Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5361600_1.fastq.gz | Fastqsanger.gz | |||
| SRR5361600_2.fastq.gz | Fastqsanger.gz | |||
| SRR5361601_1.fastq.gz | Fastqsanger.gz | |||
| SRR5361601_2.fastq.gz | Fastqsanger.gz | |||
| SRR5361602_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 24 |
Similar Datasets
Project description:We developed Chromatin Interaction Analysis by Paired-End Tag sequencing (ChIA-PET) for de novo detection of global chromatin interactions, and comprehensively mapped the chromatin interaction network bound by estrogen receptor α (ERα) in the human genome. We performed 454 and Illumina sequencing analyses. Keywords: Epigenetics Using 454, we examined 3 libraries: IHM001 (Estrogen Receptor ChIA-PET), IHM043 (Estrogen Receptor ChIP-PET) and IHM062 (IgG ChIA-PET) Using Illumina, we examined 4 libraries: IHM001 (Estrogen Receptor ChIA-PET replicate 1, Paired End Sequencing), IHH015 (Estrogen Receptor ChIA-PET replicate 2, Paired End Sequencing), H3K4me3 ChIP-Seq and RNA polymerase II ChIP-Seq
2009-09-11 | E-GEOD-18046 | biostudies-arrayexpress
Project description:We generated a genome-wide interaction map of regulatory elements in human cells (K562, GM12878) using Chromatin Interaction Analysis by Paired-End Tag sequencing (ChIA-PET) experiments targeting six broadly distributed factors. For data usage terms and conditions, please refer to https://www.encodeproject.org/about/data-use-policy Chromatin interactions identified by ChIA-PET for 4 different histone modifications (H3K4me1, H3K4me2, H3K4me3, H3K27ac), RAD21 and RNAPII in the K562 cell line, two biological replicates each. Additionally, chromatin interactions were identified by ChIA-PET in the GM12878 cell line for RAD21.
2014-08-21 | E-GEOD-59395 | biostudies-arrayexpress
Project description:This Project investigates the impact of elevated temperatures and relative humidity on the aging process of chia seeds (Salvia hispanica L.). The study employs proteomics to examine molecular responses to accelerated aging in two chia genotypes. The results underscore the importance of evaluating changes in proteins of aged seeds to gain insights into the biological mechanisms responsible for maintaining chia seed integrity during the aging process.
2024-08-06 | PXD049229 | Pride
Project description:The Atlantic salmon (Salmo salar) genome contains 10 chitinase encoding genes, but little is known about the function of these chitinases. Three of the chitinase genes have previously been shown to be expressed in the stomach tissue of Atlantic salmon. In the current study we show that the protein products of these genes, the family 18 glycoside hydrolase (GH18) chitinases, Chia.3, Chia.4 and Chia.7 are secreted into the stomach mucosa and are amongst the most abundant proteins in this matrix.
2022-05-08 | PXD030291 | Pride
Project description:Salvia hispanica L. (chia) is a member of the mint family that is cultivated for its seeds. The majority of seed content in chia is comprised of omega fatty acids. Furthermore, chia seeds are also rich in fiber and minerals. The human health potential of chia seeds have driven studies of dietary effects, however there is little genetic or genomic studies available. In this study we obtained RNA from seeds, shoots, cotyledons, leaf primordia, nodes, racemes, and flower tissues from different developmental stages to generate an expression atlas for chia. RNA was sequenced on an Illumina Hiseq 2500. Sequence reads were assembled de novo to produce transcripts. Sequence reads were aligned to the chia transcriptome assembly to generate counts for each tissue type. Differentially expressed transcripts were determined for each tissue type.
2020-01-01 | E-MTAB-5515 | biostudies-arrayexpress
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