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SRP096175
Mus musculus
12 Downloadable Samples
Illumina HiSeq 2500
Description
A comparison of the mRNAs analysis in lactation mammary myoepithelial cells (GFP+/GFP-) and brown adipocytes (GFP+) from Myf5-Cre-ROSAmTmG and Ucp1-iCre-ROSAmTmG mice. Results provide the gene expression signature in the brown origin (UCP1/Myf5-positive) myoepithelial cells in vivo. Overall design: Mammary myoepithelial cells and brown adipocytes were isolated by FACS sorting based on the cell surface markers and total RNA were immediately. GFP+ mammary myoepithelial cells (Lin-:CD24+:CD29hi) from lactation day 10 Myf5-Cre-ROSAmTmG mice (n=2). GFP- mammary myoepithelial cells (Lin-:CD24+:CD29hi) from lactation day 10 Myf5-Cre-ROSAmTmG mice (n=2). GFP+ mammary myoepithelial cells (Lin-:CD24+:CD29hi) from lactation day 10 Ucp1-iCre-ROSAmTmG mice (n=2). GFP- mammary myoepithelial cells (Lin-:CD24+:CD29hi) from lactation day 10 Ucp1-iCre-ROSAmTmG mice (n=2). GFP+ brown adipocytes from 8-week old female Myf5-Cre-ROSAmTmG mice (n=2). GFP+ brown adipocytes from 8-week old female Ucp1-iCre-ROSAmTmG mice (n=2).
Publication Title
Brown adipocytes can display a mammary basal myoepithelial cell phenotype in vivo.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 320 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
New measures are needed to predict type 1 diabetes disease trajectory. We have developed a sensitive array-based bioassay whereby patient plasma is used to induce transcription in healthy reporter leukocytes. Here we report a refined gene ontology-based inflammatory index (I.I.359) that is based upon expression levels of 359 transcripts identified in cross-sectional studies of new onset Type 1 diabetes patients and controls, where higher scores reflect greater inflammatory bias. We examined the relationship between I.I.359 measured at onset and the post-onset disease course in local patients as well as participants of the TrialNet CTLA4-Ig trial. In untreated patients, I.I.359 at baseline was highly variable and exhibited a significant inverse relationship with stimulated C-peptide AUC at 3, 6, 12, 18 and 24 months post-onset. Further, duration of the post-onset partial remission was negatively related to baseline I.I.359 and positively associated with the peripheral abundance of activated regulatory T cells (CD4+/CD45RA-/FoxP3high).
Publication Title
Innate immune activity as a predictor of persistent insulin secretion and association with responsiveness to CTLA4-Ig treatment in recent-onset type 1 diabetes.
Sample Metadata Fields
Cell line, Time
View Samples- Mus musculus
- 95 Downloadable Samples
- NextSeq 500
Description
Purpose: Obesity is a global health issue. To investigate if protein and fat contents of the diets had effects on energy balance via the canonical hunger signaling pathways in the hypothalamus, RNAseq was performed on RNA extracted from the hypothalami of mice exposed to the different diets. A suggested mechanism by which animals may avoid obesity is by burning off excess energy via upregulation of white adipose tissue (WAT) browning. To investigate if protein and fat content of the diet had effects on energy balance via the browning related signaling pathways in the WAT, RNAseq was performed on RNA extracted from the subcutaneous WAT (sWAT) and epididymal WAT (eWAT) of mice exposed to the different diets. Methods: C57BL/6 male mice were used in this work. All mice were fed a standard diet with 10% fat and 20% protein (D12450B, Research Diets Ltd) for 2 weeks as the baseline period. Following 2 weeks of baseline monitoring (at age 12 weeks), all mice were randomly allocated to different groups and switched to the experimental diets for 12 weeks. After 12 weeks all mice were sacrificed and dissected. Methods: In total, mice were fed on 4 diet series, each series consisting of 6 different diets (total = 24 diets). In the first two series (Series 1: D14071601–D14071606 and series 2: D14071607 – D14071612) we fixed the level of fat by energy, and varied the protein content. The protein source was casein. The balance was made up by carbohydrate (roughly equal mix of corn starch and maltodextrose). The source of fat was a mix of cocoa butter, coconut oil, menhaden oil, palm oil and sunflower oil. This mix was designed to match the balance of saturated, mono-unsaturated and polyunsaturated fats (ratio 47.5: 36.8: 15.8) and the n-6: n-3 ratio (14.7: 1) in the typical western diet. The proportions of the different fat constituents and hence fatty acid distributions did not change as the total fat content changed. Sucrose and cellulose were both fixed 5% by energy and weight respectively, and all diets were supplemented with a standard vitamin and mineral mix. In the second two series of diets (series 