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      Rapid detection of single bacteria in unprocessed blood using Integrated Comprehensive Droplet Digital Detection

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          Abstract

          Blood stream infection or sepsis is a major health problem worldwide, with extremely high mortality, which is partly due to the inability to rapidly detect and identify bacteria in the early stages of infection. Here we present a new technology termed ‘Integrated Comprehensive Droplet Digital Detection’ (IC 3D) that can selectively detect bacteria directly from milliliters of diluted blood at single-cell sensitivity in a one-step, culture- and amplification-free process within 1.5–4 h. The IC 3D integrates real-time, DNAzyme-based sensors, droplet microencapsulation and a high-throughput 3D particle counter system. Using Escherichia coli as a target, we demonstrate that the IC 3D can provide absolute quantification of both stock and clinical isolates of E. coli in spiked blood within a broad range of extremely low concentration from 1 to 10,000 bacteria per ml with exceptional robustness and limit of detection in the single digit regime.

          Abstract

          Early detection of blood stream infections is essential for providing effective treatments. Here the authors present a system integrating DNAzyme sensors, droplet microfluidics and a high-throughput 3D particle counter that can detect specific, single bacterial cells in blood within a few hours.

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          Most cited references31

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          Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase.

          L Gold, C Tuerk (1990)
          High-affinity nucleic acid ligands for a protein were isolated by a procedure that depends on alternate cycles of ligand selection from pools of variant sequences and amplification of the bound species. Multiple rounds exponentially enrich the population for the highest affinity species that can be clonally isolated and characterized. In particular one eight-base region of an RNA that interacts with the T4 DNA polymerase was chosen and randomized. Two different sequences were selected by this procedure from the calculated pool of 65,536 species. One is the wild-type sequence found in the bacteriophage mRNA; one is varied from wild type at four positions. The binding constants of these two RNA's to T4 DNA polymerase are equivalent. These protocols with minimal modification can yield high-affinity ligands for any protein that binds nucleic acids as part of its function; high-affinity ligands could conceivably be developed for any target molecule.
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            Droplet microfluidics.

            Droplet-based microfluidic systems have been shown to be compatible with many chemical and biological reagents and capable of performing a variety of "digital fluidic" operations that can be rendered programmable and reconfigurable. This platform has dimensional scaling benefits that have enabled controlled and rapid mixing of fluids in the droplet reactors, resulting in decreased reaction times. This, coupled with the precise generation and repeatability of droplet operations, has made the droplet-based microfluidic system a potent high throughput platform for biomedical research and applications. In addition to being used as microreactors ranging from the nano- to femtoliter range; droplet-based systems have also been used to directly synthesize particles and encapsulate many biological entities for biomedicine and biotechnology applications. This review will focus on the various droplet operations, as well as the numerous applications of the system. Due to advantages unique to droplet-based systems, this technology has the potential to provide novel solutions to today's biomedical engineering challenges for advanced diagnostics and therapeutics.
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              A DNA enzyme that cleaves RNA.

              Several types of RNA enzymes (ribozymes) have been identified in biological systems and generated in the laboratory. Considering the variety of known RNA enzymes and the similarity of DNA and RNA, it is reasonable to imagine that DNA might be able to function as an enzyme as well. No such DNA enzyme has been found in nature, however. We set out to identify a metal-dependent DNA enzyme using in vitro selection methodology. Beginning with a population of 10(14) DNAs containing 50 random nucleotides, we carried out five successive rounds of selective amplification, enriching for individuals that best promote the Pb(2+)-dependent cleavage of a target ribonucleoside 3'-O-P bond embedded within an otherwise all-DNA sequence. By the fifth round, the population as a whole carried out this reaction at a rate of 0.2 min-1. Based on the sequence of 20 individuals isolated from this population, we designed a simplified version of the catalytic domain that operates in an intermolecular context with a turnover rate of 1 min-1. This rate is about 10(5)-fold increased compared to the uncatalyzed reaction. Using in vitro selection techniques, we obtained a DNA enzyme that catalyzes the Pb(2+)-dependent cleavage of an RNA phosphoester in a reaction that proceeds with rapid turnover. The catalytic rate compares favorably to that of known RNA enzymes. We expect that other examples of DNA enzymes will soon be forthcoming.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                13 November 2014
                : 5
                : 5427
                Affiliations
                [1 ]Department of Pharmaceutical Sciences, University of California–Irvine , 845 Health Sciences Road, Irvine, California 92697, USA
                [2 ]Sue and Bill Gross Stem Cell Research Center, University of California–Irvine , 845 Health Sciences Road, Irvine, California 92697, USA
                [3 ]Chao Family Comprehensive Cancer Center, University of California–Irvine , 845 Health Sciences Road, Irvine, California 92697, USA
                [4 ]Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California–Irvine , 845 Health Sciences Road, Irvine, California 92697, USA
                [5 ]Department of Biomedical Engineering, University of California–Irvine , 845 Health Sciences Road, Irvine, California 92697, USA
                [6 ]Department of Chemistry, Beijing Key Laboratory for Analytical Methods and Instrumentation, Tsinghua University , Beijing 100084, China
                [7 ]Division of Infectious Diseases and Health Policy Research Institute, School of Medicine, University of California–Irvine , Irvine, California 92697, USA
                [8 ]Department of Pathology and Laboratory Medicine, University of California , Irvine, California 92697, USA
                [9 ]Laboratory for Fluorescence Dynamics, University of California , Irvine, California 92697, USA
                [10 ]Centre for Bioactive Discovery in Health and Ageing, School of Science and Technology, University of New England , Armidale, New South Wales 2351, Australia
                Author notes
                [*]

                These authors contributed equally to this work

                Article
                ncomms6427
                10.1038/ncomms6427
                4243214
                25391809
                4d530230-da30-40c3-9ffd-331db2765f75
                Copyright © 2014, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 23 June 2014
                : 30 September 2014
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