Distribution Of Replication Origins Research Articles

A deep learning framework combined with word embedding to identify DNA replication origins

The DNA replication influences the inheritance of genetic information in the DNA life cycle. As the distribution of replication origins (ORIs) is the major determinant to precisely regulate the replication process, the correct identification of ORIs is significant in giving an insightful understanding of DNA replication mechanisms and the regulatory mechanisms of genetic expressions. For eukaryotes in particular, multiple ORIs exist in each of their gene sequences to complete the replication in a reasonable period of time. To simplify the identification process of eukaryote’s ORIs, most of existing methods are developed by traditional machine learning algorithms, and target to the gene sequences with a fixed length. Consequently, the identification results are not satisfying, i.e. there is still great room for improvement. To break through the limitations in previous studies, this paper develops sequence segmentation methods, and employs the word embedding technique, ‘Word2vec’, to convert gene sequences into word vectors, thereby grasping the inner correlations of gene sequences with different lengths. Then, a deep learning framework to perform the ORI identification task is constructed by a convolutional neural network with an embedding layer. On the basis of the analysis of similarity reduction dimensionality diagram, Word2vec can effectively transform the inner relationship among words into numerical feature. For four species in this study, the best models are obtained with the overall accuracy of 0.975, 0.765, 0.885, 0.967, the Matthew’s correlation coefficient of 0.940, 0.530, 0.771, 0.934, and the AUC of 0.975, 0.800, 0.888, 0.981, which indicate that the proposed predictor has a stable ability and provide a high confidence coefficient to classify both of ORIs and non-ORIs. Compared with state-of-the-art methods, the proposed predictor can achieve ORI identification with significant improvement. It is therefore reasonable to anticipate that the proposed method will make a useful high throughput tool for genome analysis.

Unreplicated DNA remaining from unperturbed S phases passes through mitosis for resolution in daughter cells

To prevent rereplication of genomic segments, the eukaryotic cell cycle is divided into two nonoverlapping phases. During late mitosis and G1 replication origins are "licensed" by loading MCM2-7 double hexamers and during S phase licensed replication origins activate to initiate bidirectional replication forks. Replication forks can stall irreversibly, and if two converging forks stall with no intervening licensed origin-a "double fork stall" (DFS)-replication cannot be completed by conventional means. We previously showed how the distribution of replication origins in yeasts promotes complete genome replication even in the presence of irreversible fork stalling. This analysis predicts that DFSs are rare in yeasts but highly likely in large mammalian genomes. Here we show that complementary strand synthesis in early mitosis, ultrafine anaphase bridges, and G1-specific p53-binding protein 1 (53BP1) nuclear bodies provide a mechanism for resolving unreplicated DNA at DFSs in human cells. When origin number was experimentally altered, the number of these structures closely agreed with theoretical predictions of DFSs. The 53BP1 is preferentially bound to larger replicons, where the probability of DFSs is higher. Loss of 53BP1 caused hypersensitivity to licensing inhibition when replication origins were removed. These results provide a striking convergence of experimental and theoretical evidence that unreplicated DNA can pass through mitosis for resolution in the following cell cycle.

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 etal 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.

Distance distribution functions of replication origins in HeLa and glioma human cells according to the data of confocal microscopy

The distribution of replication origins in the nuclei of different cells is studied by confocal microscopy. Based on the obtained images, three-dimensional maps of the positions of the origin centers is constructed and the distribution functions of the pair distances between them are calculated. It is established that the distance distribution function for HeLa and glioma human cells is linear at sizes up to 2 μm, which indicates that the size of the origin system is close to 2. The amplitude of the distance distribution function at small sizes has a power dependence on the nucleus size and is inversely proportional to the nucleus volume to the power of 0.9. Thus, the replication-origin distribution in a nucleus cannot be described by a model with a single Hausdorff dimension in the whole range of sizes.

Genome-wide replication profiles of S-phase checkpoint mutants reveal fragile sites in yeast

The S-phase checkpoint kinases Mec1 and Rad53 in the budding yeast, Saccharomyces cerevisiae, are activated in response to replication stress that induces replication fork arrest. In the absence of a functional S-phase checkpoint, stalled replication forks collapse and give rise to chromosome breakage. In an attempt to better understand replication dynamics in S-phase checkpoint mutants, we developed a replication origin array for budding yeast that contains 424 of 432 previously identified potential origin regions. As expected, mec1-1 and rad53-1 mutants failed to inhibit late origin activation. Surprisingly however, 17 early-firing regions were not replicated efficiently in these mutants. This was not due to a lack of initiation, but rather to problems during elongation, as replication forks arrested in close proximity to these origins, resulting in the accumulation of small replication intermediates and eventual replication fork collapse. Importantly, these regions were not only prone to chromosome breakage in the presence of exogenous stress but also in its absence, similar to fragile sites in the human genome.

Mapping an initiation region of DNA replication at a single-copy chromosomal locus in Drosophila melanogaster cells by two-dimensional gel methods and PCR-mediated nascent-strand analysis: multiple replication origins in a broad zone.

We have mapped an initiation region of DNA replication at a single-copy chromosomal locus in exponentially proliferating Drosophila tissue culture cells, using two-dimensional (2D) gel replicon mapping methods and PCR-mediated analysis of nascent strands. The initiation region was first localized downstream of the DNA polymerase alpha gene by determining direction of replication forks with the neutral/alkaline 2D gel method. Distribution of replication origins in the initiation region was further analyzed by using two types of 2D gel methods (neutral/neutral and neutral/alkaline) and PCR-mediated nascent-strand analysis. Results obtained by three independent methods were essentially consistent with each other and indicated that multiple replication origins are distributed in a broad zone of approximately 10 kb. The nucleotide sequence of an approximately 20-kb region that encompasses the initiation region was determined and searched for sequence elements potentially related to function of replication origins.

Mapping an Initiation Region of DNA Replication at a Single-Copy Chromosomal Locus in Drosophila melanogaster Cells by Two-Dimensional Gel Methods and PCR-Mediated Nascent-Strand Analysis: Multiple Replication Origins in a Broad Zone

We have mapped an initiation region of DNA replication at a single-copy chromosomal locus in exponentially proliferating Drosophila tissue culture cells, using two-dimensional (2D) gel replicon mapping methods and PCR-mediated analysis of nascent strands. The initiation region was first localized downstream of the DNA polymerase alpha gene by determining direction of replication forks with the neutral/alkaline 2D gel method. Distribution of replication origins in the initiation region was further analyzed by using two types of 2D gel methods (neutral/neutral and neutral/alkaline) and PCR-mediated nascent-strand analysis. Results obtained by three independent methods were essentially consistent with each other and indicated that multiple replication origins are distributed in a broad zone of approximately 10 kb. The nucleotide sequence of an approximately 20-kb region that encompasses the initiation region was determined and searched for sequence elements potentially related to function of replication origins.