To better understand the scale of gene expression changes that occur during the formation of mature adipocytes from preadipocytes, we compared and characterised the transcriptome profile of mesenchymal stromal cells derived from human adipose tissue, otherwise known as adipose-derived stromal cells (ASCs), undergoing adipocyte differentiation on day 1, 7, 14 and 21 (representing the early to late stage process of adipogenesis). Microarray technique was systematically employed to study gene expression in adipose-derived stromal cells during adipogenic differentiation over a 21 day period to identify genes that are important in driving adipogenesis in humans.
Genome-wide analysis of gene expression during adipogenesis in human adipose-derived stromal cells reveals novel patterns of gene expression during adipocyte differentiation.
Sex, Age, Specimen part, Subject
View SamplesmRNA used for the analysis of these microarrays were previously analyzed for 34 genes by reverse transcription - polymerase chain reaction in Desai BJ et al., J.Orthop.Trauma 17: 689-698, 2003. These two data sets were subsequently studied to compare the results from these two different methods for mRNA quantitation. The comparison was publised in "Comparison of mRNA gene expression by RT-PCR and DNA microarray" by W. Etienne, M.H. Meyer, J. Peppers, and R.A. Meyer, Jr., BioTechniques 36 (4): 618-626, April 2004.
Comparison of mRNA gene expression by RT-PCR and DNA microarray.
No sample metadata fields
View SamplesBackground: In human malaria, parasites of the genus Plasmodium elicit expansion of atypical memory B cells (atMBCs), which lack the classical markers CD21 and CD27. We have identified a putative population of analogous B cells in a murine model of infection with P. chabaudi, delineated by the marker FCRL5. We performed RNA-Seq on FCRL5+ and FCRL5- B cells sorted from infected mice, so as to characterize the transcriptional profile of these cells and permit comparison to atMBCs in humans. Results: FCRL5+ B cells were found to have distinct transcriptional profiles from FCRL5- B cells, with approximately 400 genes exhibiting significant differences between the two groups. Additionally, about 25% of these differentially expressed genes were also differentially expressed in human atMBCs versus classical MBCs, as previously described by Sullivan et al (PLoS Pathogens 2015). Conclusions: FCRL5+ class-switched B cells are a transcriptionally distinct subset arising in P. chabaudi infection, with transcriptional similarities to human atMBCs that develop in chronic malaria settings. Overall design: Class-switched B cells (IgM- IgD- CD19+) were isolated into FCRL5+ and FCRL5- populations by double-sorting from the blood of C57BL/6 adult female mice 21 days post-infection with Plasmodium chabaudi. Pools of ~1000 cells were isolated and processed for RNA sequencing. 5 biological replicates were analyzed for each sample type.
FCRL5<sup>+</sup> Memory B Cells Exhibit Robust Recall Responses.
Specimen part, Subject
View SamplesUsing a transcriptomics approach we explored the mechanism(s) of synergy observed between CDKI-73 and fludarabine in primary CLL cells. The cytotoxic effects of CDKI-73 were associated with transcriptional inhibition of cdk9 target genes including MCL1 and XIAP. In contrast, fludarabine induced the transcription of these genes, an effect that was reversed by the combination of CDKI-73 and fludarabine.
A novel Cdk9 inhibitor preferentially targets tumor cells and synergizes with fludarabine.
Specimen part, Treatment
View SamplesDegradation and chemical modification of RNA in formalin-fixed paraffin-embedded (FFPE) samples hamper their use in expression profiling studies. In this study, we investigated the feasibility of gene expression signature generation from archival FFPE materials. Nineteen cervical squamous cell carcinoma (SCC) and nine adenocarcinoma (AC) 10~16-year-old FFPE samples were profiled using Affymetrix Exon 1.0 ST arrays. A comparison of the global gene expression changes between SCC and AC revealed 1217 differentially expressed genes. Of these, 1062 showed significantly higher expression levels in SCC relative to AC, and 155 genes were found to be specifically upregulated in AC. When the 1217-gene signature was tested on a fresh-frozen human non-small cell lung cancer (NSCLC) series, it correctly separated the 58 NSCLC samples into SCC and AC. In conclusion, our results showed that clinically and biologically relevant gene expression profiles can be derived from FFPE samples with Exon array profiling.
Exon-array profiling unlocks clinically and biologically relevant gene signatures from formalin-fixed paraffin-embedded tumour samples.
Disease, Disease stage
View SamplesCD38 expression is an important prognostic marker in CLL with high levels of CD38 associated with shorter overall survival. In this study, we used gene expression profiling and protein analysis of highly purified cell-sorted CD38+ and CD38- chronic lymphocytic leukemia cells to elucidate a molecular basis for the association between CD38 expression and inferior clinical outcome. Paired CD38+ and CD38- CLL cells derived from the same patient were shown to be monoclonal by VH gene sequencing but despite this, CD38+ CLL cells possessed a distinct gene expression profile when compared with their CD38- sub-clones.
Highly purified CD38+ and CD38- sub-clones derived from the same chronic lymphocytic leukemia patient have distinct gene expression signatures despite their monoclonal origin.
No sample metadata fields
View SamplesGene expression of memory CD4+ and CD8+ T cells determined by RNAseq 30 days after LCMV Armstrong infection Overall design: 30 days post-infection with LCMV Arm spleen GP66:I-Ab+ T cells from Zbtb7bAD (CD4 Zbtb7bAD) or Tnfrsf4-Cre– (CD4 Ctrl) mice and of spleen GP33:H-2Db+ T cells from Tnfrsf4-Cre– animals (CD8 Ctrl) were sorted and gene expression was determined by RNAseq
The Emergence and Functional Fitness of Memory CD4<sup>+</sup> T Cells Require the Transcription Factor Thpok.
Subject
View SamplesSingle-cell gene expression of effector and memory CD4+ and CD8+ T cells from WT or Thppok-deficient animals was determined by sRNAseq after LCMV Armstrong infection Overall design: 7 and 30 days post-infection with LCMV Arm spleen T cells were sorted and gene expression was determined by scRNAseq
The Emergence and Functional Fitness of Memory CD4<sup>+</sup> T Cells Require the Transcription Factor Thpok.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.
Specimen part, Disease, Cell line
View SamplesAccurate profiling of RNA expression of single cells is a valuable approach for broadening our understanding of cancer biology and mechanisms of dissemination, but requires the development of reliable methods for their molecular characterization. Here we evaluate a single cell methodology which generates microgram amounts of cDNA suitable for next generation sequencing (RNA-Seq), high throughput RT-qPCR and Affymetrix array analysis. The approach was tested by comparing expression profiles of amplified single MCF7 and MCF10A cells to profiles generated from unamplified RNA. The expression profiles were compared by Affymetrix-U133 arrays, RNA-Seq and high-density qPCR. There were strong cross-platform correlations of >80% and concordance between single cell and unamplified material of >70%. We exemplify the approach through analysis of rare sorted cancer initiating cells (CICs) derived from a NSCLC patient-derived xenograft. Populations of 10 cells from total tumour and two distinct subsets of CIC, putatively involved in primary tumor maintenance or metastasis formation were FACS sorted then directly amplified. CIC expression profiles strongly correlated with published stem-cell and epithelial-mesenchymal transition (EMT) signatures. Our results confirm the utility of the amplification system and our methodology to detect and distinguish RNA profiles in rare cell populations that inform on EMT and stem-cell characteristics. This GEO dataset comprises the Affymetrix U-133 Plus 2.0 data for MCF7 and MCF10A cDNA amplified from 1ng RNA and single cell samples.
Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.
Disease, Cell line
View Samples