Expressed Transcripts (expressed + transcript)

Distribution by Scientific Domains


Selected Abstracts


Genomic repertoire of human mesangial cells: comprehensive analysis of gene expression by cDNA array hybridization

NEPHROLOGY, Issue 4 2000
Naohiro Yano
SUMMARY: Knowing when and where a gene is expressed in a cell often provides a strong clue as to its physiological role. It is estimated the human genome contains 80 000,100 000 genes. Assessment of gene activity on a global genome-wide scale is a fundamental and newly developed experimental strategy to expand the scope of biological investigation from a single gene to studying all genes at once in a systematic way. Capitalizing on the recently developed methodology of cDNA array hybridization, we monitored the simultaneous expression of thousands of genes in primary human mesangial cells. Complex ,- 33P-labelled cDNA probes were prepared from cultured mesangial cells. The probe was hybridized to a high-density array of 18 326 paired target genes. The radioactive hybridization signals were analysed by phosphorimager. Bioinformatics from public genomic databases was utilized to assign a chromosomal location of each expressed transcript. Approximately 7460 different gene transcripts were detected in mesangial cells. Close to 13% (957 genes) were full-length mRNA human transcripts (HTs), the remainder 6503 being expressed sequence tags (ESTs). Using special imaging computer software, the transcriptional level of the 957 HTs was compared with the expression of the ribosomal protein S28 (housekeeping gene). The HTs were also classified by function of the gene product and listed with information on their chromosomal loci. To allow comparison between clinical and experimental studies of gene expression, the detected human gene transcripts were cross-referenced to orthologous mouse genes. Thus, the presented data constitute a quantitative preliminary blueprint of the transcriptional map of the human mesangial cell. The information may serve as a resource for speeding up the discovery of genes underlying human glomerular diseases. The complete listing of the full-length expressed genes is available upon request via E-mail: (Abdalla_Rifai@Brown.edu). [source]


sgk1, a member of an RNA cluster associated with cell death in a model of Parkinson's disease

EUROPEAN JOURNAL OF NEUROSCIENCE, Issue 2 2005
Christine C. Stichel
Abstract In an effort to gain deeper insight into the molecular processes underlying neurodegeneration in Parkinson's disease, we performed gene expression profiling at several early time points after MPTP-injection into old (1-year) mice. We used a PCR-based gene expression profiling method, digital expression pattern display (DEPD), a method of very high sensitivity and reproducibility, which displays almost all transcripts of a tissue. To identify cell death-associated genes, we defined clusters of differentially expressed transcripts with expression behaviour that correlated with the temporal profile of cell death progression and characterized one of these cell death clusters further. We selected one of the strongest regulated genes, the serum and glucocorticoid-regulated kinase 1 (sgk1), and validated its differential expression by Northern blot analysis, semiquantitative PCR and in situ hybridization. Up-regulation of sgk1 (i) coincides with the onset of dopaminergic cell death in both the 8-week acute and 1-year subacute MPTP models, (ii) spans the entire brain, (iii) is attenuated by the l -deprenyl-mediated inhibition of the MPTP conversion to its active metabolite MPP+ and (iv) is not induced by dehydration. This study demonstrated that the combination of the DEPD technology, clustering analysis and a detailed histopathology is a useful tool for elucidating molecular pathways in neurodegenerative diseases. [source]


Relevance of Ras gene mutations in the context of the molecular heterogeneity of multiple myeloma

HEMATOLOGICAL ONCOLOGY, Issue 1 2007
Daniela Intini
Abstract Ras gene mutations are a recurrent genetic lesion in multiple myeloma (MM). Here, we report a mutation analysis of N- and K- Ras genes in purified plasma cell populations from a panel of 81 newly diagnosed MM patients stratified according to the most frequent genetic and molecular features associated with the neoplasia. Ras gene mutations, mostly involving the N- Ras gene, were detected in 20% of the patients. Ras mutations did not correlate with the presence of chromosome 13q deletion, trisomy of chromosome 11, 1q amplification or hyperdiploidy. In addition, despite an appreciable association with tumours overexpressing Cyclin D1, Ras mutations did not correlate at significant levels with any of the proposed groups in the TC classification, based on the presence of the major IgH chromosomal translocations and expression of Cyclin D genes. Finally, transcription analyses revealed the presence of differentially expressed transcripts in human multiple myeloma cell lines carrying the Ras gene mutations but not in primary tumours. Overall, these data suggest that Ras gene mutations are not likely to represent a master lesion in MM but its relevance needs to be considered in the context of other genetic abnormalities. Copyright © 2006 John Wiley & Sons, Ltd. [source]


