Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Conditional Hfq association with small non-coding RNAs in Pseudomonas aeruginosa revealed through comparative UV crosslinking immunoprecipitation followed by high-throughput sequencing [RNA-Seq]

ABSTRACT: Conditional Hfq association with small non-coding RNAs in Pseudomonas aeruginosa revealed through comparative UV crosslinking immunoprecipitation followed by high-throughput sequencing [RNA-Seq]

PROVIDER: PRJNA561332 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10009728.fastq.gz	Fastqsanger.gz
	SRR10009729.fastq.gz	Fastqsanger.gz
	SRR10009730.fastq.gz	Fastqsanger.gz
	SRR10009731.fastq.gz	Fastqsanger.gz
	SRR10009732.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Conditional Hfq association with small non-coding RNAs in Pseudomonas aeruginosa revealed through comparative UV crosslinking immunoprecipitation followed by high-throughput sequencing [RNA-Seq]

Project description:Bacterial small non-coding RNAs (sRNAs) play post-transcriptional regulatory roles in cellular responses to changing environmental cues and in adaptation to harsh conditions. Generally, the RNA-binding protein Hfq helps sRNAs associate with target mRNAs to modulate their translation and to modify global RNA pools depending on physiological state. Here, a combination of in vivo UV crosslinking immunoprecipitation followed by high-throughput sequencing (CLIP-seq) and total RNA-seq showed that Hfq interacts with different regions of the P. aeruginosa transcriptome under planktonic versus biofilm conditions. In the present approach, P. aeruginosa Hfq preferentially interacted with repeats of the AAN triplet motif at mRNA 5’ UTRs and sRNAs, and U-rich sequences at rho-independent terminators. Further transcriptome analysis suggested that sRNAs association with Hfq is primarily a function of their expression levels, strongly supporting that the pool of Hfq-associated RNAs is equilibrated by RNA concentration-driven cycling on and off Hfq. Overall, our combinatorial CLIP-seq and total RNA-seq approach highlights conditional sRNA associations with Hfq as a novel aspect of post-transcriptional regulation in P. aeruginosa.

2019-11-15 | GSE136111 | GEO

Conditional Hfq association with small non-coding RNAs in Pseudomonas aeruginosa revealed through comparative UV crosslinking immunoprecipitation followed by high-throughput sequencing [RIP-Seq]

2019-11-15 | GSE136110 | GEO

Conditional Hfq association with small non-coding RNAs in Pseudomonas aeruginosa revealed through comparative UV crosslinking immunoprecipitation followed by high-throughput sequencing

Project description:Conditional Hfq association with small non-coding RNAs in Pseudomonas aeruginosa revealed through comparative UV crosslinking immunoprecipitation followed by high-throughput sequencing

| PRJNA561327 | ENA

Conditional Hfq association with small non-coding RNAs in Pseudomonas aeruginosa revealed through comparative UV crosslinking immunoprecipitation followed by high-throughput sequencing [RIP-Seq]

| PRJNA561330 | ENA

RNA co-immunoprecipitation with 3xFLAG::Hfq in Caulobacter crescentus

Project description:In this study we used RNA co-immunoprecipitation followed by RNA-sequencing to identify Hfq-binding RNAs in C. crescentus.

2022-12-31 | GSE148206 | GEO

UV-crosslinking and high throughput sequencing of cDNAs (CRAC) of the RNA chaperone Hfq in enterohaemorhaggic E. coli

2014-05-22 | GSE46118 | GEO

UV-crosslinking and high throughput sequencing of cDNAs (CRAC) of the RNA chaperone Hfq in enterohaemorhaggic E. coli

Project description:UV-crosslinking and high througput sequencing of cDNAs (CRAC) was used to map the binding sites Hfq in enterohaemorhaggic E. coli (EHEC). Hfq was tagged with a His-FLAG dual affintiy tag and UV crosslinked after growth in the MEM-HEPES media essentailly as per Granneman et al (2009) PNAS. We additionally crosslinked Hfq in non-pathogenic E. coli K12 str. MG1655 grown in LE media. Hfq-RNA complexes were purified and trimmed using RNase A/T1. RNA fragments were isolated and converted to cDNA, PCR amplified and sequenced using Illumina Solexa GAxII and HiSeq2000 platforms. His-FLAG tagged Hfq and untagged controls were cultured to an OD of 0.8 and crosslinked with UV-C. Five replicates of tagged EHEC Hfq and 2 replicates of untagged Hfq were crosslinked. We have additionally crosslinked 2 replicates each of E. coli K12 tagged and untagged Hfq.

2014-05-22 | E-GEOD-46118 | biostudies-arrayexpress

Identifying METTL5-bound RNA by crosslinking-assisted immunoprecipitation

Project description:To identify the substrates of METTL5, we used crosslinking-assisted immunoprecipitation of overexpressed, FLAG-METTL5 followed by high throughput sequencing.

2021-05-14 | GSE174435 | GEO

Global RNA recognition patterns of post‐transcriptional regulators Hfq and CsrA revealed by UV crosslinking in vivo

Project description:The molecular roles of many RNA‐binding proteins in bacterial post‐transcriptional gene regulation are not well understood. Approaches combining in vivo UV crosslinking with RNA deep sequencing (CLIP‐seq) have begun to revolutionize the transcriptome‐wide mapping of eukaryotic RNA‐binding protein target sites. We have applied CLIP‐seq to chart the target landscape of two major bacterial post‐transcriptional regulators, Hfq and CsrA, in the model pathogen Salmonella Typhimurium. By detecting binding sites at single‐nucleotide resolution, we identify RNA preferences and structural constraints of Hfq and CsrA during their interactions with hundreds of cellular transcripts. This reveals 3′‐located Rho‐independent terminators as a universal motif involved in Hfq–RNA interactions. Additionally, Hfq preferentially binds 5′ to sRNA‐target sites in mRNAs, and 3′ to seed sequences in sRNAs, reflecting a simple logic in how Hfq facilitates sRNA–mRNA interactions. Importantly, global knowledge of Hfq sites significantly improves sRNA‐target predictions. CsrA binds AUGGA sequences in apical loops and targets many Salmonella virulence mRNAs. Overall, our generic CLIP‐seq approach will bring new insights into post‐transcriptional gene regulation by RNA‐binding proteins in diverse bacterial species.

2016-05-25 | GSE74425 | GEO

AKAP12 UV RNA immunoprecipitation followed by high throughput sequencing

Project description:AKAP12 UV RNA immunoprecipitation followed by high throughput sequencing

| PRJNA1040162 | ENA