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Proteomic analysis as related to transcriptome data in the lung of chromium(VI)-treated rats.

Assessing the parallelism between transcriptome data and proteome data represents one of the major challenges of post-genomic research. We evaluated the levels of 380 proteins in lung S12 fractions from Sprague-Dawley rats by antibody microarrays. Approximately half of these proteins were detectable under physiological conditions. There was a poor parallelism between mRNA and protein levels for a subset of 84 coinciding or related activities, whose gene expression had previously been investigated by cDNA array. The proportion of detectable proteins was almost twice as high as the proportion of transcriptionally active genes, which reflects the longer half-life of proteins compared to mRNA. Following the local stimulus provided by a short-term and high-dose exposure to sodium dichromate by the intra-tracheal route, 64 additional proteins were detectable in lung S12 fractions, and the correlation between gene expression and protein levels became significant. Sixteen proteins were increased more than twice following chromium(VI) administration. They included ten activities involved in the positive regulation of the cell cycle, three proteins involved in stress response and protein repair, two pro-apoptotic activities, and one protein involved in lipoprotein catabolism. An increase of P53 protein was detected by Western blot in lung nuclear fractions. Post-genomic analyses, highlighting the stimulation of defence mechanisms triggered by DNA damage, contribute to explain the previously reported discrepancy between the ability of chromium(VI) to induce oxidative stress and genotoxic damage in the lung and its failure to induce lung tumors under comparable experimental conditions. The proteome analysis showed a prominent role of apoptosis, counter-balanced by a positive regulation of the cell cycle aimed at replacing lost cells. In conclusion, our results suggest that, under basal conditions, mRNA undergoes a selective inactivation and post-transcriptional regulation resulting in de-coupling of transcriptome data and proteome data. However, this parallelism is re-established when the cell undergoes genotoxic damage.

Animals↗

Identification of distinct molecular phenotypes in acute megakaryoblastic leukemia by gene expression profiling.

Individuals with Down syndrome (DS) are predisposed to develop acute megakaryoblastic leukemia (AMKL), characterized by expression of truncated GATA1 transcription factor protein (GATA1s) due to somatic mutation. The treatment outcome for DS-AMKL is more favorable than for AMKL in non-DS patients. To gain insight into gene expression differences in AMKL, we compared 24 DS and 39 non-DS AMKL samples. We found that non-DS-AMKL samples cluster in two groups, characterized by differences in expression of HOX/TALE family members. Both of these groups are distinct from DS-AMKL, independent of chromosome 21 gene expression. To explore alterations of the GATA1 transcriptome, we used cross-species comparison with genes regulated by GATA1 expression in murine erythroid precursors. Genes repressed after GATA1 induction in the murine system, most notably GATA-2, MYC, and KIT, show increased expression in DS-AMKL, suggesting that GATA1s fail to repress this class of genes. Only a subset of genes that are up-regulated upon GATA1 induction in the murine system show increased expression in DS-AMKL, including GATA1 and BACH1, a probable negative regulator of megakaryocytic differentiation located on chromosome 21. Surprisingly, expression of the chromosome 21 gene RUNX1, a known regulator of megakaryopoiesis, was not elevated in DS-AMKL. Our results identify relevant signatures for distinct AMKL entities and provide insight into gene expression changes associated with these related leukemias.

Chromosomes, Human, Pair 21↗

Adaptation of Bacillus subtilis to growth at low temperature: a combined transcriptomic and proteomic appraisal.

The soil bacterium Bacillus subtilis frequently encounters a reduction in temperature in its natural habitats. Here, a combined transcriptomic and proteomic approach has been used to analyse the adaptational responses of B. subtilis to low temperature. Propagation of B. subtilis in minimal medium at 15 degrees C triggered the induction of 279 genes and the repression of 301 genes in comparison to cells grown at 37 degrees C. The analysis thus revealed profound adjustments in the overall gene expression profile in chill-adapted cells. Important transcriptional changes in low-temperature-grown cells comprise the induction of the SigB-controlled general stress regulon, the induction of parts of the early sporulation regulons (SigF, SigE and SigG) and the induction of a regulatory circuit (RapA/PhrA and Opp) that is involved in the fine-tuning of the phosphorylation status of the Spo0A response regulator. The analysis of chill-stress-repressed genes revealed reductions in major catabolic (glycolysis, oxidative phosphorylation, ATP synthesis) and anabolic routes (biosynthesis of purines, pyrimidines, haem and fatty acids) that likely reflect the slower growth rates at low temperature. Low-temperature repression of part of the SigW regulon and of many genes with predicted functions in chemotaxis and motility was also noted. The proteome analysis of chill-adapted cells indicates a major contribution of post-transcriptional regulation phenomena in adaptation to low temperature. Comparative analysis of the previously reported transcriptional responses of cold-shocked B. subtilis cells with this data revealed that cold shock and growth in the cold constitute physiologically distinct phases of the adaptation of B. subtilis to low temperature.

Adaptation, Physiological↗

Ashbya Genome Database 3.0: a cross-species genome and transcriptome browser for yeast biologists.

BACKGROUND: The Ashbya Genome Database (AGD) 3.0 is an innovative cross-species genome and transcriptome browser based on release 40 of the Ensembl developer environment. DESCRIPTION: AGD 3.0 provides information on 4726 protein-encoding loci and 293 non-coding RNA genes present in the genome of the filamentous fungus Ashbya gossypii. A synteny viewer depicts the chromosomal location and orientation of orthologous genes in the budding yeast Saccharomyces cerevisiae. Genome-wide expression profiling data obtained with high-density oligonucleotide microarrays (GeneChips) are available for nearly all currently annotated protein-coding loci in A. gossypii and S. cerevisiae. CONCLUSION: AGD 3.0 hence provides yeast- and genome biologists with comprehensive report pages including reliable DNA annotation, Gene Ontology terms associated with S. cerevisiae orthologues and RNA expression data as well as numerous links to external sources of information. The database is accessible at http://agd.vital-it.ch/.

Databases, Genetic↗

Production and characterization of amplified tumor-derived cRNA libraries to be used as vaccines against metastatic melanomas.

BACKGROUND: Anti-tumor vaccines targeting the entire tumor antigen repertoire represent an attractive immunotherapeutic approach. In the context of a phase I/II clinical trial, we vaccinated metastatic melanoma patients with autologous amplified tumor mRNA. In order to provide the large quantities of mRNA needed for each patient, the Stratagene Creator SMART cDNA library construction method was modified and applied to produce libraries derived from the tumors of 15 patients. The quality of those mRNA library vaccines was evaluated through sequencing and microarray analysis. RESULTS: Random analysis of bacterial clones of the library showed a rate of 95% of recombinant plasmids among which a minimum of 51% of the clones contained a full-Open Reading Frame. In addition, despite a biased amplification toward small abundant transcripts compared to large rare fragments, we could document a relatively conserved gene expression profile between the total RNA of the tumor of origin and the corresponding in vitro transcribed complementary RNA (cRNA). Finally, listing the 30 most abundant transcripts of patient MEL02's library, a large number of tumor associated antigens (TAAs) either patient specific or shared by several melanomas were found. CONCLUSION: Our results show that unlimited amounts of cRNA representing tumor's transcriptome could be obtained and that this cRNA was a reliable source of a large variety of tumor antigens.

Journal Article↗

Exploring (novel) gene expression during retinoid-induced maturation and cell death of acute promyelocytic leukemia.

