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IL-10 signalling and macrophage gene expression (2019-08-28)

Study to stimulate WT and IL-10RB mutant macrophages with LPS in presence or absence of recombinant IL-10 and compare their gene expression profiles by RNASeq These data are part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/ . This dataset contains all the data available for this study on 2019-08-28.

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Wellcome Trust Sanger Institute Data Sharing Policy

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001001283 Transcriptome Analysis

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00000895681 cram 1.1 GB
EGAF00000895682 cram 1.1 GB
EGAF00000895683 cram 1.2 GB
EGAF00000895684 cram 987.9 MB
EGAF00000895685 cram 1.1 GB
EGAF00000895686 cram 1.0 GB
EGAF00000895687 cram 1.1 GB
EGAF00000895688 cram 1.1 GB
EGAF00000895689 cram 1.1 GB
EGAF00000895690 cram 1.0 GB
EGAF00000895691 cram 1.2 GB
EGAF00000895692 cram 1.2 GB
EGAF00000895693 cram 1.1 GB
EGAF00000895694 cram 1.0 GB
EGAF00000895695 cram 1.0 GB
EGAF00000895696 cram 918.7 MB
EGAF00000895697 cram 1.1 GB
EGAF00000895698 cram 1.1 GB
EGAF00000895699 cram 1.0 GB
EGAF00000895700 cram 1.0 GB
EGAF00000895701 cram 998.4 MB
EGAF00000895702 cram 1.1 GB
EGAF00000895703 cram 1.3 GB
EGAF00000895704 cram 1.5 GB
EGAF00000895705 cram 1.0 GB
EGAF00000895706 cram 900.6 MB
EGAF00000895707 cram 1.0 GB
EGAF00000895708 cram 842.1 MB
EGAF00000895709 cram 1.3 GB
EGAF00000895710 cram 998.4 MB
EGAF00000895711 cram 1.1 GB
EGAF00000895712 cram 1.1 GB
32 Files (34.6 GB)