Dynamic transcriptome profiling of mouse spleen infected with extraintestinal pathogenic Escherichia coli
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE140637 | GEO | 2022/11/11
REPOSITORIES: GEO
Similar Datasets
Project description:To investigate the effects of ceftriaxone and cranberry pomace extract on transcriptome of extraintestinal E. coli (ExPEC)
2023-06-01 | GSE205240 | GEO
Project description:In Escherichia coli, the highly conserved enzymes MiaA and MiaB mediate the sequential prenylation and methylthiolation of adenosine-37 within tRNAs that decode UNN codons. We found that MiaA, but not MiaB, is critical to the fitness and virulence of extraintestinal pathogenic E. coli (ExPEC), a major cause of urinary tract and bloodstream infections. Deletion of miaA has pleiotropic effects, attenuating bacterial fitness and virulence within diverse host environments and rendering ExPEC especially sensitive to stressors like nitrogen and oxygen radicals and osmotic shock. We find that stress can stimulate striking changes in miaA expression. To assess how changing MiaA levels affect the pathogen proteome, we used MS to analyze the proteins express by the reference ExPEC isolate UTI89 and derivatives that either lack or overexpress MiaA.
2022-02-14 | PXD024782 | Pride
Project description:Untreated or 20 J/m2 UVC treated RKO cells were collected and RNA from either whole-cell lysates or from polysomal fractions was extracted at 0 (untreated), 3, 6, and 12 h after treatment. RNA from whole-cell lysates or each of 11 polysomal fraction was reverse-transcribed in the presence of [α-33P]dCTP and the radiolabeled product used to hybridize human cDNA arrays. The experiment was repeated using three independent sample sets. The samples were named T-c-A, T-c-B, T-c-C, T-3h-A, T-3h-B, T-3h-C, T-6h-A, T-6h-B, T-6h-C, T-12h-A, T-12h-B, T-12h-C, P-c-1-A, P-c-2-A, P-c-3-A, P-c-4-A, P-c-5-A, P-c-6-A, P-c-7-A, P-c-8-A, P-c-9-A, P-c-10-A, P-c-11-A, P-c-1-B, P-c-2-B, P-c-3-B, P-c-4-B, P-c-5-B, P-c-6-B, P-c-7-B, P-c-8-B, P-c-9-B, P-c-10-B, P-c-11-B, P-c-2-C, P-c-3-C, P-c-4-C, P-c-5-C, P-c-6-C, P-c-7-C, P-c-8-C, P-c-9-C, P-c-10-C, P-c-11-C, P-3h-1-A, P-3h-2-A, P-3h-3-A, P-3h-4-A, P-3h-5-A, P-3h-6-A, P-3h-7-A, P-3h-8-A, P-3h-9-A, P-3h-10-A, P-3h-11-A, P-3h-1-B, P-3h-2-B, P-3h-3-B, P-3h-4-B, P-3h-5-B, P-3h-6-B, P-3h-7-B, P-3h-8-B, P-3h-9-B, P-3h-10-B, P-3h-11-B, P-3h-1-C, P-3h-2-C, P-3h-3-C, P-3h-4-C, P-3h-6-C, P-3h-7-C, P-3h-8-C, P-3h-9-C, P-3h-10-C, P-3h-11-C, P-6h-1-A, P-6h-2-A, P-6h-3-A, P-6h-4-A, P-6h-5-A, P-6h-6-A, P-6h-7-A, P-6h-8-A, P-6h-9-A, P-6h-10-A, P-6h-11-A, P-6h-1-B, P-6h-2-B, P-6h-3-B, P-6h-4-B, P-6h-5-B, P-6h-6-B, P-6h-7-B, P-6h-8-B, P-6h-9-B, P-6h-10-B, P-6h-11-B, P-6h-1-C, P-6h-2-C, P-6h-3-C, P-6h-4-C, P-6h-5-C, P-6h-6-C, P-6h-7-C, P-6h-8-C, P-6h-9-C, P-6h-10-C, P-6h-11-C, P-12h-1-A, P-12h-2-A, P-12h-3-A, P-12h-4-A, P-12h-5-A, P-12h-6-A, P-12h-7-A, P-12h-8-A, P-12h-9-A, P-12h-10-A, P-12h-11-A, P-12h-1-B, P-12h-2-B, P-12h-3-B, P-12h-4-B, P-12h-5-B, P-12h-6-B, P-12h-7-B, P-12h-8-B, P-12h-9-B, P-12h-10-B, P-12h-11-B, P-12h-1-C, P-12h-2-C, P-12h-3-C, P-12h-6-C, P-12h-7-C, P-12h-8-C, P-12h-9-C, P-12h-10-C, P-12h-11-C. ‘T’ represents total RNA, ‘P’ represents RNA from polysomes fractions, ‘c’ represents RNA from untreated cells, ‘3h’ represents RNA from cells collected 3 h after UVC treatment, ‘6h’ represents RNA from cells collected 6 h after UVC treatment, ‘12h’ represents RNA from cells collected 12 h after UVC treatment. The numbers 1-11 correspond to the each polysomal fraction. The letters A, B and C correspond to the three independent experimental datasets. Keywords = post-transcriptional / translation / nascent protein synthesis / stress response / ribonomics Keywords: ordered
2004-06-02 | GSE1440 | GEO
Project description:Small non-coding RNA (sRNA) molecules can modulate diverse bacterial functions ranging from carbon metabolism to virulence gene expression. Here, we used a series of deletion strains to probe a panel of seven conserved sRNAs (DsrA, RprA, OxyS, RyhB, MicF, MicC, and Spot 42) of Extraintestinal Pathogenic Escherichia coli (ExPEC) isolate UTI89 for effects on the response to oxidative stress. ExPEC strains are the primary etiologic agents of urinary tract infections, which consistently rank among the most common infectious diseases and are a leading cause of sepsis. In broth culture, each sRNA deletion knockout grew like the wild-type strain, whereas the spot42 (spf) and micC knockout strains were both markedly impaired in their ability to deal with oxidative stress generated by methyl viologen. UTI89ΔmicC had several additional in vitro and in vivo phenotypes important for pathogenesis. in vitro, the micC knockout