13 research outputs found

    Acyclic Identification of Aptamers for Human alpha-Thrombin Using Over-Represented Libraries and Deep Sequencing

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    BACKGROUND: Aptamers are oligonucleotides that bind proteins and other targets with high affinity and selectivity. Twenty years ago elements of natural selection were adapted to in vitro selection in order to distinguish aptamers among randomized sequence libraries. The primary bottleneck in traditional aptamer discovery is multiple cycles of in vitro evolution. METHODOLOGY/PRINCIPAL FINDINGS: We show that over-representation of sequences in aptamer libraries and deep sequencing enables acyclic identification of aptamers. We demonstrated this by isolating a known family of aptamers for human α-thrombin. Aptamers were found within a library containing an average of 56,000 copies of each possible randomized 15mer segment. The high affinity sequences were counted many times above the background in 2-6 million reads. Clustering analysis of sequences with more than 10 counts distinguished two sequence motifs with candidates at high abundance. Motif I contained the previously observed consensus 15mer, Thb1 (46,000 counts), and related variants with mostly G/T substitutions; secondary analysis showed that affinity for thrombin correlated with abundance (K(d) = 12 nM for Thb1). The signal-to-noise ratio for this experiment was roughly 10,000∶1 for Thb1. Motif II was unrelated to Thb1 with the leading candidate (29,000 counts) being a novel aptamer against hexose sugars in the storage and elution buffers for Concanavilin A (K(d) = 0.5 µM for α-methyl-mannoside); ConA was used to immobilize α-thrombin. CONCLUSIONS/SIGNIFICANCE: Over-representation together with deep sequencing can dramatically shorten the discovery process, distinguish aptamers having a wide range of affinity for the target, allow an exhaustive search of the sequence space within a simplified library, reduce the quantity of the target required, eliminate cycling artifacts, and should allow multiplexing of sequencing experiments and targets

    Binding of aminoglycoside antibiotics to helix 69 of 23S rRNA

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    Aminoglycosides antibiotics negate dissociation and recycling of the bacterial ribosome’s subunits by binding to Helix 69 (H69) of 23S rRNA. The differential binding of various aminoglycosides to the chemically synthesized terminal domains of the Escherichia coli and human H69 has been characterized using spectroscopy, calorimetry and NMR. The unmodified E. coli H69 hairpin exhibited a significantly higher affinity for neomycin B and tobramycin than for paromomycin (Kds = 0.3 ± 0.1, 0.2 ± 0.2 and 5.4 ± 1.1 µM, respectively). The binding of streptomycin was too weak to assess. In contrast to the E. coli H69, the human 28S rRNA H69 had a considerable decrease in affinity for the antibiotics, an important validation of the bacterial target. The three conserved pseudouridine modifications (Ψ1911, Ψ1915, Ψ1917) occurring in the loop of the E. coli H69 affected the dissociation constant, but not the stoichiometry for the binding of paromomycin (Kd = 2.6 ± 0.1 µM). G1906 and G1921, observed by NMR spectrometry, figured predominantly in the aminoglycoside binding to H69. The higher affinity of the E. coli H69 for neomycin B and tobramycin, as compared to paromomycin and streptomycin, indicates differences in the efficacy of the aminoglycosides

    Impact of national guidelines on use of BRCA1/2 germline testing, risk management advice given to women with pathogenic BRCA1/2 variants and uptake of advice

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    Background: This nationwide study assessed the impact of nationally agreed cancer genetics guidelines on use of BRCA1/2 germline testing, risk management advice given by health professionals to women with pathogenic BRCA1/2 variants and uptake of such advice by patients. Methods: Clinic files of 883 women who had initial proband screens for BRCA1/2 pathogenic variants at 12 familial cancer clinics between July 2008–July 2009 (i.e. before guideline release), July 2010–July 2011 and July 2012–July 2013 (both after guideline release) were audited to determine reason given for genetic testing. Separately, the clinic files of 599 female carriers without a personal history of breast/ovarian cancer who underwent BRCA1/2 predictive genetic testing and received their results pre- and post-guideline were audited to ascertain the risk management advice given by health professionals. Carriers included in this audit were invited to participate in a telephone interview to assess uptake of advice, and 329 agreed to participate. Results: There were no significant changes in the percentages of tested patients meeting at least one published indication for genetic testing - 79, 77 and 78% of files met criteria before guideline, and two-, and four-years postguideline, respectively (χ = 0.25, p = 0.88). Rates of documentation of post-test risk management advice as per guidelines increased significantly from pre- to post-guideline for 6/9 risk management strategies. The strategies with the highest compliance amongst carriers or awareness post-release of guidelines were annual magnetic resonance imaging plus mammography in women 30–50 years (97%) and annual mammography in women > 50 years (92%). Of women aged over 40 years, 41% had a risk-reducing bilateral mastectomy. Amongst women aged > 40 years, 75% had a risk-reducing salpingo-oophorectomy. Amongst women who had not had a risk-reducing bilateral mastectomy, only 6% took risk-reducing medication. Fear of side-effects was cited as the main reasons for not taking these medicines by 73% of women. Conclusions: Guidelines did not change the percentages of tested patients meeting genetic testing criteria but improved documentation of risk management advice by health professionals. Effective approaches to enhance compliance with guidelines are needed to improve risk management and quality of care.Bettina Meiser … Miriam Fine … Janet Hiller … and for the ICCon Audit Study Collaborative Group (R. Susman … N. Poplawski … et al.

