Pathogen-responsive Lens ervoides proteome
Ontology highlight
ABSTRACT:
INSTRUMENT(S): 5800 System
ORGANISM(S): Lens Ervoides
SUBMITTER: 
Vijai Bhadauria and Sabine Banniza
PROVIDER: MSV000085911 | MassIVE | Wed Aug 05 02:34:00 BST 2020
REPOSITORIES: MassIVE
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE30721: Profiling proteome-scale antibody responses to M. tuberculosis proteins in sera of macaques infected with M. tuberculosis GSE30722: Profiling proteome-scale antibody responses to M. tuberculosis proteins in TB suspect's sera Refer to individual Series
2012-07-05 | E-GEOD-31368 | biostudies-arrayexpress
Project description:The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides was lacking. To this end, Akhilesh Pandey's lab reported a draft map of the human proteome based on high resolution Fourier transform mass spectrometry-based proteomics technology, which included an in-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells ( http://dx.doi.org/10.1038/nature13302 ). The profiling resulted in identification of proteins encoded by greater than 17,000 genes accounting for ~84% of the total annotated protein-coding genes in humans. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) complements available human genome and transcriptome data to accelerate biomedical research in health and disease. Pandey's lab and collaborators request that those considering use of this primary dataset for commercial purposes contact pandey@jhmi.edu. The full details of this study can be found in the PRIDE database: www.ebi.ac.uk/pride/archive/projects/PXD000561/. This ArrayExpress entry represents a top level summary of the metadata only which formed the basis of the reanalysis performed by Joyti Choudhary's team ( jc4@sanger.ac.uk ), results of which are presented in the Expression Atlas at EMBL-EBI : http://www.ebi.ac.uk/gxa/experiments/E-PROT-1.
2015-03-10 | E-PROT-1 | biostudies-arrayexpress
Project description:Human infection with Mycobacterium tuberculosis results in a continuum of ill-defined, clinical manifestations with stable latent M. tuberculosis infection (LTBI) and severe active disease at the ends. Identifying different states of infection is of importance to tuberculosis (TB) control since risk of developing active disease varies among different asymptomatic states while infectiousness varies among patients with different bacterial burden. We investigated changes in proteome-scale antibody responses during disease progression in a non-human primate model of tuberculosis. We probed M. tuberculosis proteome microarrays with serial sera collected from three infection-outcome groups (active, reactivation, and latent). We found that each infection outcome is associated with characteristic changes in the antibody levels and number of antigenic targets, which suggested an association between antibody responses and bacillary burden. Additional proteome-scale serological profiling of > 400 human TB suspects established that antibody responses are positively associated with bacterial load. Thus tuberculosis-specific antibody levels and number of antigenic targets increases with disease progression. Serum samples collected from adult patients with suspected tuberculosis during a multi-site study was used to probe whole proteome microarrays. Subject recruitment was conducted under uniform protocols approved by the institutional ethics committee at each site. Final diagnosis of active TB was based on positive M. tuberculosis culture results. The active TB patients were further subdivided into smear-positive and negative disease based on results of Ziehl-Neelsen staining of sputum smears for acid fast bacilli. Active TB was excluded as a diagnosis (Non-TB Disease [NTBD] patients) based on having negative M. tuberculosis culture and smear results and on having an alternate diagnosis. All subjects were presumably negative for HIV infection given the very low incidence of HIV infection in the study sites. Sera from 169 TB and 242 NTBD patients were selected for microarray probing. The control sera (n = 14) which was used to generate negative control distribution for each protein were negative to latent M. tuberculosis infection, as indicated by negative results to tuberculin skin test.
2012-07-05 | E-GEOD-30722 | biostudies-arrayexpress
Project description:Human infection with Mycobacterium tuberculosis results in a continuum of ill-defined, clinical manifestations with stable latent M. tuberculosis infection (LTBI) and severe active disease at the ends. Identifying different states of infection is of importance to tuberculosis (TB) control since risk of developing active disease varies among different asymptomatic states while infectiousness varies among patients with different bacterial burden. We investigated changes in proteome-scale antibody responses during disease progression in a non-human primate model of tuberculosis. We probed M. tuberculosis proteome microarrays with serial sera collected from three infection-outcome groups (active, reactivation, and latent). We found that each infection outcome is associated with characteristic changes in the antibody levels and number of antigenic targets, which suggested an association between antibody responses and bacillary burden. Additional proteome-scale serological profiling of > 400 human TB suspects established that antibody responses are positively associated with bacterial load. Thus tuberculosis-specific antibody levels and number of antigenic targets increases with disease progression. To investigate antibody responses during the course of infection, we probed M. tuberculosis proteome microarrays with serial sera collected from experimentally infected cynomolgus macaques. Based on infection outcome, the macaques were grouped into three classes; A) active disease (n = 4), B) latent infection (n=5) and C) reactivation disease (n = 5). Note that the macaques in the reactivation class developed signs of disease spontaneously without any experimental intervention. For each animal, we tested one pre-infection time point and approximately ten post-infection time points at one-month intervals.