had impaired motility, reduced association with and survival within bladder epithelial cells (BECs), and reduced resistance to human serum. in vivo, the micC knockout was defective in its ability to colonize and persist in the mouse urinary tract, gastrointestinal tract, and bloodstream. RNA sequencing of UTI89ΔmicC as well as micC overexpressed using an inducible plasmid revealed differential expression of many genes, especially within metabolism and motility pathways. Notably, expression of the maltose transport operon malEFG was significantly reduced in UTI89ΔmicC, as was expression of the structural flagellar genes flgC and flgE. ompC, the only known target of MicC, did not have increased expression in the deletion, but did have significantly decreased expression in the micC overexpression strain. Here, we demonstrate that the conserved ExPEC sRNA MicC serves as a critical regulator of both stress resistance and virulence in a mammalian host, extending further the enigmatic functions of this bacterial sRNA.
2026-07-13 | GSE337028 | GEO
Project description:Gene expression profiles of human immature dendritic cells after 3h, 6h, 9h and 12h of co-cultivation with Aspergillus fumigatus were compared to expression profiles from human immature dendritic cells after 3h, 6h, 9h and 12h of cultivation.
2011-03-29 | GSE21353 | GEO
Project description:Extraintestinal pathogenic Escherichia coli (ExPEC) have a capacity to cause serious infections of blood, the central nervous system and particularly the urinary tract. Relatively little is known about how ExPEC adapt their cell-wide protein expression to environments with different carbon sources and other required nutrients. We used label-free quantitative (LFQ) proteomic analysis to determine proteomes of five ExPEC strains purified from clinical blood cultures, and compared them with proteomes of reference uropathogenic E. coli strain 536 derived from blood culture and two chemically different solid media. We identified 2,883 proteins in total, and for 90% of the detected proteins described their relative quantitative levels based on LFQ intensity scores. Comparison of anaerobic and aerobic blood cultures revealed significant differences in the levels of 32 proteins out of 1854 shared proteins. A majority of these proteins was associated with acquisition and utilization of metal ions, which are critical either for anaerobic (nickel) or aerobic (iron) respiration. ANOVA analysis of the relative quantitative levels of 1758 proteins shared between the strains identified 47 differentially expressed proteins, including proteins involved in vitamin B6 metabolism, cell motility and virulence. Comparison of strain 536 proteomes derived from blood cultures and solid media showed substantial variation in the relative quantitative levels of 200 proteins, which represented 11% of the common proteins between the conditions. Blood culture condition was characteristic by upregulation of anaerobic fermentative metabolism, cell motility and iron utilization. In a response to the growth on solid media increased levels of proteins functional in aerobic respiration, catabolism of various biochemicals obtained from the media and protection against environmental stresses. The study presents the largest coverage of ExPEC/UPEC proteome to date,with a detail account of ExPEC metabolism under three chemically different environments.
2016-07-04 | PXD002912 | Pride
Project description:Purpose: This study is to more comprehensively understand the genome-wide host response to avian pathogen E. coli (APEC). Methods: Four-week-old male broiler chickens were infected with APEC O1 or given saline as a control. Bursas were collected at 1 and 5 days post-infection (dpi). Infected birds were classified based upon lesions in liver, pericardium and air sacs as having mild or severe pathology, representing resistant and susceptible phenotypes, respectively. Twenty-two individual bursa RNA libraries were sequenced, each yielding an average of 27 million single-end, 100-bp reads. Results: There were 2469 novel genes in a total of 16,603 detected. Large numbers of significantly differentially expressed (DE) genes were enriched in susceptible versus resistant birds and in susceptible versus non-infected birds at 5 dpi, as well as in 5 dpi versus 1 dpi susceptible birds. The DE genes represented signal transduction, immune response, and cell growth and death pathways. Conclusions: These data provide considerable insight into potential mechanisms of resistance to ExPEC infection, thus paving the way to develop strategies for ExPEC prevention and treatment, as well as enhancing innate resistance by genetic selection in animals.
