Dataset Information

Transcriptome mapping and Hfq RIP-seq of Neisseria meningitidis

ABSTRACT: Neisseria meningitidis is a human commensal that occasionally causes life-threatening infections such as bacterial meningitis and septicemia. Despite experimental evidence that gene regulation as well as the expression of small non-coding RNAs (sRNAs) affect meningococcal virulence, the organization of its transcriptome, including in particular the biogenesis of sRNAs and their mode of action, is only poorly understood. Here, we addressed these issues using a combination of high-throughput technologies. We applied differential RNA-seq (dRNA-seq) to produce a single-nucleotide resolution map of the primary transcriptome of N. meningitidis strain 8103. Our dRNA-seq analysis predicted 1,625 transcriptional start sites (TSS) including 65 non-coding RNA transcripts, of which 20 were further validated by Northern analysis. This allowed for the discovery of a novel CRISPR-associated sRNA with a Cas9-independent biogenesis. Genome-wide mapping of σ 70-dependent and independent promoters revealed that classical Escherichia coli-like σ70 promoter are absent in most of the protein coding genes in meningococci. The majority of the 706 primary TSSs (pTSSs) were associated with coding sequences, including 382 pTSS obtained for single genes and 240 pTSSs obtained for genes located in operons. By Hfq RNA immunoprecipitation sequencing (RIP-seq) we identified a large Hfq-centered post-transcriptional regulatory network comprising 24 sRNAs and 407 potential mRNA targets, and rifampicin stability assays demonstrated that Hfq binding confers enhanced stability on sRNAs. We finally confirmed the interactions of two sRNAs and their cognate target mRNA in vivo. Both directly repress prpB encoding a methylisocitrate lyse which was previously shown to be involved in meningococcal colonization of the human nasopharynx.The combination of both high-throughput approaches thus creates a compendium that not only provides a valuable data resource, but also allows for a better understanding of meningococcal transcriptome organization and riboregulation with implications for colonization of the human nasopharynx.

ORGANISM(S): Neisseria meningitidis 8013

PROVIDER: GSE85252 | GEO | 2017/03/21

SECONDARY ACCESSION(S): PRJNA337954

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Biological interpretation of gene expression data may differ depending on underlying assumptions and statistical tests used by the chosen bioinformatic tool. We used Gene Set Enrichment Analysis (GSEA) and Ingenuity Pathway Analysis (IPA) to analyze previously generated gene expression profiles induced in human monocytes by N. meningitidis and IL-10 (“the model system”), and by meningococcal sepsis plasma before and after immunodepletion of IL-10 (“the patient plasma system”). The objectives were to compare whether these two methods resulted in similar biological interpretation of the datasets; and identify whether GSEA provided additional insight about the human monocyte host response to meningococcal activation. Results: In both experimental models, GSEA and IPA associated genes induced in monocytes by N. meningitidis with pro-inflammatory innate immune activation, including TNF-signaling, Toll-like receptor signaling, JAK-STAT-signaling, type I and type II interferon. GSEA associated genes regulated by the presence of IL-10 with similar gene sets in both the model system and the patient plasma system. In the model system, GSEA and IPA identified 170 genes associated with oxidative phosphorylation/mitochondrial function to be down-regulated in monocytes stimulated with meningococci. In the patient plasma system, GSEA and IPA combined identified 122 genes associated with oxidative phosphorylation/mitochondrial dysfunction to be down-regulated by meningococcal sepsis plasma depleted for IL-10. Combining analyses from GSEA and IPA identified that some genes associated with oxidative phosphorylation/mitochondrial function that were inhibited by N. meningitidis were partially up-regulated by IL-10. Conclusions: Biological processes associated with the gene expression changes in the model system of meningococcal sepsis was comparable to the results found in the patient plasma system. By combining GSEA with IPA, we have discovered an inhibitory effect exerted by N. meningitidis on genes associated with oxidative phosphorylation, and that IL-10 possibly partially dampen this strong inhibitory effect, thereby identifying, to our knowledge, yet another area where IL-10 regulates the effect of LPS. We suggest that relying on a single bioinformatic tool together with arbitrarily chosen filtering criteria for data analysis may result in overlooking relevant biological processes and signaling pathways associated with genes differentially expressed between compared experimental conditions.

Dataset Information

Transcriptome mapping and Hfq RIP-seq of Neisseria meningitidis

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets