depletion of the 15 KH domain protein, vigilin, induces death of dividing and non-dividing human cells but does not initially inhibit protein synthesis

Vigilin/Scp160p/DDP1 is a ubiquitous and highly conserved protein containing 15 related, but non-identical, K-homology (KH) nucleic acid binding domains. While its precise function remains unknown, proposed roles for vigilin include chromosome partitioning at mitosis, facilitating translation and tRNA transport, and control of mRNA metabolism, including estrogen-mediated stabilization of vitellogenin mRNA. To probe sites of vigilin action in vertebrate cells, we performed nucleic acid binding and RNA interference studies. Consistent with a potential role in chromosome partitioning, human vigilin exhibits a higher affinity for Drosophila dodecasatellite single-stranded DNA than for vitellogenin mRNA 3′-UTR. Direct observation and flow cytometry in non-mitotic, serum-starved, HeLa cells showed that RNAi-mediated vigilin knockdown is rapidly lethal, indicating an essential function for vigilin distinct from its proposed role in chromosome partitioning. Pulse labeling experiments revealed that rates of protein synthesis and degradation are unaffected by the several fold reduction in vigilin levels early in siRNA knockdown indicating that vigilin is not a global regulator of translation. These data show that vigilin is an essential protein in human cells, support the view that vigilin’s most essential functions are neither chromosome partitioning nor control of translation, and are consistent with vigilin playing a critical role in cytoplasmic mRNA metabolism.     

A role for moesin in polarity

Three groups have recently characterized defects arising in development owing to mutations in the gene encoding Dmoesin, which is the sole ezrin-radixin-moesin (ERM) protein in Drosophila. Previously, studies in cultured mammalian cells suggested that ERM proteins are important for actin-membrane associations. However, mutations in moesin and radixin in mice do not cause severe defects, indicating functional overlap among vertebrate ERM paralogs. In Drosophila, however, mutations in Dmoesin result in lethality. Actin organization in imaginal disc epithelia is abnormal and apical-basal polarity is lost. When moesin function is reduced in the female germ-line, defects in cortical actin organization are also observed. Localization of informational molecules at the oocyte posterior is strongly affected, thus indicating a role for moesin in anchoring these determinants.     

Cutting edge: CD40-induced expression of recombination activating gene (RAG) 1 and RAG2: a mechanism for the generation of autoaggressive T cells in the periphery

It has been speculated that autoimmune diseases are caused by failure of central tolerance. However, this remains controversial. We have suggested that CD40 expression identifies autoaggressive T cells in the periphery of autoimmune prone mice. In this study, we report that CD40 was cloned from autoaggressive T cells and that engagement induces expression and nuclear translocation of the recombinases, recombination activating gene (RAG) 1 and RAG2 in the autoaggressive, but not in the nonautoaggressive, peripheral T cell population. Furthermore, we demonstrate that CD40 engagement induces altered TCR Valpha, but not Vbeta, expression in these cells. Therefore, CD40-regulated expression of RAG1 and RAG2 in peripheral T cells may constitute a novel pathway for the generation of autoaggressive T cells.