Global analysis of host-pathogen interactions that regulate early-stage HIV-1 replication.

Human Immunodeficiency Viruses (HIV-1 and HIV-2) rely upon host-encoded proteins to facilitate their replication. Here, we combined genome-wide siRNA analyses with interrogation of human interactome databases to assemble a host-pathogen biochemical network containing 213 confirmed host cellular factors and 11 HIV-1-encoded proteins. Protein complexes that regulate ubiquitin conjugation, proteolysis, DNA-damage response, and RNA splicing were identified as important modulators of early-stage HIV-1 infection. Additionally, over 40 new factors were shown to specifically influence the initiation and/or kinetics of HIV-1 DNA synthesis, including cytoskeletal regulatory proteins, modulators of posttranslational modification, and nucleic acid-binding proteins. Finally, 15 proteins with diverse functional roles, including nuclear transport, prostaglandin synthesis, ubiquitination, and transcription, were found to influence nuclear import or viral DNA integration. Taken together, the multiscale approach described here has uncovered multiprotein virus-host interactions that likely act in concert to facilitate the early steps of HIV-1 infection.

Human host factors required for influenza virus replication.

Influenza A virus is an RNA virus that encodes up to 11 proteins and this small coding capacity demands that the virus use the host cellular machinery for many aspects of its life cycle. Knowledge of these host cell requirements not only informs us of the molecular pathways exploited by the virus but also provides further targets that could be pursued for antiviral drug development. Here we use an integrative systems approach, based on genome-wide RNA interference screening, to identify 295 cellular cofactors required for early-stage influenza virus replication. Within this group, those involved in kinase-regulated signalling, ubiquitination and phosphatase activity are the most highly enriched, and 181 factors assemble into a highly significant host-pathogen interaction network. Moreover, 219 of the 295 factors were confirmed to be required for efficient wild-type influenza virus growth, and further analysis of a subset of genes showed 23 factors necessary for viral entry, including members of the vacuolar ATPase (vATPase) and COPI-protein families, fibroblast growth factor receptor (FGFR) proteins, and glycogen synthase kinase 3 (GSK3)-beta. Furthermore, 10 proteins were confirmed to be involved in post-entry steps of influenza virus replication. These include nuclear import components, proteases, and the calcium/calmodulin-dependent protein kinase (CaM kinase) IIbeta (CAMK2B). Notably, growth of swine-origin H1N1 influenza virus is also dependent on the identified host factors, and we show that small molecule inhibitors of several factors, including vATPase and CAMK2B, antagonize influenza virus replication.

A genomic screen identifies TYRO3 as a MITF regulator in melanoma.

Malignant melanoma is the most aggressive form of cutaneous carcinoma, accounting for 75% of all deaths caused by skin cancers. Microphthalmia-associated transcription factor (MITF) is a master gene regulating melanocyte development and functions as a "lineage addiction" oncogene in malignant melanoma. We have identified the receptor protein tyrosine kinase TYRO3 as an upstream regulator of MITF expression by a genome-wide gain-of-function cDNA screen and show that TYRO3 induces MITF-M expression in a SOX10-dependent manner in melanoma cells. Expression of TYRO3 is significantly elevated in human primary melanoma tissue samples and melanoma cell lines and correlates with MITF-M mRNA levels. TYRO3 overexpression bypasses BRAF(V600E)-induced senescence in primary melanocytes, inducing transformation of non-tumorigenic cell lines. Furthermore, TYRO3 knockdown represses cellular proliferation and colony formation in melanoma cells, and sensitizes them to chemotherapeutic agent-induced apoptosis; TYRO3 knockdown in melanoma cells also inhibits tumorigenesis in vivo. Taken together, these data indicate that TYRO3 may serve as a target for the development of therapeutic agents for melanoma.

A probability-based approach for the analysis of large-scale RNAi screens.

We describe a statistical analysis methodology designed to minimize the impact of off-target activities upon large-scale RNA interference (RNAi) screens in mammalian cells. Application of this approach enhances reconfirmation rates and facilitates the experimental validation of new gene activities through the probability-based identification of multiple distinct and active small interfering RNAs (siRNAs) targeting the same gene. We further extend this approach to establish that the optimal redundancy for efficacious RNAi collections is between 4-6 siRNAs per gene.