Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30091500_1.fastq.gz | Fastqsanger.gz | |||
| SRR30091500_2.fastq.gz | Fastqsanger.gz | |||
| SRR30091501_1.fastq.gz | Fastqsanger.gz | |||
| SRR30091501_2.fastq.gz | Fastqsanger.gz | |||
| SRR30091502_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 70 |
Similar Datasets
Project description:Previous studies have evaluated pork quality by omics methods. However, proteomics coupled with metabolomics to investigate pork freshness by using pork exudates has not been reported. This study determined the changes in profiles of peptides and metabolites in exudates from pork stored at different temperatures (25, 10, 4, and -2 ℃). Multivariate statistical analysis revealed similar changes in profiles in exudates collected from pork stored at -2 and 4 ℃, and additional changes following storage at higher temperatures. We identified peptides from 7 proteins and 30 metabolites differing in abundance between fresh and spoiled pork. Significant correlations be-tween pork quality and most of the peptides from these 7 proteins and 30 metabolites were found. The present study provides insight into changes in peptide and metabolite profiles of exudates from pork during storage at different temperatures and our analysis suggest that such changes can be used as markers for pork spoilage.
2022-08-11 | PXD033970 | Pride
Project description:We explore whether a low-energy diet intervention for Metabolic dysfunction-associated steatohepatitis (MASH) improves liver disease by means of modulating the gut microbiome. 16 individuals were given a low-energy diet (880 kcal, consisting of bars, soups, and shakes) for 12 weeks, followed by a stepped re-introduction to whole for an additional 12 weeks. Stool samples were obtained at 0, 12, and 24 weeks for microbiome analysis. Fecal microbiome were measured using 16S rRNA gene sequencing. Positive control (Zymo DNA standard D6305) and negative control (PBS extraction) were included in the sequencing. We found that low-energy diet improved MASH disease without lasting alterations to the gut microbiome.
2024-12-31 | E-MTAB-14061 | biostudies-arrayexpress
Project description:Intramuscular (i.m.) fat content influencing consumer’s acceptability of pork is considered as a limiting factor for meat quality. To gain insight into the biological basis of individual variability in i.m. fat content, both gene expression profiling and proteomic investigation were associated in pig longissimus muscle (LM). Keywords: intramuscular fat, gene expression, pigs, proteomics, microarray, pork meat
2009-01-15 | GSE10759 | GEO
Project description:To understand the molecular basis of distinct pork quality in Chinese indigenous and Western breed, longissimus dorsi samples were collected from three adult Northeastern Indigenous and from three adult Large White. Total RNA was extracted and subjected to porcine Affymetrix Genechip. The study helps to elucidate the genetic mechnism of divergent pork quality and provide the theory basis for selection and genetic improvement of meat quality traits in porcine.
2016-09-02 | GSE24192 | GEO
Project description:Pancreatic cancer is the 3rd most prevalent cause of cancer related deaths in United states alone, with over 55000 patients being diagnosed in 2019 alone and nearly as many succumbing to it. Late detection, lack of effective therapy and poor understanding of pancreatic cancer systemically contributes to its poor survival statistics. Obesity and high caloric intake linked co-morbidities like type 2 diabetes (T2D) have been attributed as being risk factors for a number of cancers including pancreatic cancer. Studies on gut microbiome has shown that lifestyle factors as well as diet has a huge effect on the microbial flora of the gut. Further, modulation of gut microbiome has been seen to contribute to effects of intensive insulin therapy in mice on high fat diet. In another study, abnormal gut microbiota was reported to contribute to development of diabetes in Db/Db mice. Recent studies indicate that microbiome and microbial dysbiosis plays a role in not only the onset of disease but also in its outcome. In colorectal cancer, Fusobacterium has been reported to promote therapy resistance. Certain intra-tumoral bacteria have also been shown to elicit chemo-resistance by metabolizing anti-cancerous agents. In pancreatic cancer, studies on altered gut microbiome have been relatively recent. Microbial dysbiosis has been observed to be associated with pancreatic tumor progression. Modulation of microbiome has been shown to affect response to anti-PD1 therapy in this disease as well. However, most of the studies in pancreatic cancer and microbiome have remained focused om immune modulation. In the current study, we observed that in a T2D mouse model, the microbiome changed significantly as the hyperglycemia developed in these animals. Our results further showed that, tumors implanted in the T2D mice responded poorly to Gemcitabine/Paclitaxel (Gem/Pac) standard of care compared to those in the control group. A metabolomic reconstruction of the WGS of the gut microbiota further revealed that an enrichment of bacterial population involved in drug metabolism in the T2D group.
2020-11-30 | E-MTAB-8739 | biostudies-arrayexpress
Project description:Aging is associated with declining immunity and inflammation as well as alterations in the gut microbiome with a decrease of beneficial microbes and increase in pathogenic ones. The aim of this study was to investigate aging associated gut microbiome in relation to immunologic and metabolic profile in a non-human primate (NHP) model. 12 old (age>18 years) and 4 young (age 3-6 years) Rhesus macaques were included in this study. Immune cell subsets were characterized in PBMC by flow cytometry and plasma cytokines levels were determined by bead based multiplex cytokine analysis. Stool samples were collected by ileal loop and investigated for microbiome analysis by shotgun metagenomics. Serum, gut microbial lysate and microbe-free fecal extract were subjected to metabolomic analysis by mass-spectrometry. Our results showed that the old animals exhibited higher inflammatory biomarkers in plasma and lower CD4 T cells with altered distribution of naïve and memory T cell maturation subsets. The gut microbiome in old animals had higher abundance of Archaeal and Proteobacterial species and lower Firmicutes than the young. Significant enrichment of metabolites that contribute to inflammatory and cytotoxic pathways was observed in serum and feces of old animals compared to the young. We conclude that aging NHP undergo immunosenescence and age associated alterations in the gut microbiome that has a distinct metabolic profile.
2022-02-01 | E-MTAB-10160 | biostudies-arrayexpress
Project description:Intramuscular (i.m.) fat content influencing consumerâs acceptability of pork is considered as a limiting factor for meat quality. To gain insight into the biological basis of individual variability in i.m. fat content, both gene expression profiling and proteomic investigation were associated in pig longissimus muscle (LM). Keywords: intramuscular fat, gene expression, pigs, proteomics, microarray, pork meat Animals were sampled from a population of 1,000 pigs generated as an F2 intercross between two production sire lines: FH016 (Pietrain type, France Hybrides SA, St Jean de Braye, France) and FH019 (Synthetic line, from Duroc, Hampshire and Large White founders, France Hybrides SA, St Jean de Braye, France).
2010-05-07 | E-GEOD-10759 | biostudies-arrayexpress
Project description:To understand the molecular basis of distinct pork quality in Chinese indigenous and Western breed, longissimus dorsi samples were collected from three adult Northeastern Indigenous and from three adult Large White. Total RNA was extracted and subjected to porcine Affymetrix Genechip. The study helps to elucidate the genetic mechnism of divergent pork quality and provide the theory basis for selection and genetic improvement of meat quality traits in porcine. Six longissimus dorsi samples were collected from three Northeastern Indigenous and from three Large White. Three Large White were control samples. Total RNA was extracted from each sample.Gene-expression profiling was performed for each RNA sample separately on the GeneChip® Porcine Genome Array at CapitalBio Corporation (Beijing, China).
2016-09-02 | E-GEOD-24192 | biostudies-arrayexpress