U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 20

1.

RNA-seq analysis of Escherichia coli str. K-12 substr. MG1655

(Submitter supplied) Expression profiles of wild-type and SgrR mutant E. coli strains under aMG and 2-DG-induced stress. Expression profiles of E. coli overexpressing SgrS sRNA.
Organism:
Escherichia coli str. K-12 substr. MG1655
Type:
Expression profiling by high throughput sequencing
Platform:
GPL15010
54 Samples
Download data: TXT
Series
Accession:
GSE45443
ID:
200045443
2.

RNA-seq analysis of Salmonella enterica Typhimurium LT2

(Submitter supplied) We performed whole-genome transcriptomic analyses of the Salmonella Typhimimurium genome during glucose-phosphate stress. In particular, we wanted to elucidate the role of the the small RNA SgrS and protein regulator SgrT in the stress response.
Organism:
Salmonella enterica subsp. enterica serovar Typhimurium str. LT2
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16864
8 Samples
Download data: TXT
Series
Accession:
GSE45445
ID:
200045445
3.

Computational Analysis of Bacterial RNA-Seq Data

(Submitter supplied) RNA-seq analysis was carried out on N. gonorrhoeae grown in vitro to verify accuracy of a novel RNA-seq analysis program, Rockhopper
Organism:
Neisseria gonorrhoeae F62
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16863
3 Samples
Download data: TXT
Series
Accession:
GSE45444
ID:
200045444
4.

A transcriptome map of Actinobacillus pleuropneumoniae at single-nucleotide resolution using RNA-seq

(Submitter supplied) We used the RNA-seq technology to do a genome-wide transcriptional analysis of A. pleuropneumoniae strain JL03 and investigated the transcriptome structure at a single-nucleotide resolution.The RNA-Seq based transcriptome map validated annotated genes and corrected annotations of open reading frames in the genome, and led to the identification of many functional elements (e.g. regions encoding novel proteins, non-coding sRNAs and operon structures).
Organism:
Actinobacillus pleuropneumoniae serovar 3 str. JL03
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20603
1 Sample
Download data: BED
Series
Accession:
GSE70153
ID:
200070153
5.

Small RNA libraries from pooled synthetic miRNAs

(Submitter supplied) A total of 286 synthetic miRNAs that are commonly observed in circulation were synthesized by Integrated DNA Technologies (Coralville, IA).
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by high throughput sequencing
Platform:
GPL11154
6 Samples
Download data: TXT
Series
Accession:
GSE94912
ID:
200094912
6.

Transcriptional Regulation of Anabaena 7120 response to Nitrogen Deprivation

(Submitter supplied) Here, we report the transcriptome of Anabaena sp. strain 7120, a cyanobacterium that forms specialized nitrogen-fixing cells called heterocysts. Our data suggests that cyanobacteria frequently have more complex transcripts than thought, with large 5' UTRs, numerous antisense transcripts, and multiple transcriptional start sites or processing sites.
Organism:
Nostoc sp. PCC 7120 = FACHB-418
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11645
4 Samples
Download data: BAM
Series
Accession:
GSE26633
ID:
200026633
7.

Comparative Analysis of RNA-Seq Alignment Algorithms and the RNA-Seq Unified Mapper (RUM).

(Submitter supplied) A critical task in high throughput sequencing is aligning millions of short reads to a reference genome. Alignment is especially complicated for RNA sequencing (RNA-Seq) because of RNA splicing. A number of RNA-Seq algorithms are available, and claim to align reads with high accuracy and efficiency while detecting splice junctions. RNA-Seq data is discrete in nature; therefore with reasonable gene models and comparative metrics RNA-Seq data can be simulated to sufficient accuracy to enable meaningful benchmarking of alignment algorithms. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11002
4 Samples
Download data: SAM, TXT
Series
Accession:
GSE26248
ID:
200026248
8.

Ab initio identification of transcription start sites (TSSs) in the Rhesus macaque genome by histone modification and RNA-Seq

(Submitter supplied) We addressed the lack of experimentally supported transcript annotations in the Rhesus macaque genome by ab initio identification of the transcription start sites (TSSs). We took advantage of histone H3 lysine 4 trimethylation (H3K4me3)'s ability to mark TSSs and the recently developed ChIP-Seq and RNA-Seq technology to survey the transcript structures in the macaque brain. We then integrated the two types of our newly generated data with genomic sequence features and extended a TSS prediction algorithm to ab initio predict and verify 16,833 of previously electronically annotated transcription start sites at 500 bp resolution and predicted ~10,000 new TSSs.
Organism:
Macaca mulatta
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platform:
GPL9160
3 Samples
Download data: BED, BEDGRAPH, TXT
Series
Accession:
GSE24538
ID:
200024538
9.

