Qikai Xu

The genome of the social amoeba Dictyostelium discoideum

The social amoebae are exceptional in their ability to alternate between unicellular and multicellular forms. Here we describe the genome of the best-studied member of this group, Dictyostelium discoideum. The gene-dense chromosomes of this organism encode approximately 12,500 predicted proteins, a high proportion of which have long, repetitive amino acid tracts. There are many genes for polyketide synthases and ABC transporters, suggesting an extensive secondary metabolism for producing and exporting small molecules. The genome is rich in complex repeats, one class of which is clustered and may serve as centromeres. Partial copies of the extrachromosomal ribosomal DNA (rDNA) element are found at the ends of each chromosome, suggesting a novel telomere structure and the use of a common mechanism to maintain both the rDNA and chromosomal termini. A proteome-based phylogeny shows that the amoebozoa diverged from the animal–fungal lineage after the plant–animal split, but Dictyostelium seems to have retained more of the diversity of the ancestral genome than have plants, animals or fungi.

Cancer Proliferation Gene Discovery Through Functional Genomics

Retroviral short hairpin RNA (shRNA)–mediated genetic screens in mammalian cells are powerful tools for discovering loss-of-function phenotypes. We describe a highly parallel multiplex methodology for screening large pools of shRNAs using half-hairpin barcodes for microarray deconvolution. We carried out dropout screens for shRNAs that affect cell proliferation and viability in cancer cells and normal cells. We identified many shRNAs to be antiproliferative that target core cellular processes, such as the cell cycle and protein translation, in all cells examined. Moreover, we identified genes that are selectively required for proliferation and survival in different cell lines. Our platform enables rapid and cost-effective genome-wide screens to identify cancer proliferation and survival genes for target discovery. Such efforts are complementary to the Cancer Genome Atlas and provide an alternative functional view of cancer cells.

A genome-wide RNAi screen identifies a new transcriptional module required for self-renewal

We performed a genome-wide siRNA screen in mouse embryonic stem (ES) cells to identify genes essential for self-renewal, and found 148 genes whose down-regulation caused differentiation. Many of the identified genes function in gene regulation and/or development, and are highly expressed in ES cells and embryonic tissues. We further identified target genes of two transcription regulators Cnot3 and Trim28. We discovered that Cnot3 and Trim28 co-occupy many putative gene promoters with c-Myc and Zfx, but not other pluripotency-associated transcription factors. They form a unique module in the self-renewal transcription network, separate from the core module formed by Nanog, Oct4, and Sox2. The transcriptional targets of this module are enriched for genes involved in cell cycle, cell death, and cancer. This supports the idea that regulatory networks controlling self-renewal in stem cells may also be active in certain cancers and may represent novel anti-cancer targets. Our screen has implicated over 100 new genes in ES cell self-renewal, and illustrates the power of RNAi and forward genetics for the systematic study of self-renewal.

Global Protein Stability Profiling in Mammalian Cells

The abundance of cellular proteins is determined largely by the rate of transcription and translation coupled with the stability of individual proteins. Although we know a great deal about global transcript abundance, little is known about global protein stability. We present a highly parallel multiplexing strategy to monitor protein turnover on a global scale by coupling flow cytometry with microarray technology to track the stability of individual proteins within a complex mixture. We demonstrated the feasibility of this approach by measuring the stability of ∼8000 human proteins and identifying proteasome substrates. The technology provides a general platform for proteome-scale analysis of protein turnover under various physiological and disease conditions.

Global Identification of Modular Cullin-RING Ligase Substrates

Cullin-RING ligases (CRLs) represent the largest E3 ubiquitin ligase family in eukaryotes, and the identification of their substrates is critical to understanding regulation of the proteome. Using genetic and pharmacologic Cullin inactivation coupled with genetic (GPS) and proteomic (QUAINT) assays, we have identified hundreds of proteins whose stabilities or ubiquitylation status are regulated by CRLs. Together, these approaches yielded many known CRL substrates as well as a multitude of previously unknown putative substrates. We demonstrate that one substrate, NUSAP1, is an SCF(Cyclin F) substrate during S and G2 phases of the cell cycle and is also degraded in response to DNA damage. This collection of regulated substrates is highly enriched for nodes in protein interaction networks, representing critical connections between regulatory pathways. This demonstrates the broad role of CRL ubiquitylation in all aspects of cellular biology and provides a set of proteins likely to be key indicators of cellular physiology.

