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The mammalian DNA replication timing (RT) program is crucial for the proper functioning and integrity of the genome. The best-known mechanism for controlling RT is the suppression of late origins of replication in heterochromatin by RIF1. Here, we report that in antigen-activated, hypermutating murine B lymphocytes, RIF1 binds predominantly to early-replicating active chromatin and promotes early replication, but plays a minor role in regulating replication origin activity, gene expression and genome organization in B cells. Furthermore, we find that RIF1 functions in a complementary and non-epistatic manner with minichromosome maintenance (MCM) proteins to establish early RT signatures genome-wide and, specifically, to ensure the early replication of highly transcribed genes. These findings reveal additional layers of regulation within the B cell RT program, driven by the coordinated activity of RIF1 and MCM proteins. Here the authors show that in activated B cells, RIF1 primarily binds early-replicating active chromatin and promotes early replication. RIF1 and MCM proteins establish early replication timing signatures genome-wide and ensure early replication of highly transcribed genes.

The six subunit Origin Recognition Complex (ORC) loads excess MCM2-7 on chromosomes to promote initiation of DNA replication and is believed to be important for origin specification. Mapping of origins in cancer cell lines engineered to delete three of the subunits, , or shows that specific origins are still used and are mostly at the same sites in the genome as in wild type cells. The few thousand origins that were up-regulated in the absence of ORC suggest that GC/TA skewness and simple repeat sequences facilitate, but are not essential for, origin selection in the absence of the six-subunit ORC. Despite the lack of ORC, excess MCM2-7 is still loaded at comparable rates in G1 phase to license dormant origins and is also repeatedly loaded in the same S phase to permit re-replication. Thus, origin specification and excess MCM2-7 loading on origins do not require the six-subunit ORC in human cancer cell lines.

Single-cell RNA-seq characterizes biological samples at unprecedented scale and detail, but data interpretation remains challenging. Here we introduce CellWhisperer, a multimodal machine learning model and software that connects transcriptomes and text for interactive single-cell RNA-seq data analysis. CellWhisperer enables the chat-based interrogation of transcriptome data in English language. To train our model, we created an AI-curated dataset with over a million pairs of RNA-seq profiles and matched textual annotations across a broad range of human biology, and we established a multimodal embedding of matched transcriptomes and text using contrastive learning. Our model enables free-text search and annotation of transcriptome datasets by cell types, states, and other properties in a zero-shot manner and without the need for reference datasets. Moreover, Cell-Whisperer answers questions about cells and genes in natural-language chats, using a biologically fluent large language model that we fine-tuned to analyze bulk and single-cell transcriptome data across various biological applications. We integrated CellWhisperer with the widely used CELLxGENE browser, allowing users to in-teractively explore RNA-seq data through an integrated graphical and chat interface. Our method demonstrates a new way of working with transcriptome data, leveraging the power of natural language for single-cell data analysis and establishing an important building block for future AI-based bioinformatics research assistants.

Chromosomal translocations result from the joining of DNA double-strand breaks (DSBs) and frequently cause cancer. Yet, the steps linking DSB formation to DSB ligation remain undeciphered. We report that DNA replication timing (RT), mediated by replication origin activity, directly regulates the genesis of lymphomagenic Myc translocations during antibody maturation in B cells. Reduced levels of the replicative helicase, the minichromosome-maintenance (MCM) complex, decreases translocations and globally abrogates the RT program. Ablating a single replication origin at Myc causes an early-to-late RT switch with major loss of translocations, a phenotype that is reversed by restoring early RT. Finally, this novel RT-regulated mechanism occurs after DSB formation and independently of DSB frequency. Thus, RT constitutes a distinct regulatory event in translocation biogenesis linking DSB formation to DSB ligation.

The mammalian DNA replication timing (RT) program is crucial for the proper functioning and integrity of the genome. The best-known mechanism for controlling RT is the suppression of late origins of replication in heterochromatin by RIF1. Here, we report that in antigen-activated B lymphocytes, RIF1 binds predominantly to early-replicating active chromatin, regulates early origin firing and promotes early replication. RIF1 has a minor role in gene expression and genome organization in B cells. Furthermore, we find that RIF1 functions in a complementary and non-epistatic manner with minichromosome maintenance (MCM) proteins to establish early RT signatures genome-wide and, specifically, to ensure the early replication of highly transcribed genes. These findings reveal new layers of regulation within the B cell RT program, driven by the coordinated activity of RIF1 and MCM proteins.

Introduction: In children and adolescents, the most common periodontal disease is the plaque-induced gingivitis. Aim: The aim of this study was to reveal the bacterial species associated with supragingival plaque of Bulgarian adolescents diagnosed with plaque-induced gingivitis. Materials and methods: Supragingival plaque samples from 70 healthy subjects with moderate plaque-induced gingivitis (37 females and 33 males), aged 12-18 years, were obtained and examined microbiologically. Results: A total of 224 microorganisms were isolated. Gram-negative bacteria were predominant compared to Gram-positive [132 (59%) vs. 92 (41%), p <0.001]. Aerobic microorganisms were detected more often than anaerobic (151; 67.5% vs. 73; 32.5%, p <0.001). The Streptococcus mutans group and Neisseria spp. were isolated from all adolescents. The frequency of isolation of C. albicans was relatively lower - 11 (15.7%). The anaerobes showed much greater microbial diversity (12 pathogen groups were isolated). Gram-negative rods were isolated from 57 of the adolescents (isolation frequency 81.4%). F. varium , P. melaninogenica , P. intermedia and P. assacharolyticus were detected respectively in 12 (16%), 9 (12%), 8 (11%) and 7 (10%) samples. The less frequently isolated anaerobes were Gram-positive cocci, Gram-negative cocci, Bacteroides uniformis and Bifidobacterium spp. together. Conclusion: The most frequently isolated microbiota in our study is part of the normal oral bacterial flora. The presence of anaerobes such as Prevotella , Fusobacterium , Bacteroides and Porphyromonas reflects the gradual change of the flora to more complex one. The results of quantitative and qualitative evaluation of the plaque of adolescents with moderate plaque-induced gingivitis may contribute to the selection of the prevention and treatment of this disease.