Dynamic profiling of the protein life cycle in response to pathogens (protein)
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Aviv Regev
PROVIDER: E-GEOD-59792 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:We improved the tagmentation-based whole genome bisulfite sequencing technology, enabling stable library construction with complexity from minimally 0.5ng of initial genomic DNA, which equals less than 100 cells. This new approach is highly attractive for the complete methylome analysis of very limited cell numbers, e.g., pre-implantation embryos, or tiny biopsy specimens. Applying this newly modified T-WGBS, we sequenced the methylome of a rice strain using libraries constructed from 10 ng, 1 ng and 0.5 ng of input genomic DNA. Two libraries were independently constructed and sequenced for each aliquot of input genomic DNA
2014-05-01 | E-GEOD-57062 | biostudies-arrayexpress
Project description:Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle. Mouse primary dendritic cells were treated with LPS or mock stimulus and profiled over a 12-hour time course. Cells were grown in M-labeled SILAC media, which was replaced with H-labeled SILAC media at time 0. Aliquots were taken at 0, 0.5, 1, 2, 3, 4, 5, 6, 9, and 12 hours post-stimulation and added to equal volumes of a master mix of unlabeled (L) cells for the purpose of normalization. RNA-Seq was performed at 0, 1, 2, 4, 6, 9, and 12 hours post-stimulation.
2015-03-06 | E-GEOD-59784 | biostudies-arrayexpress
Project description:The interplay between pathogens and hosts has been studied for decades using targeted approaches such as the analysis of mutants and host immunological responses. Although much has been learned from such studies, they focus on individual pathways and fail to reveal the global effects of infection on the host. To alleviate this issue, high-throughput methods such as transcriptomics and proteomics have been used to study host-pathogen interactions. Recently, metabolomics was established as a new method to study changes in the biochemical composition of host tissues. We report a metabolomics study of Salmonella enterica serovar Typhimurium infection. We used Fourier Transform Ion Cyclotron Resonance Mass Spectrometry with Direct Infusion to reveal that dozens of host metabolic pathways are affected by Salmonella in a murine infection model. In particular, multiple host hormone pathways are disrupted. Our results identify unappreciated effects of infection on host metabolism and shed light on mechanisms used by Salmonella to cause disease, and by the host to counter infection. Female C57BL/6 mice were infected with Salmonella enterica serovar Typhimurium SL1344 cells by oral gavage. Feces and livers were collected and metabolites extracted using acetonitrile. For experiments with feces, samples were collected from 4 mice before and after infection. For liver experiments, 11 uninfected and 11 infected mice were used. Samples were combined into 3 groups of 3-4 mice each, resulting in the analysis of 3 group samples of uninfected and 3 of infected mice. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140 [PMID 19081807]). To identify differences in metabolite composition between uninfected and infected samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from uninfected and infected mice. To assign possible metabolite identities, monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org). Masses were searched against the Mus musculus database within a mass error of 3 ppm. Data were analyzed by unpaired t tests with 95% confidence intervals.
2011-02-08 | E-GEOD-21720 | biostudies-arrayexpress
Project description:In Drosophila melanogaster, Hox genes are organized in an anterior and a posterior cluster, called Antennapedia complex and bithorax complex, located on the same chromosome arm and separated by 10 Mb of DNA. Both clusters are repressed by Polycomb group (PcG) proteins. Here, we show that genes of the two Hox complexes can interact within PcG bodies in the cell nucleus in tissues where they are corepressed. This colocalization increases during development and depends on PcG proteins. Hox gene contacts are part of a large gene interaction network that includes other PcG target genes. Moreover, they are conserved in the distantly related Drosophila virilis species, and mutations on one of the loci weaken silencing of genes in the other locus, resulting in the exacerbation of homeotic phenotypes in a sensitized genetic background. Thus, the three-dimensional organization of Polycomb target genes in the cell nucleus is an evolutionarily conserved phenomenon that stabilizes the maintenance of epigenetic gene silencing. Chromosome Conformation Capture on Chip (4C) was used to establish chromosomal interactions involving the Fab7 polycomb response element from the bithorax complex of Drosophila melanogaster. Larval brain and anterior discs from 3rd instar larvae were dissected to produce 2 replicate experiments with wild-type (WT-r1, WT-r2) and Fab-712 (F12-r1, F12-r2) fly lines. The 3C was performed as previously described (Hagege et al., 2007; Miele and Dekker, 2009) with the main differences being the use of DpnII (New England Biolabs), a 4 bp cutter restriction enzyme, and a fixation in 3% para-formaldehyde for 30 min, maximizing sensitivity and resolution of contact detection. The 4C DNA and DpnII digested genomic DNA (Control) samples were hybridized using a tiling array mapping the whole chromosome 3R which includes the antenapedia and bithorax hox clusters.
