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Epigenetic modifications can maintain or alter the inherent symmetry of the nucleosome. However, the mechanisms that deposit and/or propagate symmetry or asymmetry are not understood. Here we report that yeast Set1C/COMPASS (complex of proteins associated with Set1) is dimeric and, consequently, symmetrically trimethylates histone 3 Lys4 (H3K4me3) on promoter nucleosomes. Mutation of the dimer interface to make Set1C monomeric abolished H3K4me3 on most promoters. The most active promoters, particularly those involved in the oxidative phase of the yeast metabolic cycle, displayed H3K4me2, which is normally excluded from active promoters, and a subset of these also displayed H3K4me3. In wild-type yeast, deletion of the sole H3K4 demethylase, Jhd2, has no effect. However, in monomeric Set1C yeast, Jhd2 deletion increased H3K4me3 levels on the H3K4me2 promoters. Notably, the association of Set1C with the elongating polymerase was not perturbed by monomerization. These results imply that symmetrical H3K4 methylation is an embedded consequence of Set1C dimerism and that Jhd2 demethylates asymmetric H3K4me3. Consequently, rather than methylation and demethylation acting in opposition as logic would suggest, a dimeric methyltransferase and monomeric demethylase cooperate to eliminate asymmetry and focus symmetrical H3K4me3 onto selected nucleosomes. This presents a new paradigm for the establishment of epigenetic detail.

We have developed a platform for quantitative genetic interaction mapping using viral infectivity as a functional readout and constructed a viral host-dependency epistasis map (vE-MAP) of 356 human genes linked to HIV function, comprising >63,000 pairwise genetic perturbations. The vE-MAP provides an expansive view of the genetic dependencies underlying HIV infection and can be used to identify drug targets and study viral mutations. We found that the RNA deadenylase complex, CNOT, is a central player in the vE-MAP and show that knockout of CNOT1, 10, and 11 suppressed HIV infection in primary Tcells by upregulating innate immunity pathways. This phenotype was rescued by deletion of IRF7, a transcription factor regulating interferon-stimulated genes, revealing a previously unrecognized host signaling pathway involved in HIV infection. The vE-MAP represents a generic platform that can be used to study the global effects of howdifferent pathogens hijack and rewire the host during infection.

BackgroundCAR-based therapies have transformed the treatment of several cancers, but this progress has not translated into solid tumors. One challenge of CAR-mediated therapies for solid tumors is the lack of specific tumor-associated antigens (TAA’s) that are only expressed on cancer cells and not on healthy cells, thereby posing a risk for on-target off-tumor toxicities. This presents a unique opportunity to use Logic Gates to expand the universe of cancer targets that may be treated with CAR-based cell therapies. CEA, a widely expressed tumor antigen, found in >90% of colorectal cancer (CRC), is also expressed in healthy gastrointestinal and lung epithelial cells. Clinical experience targeting CEA resulted in severe dose-limiting toxicities,1,2 highlighting the need for healthy tissue protection. Logic-gated gene circuits can prevent off-tumor toxicities by pairing a CEA activating-CAR (aCAR) with an inhibitory-CAR (iCAR) that recognizes a safety antigen (SA) uniquely expressed in healthy epithelial cells.MethodsWe developed a bioinformatics-driven antigen paired discovery platform using single-cell transcriptomics to discover and prioritize TAA’s and pair them with SA’s that are selectively expressed on the membrane of healthy cells. TAA’s and SA’s were validated in primary cancer and healthy tissue samples using IHC. We constructed aCAR/iCAR gene circuits and tested their function in NK cells.ResultsOur bioinformatics platform identified VSIG2 to be co-expressed with CEA in healthy gastrointestinal and lung epithelial cells. IHC confirmed the expression of VSIG2 on the membrane of healthy colon (N=72 samples) and lung (N=24 samples) epithelial cells.Using our Design-Build-Test-Learn platform, we screened >250 CAR constructs targeting CEA. CAR-NK cells were generated and tested for anti-tumor activity against CRC CEA+ cells and lead candidates were selected based on NK cell performance. A single dose of CEA-CAR-NK cells had anti-tumor activity in a human CRC xenograft model, reducing tumor burden in >33% of the treated mice. We identified iCARs with different intracellular domains derived from native domains containing immunoreceptor tyrosine-based inhibitory motifs. These iCARs suppressed >50% of aCAR-mediated killing (pConclusionsWe are developing Logic-Gated CAR-NK cell therapies aimed at reducing on-target off-tumor toxicities, to spare healthy cells in a SA-dependent manner. SENTI-401 will focus on targeting CEA+ CRC tumors with a NOT gate that recognizes the SA VSIG2 in the colon and lungs.ReferencesParkhurst M, et al. T cells targeting carcinoembryonic antigen can mediate regression of metastatic colorectal cancer but induce severe transient colitis. Mol Ther 2011; Mar;19(3):620–6.Thistlethwaite FC, et al. The clinical efficacy of first-generation carcinoembryonic antigen (CEACAM5)-specific CAR T cells is limited by poor persistence and transient pre-conditioning-dependent respiratory toxicity. Cancer Immunol Immunother 2017 Nov;66(11):1425–1436.

