CELL FREE CD4 QUANTITATION AND METHODS OF USE
    3.
    发明申请
    CELL FREE CD4 QUANTITATION AND METHODS OF USE 审中-公开
    细胞免费的CD4定量和使用方法

    公开(公告)号:US20130022991A1

    公开(公告)日:2013-01-24

    申请号:US13450532

    申请日:2012-04-19

    摘要: The present invention provides a low-cost cell-free assay, the α-test, that provides point-of-care CD4 enumeration using a single platform assay thereby eliminating the need for high-end instrumentation, calibrated pipetting, and specialized technical training. The number of CD4 T cells in blood is driven by the concentration of the protein α1proteinase inhibitor (α1PI, α1antitrypsin, serpin A1). The invention features, in part, methods for determining the number of CD4+ T cells in a sample comprising determining the concentration of alpha 1 proteinase inhibitor (α1PI) in a sample; wherein the number of CD4+ T-cells is related to the concentration of α1PI.

    摘要翻译: 本发明提供了一种低成本无细胞测定法,即α检验,其使用单一平台测定法提供点护理CD4计数,从而消除对高端仪器,校准移液和专门技术训练的需要。 血液中的CD4 T细胞数由蛋白质α1蛋白酶抑制剂(α1PI,α1抗胰蛋白酶,丝氨酸蛋白酶抑制剂A1)的浓度驱动。 本发明部分地特征在于测定样品中CD4 + T细胞数目的方法,包括测定样品中α1蛋白酶抑制剂(α1PI)的浓度; 其中CD4 + T细胞的数目与α1PI的浓度有关。

    Polymers for functional particles
    7.
    发明申请
    Polymers for functional particles 有权
    功能颗粒聚合物

    公开(公告)号:US20080081074A1

    公开(公告)日:2008-04-03

    申请号:US11803843

    申请日:2007-05-15

    摘要: The present invention generally relates to polymers and macromolecules, in particular, to block polymers useful in particles such as nanoparticles. One aspect of the invention is directed to a method of developing nanoparticles with desired properties. In one set of embodiments, the method includes producing libraries of nanoparticles having highly controlled properties, which can be formed by mixing together two or more macromolecules in different ratios. One or more of the macromolecules may be a polymeric conjugate of a moiety to a biocompatible polymer. In some cases, the nanoparticle may contain a drug. The moiety, in some embodiments, may have a molecular weight greater than about 1000 Da; for example, the moiety may include a polypeptide or a polynucleotide, such as an aptamer. The moiety may also be a targeting moiety, an imaging moiety, a chelating moiety, a charged moiety, or a therapeutic moiety. Another aspect of the invention is directed to systems and methods of producing such polymeric conjugates. In some embodiments, a solution containing a polymer is contacted with a liquid, such as an immiscible liquid, to form nanoparticles containing the polymeric conjugate. Other aspects of the invention are directed to methods using such libraries, methods of using or administering such polymeric conjugates, methods of promoting the use of such polymeric conjugates, kits involving such polymeric conjugates, or the like.

    摘要翻译: 本发明一般涉及聚合物和大分子,特别是阻止可用于颗粒如纳米颗粒的聚合物。 本发明的一个方面涉及一种开发具有所需性质的纳米颗粒的方法。 在一组实施方案中,该方法包括制备具有高度控制性质的纳米颗粒的文库,其可通过将两种或多种不同比例的大分子混合在一起形成。 一个或多个大分子可以是部分与生物相容性聚合物的聚合物缀合物。 在一些情况下,纳米颗粒可以含有药物。 在一些实施方案中,该部分可具有大于约1000Da的分子量; 例如,该部分可以包括多肽或多核苷酸,例如适体。 该部分还可以是靶向部分,成像部分,螯合部分,带电部分或治疗部分。 本发明的另一方面涉及制备这种聚合物缀合物的系统和方法。 在一些实施方案中,将含有聚合物的溶液与诸如不混溶液体的液体接触以形成含有聚合物缀合物的纳米颗粒。 本发明的其它方面涉及使用这种文库的方法,使用或施用这种聚合物缀合物的方法,促进使用这种聚合物缀合物的方法,涉及这种聚合物缀合物的试剂盒等。

    Method and display for multivariate classification
    10.
    发明授权
    Method and display for multivariate classification 失效
    多变量分类方法和显示

    公开(公告)号:US06868342B2

    公开(公告)日:2005-03-15

    申请号:US09977054

    申请日:2001-10-12

    申请人: George L. Mutter

    发明人: George L. Mutter

    CPC分类号: G06F19/24 G06F19/20 G06F19/26

    摘要: The present invention represents a new approach to data analysis for multivariate classification, particularly as used in medical diagnostics. The invention is in part an intuitive decision making tool for rapid classification of “objects” (e.g., cell, tissue or tumor samples) from evaluation of many simultaneous “variables” (e.g., quantitative gene expression profiles). The data analysis methods of the invention provide the end user with a simplified and robust output for diagnostic classification of objects based on identifying and evaluating multiple variables of predetermined diagnostic relevance. The raw data generated by analysis of the variables is transformed by application or appropriate algorithms to scaleless rank differentials between the variables. The rank orders of variables are used to classify tissues based on readily observable user interfaces, such as a graphical (e.g., visual) user interface or an auditory user interface.

    摘要翻译: 本发明代表用于多变量分类的数据分析的新方法,特别是在医学诊断中使用。 本发明部分地是用于快速分类“对象”(例如,细胞,组织或肿瘤样品)的许多同时“变量”(例如,定量基因表达谱)的直观决策工具。 本发明的数据分析方法基于识别和评估预定诊断相关性的多个变量,为终端用户提供用于诊断对象分类的简化和鲁棒的输出。 通过分析变量生成的原始数据通过应用程序或适当的算法转换为变量之间的无阶级差异。 变量的等级顺序用于基于容易观察的用户界面(诸如图形(例如,可视化)用户界面或听觉用户界面)来对组织进行分类。