Olfactory Marker Protein Expression Is an Indicator of Olfactory Receptor-Associated Events in Non-Olfactory Tissues

Olfactory receptor (OR)-associated events are mediated by well-conserved components in the olfactory epithelium, including olfactory G-protein (G_olf), adenylate cyclase III (ACIII), and olfactory marker protein (OMP). The expression of ORs has recently been observed in non-olfactory tissues where they are involved in monitoring extracellular chemical cues. The large number of OR genes and their sequence similarities illustrate the need to find an effective and simple way to detect non-olfactory OR-associated events. In addition, expression profiles and physiological functions of ORs in non-olfactory tissues are largely unknown. To overcome limitations associated with using OR as a target protein, this study used OMP with G_olf and ACIII as targets to screen for potential OR-mediated sensing systems in non-olfactory tissues. Here, we show using western blotting, real-time PCR, and single as well as double immunoassays that ORs and OR-associated proteins are co-expressed in diverse tissues. The results of immunohistochemical analyses showed OMP (+) cells in mouse heart and in the following cells using the corresponding marker proteins c-kit, keratin 14, calcitonin, and GFAP in mouse tissues: interstitial cells of Cajal of the bladder, medullary thymic epithelial cells of the thymus, parafollicular cells of the thyroid, and Leydig cells of the testis. The expression of ORs in OMP (+) tissues was analyzed using a refined microarray analysis and validated with RT-PCR and real-time PCR. Three ORs (olfr544, olfr558, and olfr1386) were expressed in the OMP (+) cells of the bladder and thyroid as shown using a co-immunostaining method. Together, these results suggest that OMP is involved in the OR-mediated signal transduction cascade with olfactory canonical signaling components between the nervous and endocrine systems. The results further demonstrate that OMP immunohistochemical analysis is a useful tool for identifying expression of ORs, suggesting OMP expression is an indicator of potential OR-mediated chemoreception in non-olfactory systems.     

Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data

MOTIVATION: Discriminant analysis is an effective tool for the classification of experimental units into groups. Here, we consider the typical problem of classifying subjects according to phenotypes via gene expression data and propose a method that incorporates variable selection into the inferential procedure, for the identification of the important biomarkers. To achieve this goal, we build upon a conjugate normal discriminant model, both linear and quadratic, and include a stochastic search variable selection procedure via an MCMC algorithm. Furthermore, we incorporate into the model prior information on the relationships among the genes as described by a gene-gene network. We use a Markov random field (MRF) prior to map the network connections among genes. Our prior model assumes that neighboring genes in the network are more likely to have a joint effect on the relevant biological processes. RESULTS: We use simulated data to assess performances of our method. In particular, we compare the MRF prior to a situation where independent Bernoulli priors are chosen for the individual predictors. We also illustrate the method on benchmark datasets for gene expression. Our simulation studies show that employing the MRF prior improves on selection accuracy. In real data applications, in addition to identifying markers and improving prediction accuracy, we show how the integration of existing biological knowledge into the prior model results in an increased ability to identify genes with strong discriminatory power and also aids the interpretation of the results.     

RT-PCR检测HUTP14A mRNA时排除假基因HUTP14C干扰的方法

人类U3蛋白14C基因(HUTP14C)是人类U3蛋白14A基因(HUTP14A)的假基因。两者转录本序列同源性高达95%。常规RT-qPCR技术在检测HUTP14A mRNA丰度时,HUTP14C的存在会影响检测结果。本研究旨在建立检测HUTP14A mRNA时排除HUTP14C干扰的RT PCR方法。本研究设计出能分别从多种肿瘤细胞DNA和RNA中特异性扩增HUTP14A和HUTP14C的引物,避免假基因HUTP14C对其同源基因HUTP14A检测的干扰。在检测细胞系HUTP14A mRNA时,通过DNaseⅠ消除RNA中污染的HUTP14C DNA,用靶向HUTP14C 3′-UTR的siRNA沉默HUTP14C mRNA后,再用RT PCR检测HUTP14A mRNA丰度,使结果更加准确。在18对肝癌及癌旁组织中,利用特异性引物进行RT PCR检测,HUTP14A和HUTP14C mRNA的表达略高于癌旁组织。本研究提示,针对有假基因存在的功能基因,对其mRNA丰度进行检测时,在提取细胞或组织总RNA后,用DNaseⅠ处理,再用RNA直接进行PCR扩增,排除DNA污染后,再进行RT-PCR或RT-qPCR扩增。大多假基因具有较长的3′-UTR区,在该区域设计siRNA特异性沉默假基因的mRNA后,用RT-qPCR检测功能基因的mRNA丰度,可以排除假基因mRNA的影响。在病理组织中检测功能基因的mRNA丰度时,可以根据假基因和其功能基因的序列差异设计出特异扩增功能基因的引物,从假基因的3′-UTR区设计特异扩增假基因的引物,通过RT-qPCR技术分别检测二者的mRNA。