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Chung–Jansen syndrome (CJS) is a rare, autosomal dominant disorder characterized by developmental delay, intellectual disability/cognitive impairment, behavioral challenges, obesity, and dysmorphic features. CJS is associated with heterozygous variants in PHIP (Pleckstrin-Homology Interacting Protein), a gene that encodes one of several substrate receptors for Cullin4-RING (CRL4) E3 ubiquitin ligase complex. Full-length PHIP, also called DCAF14, was recently identified to function as a replication stress response protein. Herein, we report the identification of two PHIP missense variants identified by exome sequencing in unrelated individuals with CJS. The variants p.D488V and p.E963G occur in different functional elements of DCAF14-WD40 repeat domain and pleckstrin homology-binding region (PBR), respectively. Using DNA fiber assays, we reveal that cells expressing either variant exhibit defective replication fork progression in conditions of replication stress. Furthermore, unlike wild-type DCAF14, both variants fail to accomplish DNA replication after exposure to genotoxic stress indicating a critical role of DCAF14 in protecting stalled replication forks. Thus, we have identified replication defects associated with CJS variants and predict replication-associated genome instability with CJS syndrome.

SUMMARY Replication stress response ensures impediments to DNA replication do not compromise replication fork stability and genome integrity. In a process termed replication fork protection, newly synthesized DNA at stalled replication forks is stabilized and protected from nuclease-mediated degradation. We report the identification of DDB1- and CUL4-associated factor 14 (DCAF14), a substrate receptor for Cullin4-RING E3 ligase (CRL4) complex, integral in stabilizing stalled replication forks. DCAF14 localizes rapidly to stalled forks and promotes genome integrity by preventing fork collapse into double-strand breaks (DSBs). Importantly, CRL4DCAF14 mediates stalled fork protection in a RAD51-dependent manner to protect nascent DNA from MRE11 and DNA2 nucleases. Thus, our study shows replication stress response functions of DCAF14 in genome maintenance., In Brief Townsend et al. find that DDB1- and CUL4-associated factor DCAF14 is recruited to stalled replication forks. DCAF14 prevents replication fork collapse in a CRL4-dependent manner to promote genome stability and cell survival. DCAF14 depletion triggers nascent strand degradation that is reversible by enhancing RAD51 levels at forks., Graphical Abstract

The ATR checkpoint kinase coordinates cellular responses to DNA replication stress. Budding yeast contain three activators of Mec1 (the ATR orthologue); however, only TOPBP1 is known to activate ATR in vertebrates. We identified ETAA1 as a replication stress response protein in two proteomic screens. ETAA1-deficient cells accumulate double-strand breaks, sister chromatid exchanges, and other hallmarks of genome instability. They are also hyper-sensitive to replication stress and have increased frequencies of replication fork collapse. ETAA1 contains two RPA-interaction motifs that localize ETAA1 to stalled replication forks. It also interacts with several DNA damage response proteins including the BLM/TOP3α/RMI1/RMI2 and ATR/ATRIP complexes. It binds ATR/ATRIP directly using a motif with sequence similarity to the TOPBP1-ATR activation domain; and like TOPBP1, ETAA1 acts as a direct ATR activator. ETAA1 functions in parallel to the TOPBP1/RAD9/HUS1/RAD1 pathway to regulate ATR and maintain genome stability. Thus, vertebrate cells contain at least two ATR activating proteins.

The ATR replication checkpoint ensures that stalled forks remain stable when replisome movement is impeded. Using an improved iPOND protocol combined with SILAC mass spectrometry, we characterized human replisome dynamics in response to fork stalling. Our data provide a quantitative picture of the replisome and replication stress response proteomes in 32 experimental conditions. Importantly, rather than stabilize the replisome, the checkpoint prevents two distinct types of fork collapse. Unsupervised hierarchical clustering of protein abundance on nascent DNA is sufficient to identify protein complexes and place newly identified replisome-associated proteins into functional pathways. As an example, we demonstrate that ZNF644 complexes with the G9a/GLP methyltransferase at replication forks and is needed to prevent replication-associated DNA damage. Our data reveal how the replication checkpoint preserves genome integrity, provide insights into the mechanism of action of ATR inhibitors, and will be a useful resource for replication, DNA repair, and chromatin investigators.

Isogenic wild type yeast cells raised in controlled environments display a significant range of lifespan variation. Recent microfluidic studies suggest that differential growth or gene expression patterns may explain some of the heterogeneity of aging assays. Herein, we sought to complement this work by similarly examining a large set of replicative lifespan data from traditional plate assays. In so doing, we reproduced the finding that short-lived cells tend to arrest at senescence with a budded morphology. Further, we found that wild type cells born unusually small did not have an extended lifespan. However, large birth size and/or high inter-generational growth rates significantly correlated with a reduced lifespan. Finally, we found that SIR2 expression levels correlated with lifespan and intergenerational growth. SIR2 expression was significantly reduced in large cells and increased in small wild type cells. A moderate increase in SIR2 expression correlated with reduced growth, decreased proliferation and increased lifespan in plate aging assays. We conclude that cellular growth rates and SIR2 expression levels may contribute to lifespan variation in individual cells.