CRISPR interference screens with pairs of sgRNAs allow for quantitative characterization of genetic interactions. We describe a combinatorial CRISPR interference (CRISPRi) screening platform for mapping genetic interactions in mammalian cells. We targeted 107 chromatin-regulation factors in human cells with pools of either single or double single guide RNAs (sgRNAs) to downregulate individual genes or gene pairs, respectively. Relative enrichment analysis of individual sgRNAs or sgRNA pairs allowed for quantitative characterization of genetic interactions, and comparison with protein–protein-interaction data revealed a functional map of chromatin regulation.

We developed a systematic approach to map human genetic networks by combinatorial CRISPR-Cas9 perturbations coupled to robust analysis of growth kinetics. We targeted all pairs of 73 cancer genes with dual-guide RNAs in three cell lines, altogether comprising 141,912 tests of interaction. Numerous therapeutically relevant interactions were identified and these patterns replicated with combinatorial drugs at 75% precision. Based on these results we anticipate cellular context will be critical to synthetic-lethal therapies.

CAR-based cell therapies have revolutionized cancer treatment, however, applications beyond targeting lineage antigens are challenging due to expression of targeted antigens in healthy cells posing a risk for on-target off-tissue toxicities. This presents an opportunity to leverage synthetic biological logic gated gene circuits, such as NOT gate, to expand cancer targets for CAR-based cell therapies. We have constructed a first-in-class NOT gate in CAR-NK cells to protect healthy cells from CAR-mediated cytotoxicity. An inhibitory CAR (iCAR) recognizes a safety antigen expressed on healthy cells and suppresses activating CAR (aCAR) functions, significantly reducing NK cell activity. Multiple iCARs with intracellular co-inhibitory domains containing immunoreceptor tyrosine-based inhibitory motifs have shown to suppress over 50% of aCAR-mediated killing (p Citation Format: Alba Gonzalez, Assen Roguev, Nicholas W. Frankel, Brian S. Garrison, Derrick Lee, Marcus Gainer, Alyssa Mullenix, Russell M. Gordley, Kathryn A. Loving, Jenny Chien, Gary Lee. Development of logic-gated CAR-NK cells to reduce target-mediated healthy tissue toxicities [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB028.

SummaryWe combine a genome-scale RNAi screen in mouse epiblast stem cells (EpiSCs) with genetic interaction, protein localization, and “protein-level dependency” studies—a systematic technique that uncovers post-transcriptional regulation—to delineate the network of factors that control the expression of Oct4, a key regulator of pluripotency. Our data signify that there are similarities, but also fundamental differences in Oct4 regulation in EpiSCs versus embryonic stem cells (ESCs). Through multiparametric data analyses, we predict that Tox4 is associating with the Paf1C complex, which maintains cell identity in both cell types, and validate that this protein-protein interaction exists in ESCs and EpiSCs. We also identify numerous knockdowns that increase Oct4 expression in EpiSCs, indicating that, in stark contrast to ESCs, Oct4 is under active repressive control in EpiSCs. These studies provide a framework for better understanding pluripotency and for dissecting the molecular events that govern the transition from the pre-implantation to the post-implantation state.