3: D14071613 – D14071618 and series 4: D14071619 – D14071624) we fixed the level of protein by energy and then allowed the fat content to vary. In these diets the sucrose, cellulose and vitamin and mineral contents were the same as the diets in series 1 and 2. All these diets can be ordered direct from research diets (www.researchdiets.com) using the diet codes provided. Methods: From each diet group, the hypothalami of 8/20 individuals were collected. The left halves of two, and the right halves of another two, were pooled together as one sample, and the same was performed with the other 4 hypothalami, resulting in each diet group having 2 pooled samples of 4 hypothalami (n = 48 samples in total across 24 diets). From each diet group, the sWAT and eWAT of 12/20 individuals were also collected. A small piece from each of six sWAT collections were pooled together as one sample, and the same was performed with the other six eWAT collections. In this way each diet group had one pooled sWAT sample and one pooled eWAT sample (also n = 48 across 24 diets). Methods: The total RNA of the hypothalamus and WAT was isolated using the RNeasy Mini Kit (QIAGEN, 74104) according to manufacturer''s protocol. All sequencing was carried out using the Illumina NextSeq 500 sequencer. RNA fragments were sequenced by 75 bp long reads from paired ends (PE 2 x 75 bp, 150 bp per fragment). Quality control checks for raw data FASTQ files were done by using FASTQC (a quality control tool for high throughput sequence data; http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Paired-end reads were mapped to the Mus musculus genome (GRCm38) using Bowtie 2-2.1.0, TopHat-2.0.10, and Samtools-0.1.19; uniquely mapped reads for each gene were counted against the GTF file of GRCm38 provided by Ensembl (release 83) using HTSeq-0.6.1p1 using the strand = reverse; after read count data were obtained from the TopHat-HTSeq pipeline, counts per million (CPM) value for each gene was calculated by using the R package 'edgeR' (version 3.12.0, R version 3.2.2) to normalize the count data by the size of the library of each sample. Genes with the CPM value = 1 in at least one of the 24 diets group were retained (Anders et al., 2013). Generalized Linear Modelling (GLM) was applied by R (version 3.2.2). The GLM model used here was: ~p+f+p:f, which regresses gene expression (CPM) against the protein (p) and fat contents (f) of diets, as well as their interaction (p:f). However, when the effect of the interaction was not significant (p value = 0.05), the interaction term was dropped and a revised model (~p+f) was utilized. Results: With TopHat-HTSeq pipeline, reads of each sample were mapped to 46,078 genes. In hypothalamus there were 15,371 genes with the counts per million (CPM) value = 1 in at least one of the 24 diets group; in white adipose tissue there were 18,202 genes with the CPM value = 1 in at least one of the 24 diets group. No major changes in hypothalamic gene expression levels were found in relation to different dietary protein levels at fixed fat contents, however hypothalamic gene expression showed increase in expression of genes in reward pathways in relation to dietary fat, while Agrp and Npy were both downregulated in relation to dietary fat levels. WAT gene expression showed decrease in expression of general thermogenic related genes and WAT browning related genes in relation to both dietary protein and dietary fat, while Tgfb1, Pdk4 and Fgf1 were all upregulated in relation to dietary fat levels. Conclusions: Significant positive associations were evident between the fat levels of the diet and the main hedonic signaling systems linked to food intake. Significant negative associations were found between both protein and fat levels of the diet and WAT browning or general thermogenic signalings linked to energy expenditure. Overall design: In total 96 samples are analyzed. From each diet group, the hypothalami of 8/20 individuals were collected. The left halves of two, and the right halves of another two, were pooled together as one sample, and the same was performed with the other 4 hypothalami, resulting in each diet group having 2 pooled samples of 4 hypothalami (n = 48 samples in total across 24 diets). From each diet group, the sWAT and eWAT of 12/20 individuals were also collected. A small piece from each of six sWAT collections were pooled together as one sample, and the same was performed with the other six eWAT collections. In this way each diet group had one pooled sWAT sample and one pooled eWAT sample (also n = 48 across 24 diets)
Publication Title
Dietary Fat, but Not Protein or Carbohydrate, Regulates Energy Intake and Causes Adiposity in Mice.
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 693 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines.
