54 research outputs found

    Population genomics of post-glacial western Eurasia.

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    Western Eurasia witnessed several large-scale human migrations during the Holocene <sup>1-5</sup> . Here, to investigate the cross-continental effects of these migrations, we shotgun-sequenced 317 genomes-mainly from the Mesolithic and Neolithic periods-from across northern and western Eurasia. These were imputed alongside published data to obtain diploid genotypes from more than 1,600 ancient humans. Our analyses revealed a 'great divide' genomic boundary extending from the Black Sea to the Baltic. Mesolithic hunter-gatherers were highly genetically differentiated east and west of this zone, and the effect of the neolithization was equally disparate. Large-scale ancestry shifts occurred in the west as farming was introduced, including near-total replacement of hunter-gatherers in many areas, whereas no substantial ancestry shifts happened east of the zone during the same period. Similarly, relatedness decreased in the west from the Neolithic transition onwards, whereas, east of the Urals, relatedness remained high until around 4,000 BP, consistent with the persistence of localized groups of hunter-gatherers. The boundary dissolved when Yamnaya-related ancestry spread across western Eurasia around 5,000 BP, resulting in a second major turnover that reached most parts of Europe within a 1,000-year span. The genetic origin and fate of the Yamnaya have remained elusive, but we show that hunter-gatherers from the Middle Don region contributed ancestry to them. Yamnaya groups later admixed with individuals associated with the Globular Amphora culture before expanding into Europe. Similar turnovers occurred in western Siberia, where we report new genomic data from a 'Neolithic steppe' cline spanning the Siberian forest steppe to Lake Baikal. These prehistoric migrations had profound and lasting effects on the genetic diversity of Eurasian populations

    Publisher Correction: Population genomics of post-glacial western Eurasia.

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    Helium identification with LHCb

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    The identification of helium nuclei at LHCb is achieved using a method based on measurements of ionisation losses in the silicon sensors and timing measurements in the Outer Tracker drift tubes. The background from photon conversions is reduced using the RICH detectors and an isolation requirement. The method is developed using pp collision data at √(s) = 13 TeV recorded by the LHCb experiment in the years 2016 to 2018, corresponding to an integrated luminosity of 5.5 fb-1. A total of around 105 helium and antihelium candidates are identified with negligible background contamination. The helium identification efficiency is estimated to be approximately 50% with a corresponding background rejection rate of up to O(10^12). These results demonstrate the feasibility of a rich programme of measurements of QCD and astrophysics interest involving light nuclei

    Curvature-bias corrections using a pseudomass method

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    Momentum measurements for very high momentum charged particles, such as muons from electroweak vector boson decays, are particularly susceptible to charge-dependent curvature biases that arise from misalignments of tracking detectors. Low momentum charged particles used in alignment procedures have limited sensitivity to coherent displacements of such detectors, and therefore are unable to fully constrain these misalignments to the precision necessary for studies of electroweak physics. Additional approaches are therefore required to understand and correct for these effects. In this paper the curvature biases present at the LHCb detector are studied using the pseudomass method in proton-proton collision data recorded at centre of mass energy √(s)=13 TeV during 2016, 2017 and 2018. The biases are determined using Z→μ + μ - decays in intervals defined by the data-taking period, magnet polarity and muon direction. Correcting for these biases, which are typically at the 10-4 GeV-1 level, improves the Z→μ + μ - mass resolution by roughly 18% and eliminates several pathological trends in the kinematic-dependence of the mean dimuon invariant mass

    Momentum scale calibration of the LHCb spectrometer

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    For accurate determination of particle masses accurate knowledge of the momentum scale of the detectors is crucial. The procedure used to calibrate the momentum scale of the LHCb spectrometer is described and illustrated using the performance obtained with an integrated luminosity of 1.6 fb-1 collected during 2016 in pp running. The procedure uses large samples of J/ψ → μ + μ - and B+ → J/ψ K + decays and leads to a relative accuracy of 3 × 10-4 on the momentum scale

    Controlling T-Cell Activation with Synthetic Dendritic Cells Using the Multivalency Effect

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    Contains fulltext : 174408.pdf (publisher's version ) (Open Access)Artificial antigen-presenting cells (aAPCs) have recently gained a lot of attention. They efficiently activate T cells and serve as powerful replacements for dendritic cells in cancer immunotherapy. Focusing on a specific class of polymer-based aAPCs, so-called synthetic dendritic cells (sDCs), we have investigated the importance of multivalent binding on T-cell activation. Using antibody-functionalized sDCs, we have tested the influence of polymer length and antibody density. Increasing the multivalent character of the antibody-functionalized polymer lowered the effective concentration required for T-cell activation. This was evidenced for both early and late stages of activation. The most important effect observed was the significantly prolonged activation of the stimulated T cells, indicating that multivalent sDCs sustain T-cell signaling. Our results highlight the importance of multivalency for the design of aAPCs and will ultimately allow for better mimics of natural dendritic cells that can be used as vaccines in cancer treatment

    Affinity-Based Purification of Polyisocyanopeptide Bioconjugates

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    Contains fulltext : 177944.pdf (publisher's version ) (Closed access)Water-soluble polyisocyanopeptides (PICs) are a new class of synthetic polymers that mimic natural protein-based filaments. Their unique semiflexible properties combined with a length of several hundred nanometers have recently enabled a number of biomedical applications ranging from tissue engineering to cancer immunotherapy. One crucial step toward the further development of PICs for these applications is the efficient and controlled synthesis and purification of PIC-biomolecule conjugates. Considering the large size of PICs and the biomolecules to be conjugated, conjugation reactions do usually not proceed to completion due to steric effects. As a consequence, purification of the reaction mixture is necessary to separate the obtained bioconjugates from unreacted biomolecules. As a direct result of the semiflexible nature of PICs, standard polymer and protein purification methods based on molecular weight have not been successful. Here, we introduce a new affinity-based purification method utilizing biotin as an affinity tag. PICs decorated with a controlled and tunable density of biotin molecules (biotinPICs) were efficiently bound to and eluted from a monoavidin resin in buffered aqueous solution. Using these biotinPICs, two different protein conjugates were synthesized, one carrying the enzyme alkaline phosphatase (PhoA) and the other T-cell activating anti-CD3 antibodies. The resulting biotinPIC-protein conjugates were successfully obtained in high purity (>90%) and without any loss of protein activity. The high purity greatly simplifies the analysis of biotinPIC bioconjugates, such as the determination of the average number of biomolecules conjugated per biotinPIC chain. Most importantly, it allows for the direct and straightforward application of the obtained bioconjugates in the desired applications. The new method developed may further be adapted for the purification of other advanced bioconjugates that are difficult to obtain in high purity with the available standard methods

    Skier et apprendre la montagne

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    Apprentissage du ski à l'école primaire : connaître l'activité, déterminer les objectifs et les compétences, enseigner et faire apprendre. En document d'accompagnement, une fiche pédagogique cycle 2 : 'Atout ski alpin', avec des situations d'apprentissage axées sur la maîtrise de la glisse et du pilotage des skis par l'enfant
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