A Grad-seq resource of RNA and protein complexes of Pseudomonas aeruginosa including transcripts of phage ΦKZ
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PROVIDER: PRJNA662513 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Grad-seq of Pseudomonas aerugionosa PAO1 at OD 0.3 with and without infection with ΦKZ bacteriophage
2021-01-06 | GSE157708 | GEO
Project description:Stable protein complexes, including those formed with RNA, are major building blocks of every living cell. Escherichia coli has been the leading organism with respect to global bacterial protein-protein networks. However, there has been no global census of RNA/protein complexes in this model species of microbiology. Here, we performed Grad-seq to establish an RNA/protein complexome, reconstructing sedimentation profiles in a glycerol gradient for ~85% of all E. coli transcripts and ~49% of the proteins. In presenting use cases for this resource to be exploited, we show that its stable association with 30S ribosomes gives the seemingly noncoding RNA RyeG of prophage origin away as an mRNA of a toxic small protein. Similarly, we show that the broadly conserved uncharacterized protein YggL is a 50S subunit factor in assembled 70S ribosomes. Overall, this study complements existing interactome resources for the primary model bacterium E. coli with valuable RNA/protein complexome information and should facilitate functional discovery in this and many related species.
2020-06-30 | GSE152974 | GEO
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:New methods for the global identification of RNA-protein interactions have led to greater recognition of the abundance and importance of RNA-binding proteins (RBPs) in bacteria. Here, we expand this tool kit by developing SEC-seq, a method based on a similar concept as the established Grad-seq approach. In Grad-seq, cellular RNA and protein complexes of a bacterium of interest are separated in a glycerol gradient, followed by high-throughput RNA-sequencing and mass spectrometry analyses of individual gradient fractions. New RNA-protein complexes are predicted based on the similarity of their elution profiles. In SEC-seq, we have replaced the glycerol gradient with separation by size exclusion chromatography, which shortens operation times and offers greater potential for automation. Applying SEC-seq to Escherichia coli, we find that the method provides a higher resolution than Grad-seq in the lower molecular weight range up to ~500 kDa. This is illustrated by the ability of SEC-seq to resolve two distinct, but similarly sized complexes of the global translational repressor CsrA with either of its antagonistic small RNAs, CsrB and CsrC. We also characterized changes in the SEC-seq profiles of the small RNA MicA upon deletion of its RNA chaperones Hfq and ProQ and investigated the redistribution of these two proteins upon RNase treatment. Overall, we demonstrate that SEC-seq is a tractable and reproducible method for the global profiling of bacterial RNA-protein complexes that offers the potential to discover yet-unrecognized associations between bacterial RNAs and proteins.
2022-10-27 | GSE212408 | GEO
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:Human Developmental Biology Resource (HDBR) expression resource-RNAseq
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Project description:The Human Developmental Biology Resource (HDBR) expression resource is a new resource for studying prenatal human brain development. It consists of two parts which have been uploaded as two submissions: HDBR expression resource- RNAseq (E-MTAB-4840, this submission) and HDBR expression resource- SNP data (E-MTAB-4843). It is unique in the age range (4 post conception weeks [PCW] to 17PCW) and number of brains studied, particularly those under 8PCW. It is also unique in that both the large-scale data sets and the corresponding RNA and DNA samples are available, the latter via the MRC-Wellcome Trust Human Developmental Biology Resource (HDBR; http://www.hdbr.org). There are 628 RNA-seq datasets from different regions of the brains studied. The number of regions depends on the stage and size of the sample and/or the tissue available. Embryos (4-8PCW) have been staged using a modified Carnegie staging system, details can be found at http://database.hudsen.eu/. All the RNAseq datasets from the same brain have the same embryo/fetus number (e.g. RNAseq datasets HDBR251-HDBR254 are from different tissues from embryo number 1406). The embryo/fetus ID number is recorded in the individual column. The majority of the brains studied are between 4 and 12PCW. During this time the major brain regions are established and there are the early stages of cortex development. DNA was prepared from all the tissues used for RNA-seq analysis and SNP genotype data generated from one tissue from each brain. RNA-seq data and SNP-data from the same tissue and brain have the same name (e.g. HDBR469). There are also SNP genotype data from 229 additional specimens in paraffin wax blocks available for individual gene expression studies. These data are in the accompanying HDBR expression resource- SNP data (E-MTAB-4843).
2016-10-12 | E-MTAB-4840 | biostudies-arrayexpress
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