We recently used in situ Hi-C to create kilobase-resolution 3D maps of mammalian genomes. Here, we combine these maps with new Hi-C, microscopy, and genome-editing experiments to study the physical structure of chromatin fibers, domains, and loops. First, by examining the probability for short chromatin fragments to bend and form a cycle, we show that nuclear human chromatin is flexible at the kilobase scale, inconsistent with the widespread existence of 30-nm fibers in vivo. Next, we find that contact domains are inconsistent with the equilibrium state for an ordinary condensed polymer. Combining Hi-C data and novel mathematical theorems, we show that contact domains are also not consistent with a fractal globule. Instead, we use physical simulations to study two models of genome folding. In one, intermonomer attraction during polymer condensation leads to formation of an anisotropic “tension globule.” In the other, CCCTC-binding factor (CTCF) and cohesin act together to extrude unknotted loops during inter-phase. Both models are consistent with the observed contact domains and with the observation that contact domains tend to form inside loops. However, the extrusion model explains a far wider array of observations, such as why loops tend not to overlap, why the CTCF-binding motifs at pairs of loop anchors lie in the convergent orientation, and why edges of enhanced contacts occur at some domains. Furthermore, loop extrusion leads naturally to the formation of chromosome territories. Finally, we perform 13 genome-editing experiments examining the effect of altering CTCF-binding sites on chromatin folding. The convergent rule correctly predicts the affected loops in every case. Moreover, the extrusion model accurately predicts in silico the 3D maps resulting from each experiment using only the location of CTCF-binding sites in the wild-type. Thus, we show that it is possible to disrupt, restore, and move loops and domains using targeted mutations as small as a single base pair. Support or Funding Information This project is supported by NSF Grant PHY-1308264, NSF Grant PHY-1427654, NIH New Innovator Award 1DP2OD008540-01, Cancer Prevention Research Institute of Texas Scholar Award R1304, a McNair Medical Institute Scholar Award, and the President's Early Career Award in Science and Engineering, and funding from the Welch Foundation, International Business Machines, and Nvidia. (A)Summary of loop extrusion binding (i, ii), extruding (iii), and halting at motifs (iv). (B) 3D rendering of an extrusion globule. (C) Contact probability vs. distance within domains created in silico using loop extrusion. (D) Molecular simulations of loop extrusion based only on CTCF ChIP-Seq signals accurately recapitulate features observed in our Hi-C maps. (A) Results of CRISPR/Cas9-based editing experiments on chr 8. Simulations shown on left, experimental data shown on right. (B) Similar results on chr 1. (C) We disrupted two loops by inserting a single basepair. (D) Our data suggest that the region shown in (A) is typically found in one of two states. (E) Extrusion can explain the formation of exclusion domains.
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We recently used in situ Hi-C to create kilobase-resolution 3D maps of mammalian genomes. Here, we combine these maps with new Hi-C, microscopy, and genome-editing experiments to study the physical structure of chromatin fibers, domains, and loops. We find that the observed contact domains are inconsistent with the equilibrium state for an ordinary condensed polymer. Combining Hi-C data and novel mathematical theorems, we show that contact domains are also not consistent with a fractal globule. Instead, we use physical simulations to study two models of genome folding. In one, intermonomer attraction during polymer condensation leads to formation of an anisotropic "tension globule." In the other, CCCTC-binding factor (CTCF) and cohesin act together to extrude unknotted loops during interphase. Both models are consistent with the observed contact domains and with the observation that contact domains tend to form inside loops. However, the extrusion model explains a far wider array of observations, such as why loops tend not to overlap and why the CTCF-binding motifs at pairs of loop anchors lie in the convergent orientation. Finally, we perform 13 genome-editing experiments examining the effect of altering CTCF-binding sites on chromatin folding. The convergent rule correctly predicts the affected loops in every case. Moreover, the extrusion model accurately predicts in silico the 3D maps resulting from each experiment using only the location of CTCF-binding sites in the WT. Thus, we show that it is possible to disrupt, restore, and move loops and domains using targeted mutations as small as a single base pair.