During recent years, reports have shown that biological responses of acute promyelocytic leukemia (APL) cells to retinoids are more complex than initially envisioned. PML-RARalpha chimeric protein disturbs various biological processes such as cell proliferation, differentiation, and apoptosis. The distinct biological programs that regulate these processes stem from specific transcriptional activation of distinct (but overlapping) sets of genes. These programs are sometimes mutually exclusive and depend on whether the signals are delivered by RAR or RXR agonists. Furthermore, evidence that retinoid nuclear signaling by retinoid, on its own, is not enough to trigger these cellular responses is rapidly accumulating. Indeed, work with NB4 cells show that the fate of APL cells treated by retinoid depends on complex signaling cross-talk. Elucidation of the sequence of events and cascades of transcriptional regulation necessary for APL cell maturation will be an additional tool with which to further improve therapy by retinoids. In this task, the classical techniques used to analyze gene expression have proved time consuming, and their yield has been limited. Global analyses of the APL cell transcriptome are needed. We review the technical approaches currently available (differential display, complementary DNA microarrays), to identify novel genes involved in the determination of cell fate.

Apoptosis↗

Yeast Upf proteins required for RNA surveillance affect global expression of the yeast transcriptome.

mRNAs are monitored for errors in gene expression by RNA surveillance, in which mRNAs that cannot be fully translated are degraded by the nonsense-mediated mRNA decay pathway (NMD). RNA surveillance ensures that potentially deleterious truncated proteins are seldom made. NMD pathways that promote surveillance have been found in a wide range of eukaryotes. In Saccharomyces cerevisiae, the proteins encoded by the UPF1, UPF2, and UPF3 genes catalyze steps in NMD and are required for RNA surveillance. In this report, we show that the Upf proteins are also required to control the total accumulation of a large number of mRNAs in addition to their role in RNA surveillance. High-density oligonucleotide arrays were used to monitor global changes in the yeast transcriptome caused by loss of UPF gene function. Null mutations in the UPF genes caused altered accumulation of hundreds of mRNAs. The majority were increased in abundance, but some were decreased. The same mRNAs were affected regardless of which of the three UPF gene was inactivated. The proteins encoded by UPF-dependent mRNAs were broadly distributed by function but were underrepresented in two MIPS (Munich Information Center for Protein Sequences) categories: protein synthesis and protein destination. In a UPF(+) strain, the average level of expression of UPF-dependent mRNAs was threefold lower than the average level of expression of all mRNAs in the transcriptome, suggesting that highly abundant mRNAs were underrepresented. We suggest a model for how the abundance of hundreds of mRNAs might be controlled by the Upf proteins.

Adaptor Proteins, Signal Transducing↗

[Overview: application of DNA chips to clinical immunology].

DNA microarrays or DNA chips are rapidly evolved technologies. Hybridization of labeled cDNA or cRNA to DNA probes on the solid phases enables analyses of transcriptome of particular cells. Storage and analysis of microarray data are also important factors. Several studies have been published on the gene expression in the immune cells during immune responses and immune mediated diseases.

Cytokines↗

[Methods for transcriptome and proteome research: applications for studying the biology of reproduction in cattle].

Improvements of animal health, welfare and product quality are major goals of modern animal breeding. Thus, in addition to the classical production traits, functional traits such as disease resistance, fertility and longevity moved into the center of animal breeder's interests. Due to their low heritability, the improvement of functional traits using conventional approaches of phenotypic testing and quantitative genetics is difficult. A number of studies have been conducted worldwide in various species to map quantitative trait loci (QTLs) and to identify genetic markers for health traits. This has revealed a plethora of chromosome regions which may harbor genes with relevance for animal health. Functional genome research integrates holistic investigations at the level of the genome, at the level of gene activity (transcriptome, proteome) and at various levels of phenotypic expression. The integration of all these levels of information provides the basis for the functional dissection of complex traits. This review provides an overview of the most important strategies for holistic transcriptome and proteome analyses. The successful application of these techniques is exemplified by our studies of bovine reproductive biology.

Animals↗

The study of metabolic pathways in tumors based on the transcriptome.