Epistasis mapping, in which the phenotype that emerges from combining pairs of mutations is measured quantitatively, is a powerful tool for unbiased study of gene function. When performed at a large scale, this approach has been used to assign function to previously uncharacterized genes, define functional modules and pathways, and study their cross talk. These experiments rely heavily on methods for rapid sampling of binary combinations of mutant alleles by systematic generation of a series of double mutants. Epistasis mapping technologies now exist in various model systems. Here we provide an overview of different epistasis mapping technologies, including the pombe epistasis mapper (PEM) system designed for the collection of quantitative genetic interaction data in fission yeast Schizosaccharomyces pombe. Comprising a series of high-throughput selection steps for generation and characterization of double mutants, the PEM system has provided insight into a wide range of biological processes as well as facilitated evolutionary analysis of genetic interactomes across different species.

A single gene can partake in several biological processes, and therefore gene deletions can lead to different—sometimes unexpected—phenotypes. However, it is not always clear whether such pleiotropy reflects the loss of a unique molecular activity involved in different processes or the loss of a multifunctional protein. Here, usingSaccharomyces cerevisiaemetabolism as a model, we systematically test the null hypothesis that enzyme phenotypes depend on a single annotated molecular function, namely their catalysis. We screened a set of carefully selected genes by quantifying the contribution of catalysis to gene-deletion phenotypes under different environmental conditions. While most phenotypes were explained by loss of catalysis, 30% could be readily complemented by a catalytically-inactive enzyme. Such non-catalytic phenotypes were frequent in the Alt1 and Bat2 transaminases and in the isoleucine/valine-biosynthetic enzymes Ilv1 and Ilv2, suggesting novel "moonlighting" activities in these proteins. Furthermore, differential genetic-interaction profiles of gene-deletion and catalytic mutants indicated thatILV1is functionally associated to regulatory processes, specifically to chromatin modification. Our systematic study shows that gene-loss phenotypes and their genetic interactions are frequently not driven by the loss of an annotated catalytic function, underscoring the moonlighting nature of cellular metabolism.

An increasing number of multifunctional proteins are being identified, but it is still unclear to what extent proteins moonlight beyond their annotated... A single gene can partake in several biological processes, and therefore gene deletions can lead to different—sometimes unexpected—phenotypes. However, it is not always clear whether such pleiotropy reflects the loss of a unique molecular activity involved in different processes or the loss of a multifunctional protein. Here, using Saccharomyces cerevisiae metabolism as a model, we systematically test the null hypothesis that enzyme phenotypes depend on a single annotated molecular function, namely their catalysis. We screened a set of carefully selected genes by quantifying the contribution of catalysis to gene deletion phenotypes under different environmental conditions. While most phenotypes were explained by loss of catalysis, slow growth was readily rescued by a catalytically inactive protein in about one-third of the enzymes tested. Such noncatalytic phenotypes were frequent in the Alt1 and Bat2 transaminases and in the isoleucine/valine biosynthetic enzymes Ilv1 and Ilv2, suggesting novel “moonlighting” activities in these proteins. Furthermore, differential genetic interaction profiles of gene deletion and catalytic mutants indicated that ILV1 is functionally associated with regulatory processes, specifically to chromatin modification. Our systematic study shows that gene loss phenotypes and their genetic interactions are frequently not driven by the loss of an annotated catalytic function, underscoring the moonlighting nature of cellular metabolism.

This protocol describes chemical transformation of

This protocol includes two methods for genomic DNA preparation from

This protocol describes computational analysis of genetic interaction screens, ranging from data capture (plate imaging) to downstream analyses. Plate imaging approaches using both digital camera and office flatbed scanners are included, along with a protocol for the extraction of colony size measurements from the resulting images. A commonly used genetic interaction scoring method, calculation of the S-score, is discussed. These methods require minimal computer skills, but some familiarity with MATLAB and Linux/Unix is a plus. Finally, an outline for using clustering and visualization software for analysis of resulting data sets is provided.