A SUMOylation-Dependent Transcriptional Subprogram Is Required for Myc-Driven Tumorigenesis

Taking the Myc Despite nearly 30 years of research into the mechanisms by which Myc oncogene dysregulation contributes to tumorigenesis, there are still no effective therapies that inhibit Myc activity. Kessler et al. (p. 348, published online 8 December; see the Perspective by Evan) searched for gene products that support Myc-driven tumorigenesis. One pharmacologically tractable target that emerged from the screen was the SUMO-activating enzyme complex SAE1/2, which catalyzes a posttranslational modification (SUMOylation) that alters protein behavior and function. SUMOylation was found to control the Myc transcriptional response, and its inhibition caused mitotic defects and apoptosis in Myc-dependent breast cancer cells. An RNA interference screen identifies a “druggable” enzyme whose inhibition halts tumor cell growth. Myc is an oncogenic transcription factor frequently dysregulated in human cancer. To identify pathways supporting the Myc oncogenic program, we used a genome-wide RNA interference screen to search for Myc–synthetic lethal genes and uncovered a role for the SUMO-activating enzyme (SAE1/2). Loss of SAE1/2 enzymatic activity drives synthetic lethality with Myc. Inactivation of SAE2 leads to mitotic catastrophe and cell death upon Myc hyperactivation. Mechanistically, SAE2 inhibition switches a transcriptional subprogram of Myc from activated to repressed. A subset of these SUMOylation-dependent Myc switchers (SMS genes) is required for mitotic spindle function and to support the Myc oncogenic program. SAE2 is required for growth of Myc-dependent tumors in mice, and gene expression analyses of Myc-high human breast cancers suggest that low SAE1 and SAE2 abundance in the tumors correlates with longer metastasis-free survival of the patients. Thus, inhibition of SUMOylation may merit investigation as a possible therapy for Myc-driven human cancers.

The DNA damage response induces inflammation and senescence by inhibiting autophagy of GATA4

Transcriptional control of cell senescence Senescent cells that have stopped proliferating secrete molecules that influence the cells around them. Prevention of this senescence-activated secretory phenotype seems to slow organismal aging. Kang et al. explored the regulatory process behind cell senescence and found that DNA damage led to stabilization of the transcription factor GATA4 (see the Perspective by Cassidy and Narita). Increased activity of GATA4 in senescent cells stimulated genes encoding secreted factors. GATA4 also accumulates in the brains of aging mice or humans. Science, this issue 10.1126/science.aaa5612; see also p. 1448 The transcription factor GATA4 promotes cell senescence. [Also see Perspective by Cassidy and Narita] INTRODUCTION Cellular senescence is a program of arrested proliferation and altered gene expression triggered by many stresses. Although it is a potent tumor-suppressive mechanism, senescence has been implicated in several pathological processes including aging, age-associated diseases, and (counterintuitively) tumorigenesis. One potential mechanism through which senescent cells exert such pleiotropic effects is the secretion of proinflammatory cytokines, chemokines, growth factors, and proteases, termed the senescence-associated secretory phenotype (SASP), which affects senescent cells and their microenvironment. The mechanism by which the SASP is initiated and maintained is not well characterized beyond the classical regulators of inflammation, including the transcription factors NF-κB and C/EBPβ. RATIONALE In senescence growth arrest, two core senescence-regulating pathways, p53 and p16INK4a/Rb, play a critical role. By contrast, the SASP does not depend on either p53 or p16INK4a, which suggests the existence of an independent senescence regulatory network that controls the SASP. Having observed high levels of induction of microRNA miR-146a during induced senescence in human fibroblasts, we developed a green fluorescent protein–tagged senescence reporter based on a miR-146a promoter fragment. This reporter responded to senescence-inducing stimuli, including replicative exhaustion, DNA damage, and oncogenic RAS activation—all of which activate the SASP. This system allowed us to identify additional regulators of senescence and the SASP. RESULTS Through miR-146a promoter analysis, we mapped the critical region for senescence-induced activity and identified the transcriptional regulator responsible for this regulation, GATA4, previously known as a regulator of embryonic development. Ectopic expression of GATA4 induced senescence, whereas disruption of GATA4 suppressed it, thus establishing GATA4 as a senescence regulator. GATA4 protein abundance, but not mRNA, increased during sene1scence, primarily as a result of increased protein stability. Under normal conditions, GATA4 binds the p62 autophagy adaptor and is degraded by selective autophagy. Upon senescence induction, however, this selective autophagy was suppressed through decreased interaction between GATA4 and p62, thereby stabilizing GATA4. GATA4 in turn induced TRAF3IP2 (tumor necrosis factor receptor–associated factor interacting protein 2) and IL1A (interleukin 1A), which activate NF-κB to initiate and maintain the SASP, thus facilitating senescence. GATA4 pathway activation depends on the key DNA damage response (DDR) kinases ATM (ataxia telangiectasia mutated) and ATR (ataxia telangiectasia and Rad3–related), as does senescence-associated activation of p53 and p16INK4a. However, the GATA4 pathway is independent of p53 and p16INK4a. Finally, GATA4 protein accumulated in multiple tissues in mice treated with senescence-inducing stimuli and during normal mouse and human aging, including many cell types in the brain; these findings raise the possibility that the GATA4 pathway drives age-dependent inflammation. CONCLUSION Our results indicate that GATA4 connects autophagy and the DDR to senescence and inflammation through TRAF3IP2 and IL1A activation of NF-κB. These findings establish GATA4 as a key switch activated by the DDR to regulate senescence, independently of p53 and p16INK4a. Our in vivo data indicate a potential role of GATA4 during aging and its associated inflammation. Because accumulation of senescent cells is thought to promote aging and aging-associated diseases through the resulting inflammatory response, inhibiting the GATA4 pathway may provide an avenue for therapeutic intervention. GATA4 functions as a key switch in the senescence regulatory network to activate the SASP. The nonsenescent state is maintained by inhibitory barriers that prevent cell cycle arrest and inflammation. Upon senescence-inducing signals, ATM and ATR relieve inhibition of the p53 and p16INK4a pathways to induce growth arrest and also block p62-dependent autophagic degradation of GATA4, resulting in NF-κB activation and SASP induction. Cellular senescence is a terminal stress-activated program controlled by the p53 and p16INK4a tumor suppressor proteins. A striking feature of senescence is the senescence-associated secretory phenotype (SASP), a pro-inflammatory response linked to tumor promotion and aging. We have identified the transcription factor GATA4 as a senescence and SASP regulator. GATA4 is stabilized in cells undergoing senescence and is required for the SASP. Normally, GATA4 is degraded by p62-mediated selective autophagy, but this regulation is suppressed during senescence, thereby stabilizing GATA4. GATA4 in turn activates the transcription factor NF-κB to initiate the SASP and facilitate senescence. GATA4 activation depends on the DNA damage response regulators ATM and ATR, but not on p53 or p16INK4a. GATA4 accumulates in multiple tissues, including the aging brain, and could contribute to aging and its associated inflammation.