2010-12-31 | E-GEOD-23887 | biostudies-arrayexpress
Project description:Malaria represents a major public health problem in Africa [1]. In the East African highlands, even in high-altitude areas previously considered too cold to support vector population and parasite transmission [2], frequent malaria epidemics have been reported since the 1980M-bM-^@M-^Ys [3]. Plasmodium falciparum infections have been detected in areas as high as 1,600-2,400m above sea level in Africa [4], albeit there is a marked gradient of parasite prevalence along the altitude transect [5-7]. Both the historical absence of malaria in the African highlands and now the intensive malaria control efforts put in place after the recent outbreaks have reduced malaria prevalence and incidence [8], rendering the East African highlands particularly prone to epidemic malaria due to the lack of the protective immunity, and causing significant human mortality amongst all age groups [9]. Therefore, malaria transmission monitoring in the East African highlands becomes a particularly important public health issue.Despite the overall lower immunity of the population in these historically malaria-free areas, the many successive outbreaks since the 1980M-bM-^@M-^Ys may have generated some level of immunity against P. falciparum amongst highland residents. The antibody response to Plasmodium is cumulative and long lasting, developing after repeated exposures to the parasite and persisting for months or years after infection was resolved. The antibody response to Plasmodium varies amongst individuals of different age groups (i.e. toddlers, children and adults) as well as amongst individuals of same age groups from areas of different parasite prevalence [10]. The repertoire of targets of the antibody response also expands after multiple infections, with the number of recognized antigens being correlated to parasite prevalence, age and immunity to clinical malaria [11,12]. Serological studies bring forth indirect evidence of human exposure to the parasite, and can reliably assess its prevalence and transmission intensity in an endemic area [13-15]. However, the vast majority of serological studies of malaria have been, hereto, limited to a small number of the parasiteM-bM-^@M-^Ys antigens. The work we present here is an expansion of the study published by Badu et al. [16], in which the antibody response to the 19kDa fragment of merozoite surface protein 1 (MSP-119) was examined in populations from two endemic areas in the western Kenyan highlands. There, the tremendous variations of malaria transmission intensity in a small spatial scale are caused by substantial differences in altitude, topography and other environmental conditions [6,7,17,18]. We now expand our antibody profiling survey to include 854 P. falciparum proteins by using high-throughput proteomic microarray technology. Protein microarrays have been used to explore the humoral response to P. falciparum in other African settings [19-24], but this is the broadest characterization of the antibody responses of the population of western Kenyan highlands to date. In the present study we: i) determined the serological reactivity against P. falciparum (Pf) in subjects residing in a low transmission area, and detected hotspots of transmission; ii) examined the dynamics of antibody response to hundreds of Pf proteins generated by sera from toddlers, older children and adults residing in two endemic areas differing in transmission intensities, during two distinct malaria seasons, and compared the intensity, breadth and antigenic targets of these responses; and iii) identified candidate Pf antigenic markers that could provide more sensitive serological surveillance to detect micro-geographic variations in malaria transmission levels and differentiate hotspots of infection in low endemic areas. (references provided in the 'readme.txt') Antibody profiling was performed on sera from residents of western Kenyan highlands against Plasmodium falciparum. One-hundred and ten age-stratified serum samples collected during the dry and the wet seasons, from residents of two locations with differing parasite transmission levels (uphill and valley bottom), and 10 unexposed USA controls were probed on a protein microarray displaying 854 unique proteins of P. falciparum.
