Lung transcriptome from M. avium infected WT, IFNg-/- and IRF1-/- mice
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE11809 | GEO | 2008/09/01
SECONDARY ACCESSION(S): PRJNA105897
REPOSITORIES: GEO
Similar Datasets
Project description:Mycobacterium avium infection in mice induces granuloma necrosis in the lung which is dependent on IFNg. IRF1 is a transcription factor activated by IFNg signaling. The effect of IFNg and IRF1 on immunopathology and transcriptional changes in the lung were analysed using gene-deficient mice. The data from the Ifng-/- experiment have been described (Aly et al. 2007. J Pathol 212:295). Experiment Overall Design: In two independent blocks of experiments, Ifng-/- and Irf1-/- mice on a C57Bl/6 background and their respective controls were infected with Mycobacterium avium via aerosol. After 14 weeks, mice were sacrificed and the lung RNA prepared using TriFast FL (Peqlab). Total RNA (1µg) was labeled and hybridized to Affymetrix mouse MOE430A 2.0 GeneChips according to the manufacturerâs recommendations. For each condition three biological replicates (except Ifng-/-, no infection) were used. Total of 23 Samples.
2008-10-25 | E-GEOD-11809 | biostudies-arrayexpress
Project description:Lung transcriptome from M. avium infected WT, IFNg-/- and IRF1-/- mice
| PRJNA105897 | ENA
Project description:Mycobacterium avium subspecies paratuberculosis (MAP) infection is established following the ingestion of bacteria, their penetration of the intestinal mucosa and subsequent events of the host-parasite interaction. These bacteria invade M cells, macrophages and are capable of resisting host defenses and multiply to reach very high numbers intracellular. Mycobactrium avium subsp. avium (MAA) is an antigenically and genetically similar organisms but is relatively nonpathogenic for cattle. MAA organisms appear to infect cattle, but unlike cattle infected with MAP, cattle infected with MAA typically mount an effective systemic immune response, form caseous granuloma, and eliminate the infection. This study was designed to understand the similarities and differences in the host responses during MAP and MAA infection. Neonatal calves were infected (ligated ileal loops) with PBS, MAP, or avirulent MAA following which samples were collected at 30 min, 1h, 2h, 4h, 8h, or 12h. Post-infection, RNA was collected, processed, and then hybridized to custom bovine gene expression arrays, each of which represented 13,258 transcripts spotted in duplicate. Arrays were normalized by scaling against the average reference intensity value (i.e., average across all arrays), normalized by global mean, and then log transformed before statistical analyses were performed. Pairwise comparisons of averaged signal values and Student’s t test were performed using GeneSifter software (VizX Labs, Seattle, WA). A fold-change of at least 1.5-fold and a p value of 0.05 or less was required for a difference in signal to be considered statistically significant. When comparing the transcriptional responses of calves infected with the MAA versus MAP, unique patterns of expression were clearly visible. In general, numbers of transcripts altered in response to infection were much greater for MAA-infected animals than for those infected with the MAP. No genes were significantly up-regulated in MAP-infected animals at the earliest time point tested (30 min), and only modest numbers of genes were increased in expression over the experimental time course. On the other hand, up-regulated transcripts were detected by 30 min in MAA-infected animals and peaked by 2 hr. Differences in the numbers of down-regulated genes between MAP-infected and MAA-infected animals (compared to PBS-infected controls) were less pronounced. At the earliest time points, MAP-infected calves had a greater number of down-regulated genes than did animals infected with MAA. This trend was reversed at 8 and 12 hr post-infection. Keywords: Gene expression profiling by microarray
2012-10-03 | GSE13888 | GEO
Project description:Mycobacterium avium subspecies paratuberculosis (MAP) infection is established following the ingestion of bacteria, their penetration of the intestinal mucosa and subsequent events of the host-parasite interaction. These bacteria invade M cells, macrophages and are capable of resisting host defenses and multiply to reach very high numbers intracellular. Mycobactrium avium subsp. avium (MAA) is an antigenically and genetically similar organisms but is relatively nonpathogenic for cattle. MAA organisms appear to infect cattle, but unlike cattle infected with MAP, cattle infected with MAA typically mount an effective systemic immune response, form caseous granuloma, and eliminate the infection. This study was designed to understand the similarities and differences in the host responses during MAP and MAA infection. Neonatal calves were infected (ligated ileal loops) with PBS, MAP, or avirulent MAA following which samples were collected at 30 min, 1h, 2h, 4h, 8h, or 12h. Post-infection, RNA was collected, processed, and then hybridized to custom bovine gene expression arrays, each of which represented 13,258 transcripts spotted in duplicate. Arrays were normalized by scaling against the average reference intensity value (i.e., average across all arrays), normalized by global mean, and then log transformed before statistical analyses were performed. Pairwise comparisons of averaged signal values and StudentM-bM-^@M-^Ys t test were performed using GeneSifter software (VizX Labs, Seattle, WA). A fold-change of at least 1.5-fold and a p value of 0.05 or less was required for a difference in signal to be considered statistically significant. When comparing the transcriptional responses of calves infected with the MAA versus MAP, unique patterns of expression were clearly visible. In general, numbers of transcripts altered in response to infection were much greater for MAA-infected animals than for those infected with the MAP. No genes were significantly up-regulated in MAP-infected animals at the earliest time point tested (30 min), and only modest numbers of genes were increased in expression over the experimental time course. On the other hand, up-regulated transcripts were detected by 30 min in MAA-infected animals and peaked by 2 hr. Differences in the numbers of down-regulated genes between MAP-infected and MAA-infected animals (compared to PBS-infected controls) were less pronounced. At the earliest time points, MAP-infected calves had a greater number of down-regulated genes than did animals infected with MAA. This trend was reversed at 8 and 12 hr post-infection. Keywords: Gene expression profiling by microarray Microarrays were used to examine the transcriptional profiles of bovine intestinal mucosa inoculated with PBS, MAP or MAA and across six time points (30 min, 1, 2, 4, 8, and 12 hours). Experiments were performed in quadruplicate for PBS, MAP, and MAA (bovine ligated ileal loops surgeries were performed with four calves). For one surgery, MAA was used for 4 time ponts only, thus generateing a total of 70 arrays.
