213 research outputs found

    Measurement of the Shape Factor for the Beta Decay of 14^{14}O

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    We report results from an experiment designed to test the conserved vector current (CVC) hypothesis by measuring the shape of the Ī²\beta-decay spectrum for the allowed 0+ā†’1+0^+\rightarrow 1^+ ground state decay of 14^{14}O. Measurements of the spectrum intensity were obtained with a superconducting beta spectrometer and will be reported for positron kinetic energies ranging from 1.9 to 4.0 MeV. After dividing out phase space, Coulomb, and other correction factors, the resulting shape function has a negative slope of several per cent per MeV. We define a parameter aā€²a', which is essentially a measure of the average slope of the shape function over the energy range of the measurements, and determine its value to be aā€²=āˆ’0.0290Ā±0.0008a' = -0.0290 \pm 0.0008 (stat.) Ā±0.0006\pm 0.0006 (syst.). The measured slope parameter is in good agreement with predictions from shell model calculations that respect CVC

    Zinc Finger Database (ZiFDB): a repository for information on C2H2 zinc fingers and engineered zinc-finger arrays

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    Zinc fingers are the most abundant DNA-binding motifs encoded by eukaryotic genomes and one of the best understood DNA-recognition domains. Each zinc finger typically binds a 3-nt target sequence, and it is possible to engineer zinc-finger arrays (ZFAs) that recognize extended DNA sequences by linking together individual zinc fingers. Engineered zinc-finger proteins have proven to be valuable tools for gene regulation and genome modification because they target specific sites in a genome. Here we describe ZiFDB (Zinc Finger Database; http://bindr.gdcb.iastate.edu/ZiFDB), a web-accessible resource that compiles information on individual zinc fingers and engineered ZFAs. To enhance its utility, ZiFDB is linked to the output from ZiFiTā€”a software package that assists biologists in finding sites within target genes for engineering zinc-finger proteins. For many molecular biologists, ZiFDB will be particularly valuable for determining if a given ZFA (or portion thereof) has previously been constructed and whether or not it has the requisite DNA-binding activity for their experiments. ZiFDB will also be a valuable resource for those scientists interested in better understanding how zinc-finger proteins recognize target DNA

    Direct measurement of the L/K ratio in the electron capture decay of 7Be7Be with cryogenic micro-calorimeters

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    Using a cryogenic micro-calorimeter originally developed for x-ray astrophysics, we have the performed the first direct investigation of the L/K capture ratio in 7Be7Be electron capture decay. The low background and excellent energy resolution clearly resolve capture from the individual shells, resulting in a direct determination of the L/K ratio. Ā© 2002 American Institute of Physics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87662/2/473_1.pd

    New horizons for plant translational research

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    In this issue, we launch a new article collection "The Promise of Plant Translational Research," featuring articles from leading plant researchers and call for additional plant translational research to be submitted to PLOS Biology for inclusion in this collection. We also discuss in this Editorial why this field has a vital role to play in meeting the challenges of sustainably feeding a growing world population

    ZiFiT (Zinc Finger Targeter): an updated zinc finger engineering tool

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    ZiFiT (Zinc Finger Targeter) is a simple and intuitive web-based tool that provides an interface to identify potential binding sites for engineered zinc finger proteins (ZFPs) in user-supplied DNA sequences. In this updated version, ZiFiT identifies potential sites for ZFPs made by both the modular assembly and OPEN engineering methods. In addition, ZiFiT now integrates additional tools and resources including scoring schemes for modular assembly, an interface with the Zinc Finger Database (ZiFDB) of engineered ZFPs, and direct querying of NCBI BLAST servers for identifying potential off-target sites within a host genome. Taken together, these features facilitate design of ZFPs using reagents made available to the academic research community by the Zinc Finger Consortium. ZiFiT is freely available on the web without registration at http://bindr.gdcb.iastate.edu/ZiFiT/

    Efficient TALEN-mediated gene knockout in livestock

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    Transcription activator-like effector nucleases (TALENs) are programmable nucleases that join FokI endonuclease with the modular DNA-binding domain of TALEs. Although zinc-finger nucleases enable a variety of genome modifications, their application to genetic engineering of livestock has been slowed by technical limitations of embryo-injection, culture of primary cells, and difficulty in producing reliable reagents with a limited budget. In contrast, we found that TALENs could easily be manufactured and that over half (23/36, 64%) demonstrate high activity in primary cells. Cytoplasmic injections of TALEN mRNAs into livestock zygotes were capable of inducing gene KO in up to 75% of embryos analyzed, a portion of which harbored biallelic modification. We also developed a simple transposon coselection strategy for TALEN-mediated gene modification in primary fibroblasts that enabled both enrichment for modified cells and efficient isolation of modified colonies. Coselection after treatment with a single TALEN-pair enabled isolation of colonies with mono- and biallelic modification in up to 54% and 17% of colonies, respectively. Coselection after treatment with two TALEN-pairs directed against the same chromosome enabled the isolation of colonies harboring large chromosomal deletions and inversions (10% and 4% of colonies, respectively). TALEN-modified Ossabaw swine fetal fibroblasts were effective nuclear donors for cloning, resulting in the creation of miniature swine containing mono- and biallelic mutations of the LDL receptor gene as models of familial hypercholesterolemia. TALENs thus appear to represent a highly facile platform for the modification of livestock genomes for both biomedical and agricultural applications

    TALEN-mediated editing of the mouse Y chromosome

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    The functional study of Y chromosome genes has been hindered by a lack of mouse models with specific Y chromosome mutations. We used transcription activator-like effector nuclease (TALEN)-mediated gene editing in mouse embryonic stem cells (mESCs) to produce mice with targeted gene disruptions and insertions in two Y-linked genesā€”Sry and Uty. TALEN-mediated gene editing is a useful tool for dissecting the biology of the Y chromosome.National Institutes of Health (U.S.) (US NIH grant R01-HG000257)National Institutes of Health (U.S.) (US NIH grant R01-CA084198)National Institutes of Health (U.S.) (US NIH grant R37-HD045022)Croucher Foundation (Scholarship)Howard Hughes Medical Institute (Investigator

    An affinity-based scoring scheme for predicting DNA-binding activities of modularly assembled zinc-finger proteins

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    Zinc-finger proteins (ZFPs) have long been recognized for their potential to manipulate genetic information because they can be engineered to bind novel DNA targets. Individual zinc-finger domains (ZFDs) bind specific DNA triplet sequences; their apparent modularity has led some groups to propose methods that allow virtually any desired DNA motif to be targeted in vitro. In practice, however, ZFPs engineered using this ā€˜modular assemblyā€™ approach do not always function well in vivo. Here we report a modular assembly scoring strategy that both identifies combinations of modules least likely to function efficiently in vivo and provides accurate estimates of their relative binding affinities in vitro. Predicted binding affinities for 53 ā€˜three-fingerā€™ ZFPs, computed based on energy contributions of the constituent modules, were highly correlated (r = 0.80) with activity levels measured in bacterial two-hybrid assays. Moreover, Kd values for seven modularly assembled ZFPs and their intended targets, measured using fluorescence anisotropy, were also highly correlated with predictions (r = 0.91). We propose that success rates for ZFP modular assembly can be significantly improved by exploiting the score-based strategy described here
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