Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of target genes differentially expressed after pulse expression of Neisseria gonorrhoeae sRNAs

ABSTRACT: Purpose: The goal of this study was the identification of target genes of the Neisseria gonorrhoeae sRNAs NgncR_237, NgncR_162 and NgncR_163. Methods: RNA was isolated from N. gonorrhoeae using the miRNeasy Micro Kit (Qiagen). Enrichment of mRNA was done using the Universal Ribodepletion Kit followed by Next Ultra Directional Library Preparation Kit for Illumina (NEB). The cDNA was sequenced on Illumina HiSeq 3000 platform with 100 bp paired end reads. Adapters from Fastq sequences were removed using cutadapt version 1.2.1. Only reads exceeding a mean base quality 5 within all sliding windows of 5 bp were mapped to the genome of strain N. gonorrhoeae MS11 (reference genome ASM15685v2). Annotation of non-coding RNAs was according to Remmele et al.(2014). Read mapping was conducted using Bowtie2 v2.1.0. DeSEQ2 version 1.6.2 was used to identify differentially regulated transcripts. Results: N. gonorrhoeae genes were identified which were upregulated or downregulated upon induced expression of sRNAs NgncR_237, NgncR_162 and NgncR_163. Conclusions: sRNA NgncR_237, NgncR_162 and NgncR_163 are involved in the regulation of genes involved in type IV pilus biogenesis, energy metabolism and transport processes.

ORGANISM(S): Neisseria gonorrhoeae

PROVIDER: GSE177032 | GEO | 2021/07/28

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Prediction of Non-Coding sRNAs and Screening of Virulence-Related sRNAs of Salmonella Pullorum

Project description:Purpose: Searching for sRNAs in Salmonella pullorum by RNA sequencing and exploring their functions.Methods: High-throughput sequencing of RNA extracted from Salmonella pullorum under normal growth conditions to detect newly discovered sRNAs, followed by experiments to verify their functions.Results: The proportion of Clean Reads of this sequencing was >65%, and the base Q30s were all above 85%, indicating that the sequencing quality is good and can be used for subsequent analysis. The sRNAscanner software predicted that 148 new sRNAs might exist on the reference genome of Salmonella fowl dysentery, and the reads obtained from sequencing were compared to the genome, and it was found that 110 out of the 148 newly predicted sRNAs could be detected.Conclusions: sRNAs are widely found in bacteria and are involved in many physiological processes. In this study, we detected new sRNAs in Salmonella pullorum by RNA-seq, which lays the foundation for the subsequent investigation of the regulatory functions of sRNAs in bacteria.

2024-06-10 | GSE269156 | GEO

Transcriptome profiling of human glioma and normal brain tissues by rRNA-deleted total RNAseq

Project description:Purpose: To compare the coding and non-coding transcriptomic changes in human gliomas compared with normal brain tissues. Methods: Biopsies were collected from 85 adult glioblastomas, 18 lower grade gliomas, and 15 normal brain tissues. Total RNA was isolated using the Qiagen RNeasy Mini kit or Trizol reagent according to the manufacturer's instruction. Stranded, rRNA-deleted libraries were prepared using the Illumina stranded Total RNA TruSEQ kit according to the manufacturer's instruction. Sequencing was performed on Illumina HiSeq 4000 instrument according to the manufacturer instructions. Reads were aligned to the human genome GRCh38 using HISAT2 (Version 2.1.0). Read counts for each gene were quantified using HTSeq-count (Version 0.10.0) and then normalized by DESeq2 (r package, version 1.20.0). Results: Approximately 20 million paired-end reads at the length of 50 bp were obtained from each sample. The genome mapping efficiency was 85% on average for all samples. Altered expression of 6,132 protein-coding genes and 1,270 lncRNAs were identified. Conclusions:We report the coding and non-coding transcriptomic changes in human gliomas compared with normal brain tissues.

2021-01-26 | GSE147352 | GEO

Identification of a novel LysR-type transcriptional regulator in Staphylococcus aureus that is crucial for secondary tissue colonization during metastatic bloodstream infection

Project description:Purpose: The goal of this study was to identify Staphylococcus aureus genes which are important during establishment of metastatic infections in bloodstream infections. Methods: Pooled mariner transposon mutant libraries were generated as previously described (PMID: 27185949). The libraries were sequenced on the Illumina HiSeq 2500 platform with the transposon-specific oligonucleotide primer Himar1-Seq. Illumina adapter sequences were removed via cutadapt version 1.2.1. The reads were filtered for size (>16 bp) and to contain the signature transposon inverted repeat. Reads were mapped to the Staphylococcus aureus 6850 genome (RefSeq accession NC_022222.1) by Bowtie2 v2.1.0. Identification of depleted and enriched mutants was performed via DESeq2 version 1.6.2. Results: S. aureus genes were identified which were upregulated or downregulated upon iduced expression of the LysR-type transcriptional regulator RSAU_000852 in Staphylococcus aureus 6850. Conclusions: Our study identifies a gene for a LysR-type transcription regulator, which is involved in metabolic adaptation of the pathogen during colonization of secondary infection sites in a bloodstream infection model.

