996 resultados para mRNA profiling


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Elucidation of the transcriptome and proteome of the normal retina will be difficult since it is comprised of at least 55 different cell types. However the characteristic layered cellular anatomy of the retina makes it amenable to planar sectioning, enabling the generation of enriched retinal cell populations. The aim of this study was to validate a reproducible method for preparing enriched retinal layers from porcine retina.

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Enterovirus 71 (EV71) is one of the main etiological agents for Hand, Foot and Mouth Disease (HFMD) and has been shown to be associated with severe clinical manifestation. Currently, there is no antiviral therapeutic for the treatment of HFMD patients owing to a lack of understanding of EV71 pathogenesis. This study seeks to elucidate the transcriptomic changes that result from EV71 infection. Human whole genome microarray was employed to monitor changes in genomic profiles between infected and uninfected cells. The results reveal altered expression of human genes involved in critical pathways including the immune response and the stress response. Together, data from this study provide valuable insights into the host–pathogen interaction between human colorectal cells and EV71.

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As proteínas existentes nas células são produzidas pelo mecanismo de tradução do mRNA, no qual a informação genética contida nos genes é descodificada em cadeias polipeptídicas. O código genético, que define as regras de descodificação do genoma, minimiza os erros de tradução do mRNA, garantindo a síntese de proteínas com elevada fidelidade. Esta é essencial para a estabilidade do proteoma e para a manutenção e funcionamento dos processos celulares. Em condições fisiológicas normais, os erros da tradução do mRNA ocorrem com frequências que variam de 10-3 a 10-5 erros por codão descodificado. Situações que aumentam este erro basal geralmente estão associadas ao envelhecimento, stresse e a doenças; no entanto, em certos organismos o código genético é traduzido naturalmente com elevado erro, indicando que a síntese de proteínas aberrantes pode de algum modo ser vantajosa. A fim de estudar a resposta celular aos erros de tradução do mRNA, construímos leveduras que incorporam serina no proteoma em resposta a um codão de leucina, usando a expressão constitutiva de um tRNASer mutante. Este fenómeno genético artificial provocou uma forte diminuição da esporulação, da viabilidade e da eficiência de mating, afectando imensamente a reprodução sexual da levedura. Observou-se também uma grande heterogeneidade no tamanho e na forma das células e elevada instabilidade genómica, com o aparecimento de populações poliplóides e aneuplóides. No sentido de clarificar as bases celulares e moleculares daqueles fenótipos e compreender melhor a biologia do erro de tradução do mRNA, construímos também células de levedura que inserem serina em resposta a um codão de leucina de modo indutível e controlado. Utilizaram-se perfis de mRNA total e de mRNA associado a polissomas para elucidar a resposta celular ao erro de tradução do mRNA. Observou-se a indução de genes envolvidos na resposta ao stresse geral, stresse oxidativo e na unfolded protein response (UPR). Um aumento significativo de espécies reactivas de oxigénio (ROS) e um forte impacto negativo na capacidade das células pós-mitóticas re-iniciarem o crescimento foram também observados. Este fenótipo de perda de viabilidade celular foi resgatado por scavangers de ROS, indicando que o stresse oxidativo é a principal causa de morte celular causada pelos erros de tradução. Este estudo levanta a hipótese de que o stresse oxidativo e a acumulação de ROS, ao invés do colapso súbito do proteoma, são as principais causas da degeneração celular e das doenças humanas associadas aos erros de tradução do genoma. ABSTRACT: Proteins are synthesized through the mechanism of translation, which uses the genetic code to transform the nucleic acids based information of the genome into the amino acids based information of the proteome. The genetic code evolved in such a manner that translational errors are kept to a minimum and even when they occur their impact is minimized by similar chemical properties of the amino acids. Protein synthesis fidelity is essential for proteome stability and for functional maintenance of cellular processes. Indeed, under normal physiological conditions, mistranslation occurs at frequencies that range from 10-3 to 10-5 errors per codon decoded. Situations where this basal error frequency increases are usually associated to aging and disease. However, there are some organisms where genetic code errors occur naturally at high level, suggesting that mRNA mistranslation can somehow be beneficial. In order to study the cellular response to mRNA mistranslation, we have engineered single codon mistranslation in yeast cells, using constitutive expression of mutant tRNASer genes. These mistranslating strains inserted serines at leucine-CUG sites on a proteome wide scale due to competition between the wild type tRNALeu with the mutant tRNASer. Such mistranslation event decreased yeast sporulation, viability and mating efficiencies sharply and affected sexual reproduction strongly. High heterogeneity in cell size and shape and high instability in the genome were also observed, with the appearance of some polyploid or aneuploid cell populations. To further study the cellular and molecular basis of those phenotypes and the biology of mRNA mistranslation, we have also engineered inducible mRNA misreading in yeast and used total mRNA and polysome associated mRNA profiling to determine whether codon misreading affects gene expression. Induced mistranslation up-regulated genes involved in the general stress response, oxidative stress and in the unfolded protein response (UPR). A significant increase in reactive oxygen species (ROS) and a strong negative impact on the capacity of post-mitotic cells to re-initiate growth in fresh media were also observed. This cell viability phenotype was rescued by scavengers of ROS, indicating that oxidative stress is the main cause of cell death caused by mRNA mistranslation. This study provides strong support for the hypothesis that oxidative stress and ROS accumulation, rather than sudden proteome collapse or major proteome disruption, are the main cause of the cellular degeneration observed in human diseases associated mRNA mistranslation.

