Rotosphaerida
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA517920 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8520210_1.fastq.gz | Fastqsanger.gz | |||
| SRR8520210_2.fastq.gz | Fastqsanger.gz | |||
| SRR8529862_1.fastq.gz | Fastqsanger.gz | |||
| SRR8529862_2.fastq.gz | Fastqsanger.gz | |||
| SRR8529863_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 32 |
Similar Datasets
Project description:The purpose of this clinical research is to establish a multi-omics model based on genomics，transcriptomics，gut microbiota in predicting pathologic response after neoadjuvant chemoradiotherapy combined PD-1 antibody given to patients with locally advanced rectal cancer.
| 2729715 | ecrin-mdr-crc
Project description:Abstract Background: One of the approaches for conducting genomics research in organisms that do not yet have a proper microarray template is to profile their expression patterns by using cross-species hybridization (CSH). Several different studies using spotted microarray for CSH resulted with contradicting conclusions as to the ability of CSH to reflect biological processes. Results: We used a tomato spotted cDNA microarray to examine the ability of CSH to reflect species specific hybridization (SSH) data. Potato RNA was hybridized to spotted cDNA tomato and potato microarrays to generate heterologous and homologous hybridization data, respectively. The results revealed difficulties in obtaining transcriptomics data from CSH that reflected those obtained from SSH. Nevertheless, once the data was filtered for those corresponding to matching probe sets, by restricting proper cutoffs of probe homology, the CSH transcriptomics data better reflected those of the SSH, to an extent that was quantitated by identification of differentially regulated genes. Conclusions: This study enabled us to outline some considerations regarding evaluation of a microarray as candidate platform for CSH study, performance of CSH and proper data analysis that may allow CSH to reflect to some extent a biological process. Keywords: cross-species hybridization; heterologous hybridization
2006-05-30 | GSE3584 | GEO
Project description:Acute Myeloid Leukemia (AML) is a heterogeneous disease with several recurrent cytogenetic abnormalities. Despite genomics and transcriptomics profiling efforts to understand AML’s heterogeneity, studies focused on the proteomic profiles associated with pediatric AML cytogenetic features remain limited. Furthermore, the majority of biological functions within cells are operated by proteins (i.e., enzymes) and most drugs target the proteome rather than the genome or transcriptome, thus, highlighting the significance of studying proteomics.
2023-09-26 | PXD043982 | Pride
Project description:Integrated genomics, transcriptomics, proteomics and metabolomics experiment of aneuploid Leishmania donovani strains. This submission concerns the proteomic data.
2022-08-26 | PXD028521 | Pride
Project description:<p><b>The Genomics and Transcriptomics of Human Insulinoma</b><br/> The common forms of diabetes - Types 1 and 2 - ultimately result from a deficiency of insulin-producing pancreatic beta cells. The Genomics and Transcriptomics of Human Insulinoma study was performed in order to identify novel approaches to inducing human pancreatic beta cells to replicate and regenerate. As a corollary, developing drugs that are able to expand human beta cell mass in people with diabetes should reverse diabetes. Unfortunately, identifying druggable pathways that can enhance human beta cell replication has been a major challenge. In 2017, there is only one class of drugs - the harmine analogues - that can induce human beta cells to replicate, and in this case, higher replication rates are desirable. Thus, identifying additional drugs and druggable pathways is a priority in diabetes research.</p> <p>Insulinomas are rare, benign adenomas of the pancreatic beta cell that cause excess insulin production and hypoglycemia: exactly the opposite of Types 1 and 2 diabetes. Beta cell proliferation rates in insulinomas are abnormally high. Thus, the premise for The Genomics and Transcriptomics of Human Insulinoma study is that benign human insulinomas hold the genomic and transcriptomic "recipe", and the repertoire of druggable pathways, that can be exploited to induce regeneration or replication of human beta cells in diabetes. Because, insulinomas are so rare, are almost always benign (non-malignant), and are easily resected by laparoscopic surgery, little attention has been paid to understanding the genomics or transcriptomics of insulinoma. There are at present only three published studies employing next-gen sequencing in insulinoma (<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=24326773">PMID:24326773</a>; <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=25787250">PMID:25787250</a>; and <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=25763608">PMID:25763608</a>). These studies contained 10, 7 and 8 insulinomas, respectively, and highlighted likely mutations in YY1 and MEN1. Our goal was to markedly expand the database and to add RNAseq to these earlier studies. </p> <p>The Genomics and Transcriptomics of Human Insulinoma study, in press in Nature Communications in 2017, reports next-gen sequencing on 38 insulinomas, by far the largest series of human insulinomas subjected to next-gen sequencing. This includes paired (genomic plus tumor) whole exome sequencing on 26 human insulinomas (22 sequenced at Mount Sinai, 4 downloaded from Cao <i>et al</i>, <a hre="https://www.ncbi.nlm.nih.gov/pubmed/?term=24326773">PMID:24326773</a>), and 25 sets of RNAseq from insulinomas, some of which also had paired whole exome seq, and some of which did not. The insulinoma RNAseq was compared to RNAseq from 22 sets of FACS-sorted normal human beta cells. Since insulinomas are so rare, the 38 insulinomas were collected by several investigators at several institutions over several decades, but most (22 whole exome sets, and all RNAseq) were sequenced at the Icahn School of Medicine at Mount Sinai in New York. </p> <p>The current dataset contains whole exome seq and RNAseq on the 11 insulinomas harvested at Mount Sinai. The four from Cao <i>et al</i> can be retrieved from Cao <i>et al</i> <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=24326773"> PMID:24326773</a>. Fastq files from the remaining 23 insulinomas will be added as the local IRBs and Institutional Certifications are acquired. Complete patient data are provided in our Nature Communications report. Going forward, our intention is to expand this series, with the goal of sequencing 100 human insulinomas. These will be added to dbGaP as they accrue.</p> <p>Paired-end whole exome seq (mean usable sequencing depth 79X and 105X for blood and insulinoma, respectively) was performed using an Illumina HiSeq 2500. Insulinoma and sorted normal beta cell RNAseq was performed on Ribozero and polyA paired end libraries using the Illumina HiSeq 2500. Complete sequencing and bioinformatic details are provided in our Nature Communications report.</p> <p>The principal findings from the study are that although each insulinoma has a different set of presumptive driver mutations, the majority converge on genes that are members of the Polycomb Complex, Trithorax Complex and other epigenetic modifying enzymes. In addition, 20% of insulinomas have copy number loss or loss of heterozygosity of all or most of chromosome 11, and the majority display abnormalities in CpG methylation and imprinting control on the imprinted Chr 11 p15.5-15.4 region that contains <a href="https://www.ncbi.nlm.nih.gov/gene/?term=INS">INS</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/?term=IGF2">IGF2</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/?term=CDKN1C">CDKN1C</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/?term=KCNQ1">KCNQ1</a>, and other genes involved in beta cell specification and proliferation. </p>
| phs001422 | dbGaP