2020-09-08 | GSE139513 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of in 14-day-old wt and pkl seedlings.

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: RNA from 14-day-old seedlings of wild-type and pkl was isolated using the RNAprep Pure Plant Kit as described above. RNAs from three biological replicates was sequenced separately at Novogene, using Illumina Hiseq X-Ten (Sequencing method: Hiseq-PE150). Results: Reads were mapped to the TAIR10 Arabidopsis genome using TopHat (Galaxy V2.1.1 in usegalaxy.org) with default settings, except that a minimum intron length of 20 bp and a maximum intron length of 5,000 bp were required (Paired-end). Then, mapped reads were assembled according to TAIR10 version of genome annotation using cufflinks (version 2.1.1) with default settings. To analyze differential expression, the assembled transcripts from three independent biological replicates in Col and other mutants were included and compared using Cuffdiff (version 2.1.1) with default settings. 14-day-old seedling of WT and pkl were performed RNA-seq to analyzed their differential expression genes in Arabidopsis.

2022-12-12 | GSE186152 | GEO

Genome-wide binding and mechanistic analyses of Smchd1 mediated epigenetic regulation [RNA-Seq]

Project description:Purpose: The aim of this study is to identify genes that are under the transcriptional control of the epigenetic regulator Smchd1 in neural stem cells (NSCs) derived from E14.5 mouse brain Methods: Total RNA was extracted using an AllPrep DNA/RNA Mini Kit (Qiagen) from cultured neural stem cells derived from male mouse E14.5 brains either wild-type or null for Smchd1. 1 µg total RNA was used to generate sequencing libraries for whole transcriptome analysis with Illumina’s TruSeq RNA Sample Preparation Kit v2 as per standard protocols. Libraries were sequenced on HiSeq 2000 with Illumina TruSeq SBS Kit v3-HS reagents as either 100 bp single-end or paired-end reads at the Australian Genome Research Facility (AGRF), Melbourne. Reads were aligned to the mouse reference genome mm10 and mapped to known genomic features at the gene level using the Rsubread package (version 1.10.5) (Liao et al. 2013). Mapped reads were then summarized into gene-level counts using FeatureCounts (Liao et al. 2014).

2015-06-11 | GSE65747 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of in 14-day-old wt, brm-1, brd1,2,13 and brm-1 brd1,2,13 seedlings

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: RNA from 14-day-old seedlings of wild-type, brip1, brip2, brm-3, brm-1, brip1 brip2, brip1 brip2 brm-3 and brip1 brip2 brm-1 was isolated using the RNAprep Pure Plant Kit as described above. RNAs from three biological replicates was sequenced separately at Novogene, using Illumina Hiseq X-Ten (Sequencing method: Hiseq-PE150). Results: Reads were mapped to the TAIR10 Arabidopsis genome using TopHat (Galaxy V2.1.1 in usegalaxy.org) with default settings, except that a minimum intron length of 20 bp and a maximum intron length of 4,000 bp were required (Paired-end). Then, mapped reads were assembled according to TAIR10 version of genome annotation using cufflinks (version 2.1.1) with default settings. To analyze differential expression, the assembled transcripts from three independent biological replicates in Col and other mutants were included and compared using Cuffdiff (version 2.1.1) with default settings. Conclusions: Our study represents the first detailed analysis of brip1, brip2, brip1 brip2 transcriptomes, with biologic replicates, generated by RNA-seq technology.

2021-03-22 | GSE161516 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of in 14-day-old wt, brm-1, brm-3, brip1, brip2, brip1 brip2, brip1 brip2 brm-3 and brip1 brip2 brm-1 seedlings.

