Transcriptome-wide Interrogation of the Functional Intronome by Spliceosome Profiling.

Full understanding of eukaryotic transcriptomes and how they respond to different conditions requires deep knowledge of all sites of intron excision. Although RNA sequencing (RNA-seq) provides much of this information, the low abundance of many spliced transcripts (often due to their rapid cytoplasmic decay) limits the ability of RNA-seq alone to reveal the full repertoire of spliced species. Here, we present "spliceosome profiling," a strategy based on deep sequencing of RNAs co-purifying with late-stage spliceosomes. Spliceosome profiling allows for unambiguous mapping of intron ends to single-nucleotide resolution and branchpoint identification at unprecedented depths. Our data reveal hundreds of new introns in S. pombe and numerous others that were previously misannotated. By providing a means to directly interrogate sites of spliceosome assembly and catalysis genome-wide, spliceosome profiling promises to transform our understanding of RNA processing in the nucleus, much as ribosome profiling has transformed our understanding mRNA translation in the cytoplasm.

Mapping replication forks, one replicon at a time.

Claussin et al. (2022) present an elegant approach to replication fork mapping that combines single-molecule resolution with genome-wide coverage to provide unprecedented insight into the robust nature of DNA replication.

Genome-wide mapping of human DNA replication by optical replication mapping supports a stochastic model of eukaryotic replication.

The heterogeneous nature of eukaryotic replication kinetics and the low efficiency of individual initiation sites make mapping the location and timing of replication initiation in human cells difficult. To address this challenge, we have developed optical replication mapping (ORM), a high-throughput single-molecule approach, and used it to map early-initiation events in human cells. The single-molecule nature of our data and a total of >2,500-fold coverage of the human genome on 27 million fibers averaging ∼300 kb in length allow us to identify initiation sites and their firing probability with high confidence. We find that the distribution of human replication initiation is consistent with inefficient, stochastic activation of heterogeneously distributed potential initiation complexes enriched in accessible chromatin. These observations are consistent with stochastic models of initiation-timing regulation and suggest that stochastic regulation of replication kinetics is a fundamental feature of eukaryotic replication, conserved from yeast to humans.

DNA replication timing: Biochemical mechanisms and biological significance.

The regulation of DNA replication is a fascinating biological problem both from a mechanistic angle-How is replication timing regulated?-and from an evolutionary one-Why is replication timing regulated? Recent work has provided significant insight into the first question. Detailed biochemical understanding of the mechanism and regulation of replication initiation has made possible robust hypotheses for how replication timing is regulated. Moreover, technical progress, including high-throughput, single-molecule mapping of replication initiation and single-cell assays of replication timing, has allowed for direct testing of these hypotheses in mammalian cells. This work has consolidated the conclusion that differential replication timing is a consequence of the varying probability of replication origin initiation. The second question is more difficult to directly address experimentally. Nonetheless, plausible hypotheses can be made and one-that replication timing contributes to the regulation of chromatin structure-has received new experimental support.

The capacity of origins to load MCM establishes replication timing patterns.

Loading of the MCM replicative helicase at origins of replication is a highly regulated process that precedes DNA replication in all eukaryotes. The stoichiometry of MCM loaded at origins has been proposed to be a key determinant of when those origins initiate replication during S phase. Nevertheless, the genome-wide regulation of MCM loading stoichiometry and its direct effect on replication timing remain unclear. In order to investigate why some origins load more MCM than others, we perturbed MCM levels in budding yeast cells and, for the first time, directly measured MCM levels and replication timing in the same experiment. Reduction of MCM levels through degradation of Mcm4, one of the six obligate components of the MCM complex, slowed progression through S phase and increased sensitivity to replication stress. Reduction of MCM levels also led to differential loading at origins during G1, revealing origins that are sensitive to reductions in MCM and others that are not. Sensitive origins loaded less MCM under normal conditions and correlated with a weak ability to recruit the origin recognition complex (ORC). Moreover, reduction of MCM loading at specific origins of replication led to a delay in their replication during S phase. In contrast, overexpression of MCM had no effects on cell cycle progression, relative MCM levels at origins, or replication timing, suggesting that, under optimal growth conditions, cellular MCM levels are not limiting for MCM loading. Our results support a model in which the loading capacity of origins is the primary determinant of MCM stoichiometry in wild-type cells, but that stoichiometry is controlled by origins' ability to recruit ORC and compete for MCM when MCM becomes limiting.