This protocol describes an optimized high-throughput procedure for generating double deletion mutants in

Epistasis mapping, in which the phenotype that emerges from combining pairs of mutations is measured quantitatively, is a powerful tool for unbiased study of gene function. When performed at a large scale, this approach has been used to assign function to previously uncharacterized genes, define functional modules and pathways, and study their cross talk. These experiments rely heavily on methods for rapid sampling of binary combinations of mutant alleles by systematic generation of a series of double mutants. Epistasis mapping technologies now exist in various model systems. Here we provide an overview of different epistasis mapping technologies, including the pombe epistasis mapper (PEM) system designed for the collection of quantitative genetic interaction data in fission yeast

Mammalian lipid homeostasis requires proteolytic activation of membrane-bound sterol regulatory element binding protein (SREBP) transcription factors through sequential action of the Golgi Site-1 and Site-2 proteases. Here, we report that while SREBP function is conserved in fungi, fission yeast employs a different mechanism for SREBP cleavage. Using genetics and biochemistry, we identified four genes defective for SREBP cleavage, dsc1–4, encoding components of a transmembrane Golgi E3 ligase complex with structural homology to the Hrd1 E3 ligase complex involved in endoplasmic reticulum-associated degradation. The Dsc complex binds SREBP and cleavage requires components of the ubiquitin-proteasome pathway: the E2 conjugating enzyme Ubc4, the Dsc1 RING E3 ligase and the proteasome. dsc mutants display conserved aggravating genetic interactions with components of the multivesicular body pathway in fission yeast and budding yeast, which lacks SREBP. Together, these data suggest that the Golgi Dsc E3 ligase complex functions in a post-ER pathway for protein degradation.

Perturbation of the cytoplasmic protein folding environment by exposure to oxidative stress-inducing As(III)-containing compounds challenges the ubiquitin-proteasome system. Here we report on mass spectrometric analysis of As(III)-induced changes in the proteasome's composition in samples prepared by stable isotope labeling with amino acids in cell culture, using mammalian cells in which TRP32 (thioredoxin-related protein of 32 kDa; also referred to as TXNL1) was identified as a novel subunit of the 26 S proteasome. Quantitative genetic interaction mapping, using the epistatic miniarray profiling approach, identified a functional connection between TRP32 and the proteasome. Deletion of txl1, the Schizosaccharomyces pombe homolog of TRP32, results in a slow growth phenotype when combined with deletion of cut8, a gene required for normal proteasome localization. Deletion analysis in vivo, chemical cross-linking, and manipulation of the ATP concentration in vitro during proteasome immunopurification revealed that the C-terminal domain of mammalian TRP32 binds the 19 S regulatory particle in proximity to the proteasome substrate binding site. Thiol modification with polyethylene glycol-maleimide showed disulfide bond formation at the active site of TRP32 in cells exposed to As(III). Pulse-chase labeling showed that TRP32 is a stable protein whose half-life of >6 h is surprisingly reduced to 1 h upon exposure of cells to As(III). These findings reveal a previously undescribed thiol reductase at the proteasome's regulatory particle.

Epistasis analysis, which reports on the extent to which the function of one gene depends on the presence of a second, is a powerful tool for studying the functional organization of the cell. Systematic genome-wide studies of epistasis, however, have been limited, with the majority of data being collected in the budding yeast, Saccharomyces cerevisiae. Here we present two 'pombe epistasis mapper' strategies, PEM-1 and PEM-2, which allow for high-throughput double mutant generation in the fission yeast, S. pombe. These approaches take advantage of a previously undescribed, recessive, cycloheximide-resistance mutation. Both systems can be used for genome-wide screens or for the generation of high-density, quantitative epistatic miniarray profiles (E-MAPs). Since S. cerevisiae and S. pombe are evolutionary distant, this methodology will provide insight into conserved biological pathways that are present in S. pombe, but not S. cerevisiae, and will enable a comprehensive analysis of the conservation of genetic interaction networks.