DNA microarray technology revolutionized gene-expression analysis in molecular biology to observe patterns of gene expression in genomic scale. We review the biological aspects of genome-wide gene-expression activity in tumors specially focusing on the analysis of enzyme coding genes. First, the methods for analyzing gene-expression data for the study of metabolome in silico are discussed showing SV40T antigen expressing liver tumor data as an example. Next, an application for tumor metabolome analysis utilizing a reference set of gene-expression profiles is shown.

Animals↗

Th1 response and cytotoxicity genes are down-regulated in cutaneous T-cell lymphoma.

PURPOSE: Increased production of Th2 cytokines characterizes Sezary syndrome, the leukemic form of cutaneous T-cell lymphomas (CTCL). To identify the molecular background and to study whether shared by the most common CTCL subtype, mycosis fungoides, we analyzed the gene expression profiles in both subtypes. EXPERIMENTAL DESIGN: Freshly isolated cells from 30 samples, representing skin, blood, and enriched CD4(+) cell populations of mycosis fungoides and Sezary syndrome, were analyzed with Affymetrix (Santa Clara, CA) oligonucleotide microarrays, quantitative PCR, or immunohistochemistry. The gene expression profiles were combined with findings of comparative genomic hybridization of the same samples to identify chromosomal changes affecting the aberrant gene expression. RESULTS: We identified a set of Th1-specific genes [e.g., TBX21 (T-bet), NKG7, and SCYA5 (RANTES)] to be down-regulated in Sezary syndrome as well as in a proportion of mycosis fungoides samples. In both Sezary syndrome and mycosis fungoides blood samples, the S100P and LIR9 gene expression was up-regulated. In lesional skin, IL7R and CD52 were up-regulated. Integration of comparative genomic hybridization and transcriptomic data identified chromosome arms 1q, 3p, 3q, 4q, 12q, 16p, and 16q as likely targets for new CTCL-associated gene aberrations. CONCLUSIONS: Our findings revealed several new genes involved in CTCL pathogenesis and potential therapeutic targets. Down-regulation of a set of genes involved in Th1 polarization, including the major Th1-polarizing factor, TBX21, was for the first time associated with CTCL. In addition, a plausible explanation for the proliferative response of CTCL cells to locally produced interleukin-7 was revealed.

Cytotoxicity, Immunologic↗

A cDNA macroarray resource for gene expression profiling in ruminant tissues involved in reproduction and production (milk and beef) traits.

cDNA arrays have proven to be useful tools to screen gene expression in many animal species including livestock species. A collaborative program was launched to construct a ruminant cDNA collection, representative of three tissues: Muscle, Embryo and Mammary gland, named MEM. This collection gathers clones mainly arising from 3 non-normalised cDNA libraries: a directed bovine muscle library, a 14-day-old bovine embryo library and a goat lactating mammary library. It is made up of 1896 clones (637 muscle, 882 embryo and 377 mammary cDNAs), selected after sequencing and bioinformatic analyses. Amplification products yielded from these clones as well as controls were printed onto Nylon membranes to generate macroarrays. Hybridisation with relevant cDNA targets allowed checking the location of about 50 cDNAs and the specificity of each sub-set of the repertoire. Macroarrays were hybridised with radiolabelled cDNA complex targets from five different tissues (muscle, embryo, mammary gland, adipose tissue and oocyte). Both somatic and germinal complex targets gave valid hybridisation signals with 45 to 80% of the printed probes. This specific cDNA collection now provides a powerful tool for transcriptomic studies with the ultimate objective to better understand physiological and metabolic functions in ruminants. It will be subsequently included into a forthcoming larger collection.

Animals↗

A database of mRNA expression patterns for the sea urchin embryo.

