RNA-seq of perirenal fat from male and female Assaf suckling lambs
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina NovaSeq 6000
ORGANISM(S): Ovis aries
SUBMITTER:
PROVIDER: E-MTAB-12130 | biostudies-arrayexpress |
SECONDARY ACCESSION(S): ERP140601
REPOSITORIES: biostudies-arrayexpress
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Project description:Samples of perirenal fat tissue from 8 Assaf breed suckling lambs. These animals were selected from a larger group of 17 Assaf suckling lambs for which carcass traits were measured. The 8 selected lambs were those showing the highest and the lowest values, from the larger group, for the percentage of perirenal and cavitary fat relative to the half carcass weight. Hence, considering the values for this trait, we defined the High-PF group (n = 4; average: 3.23 ± 0,.47) and the Low-PF group (n = 4; 1.65 ± 0,.16), respectively.
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Project description:Metastasis is responsible for the majority of deaths in a variety of cancer types, including breast cancer. Although several factors or biomarkers have been identified to predict the outcome of patients with breast cancer, few studies have been conducted to identify metastasis-associated biomarkers. Quantitative iTRAQ proteomics analysis was used to detect differentially expressed proteins between lymph node metastases and their paired primary tumor tissues from 23 patients with metastatic breast cancer. Immunohistochemistry was performed to validate the expression of two upregulated (EpCAM, FADD) and two downregulated (NDRG1, αB-crystallin) proteins in 190 paraffin-embedded tissue samples. These four proteins were further analyzed for their correlation with clinicopathological features in 190 breast cancer patients. We identified 637 differentially regulated proteins (397 upregulated and 240 downregulated) in lymph node metastases compared with their paired primary tumor tissues. Furthermore, bioinformatics analysis using GEO profiling confirmed the difference in the expression of EpCAM between metastases and primary tumors tissues. Two upregulated (EpCAM, FADD) and two downregulated (NDRG1, αB-crystallin) proteins were associated with the progression of breast cancer. Obviously, EpCAM plays a role in the metastasis of breast cancer cells to the lymph node. We further identified αB-crystallin as an independent biomarker to predict lymph node metastasis and the outcome of breast cancer patients.
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Project description:The link between global reductions in 5-hydroxymethylcytosine levels and cancer is well-known. In this study, we have characterized the extent and the location of 5hmC loss in brain tumors. We performed genome-wide methylation oxBS and BS analyses with the Illumina Infinium HumanMethylation450 BeadChip platform in 5 brain and 9 glioma samples and we measured the extent of 5mC and 5hmC in these normal versus tumoral conditions.
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Project description:In this array series, we have characterized the extent and the location of 5hmC loss in colon cancer. We performed genome-wide methylation oxBS and BS analyses with the Illumina Infinium HumanMethylation450 BeadChip platform in 11 normal colon and 11 matched tumor samples plus 2 colon cancer cell lines, and we measured the extent of 5mC and 5hmC in normal versus tumoral conditions.
2023-12-30 | E-MTAB-6183 | biostudies-arrayexpress
Project description:We investigated the regulation of adipose tissue (AT) gene expression during different phases of a dietary weight loss program and its relationship with insulin sensitivity. Obese women followed a weight reduction program composed of an energy restriction phase (ER) with a 4-week very-low-calorie diet and a weight stabilization period (WS) composed of a 2-month low-calorie diet followed by 3 to 4 months of a weight maintenance diet. At each time point, body composition, plasma parameters and glucose disposal rate were assessed and subcutaneous AT biopsies were performed. Variations in mRNA levels were determined using DNA microarrays and reverse transcription-quantitative PCR. Distinct sets of AT genes are regulated during calorie restriction and weight stabilization revealing an unexpected temporal pattern in the link between AT and insulin sensitivity during weight loss. Experiment Overall Design: Fifteen obese premenopausal women were recruited at the Third Faculty of Medicine of Charles University and at the Institute for Mother and Child Care in Prague, Czech Republic. During the first four weeks of the dietary intervention program, the subjects received an energy restricted diet of 800 kcal/day (liquid formula diet, Redita, Promil). During the next two months, a low-calorie diet was designed to provide 600 kcal/day less than the individually estimated energy requirement based on an initial resting metabolic rate multiplied by 1.3. Following this, subjects entered a weight maintenance phase for a period of 3 to 4 months, during which the patients were instructed to keep their weight stable. A complete clinical investigation in the fasting state was realized before and at the end of each phase. Needle microbiopsy of subcutaneous AT was performed under local anesthesia (1% Xylocaine) from the abdominal region (14â20 cm lateral to the umbilicus). Total RNA were isolated from AT samples with Qiagen RNeasy kit. RNA quantity and quality were checked with the Experion automated electrophoresis system (BioRad laboratories). We performed a whole transcriptome analysis comparing 1) before vs. after the initial 4 weeks severe energy restriction (ER), 2) after energy restriction vs. after weight stabilization (WS) and 3) before dietary intervention vs. after weight stabilization (DI). Eight subjects representative of the cohort were selected, matched for high quality of total RNA samples, insulin sensitivity and weight changes during the study. Targets for microarray experiments were generated from 500 ng of total RNA with Agilent low RNA input amplification kit (Agilent Technologies) and hybridized to whole genome 44k oligonucleotide arrays (Agilent Technologies). Each combination of samples was analyzed twice using a dye swap design (i.e., a total of 48 hybridizations). Data acquisition from microarrays was obtained with a GenePix 4000B scanner (Axon instruments) and image processing was performed with Feature Extraction 8.5 (Agilent Technologies). Raw data were normalized with a global Lowess procedure and filtered with R package LIMMA (Bioconductor). Outlier replicates and spots with a signal to noise ratio lesser than 2 on both red and green channel were eliminated from our analyses. Mean log ratios were calculated from paired duplicates before normalization. Differentially expressed genes were identified with Significance Analysis of Microarray (SAM) procedure.
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Project description:Purpose: To profile the transcriptomes of omental adipose tissues from obese and lean humans. Methods: Omental adipose tissues from obese and lean patients were subjected to RNA-Seq. Results: Differential expression analysis identified 206 dysregulated genes (p-value < 0.05 by moderated t-test and fold change M-bM-^IM-% 2 in obesity) that are known to be involved in a multitude of functions, including response to stress, inflammatory response and leukocyte adhesion. Differential splicing analysis uncovered the possible role of TLR4 RNA splicing in obesity. Our findings suggest that, as a person experiences weight gain/obesity, the adipose splicing pattern of TLR4 transcripts changes in favor of activation of TLR4 signaling, which in turn may contribute to the progression of obesity-related inflammation and complications. Conclusion: This study provides a look into the transcriptome of disease-state adipose tissue in obesity, and demonstrates the potential importance of aberrant RNA splicing and expression in obesity-associated immune dysregulation. Study design is of cross-sectional nature. Seven samples (three obese and four lean) were analyzed.
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