2012-07-05 | E-GEOD-30721 | biostudies-arrayexpress
Project description:Understanding the immune response to tuberculosis requires greater knowledge of humoral responses. To characterize antibody targets and the effect of disease parameters on target recognition, we developed a systems immunology approach that integrated detection of antibodies against the entire Mycobacterium tuberculosis proteome, bacterial metabolic and regulatory pathway information, and patient data. Probing ~4,000 M. tuberculosis proteins with sera from >500 suspected tuberculosis patients worldwide revealed that antibody responses recognized ~10% of the bacterial proteome. This result defines the immunoproteome of M. tuberculosis, which is rich in membrane-associated and extracellular proteins. Most serum reactivity during active tuberculosis focused onto ~0.5% of the proteome. Within this pool, which is selectively enriched for extracellular proteins (but not for membrane-associated proteins), relative target preference varied among patients. The shift in relative M. tuberculosis protein reactivity observed with active tuberculosis defines the evolution of the humoral immune response during M. tuberculosis infection and disease. Peripheral blood was collected from prospectively enrolled TB suspects among subjects seeking care for pulmonary symptoms at clinics associated with national TB control programs in 11 countries. M. tuberculosis proteome microarrays representing 4099 bacterial protein spots were probed with sera from 561 TB suspects. Based on the final diagnosis, they belonged to two classes: TB (n=254) and Non-TB Disease (n=307). In addition, healthy individuals negative to Latent TB Infection (LTBI neg, n=64) were also tested (negative control sera). Each serum was tested with a single array and no replicate experiments were performed. The reactivity of a serum to an M. tuberculosis protein (reactivity call) was defined based on the distribution of negative control sera intensity for that protein using Z-statistics. Based on the distribution of reactivity calls, 27 outlier samples reacting with more than 20 proteins were excluded from further analysis. The association of reactivity calls of each protein with TB/NTBD status of TB suspects was determined by estimating odds ratio and 95% confidence interval.
2010-07-13 | E-GEOD-19433 | biostudies-arrayexpress
Project description: Not available
| S-EPMC3666911 | biostudies-literature
Project description:We adopted an omics (transcriptome, proteome, and metabolome) approach to characterize the differentially regulated molecules in mouse lens fiber cells exposed to cigarette smoke (CS). Eight pregnant female mice (gestation days 19-20) were placed in a smoking chamber that served as a CS-exposed group. The mothers and newborn pups were exposed to CS for five hours/day, five days/week for 110 days. In parallel, mice were kept in normal cages that served as a control group. The ocular lenses were isolated and fiber cells were separated from the lens epithelium under a microscope. The control and CS-exposed groups were maintained in four biological replicates each consisting of a pool of lens fiber cells from four eyes. The eight biological replicates (four control and four CS-exposed) of fiber cells were used for the next-generation-based transcriptome (RNA-Seq) sequencing, mass-spectrometry-based proteome, and metabolome profiling. RNA-Seq analysis identified the expression (≥1.0 FPKM) of 9,590 and 9,531 genes in control and CS-exposed fiber cells, respectively. The analysis identified 348 differentially expressed genes, which included 186 downregulated and 162 upregulated genes in CS-exposed fiber cells. Proteome profiling revealed a total of 2,424 proteins in control and CS-exposed fiber cells. Metabolome profiling identified a total of 280 metabolites, marked with decreased levels of branched-chain amino acids (BCAAs)-related metabolites in CS-exposed fiber cells. In conclusion, we have established a comprehensive omics profile of CS-exposed lens fiber cells. To the best of our knowledge, this is the first report investigating a comprehensive omics profile of CS-exposed fiber cells.
2021-09-29 | GSE144818 | GEO
Project description:Here, we investigated the Core Stress Responsive proteome of Medicago truncatula in response to moderate drought stress.
2021-07-20 | PXD022278 | Pride
Project description:CDI HuProt™ (Human Proteome Microarray), was used to study Pituitary Adenomas PAs (Acromegaly, Cushing's and NFPA) using serum samples, from around 14 individuals (4 Healthy control, 4 Acromegaly, 3 Cushing’s and 3 NFPAs patient samples) were used study their autoantibody profiles. Patient serum samples in dilution 1:500 ratio were used for primary incubation. Secondary incubation was performed with anti-human IgG conjugated with Cy5 (Jackson Immuno Research, catalogue number 109-175-064) in 1:5000 dilutions was used. This CDI HuProt™ array was scanned with GenePix 4000B Microarray Scanner (Molecular Devices), with a PMT gain of 500, Scan Power 100 and Laser power of 1.31.
2022-09-30 | E-MTAB-11947 | biostudies-arrayexpress
Project description:Successful vaccination against smallpox with conventional vaccinia virus is usually determined by the development of a vesicular skin lesion at the site of vaccinia inoculation, called a ‘take’. Although previous vaccination is known to be associated with attenuation of the take, the immunology that underlies a no-take in vaccinia-naïve individuals is not well understood. We hypothesized that antibody profiling of individuals before and after receiving vaccinia would reveal differences between takes and no-takes that may help better understand the phenomenon. Using vaccinia proteome microarrays and recombinant protein ELISAs we first examined the antibody response in vaccinia-naïve individuals that failed to take after receiving different doses of the replication competent smallpox vaccines, DryVax® and APSV. Most that received diluted vaccine failed to respond, whereas 4 other no-takes receiving diluted vaccine, and 4 receiving undiluted vaccine, mounted an antibody response. Interestingly, their antibody profiles were not significantly different from controls that did show a take. However, we did find elevated antibody titers in no-takes prior to receiving DryVax® that was significantly different from takes. Although the sample size studied was small, we conclude the failure to take in responders correlates with pre-existing immunity of unknown etiology that may attenuate the skin reaction in a way similar to previous smallpox vaccination. Antibody profiling was peformed on sera from vaccinees receiving smallpox vaccines, either Wyeth DryVax or Aventis Pasteur Vaccine ('WetVax') in NIH-sponsored clinical trials. These samples comprise 23 vaccinia naïve no-takes, and 50 vaccinia naïve takes and 25 previoulsy vaccinated takes as controls. Samples from d0 (day of vaccination) and at the peak of the antibody repsonse (d28) were taken from each donor and probed in triplicate against the proteome arrays.
2012-01-09 | E-GEOD-34931 | biostudies-arrayexpress