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Mus musculus
10 Downloadable Samples
NextSeq 500
Description
N6-methyladenosine (m6A) is the most abundant modification on mRNA, and is implicated in critical roles in development, physiology and disease. A major challenge in the field has been the inability to quantify m6A stoichiometry and the lack of antibody-independent methodologies for interrogating m6A. Here, we develop MASTER-seq for systematic quantitative profiling of m6A at single nucleotide resolution, building on differential cleavage by an RNAse at methylated sites. MASTER-seq permitted validation and de novo discovery of m6A sites, calibration of the performance of antibody based approaches, and quantitative tracking of m6A dynamics in yeast gametogenesis and mammalian differentiation. We discover that m6A stoichiometry is 'hard-coded' in cis via a simple and predictable code. This code accounts for ~50% of the variability in methylation levels and allows accurate prediction of m6A loss/acquisition events across evolution. MASTER-seq will allow quantitative investigation of m6A regulation in diverse cell types and disease states. Overall design: 10 samples were analyzed: EBS WT and Metll3 -/- with two replicates each and ESC WT and Mettld -/- with three replicates
Publication Title
Deciphering the "m<sup>6</sup>A Code" via Antibody-Independent Quantitative Profiling.
Sample Metadata Fields
Specimen part, Subject
View Samples- Saccharomyces cerevisiae
- 8 Downloadable Samples
- NextSeq 500
Description
N6-methyladenosine (m6A) is the most abundant modification on mRNA, and is implicated in critical roles in development, physiology and disease. A major challenge in the field has been the inability to quantify m6A stoichiometry and the lack of antibody-independent methodologies for interrogating m6A. Here, we develop MASTER-seq for systematic quantitative profiling of m6A at single nucleotide resolution, building on differential cleavage by an RNAse at methylated sites. MASTER-seq permitted validation and de novo discovery of m6A sites, calibration of the performance of antibody based approaches, and quantitative tracking of m6A dynamics in yeast gametogenesis and mammalian differentiation. We discover that m6A stoichiometry is 'hard-coded' in cis via a simple and predictable code. This code accounts for ~50% of the variability in methylation levels and allows accurate prediction of m6A loss/acquisition events across evolution. MASTER-seq will allow quantitative investigation of m6A regulation in diverse cell types and disease states. Overall design: 8 samples are analyzed: IP and background for IME4 mutant and WT with 2 biological replicates for each condition
Publication Title
Deciphering the "m<sup>6</sup>A Code" via Antibody-Independent Quantitative Profiling.
Sample Metadata Fields
Cell line, Subject
View Samples- Rattus norvegicus
- 34 Downloadable Samples
- NextSeq 550
Description
Nitrogen mustard (NM) is a vesicant known to target the lung, causing acute injury which progresses to fibrosis. Evidence suggests that activated macrophages contribute to the pathologic response to NM. In these studies, we analyzed the role of lung lipids generated following NM exposure on macrophage activation and phenotype. Treatment of rats with NM (0.125 mg/kg, i.t.) resulted in a time-related increase in enlarged vacuolated macrophages in the lung. At 28 d post exposure, macrophages stained positively for Oil Red O, a marker of neutral lipids. This was correlated with an accumulation of oxidized phospholipids in lung macrophages and epithelial cells, and an increase in bronchoalveolar lavage fluid (BAL) phospholipids. RNA-sequencing analysis revealed that lipid handling pathways under control of the transcription factors LXR, FXR and PPAR-? were significantly altered following NM exposure. Whereas at 1-3 d post NM, FXR and the downstream oxidized low density lipoprotein receptor, Cd36, were increased, Lxr and the lipid extrusion pump targets, Abca1 and Abcg1 were reduced. Treatment of naïve lung macrophages with lipid enriched fractions of BAL collected 3 d after NM resulted in upregulation of Nos2, Apoe and Ptgs2, markers of pro-inflammatory activation, while lipid-enriched BAL collected 28 d post NM upregulated expression of the anti-inflammatory markers, Il10, Cd163, and Cx3cr1, and induced the formation of lipid-laden foamy macrophages. These data suggest that NM-induced alterations in lipid handling and metabolism drive macrophage foam cell formation, potentially contributing to the development of pulmonary fibrosis. Overall design: Alveolar macrophages were collected by gentile message from male wistar rats 1 d or 28 d after intratracheal exposure to NM and from rats intratracheally exposed to PBS. There were three biological replicates per exposure group.
Publication Title
Regulation of Macrophage Foam Cell Formation During Nitrogen Mustard (NM)-Induced Pulmonary Fibrosis by Lung Lipids.
Sample Metadata Fields
Sex, Specimen part, Cell line, Subject
View Samples- Arabidopsis thaliana
- 7 Downloadable Samples
Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
RNA prepared from specialized replum cells within siliques provided targets for profiling the Arabidopsis genome during replum cell development.