Background: Traditional hospital outbreak-detection methods are typically limited to select multidrug-resistant pathogens in a single unit, which can miss transmission of many medically important healthcare-transmissible pathogens. Whole-genome sequencing (WGS) enables comprehensive genomic resolution for accurate identification of clonal transmission. Previously, lack of scalability limited the use of WGS for hospital surveillance. Methods: We conducted prospective surveillance of select bacteria from all inpatient clinical cultures plus all bacteria from clinical cultures from ICUs and oncology units at the University of California Irvine (UCI) Clinical Microbiology Laboratory from September 2021 to February 2022. Due to pandemic stressors, this pilot test was a prelude to a real-time demonstration project. Its goal was to demonstrate the efficiency and scalability of the WGS platform when receiving samples monthly and analyzing results quarterly without the intent for real-time response. Bacterial isolates slated for discard were collected weekly and sent monthly to Day Zero Diagnostics for sequencing. In total, 1,036 samples from 926 patients were analyzed for genomic relatedness, a scalable and automated analysis pipeline already in use for rapid (days) characterization of genomic-relatedness in small and large sets of isolates. Mapping and SNP calling was performed against high-quality, best-match reference genomes. Sets of samples with pairwise distance of 2 persons with genomically related isolates and were denoted as “clusters.” Separately, we also investigated within-patient diversity by quantifying the genomic relatedness of isolates collected from individual patients. Results: Isolates represented 28 distinct species. We identified 10 Escherichia coli clusters (range, 2–4 patients; median, 2 patients), 2 Klebsiella pneumoniae clusters (range, 2–4 patients), and 1 Enterococcus faecium cluster (3 patients). All but 1 involved genomically matched isolates from multiple hospital locations. There were 4 Escherichia coli ST131 clusters spanning 4 months, including 1 with 4 patients across 3 different hospital locations. At a species level, there were distinct differences between the observed SNP distances between samples isolated from the same versus different patients (Fig. 1). All identified clusters had not been flagged by routine outbreak detection methods used by the UCI infection prevention program. Conclusions: Comprehensive WGS-based surveillance of hospital clinical isolates identified multiple potential transmission events between patients not in the same unit at the time cultures were taken. Combining WGS detection and real-time epidemiologic investigation may identify new avenues of transmission risk and could provide early warnings of clonal transmission to prevent larger outbreaks. High-volume surveillance of hospital isolates can also provide species- and context-specific clonality. Financial support: This study was funded by Day Zero Diagnostics. Disclosures: None
Abstract Background Newly identified multi-drug resistant organisms (MDRO) isolated from hospitalized patients with shared epidemiological characteristics can either represent transmission events or independent, unrelated acquisitions. Whole genome sequencing (WGS) can improve the efficiency of investigations triggered by MDRO cases with apparent epidemiological linkages by early exclusion of clonality. We report an implementation of WGS to investigate a cluster of methicillin-resistant Staphylococcus aureus (MRSA) and a cluster of carbapenem-resistant Enterobacterales (CRE) inpatient nosocomial infections. Methods Study participants included five Neonatal ICU (NICU) patients with nosocomial MRSA isolates recovered between June and August 2020, and two Respiratory Acute Care Unit (RACU) patients with nosocomial CRE infections in October 2020. Routine unit surveillance activities and characterization using standard epidemiologic criteria identified the isolates as nosocomial to their respective unit. The isolates then underwent WGS and single nucleotide polymorphism (SNP)-based relatedness analysis. Results The MRSA cluster included five neonates with either clinical or surveillance isolates. WGS identified one of the five isolates as methicillin susceptible S. aureus due to the absence of the mecA or mecC resistance gene, despite growth on chromogenic MRSA screening agar. WGS revealed each of the five isolates as belonging to a distinct multi locus sequence type (MLST) group with thousands of SNP differences between samples. The CRE cluster included two patients with Klebsiella pneumoniae isolated from clinical cultures within five days of each other with identical antimicrobial susceptibility profiles. WGS of the two isolates revealed that they belonged to different MLSTs and had tens of thousands of differing SNPs. WGS results suggest that a nosocomial transmission linking these infections was highly unlikely. For both investigations, WGS returned results within thirty-six hours of sample receipt. Figure 1. Corynebacterium striatum Respiratory Cultures January 2020-February 2021 Panel showing single nucleotide polymorphism (SNP) differences between isolates for respective clusters. Conclusion Apparent transmission events can be resource intensive to investigate and manage. The application of rapid WGS allowed for early discontinuation of cluster investigations and conservation of resources. Disclosures Virginia M. Pierce, MD, UpToDate, Inc. (Other Financial or Material Support, Author) Mohamad Sater, PhD, Day Zero Diagnostics (Employee, Shareholder) Miriam Huntley, PhD, Day Zero Diagnostics (Employee, Shareholder) Ian Herriott, BS, Day Zero Diagnostics (Employee, Shareholder) Tim Farrell, MS, Day Zero Diagnostics, Inc. (Employee, Shareholder) David C. Rosenberg, MD, Cepheid Diagnostics (Consultant)Day Zero Diagnostics (Consultant)SeLux Diagnostics (Consultant) Erica S. Shenoy, MD, PhD, Vertex Pharmaceuticals (Individual(s) Involved: Self): I gave a single lecture in 3/2020 for which I received financial compensation, Other Financial or Material Support
Hi-C experiments explore the 3D structure of the genome, generating terabases of data to create high-resolution contact maps. Here, we introduce Juicer, an open-source tool for analyzing terabase-scale Hi-C datasets. Juicer allows users without a computational background to transform raw sequence data into normalized contact maps with one click. Juicer produces a hic file containing compressed contact matrices at many resolutions, facilitating visualization and analysis at multiple scales. Structural features, such as loops and domains, are automatically annotated. Juicer is available as open source software at http://aidenlab.org/juicer/.