2013-06-20 | E-GEOD-48089 | biostudies-arrayexpress
Project description:During the colonization of hosts, bacterial pathogens are presented with many challenges that must be overcome for colonization to successfully occur. This requires bacterial sensing of the surroundings and adaptation to the conditions encountered. One of the major impediments to pathogen colonization of the mammalian gastrointestinal tract is the antibacterial action of bile. Salmonella enterica serovar Typhimurium has specific mechanisms involved in resistance to bile. Besides being resistant to it, Salmonella can also successfully multiply in bile, using it as a source of nutrients. This accomplishment is highly relevant to pathogenesis, as Salmonella colonizes the gallbladder of hosts, where it can be carried asymptomatically and promote further host spread and transmission. In order to gain insights into the mechanisms used by Salmonella to grow in bile, we studied the changes elicited by Salmonella in the chemical composition of bile during growth in vitro and in vivo through a metabolomics approach. Our data suggest that phospholipids are an important source of carbon and energy for Salmonella during growth in the laboratory as well as during gallbladder infections of mice. Further studies in this area will generate a better understanding of how Salmonella exploits this generally hostile environment for its own benefit. For in vitro studies, bile was extracted from C57BL/6 mice and used immediately. An overnight culture of Salmonella enterica serovar Typhimurium SL1344 was used to inoculate 10 ?L of bile at an approximate density of 5x10^6 cells/mL. The experiment was performed in duplicate, and a total of 2 uninfected and 2 infected bile samples were studied. Samples were incubated for 24 hours at 37 oC with shaking. After incubation, samples were centrifuged to remove bacteria and the supernatant was saved for metabolomic analyses. For in vivo studies, C57BL/6 mice were infected with approximately 10^8 bacterial cells by oral gavage. Four groups of three to four mice each were either infected with Salmonella or kept uninfected (total of 11 mice per treatment group). Five days after infection, all mice were sacrificed and bile was collected. Samples were centrifuged and supernatants saved for metabolomic analyses. Samples were prepared by mixing equal volumes of bile from three to four mice, generating three samples per treatment (uninfected and infected), which were used in the subsequent steps. Seven microliters of each sample was evaporated and the residue resuspended in 50% acetonitrine. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140). To identify differences in metabolite composition between different groups of samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from each group of mice. To assign possible metabolite identities to the masses selected as described above, the monoisotopic neutral masses of interest were queried against the Human Metabolome Database (HMDB, http://www.hmdb.ca), with a tolerance of 0.001 Da.
2011-07-06 | E-GEOD-30404 | biostudies-arrayexpress
Project description:To investigate the regulatory mechanisms governing the malignant signature of different gliomas we analyzed microRNA expression profiles in human tumor samples of world health organization (WHO) grade I (benign tumors), II (low grade tumors) and IV (high grade tumors) and from primary cultures obtained from tumor samples of grade II and IV. Patients This study included tumor samples histologically verified as astrocytic gliomas obtained from patients who had undergone craniotomy for microsurgical tumor removal. According to the revised WHO classification, tumors were diagnosed as: grade I or pilocytic astrocytomas; grade II or diffuse fibrillary astrocytomas; grade IV or glioblastoma multiforme. Primary cell cultures from grade II and grade IV gliomas were also obtained and miRNA expression in these cultures were analyzed RNA extraction Total RNA, including small RNA, was isolated from tissue samples using the mirVanaTM miRNA Isolation Kit (Ambion) following the standard protocol. The quantity and quality of the purified RNA was evaluated by spectrophotometric analysis and electrophoresis on denaturing gel of acrylamide. Multiplex Real-Time Quantitative Reverse-Transcriptase Polymerase Chain Reaction (RT-PCR) The miRNAs were first converted to cDNA using Multiplex RT for TaqMan Array Human MicroRNA Panel. The RT Master mix included 100 mM each of dNTPs , 50 U/ml MultiScrabe reverse transcriptase (Applied Biosystems), 20 U/M-BM-5l RNase inhibitor (Applied Biosystems) and 10X RT Buffer. The 10 M-BM-5l reactions, including 7 M-BM-5l of RT master mix, 2 M-BM-5l of purified microRNA and 1 M-BM-5l of Multiplex RT Human primer pool (Applied Biosystem), were incubated in ice for 5 min and then in a thermal cycler for 30 min at 16M-BM-0C, 30 min at 42M-BM-0C, 5 min at 85M-BM-0C, and then hold at 4M-BM-0C. miRNA levels were normalized to the expression of small nucleolar RNAs, RNU44, RNU48 and RNU6B. All reverse transcriptase reactions, including no-template controls and RT controls, were run in duplicate. Real-time PCR was performed using a standard TaqMan PCR kit procedure on an M-bM-^@M-^\Real Time Fast 7900 HTM-bM-^@M-^] PCR System (Applied Biosystems). The 100 M-BM-5l PCR included 50 M-BM-5l RT product (before diluited 1:60) and 50 M-BM-5l TaqMan Universal PCR Master Mix (2X) (Applied Biosystems). The total volume were loaded into Card TaqMan Low Density Array Human MicroRNA Panel (Applied Biosystem) including a total of 384 human microRNAs publicated on databases www.sanger.ac.uk. The reaction cards was runned at 50M-BM-0C for 2 min and 95M-BM-0C for 10 min, followed by 40 cycles of 97M-BM-0C for 30s and 59,7M-BM-0C for 1 min. All reactions were run in triplicate. Analysis of data was performed using the SDS 2.3 software using the 2-M-bM-^HM-^FM-bM-^HM-^FCt (relative quantitative) method . The M-bM-^HM-^FCt of every miRNA was determined in relation to the endogenous control RNA U6 that was invariably expressed in all samples. The M-bM-^HM-^FM-bM-^HM-^FCt value was determined in relation to the calibrator, namely the normal brain tissue. Resulting data were grouped according to the tumor grading e selectioned using a cut-off value of 3. Results were expressed as M-bM-^@M-^\fold changeM-bM-^@M-^] over normal brain tissue. We analyzed two samples of grade I, two samples of grade II, two samples of grade IV gliomas. Four samples form norma brain were used as norma control. Primary cell cultures form grade II and grade IV samples were used for the analysis. All reverse transcriptase reactions, including no-template controls and RT controls, were run in triplicate.