We present an initial characterization of a database that contains temporal expression profiles of sequences found in 35,282 gene predictions within the sea urchin genome. The relative RNA abundance for each sequence was determined at 5 key stages of development using high-density oligonucleotide microarrays that were hybridized with populations of polyA+ RNA sequence. These stages were two-cell, which represents maternal RNA, early blastula, the time at which major tissue territories are specified, early and late gastrula, during which important morphogenetic events occur, and the pluteus larva, which marks the culmination of pre-feeding embryogenesis. We provide evidence that the microarray reliably reports the temporal profiles for the large majority of predicted genes, as shown by comparison to data for many genes with known expression patterns. The sensitivity of this assay allows detection of mRNAs whose concentration is only several hundred copies/embryo. The temporal expression profiles indicate that 5% of the gene predictions encode mRNAs that are found only in the maternal population while 24% are embryo-specific. Further, we find that the concentration of >80% of different mRNAs is modulated by more than a factor of 3 during development. Along with the annotated sea urchin genome sequence and the whole-genome tiling array (the transcriptome, Samanta, M., Tongprasit, W., Istrrail, S., Cameron, R., Tu, Q., Davidson, E., Stolc, V., in press. A high-resolution transcriptome map of the sea urchin embryo. Science), this database proves a valuable resource for designing experiments to test the function of specific genes during development.

Animals↗

Genome-wide analysis suggests a differential microRNA signature associated with normal and diabetic human corneal limbus.

Small non-coding RNAs, in particular microRNAs (miRNAs), regulate fine-tuning of gene expression and can impact a wide range of biological processes. However, their roles in normal and diseased limbal epithelial stem cells (LESC) remain unknown. Using deep sequencing analysis, we investigated miRNA expression profiles in central and limbal regions of normal and diabetic human corneas. We identified differentially expressed miRNAs in limbus vs. central cornea in normal and diabetic (DM) corneas including both type 1 (T1DM/IDDM) and type 2 (T2DM/NIDDM) diabetes. Some miRNAs such as miR-10b that was upregulated in limbus vs. central cornea and in diabetic vs. normal limbus also showed significant increase in T1DM vs. T2DM limbus. Overexpression of miR-10b increased Ki-67 staining in human organ-cultured corneas and proliferation rate in cultured corneal epithelial cells. MiR-10b transfected human organ-cultured corneas showed downregulation of PAX6 and DKK1 and upregulation of keratin 17 protein expression levels. In summary, we report for the first time differential miRNA signatures of T1DM and T2DM corneal limbus harboring LESC and show that miR-10b could be involved in the LESC maintenance and/or their early differentiation. Furthermore, miR-10b upregulation may be an important mechanism of corneal diabetic alterations especially in the T1DM patients.

Adult↗

Cold-adapted RNA polymerase from Pseudomonas phage Njord improves synthesis of therapeutic mRNA.

An RNA polymerase identified in the genome of Pseudomonas phage Njord offers a promising tool for the synthesis of mRNA and other therapeutic nucleic acids. Originating from a marine microbial ecosystem, Njord RNAP transcribes RNA at high yield even under low temperature conditions. Key properties of the enzyme relevant to mRNA synthesis are presented including transcriptional fidelity, promoter specificity, incorporation of modified nucleotides, and the impurity profile of the RNA. Specific attention is given to the formation of contaminating double-stranded RNA (dsRNA) species. Analysis of transcription reactions shows that DNA-templated promoter-independent transcription is a major source of detectable dsRNA impurities and that Njord RNAP displays a minimal level of this activity. Consistent with the known inflammatory role of dsRNA in synthetic mRNA, transcriptomic analysis of cell culture and a live animal study demonstrates that mRNA synthesized with Njord RNAP elicits only a minimal immune response. This natural enzyme enables efficient mRNA synthesis at ambient temperature and produces transcripts essentially free of dsRNA, offering significant potential to streamline mRNA manufacturing processes.

DNA-Directed RNA Polymerases↗

Molecular dynamics of the Shewanella oneidensis response to chromate stress.