Publication Title
Laser capture microdissection of plant cells from tape-transferred paraffin sections promotes recovery of structurally intact RNA for global gene profiling.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Rett syndrome (RTT) is an X-linked dominant neurodevelopmental disorder caused by mutations in MECP2, encoding methyl-CpG binding protein 2. MeCP2 is a transcriptional repressor elevated in mature neurons and is predicted to be required for neuronal maturation by regulating multiple target genes. Identifying primary gene targets in either Mecp2-deficient mice or human RTT brain has proven to be difficult, perhaps because of the transient requirement for MeCP2 during neuronal maturation. In order to experimentally control the timing of MeCP2 expression and deficiency during neuronal maturation, human SH-SY5Y cells undergoing mature neuronal differentiation were transfected with methylated MeCP2 oligonucleotide decoy to disrupt the binding of MeCP2 to endogenous targets. Genome-wide expression microarray analysis identified all four known members of the inhibitors of differentiation or inhibitors of DNA binding (ID1, ID2, ID3 and ID4) subfamily of helix-loop-helix (HLH) genes as novel neuronal targets of MeCP2. Chromatin immunoprecipitation analysis confirmed binding of MeCP2 near or within the promoters of ID1, ID2 and ID3, and quantitative RT-PCR confirmed increased expression of all four Id genes in Mecp2-deficient mouse brain. All four ID proteins were significantly increased in Mecp2-deficient mouse and human RTT brain using immunofluorescence and laser scanning cytometric analyses. Because of their involvement in cell differentiation and neural development, ID genes are ideal primary targets for MeCP2 regulation of neuronal maturation that may explain the molecular pathogenesis of RTT.
Publication Title
Inhibitors of differentiation (ID1, ID2, ID3 and ID4) genes are neuronal targets of MeCP2 that are elevated in Rett syndrome.
Sample Metadata Fields
No sample metadata fields
View Samples
SRP009219- Homo sapiens
- 1 Downloadable Sample
- Illumina Genome Analyzer II
Description
We have applied a new software to analyse a human naive single-chain antibody (scFv) library, comprehensively revealing the diversity of antibody variable complementarity-determining regions (CDRs) and their families.
Publication Title
A novel DNAseq program for enhanced analysis of Illumina GAII data: a case study on antibody complementarity-determining regions.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The zinc finger transcription factor growth-factor-independent-1 (Gfi1) has been involved in various cellular differentiation processes. Gfi1 acts as a transcriptional repressor and splicing control factor upon binding to cognate binding sites in regulatory elements of its target genes. Here, we report that Gfi1-deficient mice develop autoimmunity. Gfi1-deficient peripheral B-cells show a hyperproliferative phenotype, leading to expansion of plasma cells, increased levels of nuclear autoantibodies, and immunoglobulin deposition in brain and kidneys. Dysregulation of multiple transcription factors and cell-cycle control elements may contribute to B-cell dependent autoimmunity. Gfi1 thus emerges as a novel master-regulator restricting autoimmunity.
Publication Title
Transcription factor Gfi1 restricts B cell-mediated autoimmunity.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 29 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background: We hypothesize that important genomic differences between breast cancer subtypes occur early in carcinogenesis. Therefore, gene expression might distinguish histologically normal breast epithelium (NlEpi) from breasts containing estrogen receptor positive (ER+) compared with estrogen receptor negative (ER-) cancers.
Publication Title
Gene expression profiles of estrogen receptor-positive and estrogen receptor-negative breast cancers are detectable in histologically normal breast epithelium.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Rattus norvegicus
- 24 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
The liver is one of most important organs in our bodies. It performs many essential functions including metabolism, synthesis, secretion, detoxification, and storage. Hepatocytes are the principal cell type in the liver and are involved in multiple liver-specific functions. There have been several efforts to develop in vitro culture systems capable of maintaining hepatocyte-specific phenotype over long time periods. In hepatic tissue engineering, two commonly used culture systems are the collagen sandwich and monolayers of cells. In this study, genome-wide gene expression profiles of primary hepatocytes were measured over an 8-day period for each cell culture system using Affymetrix GeneChips and analyzed via Gene Set Enrichment Analysis (GSEA), which is a powerful method to elicit biologically meaningful information from microarray data at the level of gene sets. Results indicate that the gene expression in hepatocytes in collagen sandwich cultures gradually diverges from that in monolayer cultures. Gene sets up-regulated in collagen sandwich cultures include those associated with liver metabolic and synthetic functions. These functions are associated with lipid, amino acid, carbohydrate, and alcohol metabolism and bile acid synthesis. Nuclear receptors are up-regulated in collagen sandwiches 24 hours after seeding. Signals transmitted from these receptors may cause the up-regulation of other processes in subsequent days. Cytochrome-P450 monooxygenase expression was initially down-regulated but exhibited up-regulation after 72 hours. Our results provide a baseline for further explorations into the systems biology of engineered liver mimics as well as 2D and 3D co-cultures of primary hepatocytes and non-parenchymal cells.
Publication Title
A comparative study of genome-wide transcriptional profiles of primary hepatocytes in collagen sandwich and monolayer cultures.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 1 Downloadable Sample
- Affymetrix Human Genome U133A Array (hgu133a)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Expression of microRNA and their gene targets are dysregulated in preinvasive breast cancer.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples