Genome bioinformatic analysis of nonsynonymous SNPs

Background: Genome-wide association studies of common diseases for common, low penetrance causal variants are underway. A proportion of these will alter protein sequences, the most common of which is the non-synonymous single nucleotide polymorphism (nsSNP). It would be an advantage if the functional effects of an nsSNP on protein structure and function could be predicted, both for the final identification process of a causal variant in a disease-associated chromosome region, and in further functional analyses of the nsSNP and its disease-associated protein. Results: In the present report we have compared and contrasted structure-and sequence-based methods of prediction to over 5500 genes carrying nearly 24,000 nsSNPs, by employing an automatic comparative modelling procedure to build models for the genes. The nsSNP information came from two sources, the OMIM database which are rare (minor allele frequency, MAF, 0.05, have no known link to a disease. For over 40% of the nsSNPs, structure-based methods predicted which of these sequence changes are likely to either disrupt the structure of the protein or interfere with the function or interactions of the protein. For the remaining 60%, we generated sequence-based predictions. Conclusion: We show that, in general, the prediction tools are able distinguish disease causing mutations from those mutations which are thought to have a neutral affect. We give examples of mutations in genes that are predicted to be deleterious and may have a role in disease. Contrary to previous reports, we also show that rare mutations are consistently predicted to be deleterious as often as commonly occurring nsSNPs.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Construct and face validity of SINERGIA laparoscopic virtual reality simulator

Purpose Laparoscopic techniques have nowadays become a gold standard in many surgical procedures, but they imply a more difficult learning skills process. Simulators have a fundamental role in the formative stage of new surgeons. This paper presents the construct and face validity of SINERGIA laparoscopic virtual reality simulator in order to decide whether it can be considered as an assessment tool. Methods Twenty people participated in this study, 14 were novices and 6 were experts. Five tasks of SINERGIA were included in the study: coordination, navigation, navigation and touch, precise grasping and coordinate traction. For each one of these tasks, a certain number of metrics are automatically recorded. All subjects accomplished each task only once and filled in two questionnaires. A statistical analysis was made and results from both groups were compared with the Mann–Whitney U-test, considering significant differences when P ≤ 0.05. Internal consistency of the system has been analyzed with the Cronbach’s alpha test. Results Novices and experts positively rated SINERGIA characteristics. At least one of the evaluated metrics of each exercise presented significant differences between both groups. Nevertheless, all metrics under study gave a better punctuation to the executions accomplished by experts (lower time, higher efficiency, fewer errors. . .) than to those made by novices. Conclusion SINERGIA laparoscopic virtual reality simulator is able to discriminate subjects according to their level of experience in laparoscopic surgery; therefore, it can be used within a training program as an assessment too

Stratification of radiosensitive brain metastases based on an actionable S100A9/RAGE resistance mechanism