2017-02-09 | GSE70334 | GEO
Project description:Brain transcriptome at 0h, 1h, 3h, 6h, 12h, 24h, 48h after hypoxia stress
2015-04-17 | GSE57608 | GEO
Project description:This study was aimed to do genome-wide identification of fitness factors of ExPEC using an mouse infection model. A transposon (Tn) mutagenesis library (input) containing insertions of 72% of the total chromomose encoded genes was used to infect mouse. Bacteria were then recovered from the brain, lung, and spleen (output libraries) at 12 hours post infection. The genomic DNA was extracted from the input and the output libraries. The genomic fragment flanking the transposon was enriched by PCR which was then sequenced by Illumina sequencing. The insertion sites were then mapped to the genome of ExPEC PCN033 strain to identify differentially depleted genes which are genes potentially involved in fitness during infection.
2022-04-30 | GSE197084 | GEO
Project description:Untreated or 20 J/m2 UVC treated RKO cells were collected and RNA from either whole-cell lysates or from polysomal fractions was extracted at 0 (untreated), 3, 6, and 12 h after treatment. RNA from whole-cell lysates or each of 11 polysomal fraction was reverse-transcribed in the presence of [α-33P]dCTP and the radiolabeled product used to hybridize human cDNA arrays. The experiment was repeated using three independent sample sets. The samples were named T-c-A, T-c-B, T-c-C, T-3h-A, T-3h-B, T-3h-C, T-6h-A, T-6h-B, T-6h-C, T-12h-A, T-12h-B, T-12h-C, P-c-1-A, P-c-2-A, P-c-3-A, P-c-4-A, P-c-5-A, P-c-6-A, P-c-7-A, P-c-8-A, P-c-9-A, P-c-10-A, P-c-11-A, P-c-1-B, P-c-2-B, P-c-3-B, P-c-4-B, P-c-5-B, P-c-6-B, P-c-7-B, P-c-8-B, P-c-9-B, P-c-10-B, P-c-11-B, P-c-2-C, P-c-3-C, P-c-4-C, P-c-5-C, P-c-6-C, P-c-7-C, P-c-8-C, P-c-9-C, P-c-10-C, P-c-11-C, P-3h-1-A, P-3h-2-A, P-3h-3-A, P-3h-4-A, P-3h-5-A, P-3h-6-A, P-3h-7-A, P-3h-8-A, P-3h-9-A, P-3h-10-A, P-3h-11-A, P-3h-1-B, P-3h-2-B, P-3h-3-B, P-3h-4-B, P-3h-5-B, P-3h-6-B, P-3h-7-B, P-3h-8-B, P-3h-9-B, P-3h-10-B, P-3h-11-B, P-3h-1-C, P-3h-2-C, P-3h-3-C, P-3h-4-C, P-3h-6-C, P-3h-7-C, P-3h-8-C, P-3h-9-C, P-3h-10-C, P-3h-11-C, P-6h-1-A, P-6h-2-A, P-6h-3-A, P-6h-4-A, P-6h-5-A, P-6h-6-A, P-6h-7-A, P-6h-8-A, P-6h-9-A, P-6h-10-A, P-6h-11-A, P-6h-1-B, P-6h-2-B, P-6h-3-B, P-6h-4-B, P-6h-5-B, P-6h-6-B, P-6h-7-B, P-6h-8-B, P-6h-9-B, P-6h-10-B, P-6h-11-B, P-6h-1-C, P-6h-2-C, P-6h-3-C, P-6h-4-C, P-6h-5-C, P-6h-6-C, P-6h-7-C, P-6h-8-C, P-6h-9-C, P-6h-10-C, P-6h-11-C, P-12h-1-A, P-12h-2-A, P-12h-3-A, P-12h-4-A, P-12h-5-A, P-12h-6-A, P-12h-7-A, P-12h-8-A, P-12h-9-A, P-12h-10-A, P-12h-11-A, P-12h-1-B, P-12h-2-B, P-12h-3-B, P-12h-4-B, P-12h-5-B, P-12h-6-B, P-12h-7-B, P-12h-8-B, P-12h-9-B, P-12h-10-B, P-12h-11-B, P-12h-1-C, P-12h-2-C, P-12h-3-C, P-12h-6-C, P-12h-7-C, P-12h-8-C, P-12h-9-C, P-12h-10-C, P-12h-11-C. âTâ represents total RNA, âPâ represents RNA from polysomes fractions, âcâ represents RNA from untreated cells, â3hâ represents RNA from cells collected 3 h after UVC treatment, â6hâ represents RNA from cells collected 6 h after UVC treatment, â12hâ represents RNA from cells collected 12 h after UVC treatment. The numbers 1-11 correspond to the each polysomal fraction. The letters A, B and C correspond to the three independent experimental datasets. Keywords = post-transcriptional / translation / nascent protein synthesis / stress response / ribonomics Keywords: ordered
2010-06-09 | E-GEOD-1440 | biostudies-arrayexpress