The hydroid of the medusa Lizzia blondina
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB27697 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The complete chloroplast genome of Saussurea medusa
| PRJNA728186 | ENA
Project description:Raw sequence reads of chloroplast genome of Saussurea medusa
| PRJNA554516 | ENA
Project description:Deciphering gene regulatory mechanisms through the analysis of high-throughput expression data is a challenging computational problem. Previous computational studies have used large expression datasets in order to resolve fine patterns of coexpression, producing clusters or modules of potentially coregulated genes. These methods typically examine promoter sequence information, such as DNA motifs or transcription factor occupancy data, in a separate step after clustering. We needed an alternative and more integrative approach to study the oxygen regulatory network in Saccharomyces cerevisiae using a small dataset of perturbation experiments. Mechanisms of oxygen sensing and regulation underlie many physiological and pathological processes, and only a handful of oxygen regulators have been identified in previous studies. We used a new machine learning algorithm called MEDUSA to uncover detailed information about the oxygen regulatory network using genome-wide expression changes in response to perturbations in the levels of oxygen, heme, Hap1, and Co2+. MEDUSA integrates mRNA expression, promoter sequence, and ChIP-chip occupancy data to learn a model that accurately predicts the differential expression of target genes in held-out data. We used a novel margin-based score to extract significant condition-specific regulators and assemble a global map of the oxygen sensing and regulatory network. This network includes both known oxygen and heme regulators, such as Hap1, Mga2, Hap4, and Upc2, as well as many new candidate regulators. MEDUSA also identified many DNA motifs that are consistent with previous experimentally identified transcription factor binding sites. Because MEDUSA's regulatory program associates regulators to target genes through their promoter sequences, we directly tested the predicted regulators for OLE1, a gene specifically induced under hypoxia, by experimental analysis of the activity of its promoter. In each case, deletion of the candidate regulator resulted in the predicted effect on promoter activity, confirming that several novel regulators identified by MEDUSA are indeed involved in oxygen regulation. MEDUSA can reveal important information from a small dataset and generate testable hypotheses for further experimental analysis.
2008-09-10 | GSE8343 | GEO
Project description:A quantitative proteomic study to determine the variety and relative abundance of toxins present in two nematocyst types isolated from primary tentacles of adult medusa stage Olidias sambaquiensis. Quantitative proteomics was performed with Tandem Mass Tags (TMT) to compare similarities and also differences between the two sample types using liquid chromatography coupled to tandem mass spectrometry
2019-08-26 | PXD012887 | Pride
Project description:20 random DNA barcodes were designed in silico and transfected into PC3 cells. Barcodes were sequenced using Illumina-Miseq technology to find the sequence and their respective copy numbers. Current file contains the raw data of these DNA barcodes in fastq format
2016-03-31 | GSE67441 | GEO
Project description:LNPs have been demonstrated to hold great promise for the clinical advancement of RNA therapeutics. Continued exploration of LNPs for application in new disease areas requires identification and optimisation of leads in a high throughput way. Currently available high throughput in vivo screening platforms are well suited to screen for cellular uptake but less so for functional cargo delivery. We report on a platform which measures functional delivery of LNPs using unique peptide ‘barcodes’. We describe the design and selection of the peptide barcodes and the evaluation of these for the screening of LNPs. We show that proteomic analysis of peptide barcodes correlates with quantification and efficacy of barcoded reporter proteins both in vitro and in vivo and, that the ranking of selected LNPs using peptide barcodes in a pool correlates with ranking using alternative methods in groups of animals treated with individual LNPs. We show that this system is sensitive, selective, and capable of reducing the size of an in vivo study by screening up to 10 unique formulations in a single pool, thus accelerating the discovery of new technologies for mRNA delivery.
2024-10-17 | PXD053797 | Pride
Project description:20 random DNA barcodes were designed in silico and transfected into PC3 cells. Barcodes were sequenced using Illumina-Miseq technology to find the sequence and their respective copy numbers. Current file contains the raw data of these DNA barcodes in fastq format Validating an algorithm called SRiD that generates random DNA barcodes that do not match a genome of interest, in this case human genome. 20 DNA barcodes were used for this validation.
2016-03-31 | E-GEOD-67441 | biostudies-arrayexpress