Recurrent Hemizygous Deletions in Cancers May Optimize Proliferative Potential

Cancer Gene Islands Human tumors are riddled with genomic alterations that rearrange, remove, amplify, or otherwise disrupt a wide spectrum of genes, and a key challenge is identifying which of these alterations are causally involved in tumorigenesis. The role of recurrent hemizygous focal deletions is especially puzzling because these deletions preferentially affect certain chromosomal regions and result in the loss of one copy of a whole cluster of adjacent genes. Solimini et al. (p. 104, published online 24 May; see the Perspective by Greenman) found that these deletions span genomic regions that are enriched in genes that negatively regulate cell proliferation. The cumulative reduction in dosage and tumor suppressive function of the genes within these “cancer gene islands” may represent a critical factor driving tumor growth. The genomes of cancer cells have preferentially lost genes that inhibit cell growth. Tumors exhibit numerous recurrent hemizygous focal deletions that contain no known tumor suppressors and are poorly understood. To investigate whether these regions contribute to tumorigenesis, we searched genetically for genes with cancer-relevant properties within these hemizygous deletions. We identified STOP and GO genes, which negatively and positively regulate proliferation, respectively. STOP genes include many known tumor suppressors, whereas GO genes are enriched for essential genes. Analysis of their chromosomal distribution revealed that recurring deletions preferentially overrepresent STOP genes and underrepresent GO genes. We propose a hypothesis called the cancer gene island model, whereby gene islands encompassing high densities of STOP genes and low densities of GO genes are hemizygously deleted to maximize proliferative fitness through cumulative haploinsufficiencies. Because hundreds to thousands of genes are hemizygously deleted per tumor, this mechanism may help to drive tumorigenesis across many cancer types.

Microarray data mining with visual programming

UNLABELLED Visual programming offers an intuitive means of combining known analysis and visualization methods into powerful applications. The system presented here enables users who are not programmers to manage microarray and genomic data flow and to customize their analyses by combining common data analysis tools to fit their needs. AVAILABILITY http://www.ailab.si/supp/bi-visprog SUPPLEMENTARY INFORMATION http://www.ailab.si/supp/bi-visprog.