Although numerous regulatory connections between pre-mRNA splicing and chromatin have been demonstrated, the precise mechanisms by which chromatin factors influence spliceosome assembly and/or catalysis remain unclear. To probe the genetic network of pre-mRNA splicing in the fission yeast Schizosaccharomyces pombe, we constructed an epistatic mini-array profile (E-MAP) and discovered many new connections between chromatin and splicing. Notably, the nucleosome remodeler SWI/SNF had strong genetic interactions with components of the U2 snRNP SF3 complex. Overexpression of SF3 components in ΔSWI/SNF cells led to inefficient splicing of many fission yeast introns, predominantly those with non-consensus splice sites. Deletion of SWI/SNF decreased recruitment of the splicing ATPase Prp2, suggesting that SWI/SNF promotes co-transcriptional spliceosome assembly prior to first step catalysis. Importantly, defects in SWI/SNF as well as SF3 overexpression each altered nucleosome occupancy along intron-containing genes, illustrating that the chromatin landscape both affects—and is affected by—co-transcriptional splicing., Author Summary It has recently become apparent that most introns are removed from pre-mRNA while the transcript is still engaged with RNA polymerase II (RNAPII). To gain insight into possible roles for chromatin in co-transcriptional splicing, we generated a genome-wide genetic interaction map in fission yeast and uncovered numerous connections between splicing and chromatin. The SWI/SNF remodeling complex is typically thought to activate gene expression by relieving barriers to polymerase elongation imposed by nucleosomes. Here we show that this remodeler is important for an early step in splicing in which Prp2, an RNA-dependent ATPase, is recruited to the assembling spliceosome to promote catalytic activation. Interestingly, introns with sub-optimal splice sites are particularly dependent on SWI/SNF, suggesting the impact of nucleosome dynamics on the kinetics of spliceosome assembly and catalysis. By monitoring nucleosome occupancy, we show significant alterations in nucleosome density in particular splicing and chromatin mutants, which generally paralleled the levels of RNAPII. Taken together, our findings challenge the notion that nucleosomes simply act as barriers to elongation; rather, we suggest that polymerase pausing at nucleosomes can activate gene expression by allowing more time for co-transcriptional splicing.

The replicative DNA helicases can unwind DNA in the absence of polymerase activity in vitro. In contrast, replicative unwinding is coupled with DNA synthesis in vivo. The temperature-sensitive yeast polymerase alpha/primase mutants cdc17-1, pri2-1 and pri1-m4, which fail to execute the early step of DNA replication, have been used to investigate the interaction between replicative unwinding and DNA synthesis in vivo. We report that some of the plasmid molecules in these mutant strains became extensively negatively supercoiled when DNA synthesis is prevented. In contrast, additional negative supercoiling was not detected during formation of DNA initiation complex or hydroxyurea replication fork arrest. Together, these results indicate that the extensive negative supercoiling of DNA is a result of replicative unwinding, which is not followed by DNA synthesis. The limited number of unwound plasmid molecules and synthetic lethality of polymerase alpha or primase with checkpoint mutants suggest a checkpoint regulation of the replicative unwinding. In concordance with this suggestion, we found that the Tof1/Csm3/Mrc1 checkpoint complex interacts directly with the MCM helicase during both replication fork progression and when the replication fork is stalled.

The sequential application of protein tagging, affinity purification, and mass spectrometry enables highly accurate charting of proteomic environments by the characterization of stable protein assemblies and the identification of subunits that are shared between two or more protein complexes, termed here "proteomic hyperlinks." We have charted the proteomic environments surrounding the histone methyltransferase, Set1, in both yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe. Although the composition of these nonessential Set1 complexes is remarkably conserved, they differ with respect to their hyperlinks to their proteomic environments. We speculate that conservation of the core components of protein assemblies and variability of hyperlinks represents a general principle in the molecular organization of eukaryotic proteomes.