Mining an Ostrinia nubilalis midgut expressed sequence tag (EST) library for candidate genes and single nucleotide polymorphisms (SNPs)

INSECT MOLECULAR BIOLOGY, Issue 6 2008
B. S. Coates
Abstract Genes expressed in lepidopteran midgut tissues are involved in digestion and Bacillus thuringiensis (Bt) toxin resistance traits. Five hundred and thirty five unique transcripts were annotated from 1745 high quality O. nubilalis larval midgut expressed sequence tags (ESTs). Full-length cDNA sequence of 12 putative serine proteinase genes and 3 partial O. nubilalis aminopeptidase N protein genes, apn1, apn3, and apn4, were obtained, and genes may have roles in plant feeding and Bt toxin resistance traits of Ostrinia larvae. The EST library was not normalized and insert frequencies reflect transcript levels under the initial treatment conditions and redundancy of inserts from highly expressed transcripts allowed prediction of putative single nucleotide polymorphisms (SNPs). Ten di-, tri- or tetranucleotide repeat unit microsatellite loci were identified, and minisatellite repeats were observed within the C-termini of two encoded serine proteinases. Molecular markers showed polymorphism at 28 SNP loci and one microsatellite locus, and Mendelian inheritance indicated that markers were applicable to genome mapping applications. This O. nubilalis larval midgut EST collection is a resource for gene discovery, expression information, and allelic variation for use in genetic marker development. [source]


Identification and quantification of differentially expressed transcripts in in vitro-produced bovine preimplantation stage embryos

MOLECULAR REPRODUCTION & DEVELOPMENT, Issue 2 2003
Dawit Tesfaye
Abstract In this study, we used mRNA differential display reverse transcription polymerase chain reaction (DDRT-PCR) to analyze the mRNA expression patterns in in vitro-produced bovine 8-cell, 16-cell, morula, and blastocyst stage embryos and isolate differentially expressed amplicons. Moreover, we have used a fluorescence monitored real time quantitative PCR to quantify and analyze the expression patterns of the target differentially expressed transcripts through out the preimplantation stages from oocytes to blastocyst. For this, total RNA isolated from bovine 8-cell (n,=,188), 16-cell (n,=,94), morula (n,=,35), and blastocyst (n,=,15) were reverse transcribed and subjected to DDRT-PCR. Target differentially expressed transcripts were quantified by real time quantitative PCR. The cDNA banding pattern analysis revealed that large number of cDNA bands were conserved at 8-cell and blastocyst stage with a slight decrease at the morula stage. A total of 16 amplicons were cloned and sequenced. All expressed sequence tags (ESTs), except 1C19, showed sequence similarity with known genes or ESTs in GenBank. Sixty-two percent (10/16) of cDNA bands representing differentially expressed genes originated from 8-cell stage and the rest derived from the 16-cell, morula, or blastocyst stage. The quantitative PCR analysis has validated the expression patterns of 75% (12/16) of our transcripts to be in agreement with the results of DDRT-PCR. However, the quantitative PCR results of four transcripts showed a deviation from the pattern seen in DDRT-PCR. In conclusion, we have successfully applied mRNA DDRT-PCR to identify and isolate stage-specific expressed genes in bovine preimplantation embryos. In addition to validating the results of DDRT-PCR, quantitative real time PCR provides quantitative data on the expression of target genes. Mol. Reprod. Dev. 66: 105,114, 2003. © 2003 Wiley-Liss, Inc. [source]


Transcriptome dissection of gastric cancer: Identification of novel diagnostic and therapeutic targets from pathology specimens