Sample Metadata Fields
Sex, Age, Race, Subject
View Samples- Homo sapiens
- 621 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
The objective of this study is to: 1) Characterize the immune responsiveness to administration of non-live vaccines in three cohorts of healthy adult subjects through the analysis of blood leukocytes transcriptional profiles. 2) Validate whole blood transcriptional profiles generated from standard 3mL blood draws versus 200uL blood draws obtained by finger stick. 3) Discover potential biomarkers for immune-responsiveness to non-live vaccines.
Publication Title
Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines.
Sample Metadata Fields
Sex, Age, Race, Subject
View Samples- Homo sapiens
- 72 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
The objective of this study is to: 1) Characterize the cellular origin of transciptional signatures observed on day 1 after vaccination with 2009/10 seasonal influenza and pneumococcal vaccine discovered by transcriptional profiling of whole blood samples in data set WholeBlood_SysVax. 2) Discover potential biomarkers for immune-responsiveness to non-live vaccines.
Publication Title
Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines.
Sample Metadata Fields
Sex, Age, Race, Subject
View Samples- Homo sapiens
- 112 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Despite known age-related DNA methylation (aDNAm) changes in breast tumors, little is known about aDNAm in normal breast tissues. Breast tissues from a cross-sectional study of 121 cancer-free women, were assayed for genome-wide DNA methylation. mRNA expression was assayed by microarray technology. Analysis of covariance was used to identify aDNAms. Altered methylation was correlated with expression of the corresponding gene and with DNA methyltransferase protein DNMT3A, assayed by immunohistochemistry. Publically-available TCGA data were used for replication. 1,214 aDNAms were identified; 97% with increased methylation, and all on autosomes. Sites with increased methylation were predominantly in CpG lslands and non-enhancers. aDNAms with decreased methylation were generally located in intergenic regions, non-CpG Islands, and enhancers. Of the aDNAms identified, 650 are known to be involved in cancer, including ESR1 and beta-estradiol responsive genes. Expression of DNMT3A was positively associated with age. Two aDNAms showed significant associations with DNMT3A expression; KRR1 (OR 6.57, 95% CI: 2.51-17.23) and DHRS12 (OR 6.08, 95% CI: 2.33-15.86). A subset of aDNAms co-localized within vulnerable regions for somatic mutations in breast cancer. Expression of C19orf48 was inversely and significantly correlated with its methylation level. In the TCGA dataset, 84% and 64% of the previously identified aDNAms were correlated with age in both normal-adjacent and tumor breast tissues, with differential associations by histological subtype. Given the similarity of findings in the breast tissues of healthy women and breast tumors, and the effects on gene expression, aDNAms may be one pathway for increased breast cancer risk with age.
Publication Title
Landscape of genome-wide age-related DNA methylation in breast tissue.
Sample Metadata Fields
Age, Race
View Samples- Homo sapiens
- 78 Downloadable Samples
- NextSeq 500
Description
Slow-cycling subpopulations exist in bacteria, yeast, and mammalian systems. In the case of cancer, slow-cycling subpopulations have been proposed to give rise to drug resistance. However, the origin of slow-cycling human cells is poorly studied, in large part due to lack of markers to identify these rare cells. Slow-cycling cells pass through a non-cycling period marked by low CDK2 activity and high p21 levels. Here, we use this knowledge to isolate these naturally slow-cycling cells from a heterogeneous population and perform RNA-sequencing to delineate the transcriptome underlying the slow-cycling state. We show that cellular stress responses – the p53 transcriptional response and the integrated stress response – are the most salient causes of spontaneous entry into the slow-cycling state. Overall design: mRNA profiling of spontaneously quiescent human cells and cells forced into quiescence by four different methods
Publication Title
Spontaneously slow-cycling subpopulations of human cells originate from activation of stress-response pathways.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Laser capture microdissection coupled with microarray genes expression analysis were utilized in order to elucidate the regulatory networks active in epithelial cells of the neonatal and adult mouse uterus.
Publication Title
Cell-specific transcriptional profiling reveals candidate mechanisms regulating development and function of uterine epithelia in mice.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
To identify genes differentially expressed in the glandless uterus, whole uteri were collected from control (uterine glands present) and PUGKO (no uterine glands) mice at day of pseudopregnancy (DOPP) 3.5 (day DOPP 0.5= vaginal plug). Microarray analysis identified differentially expressed genes in the glandless uteri of PUGKO mice as compared to control mice.
Publication Title
Cell-specific transcriptional profiling reveals candidate mechanisms regulating development and function of uterine epithelia in mice.
Sample Metadata Fields
Specimen part
View Samples