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  • Wear of highly crosslinked ... Wear of highly crosslinked polyethylene acetabular components
    Callary, Stuart A; Solomon, Lucian B; Holubowycz, Oksana T ... Acta orthopaedica, 20/3/4/, Volume: 86, Issue: 2
    Journal Article
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    Background and purpose - Wear rates of highly crosslinked polyethylene (XLPE) acetabular components have varied considerably between different published studies. This variation is in part due to the ...
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  • Practical recommendations t... Practical recommendations to combine small-molecule inhibitors and direct oral anticoagulants in patients with nonsmall cell lung cancer
    Otten, Leila S; Piet, Berber; van den Heuvel, Michel M ... European respiratory review, 06/2022, Volume: 31, Issue: 164
    Journal Article
    Peer reviewed
    Open access

    The risk for thromboembolisms in nonsmall cell lung cancer (NSCLC) patients is increased and often requires treatment or prophylaxis with direct oral anticoagulants (DOACs). Small-molecule inhibitors ...
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  • Management of the patient w... Management of the patient with eosinophilic asthma: a new era begins
    de Groot, Jantina C; Ten Brinke, Anneke; Bel, Elisabeth H D ERJ open research, 05/2015, Volume: 1, Issue: 1
    Journal Article
    Peer reviewed
    Open access

    Now that it is generally accepted that asthma is a heterogeneous condition, phenotyping of asthma patients has become a mandatory part of the diagnostic workup of all patients who do not respond ...
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  • 微生物宏蛋白质组——从样品处理、数据采集到数据分析 微生物宏蛋白质组——从样品处理、数据采集到数据分析
    WU, Enhui; QIAO, Liang Sepu, 07/2024, Volume: 42, Issue: 7
    Journal Article
    Peer reviewed

    微生物与人体疾病、健康密切相关,如何理解微生物群落的组成及其发挥的功能是一大亟需研究的问题。近年来,宏蛋白质组学已经成为研究微生物组成与功能的重要技术手段。然而,由于微生物群落样本的复杂性与高度异质性,样品处理、质谱数据采集与数据分析成为宏蛋白质组目前面临的三大挑战。在宏蛋白质组分析中往往需要针对不同类型的样品进行前处理优化,采取不同的微生物分离富集、提取和裂解方案。与单一物种蛋白质组相类似,宏蛋白质组学中的质谱数据采集模式有数据依赖性采集(data-dependent acquisition, DDA)模式和数据非依赖性采集(data-independent acquisition, DIA)模式。DIA数据采集模式可以完整地采集样品的肽段信息,具有很强的发展潜力。但是由于宏蛋白质组样品的复杂性,其DIA数据解析已成为阻碍宏蛋白质组深度覆盖的一大难题。在数据解析方面,最重要的步骤在于蛋白质序列数据库的构建。数据库的大小和完整性不仅对鉴定数量有很大影响,还会影响物种和功能水平上的分析。目前宏蛋白质组数据库构建的金标准是基于宏基因组的蛋白质序列数据库。同时,基于迭代搜库的公共数据库过滤方法也已被证明具有很强的实用价值。从具体的数据解析策略角度,以肽段为中心的DIA数据解析方法占据了绝对的主流。随着深度学习和人工智能的发展,其会极大地推动宏蛋白质组数据解析的准确度、覆盖度与分析速度。在下游生物信息学分析方面,近年来开发了一系列注释工具,可以在蛋白水平、肽段水平、基因水平上进行物种注释来获得微生物群落组成。与其他组学方法相比,微生物群落的功能分析是宏蛋白质组学的一个独特特征。宏蛋白质组已经成为微生物群落多组学分析中的重要组成部分,并且仍在覆盖深度、检测灵敏度、数据解析完整度等方面具有很大的发展潜力。
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  • 蛋白质N-磷酸化修饰富集方法进展 蛋白质N-磷酸化修饰富集方法进展
    JIANG, Bo; GAO, Bo; WEI, Shuxian ... Sepu, 07/2024, Volume: 42, Issue: 7
    Journal Article
    Peer reviewed

    蛋白质磷酸化作为一种最普遍和最重要的翻译后修饰调控着几乎所有的生命过程。随着高效富集方法和生物质谱技术的快速发展,低丰度的蛋白质 O -磷酸化修饰获得了规模化鉴定,从而使其生物学功能得到较为透彻的研究。而发生在组氨酸、赖氨酸和精氨酸侧链氨基的 N -磷酸化修饰,由于P-N键化学稳定性差,导致其在酸和热条件下不稳定。而目前依赖酸性条件的 O -磷酸化富集方法难以适用 N -磷酸化富集,导致蛋白质 ...
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