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11β-Hydroxysteroid dehydrogenases (11beta-HSD) modulate mineralocorticoid receptor transactivation by glucocorticoids and regulate access to the glucocorticoid receptor. The isozyme 11beta-HSD2 is selectively expressed in mineralocorticoid target tissues and its activity is reduced in various disease states with abnormal sodium retention and hypertension, including the apparent mineralocorticoid excess. As 50% of patients with essential hypertension are insulin resistant and hyperinsulinemic, we hypothesized that insulin downregulates the 11beta-HSD2 activity. In the present study we show that insulin reduced the 11beta-HSD2 activity in cancer colon cell lines (HCT116, SW620 and HT-29) at the transcriptional level, in a time and dose dependent manner. The downregulation was reversible and required new protein synthesis. Pathway analysis using mRNA profiling revealed that insulin treatment modified the expression of the transcription factor family C/EBPs (CCAAT/enhancer-binding proteins) but also of glycolysis related enzymes. Western blot and real time PCR confirmed an upregulation of C/EBP beta isoforms (LAP and LIP) with a more pronounced increase in the inhibitory isoform LIP. EMSA and reporter gene assays demonstrated the role of C/EBP beta isoforms in HSD11B2 gene expression regulation. In addition, secretion of lactate, a byproduct of glycolysis, was shown to mediate insulin-dependent HSD11B2 downregulation. In summary, we demonstrate that insulin downregulates HSD11B2 through increased LIP expression and augmented lactate secretion. Such mechanisms are of interest and potential significance for sodium reabsorption in the colon.

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In an mRNA profiling screen performed to unveil novel mechanisms of leukemogenesis, we found that the sentrin-specific protease 5 (SENP5) was significantly repressed in clinical acute myeloid leukemia when compared to healthy neutrophil samples. SENP5 is an enzyme that targets and cleaves small ubiquitin-like modifier (SUMO) residues from SUMOylated proteins. Further investigation with AML neutrophil differentiation cell models showed increased SENP5 expression upon induction of differentiation; in contrast, knocking down SENP5 resulted in significantly attenuated neutrophil differentiation. Our results support a new role of SENP5 in AML pathology, and in particular in the neutrophil differentiation of myeloid leukemic cells.

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Large-scale gene expression studies can now be routinely performed on macroamounts of cells, but it is unclear to which extent current methods are valuable for analyzing complex tissues. In the present study, we used the method of serial analysis of gene expression (SAGE) for quantitative mRNA profiling in the mouse kidney. We first performed SAGE at the whole-kidney level by sequencing 12,000 mRNA tags. Most abundant tags corresponded to transcripts widely distributed or enriched in the predominant kidney epithelial cells (proximal tubular cells), whereas transcripts specific for minor cell types were barely evidenced. To better explore such cells, we set up a SAGE adaptation for downsized extracts, enabling a 1,000-fold reduction of the amount of starting material. The potential of this approach was evaluated by studying gene expression in microdissected kidney tubules (50,000 cells). Specific gene expression profiles were obtained, and known markers (e.g., uromodulin in the thick ascending limb of Henle's loop and aquaporin-2 in the collecting duct) were found appropriately enriched. In addition, several enriched tags had no databank match, suggesting that they correspond to unknown or poorly characterized transcripts with specific tissue distribution. It is concluded that SAGE adaptation for downsized extracts makes possible large-scale quantitative gene expression measurements in small biological samples and will help to study the tissue expression and function of genes not evidenced with other high-throughput methods.

