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Mus musculus
22 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Abstract Two major dendritic cell (DC) subsets have been described in the islets of mice: The immunogenic CD8-CD11b+ DCs and the tolerogenic CD8+CD103+ DCs. We have recently reported on reduced numbers of the minor population of tolerogenic CD8+CD103+ DCs in the pancreas of 5 week old pre-diabetic non-obese diabetic (NOD) mice. Aim: To analyze also the larger subset of CD11c+CD8- DCs isolated from the pancreas of pre-diabetic NOD mice 1) for maturation and tolerance inducing molecules found abnormally expressed on CD8+CD103+ DCs, and 2) for genome-wide gene expression to further elucidate abnormalities in underlying gene expression networks. Methods: CD11c+CD8- DCs were isolated from 5 week old C57BL/6 and NOD pancreas. Expression of cell surface markers including CD86, CCR5, CD11b, CD103, Clec9a, CD24 and CD200R3 were measured by FACS. Genome-wide gene expression by microarray was assessed during the steady state and after in vitro LPS stimulation. Results: The steady state pancreatic CD11c+ CD8- DCs during the pre-diabetic stage showed: 1) A reduced expression of several gene networks important for the prime functions of the cell, such as for cell renewal, immune stimulation and immune tolerance induction, for migration and for the provision of growth factors for beta cell regeneration. This general deficiency state was corroborated by a reduced in vivo proliferation (BrdU incorporation) of the cells and the reduced expression in FACS analysis of CD86, CCR5, CD103, Clec9a, CD24 and CD200R3 on the cells. 2) A hyper reactivity of these cells to LPS correlated with an enhanced pro-inflammatory state characterized by altered expression of a number of classical pro-inflammatory factors and cytokines. Conclusion: The NOD CD11c+CD8- DCs seem to be Janus-faced depending on the conditions: Deficient in steady state with reduced immune stimulation capabilities also for tolerance induction; over-inflammatory with a molecular profile suggesting a preferential stimulatory capacity for Th1 cells when encountering a Pathogen-Associated Molecular Pattern (PAMP) in the form of LPS.
Publication Title
The gene expression profile of CD11c+ CD8α- dendritic cells in the pre-diabetic pancreas of the NOD mouse.
Sample Metadata Fields
Sex, Age, Specimen part, Treatment
View Samples- Mus musculus
- 31 Downloadable Samples
Ion Torrent Proton
Description
In this study we demonstrate that the lung mononuclear phagocyte system comprises three interstitial macrophages (IMs), as well as alveolar macrophages (AMs), dendritic cells and few extravascular monocytes. Through cell sorting and RNAseq analysis we were able to identify transcriptional similarities and differences between the three pulmonary IM subtypes, with reference to the more well-characterized alveolar macrophage Overall design: Pulmonary Interstitial and Alveolar macrophages were FACS sorted from the lungs of steady state 8-10 week old B6 mice, in triplicate. Extracted RNA was examined by RNAsequencing. The tar archive GSE94135_jakubzick_2019*tar available at the foot of this page contains the supplementary processed data used for comparisons with data in GSE132911. Data were processed as described in GSE132911.
Publication Title
Three Unique Interstitial Macrophages in the Murine Lung at Steady State.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 18 Downloadable Samples
- Ion Torrent Proton
Description
Macrophages (MF) have been shown to contribute to fibrogenesis, however the underlying mechanisms and specific MF subsets involved remain unclear. Lung MF can be divided into two subsets: Siglec-Fhi resident alveolar MF and CD11bhi MF that primarily arise from immigrating monocytes. RNA-seq analysis was performed to compare these MF subsets during fibrosis. CD11bhi MF, not Siglec-Fhi MF, expressed high levels of pro-fibrotic chemokines and growth factors. Overall design: C56BL/6 WT mice were treated intratracheally with bleomycin. 8 days later, CD64+Mertk+ MF were sorted into Siglec-F(high) and CD11b(high) subsets. SiglecF(high) MF from naïve mice were also sorted. RNA was isolated and RNA-seq was performed to compare MF subsets.