Cell Size Control via an Unstable Accumulating Activator and the Phenomenon of Excess Mitotic Delay.

Unstable Accumulating Activator models for cellular size control propose an activator that accumulates in a size-dependent manner and triggers cell cycle progression once it has reached a certain threshold. Having a short half life makes such an activator responsive to changes in cell size and makes specific predictions for how cells respond to perturbation. In particular, it explains the curious phenomenon of excess mitotic delay. Excess mitotic delay, first observed in Tetrahymena in the '50s, is a phenomenon in which a pulse of protein synthesis inhibition causes a delay in mitotic entry that is longer than the pulse and that gets longer the later in the cell cycle the pulse is delivered. The interpretation of this phenomenon championed by Zeuthen and Mitchison in the '60s and '70s is that an unstable activator of mitosis is degraded during the pulse and has to be resynthesized to a threshold level to trigger mitosis; small cells have more time to resynthesize the activator before mitosis and so suffer less excess delay, whereas, large cells have less time thus suffer greater excess delay. Fifty years later, with our detailed understanding of cell cycle biochemistry, we can identify and test candidate Unstable Accumulating Activators. Here I review the field and further develop this concept.

Replication fork slowing and stalling are distinct, checkpoint-independent consequences of replicating damaged DNA.

In response to DNA damage during S phase, cells slow DNA replication. This slowing is orchestrated by the intra-S checkpoint and involves inhibition of origin firing and reduction of replication fork speed. Slowing of replication allows for tolerance of DNA damage and suppresses genomic instability. Although the mechanisms of origin inhibition by the intra-S checkpoint are understood, major questions remain about how the checkpoint regulates replication forks: Does the checkpoint regulate the rate of fork progression? Does the checkpoint affect all forks, or only those encountering damage? Does the checkpoint facilitate the replication of polymerase-blocking lesions? To address these questions, we have analyzed the checkpoint in the fission yeast Schizosaccharomyces pombe using a single-molecule DNA combing assay, which allows us to unambiguously separate the contribution of origin and fork regulation towards replication slowing, and allows us to investigate the behavior of individual forks. Moreover, we have interrogated the role of forks interacting with individual sites of damage by using three damaging agents-MMS, 4NQO and bleomycin-that cause similar levels of replication slowing with very different frequency of DNA lesions. We find that the checkpoint slows replication by inhibiting origin firing, but not by decreasing fork rates. However, the checkpoint appears to facilitate replication of damaged templates, allowing forks to more quickly pass lesions. Finally, using a novel analytic approach, we rigorously identify fork stalling events in our combing data and show that they play a previously unappreciated role in shaping replication kinetics in response to DNA damage.

Identification of S-phase DNA damage-response targets in fission yeast reveals conservation of damage-response networks.

The cellular response to DNA damage during S-phase regulates a complicated network of processes, including cell-cycle progression, gene expression, DNA replication kinetics, and DNA repair. In fission yeast, this S-phase DNA damage response (DDR) is coordinated by two protein kinases: Rad3, the ortholog of mammalian ATR, and Cds1, the ortholog of mammalian Chk2. Although several critical downstream targets of Rad3 and Cds1 have been identified, most of their presumed targets are unknown, including the targets responsible for regulating replication kinetics and coordinating replication and repair. To characterize targets of the S-phase DDR, we identified proteins phosphorylated in response to methyl methanesulfonate (MMS)-induced S-phase DNA damage in wild-type, rad3∆, and cds1∆ cells by proteome-wide mass spectrometry. We found a broad range of S-phase-specific DDR targets involved in gene expression, stress response, regulation of mitosis and cytokinesis, and DNA replication and repair. These targets are highly enriched for proteins required for viability in response to MMS, indicating their biological significance. Furthermore, the regulation of these proteins is similar in fission and budding yeast, across 300 My of evolution, demonstrating a deep conservation of S-phase DDR targets and suggesting that these targets may be critical for maintaining genome stability in response to S-phase DNA damage across eukaryotes.