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The adaptive response to extreme endurance exercise might involve transcriptional and translational regulation by microRNAs (miRNAs). Therefore, the objective of the present study was to perform an integrated analysis of the blood transcriptome and miRNome (using microarrays) in the horse before and after a 160 km endurance competition. A total of 2,453 differentially expressed genes and 167 differentially expressed microRNAs were identified when comparing pre- and post-ride samples. We used a hypergeometric test and its generalization to gain a better understanding of the biological functions regulated by the differentially expressed microRNA. In particular, 44 differentially expressed microRNAs putatively regulated a total of 351 depleted differentially expressed genes involved variously in glucose metabolism, fatty acid oxidation, mitochondrion biogenesis, and immune response pathways. In an independent validation set of animals, graphical Gaussian models confirmed that miR-21-5p, miR-181b-5p and miR-505-5p are candidate regulatory molecules for the adaptation to endurance exercise in the horse. To the best of our knowledge, the present study is the first to provide a comprehensive, integrated overview of the microRNA-mRNA co-regulation networks that may have a key role in controlling post-transcriptomic regulation during endurance exercise.

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Ribosome profiling (Ribo-seq), a promising technology for exploring ribosome decoding rates, is characterized by the presence of infrequent high peaks in ribosome footprint density and by long alignment gaps. Here, to reduce the impact of data heterogeneity we introduce a simple normalization method, Ribo-seq Unit Step Transformation (RUST). RUST is robust and outperforms other normalization techniques in the presence of heterogeneous noise. We illustrate how RUST can be used for identifying mRNA sequence features that affect ribosome footprint densities globally. We show that a few parameters extracted with RUST are sufficient for predicting experimental densities with high accuracy. Importantly the application of RUST to 30 publicly available Ribo-seq data sets revealed a substantial variation in sequence determinants of ribosome footprint frequencies, questioning the reliability of Ribo-seq as an accurate representation of local ribosome densities without prior quality control. This emphasizes our incomplete understanding of how protocol parameters affect ribosome footprint densities.

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Multiple sclerosis (MS) is an autoimmune disease with a genetic component, caused at least in part by aberrant lymphocyte activity. The whole blood mRNA transcriptome was measured for 99 untreated MS patients: 43 primary progressive MS, 20 secondary progressive MS, 36 relapsing remitting MS and 45 age-matched healthy controls. The ANZgene Multiple Sclerosis Genetics Consortium genotyped more than 300 000 SNPs for 115 of these samples. Transcription from genes on translational regulation, oxidative phosphorylation, immune synapse and antigen presentation pathways was markedly increased in all forms of MS. Expression of genes tagging T cells was also upregulated (P < 10-12) in MS. A T cell gene signature predicts disease state with a concordance index of 0.79 with age and gender as co-variables, but the signature is not associated with clinical course or disability. The ANZgene genome wide association screen identified two novel regions with genome wide significance: one encoding the T cell co-stimulatory molecule, CD40; the other a region on chromosome 12q13-14. The CD40 haplotype associated with increased MS susceptibility has decreased gene expression in MS (P < 0.0007). The second MS susceptibility region includes 17 genes on 12q13-14 in tight linkage disequilibrium. Of these, only 13 are expressed in leukocytes, and of these the expression of one, FAM119B, is much lower in the susceptibility haplotype (P tdthomlt; 10-14). Overall, these data indicate dysregulation of T cells can be detected in the whole blood of untreated MS patients, and supports targeting of activated T cells in therapy for all forms of MS.