Temporal genomic profiling and whole-cell proteomic analyses were performed to characterize the dynamic molecular response of the metal-reducing bacterium Shewanella oneidensis MR-1 to an acute chromate shock. The complex dynamics of cellular processes demand the integration of methodologies that describe biological systems at the levels of regulation, gene and protein expression, and metabolite production. Genomic microarray analysis of the transcriptome dynamics of midexponential phase cells subjected to 1 mm potassium chromate (K(2)CrO(4)) at exposure time intervals of 5, 30, 60, and 90 min revealed 910 genes that were differentially expressed at one or more time points. Strongly induced genes included those encoding components of a TonB1 iron transport system (tonB1-exbB1-exbD1), hemin ATP-binding cassette transporters (hmuTUV), TonB-dependent receptors as well as sulfate transporters (cysP, cysW-2, and cysA-2), and enzymes involved in assimilative sulfur metabolism (cysC, cysN, cysD, cysH, cysI, and cysJ). Transcript levels for genes with annotated functions in DNA repair (lexA, recX, recA, recN, dinP, and umuD), cellular detoxification (so1756, so3585, and so3586), and two-component signal transduction systems (so2426) were also significantly up-regulated (p < 0.05) in Cr(VI)-exposed cells relative to untreated cells. By contrast, genes with functions linked to energy metabolism, particularly electron transport (e.g. so0902-03-04, mtrA, omcA, and omcB), showed dramatic temporal alterations in expression with the majority exhibiting repression. Differential proteomics based on multidimensional HPLC-MS/MS was used to complement the transcriptome data, resulting in comparable induction and repression patterns for a subset of corresponding proteins. In total, expression of 2,370 proteins were confidently verified with 624 (26%) of these annotated as hypothetical or conserved hypothetical proteins. The initial response of S. oneidensis to chromate shock appears to require a combination of different regulatory networks that involve genes with annotated functions in oxidative stress protection, detoxification, protein stress protection, iron and sulfur acquisition, and SOS-controlled DNA repair mechanisms.

Anion Transport Proteins↗

Transcript mapping with high-density oligonucleotide tiling arrays.

MOTIVATION: High-density DNA tiling microarrays are a powerful tool for the characterization of complete transcriptomes. The two major analytical challenges are the segmentation of the hybridization signal along genomic coordinates to accurately determine transcript boundaries and the adjustment of the sequence-dependent response of the oligonucleotide probes to achieve quantitative comparability of the signal between different probes. RESULTS: We describe a dynamic programming algorithm for finding a globally optimal fit of a piecewise constant expression profile along genomic coordinates. We developed a probe-specific background correction and scaling method that employs empirical probe response parameters determined from reference hybridizations with no need for paired mismatch probes. This combined analysis approach allows the accurate determination of dynamical changes in transcription architectures from hybridization data and will help to study the biological significance of complex transcriptional phenomena in eukaryotic genomes. AVAILABILITY: R package tilingArray at http://www.bioconductor.org.

Algorithms↗

ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis.

Transcriptome microarrays have become one of the tools of choice for investigating the genes involved in tumorigenesis and tumor progression, as well as finding new biomarkers and gene expression signatures for the diagnosis and prognosis of cancer. Here, we describe a new database for Integrated Tumor Transcriptome Array and Clinical data Analysis (ITTACA). ITTACA centralizes public datasets containing both gene expression and clinical data. ITTACA currently focuses on the types of cancer that are of particular interest to research teams at Institut Curie: breast carcinoma, bladder carcinoma and uveal melanoma. A web interface allows users to carry out different class comparison analyses, including the comparison of expression distribution profiles, tests for differential expression and patient survival analyses. ITTACA is complementary to other databases, such as GEO and SMD, because it offers a better integration of clinical data and different functionalities. It also offers more options for class comparison analyses when compared with similar projects such as Oncomine. For example, users can define their own patient groups according to clinical data or gene expression levels. This added flexibility and the user-friendly web interface makes ITTACA especially useful for comparing personal results with the results in the existing literature. ITTACA is accessible online at http://bioinfo.curie.fr/ittaca.

Breast Neoplasms↗