Replication timing is regulated by the number of MCMs loaded at origins.

Replication timing is a crucial aspect of genome regulation that is strongly correlated with chromatin structure, gene expression, DNA repair, and genome evolution. Replication timing is determined by the timing of replication origin firing, which involves activation of MCM helicase complexes loaded at replication origins. Nonetheless, how the timing of such origin firing is regulated remains mysterious. Here, we show that the number of MCMs loaded at origins regulates replication timing. We show for the first time in vivo that multiple MCMs are loaded at origins. Because early origins have more MCMs loaded, they are, on average, more likely to fire early in S phase. Our results provide a mechanistic explanation for the observed heterogeneity in origin firing and help to explain how defined replication timing profiles emerge from stochastic origin firing. These results establish a framework in which further mechanistic studies on replication timing, such as the strong effect of heterochromatin, can be pursued.

How and why multiple MCMs are loaded at origins of DNA replication.

Recent work suggests that DNA replication origins are regulated by the number of multiple mini-chromosome maintenance (MCM) complexes loaded. Origins are defined by the loading of MCM - the replicative helicase which initiates DNA replication and replication kinetics determined by origin's location and firing times. However, activation of MCM is heterogeneous; different origins firing at different times in different cells. Also, more MCMs are loaded in G1 than are used in S phase. These aspects of MCM biology are explained by the observation that multiple MCMs are loaded at origins. Having more MCMs at early origins makes them more likely to fire, effecting differences in origin efficiency that define replication timing. Nonetheless, multiple MCM loading raises new questions, such as how they are loaded, where these MCMs reside at origins, and how their presence affects replication timing. In this review, we address these questions and discuss future avenues of research.

An estradiol-inducible promoter enables fast, graduated control of gene expression in fission yeast.

The fission yeast Schizosaccharomyces pombe lacks a diverse toolkit of inducible promoters for experimental manipulation. Available inducible promoters suffer from slow induction kinetics, limited control of expression levels and/or a requirement for defined growth medium. In particular, no S. pombe inducible promoter systems exhibit a linear dose-response, which would allow expression to be tuned to specific levels. We have adapted a fast, orthogonal promoter system with a large dynamic range and a linear dose response, based on ß-estradiol-regulated function of the human oestrogen receptor, for use in S. pombe. We show that this promoter system, termed Z3 EV, turns on quickly, can reach a maximal induction of 20-fold, and exhibits a linear dose response over its entire induction range, with few off-target effects. We demonstrate the utility of this system by regulating the mitotic inhibitor Wee1 to create a strain in which cell size is regulated by ß-estradiol concentration. This promoter system will be of great utility for experimentally regulating gene expression in fission yeast. Copyright © 2017 John Wiley & Sons, Ltd.

Changing of the guard: how ATM hands off DNA double-strand break signaling to ATR.

In a recent issue of Molecular Cell, Shiotani and Zou (2009) elucidate the biochemical mechanism underlying sequential ATM and ATR activation at DNA double-strand breaks, demonstrating that resection transforms ATM substrates into ATR substrates.

Discovery of genes involved in mitosis, cell division, cell wall integrity and chromosome segregation through construction of Schizosaccharomyces pombe deletion strains.

The fission yeast model system Schizosaccharomyces pombe is used to study fundamental biological processes. To continue to fill gaps in the Sz. pombe gene deletion collection, we constructed a set of 90 haploid gene deletion strains covering many previously uncharacterized genes. To begin to understand the function of these genes, we exposed this collection of strains to a battery of stress conditions. Using this information in combination with microscopy, proteomics and mini-chromosome loss assays, we identified genes involved in cell wall integrity, cytokinesis, chromosome segregation and DNA metabolism. This subset of non-essential gene deletions will add to the toolkits available for the study of biological processes in Sz. pombe. Copyright © 2016 John Wiley & Sons, Ltd.

Replication timing and its emergence from stochastic processes.

