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    • 11. 发明申请
    • Test of amino acid sequence constituting peptide using isotopic ratio
    • 使用同位素比测试构成肽的氨基酸序列
    • US20090012714A1
    • 2009-01-08
    • US11659113
    • 2005-08-04
    • Yasushi IshihamaTakatoshi Kawai
    • Yasushi IshihamaTakatoshi Kawai
    • G01N33/68
    • G16B50/00G16B30/00
    • It is an object of the present invention, when determining and identifying an amino acid sequence of a peptide using MS, to obtain additional information from the MS for evaluating validity of an amino acid sequence in a candidate list outputted from an identifying engine. The present invention provides a method of testing an amino acid sequence inferred by searching a peptide-related database based on peptide mass information and/or peptide modification information obtained through mass spectrometry on a peptide, the method comprising the steps: (1) calculating a theoretical value of an isotopic ratio for the peptide from the inferred amino acid sequence and/or the peptide modification information; (2) measuring a measured value of the isotopic ratio for the peptide from the peptide mass information; and (3) comparing the theoretical value and the measured value, and evaluating validity of the inferred amino acid sequence from differences between the theoretical value and the measured value.
    • 本发明的目的是,当使用MS确定和鉴定肽的氨基酸序列时,从MS中获得用于评估从识别引擎输出的候选列表中的氨基酸序列的有效性的附加信息。 本发明提供了一种通过基于肽质量信息和/或通过质谱法获得的肽修饰信息在肽上搜索肽相关数据库来推断的氨基酸序列的方法,所述方法包括以下步骤:(1)计算 来自推断的氨基酸序列和/或肽修饰信息的肽的同位素比的理论值; (2)从肽质量信息测量肽的同位素比的测定值; 和(3)比较理论值和测量值,并根据理论值和测量值之间的差异评估推断的氨基酸序列的有效性。
    • 12. 发明申请
    • Absolute Quantitation of Protein Contents Based on Exponentially Modified Protein Abundance Index by Mass Spectrometry
    • 基于指数变化的蛋白质丰度指数的蛋白质内容的绝对定量
    • US20080319676A1
    • 2008-12-25
    • US11658592
    • 2005-07-04
    • Yasushi Ishihama
    • Yasushi Ishihama
    • G01N33/68
    • G01N33/6803G01N33/6848
    • The present inventor has established protein abundance index (PAI, π) to determine the protein contents in a protein mixture solution using nanoLC-MSMS data. Digested peptides were analyzed by nanoLC-MS/MS and the obtained results were applied to a Mascot protein identification algorism based on tandem mass spectra. PAI is defined as the number of observed peptides divided by the number of observable peptides per protein. PAI from different concentrations of serum albumin showed linear relationship to the logarithm of the protein concentration. This was also valid for 47 proteins in a mouse whole cell lysate analyzed by single run of nanoLC-MS/MS. On the other hand, Mascot protein scores as well as the number of identified peptides per protein were less correlated to the protein abundance. For absolute quantitation, PAI was converted to exponentially modified PAI (EMPAI, mπ), which is proportional to protein contents in the protein mixture. For the 47 proteins in the whole lysate, the deviation percentages of the EMPAI-based concentrations to the actual values were within 63% in average. EMPAI was successfully applied to comprehensive protein expression analysis and performed a comparison study between gene and protein expression in an HCT116 human cancer cells. Accordingly, the present invention provides a method and a computer program for quantifying the protein contents based on the protein abundance index.
    • 本发明人利用nanoLC-MSMS数据建立了蛋白质丰度指数(PAI,pi),以确定蛋白质混合溶液中的蛋白质含量。 通过纳米LC-MS / MS分析消化肽,将得到的结果应用于基于串联质谱的吉祥物蛋白鉴定算法。 PAI定义为观察到的肽数除以每个蛋白质的可观察肽数。 不同浓度血清白蛋白的PAI与蛋白质浓度的对数呈线性关系。 这也对通过单次纳米LC-MS / MS分析的小鼠全细胞裂解物中的47种蛋白质有效。 另一方面,Mascot蛋白质分数以及每个蛋白质鉴定的肽数量与蛋白质丰度较不相关。 为了绝对定量,将PAI转化为指数变化的PAI(EMPAI,mpi),其与蛋白质混合物中的蛋白质含量成比例。 对于整个裂解物中的47种蛋白质,EMPAI基浓度与实际值的偏差百分比在63%以内。 EMPAI成功应用于综合蛋白表达分析,并在HCT116人类癌细胞中进行基因与蛋白质表达的比较研究。 因此,本发明提供了一种用于基于蛋白质丰度指数量化蛋白质含量的方法和计算机程序。