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Ewing sarcoma is an aggressive and poorly differentiated malignancy of bone and soft tissue. It primarily affects children, adolescents, and young adults, with a slight male predominance. It is characterized by a translocation between chromosomes 11 and 22 resulting in the EWSR1-FLI1fusion transcription factor. The aim of this study is to identify putative Ewing sarcoma target genes through an integrative analysis of three microarray data sets. Array comparative genomic hybridization is used to measure changes in DNA copy number, and analyzed to detect common chromosomal aberrations. mRNA and miRNA microarrays are used to measure expression of protein-coding and miRNA genes, and these results integrated with the copy number data. Chromosomal aberrations typically contain also bystanders in addition to the driving tumor suppressor and oncogenes, and integration with expression helps to identify the true targets. Correlation between expression of miRNAs and their predicted target mRNAs is also evaluated to assess the results of post-transcriptional miRNA regulation on mRNA levels. The highest frequencies of copy number gains were identified in chromosome 8, 1q, and X. Losses were most frequent in 9p21.3, which also showed an enrichment of copy number breakpoints relative to the rest of the genome. Copy number losses in 9p21.3 were found have a statistically significant effect on the expression of MTAP, but not on CDKN2A, which is a known tumor-suppressor in the same locus. MTAP was also down-regulated in the Ewing sarcoma cell lines compared to mesenchymal stem cells. Genes exhibiting elevated expression in association with copy number gains and up-regulation compared to the reference samples included DCAF7, ENO2, MTCP1, andSTK40. Differentially expressed miRNAs were detected by comparing Ewing sarcoma cell lines against mesenchymal stem cells. 21 up-regulated and 32 down-regulated miRNAs were identified, includingmiR-145, which has been previously linked to Ewing sarcoma. The EWSR1-FLI1 fusion gene represses miR-145, which in turn targets FLI1 forming a mutually repressive feedback loop. In addition higher expression linked to copy number gains and compared to mesenchymal stem cells, STK40 was also found to be a target of four different miRNAs that were all down-regulated in Ewing sarcoma cell lines compared to the reference samples. SLCO5A1 was identified as the only up-regulated gene within a frequently gained region in chromosome 8. This region was gained in over 90 % of the cell lines, and also with a higher frequency than the neighboring regions. In addition, SLCO5A1 was found to be a target of three miRNAs that were down-regulated compared to the mesenchymal stem cells.

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Hyperglycemia is widely recognized to be a potent stimulator of monocyte activity, which is a crucial event in the pathogenesis of atherosclerosis. We analyzed the monocyte proteome for potential markers that would enhance the ability to screen for early inflammatory status in Type 2 diabetes mellitus (T2DM), using proteomic technologies. Monocytic cells (THP-1) were primed with high glucose (HG), their protein profiles were analyzed using 2DE and the downregulated differentially expressed spots were identified using MALDI TOF/MS. We selected five proteins that were secretory in function with the help of bioinformatic programs. A predominantly downregulated protein identified as cyclophilin A (sequence coverage 98%) was further validated by immunoblotting experiments. The cellular mRNA levels of cyclophilin A in various HG-primed cells were studied using qRT-PCR assays and it was observed to decrease in a dose-dependent manner. LC-ESI-MS was used to identify this protein in the conditioned media of HG-primed cells and confirmed by Western blotting as well as ELISA. Cyclophilin A was also detected in the plasma of patients with diabetes. We conclude that cyclophilin A is secreted by monocytes in response to HG. Given the paracrine and autocrine actions of cyclophilin A, the secreted immunophilin could be significant for progression of atherosclerosis in type 2 diabetes. Our study also provides evidence that analysis of monocyte secretome is a viable strategy for identifying candidate plasma markers in diabetes.

