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To study the role of Hlx in hematopoietic differentiation and tumorigenesis, URE cells were infected with short-hairpin-containing pSIH1-H1-copGFP lentiviral vector (System Biosciences, Mountain View, CA) containing either nucleotide sequences targeting luciferase (shControl) or HLX (shHLX). After 24hrs incubation in Iscove’s modified Dulbecco’s medium (IMDM) containing FBS, mIL-3, mIL-6 and mSCF with lentiviral supernatants in the presence of 8ug/ml polybrene, cells were cultured in fresh medium for several days. Subsequently, GFP+ cells were sorted by FACS and RNA was prepared. URE cells were infected with short-hairpin-containing pSIH1-H1-copGFP lentiviral vector (System Biosciences, Mountain View, CA) containing either nucleotide sequences targeting luciferase (shControl) or HLX (shHLX). After 24hrs incubation in Iscove’s modified Dulbecco’s medium (IMDM) containing FBS, mIL-3, mIL-6 and mSCF with lentiviral supernatants in the presence of 8ug/ml polybrene, cells were cultured in fresh medium for several days. Subsequently, GFP+ cells were sorted by FACS and RNA was prepared. Three replicates of each, shControl and shHLX-transduced cells were used. The goal was to study the role of Hlx in hematopoietic differentiation and tumorigenesis.
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High throughput sequencing is a powerful tool to investigate complex cellular phenotypes in functional genomics studies. Sequencing of transcriptional molecules, RNA-seq, has recently become an attractive method of choice in the studies of transcriptomes, promising several advantages compared to traditional expression analysis based on microarrays. In this study, we sought to assess the contribution of the different analytical steps involved in analysis of RNA-seq data and to cross-compare the results with those obtained through a microarray platform. We used the well-characterized Saccharomyces cervevisiae strain CEN.PK 113-7D grown under two different physiological conditions (batch and chemostat) as a case study. In our work, we addressed the influence of genetic variability on the estimation of gene expression level using three different aligners for read-mapping (Gsnap, Stampy and Tophat), the capabilities of five different statistical methods to detect differential gene expression (baySeq, Cuffdiff, DESeq, edgeR and noiSeq) and we explored the consistency between the two main approaches for RNA-seq: reference mapping and de novo assembly. High reproducibility in data generated through RNA-seq among different biological replicates (correlation ≥ 0.99) and high consistency with the results identified with RNA-seq and microarray data analysis (correlation ≥ 0.91) were observed. The results from differential gene expression identification as well as the results of integrated analysis based on the different methods are in good agreement. Overall, our study provides a useful and comprehensive comparison of the workflow for transcriptome analysis using RNA-seq technique. Microarray ananlysis were perfomed from the same RNA extraction then compare the result with RNA-seq analysis
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The cellular composition of heterogeneous samples can be predicted from reference gene expression profiles that represent the homogeneous, constituent populations of the heterogeneous samples. However, existing methods fail when the reference profiles are not representative of the constituent populations. We developed PERT, a new probabilistic expression deconvolution method, to address this limitation. PERT was used to deconvolve cellular composition of variably sourced and treated heterogeneous human blood samples. Our results indicate that even after correcting batch effects, cells presenting the same cell surface antigens display different transcriptional programs when they are uncultured versus culture-derived. Given gene expression profiles of culture-derived heterogeneous samples and profiles of uncultured reference populations, PERT was able to accurately recover proportions of pure populations composing the heterogeneous samples. We anticipate that PERT will be widely applicable to expression deconvolution problems using profiles from reference populations that vary from the corresponding constituent populations in cellular state but not cellular identity. Gene expression microarray to examine transcriptome variations between uncultured and culture-deried blood cells of the same phenotype as defined by the on and off expression of antigens. Fresh human umbilical cord blood-derived and serum free culture-derived colony-forming unit-monocytes (CFU-M) and megakaryocytes (MEGA) were compared respectively
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This SuperSeries is composed of the following subset Series: GSE40829: Expression profiles of lineage-depleted (Lin-) cell and mono-nucleated cell (MNC) samples derived from human umbilical cord blood GSE40830: Expression analysis of uncultured and culture-derived colony forming unit-monocytes and megakaryocytes Refer to individual Series
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This SuperSeries is composed of the following subset Series: GSE40726: Transcriptional profiling of IRF4 -/- vs IRF4 +/- T-cells under Th17 polarizing conditions GSE40727: ChIPseq analysis of IRF4 and BATF in immune cells Refer to individual Series
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The normally virulent type-I RH parasite is rendered avirulent when lacking ROP5. The avirulent phenotype is a consequence of interaction with the host innate immune system. We sought to understand if ROP5 alters host gene expression in order to escape host defenses. We saw no gene expression differences between host cells infected with wt (RH∆ku80) or RH∆ku80∆rop5 parasites. We have included uninfected HFF samples that were harvested in parallel with the infected samples. Host gene expression in response to infection with Toxoplasma gondii. Two independent samples per sample type. Three sample types: HFF infected with RH∆ku80, HFF infected with RH∆ku80∆rop5, and uninfected HFF.