Publication Title
Deletion of c-FLIP from CD11b<sup>hi</sup> Macrophages Prevents Development of Bleomycin-induced Lung Fibrosis.
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 41 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
This study explores the impact of lifestyle and environment on gene expression through whole transcriptome profiling of peripheral blood samples in Fijian population (native Melanesians and Indians) living in the rural and urban areas.
Publication Title
Using blood informative transcripts in geographical genomics: impact of lifestyle on gene expression in fijians.
Sample Metadata Fields
Sex, Age, Specimen part, Subject
View Samples- Drosophila melanogaster
- 12 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Functional genomic analysis of the periodic transcriptome in the developing Drosophila wing.
Sample Metadata Fields
Specimen part
View Samples- Drosophila melanogaster
- 12 Downloadable Samples
Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
The eukaryotic cell cycle, driven by both transcriptional and post-translational mechanisms, is the central molecular oscillator underlying tissue growth throughout animals. While genome-wide studies have investigated cell cycle-associated transcription in unicellular systems, global patterns of periodic transcription in multicellular tissues remain largely unexplored. Here we define the cell cycle-associated transcriptome of the developing Drosophila wing epithelium and compare it with that of cultured Drosophila S2 cells, revealing a core set of periodic genes as well as a surprising degree of context-specificity in periodic transcription. We further employ RNAi-mediated phenotypic profiling to define functional requirements for over 300 periodic genes, with a focus on those required for cell proliferation in vivo. Finally, we investigate the role of novel genes required for interkinetic nuclear migration. Combined, these findings provide a global perspective on cell cycle control in vivo, and highlight a critical need to understand the context-specific regulation of cell proliferation.
Publication Title
Functional genomic analysis of the periodic transcriptome in the developing Drosophila wing.
Sample Metadata Fields
Specimen part
View Samples- Drosophila melanogaster
- 9 Downloadable Samples
- Illumina HiSeq 2500
Description
The eukaryotic cell cycle, driven by both transcriptional and post-translational mechanisms, is the central molecular oscillator underlying tissue growth throughout animals. While genome-wide studies have investigated cell cycle-associated transcription in unicellular systems, global patterns of periodic transcription in multicellular tissues remain largely unexplored. Here we define the cell cycle-associated transcriptome of the developing Drosophila wing epithelium and compare it with that of cultured Drosophila S2 cells, revealing a core set of periodic genes as well as a surprising degree of context-specificity in periodic transcription. We further employ RNAi-mediated phenotypic profiling to define functional requirements for over 300 periodic genes, with a focus on those required for cell proliferation in vivo. Finally, we investigate the role of novel genes required for interkinetic nuclear migration. Combined, these findings provide a global perspective on cell cycle control in vivo, and highlight a critical need to understand the context-specific regulation of cell proliferation. Two RNAi lines of CR32027, a non-coding RNA gene identified in this study, are examined for transcriptional changes relative to wt. Overall design: Transcriptional profiles of two RNAi knockdowns, CR32027-IR1 and CR32027-IR2, are examined in Drosophila wing pouch relative to OreR wt in triplicate by RNA Seq.
Publication Title
Functional genomic analysis of the periodic transcriptome in the developing Drosophila wing.
