E-MTAB-7087
Ontology highlight
ABSTRACT:
PROVIDER: E-MTAB-7087 | ExpressionAtlas | 2019-09-09
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description: Not available
| S-BSST1361 | biostudies-other
Project description:Reverse transcriptase inhibitors in Aicardi-Goutières syndrome
| PRJEB27958 | ENA
Project description:Raw data from E-MTAB-1585 was normalized by using reads per million. https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1585/ Strand specific RNA-Seq data E-MTAB-1585 was normalized and subtracted control from knockdown to generate tracks that more clearly displayed the unusual pattern of RNA expression caused by knockdown of 7SK. The following wig files were generated from multiple samples (i.e.raw data files), as indicated in the 'readme.txt' file. 7sk_3p_KD_norm.wig: 7SK 3P Knockdown normalized 7sk_3p_KDF_norm.wig: 7SK 3P Knockdown normalized (Forward) 7sk_3p_KDR_norm.wig: 7SK 3P Knockdown normalized (Reverse) 7sk_5p_KD_norm.wig: 7SK 5P Knockdown normalized 7sk_5p_KDF_norm.wig: 7SK 5P Knockdown normalized (Forward) 7sk_5p_KDR_norm.wig: 7SK 5P Knockdown normalized (Reverse) 7sk_Control_norm.wig: 7SK Control normalized 7sk_ControlF_norm.wig: 7SK Control normalized (Forward) 7sk_ControlR_norm.wig: 7SK Control normalized (Reverse) 7sk_3p_KDF-ControlF.wig: 7SK 3P Knockdown-Control (Forward) 7sk_3p_KDR-ControlR.wig: 7SK 3P Knockdown-Control (Reverse) 7sk_5p_KDF-ControlF.wig: 7SK 5P Knockdown-Control (Forward) 7sk_5p_KDR-ControlR.wig: 7SK 5P Knockdown-Control (Reverse)
2013-09-19 | E-GEOD-50860 | biostudies-arrayexpress
Project description:We used the high-throughput sequencing and inhibitors to screen microRNAs that play the role in anti-porcine reproductive and respiratory syndrome virus (PRRSV) responses in porcine alveolar macrophages (PAMs).
2021-01-25 | GSE164993 | GEO
Project description:WARNING: This library was yield low amount of material and it was over-amplified by PCR. This libraries are used study the robustness of several statitical methods against PCR artifacts. ChIP experiments were performed on Arabidopsis wildtype inflorescences using an antibody raised against a C-terminal peptide of SEP3. ArrayExpress Release Date: 2011-04-27 Publication Title: ChIP-seq Analysis in R (CSAR): An R package for the statistical detection of protein-bound genomic regions Publication Author List: Jose M. Muino, Kerstin Kaufmann, Roeland C. H. J. van Ham, Gerco C. Angenent, and Pawel Krajewski Person Roles: submitter Person Last Name: Muino Person First Name: Jose Person Mid Initials: M. Person Email: jose.muino@wur.nl Person Phone: 0317-481122 Person Address: Droevendaalsesteeg 1, P.O. Box 16, 6700 AA Wageningen, The Netherlands Person Affiliation: Plant Research International B.V.
2011-07-14 | GSE30616 | GEO
Project description:Abstract: Paired-end sequence data has been generated using polyA selected RNA from a range of zebrafish tissues using the Illumina Genome Analyzer. Study description: Zebrafish total RNA was extracted from adult tissue, then polyA selected. After fragmentation and reverse transcription Illumina sequencing libraries were prepared. Paired-end sequence runs were performed with 76 base reads on the Illumina Genome Analyzer. ArrayExpress Release Date: 2011-01-28 Person Roles: submitter Person Last Name: Service Person First Name: Submission Person Mid Initials: Person Email: datahose@sanger.ac.uk Person Phone: Person Address: The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, United Kingdom Person Affiliation: Wellcome Trust Sanger Institute
2011-07-14 | GSE30608 | GEO
Project description:The project aims to looks at differential gene targets in the human Sezary syndrome HuT78 cell line when treated with epigenetic inhibitors romidepsin, F5446, and chaetocin compared to the vehicle treated cells (DMSO) for 72hrs.
2022-10-26 | GSE159963 | GEO
Project description:Sequencing the transcriptome of DBAxC57BL/6J mice. To study the regulation of transcription, splicing and RNA turnover we have sequenced the transcriptomes of tissues collected DBAxC57BL/6J mice. We strongly encourage researchers to contact us if there is any queries about referencing or publishing analysis based on pre-publication data. This data is part of a pre-publication release. For information on use of the data and the data release policy please see: http://www.sanger.ac.uk/resources/mouse/genomes/datarelease.html ArrayExpress Release Date: 2011-04-09 Publication Title: Sequence variation amongst 17 classical and wild-derived mouse genomes and its effect on gene regulation and phenotypic variation. Publication Author List: Thomas M. Keane, Petr Daneck, Leo Goodstadt, Bret Payseur, Michael White, Kim Wong, Binnaz Yalcin, Andreas Heger, Avi Agam, Guy Slater, Martin Goodson, Nick Furotte, Eleazar Eskin, Christoffer Nellaker, Helen Whitley, James Cleak, Deborah Janowitz, Polinka Hernandez-Pliego, Amartjit Bhomra, Jerome Nicod, Xiangchao Gan, Wei Yuan, Louise van der Weyden, Sendu Bala, Allan Bradley, Jim Stalker, Richard Mott, Richard Durbin, Ian Jackson, Laura Reinholdt, Chris P. Ponting, Ewan Birney, Jonathan Flint, David J. Adams Person Roles: submitter Person Last Name: Service Person First Name: Submission Person Mid Initials: Person Email: datahose@sanger.ac.uk Person Phone: Person Address: The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, United Kingdom Person Affiliation: Wellcome Trust Sanger Institute Person Roles: project owner Person Last Name: Adams Person First Name: David Person Mid Initials: Person Email: da1@sanger.ac.uk Person Phone: Person Address: The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, United Kingdom Person Affiliation: Wellcome Trust Sanger Institute
2011-07-14 | GSE30617 | GEO
Project description:Acute febrile neutrophilic dermatosis (Sweet syndrome) is a potentially fatal multiorgan inflammatory disease characterized by fever, leukocytosis, and rash with a neutrophilic infiltrate. Disease pathophysiology remains elusive. Corticosteroids and steroid sparing agents remain mainstays of treatment, but refractory cases pose a clinical challenge. Transcriptomic profiling of a refractory Sweet syndrome patient will improve our understanding of pathophysiology of the disease and, ultimately wiil help us to find a guided therapy. We used microarray to perform molecular characterization of a particular refractory Sweet Syndrome patient and to identify altered pathways that may be targeted via currently available small molecular inhibitors.
2023-01-04 | GSE190335 | GEO
Project description:Raw data from E-MTAB-1585 was normalized by using reads per million. https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1585/
2013-09-19 | GSE50860 | GEO