Dataset

Phenotypic characterisation of LRRN4CL over-expression

Dataset ID Technology Samples
EGAD00001006249 Illumina HiSeq 2500 48

Dataset Description

This study aims to use RNAseq to identify differentially expressed transcripts in human melanoma cells that over-express the cell surface protein, LRRN4CL, relative to empty-vector control cells, to provide mechanistic insight into how LRRN4CL over-expression confers enhanced pulmonary metastatic colonisation abilities.

Who controls access to this dataset

For each dataset that requires controlled access, there is a corresponding Data Access Committee (DAC) who determine access permissions. Access to actual data files is not managed by the EGA. If you need to request access to this data set, please contact:

Wellcome Trust Sanger Institute
Contact person: Data Sharing
Email: datasharing [at] sanger [dot] ac [dot] uk
Access information: https://www.sanger.ac.uk/legal/DAA/MasterController
More details: EGAC00001000205

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