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树突状细胞(dendritic cells, DC)作为机体天然免疫和获得性免疫反应的桥梁和枢纽,发挥着重要的启动和调控作用。随着体外诱导方法的建立和生物学技术的进步,有关DC 的基础生物学研究得到了快速的发展,在诱导方法、个体发生及基因表达和调控等方面,涌现出很多新的、未解的关键问题。同时,随着对粘膜免疫机理研究的深入,DC 在粘膜生态环境中的功能和影响,渐已成为免疫学研究前沿领域中的热点和要点。在本研究中,为了确定DC 体外分化成熟的最短时程,同时为了研究DC 分化成熟相关的基因表达调控,我们建立了快速的DC 体外诱导方法,分析了体外快速诱导 DC 的mi/mRNA 表达谱。此外,在原始分离的女性生殖道共生乳酸杆菌的基础上,以THP-1作为DC 前体细胞的细胞系模型,开展了女性生殖道共生乳酸杆菌刺激活化 THP-1 的研究,希望能够为乳酸杆菌作为生殖道粘膜免疫疫苗的应用提供理论基础。首先,采用外周血单个核细胞(peripheral blood mononuclear cells, PBMC)来源的CD14+细胞为DC 前体,经过GM-CSF 和IL-4 的刺激,1-6 天后得到未成熟DC (immature dendritic cells, iDC),并经成熟因子(TNF-α, IL-1β, IL-6 与PGE2)诱导 1-2 天后,获得成熟DC(mature dendritic cells, mDC)。经过比较和分析,明确了完全分化和成熟各2 天,即“2+2”,为DC 诱导分化的最佳和最短时程,从而证实和建立了DC 体外快速诱导的体系和方法。该方法获得的iDC 与mDC,具有与传统的“6+2” 方法获得的DC 相同的形态与表型,而且,利用该方法获得的DC 总数高于“1+1”, “1+2”与“6+2”的方法,为DC 的生物学研究提供了基础数据。我们进而采用芯片技术,对体外快速分化成熟的DC 进行了mi/mRNA 表达谱分析,确定了DC 不同分化发育阶段特征性的mi/mRNA 表达差异。结果发现,与CD14+ 单核细胞即DC 前体相比,iDC 与mDC 之间具有更加相近的mi/mRNA 表达方式。 miRNA 表达谱分析则表明,不同的miRNA 表达与DC 的不同分化和发育阶段相关。而且,位于同一基因簇内的miRNA,呈现协同表达的情况。特别值得注意的是,本研究发现了在DC 的某些发育阶段特异表达的miRNA,它们在DC 发育过程中的功能,还未得到诠释,它们在DC 某些分化阶段的特异表达,提示了DC 各分化阶段的相关性与特异性。结合mRNA 表达谱分析,我们发现miRNA 的表达与其目的基因的表达在mRNA 水平呈现负相关的特性。同时,免疫相关mRNA 与miRNA 在DC 体外不同发育阶段的表达亦呈现差异,其中,miRNA(如hsa-miR-181a, hsa-miR-223, hsa-miR-155, hsa-miR-146, hsa-miR-106a 与hsa-miR-20a 等)与mRNA(如ALM1 等)参与了特定的与免疫相关的GO(Gene Ontology)与通路(Pathway),提示这些miRNA 与mRNA 可能通过不同的方式调节控制着DC 的体外诱导过程。在有关粘膜生态环境中DC 的分化、成熟及其功能影响的研究中,我们首先通过各种乳酸杆菌鉴定方法的综合应用,确定了6 种原始分离的女性生殖道主要共生乳酸杆菌:发酵乳酸杆菌(L.Fermentum)、约氏乳酸杆菌(L.Johnsonni)、卷曲乳酸杆菌(L.Crispatus)、革氏乳酸杆菌(L.Gasseri)、詹氏乳酸杆菌(L.Jensenii)与德氏乳酸杆菌(L.Delbrueckii )。其中,德氏乳酸杆菌(L.Delbrueckii)和发酵乳酸杆菌(L.Fermentum)具有较高的产H2O2 的能力。在此基础上,我们在与THP-1 的共同培养体系中,将乳酸杆菌对DC 前体的作用和影响进行了比较和研究。结果发现,L.Crispatus 在分离的各原始菌株中,具有最强的刺激THP-1 活化的能力,而且,在相同刺激比例下,L.Crispatus 活菌具有比死菌更强的免疫刺激能力,表现为明显上调THP-1 细胞表面标志CD40、CD80、CD86、 CD1a、CCR6 与CD324 的表达水平,同时可诱导活化THP-1 上调表达Th1 型细胞因子。通过FITC-Dextran 吞噬实验,我们发现,经过L.Crispatus 刺激的THP-1 细胞,其吞噬外来抗原的能力明显下降,但尚未检测到经过活化的THP-1 细胞刺激T 细胞增殖的能力。通过流式细胞术分析的方法,我们检测了TLR1、TLR2、TLR4 与TLR6 在不同的刺激分化阶段的表达水平,结果表明,THP-1 主要通过TLR2 与TLR6 识别女性生殖道L.Crispatus。综上所述,本研究首先通过对DC 体外分化成熟的最短时程的分析,确立了快速诱导DC 的最佳方法,进而利用芯片技术,研究了快速诱导DC 的mi/mRNA 表达谱,揭示了DC 体外分化发育过程中可能的调控途径,为进一步研究DC 的基础生物学提供了恰当的模型和具有指向性的线索。同时,通过与DC 前体THP-1 的共同培养体系,证实了生殖道共生乳酸杆菌的免疫调节作用,为以乳酸杆菌为载体的生殖道粘膜免疫疫苗的研究和应用提供了实验依据