SMRT-Cappable-seq reveals complex operon variants in bacteria

(Submitter supplied) We develop a method SMRT-Cappable-seq that combines the isolation of unfragmented bacterial primary transcripts with the longread sequencing using PacBio. This method allows the identification and phasing of the transcrription start sites and the termination sites, thereby revealing the operon structure and the regulation of gene experession in bacteria. Applied to E.coli, our method results in an unprecedented definition of the transcriptome with 34% of the known operons from RegulonDB database being extended by at least one gene, and identifies a total of 2300 operons from which around 900 are novel.
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing; Other
Platforms:
GPL25343 GPL24462
6 Samples
Download data: TXT
Series
Accession:
GSE117273
ID:
200117273
10.

Detailed transcriptome analysis of the plant growth promoting Paenibacillus riograndensis SBR5 using RNAseq technology

(Submitter supplied) Background- The plant growth promoting rhizobacterium Paenibacillus riograndensis SBR5 is a promising candidate to serve as crop inoculant. Despite its potential regarding environmental and economic benefits, the species P. riograndensis is poorly characterized. Here, we performed for the first time a detailed transcriptome analysis of P. riograndensis SBR5 using RNAseq technology. Results- Sequence analysis of the library enriched in 5’-ends of the primary transcripts was used to identify 1,082 TSS belonging to novel transcripts and allowed us to determine a promoter consensus sequence and regulatory sequences in 5’ untranslated regions including riboswitches Conclusions- Our RNAseq analysis provides insight into the P. more...
Organism:
Paenibacillus riograndensis
Type:
Expression profiling by high throughput sequencing
Platform:
GPL23461
2 Samples
Download data: XLS
Series
Accession:
GSE98766
ID:
200098766
11.

Directional RNA-seq reveals highly complex condition-dependent transcriptomes in E. coliK12 through accurate full-length transcripts assembling

(Submitter supplied) Using a highly efficient and strand-specific RNA-seq method combined with a highly accurate and robust algorithm and tool we developed, TruHMM for assembling full-length transcriptomes, to profile the transcriptome of E.coli K12 under different culture conditions and growth phases, we showed that the dynamic transcriptome structures appears to be culture condition and growth phases dependent.
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL14548 GPL10328
15 Samples
Download data: BIGWIG
Series
Accession:
GSE48151
ID:
200048151
12.

RNA-seq alignment to individualized genomes

(Submitter supplied) The source of most errors in RNA sequencing (RNA-seq) read alignment is in the repetitive structure of the genome and not with the alignment algorithm. Genetic variation away from the reference sequence exacerbates this problem causing reads to be assigned to the wrong location. We developed a method, implemented as the software package Seqnature, to construct the imputed genomes of individuals (individualized genomes) of experimental model organisms including inbred mouse strains and genetically unique outbred animals. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
1086 Samples
Download data: TXT
Series
Accession:
GSE45684
ID:
200045684
13.

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Nrl-/- Retinal Transcriptomes

(Submitter supplied) 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: Retinal mRNA profiles of 21-day-old wild-type (WT) and neural retina leucine zipper knockout (Nrl−/−) mice were generated by deep sequencing, in triplicate, using Illumina GAIIx. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11002
6 Samples
Download data: BAM, TXT, XLS
Series
Accession:
GSE33141
ID:
200033141
14.

TSS-EMOTE, a refined protocol for a more complete and less biased global mapping of transcription start sites in bacterial pathogens.

(Submitter supplied) Background Bacteria rely on efficient gene regulatory mechanisms to switch between genetic programs when they are facing new environments. Although this regulation can occur at many different levels, one of the key steps is the initiation of transcription. Identification of the first nucleotide transcribed by the RNA polymerase is therefore essential to understand the underlying regulatory processes, since this provides insight on promoter strength and binding sites for transcriptional regulators, and additionally reveals the exact 5' untranslated region of the transcripts, which often contains elements that regulate translation. more...
Organism:
Klebsiella aerogenes; Acinetobacter baumannii; Staphylococcus aureus; Staphylococcus epidermidis
Type:
Expression profiling by high throughput sequencing; Other
4 related Platforms
30 Samples
Download data: TSV
Series
Accession:
GSE85110
ID:
200085110
15.