Sample Metadata Fields
Subject
View Samples
GSE34512- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This study employed Affymetrix GeneChips to profile transcriptome of human pulmonary microvascular endothelial cells (HMVEC-L) treated with PBEFsiRNA to gain insight into transcriptional regulations of PBEF on the endothelial function. We isolated and labeled mRNAs from PBEF siRNA transfected HMVEC-L and hybridized them to Affymetrix GeneChip HG-U133 plus 2. Differentially expressed genes and canonical pathways were analyzed. Expressions of selected genes were validated by RT-PCR or western blotting. Several important themes are emerged from this study. First, PBEF induces the upregulation and downregulation of multiple genes in the endothelium. Expression of 373 genes were increased and 64 genes decreased by at least 1.3 fold in the PBEFsiRNA treated group compared to the control group of PBEFscRNA treated HMVEC-L. Second, the microarray results confirmed some previous reports of PBEF mediated gene expressions in some pathways but provided a more complete repertoire of molecules in those pathways. Third, most of affected canonical pathways or differentially expressed genes in PBEF siRNA treated HMVEC-L over their controls have not previously been reported to be PBEF-responsive. Our first transcriptome analysis of human pulmonary microvascular endothelial cells treated with PBEFsiRNA has provided important insights into the transcriptional regulation of gene expression in HMVEC-L cells by PBEF. Further in-depth follow-up analysis of the transcriptional regulation reported in this study may shed light on molecular mechanisms underlying PBEF mediated endothelial functions and dysfunctions in the physiology and the pathogenesis of inflammatory conditions, cancer, diabetes, coronary heart disease and provide new leads of therapeutic targets to those diseases.
Publication Title
Pleiotropic functions of pre-B-cell colony-enhancing factor (PBEF) revealed by transcriptomics of human pulmonary microvascular endothelial cells treated with PBEFsiRNA.
Sample Metadata Fields
Specimen part
View Samples- Glycine max
- 54 Downloadable Samples
- Affymetrix Soybean Genome Array (soybean)
Description
Soybean is a rich source of protein and oil and a primary feedstock for biodiesel production. Previous research on soybean indicated that protein, oil and yield are controlled quantitatively in soybean seeds. However, genetic mechanisms controlling seed composition and yield in soybean remain unknown. We used Affymetrix Soybean GeneChips to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean varieties, which differ in seed weight, yield, protein content and oil content. Some of the differentially expressed genes identified in this study may play important roles in controlling these traits.
Publication Title
Identification of differentially expressed genes between developing seeds of different soybean cultivars.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 35 Downloadable Samples
- IlluminaHiSeq2000
Description
Background: Personalized medicine is predicated on the notion that individual biochemical and genomic profiles are relatively constant in times of good health and to some extent predictive of disease or therapeutic response. We report a pilot study quantifying gene expression and methylation profile consistency over time, addressing the reasons for individual uniqueness, and its relation to N=1 phenotypes. Methods: Whole blood samples from 4 African American women, 4 Caucasian women, and 4 Caucasian men drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays. Standard regression approaches were used to evaluate the proportion of variance for each type of omic measure that is among individuals, and to quantify correlations among measures and with clinical attributes related to wellness. Results: Longitudinal omic profiles are in general highly consistent over time, with an average of 67% of the variance in transcript abundance, 42% of CpG methylation level (but 88% for the most differentiated CpG per gene), and 50% of miRNA abundance among individuals, which are all comparable to 74% of the variance among individuals for 74 clinical traits. One third of the variance can be attributed to differential blood cell type abundance, which is also fairly stable over time, and a lesser amount to eQTL effects, whereas seven conserved axes of covariance that capture diverse aspects of immune function explain over half of the variance. These axes also explain a considerable proportion of individually extreme transcript abundance, namely approximately 100 genes that are significantly up- or down-regulated in each person and are in some cases enriched for relevant gene activities that plausibly associate with clinical attributes. A similar fraction of genes have individually divergent methylation levels, but these do not overlap with the transcripts, and fewer than 20% of genes have significantly correlated methylation and gene expression. Conclusions: People express an “omic personality” consisting of peripheral blood transcriptional and epigenetic profiles that are constant over the course of a year and reflect various types of immune activity. Baseline genomic profiles can provide a window into the molecular basis of traits that might be useful for explaining medical conditions or guiding personalized health decisions. Overall design: Whole blood samples from 12 subjects drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays.
Publication Title
Omic personality: implications of stable transcript and methylation profiles for personalized medicine.
Sample Metadata Fields
No sample metadata fields
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