PATHOLOGY INTERNATIONAL, Issue 3 2009
Wataru Yasui
Gastric cancer is the fourth most common malignancy in the world, and mortality due to gastric cancer is second only to that from lung cancer. ,Transcriptome dissection' is a detailed analysis of the entire expressed transcripts from a cancer, for the purpose of understanding the precise molecular mechanism of pathogenesis. Serial analysis of gene expression (SAGE) is a suitable technique for performing transcriptome dissection. Gastric cancers of different stages and histology were analyzed on SAGE, and one of the largest gastric cancer SAGE libraries in the world was created (GEO accession number GSE 545). Through SAGE, many candidate genes have been identified as potential diagnostic and therapeutic targets for the treatment of gastric cancer. Regenerating islet-derived family, member 4 (Reg IV) participated in 5-fluorouracil (5-FU) resistance and peritoneal metastasis, and its expression was associated with an intestinal phenotype of gastric cancer and with endocrine differentiation. GW112 expression correlated with advanced tumor stage. Measurement of Reg IV and GW112 levels in sera indicated a sensitivity of 57% for detection of cancer. SPC18 participated in tumor growth and invasion through transforming tumor growth factor-, upregulation. Palate, lung, and nasal epithelium carcinoma-associated protein (PLUNC) was a useful marker for gastric hepatoid adenocarcinoma. Expression of SOX9, HOXA10, CDH17, and loss of claudin-18 expression were associated with an intestinal phenotype of gastric cancer. Information obtained from transcriptome dissection greatly contributes to diagnosis and treatment of gastric cancer. [source]


Comparative analysis of gene expression profiles between primary knee osteoarthritis and an osteoarthritis endemic to Northwestern China, Kashin-Beck disease

ARTHRITIS & RHEUMATISM, Issue 3 2010
Chen Duan
Objective To investigate the differences in gene expression profiles of adult articular cartilage from patients with Kashin-Beck disease (KBD) versus those with primary knee osteoarthritis (OA). Methods The messenger RNA expression profiles of articular cartilage from patients with KBD, diagnosed according to the clinical criteria for KBD in China, were compared with those of cartilage from patients with OA, diagnosed according to the Western Ontario and McMaster Universities OA Index. Total RNA was isolated separately from 4 pairs of the KBD and OA cartilage samples, and the expression profiles were evaluated by Agilent 4×44k Whole Human Genome density oligonucleotide microarray analysis. The microarray data for selected transcripts were confirmed by quantitative real-time reverse transcription,polymerase chain reaction (RT-PCR) amplification. Results For 1.2 × 104 transcripts, corresponding to 58.4% of the expressed transcripts, 2-fold changes in differential expression were revealed. Expression levels higher in KBD than in OA samples were observed in a mean ± SD 6,439 ± 1,041 (14.6 ± 2.4%) of the transcripts, and expression levels were lower in KBD than in OA samples in 6,147 ± 1,222 (14.2 ± 2.8%) of the transcripts. After application of the selection criteria, 1.85% of the differentially expressed genes (P < 0.001 between groups) were detected. These included 233 genes, of which 195 (0.4%) were expressed at higher levels and 38 (0.08%) were expressed at lower levels in KBD than in OA cartilage. Comparisons of the quantitative RT-PCR data supported the validity of our microarray data. Conclusion Differences between KBD and OA cartilage exhibited a similar pattern among all 4 of the pairs examined, indicating the presence of disease mechanisms, mainly chondrocyte matrix metabolism, cartilage degeneration, and apoptosis induction pathways, which contribute to cartilage destruction in KBD. [source]


Deciphering the physiological blueprint of a bacterial cell

BIOESSAYS, Issue 6 2010
Revelations of unanticipated complexity in transcriptome, proteome
Abstract During the last few months, several pioneer genome-wide transcriptomic, proteomic and metabolomic studies have revolutionised the understanding of bacterial biological processes, leading to a picture that resembles eukaryotic complexity. Technological advances such as next-generation high-throughput sequencing and high-density oligonucleotide microarrays have allowed the determination, in several bacteria, of the entire boundaries of all expressed transcripts. Consequently, novel RNA-mediated regulatory mechanisms have been discovered including multifunctional RNAs. Moreover, resolution of bacterial proteome organisation (interactome) and global protein localisation (localizome) have unveiled an unanticipated complexity that highlights the significance of protein multifunctionality and localisation in the cell. Also, analysis of a complete bacterial metabolic network has again revealed a high fraction of multifunctional enzymes and an unexpectedly high level of metabolic responses and adaptation. Altogether, these novel approaches have permitted the deciphering of the entire physiological landscape of one of the smallest bacteria, Mycoplasma pneumoniae. Here, we summarise and discuss recent findings aimed at defining the blueprint of any prokaryote. [source]