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There is great interindividual variability in HIV-1 viral setpoint after seroconversion, some of which is known to be due to genetic differences among infected individuals. Here, our focus is on determining, genome-wide, the contribution of variable gene expression to viral control, and to relate it to genomic DNA polymorphism. RNA was extracted from purified CD4+ T-cells from 137 HIV-1 seroconverters, 16 elite controllers, and 3 healthy blood donors. Expression levels of more than 48,000 mRNA transcripts were assessed by the Human-6 v3 Expression BeadChips (Illumina). Genome-wide SNP data was generated from genomic DNA using the HumanHap550 Genotyping BeadChip (Illumina). We observed two distinct profiles with 260 genes differentially expressed depending on HIV-1 viral load. There was significant upregulation of expression of interferon stimulated genes with increasing viral load, including genes of the intrinsic antiretroviral defense. Upon successful antiretroviral treatment, the transcriptome profile of previously viremic individuals reverted to a pattern comparable to that of elite controllers and of uninfected individuals. Genome-wide evaluation of cis-acting SNPs identified genetic variants modulating expression of 190 genes. Those were compared to the genes whose expression was found associated with viral load: expression of one interferon stimulated gene, OAS1, was found to be regulated by a SNP (rs3177979, p = 4.9E-12); however, we could not detect an independent association of the SNP with viral setpoint. Thus, this study represents an attempt to integrate genome-wide SNP signals with genome-wide expression profiles in the search for biological correlates of HIV-1 control. It underscores the paradox of the association between increasing levels of viral load and greater expression of antiviral defense pathways. It also shows that elite controllers do not have a fully distinctive mRNA expression pattern in CD4+ T cells. Overall, changes in global RNA expression reflect responses to viral replication rather than a mechanism that might explain viral control.

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Nutrient availability profoundly influences gene expression. Many animal genes encode multiple transcript isoforms, yet the effect of nutrient availability on transcript isoform expression has not been studied in genome-wide fashion. When Caenorhabditis elegans larvae hatch without food, they arrest development in the first larval stage (L1 arrest). Starved larvae can survive L1 arrest for weeks, but growth and post-embryonic development are rapidly initiated in response to feeding. We used RNA-seq to characterize the transcriptome during L1 arrest and over time after feeding. Twenty-seven percent of detectable protein-coding genes were differentially expressed during recovery from L1 arrest, with the majority of changes initiating within the first hour, demonstrating widespread, acute effects of nutrient availability on gene expression. We used two independent approaches to track expression of individual exons and mRNA isoforms, and we connected changes in expression to functional consequences by mining a variety of databases. These two approaches identified an overlapping set of genes with alternative isoform expression, and they converged on common functional patterns. Genes affecting mRNA splicing and translation are regulated by alternative isoform expression, revealing post-transcriptional consequences of nutrient availability on gene regulation. We also found that phosphorylation sites are often alternatively expressed, revealing a common mode by which alternative isoform expression modifies protein function and signal transduction. Our results detail rich changes in C. elegans gene expression as larvae initiate growth and post-embryonic development, and they provide an excellent resource for ongoing investigation of transcriptional regulation and developmental physiology.

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Gene expression profiling signatures may be used to classify the subtypes of Myelodysplastic syndrome (MDS) patients. However, there are few reports on the global methylation status in MDS. The integration of genome-wide epigenetic regulatory marks with gene expression levels would provide additional information regarding the biological differences between MDS and healthy controls. Gene expression and methylation status were measured using high-density microarrays. A total of 552 differentially methylated CpG loci were identified as being present in low-risk MDS; hypermethylated genes were more frequent than hypomethylated genes. In addition, mRNA expression profiling identified 1005 genes that significantly differed between low-risk MDS and the control group. Integrative analysis of the epigenetic and expression profiles revealed that 66.7% of the hypermethylated genes were underexpressed in low-risk MDS cases. Gene network analysis revealed molecular mechanisms associated with the low-risk MDS group, including altered apoptosis pathways. The two key apoptotic genes BCL2 and ETS1 were identified as silenced genes. In addition, the immune response and micro RNA biogenesis were affected by the hypermethylation and underexpression of IL27RA and DICER1. Our integrative analysis revealed that aberrant epigenetic regulation is a hallmark of low-risk MDS patients and could have a central role in these diseases.