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Expressed Genes (express + gene)
Selected AbstractsDevelopment of a Low-cost Polymerase Chain Reaction-based Method for Studying Differentially Expressed Genes in Developing Rice LeavesJOURNAL OF INTEGRATIVE PLANT BIOLOGY, Issue 6 2009Yin-Wan Wendy Fung Abstract Gene expression studies are important for revealing gene functions putatively involved in biological processes. We were interested in identifying differentially expressed genes during leaf development in rice. We combined the RNA arbitrarily primed-polymerase chain reaction (RAP-PCR) and dot blot hybridization methods to screen a rice leaf primordium cDNA library. Three developmental stages during vegetative growth were examined. The cDNA clones showing different hybridization patterns were further analyzed and verified. Here we demonstrate that the combination of RAP-PCR and dot blot hybridization could provide an efficient and relatively low-cost cDNA library screening approach to discover genes not previously known to be associated with leaf development in rice. We believe that the findings described here will help to elucidate the molecular mechanism(s) underlying the developmental processes of rice leaf. [source] Identification of Differentially Expressed Genes During Anther Abortion of Taigu Genic Male Sterile Wheat by Combining Suppression Subtractive Hybridization and cDNA ArrayJOURNAL OF INTEGRATIVE PLANT BIOLOGY, Issue 11 2006Qing-Shan Chang Abstract Taigu Genic Male Sterile Wheat (TGMSW; Triticum aestivum L.), a dominant genic male sterile germplasm, is of considerable value in the genetic improvement of wheat because of its stable inherence, complete male abortion, and high cross-fertilization rate. To identify specially transcribed genes in sterile anther, a suppression subtractive hybridization (SSH) library was constructed with sterile anther as the tester and fertile anther as the driver. A total of 2 304 SSH inserts amplified by polymerase chain reaction were arrayed using robotic printing. The cDNA arrays were hybridized with 32P-labeled probes prepared from the RNA of forward- and reverse-subtracted anthers. Ninety-six clones were scored as upregulated in sterile anthers compared with the corresponding fertile anthers and some clones were selected for sequencing and analysis in GenBank. Based on their putative functions, 87 non-redundant clones were classified into the following groups: (i) eight genes involved in metabolic processes; (ii) four material transportation genes; (iii) three signal transduction-associated genes; (iv) four stress response and senescence-associated protein genes; (v) seven other functional protein genes; (vi) five genes with no known function; and (vii) another 56 genes with no match to the databases. To test the hybridization efficiency, eight genes were selected and analyzed by Northern blot. The results of the present study provide a comprehensive overview of the genes and gene products involved in anther abortion in TGMSW. (Managing editor: Li-Hui Zhao) [source] Improved Detection of Differentially Expressed Genes Through Incorporation of Gene LocationsBIOMETRICS, Issue 3 2009Guanghua Xiao Summary In determining differential expression in cDNA microarray experiments, the expression level of an individual gene is usually assumed to be independent of the expression levels of other genes, but many recent studies have shown that a gene's expression level tends to be similar to that of its neighbors on a chromosome, and differentially expressed (DE) genes are likely to form clusters of similar transcriptional activity along the chromosome. When modeled as a one-dimensional spatial series, the expression level of genes on the same chromosome frequently exhibit significant spatial correlation, reflecting spatial patterns in transcription. By modeling these spatial correlations, we can obtain improved estimates of transcript levels. Here, we demonstrate the existence of spatial correlations in transcriptional activity in the,Escherichia coli,(E. coli) chromosome across more than 50 experimental conditions. Based on this finding, we propose a hierarchical Bayesian model that borrows information from neighboring genes to improve the estimation of the expression level of a given gene and hence the detection of DE genes. Furthermore, we extend the model to account for the circular structure of,E. coli,chromosome and the intergenetic distance between gene neighbors. The simulation studies and analysis of real data examples in,E. coli,and yeast,Saccharomyces cerevisiae,show that