2012-10-03 | E-GEOD-13888 | biostudies-arrayexpress
Project description:This experiment was designed to identify IFNg-regulated, IRF1-dependent genes during infection with the intracellular pathogen Shigella flexneri. WT and Irf1-/- MEFs were stimulated for 18 hours with IFNg or left unstimulated; all of the cells were subsequently infected for 6 hours with S. flexneri prior to harvest of total RNA.
2011-09-01 | E-MTAB-713 | biostudies-arrayexpress
Project description:Once entering the cell, M. avium subsp.paratuberculosis is known to survive harsh microenvironments, especially those inside activated macrophages. To improve our understanding of M. avium subsp.paratuberculosis pathogenesis, we examined the phagosome maturation associated with transcriptional responses of M. avium subsp.paratuberculosis during macrophage infection. Monitoring cellular markers, only live M. avium subsp.paratuberculosis bacilli were able to prevent phagosome maturation and reduce its acidification. On the transcriptional level, over 300 of M. avium subsp.paratuberculosis genes were significantly, differentially regulated in both naïve and IFN-γ-activated macrophages. These genes include the sigma factor H (sigH) that was shown to be important during persistent infection in M. tuberculosis.
2013-01-22 | GSE43645 | GEO
Project description:We focused on how Mycobacterium avium subsp. paratuberculosis influences the subsequent host response to investigate the host immunopathology accompanying the host anti-mycobacterial immune response during Mycobacterium avium subsp. paratuberculosis infection in spleen of mice.
2014-10-31 | GSE62836 | GEO
Project description:We focused on how Mycobacterium avium subsp. paratuberculosis influences the subsequent host response to investigate the host immunopathology accompanying the host anti-mycobacterial immune response during Mycobacterium avium subsp. paratuberculosis infection in spleen of mice. We analyzed altered transcription in the spleen of mice at 3, 6, and 12 weeks following Mycobacterium avium subsp. paratuberculosis infection.
2014-10-31 | E-GEOD-62836 | biostudies-arrayexpress
Project description:Deep sequencing was implemented to study the transcriptional landscape of Mycobacterium avium TMC724. High-resolution transcriptome analysis identified the transcription start points for 652 genes. One third of these coincided with the start codons and therefore belong to leaderless transcripts, whereas the rest of the transcripts had 5' UTRs with the mean length of 83 nt. In addition, the 5' UTRs of 6 genes contained SAM-IV and Ykok types of riboswitches. 87 antisense RNAs and 9 intergenic small RNAs were mapped. Four of the revealed intergenic small RNAs, including igMAV_1034-1035 expressed at a very high level, have no homologs in M. tuberculosis, whilst M. avium lacks several intergenic sRNAs present in M. tuberculosis. Among those, MTS479 and MTS1338 are of special interest due to their possible implication in pathogenesis. Elucidation of differences in the repertoire of intergenic sRNAs between the two mycobacterial species may improve our understanding of mycobacterial diseases pathogenesis. Transcriptional profile of Mycobacterium avium TMC724, grown at 37M-BM-0C in Dubos broth until mid-logarithmic growth phase
2013-04-23 | E-GEOD-46281 | biostudies-arrayexpress
Project description:Mycobacterium avium is one of the prominent disease causing bacteria in humans. It causes lymphadenitis, chronic pulmonary and extrapulmonary and disseminated infections in adults, children and immunocompromised humans. M. avium has ~4,500 predicted gene models, out of which not all are identified at proteomic level. Proteomic database search followed by proteogenomic analysis helps in the correction of gene models, identification of novel exons/genes, variant proteins. As part of this study, we performed proteomic analysis of M. avium cultures by data-dependent acquisition (DDA) and data-independent acquisition (DIA) method followed by proteogenomic analysis of M. avium proteomic data. M. avium culture was subjected to proteomic sample preparation. The resulting peptides were acquired in 120min DDA (12 bRPLC) and DIA method using EASY nLC 1200 liquid chromatogram system coupled to Orbitrap Fusion Tribrid mass spectrometer. The resulting DDA raw files were searched sequentially against the M. avium proteome database, Mycobacterium tuberculosis H37Rv and Ra proteome database (Mtb), M. avium genome six-frame translated proteome and variant proteins database, respectively. The database search result was converted into a spectral library and used for DIA data search for the validation of GSSPs and variant peptides. The database search of M. avium DDA has resulted in the identification of 2,954 M. avium proteins, 128 Mtb proteins, 174 GSSPs (M. avium genome six-frame translated proteome) and 795 SNPs corresponding to 612 proteins (variant proteins database), respectively. The M. avium proteome database search has covered 62.09% of the proteome with the identification of 2,954 proteins out of 4,757 proteins in the database. From the manual categorization of 174 GSSPs, we observed 23 N-terminal extensions, 142 pseudogene coding peptides and one each novel exon and short peptide, respectively.
2023-03-17 | PXD032067 | Pride