Histone 3 lysine 4 (H3 Lys(4)) methylation in Saccharomyces cerevisiae is mediated by the Set1 complex (Set1C) and is dependent upon ubiquitinylation of H2B by Rad6. Mutually exclusive methylation of H3 at Lys(4) or Lys(9) is central to chromatin regulation; however, S. cerevisiae lacks Lys(9) methylation. Furthermore, a different H3 Lys(4) methylase, Set 7/9, has been identified in mammals, thereby questioning the relevance of the S. cerevisiae findings for eukaryotes in general. We report that the majority of Lys(4) methylation in Schizosaccharomyces pombe, like in S. cerevisiae, is mediated by Set1C and is Rad6-dependent. S. pombe Set1C mediates H3 Lys(4) methylation in vitro and contains the same eight subunits found in S. cerevisiae, including the homologue of the Drosophila trithorax Group protein, Ash2. Three additional features of S. pombe Set1C each involve PHD fingers. Notably, the Spp1 subunit is dispensable for H3 Lys(4) methylation in budding yeast but required in fission yeast, and Sp_Set1C has a novel proteomic hyperlink to a new complex that includes the homologue of another trithorax Group protein, Lid (little imaginal discs). Thus, we infer that Set1C is highly conserved in eukaryotes but observe that its links to the proteome are not.

We employed a combination of tandem affinity purification and mass spectrometry for deciphering protein complexes and the protein interaction network in budding yeast. 53 genes were epitope-tagged, and their interaction partners were isolated by two-step immunoaffinity chromatography from whole cell lysates. 38 baits pulled down a total of 220 interaction partners, which are members of 19 functionally distinct protein complexes. We identified four proteins shared between complexes of different functionality thus charting segments of a protein interaction network. Concordance with the results of genome-wide two-hybrid screening was poor (14% of identified interactors overlapped) suggesting that the two approaches may provide complementary views on physical interactions within the proteome.

This protocol describes an optimized high-throughput procedure for generating double deletion mutants in Schizosaccharomyces pombe using the colony replicating robot ROTOR HDA and the PEM (pombe epistasis mapper) system. The method is based on generating high-density colony arrays (1536 colonies per agar plate) and passaging them through a series of antidiploid and mating-type selection (ADS-MTS) and double-mutant selection (DMS) steps. Detailed program parameters for each individual replication step are provided. Using this procedure, batches of 25 or more screens can be routinely performed.

This protocol includes two methods for genomic DNA preparation from Schizosaccharomyces pombe. The first is a quick method for preparation of DNA suitable for polymerase chain reaction (PCR) genotyping. The second, longer method yields high-quality DNA that can be used for amplification of targeting cassettes.

This protocol describes chemical transformation of Schizosaccharomyces pombe with linear DNA in a 96-well format. This procedure has been successfully used for large-scale strain construction in fission yeast.

Background The evolutionarily conserved DNA mismatch repair (MMR) system corrects base-substitution and insertion-deletion mutations generated during erroneous replication. The mutation or inactivation of many MMR factors strongly predisposes to cancer, where the resulting tumors often display resistance to standard chemotherapeutics. A new direction to develop targeted therapies is the harnessing of synthetic genetic interactions, where the simultaneous loss of two otherwise non-essential factors leads to reduced cell fitness or death. High-throughput screening in human cells to directly identify such interactors for disease-relevant genes is now widespread, but often requires extensive case-by-case optimization. Here we asked if conserved genetic interactors (CGIs) with MMR genes from two evolutionary distant yeast species (Saccharomyces cerevisiae and Schizosaccharomyzes pombe) can predict orthologous genetic relationships in higher eukaryotes. Methods High-throughput screening was used to identify genetic interaction profiles for the MutSα and MutSβ heterodimer subunits (msh2Δ, msh3Δ, msh6Δ) of fission yeast. Selected negative interactors with MutSβ (msh2Δ/msh3Δ) were directly analyzed in budding yeast, and the CGI with SUMO-protease Ulp2 further examined after RNA interference/drug treatment in MSH2-deficient and -proficient human cells. Results This study identified distinct genetic profiles for MutSα and MutSβ, and supports a role for the latter in recombinatorial DNA repair. Approximately 28% of orthologous genetic interactions with msh2Δ/msh3Δ are conserved in both yeasts, a degree consistent with global trends across these species. Further, the CGI between budding/fission yeast msh2 and SUMO-protease Ulp2 is maintained in human cells (MSH2/SENP6), and enhanced by Olaparib, a PARP inhibitor that induces the accumulation of single-strand DNA breaks. This identifies SENP6 as a promising new target for the treatment of MMR-deficient cancers. Conclusion Our findings demonstrate the utility of employing evolutionary distance in tractable lower eukaryotes to predict orthologous genetic relationships in higher eukaryotes. Moreover, we provide novel insights into the genome maintenance functions of a critical DNA repair complex and propose a promising targeted treatment for MMR deficient tumors. Electronic supplementary material The online version of this article (doi:10.1186/s13073-014-0068-4) contains supplementary material, which is available to authorized users.