Differential Gene and Transcript Expression Analysis with TopHat and Cufflinks

(Submitter supplied) This submission includes the sample data for a protocol covering differential expression analysis with TopHat and Cufflinks. The protocol also covers several accessory tools and utilities that aid in managing data, including CummeRbund, a tool for visualizing RNA-Seq analysis results. While the procedure assumes basic informatics skills, these tools assume little to no background with RNA-Seq analysis and are meant for novices and experts alike. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11203
6 Samples
Download data: BAM, DIFF, FPKM_TRACKING, GTF
Series
Accession:
GSE32038
ID:
200032038
16.

Mus musculus intestinal epithelial MODE-K cells incubated with Heligmosomoides bakeri secreted extracellular vesicles (EVs)

(Submitter supplied) Small RNAs are emerging as important molecules for cross-species communication. Thanks to available and affordable sequencing technologies it is now possible to sequence small RNAs (sRNA-Seq) present in samples of interacting organisms. A first step when analyzing sRNA-Seq of two interacting species is to determine which sequences are being produced by which organism. Due to their small size (18-30), small RNAs could easily map to both host and parasite genomes. more...
Organism:
Mus musculus; Heligmosomoides bakeri
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL21103 GPL25995
12 Samples
Download data: TXT
Series
Accession:
GSE124506
ID:
200124506
17.

The Project for High-Confidence Coding and Noncoding Transcriptome Maps

(Submitter supplied) The advent of high-throughput RNA sequencing (RNA-seq) has led to the discovery of unprecedentedly immense transcriptomes encoded by eukaryotic genomes. However, the transcriptome maps are still incomplete partly because they were mostly reconstructed based on RNA-seq reads that lack their orientations (known as unstranded reads) and certain boundary information. Methods to expand the usability of unstranded RNA-seq data by predetermining the orientation of the reads and precisely determining the boundaries of assembled transcripts could significantly benefit the quality of the resulting transcriptome maps. more...
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing; Third-party reanalysis
Platform:
GPL13112
2 Samples
Download data: GTF
Series
Accession:
GSE97212
ID:
200097212
18.

High-confidence Coding and Noncoding Transcriptome Maps

(Submitter supplied) The advent of high-throughput RNA sequencing (RNA-seq) has led to the discovery of unprecedentedly immense transcriptomes encoded by eukaryotic genomes. However, the transcriptome maps are still incomplete partly because they were mostly reconstructed based on RNA-seq reads that lack their orientations (known as unstranded reads) and certain boundary information. Methods to expand the usability of unstranded RNA-seq data by predetermining the orientation of the reads and precisely determining the boundaries of assembled transcripts could significantly benefit the quality of the resulting transcriptome maps. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing; Third-party reanalysis
Download data: GTF, TXT, XLS
Series
Accession:
GSE97211
ID:
200097211
19.

MS2-affinity purification coupled with RNA sequencing (MAPS) reveals CyaR sRNA targetome in Escherichia coli.

(Submitter supplied) Recently, we developed an in vivo technology to draw the interacting map of a specific small regulatory RNA (sRNA). We called it MAPS for MS2-affinity purification coupled with RNA sequencing. Using this technology, we already revealed the targetome of RyhB, RybB and DsrA, three well-characterized sRNAs in Escherichia coli. In this study, we performed MAPS with CyaR sRNA.
Organism:
Escherichia coli K-12
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19168
2 Samples
Download data: TXT
Series
Accession:
GSE90128
ID:
200090128
20.

MS2-affinity purification coupled with RNA sequencing (MAPS) reveals RprA sRNA targetome.

(Submitter supplied) Recently, we developed an in vivo technology to draw the interacting map of a specific small regulatory RNA (sRNA). We called it MAPS for MS2-affinity purification coupled with RNA sequencing. Using this technology, we already revealed the targetome of RyhB, RybB and DsrA, three well-characterized sRNAs in Escherichia coli. In this study, we perform MAPS with RprA sRNA.
Organism:
Escherichia coli K-12
Type:
Other
Platform:
GPL19168
2 Samples
Download data: TXT
Series
Accession:
GSE80020
ID:
200080020
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=1|qty=18|blobid=MCID_6658148fe795547e5f01f3c1|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center