Pseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Most CF patients acquire unique P. aeruginosa strains from the environment; however clonal strains have been identified in CF communities in several countries. Two clonal strains infect 10% to 40% of patients in three CF clinics in mainland eastern Australia. The expression profiles of four planktonically-grown isolates of one Australian clonal strain (AES-1), and four nonclonal CF P. aeruginosa isolates were compared to each other and to the reference strain PAO1 using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating the enhanced infectivity of AES-1. The isolates were subsequently grown as 3-day old biofilms and similarly extracted for RNA and compared as above. Data analysis was carried out using BIOCONDUCTOR software.
Gene expression characteristics of a cystic fibrosis epidemic strain of Pseudomonas aeruginosa during biofilm and planktonic growth.
No sample metadata fields
View SamplesPseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Most CF patients acquire unique P. aeruginosa strains from the environment; however clonal strains have been identified in CF communities in several countries. Two clonal strains infect 10% to 40% of patients in three CF clinics in mainland eastern Australia. The expression profiles of four planktonically-grown isolates of one Australian clonal strain (AES-2), and four nonclonal CF P. aeruginosa isolates were compared to each other and to the reference strain PAO1 using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating the enhanced infectivity of AES-1. The isolates were subsequently grown as 3-day old biofilms and similarly extracted for RNA and compared as above. Data analysis was carried out using BIOCONDUCTOR software.
Transcriptome analyses and biofilm-forming characteristics of a clonal Pseudomonas aeruginosa from the cystic fibrosis lung.
No sample metadata fields
View SamplesThe amount of RNA sequencing data on skeletal muscle is very limited. We have analyzed a large set of human muscle biopsy samples and provide extensive information on the baseline skeletal muscle transcriptome, including completely novel protein-coding transcripts. Overall design: Analyze of transcriptome in 23 skeletal muscle biopsy samples from six individuals. Four biopsies from each subject, two biopsies from each leg (except subject 6 which has only three biopsies in total).
The human skeletal muscle transcriptome: sex differences, alternative splicing, and tissue homogeneity assessed with RNA sequencing.
No sample metadata fields
View SamplesIn the present study 23 participants completed three months of supervised aerobic exercise training of one leg (training period 1) followed by 9 months of rest before 12 of the participants completed a second exercise training period (training period 2) of three months of both legs. Skeletal muscle biopsies have been collected before and after the training periods. We have compared trained leg with untrained leg and studied gene and isoform expression. Additional samples included in this study has been previously submitted (GEO accession number GSE58387 and GSE60590). Overall design: Analyze of transcriptome in skeletal muscle biopsy samples in response to exercise training in 23 participants in total (in addition to data previously submitted GEO accession number GSE58387 and GSE60590). Biopsy is collected from skeletal muscle before and after training period.
The Impact of Endurance Training on Human Skeletal Muscle Memory, Global Isoform Expression and Novel Transcripts.
No sample metadata fields
View SamplesA total of 23 participants (data available in present submission and in GSE58608) completed three months of supervised aerobic exercise training of one leg. Skeletal muscle biopsies have been collected before and after the training period. We have investigated differences between trained and untrained leg and before and after training by studying the gene and isoform expression. Additional samples present in this study has been previously published (GEO accession number GSE58608). Overall design: Analysis of transcriptome in skeletal muscle biopsy samples in response to exercise training in 22 participants (of the total 23 participants). One biopsy is collected from each leg before and after training period.
The Impact of Endurance Training on Human Skeletal Muscle Memory, Global Isoform Expression and Novel Transcripts.
No sample metadata fields
View SamplesThe amount of RNA sequencing data on skeletal muscle is very limited. We have analyzed a large set of human muscle biopsy samples and provide extensive information on the baseline skeletal muscle transcriptome, including completely novel protein-coding transcripts. Overall design: Analyze of transcriptome in 24 skeletal muscle biopsy samples, 12 individuals and one biopsy per leg per individual
The Impact of Endurance Training on Human Skeletal Muscle Memory, Global Isoform Expression and Novel Transcripts.
No sample metadata fields
View SamplesThis analysis compares gene expression in human carotid plaques with gene expression in major tissues and cell types in the human body (GSE1133, Su et al. 2004).
Expression of chemokine (C-C motif) ligand 18 in human macrophages and atherosclerotic plaques.
No sample metadata fields
View SamplesMolecular definition of human extraocular muscles (EOM). Human EOM were compared with limb (quadriceps femoris) muscle.
Definition of the unique human extraocular muscle allotype by expression profiling.
No sample metadata fields
View SamplesWe used global gene expression profiles from human B-cell cell lines to generate gene expression signatures for prediction of response to the drugs cyclophosphamide, doxorubicin or vincristine. The signatures were validated in two publicly available clinical cohorts.
Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.
Disease, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below:
Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.
Specimen part
View Samples