RAD51 promotes homology-directed repair (HDR), replication fork reversal, and stalled fork protection. Defects in these functions cause genomic instability and tumorigenesis but also generate hypersensitivity to cancer therapeutics. Here we describe the identification of RADX as an RPA-like, single-strand DNA binding protein. RADX is recruited to replication forks, where it prevents fork collapse by regulating RAD51. When RADX is inactivated, excessive RAD51 activity slows replication elongation and causes double-strand breaks. In cancer cells lacking BRCA2, RADX deletion restores fork protection without restoring HDR. Furthermore, RADX inactivation confers chemotherapy and PARP inhibitor resistance to cancer cells with reduced BRCA2/RAD51 pathway function. By antagonizing RAD51 at forks, RADX allows cells to maintain a high capacity for HDR while ensuring that replication functions of RAD51 are properly regulated. Thus, RADX is essential to achieve the proper balance of RAD51 activity to maintain genome stability.

Both DNA and chromatin need to be duplicated during each cell division cycle. Replication happens in the context of defects in the DNA template and other forms of replication stress that present challenges to both genetic and epigenetic inheritance. The replication machinery is highly regulated by replication stress responses to accomplish this goal. To identify important replication and stress response proteins, we combined isolation of proteins on nascent DNA (iPOND) with quantitative mass spectrometry. We identified 290 proteins enriched on newly replicated DNA at active, stalled, and collapsed replication forks. Approximately 16% of these proteins are known replication or DNA damage response proteins. Genetic analysis indicates that several of the newly identified proteins are needed to facilitate DNA replication, especially under stressed conditions. Our data provide a useful resource for investigators studying DNA replication and the replication stress response and validate the use of iPOND combined with mass spectrometry as a discovery tool. Background: DNA replication and the replication stress response require the coordinated actions of many proteins. Results: iPOND coupled with mass spectrometry identified 290 proteins associated with active, stalled, or collapsed replication forks. Conclusion: iPOND-MS is a useful discovery tool. Significance: The data increase our understanding of the network of proteins involved in DNA replication and the replication stress response.

Numerous observations support the existence of senescence factors in yeast. Historically, the asymmetric propagation and accumulation of extra-chromosomal ribosomal DNA circles (ERCs) has been proposed to fulfill this function. On the other hand, several recent papers have re-invigorated the discussion of a potential role for cell size and/or hypertrophy in yeast senescence. While studies have revealed evidence both in favor of and against the hypertrophy model, the prevalent dogma largely discounts a potential role for cell size in the control of cellular lifespan. However, new results not only demonstrate a correlation between cell size and senescence, but allude to a causative role of cell size and hypertrophy in aging. In particular, the degree of hypertrophy, as determined by the rate of cell growth per generation, appears to function as a major determinant of cellular lifespan. Herein, in light of these new data, we examine the recent debate regarding a potential role for cell size in yeast aging, address criticisms of this model, and suggest that the balance is tipping in favor of hypertrophy having a causative role in aging, albeit not as the sole “aging factor.”

The budding yeast Saccharomyces cerevisiae and fission yeast Schizosaccharomyces pombe are amongst the simplest and most powerful model systems for studying the genetics of cell cycle control. Because yeast grows very rapidly in a simple and economical media, large numbers of cells can easily be obtained for genetic, molecular, and biochemical studies of the cell cycle. The use of synchronized cultures greatly aids in the ease and interpretation of cell cycle studies. In principle, there are two general methods for obtaining synchronized yeast populations. Block-and-release methods can be used to induce cell cycle synchrony. Alternatively, centrifugal elutriation can be used to select synchronous populations. Because each method has innate advantages and disadvantages, the use of multiple approaches helps in generalizing results. An overview of the most commonly used methods to generate synchronized yeast cultures is presented along with working Notes: a section that includes practical comments, experimental considerations and observations, and hints regarding the pros and cons innate to each approach.

A consortium of yeast geneticists have created -6000 individual ORF deletions, representing > 96% of the currently verified or predicted ORFs in S. cerevisiae. Importantly, molecular barcodes (each a unique 20 bp sequence termed either Uptag or Downtag) were used as identifiers for every ORF deletion. Microarray analyses of pooled yeast deletions has been used to identify thousands of genes involved in general fitness, haploinsufficiency, drug resistance and DNA damage repair. However, application of this powerful technology requires considerable expense, expertise and specialized equipment. While standard PCR techniques and specifically designed PCR primers can be used to confirm that a given ORF is in fact deleted, this procedure cannot be used to identify unknown deletions. In theory, every ORF deletion could be determined by barcode sequencing. However, neither a consolidated barcode database nor a reliable search engine is currently available for this purpose. To address this need, we have adapted a FASTA sequence program that utilizes the unique barcode database to allow users to identify individual ORF deletions, based upon simple sequencing reactions of PCR amplifications of either Uptag or Downtag barcodes. In silico and practical testing of this application reveals that it is an inexpensive, reliable and reproducible method for rapidly identifying unknown deletions. This approach allows laboratories to conduct small- or large-scale genetic screens with pooled yeast deletion strains and identify or verify any ORF deletion without the need for microarray technology.