    Evaluation of implementation of risk management guidelines for carriers of pathogenic variants in mismatch repair genes: a nationwide audit of familial cancer clinics

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    Published: 09 May 2020Introduction: This nationwide study assessed the impact of Lynch syndrome-related risk management guidelines on clinicians’ recommendations of risk management strategies to carriers of pathogenic variants in mismatch repair genes and the extent to which carriers took up strategies in concordance with guidelines. Materials and methods: Clinic files of 464 carriers (with and without colorectal cancer) were audited for carriers who received their genetic testing results in July 2008–July 2009 (i.e. before guideline release), July 2010–July 2011 and July 2012–July 2013 (both after guideline release) at 12 familial cancer clinics (FCCs) to ascertain the extent to which carriers were informed about risk management in accordance with guidelines. All carriers captured by the audit were invited to participate in interviews; 215 were interviewed to assess adherence to recommended risk management guidelines. Results: The rates of documentation in clinic files increased significantly from pre- to post-guideline for only two out of eight risk management strategies. The strategies with the highest compliance of carriers post-guidelines were: uptake of one or two-yearly colonoscopy (87%), followed by hysterectomy to prevent endometrial cancer (68%), aspirin as risk-reducing medication (67%) and risk-reducing salpingo-oophorectomy (63%). Interrater reliability check for all guidelines showed excellent agreement (k statistics = 0.89). Conclusion: These results indicate that there is scope to further increase provision of advice at FCCs to ensure that all carriers receive recommendations about evidence-based risk management. A multi-pronged behaviour change and implementation science approach tailored to specific barriers is likely to be needed to achieve optimal clinician behaviours and outcomes for carriers.B. Meiser, R. Kaur, J. Kirk, A. Morrow ... Janet Hiller ... Nicola Poplawski ... et al

    Evaluation of implementation of risk management guidelines for carriers of pathogenic variants in mismatch repair genes: a nationwide audit of familial cancer clinics

    No full text
    Introduction: This nationwide study assessed the impact of Lynch syndrome-related risk management guidelines on clinicians’ recommendations of risk management strategies to carriers of pathogenic variants in mismatch repair genes and the extent to which carriers took up strategies in concordance with guidelines. Materials and methods: Clinic files of 464 carriers (with and without colorectal cancer) were audited for carriers who received their genetic testing results in July 2008–July 2009 (i.e. before guideline release), July 2010–July 2011 and July 2012–July 2013 (both after guideline release) at 12 familial cancer clinics (FCCs) to ascertain the extent to which carriers were informed about risk management in accordance with guidelines. All carriers captured by the audit were invited to participate in interviews; 215 were interviewed to assess adherence to recommended risk management guidelines. Results: The rates of documentation in clinic files increased significantly from pre- to post-guideline for only two out of eight risk management strategies. The strategies with the highest compliance of carriers post-guidelines were: uptake of one or two-yearly colonoscopy (87%), followed by hysterectomy to prevent endometrial cancer (68%), aspirin as risk-reducing medication (67%) and risk-reducing salpingo-oophorectomy (63%). Interrater reliability check for all guidelines showed excellent agreement (k statistics = 0.89). Conclusion: These results indicate that there is scope to further increase provision of advice at FCCs to ensure that all carriers receive recommendations about evidence-based risk management. A multi-pronged behaviour change and implementation science approach tailored to specific barriers is likely to be needed to achieve optimal clinician behaviours and outcomes for carriers

    Making modelling count - increasing the contribution of shelf-seas community and ecosystem models to policy development and management

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    Marine legislation is becoming more complex and marine ecosystem-based management is specified in national and regional legislative frameworks. Shelf-seas community and ecosystem models (hereafter termed ecosystem models) are central to the delivery of ecosystem-based management, but there is limited uptake and use of model products by decision makers in Europe and the UK in comparison with other countries. In this study, the challenges to the uptake and use of ecosystem models in support of marine environmental management are assessed using the UK capability as an example. The UK has a broad capability in marine ecosystem modelling, with at least 14 different models that support management, but few examples exist of ecosystem modelling that underpin policy or management decisions. To improve understanding of policy and management issues that can be addressed using ecosystem models, a workshop was convened that brought together advisors, assessors, biologists, social scientists, economists, modellers, statisticians, policy makers, and funders. Some policy requirements were identified that can be addressed without further model development including: attribution of environmental change to underlying drivers, integration of models and observations to develop more efficient monitoring programmes, assessment of indicator performance for different management goals, and the costs and benefit of legislation. Multi-model ensembles are being developed in cases where many models exist, but model structures are very diverse making a standardised approach of combining outputs a significant challenge, and there is a need for new methodologies for describing, analysing, and visualising uncertainties. A stronger link to social and economic systems is needed to increase the range of policy-related questions that can be addressed. It is also important to improve communication between policy and modelling communities so that there is a shared understanding of the strengths and limitations of ecosystem models
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