Chromatin regulatory proteins affect diverse developmental and environmental response pathways via their influence on nuclear processes such as the regulation of gene expression. Through a genome-wide genetic screen, we implicate a novel protein called X-chromosome-associated protein 5 (Xap5) in chromatin regulation. We show that Xap5 is a chromatin-associated protein acting in a similar manner as the histone variant H2A.Z to suppress expression of antisense and repeat element transcripts throughout the fission yeast genome. Xap5 is highly conserved across eukaryotes, and a plant homolog rescues xap5 mutant yeast. We propose that Xap5 likely functions as a chromatin regulator in diverse organisms.

The SET domain proteins, SUV39 and G9a have recently been shown to be histone methyltransferases specific for lysines 9 and 27 (G9a only) of histone 3 (H3). The SET domains of the Saccharomyces cerevisiae Set1 and Drosophila trithorax proteins are closely related to each other but distinct from SUV39 and G9a. We characterized the complex associated with Set1 and Set1C and found that it is comprised of eight members, one of which, Bre2, is homologous to the trithorax-group (trxG) protein, Ash2. Set1C requires Set1 for complex integrity and mutation of Set1 and Set1C components shortens telomeres. One Set1C member, Swd2/Cpf10 is also present in cleavage polyadenylation factor (CPF). Set1C methylates lysine 4 of H3, thus adding a new specificity and a new subclass of SET domain proteins known to methyltransferases. Since methylation of H3 lysine 4 is widespread in eukaryotes, we screened the databases and found other Set1 homologues. We propose that eukaryotic Set1Cs are H3 lysine 4 methyltransferases and are related to trxG action through association with Ash2 homologues.

A simple and reliable quantitative assay for measuring cellular DNA repair capacity has been developed. It is based on the host cell reactivation of the UV-irradiated plasmid pEGFP carrying the marker gene for the enhanced green fluorescent protein (EGFP). As a reference we used the plasmid pEYFP carrying the gene for a red-shifted fluorescent protein (EYFP). Both proteins can be excited by visible light with a maximum at 488 nm, but EGFP emits with a maximum at 509 nm, while EYFP emits with a maximum at 527 nm. This makes it possible to monitor the expression of the two genes simultaneously by measuring the fluorescence at two wavelengths. HEK293 cells were cotransfected with a mixture of UV-irradiated pEGFP and undamaged pEYFP. At different time intervals after transfection the fluorescence of EGFP was determined relative to the fluorescence of EYFP to compensate for any differences in the transfection efficiency or other experimental variables. It was used to calculate the number of UV lesions in DNA and hence the repair capacity of the host cells. It was found that HEK293 cells were able to repair approximately 1.4 UV lesions per 1000 nucleotides DNA for 12 h on the average.

Stable compartments of the plasma membrane promote a wide range of cellular functions. In yeast cells, cytosolic structures called eisosomes generate prominent cortical invaginations of unknown function. Through a series of genetic screens in fission yeast, we found that the eisosome proteins Pil1 and Sle1 function with the synaptojanin-like lipid phosphatase Syj1 and its ligand Tax4. This genetic pathway connects eisosome function with the hydrolysis of phosphatidylinositol (4,5)-bisphosphate [PI(4,5)P2] in cells. Defects in PI(4,5)P2 regulation led to eisosome defects, and we found that the core eisosome protein Pil1 can bind to and tubulate liposomes containing PI(4,5)P2. Mutations in components of the Pil1–Sle1–Syj1–Tax4 pathway suppress the growth and morphology defects of TORC2 mutants, indicating that eisosome-dependent regulation of PI(4,5)P2 feeds into signal transduction pathways. We propose that the geometry of membrane invaginations generates spatial and temporal signals for lipid-mediated signaling events in cells.

