-
公开(公告)号：US08694263B2
公开(公告)日：2014-04-08
申请号：US10851779
申请日：2004-05-21
申请人： Michael H Wigler , John Healy , Robert Lucito
发明人： Michael H Wigler , John Healy , Robert Lucito
IPC分类号： G01N33/48
CPC分类号： C07H21/04
摘要： The invention provides oligonucleotide probes that can be used to hybridize to a representation of nucleic acid sequences. Compositions containing the probes such as microarrays are also provided. The invention also provides methods of using these probes and compositions in therapeutic, diagnostic, and research applications. Systems and methods for using a word counting algorithm that can quickly and accurately count the number of times a particular string of characters (i.e., nucleotides) appears in a nucleotide sequence (e.g., a genome) are provided. This algorithm can be used to identify the oligonucleotide probes of the invention. The algorithm uses a transform of a genome and an auxiliary data structure to count the number of times a particular word occurs in the genome.
摘要翻译： 本发明提供可用于与核酸序列表示杂交的寡核苷酸探针。 还提供了包含探针如微阵列的组合物。 本发明还提供了在治疗，诊断和研究应用中使用这些探针和组合物的方法。 提供了使用字计数算法的系统和方法，其可以快速且准确地计算特定字符串（即，核苷酸）出现在核苷酸序列（例如基因组）中的次数。 该算法可用于鉴定本发明的寡核苷酸探针。 该算法使用基因组和辅助数据结构的变换来计算特定词在基因组中发生的次数。
-
公开(公告)号：US20050032095A1
公开(公告)日：2005-02-10
申请号：US10851779
申请日：2004-05-21
申请人： Michael Wigler , John Healy , Robert Lucito
发明人： Michael Wigler , John Healy , Robert Lucito
CPC分类号： C07H21/04
摘要： The invention provides oligonucleotide probes that can be used to hybridize to a representation of nucleic acid sequences. Compositions containing the probes such as microarrays are also provided. The invention also provides methods of using these probes and compositions in therapeutic, diagnostic, and research applications. Systems and methods for using a word counting algorithm that can quickly and accurately count the number of times a particular string of characters (i.e., nucleotides) appears in a nucleotide sequence (e.g., a genome) are provided. This algorithm can be used to identify the oligonucleotide probes of the invention. The algorithm uses a transform of a genome and an auxiliary data structure to count the number of times a particular word occurs in the genome.
摘要翻译： 本发明提供可用于与核酸序列表示杂交的寡核苷酸探针。 还提供了包含探针如微阵列的组合物。 本发明还提供了在治疗，诊断和研究应用中使用这些探针和组合物的方法。 提供了使用字计数算法的系统和方法，其可以快速且准确地计算特定字符串（即，核苷酸）出现在核苷酸序列（例如基因组）中的次数。 该算法可用于鉴定本发明的寡核苷酸探针。 该算法使用基因组和辅助数据结构的变换来计算特定词在基因组中发生的次数。
-
3.发明申请公开(公告)号：US20130196877A1
公开(公告)日：2013-08-01
申请号：US13877346
申请日：2011-10-04
申请人： Nilanjana Banerjee , Angel Janevski , Sitharthan Kamalakaran , Vinay Varadan , Nevenka Dimitrova , Robert Lucito
发明人： Nilanjana Banerjee , Angel Janevski , Sitharthan Kamalakaran , Vinay Varadan , Nevenka Dimitrova , Robert Lucito
IPC分类号： G06F19/20
摘要： The present invention relates to a method for identifying multi-modal associations between biomedical markers which allows for the determination of network nodes and/or high ranking network members or combinations thereof, indicative of having a diagnostic, prognostic or predictive value for a medical condition, in particular ovarian cancer. The present invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy, preferably a platinum based cancer therapy, wherein said bio-medical marker or group of biomedical markers comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 8, 19, 20 or all markers selected from PKMYT1, SKIL, RAB8A, HIRIP3, CTNNB1, NGFR, ZCCHC11, LSP1, CD200, PAX8, CYBRD1, HOXC11, TCEAL1, FZD10,FZD1, BBS4, IRS2, TLX3, TSPAN2, TXN, and CFLAR. Furthermore, an assay for detecting, diagnosing, graduating, monitoring or prognosticating a medical condition, or for detecting, 1 diagnosing, monitoring or prognosticating the responsiveness of a subject to a therapy against said medical condition, in particular ovarian cancer, is provided, as well as a corresponding method for classifying a subject comprising and a medical decision support system.