Abstract Background Blood stream infections (BSI) are among the leading cause of morbidity and mortality, yet gold standard culture-based diagnostics have limited ability to guide therapeutic intervention due to multi-day turnaround time and low sensitivity. Day Zero Diagnostics has developed Blood2Bac™, a culture-free, species agnostic process to enrich bacteria direct from whole blood. Coupled with whole genome sequencing (WGS) and Day Zero Diagnostics’ Keynome® algorithmic tools for species ID and antimicrobial resistance (AMR), we conducted the first proof-of-concept feasibility study in an inpatient clinical setting. Methods Study participants were enrolled and specimens collected from Boston Medical Center. Eligibility criteria included hospitalized adults with suspected and/or documented BSI, irrespective of empiric antibiotic therapy duration. Whole blood samples were processed with Blood2Bac, sequenced on a nanopore platform, and bacterial ID determined with Keynome ID. Keynome ID results were compared with blood culture results to measure concordance. Results Specimens from 21 participants were processed with Blood2Bac and nanopore sequencing. For 20/21 samples, Keynome ID calls were concordant with clinical blood culture, where 6 concordant positive and 14 were concordant negative. In 3 concordant samples, Keynome ID called positive while concurrent blood cultures were negative. However, all IDs corresponded with positive blood culture results from the day prior, suggesting potentially higher sensitivity for the Blood2Bac compared to blood culture. Two concordant positive IDs, resulted in >95% of the genome recovered and Keynome concomitantly resulted in AMR predictions with 100% accuracy compared to pathogen phenotype. In 1 discordant specimen, the Keynome ID result was negative while blood cultures 8 hours before were positive. In this case, the patient was on empiric therapy for 8 days prior to samples collection and cultures were negative 19-hours post specimen collection. Conclusion These results highlight the sensitivity of a real-time blood WGS approach to identify BSI and its utility as a diagnostic to minimize unnecessary antibiotic exposure contributing to the antibiotic resistance crisis. Disclosures Archana Asundi, MD, Gilead (Scientific Research Study Investigator)Merck (Scientific Research Study Investigator)ViiV (Scientific Research Study Investigator) Nicole Billings, PhD, Day Zero Diagnostics (Employee) Zoe H. Rogers, MPH, Day Zero Diagnostics (Employee, Shareholder) Lisa S. Cunden, PhD, Day Zero Diagnostics (Shareholder) Imaly A. Nanayakkara, PhD, Day Zero Diagnostics (Employee, Shareholder) Chiahao Tsui, n/a, Day Zero Diagnostics (Employee, Shareholder) Paul Knysh, PhD, Day Zero Diagnostics (Employee) Cabell Maddux, n/a, Day Zero Diagnostics (Employee, Shareholder) Zachary Munro, n/a, Day Zero Diagnostics Inc. (Employee, Shareholder) Ian Herriott, BS, Day Zero Diagnostics (Employee, Shareholder) Miriam Huntley, PhD, Day Zero Diagnostics (Employee, Shareholder) Nina H. Lin, MD, Gilead Sciences (Scientific Research Study Investigator)ViiV (Scientific Research Study Investigator)
In a previous study, mutants with enhanced ciprofloxacin resistance (Cipr) were selected from Escherichia coli J53/pMG252 carrying qnrA1 Strain J53 Cipr 8-2 showed an increase in the copy number and transcription level of qnrA1 We sequenced the plasmids on Illumina and MinION platforms. Parental plasmid pMG252 and plasmid pMG252A from strain J53 Cipr 8-2 were almost identical, except for the region containing qnrA1 that in pMG252A contained 4 additional copies of the qnrA1-qacEΔ1-sul1-ISCR1 region.
Abstract Background Detection of nosocomial outbreaks often relies on epidemiological definitions of community and nosocomial acquisition. We report a cluster of three carbapenem-resistant Acinetobacter baumannii (CRAB) infections linked to a single source patient with infections occurring within 2 days of admission to a burn intensive care unit (ICU). The epidemiological investigation was supplemented by whole-genome sequencing (WGS) of clinical and environmental isolates. Methods Study participants included burn ICU patients identified with infections caused by CRAB. A detailed review of patient demographic and clinical data was conducted. Clinical A. baumannii isolates were assessed by antimicrobial susceptibility testing and WGS. Review of infection control practices on the affected unit was followed by environmental sampling. A. baumannii isolates obtained through environmental sampling were assessed for carbapenem resistance and then underwent WGS for comparison to the clinical isolates. Results Three cases of CRAB infection in the affected unit spanning a period of 3 months were linked to a preceding source patient, with CRAB isolates from the four patients differing by 5–7 single nucleotide variations. All case patients had been admitted to the same room within 2 days before development of CRAB infection. Environmental sampling performed while the third case patient occupied the room identified highly contaminated areas, and environmental CRAB isolates linked the patient isolates. The contaminated areas were subsequently re-sampled after enhanced terminal cleaning of the room. No additional CRAB was isolated, but other pathogenic organisms were recovered. Conclusion We report a cluster of three infections caused by highly resistant A. baumannii that occurred in a burn intensive care unit over a period of 3 months, linked to a single source patient. Three case patients developed infections classified as community-acquired using standard epidemiological definitions, however, whole-genome sequencing revealed clonality. An extensive investigation identified the role of environmental reservoirs. Burn patients may be particularly vulnerable to early-onset nosocomial infection from environmental contamination. Disclosures All authors: No reported disclosures.
