Exonuclease-mediated sRNA activation in competence regulation in a Gram-positive bacterium
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ABSTRACT:
PROVIDER: PRJNA607724 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10259100.fastq.gz | Fastqsanger.gz | |||
| SRR10259101.fastq.gz | Fastqsanger.gz | |||
| SRR10259102.fastq.gz | Fastqsanger.gz | |||
| SRR10259103.fastq.gz | Fastqsanger.gz | |||
| SRR10259082.fastq.gz | Fastqsanger.gz |
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Project description:RNA-protein interactions crucially underlie many steps of bacterial gene expression including post-transcriptional control by small regulatory RNAs (sRNAs). In stark contrast with recent progress in Gram-negative bacteria, knowledge about RNA and protein complexes in Gram-positive species remains scarce. Here, we used Grad-seq to draft a landscape of such complexes in Streptococcus pneumoniae, determining the sedimentation profiles of ~88% of the transcripts and ~62% of the proteins of this important human pathogen. Analysis of in-gradient distributions and subsequent tag-based protein capture identified interactions of the exoribonuclease Cbf1 (a.k.a. YhaM) with sRNAs that control bacterial competence. Contrary to expectation, the nucleolytic activity of Cbf1 stabilized these sRNAs, thereby promoting their function as repressors of competence. These results illustrate how this first RNA/protein complexome resource for a Gram-positive species can be utilized to identify new molecular factors in RNA-based regulation of pathways with relevance to bacterial virulence.
2021-01-27 | GSE138732 | GEO
Project description:A census of RNA/protein complexes in a model Gram-positive bacterium reveals exonuclease-mediated sRNA activation in competence regulation
| PRJNA576919 | ENA
Project description:RNA-protein interactions crucially underlie many steps of bacterial gene expression including post-transcriptional control by small regulatory RNAs (sRNAs). In stark contrast with recent progress in Gram-negative bacteria, knowledge about RNA and protein complexes in Gram-positive species remains scarce. Here, we used Grad-seq to draft a landscape of such complexes in Streptococcus pneumoniae, determining the sedimentation profiles of ~88% of the transcripts and ~62% of the proteins of this important human pathogen. Analysis of in-gradient distributions and subsequent tag-based protein capture identified interactions of the exoribonuclease Cbf1 (a.k.a. YhaM) with sRNAs that control bacterial competence. Contrary to expectation, the nucleolytic activity of Cbf1 stabilized these sRNAs, thereby promoting their function as repressors of competence. These results illustrate how this first RNA/protein complexome resource for a Gram-positive species can be utilized to identify new molecular factors in RNA-based regulation of pathways with relevance to bacterial virulence.
2020-03-20 | GSE145604 | GEO
Project description:Grad-seq in a Gram-positive bacterium reveals exonucleolytic sRNA activation in competence control
| PRJNA607729 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below.
2020-03-20 | GSE145605 | GEO
Project description:Objective: It is unclear whether the host response of gram-positive sepsis differs from gram-negative sepsis at a transcriptome level. Using microarray technology, we compared the gene-expression profiles of gram-positive sepsis and gram-negative sepsis in critically ill patients. Design: A prospective cross-sectional study. Setting: A 20-bed general intensive care unit of a tertiary referral hospital. Patients: Seventy-two patients admitted to the intensive care unit. Interventions: Intravenous blood was collected for leukocyte separation and RNA extraction. Microarray experiements were then performed examing the expression level of 19,232 genes in each sample. Measurements and Main Results: There was no difference in the expression profile between gram-positive and gram-negative sepsis. The finding remained unchanged even when genes with lower expression level were included or after statistical stringency was lowered. There were, however, ninety-four genes differentially expressed between sepsis and control patients. These genes included those involved in immune regulation, inflammation and mitochondrial function. Hierarchical cluster analysis confirmed that the difference in gene expression profile existed between sepsis and control patients, but not between gram-positive and gram-negative patients. Conclusion: Gram-positive and gram-negative sepsis share a common host response at a transcriptome level. These findings support the hypothesis that the septic response is non-specific and is designed to provide a more general response that can be elicited by a wide range of different micro-organisms. Keywords: disease state analysis, gram-positive sepsis, gram-negative sepsis
2007-12-01 | GSE6535 | GEO
Project description:Multiple companies produce RecJ exonuclease and RNA dependent DNA polymerase for making cDNA. Our standard protocol was developed based on the enzymes from Epicenter (epicenter was recently bought by the Illumina company). As an alternative for the enzymes from EPicenter, we tested the RecJ exonuclease from NEB and Superperscript II from Invitrogen in sRNA library construction using HD adapters [Sorefan et al 2012, Xu et al 2015].
