mRNA from bone marrow-derived MSCs stably expressing CTGF-specific shRNA (or empty vector control) was analyzed for differential gene expression. Significant differences were found in cell proliferation-related genes, especially genes related to the M phase of the cell cycle, which were down-regulated in CTGF-knockdown-MSCs compared to control MSCs.
Connective tissue growth factor regulates adipocyte differentiation of mesenchymal stromal cells and facilitates leukemia bone marrow engraftment.
Specimen part
View SamplesChoroideremia (CHM) is a progressive X-linked retinopathy caused by mutations in the CHM gene, which encodes Rab escort protein-1 (REP-1), an escort protein involved in the prenylation of Rabs. Under-prenylation of certain Rabs, as a result of loss of function mutations in REP-1, could affect vesicular trafficking, exocytosis and secretion. To evaluate this hypothesis, intracellular vesicle transport, lysosomal acidification and rates of proteolytic degradation were studied in monocytes (CD14+ fraction) and primary skin fibroblasts from the nine age-matched controls and thirteen CHM patients carrying 10 different loss-of-function mutations.
Loss-of-function mutations in Rab escort protein 1 (REP-1) affect intracellular transport in fibroblasts and monocytes of choroideremia patients.
Specimen part, Disease
View SamplesAnalysis of expression quantitative trait loci (eQTLs) using RNA derived from freshly harvested peripheral blood CD4+ lymphocytes from 200 asthmatics collected in clinical settings.
Mapping of numerous disease-associated expression polymorphisms in primary peripheral blood CD4+ lymphocytes.
Sex, Specimen part, Disease, Disease stage, Subject
View SamplesPurpose: The goal of the present study is to provide an independent assessment of the retinal transcriptome signatures of the C57BL/6J (B6) and DBA/2J (D2) mice and to enhance existing microarray datasets for accurately defining the allelic differences in the BXD recombinant inbred strains. Methods: Retinas from both B6 and D2 mice (3 of each) were used for the RNA-seq analysis. Transcriptome features were examined for both strains. Differentially expressed genes between the 2 strains were identified and bioinformatic analysis was performed to analyze the transcriptome differences between B6 and D2 strains, including Gene ontology (GO) analysis, Phenotype and Reactome enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The RNA-seq data were then directly compared with one of the microarray datasets (DoD Retina Normal Affy MoGene 2.0 ST RMA Gene Level Microarray Database) hosted on GeneNetwork (www.genenetwork.org). Results: RNA-seq provided an in-depth analysis of the transcriptome of the B6 and D2 retina with a total of more than 30,000,000 reads per sample. Over 70% of the reads were uniquely mapped, resulting in a total of 18,100 gene counts for all 6 samples. 1,665 genes were differentially expressed, with 858 of these more highly expressed in B6 and 807 more highly expressed in D2. Several molecular pathways were differentially active between the two strains, including the retinoic acid metabolic process, endoplasmic reticulum lumen, extracellular matrix organization, and PI3K-Akt signaling pathway. The most enriched KEGG pathways were the pentose and glucuronate interconversions pathway, the cytochrome P450 pathway, protein digestion and absorption pathway and the ECM-receptor interaction pathway. Each of these pathways had a more than 4-fold enrichment. The DoD normal retina microarray database provided expression profiling for 26,191 annotated transcripts for B6 mouse, D2 mouse and 53 BXD strains. A total of 13,793 genes in this microarray dataset were comparable to the RNA-seq dataset. For both B6 and D2, the RNA-seq data and microarray data were highly correlated with each other (Pearson's r = 0.780 for B6 and 0.784 for D2). Our results suggest that the microarray dataset can reliably detect differentially expressed genes between the B6 and D2 retinas, with a positive predictive value of 45.6%, and a negative predictive value of 93.6%. Examples of true positive and false positive genes are provided. Conclusions: Retinal transcriptome features of B6 and D2 mouse strains provide a useful reference for a better understanding of the mouse retina. Generally, the microarray database presented on GeneNetwork shows good agreement with the RNA-seq data, while we note that any allelic difference between B6 and D2 should be verified with the latter. Overall design: Retinal mRNA profiles of 2 strains of mice, C57BL/6J and DBA/2J, were generated by deep sequencing, in triplicate, using Illumina TruSeq Stranded Total RNA kit.
RNA sequencing profiling of the retina in C57BL/6J and DBA/2J mice: Enhancing the retinal microarray data sets from GeneNetwork.
Specimen part, Cell line, Subject
View SamplesWe applied ribosome profiling and RNA sequencing to examine gene expression regulation during oncogenic cell transformation. One model involves normal mammary epithelial cells (MCF10A) containing ER-Src. Treatment of such cells with tamoxifen rapidly induces Src, thereby making it possible to kinetically follow the transition between normal and transformed cells. The other model consists of three isogenic cell lines derived from primary fibroblasts in a serial manner (Hahn et al., 1999). EH cell is immortalized by overexpression of telomerase (hTERT), and exhibits normal fibroblast morphology. EL cell expresses hTERT along with both large and small T antigens of Simian virus 40, and it displays an altered morphology but is not transformed. ELR cell expresses hTERT, T antigens, and an oncogenic derivative of Ras (H-RasV12). Overall design: Ribosome profiling and RNA sequencing in two cancer cell models
Many lncRNAs, 5'UTRs, and pseudogenes are translated and some are likely to express functional proteins.
No sample metadata fields
View SamplesThe retinal pigment epithelium (RPE) is a polarized cell layer that is critical for photoreceptor function and survival. Its unique relationship to the photoreceptors and its specific physiology makes the RPE a critical determinant of human vision. Therefore we performed global expression profiling of native and cultured human fetal and adult RPE and determined a unique set of highly-expressed genes (called the signature set) by comparing the observed RPE gene profiles to the Novartis expression database (SymAtlas: http://wombat.gnf.org/index.html) of 78 tissues.
Transcriptome analysis and molecular signature of human retinal pigment epithelium.
Specimen part, Cell line
View SamplesPeripheral whole blood transcriptome profiles of pregnant women with normal pregnancy and preeclampsia from 10-18 weeks of gestational age enrolled in the Vitamin D Antenatal Asthma Reduction Trial (VDAART).
Early pregnancy vitamin D status and risk of preeclampsia.
Sex, Race
View SamplesBackground: The first step in SARS-CoV-2 infection is binding of the virus to angiotensin converting enzyme 2 (ACE2) on the airway epithelium. Asthma affects over 300 million people world-wide, many of whom may encounter SARS-CoV-2. Epidemiologic data suggests that asthmatics who get infected may be at increased risk of more severe disease. Our objective was to assess whether maintenance inhaled corticosteroids (ICS), a major treatment for asthma, is associated with airway ACE2 expression in asthmatics.
Up-regulation of ACE2, the SARS-CoV-2 receptor, in asthmatics on maintenance inhaled corticosteroids.
Specimen part, Treatment
View SamplesHow secondary CD4 T cell effectors, derived from resting memory cells, differ from primary cells, derived from nave precursors, and how such differences impact recall responses to pathogens is unknown.
Memory CD4+ T-cell-mediated protection depends on secondary effectors that are distinct from and superior to primary effectors.
Specimen part
View SamplesWe performed RNA-seq to examine RNA expression profiles during MCF10A-ER-Src cell transformation and upon knockdowns of transcription factors Overall design: RNA-seq before and after MCF10A-ER-Src cell transformation, and RNA-seq upon factor knockdowns after inducing cell transformation
Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation.
Specimen part, Subject
View Samples