Comprehensive serological profiling of human populations using a synthetic human virome

Viral exposure—the complete history In addition to causing illness, viruses leave indelible footprints behind, because infection permanently alters the immune system. Blood tests that detect antiviral antibodies can provide information about both past and present viral exposures. Typically, such tests measure only one virus at a time. Using a synthetic representation of all human viral peptides, Xu et al. developed a blood test that identifies antibodies against all known human viruses. They studied blood samples from nearly 600 people of differing ages and geographic locations and found that most had been exposed to about 10 viral species over their lifetime. Despite differences in the rates of exposure to specific viruses, the antibody responses in most individuals targeted the same viral epitopes. Science, this issue 10.1126/science.aaa0698 A complete history of viral exposure over a lifetime can be deduced from a drop of blood. Introduction The collection of viruses found to infect humans can have profound effects on human health. In addition to directly causing acute or chronic illness, viral infection can alter host immunity in more subtle ways, leaving an indelible footprint on the immune system. This interplay between virome and host immunity has been implicated in the pathogenesis of complex diseases such as type 1 diabetes, inflammatory bowel disease, and asthma. Despite the growing appreciation for the importance of interactions between the virome and host, a comprehensive method to systematically characterize these interactions has yet to be developed. Rationale Current serological methods to detect viral infections are predominantly limited to testing one pathogen at a time and are therefore used primarily to address specific clinical hypotheses. A method that could simultaneously detect responses to all human viruses would allow hypothesis-free analysis to detect associations between past viral infections and particular diseases or population structures. Humoral responses to infection typically arise within 10 to 14 days of initial exposure and can persist over years or decades, thus providing a rich source of the history of pathogen encounters. In this work, we present VirScan, a high-throughput method that allows comprehensive analysis of antiviral antibodies in human sera. VirScan uses DNA microarray synthesis and bacteriophage display to create a uniform, synthetic representation of peptide epitopes comprising the human virome. Immunoprecipitation and high-throughput DNA sequencing reveal the peptides recognized by antibodies in the sample. The analysis requires less than 1 μl of blood. Results We screened sera from 569 human donors across four continents, assaying a total of over 108 antibody-peptide interactions for reactivity to 206 human viral species and >1000 strains. We found that VirScan’s performance in detecting known infections and distinguishing between exposures to related viruses is comparable to that of classical serum antibody tests for single viruses. We detected antibodies to an average of 10 viral species per person and 84 species in at least two individuals. Our approach maps antibody targets at 56–amino acid resolution, and our results nearly double the number of previously established viral B cell epitopes. Although rates of specific virus exposure varied depending on age, HIV status, and geographic location of the donor, we observed strong similarities in antibody responses across individuals. In particular, we found multiple instances of single peptides that were recurrently recognized by antibodies in the vast majority of donors. We performed tiling mutagenesis and found that these antibody responses targeted substantially conserved “public epitopes” for each virus, suggesting that antibodies with highly similar specificities, and possibly structures, are elicited across individuals. Conclusion VirScan is a method that enables human virome-wide exploration, at the epitope level, of immune responses in large numbers of individuals. We have demonstrated its effectiveness for determining viral exposure and characterizing viral B cell epitopes in high throughput and at high resolution. Our preliminary studies have revealed intriguing general properties of the human immune system, both at the individual and the population scale. VirScan may prove to be an important tool for uncovering the effect of host-virome interactions on human health and disease and could easily be expanded to include new viruses as they are discovered, as well as other human pathogens, such as bacteria, fungi, and protozoa. Systematic viral epitope scanning (VirScan). This method allows comprehensive analysis of antiviral antibodies in human sera. VirScan combines DNA microarray synthesis and bacteriophage display to create a uniform, synthetic representation of peptide epitopes comprising the human virome. Immunoprecipitation and high-throughput DNA sequencing reveal the peptides recognized by antibodies in the sample. The color of each cell in the heatmap depicts the relative number of antigenic epitopes detected for a virus (rows) in each sample (columns). The human virome plays important roles in health and immunity. However, current methods for detecting viral infections and antiviral responses have limited throughput and coverage. Here, we present VirScan, a high-throughput method to comprehensively analyze antiviral antibodies using immunoprecipitation and massively parallel DNA sequencing of a bacteriophage library displaying proteome-wide peptides from all human viruses. We assayed over 108 antibody-peptide interactions in 569 humans across four continents, nearly doubling the number of previously established viral epitopes. We detected antibodies to an average of 10 viral species per person and 84 species in at least two individuals. Although rates of specific virus exposure were heterogeneous across populations, antibody responses targeted strongly conserved “public epitopes” for each virus, suggesting that they may elicit highly similar antibodies. VirScan is a powerful approach for studying interactions between the virome and the immune system.