Quantitative Analysis of Wild Type and CTGF-/- Retinal Transcriptomes During Postnatal Vascular Development
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA612322 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11297528_1.fastq.gz | Fastqsanger.gz | |||
| SRR11297528_2.fastq.gz | Fastqsanger.gz | |||
| SRR11297529_1.fastq.gz | Fastqsanger.gz | |||
| SRR11297529_2.fastq.gz | Fastqsanger.gz | |||
| SRR11297530_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
Similar Datasets
Project description:Purpose: The goal of this study is to compare the retinal transcriptomes of wild-type and CTGF-/- mice during postnatal development of the retinal vasculature. Results: The results from principal component analysis (PCA) showed a distinguishable gene expression profiling among the samples. The expression level (FPKM value) of known genes and transcripts were calculated using ballgown through the transcript abundances estimated with StringTie. The number of identified genes and transcripts per group was calculated based on the mean of FPKM in group > 0.5. We have identified 24,818 transcripts for 12946 gene count in WT mouse retinas and 24708 transcripts for 12852 gene count in knockout mouse retinas. The significantly enriched GO terms of the differentially expressed genes include those involved in protein, lipid and DNA metabolism, neurogenesis and signal transduction and gene regulation.
2020-03-13 | GSE146900 | GEO
Project description:Retinal microvascularization can provide important informations to systemic vascular phenomena. The non-invasive quantitative description of the retinal vascularization is now possible by performing OCT-angiography and their image analysis software (vascular density and retinal perfusion). Systemic microvacular changes during the establishment of oncological treatment by targeted antiangiogenic therapy are little described in the literature. The objective of this pilot study is to describe the evolution of the retinal vascular density of patients with antiangiogenic drugs. In addition, the evolution of the retinal vascular density of patients on antiangiogenic drugs will study as a function of the response to the treatment and the toxicity of these treatments.
| 2382594 | ecrin-mdr-crc
Project description:Angiogenesis, a process mediating the expansion of vascular beds in many physiological and pathological settings, requires dynamic changes in endothelial cell (EC) behavior. The molecular mechanisms governing EC activity during different phases of vascular growth, remodeling, maturation, and quiescence remain elusive. Here, we have employed actively translating transcriptome analysis of mouse retinal ECs for the characterization of dynamic gene expression changes during postnatal development and the identification of critical angiogenic factors.
2020-08-28 | E-MTAB-5087 | biostudies-arrayexpress
Project description:Effects of Ischemic Preconditioning, Bevacizumab and Etanercept Ischemia and reperfusion injury provides an acute model of ischemic retinopathy that includes neurodegeneration and VEGF-dependent vascular permeability and is amenable to rapid drug testing. The distinct effects of ischemic preconditioning and bevacizumab demonstrate that the apoptotic and vascular responses to ischemia may be separated and that VEGF expression is not neuroprotective following ischemic-reperfusion. Using transient ischemia followed by reperfusion (IR) to model ischemic retinal disease, this study compares the effects of ischemic preconditioning (IPC) and therapies targeting vascular endothelial growth factor (VEGF) and tumor necrosis factor α (TNFα) on retinal apoptosis, vascular permeability and mRNA biomarker expression. Only the Ischemic Preconditioning (not Bevacizumab and Etanercept treated samples) were hybridized to arrays. Study contains 6 replicates of control and 6 IP treated retinal samples.
2010-05-31 | E-GEOD-20521 | biostudies-arrayexpress
Project description: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. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 16,014 transcripts in the retinas of WT and Nrl−/− mice with BWA workflow and 34,115 transcripts with TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes, and 12 of these were validated with qRT–PCR. RNA-seq data had a linear relationship with qRT–PCR for more than four orders of magnitude and a goodness of fit (R2) of 0.8798. Approximately 10% of the transcripts showed differential expression between the WT and Nrl−/− retina, with a fold change ≥1.5 and p value <0.05. Altered expression of 25 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to retinal function. Data analysis with BWA and TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Retinal mRNA profiles of 21-day old wild type (WT) and Nrl-/- mice were generated by deep sequencing, in triplicate, using Illumina GAIIx.
2011-10-25 | E-GEOD-33141 | biostudies-arrayexpress
Project description:Consistent with clinical observations that posterior uveitis frequently involves the retinal vasculature and recent recognition of vascular heterogeneity, we hypothesized that retinal vascular endothelium was a cell population of unique molecular phenotype. Donor-matched cultures of primary retinal and choroidal endothelial cells from 6 human cadavers were incubated with either Toxoplasma gondii tachyzoites (10:1, parasite:cell) or Escherichia coli lipopolysaccharide (100 ng/mL); control cultures were simultaneously incubated with medium. Gene expression profiling of endothelial cells was performed using oligonucleotide arrays containing probes designed to detect 8747 human transcripts. After normalization, differential gene expression was assessed by the significance analysis of microarrays, with the false discovery rate set at 5 %. For selected genes, differences in level of expression between retinal and choroidal cells were evaluated by real-time RT-PCR. Graphical descriptive analysis demonstrated strong correlation between gene expression of unstimulated retinal and choroidal endothelial cells, but also highlighted distinctly different patterns of expression that were greater than differences noted between donors or between unstimulated and stimulated cells. Overall, 779 of 8,747 transcripts (8.9 %) were differentially represented. Notably, the 330 transcripts that were present at higher levels in retinal cells included a larger percentage of transcripts encoding molecules involved in the immune response. Differential gene expression was confirmed for 12 transcripts by RT-PCR. Retinal and choroidal vascular endothelial cells display distinctive gene expression profiles. Our findings suggest the possibility of treating posterior uveitis by targeting specific interactions between the retinal endothelial cell and an infiltrating leukocyte. Experiment Overall Design: Retinal and choroidal vascular endothelial cells were isolated from both eyes of 6 human cadaver donors. Endothelial cells of each subtype from each donor were separately pooled and cultured. In a first series of experiments (Experiment 1), donor-matched cultures of retinal and choroidal endothelial cells derived from 3 donors were incubated with either T. gondii tachyzoites or medium alone. In a second set of experiments (Experiment 2), cultured retinal and choroidal endothelial cells derived from the other 3 donors were stimulated with LPS or medium alone. Whenever possible, 2 replicate dishes of endothelial cells were subjected to each set of conditions. Subsequent to incubations, mRNA was extracted from a cell lysate prepared from each dish of cells, and cRNA derived from each mRNA preparation was separately hybridized to one oligonucleotide expression array.
