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Links from GEO DataSets

Items: 11

1.

Directed shotgun proteomics guided by RNA-Seq identifies a complete expressed prokaryotic proteome

(Submitter supplied) Prokaryotes are, due to their moderate complexity, particularly amenable to the comprehensive identification of the protein repertoire expressed under different conditions. We applied a generic strategy to identify a complete expressed prokaryotic proteome, which is based on the analysis of RNA and proteins extracted from matched samples. Saturated transcriptome profiling by RNA-seq provided an endpoint estimate of the protein-coding genes expressed under two conditions which mimic the interaction of Bartonella henselae with its mammalian host. more...
Organism:
Bartonella henselae
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16712
4 Samples
Download data: TSV
Series
Accession:
GSE44564
ID:
200044564
2.

REPARATION: Ribosome Profiling Assisted (Re-) Annotation of Bacterial genomes

(Submitter supplied) The delineation of genes in bacteria has remained an important challenge because prokaryotic genomes are often tightly packed frequently resulting in overlapping genes. We hereby present a de novo approach called REPARATION (RibosomeE Profiling Assisted (Re-)AnnotaTION) to delineate translated open reading frames (ORFs) in bacteria independent of (available) genome annotation. By deep sequencing of ribosome protected mRNA fragments (RPF) to map translating ribosomes across the entire genome, REPARATION takes advantage of the recently developed ribosome profiling (Ribo-seq) technique. more...
Organism:
Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344
Type:
Expression profiling by high throughput sequencing; Other
Platform:
GPL20056
4 Samples
Download data: BED, BEDGRAPH
Series
Accession:
GSE91066
ID:
200091066
3.

Genome-wide transcription start site mapping of Bradyrhizobium japonicum free-living cells and bacteroids - a rich resource to identify new transcripts, proteins and to study gene regulation

(Submitter supplied) Background: During the symbiosis with legumes, Bradyrhizobium japonicum cells infect roots where they induce the formation of root nodules and differentiate into intracellular nitrogen-fixing bacteroids. We used differential RNA-seq (dRNA-seq) for the genome-wide detection of transcriptional start sites (TSSs) in B. japonicum USDA 110 cells grown free-living or as bacteroids in soybean root nodules. more...
Organism:
Bradyrhizobium diazoefficiens USDA 110
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20219
4 Samples
Download data: WIG
Series
Accession:
GSE69059
ID:
200069059
4.

Next Generation Annotation of prokarotic genomes with EuGene-P: application to Sinorhizobium meliloti 2011

(Submitter supplied) With a view to re-annotate the genome sequence of the nitrogen fixing bacterium Sinorhizobium meliloti, we generated oriented sequences of transcripts. To cover a large number of expressed genes we prepared RNA from bacteria grown in three very different physiological conditions including bacteria grown in liquid cultures (in both exponential and stationary growth phases) and from 10-day-old nodules in which bacteria were differentiated in nitrogen fixing bacteroids. more...
Organism:
Sinorhizobium meliloti; Medicago truncatula
Type:
Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing
Platforms:
GPL16595 GPL16596
18 Samples
Download data: TXT
Series
Accession:
GSE44083
ID:
200044083
5.

N-terminal Proteomics Assisted Profiling of the Unexplored Translation Initiation Landscape in Arabidopsis thaliana.

(Submitter supplied) Proteogenomics is an emerging research field yet lacking a standard method of analysis. In this article, we demonstrate the strength of proteogenomic analysis specific for N-terminal data that aims at the discovery of novel translational start sites. In summary, unidentified spectra were matched to a specific N-terminal peptide library encompassing all theoretical protein N-termini encoded in the genome. more...
Organism:
Arabidopsis thaliana
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13222
2 Samples
Download data: BEDGRAPH
Series
Accession:
GSE88790
ID:
200088790
6.

smORFer: a modular algorithm to detect small ORFs in prokaryotes

(Submitter supplied) We developed a novel algorithm, smORFer, detecting smORFs (e.g. <50 codons) which performs with higher accuracy in prokaryotic organisms. smORFer considers structural features of genetic sequence along with in-register translation and using Fourier transform converts them into a measurable score to faithfully select smORFs. The algorithm is executed in a modular way and dependent on the data available different modules can be tested.
Organism:
Staphylococcus aureus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19006
2 Samples
Download data: TXT
Series
Accession:
GSE150601
ID:
200150601
7.

Gene expression analysis of Yersinia Pestis temperature shift.

(Submitter supplied) The study aims to to determine temperature sensitive genes across the strains COW5,PBIB15 and pestoidesF.
Organism:
Yersinia pestis; Yersinia pestis CO92
Type:
Expression profiling by array
Platform:
GPL9009
24 Samples
Download data: MEV
Series
Accession:
GSE30634
ID:
200030634
8.

The small proteome of the nitrogen-fixing plant symbiont Sinorhizobium meliloti

(Submitter supplied) Ribosome profiling was applied for the first time on S. meliloti to generate a translatome map. Our work reveals active translation for several ORFs including small ORFs (sORFs). In addition, our ribosome profiling data led to the discovery of several translated non-annotated sORFs. Translation of these non-annotated sORFs was validated by proteomics and western blotting.
Organism:
Sinorhizobium meliloti 2011
Type:
Expression profiling by high throughput sequencing; Other
Platform:
GPL32373
4 Samples
Download data: BW
Series
Accession:
GSE206492
ID:
200206492
9.

A proteomic view on the cell biology of Staphylococcus aureus proteome

(Submitter supplied) The genome sequence is the “blue-print of life”, but proteomics is required to relate this blue-print of life to the actual physiology of living cells. Because of their low complexity – only about 2.000 proteins make a Staphylococcus aureus cell viable – bacteria are excellent model systems to identify the entire protein assembly of a living organism. Many of the studies on physiological proteomics of bacteria, however, still rely on 2D gel-based technologies that visualize only a minor part of the proteome. more...
Organism:
Staphylococcus aureus subsp. aureus COL; Staphylococcus aureus subsp. aureus MW2; Staphylococcus aureus subsp. aureus NCTC 8325; Staphylococcus aureus; Staphylococcus aureus subsp. aureus Mu50; Staphylococcus aureus subsp. aureus N315; Staphylococcus aureus subsp. aureus MRSA252; Staphylococcus aureus subsp. aureus MSSA476; Staphylococcus aureus subsp. aureus USA300
Type:
Expression profiling by array
Platform:
GPL7137
4 Samples
Download data: TXT
Series
Accession:
GSE15060
ID:
200015060
10.

Microarray analysis of Rgg-dependent transcriptional regulation in NZ131 Streptococcus pyogenes strain

(Submitter supplied) Streptococcus pyogenes growth-phase dependent and Rgg-dependent transcription was analyzed Keywords: transcriptional regulation
Organism:
Streptococcus pyogenes
Type:
Expression profiling by array
Platform:
GPL3312
9 Samples
Download data
Series
Accession:
GSE3989
ID:
200003989
11.

Exon level integration of proteomics and microarray data

(Submitter supplied) Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in part be because the different assays were targeting different parts of the expressed genome and might therefore be subjected to confounding effects from processes such as alternative splicing. Results: Using a genome database as a platform for integration, we combined quantitative protein mass spectrometry with Affymetrix Exon array data at the level of individual exons. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
6 Samples
Download data: CEL
Series
Accession:
GSE19154
ID:
200019154
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