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Transcriptional profiling of T-cells isolated from spleen of IRF4 -/- mice and cultured under Th17 polarizing conditions for 42 hrs compared to cells similarly isolated and cultured from spleen of IRF4 +/- mice. The aim of the study was to identify global misexpression of genes in IRF4 -/- cells and hence identify key pathways regulated by IRF4 during Th17 differentiation. Two-condition experiment, IRF4 -/- vs IRF4 +/- Th17 cells at 42hrs. Biological replicates: 3 for each condition
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Growth factor signaling and angiogenesis may promote endocrine-resistance in breast cancer and blocking these pathways can overcome resistance in preclinical models. We conducted a phase-II study of adding the VEGFR/Ras/Raf/MAPK inhibitor sorafenib to endocrine therapy in metastatic ER-positive breast cancer, either upon progression or after maximal response with measurable residual disease. Tumor biopsies and serum were collected on days 1 and 28. Primary endpoint was response by RECIST after 3 months and secondary endpoints included safety, time to progression (TTP), and biomarker assessment. Planned sample size was 43 patients but the study closed after 11 patients because of slow accrual. 8 patients had progressive disease (PD) on entry and 3 had stable disease (SD). One patient with SD discontinued sorafenib after 2-weeks because of grade 3 rash. Of the 10 remaining patients after adding sorafenib, 7 had SD (70%), 3 had PD (30%) and median TTP was 6.1-months. Of the 8 patients who entered the study with PD on endocrine therapy, 5 converted to SD (62%) with a median TTP of 6.4-months. Notably, patients on tamoxifen had a median TTP of 8.4-months. The most common adverse events were hypophosphatemia, hypokalemia, and rash, and the majority were grade 1&2 with no grade 4 toxicities. There was a significant reduction in serum VEGFR2 and PDGFR-α on day-28 (p-values 0.0035 and 0.017, respectively). Both serum VEGF and sVEGFR-1 were increased on day-28, but the differences were not statistically significant (p-values 0.3223 and 0.084, respectively). Microarray analysis identified 32 suppressed genes with an FDR of <0.20 and at least a 2-fold change with no induced genes and 29 KEGG pathways were enriched on day-28. Our study suggests that sorafenib can restore endocrine sensitivity, particularly tamoxifen, and this strategy of adding novel agents in patients progressing on endocrine therapy should be examined in future trials. This was a single-institution, phase II study of adding sorafenib to existing endocrine therapy. On study entry, eligible patients underwent serum sample collection and core biopsy of accessible disease (if applicable) on endocrine therapy and prior to starting sorafenib. Serum and a second biopsy were then collected on day 28. Sorafenib dose was 400mg orally twice daily along with continuing the same endocrine agent. Patients were followed monthly for clinical and toxicity evaluation. Disease response by RECIST criteria was assessed after 3 months by appropriate scans and these were obtained every 2 months thereafter until progression. Sorafenib and the endocrine agent were continued until disease progression or unacceptable toxicity
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The cellular composition of heterogeneous samples can be predicted from reference gene expression profiles that represent the homogeneous, constituent populations of the heterogeneous samples. However, existing methods fail when the reference profiles are not representative of the constituent populations. We developed PERT, a new probabilistic expression deconvolution method, to address this limitation. PERT was used to deconvolve cellular composition of variably sourced and treated heterogeneous human blood samples. Our results indicate that even after correcting batch effects, cells presenting the same cell surface antigens display different transcriptional programs when they are uncultured versus culture-derived. Given gene expression profiles of culture-derived heterogeneous samples and profiles of uncultured reference populations, PERT was able to accurately recover proportions of pure populations composing the heterogeneous samples. We anticipate that PERT will be widely applicable to expression deconvolution problems using profiles from reference populations that vary from the corresponding constituent populations in cellular state but not cellular identity. Human umbilical cord blood-derived lineage negative cells and mononucleated cells Cellular compositions of mononucleated cell and lineage negative cell compartments were deconvolved based on the gene expression profiles
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We have generated transgenic mice with tetracycline-regulated conditional expression of a constitutively active allele of FoxO3 under the control of the forebrain-specific CaMKIIa promoter. In adult animals, there was a reduction of brain weight by 30% and an almost complete loss of the dorsal dentate gyrus with normal cortical layering. Interestingly, the adult mice showed motor hyperactivity and a selective loss of long-term memory with normal spatial learning. We observed enhanced apoptosis starting from day E10.5. Performing microarray expression analyses and Q-PCR validation with E12.5 forebrain RNA, we observed an over-representation of thalamic markers and an under-representation of cortical markers in transgenic as compared to control animals. Immunohistochemical data show a loss of progenitors in the lateral ventricles. Up-regulation of Pik3ip1 as a target gene of FoxO3 could be responsible for the observed increase in apoptosis. The obtained forebrain expression signature is reminiscent of a Pax6 knockdown phenotype showing that expression of this FoxO3 allele during development affected neural progenitor survival and overall brain development. Conclusion: Neural progenitors are vulnerable to constitutively active FoxO3-induced apoptosis. We sought to determine the transcriptional differences in forebrains from E12.5 mice expressing a constitutively active alleleof FoxO3 under the control of the forebrain-specific CaMKIIa promoter. To this end two time-pregnant dams were sacrificed 12 days after the vaginal plug was detected, and the embryos were prepared. Visual staging of the embryos confirmed their age. Genotyping and luciferase measurements were performed in order to assess presence and acitivity of the transgenes.
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