2013-09-18 | E-GEOD-50924 | biostudies-arrayexpress
Project description:To cause disease, Salmonella enterica serovar Typhimurium requires two type-III secretion systems, encoded on Salmonella Pathogenicity Islands 1 and 2 (SPI-1 and -2). These secretion systems serve to deliver virulence proteins, termed effectors, into the host cell cytosol. While the importance of these effector proteins to promote colonization and replication within the host has been established, the specific roles of individual secreted effectors in the disease process are not well understood. In this study, we used an in vivo gallbladder epithelial cell infection model to study the function of the SPI-2-encoded effector, SseL. Deletion of the sseL gene resulted in bacterial filamentation and elongation and unusual localization of Salmonella within infected epithelial cells. Infection with the ?sseL strain also caused dramatic changes in lipid metabolism and led to massive accumulation of lipid droplets in infected cells. Some of these changes were investigated through metabolomics of gallbladder tissue. This phenotype was directly attributed to the deubiquitinase activity of SseL, as a Salmonella strain carrying a single point mutation in the catalytic cysteine resulted in the same phenotype as the deletion mutant. Excessive buildup of lipids due to the absence of a functional sseL gene was also observed in S. Typhimurium-infected livers. These results demonstrate that SseL alters host lipid metabolism in infected epithelial cells by modifying ubiquitination patterns of cellular targets. Female C57BL/6 mice were infected with the indicated strain of Salmonella enterica serovar Typhimurium by oral gavage. Four gallbladders were collected and pooled per sample group and metabolites extracted using a mixture of methanol and chloroform. Extracts were infused into a 12-T Apex-Qe hybrid quadrupole-FT-ICR mass spectrometer equipped with an Apollo II electrospray ionization source, a quadrupole mass filter and a hexapole collision cell. Raw mass spectrometry data were processed as described elsewhere (Han et al. 2008. Metabolomics. 4:128-140). To identify differences in metabolite composition between different groups of samples, we filtered the list of masses for metabolites which were present on one set of samples but not the other. Additionally, we calculated the ratios between averaged intensities of metabolites from each group of mice. To assign possible metabolite identities, monoisotopic neutral masses of interest were queried against MassTrix (http://masstrix.org). Masses were searched against the Mus musculus database within a mass error of 3 ppm.
2011-08-22 | E-GEOD-27604 | biostudies-arrayexpress
Project description:The transcription factor (TF) LEAFY COTYLEDON1 (LEC1) acts as an essential regulator of Arabidopsis embryogenesis and seed development. It controls aspects of early embryogenesis such as cotyledon identity and suspensor morphology, as well as seed maturation processes such as storage compound accumulation, acquisition of desiccation tolerance and dormancy. To identify downstream components of the LEC1 regulon, dexamethasone-regulated expression of LEC1 and ChIP/chip were applied and revealed the enrichment of phytohormone- as well as elongation-related genes among LEC1 target genes. Two weeks old 35S::LEC1::GR seedlings were treated with DEX or ethanol for 24 hours before cross-linking and chromatin isolation. Four biological replicates were performed, using an ethanol-treated sample as control (LEC1_EtOH versus LEC1_DEX). After data normalization, statistical analysis and exclusion of putative false negatives, a number of 356 target promoter regions were identified.
2012-03-30 | E-GEOD-22352 | biostudies-arrayexpress
Project description:Candidate genes were successfully screened by Cancer PathwayFinder PCR Array Cancer PathwayFinder PCR Array was applied to compare gene changes in xenograft tumor samples of HCC model. A total of 12 samples were examined with 6 from Sorafenib treated group and 6 from control.
2011-11-11 | E-GEOD-33621 | biostudies-arrayexpress