the proposed method outperforms the commonly used significant analysis of microarray (SAM),t -statistic in detecting DE genes. [source] Presumptive pre-sertoli cells express genes involved in cell proliferation and cell signalling during a critical window in early testis differentiationMOLECULAR REPRODUCTION & DEVELOPMENT, Issue 12 2007Aron T. Cory In mammals, the pre-Sertoli cell of the male genital ridge is the first cell type to display sex specific differentiation and differential gene expression. The genetic cascade driving the differentiationof pre-Sertoli cells and ultimately testis formationis beginning to be unravelled, but many questions remain. A better understanding of the transcriptome of pre-Sertoli cells immediately after sex determination is essential in order to further understand this differentiationprocess. A mouse model expressing Red Fluorescent Protein (RFP) under the control of a hybrid mouse/pig SRY promoter (HybSRYp-RFP) was used to purify cells from embryonic day 12.0 (e12.0) male genital ridges. To compare the transcriptomes of HybSRYp-RFP cell populations versus age matched whole female genital ridges, RNA was extracted and used to generate molecular probes that were hybridized onto Affymetrix Mouse Genome 430 2.0 micro-arrays. The expression of genes considered markers for pre-Sertoli cells, including Sox9, Mis, Dhh and Fgf9 were identified within the HybSRYp-RFP expressing cell population, while markers for germ cells (Oct4, SSEA-1) and endothelial cells (Ntrk3) were not identified. In contrast, markers for ovarian somatic cell expression, including Fst and Bmp2, were identified as overexpressed within the ovarian cell population. In a general fashion, genes identified as 2.5-fold over expressed in HybSRYp-RFP expressing cells coded notably for cell signalling and extra cellular proteins. The expression of Sox10, Stc2, Fgf18, Fgf13 and Wnt6 were further characterized via whole mount in situ hybridization (WISH) on male and female genital ridges between e11.5 and e14.5. Sox10, Fgf18, Fgf13 and Stc2 gene expression was detected within the male genital ridges while Wnt6 was found diffusely within both the male and female genital ridges. These data represent the earliest comprehensive microarray expression analysis of purified presumptive pre-Sertoli cells available to date. Mol. Reprod. Dev. 74: 1491,1504, 2007. © 2007 Wiley-Liss, Inc. [source] Human embryonic stem cell genes OCT4, NANOG, STELLAR, and GDF3 are expressed in both seminoma and breast carcinomaCANCER, Issue 10 2005Uche I. Ezeh M.D. Abstract BACKGROUND The seminoma class of testicular germ cell tumor (TGCT) are characterized by a morphological resemblance to primordial germ cells (PGCs) or gonocytes, and chromosome duplications at 12p. Recently, it was determined that human embryonic stem cells (hESCs) express genes in common with PGCs, and that three of these genes, GDF3, STELLAR, and NANOG, are located on 12p. The current study was designed to identify whether expression of these 12p genes were elevated in seminoma relative to normal testis, and to determine whether elevated expression was unique to seminoma. METHODS Real-time polymerase chain reaction (PCR) and immunohistochemistry were used to assess gene expression in seminoma samples relative to normal testis and endpoint PCR was used to identify the presence or absence of these genes in breast carcinoma. RESULTS GDF3 expression was increased in eight of nine seminomas compared with normal testis, whereas NANOG, OCT4, or both were expressed at the highest levels in seminoma compared with all other markers analyzed. In addition, the NANOG protein was expressed in the majority of seminoma cells. The adult meiotic germ cell markers BOULE and TEKT1 were undetectable in seminoma, whereas the embryonic and adult germ cell markers DAZL and VASA were significantly reduced. Analysis of these markers in breast carcinoma and the MCF7 breast carcinoma cell line revealed that a core hESC-transcriptional profile could be identified consisting of OCT4, NANOG, STELLAR, and GDF3 and that NANOG protein could be detected in breast carcinoma. CONCLUSIONS These observations suggest that seminoma and breast carcinoma express a common stem cell profile and that the expression of DAZL and VASA in seminoma mark the germ cell origin of seminoma that is absent in breast carcinoma. Our findings suggest that stem cell genes may either play a direct role in different types of carcinoma progression or serve as valuable markers of tumorigenesis. Cancer 2005. © 2005 American Cancer Society. [source] | ||||||||||