The temporal organization of DNA replication has puzzled cell biologists since before the mechanism of replication was understood. The realization that replication timing correlates with important features, such as transcription, chromatin structure and genome evolution, and is misregulated in cancer and aging has only deepened the fascination. Many ideas about replication timing have been proposed, but most have been short on mechanistic detail. However, recent work has begun to elucidate basic principles of replication timing. In particular, mathematical modeling of replication kinetics in several systems has shown that the reproducible replication timing patterns seen in population studies can be explained by stochastic origin firing at the single-cell level. This work suggests that replication timing need not be controlled by a hierarchical mechanism that imposes replication timing from a central regulator, but instead results from simple rules that affect individual origins.

The three most important things about origins: location, location, location.

The reasons why some DNA replication origins fire earlier than others have remained elusive. New work by Gindin et al suggests that the distribution of replication origins, not their timing per se, is the major determinant of the timing of genome replication in human cells.

Evolutionary divergence of intrinsic and trans-regulated nucleosome positioning sequences reveals plastic rules for chromatin organization.

The packaging of eukaryotic genomes into nuclesomes plays critical roles in chromatin organization and gene regulation. Studies in Saccharomyces cerevisiae indicate that nucleosome occupancy is partially encoded by intrinsic antinucleosomal DNA sequences, such as poly(A) sequences, as well as by binding sites for trans-acting factors that can evict nucleosomes, such as Reb1 and the Rsc3/30 complex. Here, we use genome-wide nucleosome occupancy maps in 13 Ascomycota fungi to discover large-scale evolutionary reprogramming of both intrinsic and trans determinants of chromatin structure. We find that poly(G)s act as intrinsic antinucleosomal sequences, comparable to the known function of poly(A)s, but that the abundance of poly(G)s has diverged greatly between species, obscuring their antinucleosomal effect in low-poly(G) species such as S. cerevisiae. We also develop a computational method that uses nucleosome occupancy maps for discovering trans-acting general regulatory factor (GRF) binding sites. Our approach reveals that the specific sequences bound by GRFs have diverged substantially across evolution, corresponding to a number of major evolutionary transitions in the repertoire of GRFs. We experimentally validate a proposed evolutionary transition from Cbf1 as a major GRF in pre-whole-genome duplication (WGD) yeasts to Reb1 in post-WGD yeasts. We further show that the mating type switch-activating protein Sap1 is a GRF in S. pombe, demonstrating the general applicability of our approach. Our results reveal that the underlying mechanisms that determine in vivo chromatin organization have diverged and that comparative genomics can help discover new determinants of chromatin organization.

Checkpoint regulation of replication forks: global or local?

Cell-cycle checkpoints are generally global in nature: one unattached kinetochore prevents the segregation of all chromosomes; stalled replication forks inhibit late origin firing throughout the genome. A potential exception to this rule is the regulation of replication fork progression by the S-phase DNA damage checkpoint. In this case, it is possible that the checkpoint is global, and it slows all replication forks in the genome. However, it is also possible that the checkpoint acts locally at sites of DNA damage, and only slows those forks that encounter DNA damage. Whether the checkpoint regulates forks globally or locally has important mechanistic implications for how replication forks deal with damaged DNA during S-phase.

DNA replication timing: random thoughts about origin firing.

Regions of metazoan genomes replicate at defined times within S phase. This observation suggests that replication origins fire with a defined timing pattern that remains the same from cycle to cycle. However, an alterative model based on the stochastic firing of origins may also explain replication timing. This model assumes varying origin efficiency instead of a strict origin-timing programme. Here, we discuss the evidence for both models.

pomBseen: An automated pipeline for analysis of fission yeast images.

Fission yeast is a model organism widely used for studies of eukaryotic cell biology. As such, it is subject to bright-field and fluorescent microscopy. Manual analysis of such data can be laborious and subjective. Therefore, we have developed pomBseen, an image analysis pipeline for the quantitation of fission yeast micrographs containing a bright-field channel and up to two fluorescent channels. It accepts a wide range of image formats and produces a table with the size and total and nuclear fluorescent intensities of the cells in the image. Benchmarking of the pipeline against manually annotated datasets demonstrates that it reliably segments cells and acquires their image parameters. Written in MATLAB, pomBseen is also available as a standalone application.