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Polycomb silencing is an important and rapidly growing field that is relevant to a broad range of aspects of human health, including cancer and stem cell biology. To date, the regulatory mechanisms for the fine-tuning of Polycomb silencing remain unclear, but it is likely that there is a series of unidentified factors that functionally modify or balance the silencing. However, a practical gene screening strategy for identifying such factors has not yet been developed. The failure of screening strategies used thus far is probably due to the effect of the loss-of-function phenotypes of these factors on cell cycle progression. Here, by applying fluorescence-activated cell sorter (FACS) and high-throughput sequencing (HTS) technology in a large-scale lentivirus-mediated shRNA screening, we obtained a consecutive dataset from all shRNAs tested, which highlighted a substantial number of genes that may control Polycomb silencing. We consider that this unbiased strategy can readily be applied to a wide range of studies to uncover novel regulatory layers for expression of genes of interest.

Unbiased shRNA screening, using a combination of FACS and high-throughput sequencing, enables identification of novel modifiers of Polycomb silencing