Project description:The expression of the long non-coding RNAs (lncRNAs) in the active tuberculosis patients,multidrug-resistant tuberculosis patients,cured tuberculosis subjects and healthy controls were scanned using lncRNA microarray.The Arraystar Human LncRNA Microarray version 4.0 (Agilent Technologies) was used,containing 40173 lncRNA probes and 20730 mRNA probes for the detection of lncRNAs and mRNAs in the sample. Non-coding RNAs and mRNAs profiling by array
Project description:Although host genetics influences susceptibility to tuberculosis, few genes determining disease outcome have been identified. We hypothesized that macrophages from individuals with different clinical manifestations of tuberculosis infection would have distinct gene expression profiles, and that polymorphisms in these genes may also be associated with susceptibility to TB. We measured gene expression levels of >38,500 genes from ex vivo Mtb- stimulated macrophages in 12 subjects with 3 clinical phenotypes: latent, pulmonary and meningeal tuberculosis (n=4 per group). After identifying differentially expressed genes, we confirmed these results in 34 additional subjects by real-time PCR. We also used a case-control study design to examine whether polymorphisms in differentially regulated genes were associated with susceptibility to these different clinical forms of TB. We compared gene expression profiles in Mtb-stimulated and unstimulated macrophages and identified 1608 and 199 genes that were differentially expressed by >2 and >5-fold, respectively. Using cluster analysis, we identified gene expression patterns that distinguished the different clinical forms of tuberculosis. In an independent sample set of 34 individuals and a subset of highly regulated genes, 90% of the microarray results were confirmed by RT-PCR, including expression levels of CCL1, which distinguished the 3 clinical groups. Furthermore, 6 single nucleotide polymorphisms (SNPs) in CCL1 were found to be associated with TB in a case-control genetic association study with 273 TB cases and 188 controls. To our knowledge, this is the first identification of CCL1 as a gene involved in host susceptibility to TB and the first study to combine microarray and DNA polymorphism studies to identify genes associated with TB susceptibility. These results suggest that genome-wide studies can provide an unbiased method to identify critical macrophage response genes that are associated with different clinical outcomes and that variation in innate immune response genes regulate susceptibility to tuberculosis. Experiment Overall Design: Latent TB (LTB) subjects were healthy nursing staff members who had worked at a tuberculosis hospital, for more than 20 years and were positive in ESAT-6 and CFP-10- specific IFN-ï?§ ELISPOT assays. All subjects with pulmonary (PTB) and meningeal (TBM) disease had been treated and were free of symptoms at the time of venipuncture. Gene expression of monocyte derived macrophages (MDMs) from subjects with three clinical forms of TB including LTB, PTB and TBM (n = 4 in each group) was examined by microarray. MDMs were stimulated either with a whole cell lysate of M. tuberculosis H37Rv or PBS for 4 hours. RNA expression was analyzed using a Human Genome U133 Plus 2.0 Array (Affymetrix, USA) which contains probe sets for 47,000 transcripts including 38,500 well-characterized human genes.
Project description:Mycobacterium tuberculosis (Mtb) antigen-specific cellular response is promising for detectionof Mtb infection, but not efficient for diagnosis of TB. We firstly identified 16 TB disease-specific protein markers measured in the culture supernatant of Mtb-stimulated whole blood using a 640 human proteins array, the highest throughput antibody-based protein array available at the time when we did this study. Potential TB-related proteins were then analyzed across three different patient cohorts comprised of healthy controls, LTBI, non-TB pneumonia, and TB patients to evaluate how the biomarkers performed in diagnosing TB in the real clinical setting. The data finally reveal an eight-protein biosignature of TB.
Project description:Mycobacterium tuberculosis (Mtb) antigen-specific cellular response is promising for detectionof Mtb infection, but not efficient for diagnosis of TB. We firstly identified 16 TB disease-specific protein markers measured in the culture supernatant of Mtb-stimulated whole blood using a 640 human proteins array, the highest throughput antibody-based protein array available at the time when we did this study. Potential TB-related proteins were then analyzed across three different patient cohorts comprised of healthy controls, LTBI, non-TB pneumonia, and TB patients to evaluate how the biomarkers performed in diagnosing TB in the real clinical setting. The data finally reveal an eight-protein biosignature of TB.
Project description:Whole genome microarray expression profiling was employed to identify differential gene expression profiles characteristic of tuberculosis patients in the South-Indian cohort. Whole blood samples were extracted from tuberculosis patients at the time of diagnosis and from healthy controls. The experiment served to validate computational predictions from a meta-analysis study of host transcriptional profiles in tuberculosis.