摘要翻译： 本发明涉及一种用于识别生物医学标记之间的多模式关联的方法，其允许确定网络节点和/或高排名网络成员或其组合，指示具有用于医疗状况的诊断，预后或预测值， 特别是卵巢癌。 本发明还涉及与受试者对癌症治疗（优选基于铂的癌症治疗）的高反应性的高可能性相关联的生物医学标记物或生物医学标记物组，其中所述生物医学标记物或生物医学标记物组至少包括 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,8,19,20或选自PKMYT1，SKIL，RAB8A， HIRIP3，CTNNB1，NGFR，ZCCHC11，LSP1，CD200，PAX8，CYBRD1，HOXC11，TCEAL1，FZD10，FZD1，BBS4，IRS2，TLX3，TSPAN2，TXN和CFLAR。 此外，提供了用于检测，诊断，毕业，监测或预测医学状况或用于检测1诊断，监测或预测受试者对于针对所述医学病症，特别是卵巢癌的治疗的反应性的测定法，作为 以及用于分类受试者的相应方法以及医疗决策支持系统。
-
公开(公告)号：US10340027B2
公开(公告)日：2019-07-02
申请号：US13877346
申请日：2011-10-04
申请人： Nilanjana Banerjee , Angel Janevski , Sitharthan Kamalakaran , Vinay Varadan , Nevenka Dimitrova , Robert Lucito
发明人： Nilanjana Banerjee , Angel Janevski , Sitharthan Kamalakaran , Vinay Varadan , Nevenka Dimitrova , Robert Lucito
摘要： The present invention relates to a method for identifying multi-modal associations between biomedical markers which allows for the determination of network nodes and/or high ranking network members or combinations thereof, indicative of having a diagnostic, prognostic or predictive value for a medical condition, in particular ovarian cancer. The present invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy, preferably a platinum based cancer therapy, wherein said biomedical marker or group of biomedical markers comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 8, 19, 20 or all markers selected from PKMYT1, SKIL, RAB8A, HIRIP3, CTNNB1, NGFR, ZCCHC11, LSP1, CD200, PAX8, CYBRD1, HOXC11, TCEAL1, FZD10, FZD1, BBS4, IRS2, TLX3, TSPAN2, TXN, and CFLAR. Furthermore, an assay for detecting, diagnosing, graduating, monitoring or prognosticating a medical condition, or for detecting, 1 diagnosing, monitoring or prognosticating the responsiveness of a subject to a therapy against said medical condition, in particular ovarian cancer, is provided, as well as a corresponding method for classifying a subject comprising and a medical decision support system.
-
公开(公告)号：US08652777B2
公开(公告)日：2014-02-18
申请号：US12678423
申请日：2008-09-16
CPC分类号： C12Q1/6886 , C12Q2600/154 , C12Q2600/156
摘要： The invention relates to a method for the analysis of ovarian cancer disorders, comprising determining the genomic methylation status of one or more CpG dinucleotides in a sequence selected from the group of sequences according to SEQ ID NO. 1 to 10 and/or SEQ ID NO. 50 to SEQ ID NO. 60. Optionally, additionally following steps are performed, the one or more results from the methylation status test is input into a classifier that is obtained from a Diagnostic Multi Variate Model, calculating a likelihood as to whether the sample is from a normal tissue or an ovarian cancer tissue and/or, calculating an associated p-value for the confidence in the prediction.