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: RNA from 14-day-old seedlings of wild-type, brip1, brip2, brm-3, brm-1, brip1 brip2, brip1 brip2 brm-3 and brip1 brip2 brm-1 was isolated using the RNAprep Pure Plant Kit as described above. RNAs from three biological replicates was sequenced separately at Novogene, using Illumina Hiseq X-Ten (Sequencing method: Hiseq-PE150). Results: Reads were mapped to the TAIR10 Arabidopsis genome using TopHat (Galaxy V2.1.1 in usegalaxy.org) with default settings, except that a minimum intron length of 20 bp and a maximum intron length of 4,000 bp were required (Paired-end). Then, mapped reads were assembled according to TAIR10 version of genome annotation using cufflinks (version 2.1.1) with default settings. To analyze differential expression, the assembled transcripts from three independent biological replicates in Col and other mutants were included and compared using Cuffdiff (version 2.1.1) with default settings. Conclusions: Our study represents the first detailed analysis of brip1, brip2, brip1 brip2 transcriptomes, with biologic replicates, generated by RNA-seq technology.

2020-06-21 | GSE142622 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of in 14-day-old wt and val1 val2 pkl seedlings.

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: RNA from 14-day-old seedlings of wild-type and pkl was isolated using the RNAprep Pure Plant Kit as described above. RNAs from three biological replicates was sequenced separately at Novogene, using Illumina Hiseq X-Ten (Sequencing method: Hiseq-PE150). Results: Reads were mapped to the TAIR10 Arabidopsis genome using TopHat (Galaxy V2.1.1 in usegalaxy.org) with default settings, except that a minimum intron length of 20 bp and a maximum intron length of 5,000 bp were required (Paired-end). Then, mapped reads were assembled according to TAIR10 version of genome annotation using cufflinks (version 2.1.1) with default settings. To analyze differential expression, the assembled transcripts from three independent biological replicates in Col and other mutants were included and compared using Cuffdiff (version 2.1.1) with default settings. 14-day-old seedling of WT and val1 val2 pkl were performed RNA-seq to analyzed their differential expression genes in Arabidopsis.

2022-12-12 | GSE186156 | GEO

Transcriptome profiling for genes transcriptionally regulated by Smchd1 in lymphoma cell lines.

Project description:Purpose: The aim of this study is to identify genes that are under the transcriptional control of the epigenetic modifier Smchd1 in mouse lymphoma cell lines. Methods: Total RNA was extracted using QIAGEN RNeasy Minikit from sorted lymphoma cell lines derived from mice either wild-type or null for Smchd1. 1µg total RNA was used to generate sequencing libraries for whole transcriptome analysis with Illumina’s TruSeq RNA Sample Preparation Kit v2 as per standard protocols. Libraries were sequenced on HiSeq 2000 with Illumina TruSeq SBS Kit v3-HS reagents as either 100 bp single-end or paired-end reads at the Australian Genome Research Facility (AGRF), Melbourne. Reads were aligned to the mouse reference genome mm10 and mapped to known genomic features at the gene level using the Rsubread package (version 1.10.5) (Liao et al. 2013). Mapped reads were then summarized into gene-level counts using FeatureCounts (Liao et al. 2014).

2015-03-13 | GSE64099 | GEO

RNA-seq analysis comparing WT, Rad21 MO and CTCF MO zebrafish embryos at stages (2.5, 3.3, 4.5, 5.3, 10 hpf) pre and post ZGA (zygotic genome activation)

Project description:Methods: Triplicate RNA samples from morphologically stage-matched embryos were sequenced to compare expression profiles over time. Strand-specific libraries were prepared using the TruSeq stranded total RNA-ribozero kit (Illumina) and 100-bp paired-end sequencing was performed to depth of 10 million reads per library on an Illumina HiSeq 2000. Methods: On average, 19 million 100 bp paired-end reads per library were generated. These were then adapter and quality trimmed using cutadapt and SolexaQA. Each sequencing data set was independently mapped to the zebrafish genome with a bowtie2 index generated from Danio_rerio.Zv9.70 (Ensembl) downloaded from Illumina’s iGenomes collection. Zebrafish genome danRer7was used to provide known transcript annotations from Ensembl using TopHat2 (version 2.0.9) with the following options: “tophat2 --GTF genes.gtf --library-type fr-firststrand -p 24 --mate-inner-dist -8 --mate-std-dev 6 zv9” (on average, 75.38% reads mapped uniquely to the genome). Transcriptomes were assembled with Cufflinks (version 2.2.0) using options: ‘cufflinks -p 32 --GTF genes.gtf’ and differential expression analysis between control and knockdown embryos was performed using Cuffdiff. A FDR corrected p-value of 0.05 was applied as the cut off to identify differentially regulated transcripts Results: We could show that MO assisted depletion of Rad21 and CTCF affected the transcriptional profiles of embryos in different ways.

2017-12-01 | GSE84601 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data