Whole-brain radiotherapy (WBRT) is the treatment backbone for many patients with brain metastasis; however, its efficacy in preventing disease progression and the associated toxicity have questioned the clinical impact of this approach and emphasized the need for alternative treatments. Given the limited therapeutic options available for these patients and the poor understanding of the molecular mechanisms underlying the resistance of metastatic lesions to WBRT, we sought to uncover actionable targets and biomarkers that could help to refine patient selection. Through an unbiased analysis of experimental in vivo models of brain metastasis resistant to WBRT, we identified activation of the S100A9–RAGE–NF-κB–JunB pathway in brain metastases as a potential mediator of resistance in this organ. Targeting this pathway genetically or pharmacologically was sufficient to revert the WBRT resistance and increase therapeutic benefits in vivo at lower doses of radiation. In patients with primary melanoma, lung or breast adenocarcinoma developing brain metastasis, endogenous S100A9 levels in brain lesions correlated with clinical response to WBRT and underscored the potential of S100A9 levels in the blood as a noninvasive biomarker. Collectively, we provide a molecular framework to personalize WBRT and improve its efficacy through combination with a radiosensitizer that balances therapeutic benefit and toxicity.We thank all members of the Brain Metastasis Group and A. Chalmers, E. Wagner, O. Fernández-Capetillo, R. Ciérvide and A. Hidalgo for critical discussion of the manuscript; the CNIO Core Facilities for their excellent assistance; and Fox Chase Cancer Center Transgenic Facility for generation of S100A9 mice. We thank EuCOMM repository for providing S100A9 targeted embryonic stem cells. We also thank J. Massagué (MSKCC) for some of the BrM cell lines and M. Bosenberg (Yale) for the YUMM1.1 cell line. Samples from patients included in this study that provided by the Girona Biomedical Research Institute (IDIBGI) (Biobanc IDIBGI, B.0000872) are integrated into the Spanish National Biobanks Network and in the Xarxa de Bancs de Tumors de Catalunya (XBTC) financed by the Pla Director d’Oncologia de Catalunya. All patients consented to the storage of these samples in the biobank and for their use in research projects. This study was funded by MINECO (SAF2017-89643-R) (M.V.), Fundació La Marató de TV3 (201906-30-31-32) (J.B.-B., M.V. and A.C.), Fundación Ramón Areces (CIVP19S8163) (M.V.) and CIVP20S10662 (E.O.P.), Worldwide Cancer Research (19-0177) (M.V. and E.C.-J.M.), Cancer Research Institute (Clinic and Laboratory Integration Program CRI Award 2018 (54545) (M.V.), AECC (Coordinated Translational Groups 2017 (GCTRA16015SEOA) (M.V.), LAB AECC 2019 (LABAE19002VALI) (M.V.), ERC CoG (864759) (M.V.), Portuguese Foundation for Science and Technology (SFRH/bd/100089/2014) (C.M.), Boehringer-Ingelheim Fonds MD Fellowship (L.M.), La Caixa International PhD Program Fellowship-Marie Skłodowska-Curie (LCF/BQ/DI17/11620028) (P.G.-G.), La Caixa INPhINIT Fellowship (LCF/BQ/DI19/11730044) (A.P.-A.), MINECO-Severo Ochoa PhD Fellowship (BES-2017-081995) (L.A.-E.) and an AECC postdoctoral fellowship (POSTD19016PRIE) (N.P.). M.V. is an EMBO YIP member (4053). Additional support was provided by Gertrud and Erich Roggenbuck Stiftung (M.M.), Science Foundation Ireland Frontiers for the Future Award (19/FFP/6443) (L.Y.), Science Foundation Ireland Strategic Partnership Programme, Precision Oncology Ireland (18/SPP/3522) (L.Y.), Breast Cancer Now Fellowship Award with the generous support of Walk the Walk (2019AugSF1310) (D.V.), Science Foundation Ireland (20/FFP-P/8597) (D.V.), Paradifference Foundation (C.F.-T.), “la Caixa” Foundation (ID 100010434) (A.I.), European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement 847648 (CF/BQ/PI20/11760029) (A.I.), Champalimaud Centre for the Unknown (N.S.), Lisboa Regional Operational Programme (Lisboa 2020) (LISBOA01-0145-FEDER-022170) (N.S.), NCI (R01 CA227629; R01 CA218133) (S.I.G.), Fundació Roses Contra el Càncer (J.B.-B.), Ministerio de Universidades FPU Fellowship (FPU 18/00069) (P.T.), MICIN-Agencia Estatal de Investigación Fellowships (PRE2020-093032 and BES-2017-080415) (P.M. and E. Cintado, respectively), Ministerio de Ciencia, Innovación y Universidades-E050251 (PID2019-110292RB-I00) (J.L.T.), FCT (PTDC/MED-ONC/32222/2017) (C.C.F.), Fundação Millennium bcp (C.C.F.), private donations (C.C.F.) and the Foundation for Applied Cancer Research in Zurich (E.L.R. and M.W.)

Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

We show the distribution of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genetic clades over time and between countries and outline potential genomic surveillance objectives. We applied three genomic nomenclature systems to all sequence data from the World Health Organization European Region available until 10 July 2020. We highlight the importance of real-time sequencing and data dissemination in a pandemic situation, compare the nomenclatures and lay a foundation for future European genomic surveillance of SARS-CoV-2

Sample preparation techniques for GC

Sample preparation is still considered the most time-consuming and error-prone step within the analytical process in many research fields. This is particularly true in food and environmental analysis where the complexity of many of the investigated matrices and the low concentration levels at which the target compounds should be accurately determined made necessary the use of tedious and highly manipulative multistep sample preparation protocols. This chapter reviews current state of the art in the field of sample preparation for combined use with gas chromatographic-based techniques. The most relevant developments achieved in the last two decades in this active research area have been reviewed and discussed on the basis of representative application studies primarily taken from the environmental and food fields. As in other research areas, miniaturisation and increased integration of the several treatment steps typically required for the preparation of these matrices are revealed as the most relevant trends within this step of the analytical process.Author thanks MINECO (CTQ2010-32957) and CM and FEDER program (project S2009/AGR-1464, ANALISYC-II) for financial support.Peer reviewe