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.
Project description:To understand the impact of alternative translation initiation on a proteome, we performed the first study on protein turnover using positional proteomics and ribosome profiling to distinguish between N-terminal proteoforms of individual genes. Overall, we monitored the stability of 1,941 human N-terminal proteoforms, including 147 N-terminal proteoform pairs that originate from alternative translation initiation, alternative splicing or incomplete processing of the initiator methionine. Ribosome profiling of lactimidomycin and cycloheximide treated human Jurkat T-lymphocytes
Project description:Fatal COVID-19 is often complicated by hypoxemic respiratory failure and acute respiratory distress syndrome (ARDS). Mechanisms governing lung injury and repair in ARDS remain poorly understood because there are no biomarker-targeted therapeutics for patients with ARDS. We hypothesized that plasma proteomics may uncover unique biomarkers that correlate with disease severity in COVID-19 ARDS. We analyzed the circulating plasma proteome from 32 patients with ARDS and COVID-19 using an aptamer-based platform, which measures 7289 proteins, and correlated protein measurements with sequential organ failure assessment (SOFA) scores at 2 time points (Days 1 and 7 following ICU admission). We compared differential protein abundance and SOFA scores at each individual time point and identified 119 proteins at Day 1 and 46 proteins at Day 7 that correlated with patient SOFA scores. We modeled the relationship between dynamic protein abundance and changes in SOFA score between Days 1 and 7 and identified 39 proteins that significantly correlated with changes in SOFA score. Using Ingenuity Pathway Analysis, we identified increased ephrin signaling and acute phase response signaling correlated with increased SOFA scores over time, while pathways related to pulmonary fibrosis signaling and wound healing had an inverse relationship with SOFA scores between Days 1 and 7. These findings suggest that persistent inflammation may drive worsened disease severity, while repair processes correlate with improvements in organ dysfunction over time. This approach is generalizable to more diverse ARDS cohorts for identification of protein biomarkers and disease mechanisms as we strive towards targeted therapies in ARDS.
Project description:The dataset presented in this work has been obtained using a label-free quantitative proteomic analysis of rat spleen. A robust method for extraction of proteins from rat spleen tissue and LC-MS-MS analysis was developed using a urea and SDS-based buffer. Different fractionation methods were compared. A total of 3484 different proteins were identified from the pool of all experiments run in this study (a total of 2460 proteins with at least two peptides). A total of 1822 proteins were identified from nine non-fractionated pulse gels, 2288 proteins and 2864 proteins were identified by SDS-PAGE fractionation into three and five fractions respectively. The proteomics data are deposited in ProteomeXchange Consortium via PRIDE PXD003520, Progenesis and Maxquant output are presented in the supported information. The generated list of proteins under different regimes of fractionation allow assessing the nature of the identified proteins; variability in the quantitative analysis associated with the different sampling strategy and allow defining a proper number of replicates for future quantitative analysis.
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.
Project description:Nutrigenomics analysis was used to investigate the molecular responses to dietary Cu deficiency independently and in combination with 30% (w/w) sucrose in a mature rat model of NAFLD. Low Cu significantly decreased hepatic and serum Cu, and induced NAFLD-like histopathology, mild steatosis, up-regulated transcripts in inflammation and hepatic stellate cell activation, and significantly increased oxidative stress. Rats fed low Cu together with 30% sucrose also developed insulin resistance, increased ATP citrate lyase and FASN expression, and greater oxidative stress. High sucrose with adequate Cu also promoted inflammation and fibrosis, but not steatosis. This study indicates that low dietary Cu and sucrose consumption are singular and synergistic dietary factors in promotion of NAFLD and NASH that act independently of obesity or severe steatosis, likely by promoting oxidative stress and activation of inflammation and fibrosis.
Project description:Nutrigenomics analysis was used to investigate the molecular responses to dietary Cu deficiency independently and in combination with 30% (w/w) sucrose in a mature rat model of NAFLD. Low Cu significantly decreased hepatic and serum Cu, and induced NAFLD-like histopathology, mild steatosis, up-regulated transcripts in inflammation and hepatic stellate cell activation, and significantly increased oxidative stress. Rats fed low Cu together with 30% sucrose also developed insulin resistance, increased ATP citrate lyase and FASN expression, and greater oxidative stress. High sucrose with adequate Cu also promoted inflammation and fibrosis, but not steatosis. This study indicates that low dietary Cu and sucrose consumption are singular and synergistic dietary factors in promotion of NAFLD and NASH that act independently of obesity or severe steatosis, likely by promoting oxidative stress and activation of inflammation and fibrosis. Mature (6 months old) male Wistar Rats that had been allowed ad libitum access to Mazuri rodent pellets were used in the study. Twenty-four rats were divided into four groups and fed for 12 weeks with diets based on the Purified AIN76A formulation, modified for target sucrose and Cu content (Custom Animal Diets, Bangor, NJ). Sucrose and copper content in diets were as follows: ‘A’ CuD/30%- Cu deficient (<0.3 mg Cu/kg)/30% sucrose, ‘B’ CuA/30%- Cu adequate (125 mg/kg)/30% sucrose, ‘C’ CuD/10%- <0.3 mg/kg Cu/10% sucrose, and ‘D’ CuA (125 mg/kg Cu)/10% sucrose (control). Starch and dextrin were used to equalize carbohydrates.