Dataset

Combinatorial CRISPR screen identifies fitness effects of paralogues FAM50A and FAM50B

Dataset ID Technology Samples
EGAD00001006649 Illumina HiSeq 4000,Illumina NovaSeq 6000 55

Dataset Description

Genetic redundancy has evolved as a way for human cells to survive the loss of genes that are single copy and essential in other organisms, but also allows tumours to survive despite having highly rearranged genomes. In this study we CRISPR screen 1,191 gene pairs, including paralogues and known and predicted synthetic lethal interactions to identify 105 gene combinations whose co-disruption results in a loss of cellular fitness. 27 pairs influence fitness across multiple cell lines including the paralogues FAM50A/FAM50B, two genes of unknown function. Silencing of FAM50B occurs across a range of tumour types and in this context disruption of FAM50A reduces cellular fitness whilst promoting micronucleus formation and extensive perturbation of transcriptional programmes. This dataset includes CRISPR screening of cancer cell lines, RNA sequencing studies of cancer cell lines and also data from the sequencing of tumour xenografts collected from mice.

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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