Pairwise gene knockdown creates genetic interaction maps for 130 mammalian genes. Mapping genetic interactions (GIs) by simultaneously perturbing pairs of genes is a powerful tool for understanding complex biological phenomena. Here we describe an experimental platform for generating quantitative GI maps in mammalian cells using a combinatorial RNA interference strategy. We performed ∼11,000 pairwise knockdowns in mouse fibroblasts, focusing on 130 factors involved in chromatin regulation to create a GI map. Comparison of the GI and protein-protein interaction (PPI) data revealed that pairs of genes exhibiting positive GIs and/or similar genetic profiles were predictive of the corresponding proteins being physically associated. The mammalian GI map identified pathways and complexes but also resolved functionally distinct submodules within larger protein complexes. By integrating GI and PPI data, we created a functional map of chromatin complexes in mouse fibroblasts, revealing that the PAF complex is a central player in the mammalian chromatin landscape.

Ribonucleotide reductase (RNR) and deoxycytidylate deaminase (dCMP deaminase) are pivotal allosteric enzymes required to maintain adequate pools of deoxyribonucleoside triphosphates (dNTPs) for DNA synthesis and repair. Whereas RNR inhibition slows DNA replication and activates checkpoint responses, the effect of dCMP deaminase deficiency is largely unknown. Here, we report that deleting the Schizosaccharomyces pombe dcd1(+) dCMP deaminase gene (SPBC2G2.13c) increases dCTP ∼30-fold and decreases dTTP ∼4-fold. In contrast to the robust growth of a Saccharomyces cerevisiae dcd1Δ mutant, fission yeast dcd1Δ cells delay cell cycle progression in early S phase and are sensitive to multiple DNA-damaging agents, indicating impaired DNA replication and repair. DNA content profiling of dcd1Δ cells differs from an RNR-deficient mutant. Dcd1 deficiency activates genome integrity checkpoints enforced by Rad3 (ATR), Cds1 (Chk2), and Chk1 and creates critical requirements for proteins involved in recovery from replication fork collapse, including the γH2AX-binding protein Brc1 and Mus81 Holliday junction resolvase. These effects correlate with increased nuclear foci of the single-stranded DNA binding protein RPA and the homologous recombination repair protein Rad52. Moreover, Brc1 suppresses spontaneous mutagenesis in dcd1Δ cells. We propose that replication forks stall and collapse in dcd1Δ cells, burdening DNA damage and checkpoint responses to maintain genome integrity.

To date, cross-species comparisons of genetic interactomes have been restricted to small or functionally related gene sets, limiting our ability to infer evolutionary trends. To facilitate a more comprehensive analysis, we constructed a genome-scale epistasis map (E-MAP) for the fission yeast Schizosaccharomyces pombe, providing phenotypic signatures for ~60% of the nonessential genome. Using these signatures, we generated a catalog of 297 functional modules, and we assigned function to 144 previously uncharacterized genes, including mRNA splicing and DNA damage checkpoint factors. Comparison with an integrated genetic interactome from the budding yeast Saccharomyces cerevisiae revealed a hierarchical model for the evolution of genetic interactions, with conservation highest within protein complexes, lower within biological processes, and lowest between distinct biological processes. Despite the large evolutionary distance and extensive rewiring of individual interactions, both networks retain conserved features and display similar levels of functional crosstalk between biological processes, suggesting general design principles of genetic interactomes. Map to Biomolecular & Biomedical Science - OR 10/07/2013 Move to CSI collection when live -OR 10/09/2013 TS 19.07.13

Genetic interactions represent the degree to which the presence of one mutation modulates the phenotype of a second mutation. In recent years, approaches for measuring genetic interactions systematically and quantitatively have proven to be effective tools for unbiased characterization of gene function and have provided valuable data for analyses of evolution. Here, we present protocols for systematic measurement of genetic interactions with respect to organismal growth rate for two yeast species.