The systematic functional analysis of combinatorial genetics has been limited by the throughput that can be achieved and the order of complexity that can be studied. To enable massively parallel characterization of genetic combinations in human cells, we developed a technology for rapid, scalable assembly of high-order barcoded combinatorial genetic libraries that can be quantified with high-throughput sequencing. We applied this technology, combinatorial genetics en masse (CombiGEM), to create high-coverage libraries of 1,521 two-wise and 51,770 three-wise barcoded combinations of 39 human microRNA (miRNA) precursors. We identified miRNA combinations that synergistically sensitize drug-resistant cancer cells to chemotherapy and/or inhibit cancer cell proliferation, providing insights into complex miRNA networks. More broadly, our method will enable high-throughput profiling of multifactorial genetic combinations that regulate phenotypes of relevance to biomedicine, biotechnology and basic science.Complex biological traits are regulated by the concerted action of combinatorial gene sets 1 . For example, multiple genetic factors are needed to reprogram somatic cells into induced pluripotent stem cells or distinct cell types 2 . Combinatorial drug therapies can achieve enhanced efficacy over conventional monotherapies, because targeting multiple pathways can be synergistic 3 . Furthermore, although genomewide association studies have implicated multiple individual loci in multifactorial human diseases, these loci can explain only a minor Reprints and permissions information is available online at