Project description:Macrophage-inducible C-type lectin (Mincle, Clec4e) is a pathogen sensor that recognizes pathogenic fungi and Mycobactrium tuberculosis. We perfomed microarray analysis using peritoneal macrophages stimulated with TDM, a mycobacterial cell wall glycolipid that is known to be a Mincle ligand. Many chemokine and cytokine genes were upregulated in wildtype macrophages stimulated with TDM. Upregulation of these genes were completely abolishd in Mincle KO macrophages. Peritoneal macrophages from WT and Mincle KO mice were stimulated with TDM or vehicle for 24 h (3 samples each). Microarray analysis was performed using Affymetrix Mouse 430 2.0.
Project description:Macrophage-inducible C-type lectin (Mincle, Clec4e) is a pathogen sensor that recognizes pathogenic fungi and Mycobactrium tuberculosis. We perfomed microarray analysis using peritoneal macrophages stimulated with TDM, a mycobacterial cell wall glycolipid that is known to be a Mincle ligand. Many chemokine and cytokine genes were upregulated in wildtype macrophages stimulated with TDM. Upregulation of these genes were completely abolishd in Mincle KO macrophages.
Project description:Whole-genome expression profiling on a cohort of TB patients. Tuberculosis patients above 15 years of age were recruited from an outpatient tuberculosis clinic in central Jakarta (Indonesia). Randomly selected control subjects with the same sex and age (+/-10%) were recruited from neighboring households, with first degree relatives excluded. Total RNA obtained from human whole blood of TB patients longitudinally sampled along 3 time-points: during active infection, during treatment, and after completion of curative treatment
Project description:The Toll-like receptors (TLRs) recognize different pathogen associated molecular patterns (PAMPs) and promote MyD88 dependent and independent responses. Previously, we have reported the discovery of the temporal changes in signaling cascades of macrophage proteome and secretome post-stimulation with different PAMPs. Here we present strategies to profile the secretome of TLR2-, TLR4, and TLR7- stimulated macrophages using whole pathogens were developed. Stable isotope labeling with amino acids in cell culture of macrophages was integrated with whole pathogen macrophage stimulation and subsequent targeted proteomics to quantify cytokines, chemokines, and transcription factors.
Project description:Tuberculosis remains a major cause of death from an infectious disease worldwide, yet only 10% of people infected with Mycobacterium tuberculosis develop disease. Defining both necessary and sufficient immunologic determinants of protection remains a great scientific challenge. Analysis of peripheral blood gene expression profiles of active tuberculosis patients has identified correlates of risk for disease or pathogenesis. We sought to identify human potential candidate markers of host defense by studying gene expression profiles of macrophages, cells which, upon infection by M. tuberculosis, can mount an antimicrobial response. Weighted gene co-expression network analysis revealed an association between the cytokine, IL-32, and the vitamin D antimicrobial pathway in a network of IFN-γ and IL-15 induced ‘defense response’ genes. IL-32 was sufficient for induction of the vitamin D-dependent antimicrobial peptides, cathelicidin and DEFB4, and generation of antimicrobial activity in vitro, dependent on the presence of adequate 25-hydroxyvitamin D. The IL-15 induced ‘defense response’ macrophage gene network was integrated with ranked pairwise comparisons of gene expression from five different clinical data sets of latent vs. active tuberculosis or healthy controls, and a co-expression network derived from gene expression in patients with tuberculosis undergoing chemotherapy. Together, these analyses identified eight common genes, including IL-32, as molecular markers of latent tuberculosis and the IL-15 induced gene network. Inferring that maintaining M. tuberculosis in a latent state and preventing transition to active disease represents host resistance, we believe these results identify IL-32 as one functional marker and potential correlate of protection against active tuberculosis. Adherent peripheral blood monuclear cells were derived by Ficoll-Hypaque from the whole blood of four healthy donors. Cells adhered to tissue culture-treated plates for 2 h in 1% Fetal Bovine Serum (FBS) in RPMI. Cells were washed then stimulated with IL-10 (10ng/ml), IL-15 (10ng/ml) (R&D Systems), or IL-4 (1U/ml) in RPMI 1640 supplemented with 10% FBS at 37°C, 5% CO2. Cells were harvested at 6 h and 24 h after stimulation and monocytes purified by CD14 microbeads (Miltenyi Biotec) for a confirmed monocyte purity of at least 90%. RNA from purified monocytes extracted by Trizol and purified by Qiagen RNeasy Kit. RNA probe and microarray performed by UCLA Clinical Microarray Core using Ambion labeling kit and Affymetrix Human U133 Plus 2.0 array.