2008-06-15 | E-GEOD-7850 | biostudies-arrayexpress
Project description:PURPOSE Diseases that involve choroidal or retinal endothelial vascular cells are leading causes of vision loss: age-related macular degeneration, retinal ischemic vasculopathies and non-infectious posterior uveitis. Proteins differentially expressed by these endothelial cell populations are potential drug targets. We used deep proteomics to define the molecular phenotype of human choroidal and retinal endothelial cells at the protein level. METHODS Choroidal and retinal endothelial cells were separately isolated from 5 human eye pairs by selection on CD31. Total protein was extracted and digested, and peptide fractions were analysed by reverse-phase liquid chromatography tandem mass spectrometry. Peptide sequences were assigned to fragment ion spectra and proteins were inferred using public protein databases. Protein abundance was determined by spectral counting. Protein expression in choroidal versus retinal endothelial cells was compared using edgeR package in R, and annotation enrichment analysis was performed. RESULTS Human choroidal or retinal endothelial cells expressed 5042 non-redundant proteins. Setting the false discovery rate at 5%, 498 proteins (14.4%) of 3454 quantifiable proteins with minimum mean spectral counts of 2.5 were differentially expressed between cell populations. Choroidal and retinal endothelial cells were enriched in angiogenic proteins, and retinal endothelial cells were also enriched in immunologic proteins. CONCLUSIONS This work demonstrates the protein heterogeneity of human choroidal and retinal vascular endothelial cells and provides multiple candidates for further study as novel treatments or drug targets for posterior eye diseases.
2018-03-26 | PXD005972 | Pride
Project description:Angiogenesis, a process mediating the expansion of vascular beds in many physiological and pathological settings, requires dynamic changes in endothelial cell (EC) behavior. The molecular mechanisms governing EC activity during different phases of vascular growth, remodeling, maturation, and quiescence remain elusive. Here, we have employed actively translating transcriptome analysis of mouse retinal ECs for the characterization of dynamic gene expression changes during postnatal development and the identification of critical angiogenic factors. In silico computational analyses of these data enabled the identification of candidate regulators controlling EC behavior at different developmental checkpoints. The detailed characterization of Mafb, one of the identified candidates, established that this transcription factor controls endothelial sprouting in vitro and in vivo. Integrative analysis of RNA-Seq and ChIP-Seq data defined putative direct Mafb targets, which are repressed or activated by the transcriptional regulator. Together, our results identify novel cell-autonomous regulatory mechanisms controlling sprouting angiogenesis.
2017-09-26 | GSE86788 | GEO
Project description:Consistent with clinical observations that posterior uveitis frequently involves the retinal vasculature and recent recognition of vascular heterogeneity, we hypothesized that retinal vascular endothelium was a cell population of unique molecular phenotype. Donor-matched cultures of primary retinal and choroidal endothelial cells from 6 human cadavers were incubated with either Toxoplasma gondii tachyzoites (10:1, parasite:cell) or Escherichia coli lipopolysaccharide (100 ng/mL); control cultures were simultaneously incubated with medium. Gene expression profiling of endothelial cells was performed using oligonucleotide arrays containing probes designed to detect 8747 human transcripts. After normalization, differential gene expression was assessed by the significance analysis of microarrays, with the false discovery rate set at 5 %. For selected genes, differences in level of expression between retinal and choroidal cells were evaluated by real-time RT-PCR. Graphical descriptive analysis demonstrated strong correlation between gene expression of unstimulated retinal and choroidal endothelial cells, but also highlighted distinctly different patterns of expression that were greater than differences noted between donors or between unstimulated and stimulated cells. Overall, 779 of 8,747 transcripts (8.9 %) were differentially represented. Notably, the 330 transcripts that were present at higher levels in retinal cells included a larger percentage of transcripts encoding molecules involved in the immune response. Differential gene expression was confirmed for 12 transcripts by RT-PCR. Retinal and choroidal vascular endothelial cells display distinctive gene expression profiles. Our findings suggest the possibility of treating posterior uveitis by targeting specific interactions between the retinal endothelial cell and an infiltrating leukocyte. Keywords: Cell type comparison, stress response
2007-05-25 | GSE7850 | GEO
Project description: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. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 16,014 transcripts in the retinas of WT and Nrl−/− mice with BWA workflow and 34,115 transcripts with TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes, and 12 of these were validated with qRT–PCR. RNA-seq data had a linear relationship with qRT–PCR for more than four orders of magnitude and a goodness of fit (R2) of 0.8798. Approximately 10% of the transcripts showed differential expression between the WT and Nrl−/− retina, with a fold change ≥1.5 and p value <0.05. Altered expression of 25 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to retinal function. Data analysis with BWA and TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: Our study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2011-10-25 | GSE33141 | GEO