2018-12-20 | GSE102509 | GEO
Project description:Objective: It is unclear whether the host response of gram-positive sepsis differs from gram-negative sepsis at a transcriptome level. Using microarray technology, we compared the gene-expression profiles of gram-positive sepsis and gram-negative sepsis in critically ill patients. Design: A prospective cross-sectional study. Setting: A 20-bed general intensive care unit of a tertiary referral hospital. Patients: Seventy-two patients admitted to the intensive care unit. Interventions: Intravenous blood was collected for leukocyte separation and RNA extraction. Microarray experiements were then performed examing the expression level of 19,232 genes in each sample. Measurements and Main Results: There was no difference in the expression profile between gram-positive and gram-negative sepsis. The finding remained unchanged even when genes with lower expression level were included or after statistical stringency was lowered. There were, however, ninety-four genes differentially expressed between sepsis and control patients. These genes included those involved in immune regulation, inflammation and mitochondrial function. Hierarchical cluster analysis confirmed that the difference in gene expression profile existed between sepsis and control patients, but not between gram-positive and gram-negative patients. Conclusion: Gram-positive and gram-negative sepsis share a common host response at a transcriptome level. These findings support the hypothesis that the septic response is non-specific and is designed to provide a more general response that can be elicited by a wide range of different micro-organisms. The study included seventy-two critically ill patients admitted to the intensive care unit (ICU) of Nepean Hospital, Sydney, Australia. Of these, fifty-five patients were diagnosed to have sepsis, as confirmed by microbiological culture. The remaining seventeen patients did not have sepsis and were therefore used as controls. The study was approved by the hospital ethics committee and informed consent was obtained from all patients or their relatives. Patient Samples. Whole blood was taken from each patient on admission to ICU. Neutrophils were separated from whole blood using density-gradient separation with Ficoll-PaqueP P(Amersham). Subsequent neutrophil RNA extraction was performed using guanidinium thiocyanate (Ambion). Microarray Experiment. The neutrophil RNA was converted to cDNA, fluorescently labeled and hybridized to its complimentary sequences on the microarray (Invitrogen). The fluorescent signals on each micrroarray were captured using the GenePix 4000B laser scanner (Axon Instruments). Expression level of each gene was represented by the intensity of its fluorescent signal. Data Extraction. All signal intensity values were processed using background-subtraction method. Prior to analysis, all values were log-transformed and normalized by fitting a print-tip group Lowess curve. Normalization minimizes bias due to dye chemistry, signal intensity or location of a gene on the array. It ensures the detection of genes that are truly differentially expressed, instead of those caused by experimental artifacts or variation in the hybridization process. After normalization, genes that had more than 50% of data missing were removed. We then selected genes that had at least 80% of the data showing two-fold changes from the geneâs median values. After filtering, 1617 genes were available for further analysis.
2010-05-25 | E-GEOD-6535 | biostudies-arrayexpress
Project description:We profiled the expression of circulating microRNAs (miRNAs) in mice exposed to gram-positive and gram-negative bacteria using Illumina small RNA deep sequencing. Recombinant-specific gram-negative pathogen Escherichia coli (Xen14) and gram-positive pathogen Staphylococcus aureus (Xen29) were used to induce bacterial infection in mice at a concentration of 1 × 108 bacteria/100 μL of phosphate buffered saline (PBS). Small RNA libraries generated from the serum of mice after exposure to PBS, Xen14, Xen29, and Xen14+Xen29 via the routes of subcutaneous injection (I), cut wound (C), or under grafted skin (S) were analyzed using an Illumina HiSeq2000 Sequencer. Following exposure to gram-negative bacteria alone, no differentially expressed miRNA was found in the injection, cut, or skin graft models. Exposure to mixed bacteria induced a similar expression pattern of the circulating miRNAs to that induced by gram-positive bacterial infection. Upon gram-positive bacterial infection, 9 miRNAs (mir-193b-3p, mir-133a-1-3p, mir-133a-2-3p, mir-133a-1-5p, mir-133b-3p, mir-434-3p, mir-127-3p, mir-676-3p, mir-215-5p) showed upregulation greater than 4-fold with a p-value < 0.01. Among them, mir-193b-3p, mir-133a-1-3p, and mir-133a-2-3p presented the most common miRNA targets expressed in the mice exposed to gram-positive bacterial infection.
2014-08-19 | GSE60492 | GEO
Project description:Signal intensities of BC-GP array for 105 speimens The Verigene Gram-Positive Blood Culture (BC-GP) nucleic acid assay is an automated microarray-based test, which can detect 12 Gram-positive bacterial genes and 3 resistance determinants using blood culture broths. We investigated signal intensities of microarray spots, and reclassified undetermined results where the automated system failed and various errors were called in blood culture specimens and spiked samples.
2014-05-30 | GSE57245 | GEO