Yeast cells, like mammalian cells, enlarge steadily as they age. Unabated cell growth can promote cellular senescence; however, the significance of the relationship between size and cellular lifespan is not well understood. Herein, we report a genetic link between cell size, growth rate and lifespan. Mutations that increase cell size concomitantly increase growth rate and decrease lifespan. As a result, large cells grow, divide and age dramatically faster than small cells. Conversely, small cell mutants age slowly and are long-lived. Investigation of the mechanisms involved suggests that attainment of a maximal size modulates lifespan. Indeed, cumulative results revealed that life expectancy is size-dependent, and that the rate at which cells age is determined in large part by the amount of cell growth per generation.

The replisome is a large protein machine containing multiple enzymatic activities needed to complete DNA replication. In addition to helicase and polymerases needed for copying the DNA, the replisome also contains proteins like DNA methyltransferases, histone chaperones, and chromatin modifying enzymes to couple DNA replication with chromatin deposition and establishment of the epigenetic code. In addition, since template DNA strands often contain DNA damage or other roadblocks to the replication machinery, replication stress response proteins associate with the replisome to stabilize, repair, and restart stalled replication forks. Hundreds of proteins are needed to accomplish these tasks. Identifying these proteins, monitoring their posttranslational modifications, and understanding how their activities are coordinated is essential to understand how the genome and epigenome are duplicated rapidly, completely, and accurately every cell division cycle. Here we describe an updated iPOND (isolation of proteins on nascent DNA) method to facilitate these analyses.

SummaryIs bigger better? Scientists have long puzzled over the potential relationship between cell size and the rate of mRNA production. A recent report builds a strong case that global transcription rates scale with size.

The budding yeast Saccharomyces cerevisiae and fission yeast Schizosaccharomyces pombe are amongst the simplest and most powerful model systems for studying the genetics of cell cycle control. Because yeast grows very rapidly in simple and economical media, large numbers of cells can easily be obtained for genetic, molecular, and biochemical studies of the cell cycle. The use of synchronized cultures greatly aids in the ease and interpretation of cell cycle studies. In principle, there are two general methods for obtaining synchronized yeast populations. Block and release methods can be used to induce cell cycle synchrony. Alternatively, centrifugal elutriation can be used to select synchronous populations. Because each method has innate advantages and disadvantages, the use of multiple approaches helps in generalizing results. An overview of the most commonly used methods to generate synchronized yeast cultures is presented along with working Notes, a section that includes practical comments, experimental considerations and observations, and hints regarding the pros and cons innate to each approach.

The budding yeast Saccharomyces cerevisiae and fission yeast Schizosaccharomyces pombe are amongst the simplest and most powerful model systems for studying the genetics of cell cycle control. Because yeast grows very rapidly in a simple and economical media, large numbers of cells can easily be obtained for genetic, molecular, and biochemical studies of the cell cycle. The use of synchronized cultures greatly aids in the ease and interpretation of cell cycle studies. In principle, there are two general methods for obtaining synchronized yeast populations. Block-and-release methods can be used to induce cell cycle synchrony. Alternatively, centrifugal elutriation can be used to select synchronous populations. Because each method has innate advantages and disadvantages, the use of multiple approaches helps in generalizing results. An overview of the most commonly used methods to generate synchronized yeast cultures is presented along with working Notes: a section that includes practical comments, experimental considerations and observations, and hints regarding the pros and cons innate to each approach.

Cell size homeostasis is a conserved attribute in many eukaryotic species involving a tight regulation between the processes of growth and proliferation. In budding yeast S. cerevisiae, growth to a “critical cell size” must be achieved before a cell can progress past START and commit to cell division. Numerous studies have shown that progression past START is actively regulated by cell size control genes, many of which have implications in cell cycle control and cancer. Two initial screens identified genes that strongly modulate cell size in yeast. Since a second generation yeast gene knockout collection has been generated, we screened an additional 779 yeast knockouts containing 435 new ORFs (~7% of the yeast genome) to supplement previous cell size screens. Upon completion, 10 new strong size mutants were identified: nine in log-phase cells and one in saturation-phase cells, and 97% of the yeast genome has now been screened for cell size mutations. The majority of the logarithmic phase size mutants have functions associated with translation further implicating the central role of growth control in the cell division process. Genetic analyses suggest ECM9 is directly associated with the START transition. Further, the small (whi) mutants mrpl49Δ and cbs1Δ are dependent on CLN3 for cell size effects. In depth analyses of new size mutants may facilitate a better understanding of the processes that govern cell size homeostasis.