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SRP194050
Mus musculus
4 Downloadable Samples
Illumina HiSeq 2500
Description
gene expression study on brain and lung under Dip2a regulation to better understand the role of Dip2a gene during mice brain and lung development.
Publication Title
Large genomic fragment deletions and insertions in mouse using CRISPR/Cas9.
Sample Metadata Fields
Sex, Specimen part, Cell line
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- Staphylococcus aureus
- 15 Downloadable Samples
Affymetrix S. aureus Genome Array (saureus)
Description
In the present study, we employed Affymetrix Staphylococcus aureus GeneChip arrays to investigate the dynamics of global gene expression profiles during the cellular response of Staphylococcus aureus to Ortho-Phenylphenol, which involved initial growth inhibition and metabolism.
Publication Title
Microarray analysis of toxicogenomic effects of ortho-phenylphenol in Staphylococcus aureus.
Sample Metadata Fields
No sample metadata fields
View Samples- Staphylococcus aureus
- 15 Downloadable Samples
- Affymetrix S. aureus Genome Array (saureus)
Description
In the present study, we employed Affymetrix Staphylococcus aureus GeneChip arrays to investigate the dynamics of global gene expression profiles during the cellular response of Staphylococcus aureus to triclosan, which involved initial growth inhibition and metabolism.
Publication Title
Microarray analysis of toxicogenomic effects of triclosan on Staphylococcus aureus.
Sample Metadata Fields
No sample metadata fields
View Samples- Pseudomonas aeruginosa
- 12 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
In the present study, we employed Affymetrix Pseudomonas aeruginosa GeneChip arrays to investigate the dynamics of global gene expression profiles during the cellular response of Pseudomonas aeruginosa to ortho-phenylphenol, which involved initial growth inhibition and metabolism.
Publication Title
Toxicogenomic response of Pseudomonas aeruginosa to ortho-phenylphenol.
Sample Metadata Fields
No sample metadata fields
View Samples- Pseudomonas aeruginosa
- 9 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
In the present study, we employed Affymetrix Pseudomonas aeruginosa GeneChip arrays to investigate the dynamics of global gene expression profiles during the cellular response of Pseudomonas aeruginosa to Chlorhexidine diacetate, which involved initial growth inhibition and metabolism.
Publication Title
Global transcriptomic response of Pseudomonas aeruginosa to chlorhexidine diacetate.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 48 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The liver circadian clock is reprogrammed by nutritional challenge through the rewiring of specific transcriptional pathways. As the gut microbiota is tightly connected to host metabolism, whose coordination is governed by the circadian clock, we explored whether gut microbes influence circadian homeostasis and how they distally control the peripheral clock in the liver. Using fecal transplant procedures we reveal that, in response to high fat diet, the gut microbiota drives PPAR-mediated activation of newly oscillatory transcriptional programs in the liver. Moreover, antibiotics treatment prevents PPAR-driven transcription in the liver, underscoring the essential role of gut microbes in clock reprogramming and hepatic circadian homeostasis. Thus, a specific molecular signature characterizes the influence of the gut microbiome in the liver, leading to the transcriptional rewiring of hepatic metabolism.
Publication Title
Gut microbiota directs PPARγ-driven reprogramming of the liver circadian clock by nutritional challenge.
Sample Metadata Fields
Specimen part
View Samples- Arabidopsis thaliana
- 6 Downloadable Samples
- Illumina HiSeq 1500
Description
The goal of this study was to compare the transcriptional profile (RNA-seq) of imbibed Arabidopsis thaliana Columbia-0 ecotype seeds that were treated with a 20 min red or far red pulse. The red-light pulse induces germination. Overall design: Col-0 seeds were sown in clear plastic boxes, each containing 10 mL of 0.8 % (w/v) agar in demineralized water. To establish a minimum and equal photo-equilibrium, seeds were imbibed for 2 hours in darkness and then irradiated for 20 min with a saturated far-red pulse (FRp, calculated Pfr/P= 0.03, 42 µmol.m-2.s-1) in order to minimize the quantities of Pfr formed during their development in the mother plant. Seeds were then stratified at 5 °C in darkness for 3 days, prior to the 20 minutes with a saturated red pulse (Rp, calculated Pfr/P= 0.87, 0.05 µmol.m-2.s-1) or FRp. Three biological replicates of each condition were collected 12 hours after the corresponding R and FR light pulses.
Publication Title
Alternative Splicing Regulation During Light-Induced Germination of <i>Arabidopsis thaliana</i> Seeds.
Sample Metadata Fields
Subject
View Samples- Mus musculus
- 72 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The circadian clock orchestrates rhythms in physiology and behavior, allowing the organism to adapt to daily environmental changes. Recently, efforts have been made to unravel the connection between the circadian clock and metabolism and to understand how the peripheral clock in different organs coordinates circadian responses to maintain metabolic homeostasis. It is becoming clear that diet can influence diurnal rhythms, however, the molecular mechanisms responsible for alterations in daily oscillations and how tissue-specific clocks interpret a nutritional challenge are not well understood. Here, we reveal tissue-specific circadian plasticity in response to a ketogenic diet (KD) in both the liver and intestine and a remarkable deviation within these two tissues following subsequent carbohydrate supplementation. KD caused a dramatic change in the circadian transcriptome in both liver and intestine in a tissue-specific fashion. In particular, both the amplitude of clock genes as well as specific BMAL1 recruitment was profoundly altered by KD while the intestinal clock was devoid of such plasticity. While PPARG nuclear accumulation was circadian in both tissues, it showed substantial phase specificity as did downstream targets. Finally, the gut and liver clocks had distinct responses to carbohydrate supplementation to KD composition, suggesting a higher plasticity in the ileum whose gene expression was almost restored to control baseline. For the first time our results demonstrate how nutrients modulate clock function in a tissue-specific manner, suggesting that a food stress arouses unique circadian molecular signatures in distinct peripheral tissues.
Publication Title
Distinct Circadian Signatures in Liver and Gut Clocks Revealed by Ketogenic Diet.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 27 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Global gene expression profiling of human iPSC and the iPSC-derived presomitic mesoderm(PSM), somite(SM), and the derivatives, dermomyotome(DM), dermatome(D), myotome(MYO), sclerotome(SCL) and syndetome(SYN).
Publication Title
Modeling human somite development and fibrodysplasia ossificans progressiva with induced pluripotent stem cells.
Sample Metadata Fields
Specimen part, Time
View Samples