摘要翻译： 本发明涉及一种用于分析卵巢癌病症的方法，包括确定一种或多种CpG二核苷酸的基因组甲基化状态，所述序列选自SEQ ID NO。 1至10和/或SEQ ID NO。 50至SEQ ID NO。 可选地，另外执行以下步骤，将来自甲基化状态测试的一个或多个结果输入到从诊断多变量模型获得的分类器中，计算样品是来自正常组织或 卵巢癌组织和/或计算预测中置信度的相关p值。
-
公开(公告)号：US20110224103A1
公开(公告)日：2011-09-15
申请号：US12993917
申请日：2009-05-14
摘要： A method is provided allowing for automatic selection of enzymes to be used in protocols such as methylation profiling, chip-on-chip, and comparative genomic hybridization experiments. The method may also maximize the space on a micro array for a given experiment. This means that the results from the micro array are improved. The method also improves zero-in and focus of significant patterns on a micro array. This enhances the ability to distinguish two separate classes of samples, e.g. tumour vs. normal, aggressive vs. non-aggressive, male vs. female, etc. Furthermore, a computer readable medium and a device are also provided.
摘要翻译： 提供了允许自动选择要用于诸如甲基化分析，片上芯片和比较基因组杂交实验的方案中的酶的方法。 该方法还可以使给定实验的微阵列上的空间最大化。 这意味着微阵列的结果得到改进。 该方法还改善了微阵列上显着图形的零入和聚焦。 这增强了区分两个不同类别样品的能力，例如。 肿瘤与正常，侵略性与非侵略性，男性与女性等。此外，还提供计算机可读介质和装置。
-
公开(公告)号：US20130090257A1
公开(公告)日：2013-04-11
申请号：US13704070
申请日：2011-06-21
CPC分类号： G16B20/00 , C12Q1/6809 , G16B5/00 , G16B25/00 , G16B40/00
摘要： A method for assigning ranking scores to pathways in a set of pathways for classifying patients is disclosed. The method comprises the steps of comparing biomolecular datasets from different groups of patients and performing an analysis in order to assign ranking scores to pathways in a set of pathways. Furthermore, a method for using cancer pathway evaluation to support clinical decision making is disclosed. This assessment is further used for stratifying ovarian cancer patients based on chemosensitivity to platinum based drugs, the standard chemotherapy. We present the method for evaluation and ranking of the most relevant pathways responsible for platinum sensitivity. Clinical decision support software system should be able to then visualize this information for a clinician, contextualize it within a patient data set and help make a final decision on the potential responsiveness.
摘要翻译： 公开了一种用于将排序评分分配给用于分类患者的一组途径中的途径的方法。 该方法包括比较来自不同组患者的生物分子数据集并执行分析以便将一系列途径中的路径分配评级的步骤。 此外，公开了一种使用癌症途径评估来支持临床决策的方法。 该评估进一步用于基于对铂类药物（标准化学疗法）的化学敏感性对卵巢癌患者进行分层。 我们介绍了负责铂敏感性的最相关途径的评估和排名方法。 临床决策支持软件系统应该能够为临床医生可视化这些信息，并在病人数据集内进行语境化，并帮助对潜在的反应能力做出最终决定。
-
公开(公告)号：US20100273674A1
公开(公告)日：2010-10-28
申请号：US12678423
申请日：2008-09-16
CPC分类号： C12Q1/6886 , C12Q2600/154 , C12Q2600/156
摘要： The invention relates to a method for the analysis of ovarian cancer disorders, comprising determining the genomic methylation status of one or more CpG dinucleotides in a sequence selected from the group of sequences according to SEQ ID NO. 1 to 10 and/or SEQ ID NO. 50 to SEQ ID NO. 60. Optionally, additionally following steps are performed, the one or more results from the methylation status test is input into a classifier that is obtained from a Diagnostic Multi Variate Model, calculating a likelihood as to whether the sample is from a normal tissue or an ovarian cancer tissue and/or, calculating an associated p-value for the confidence in the prediction.
摘要翻译： 本发明涉及一种用于分析卵巢癌病症的方法，包括确定一种或多种CpG二核苷酸的基因组甲基化状态，所述序列选自SEQ ID NO。 1至10和/或SEQ ID NO。 50至SEQ ID NO。 可选地，另外执行以下步骤，将来自甲基化状态测试的一个或多个结果输入到从诊断多变量模型获得的分类器中，计算样品是来自正常组织或 卵巢癌组织和/或计算预测中置信度的相关p值。
-
公开(公告)号：US07531307B2
公开(公告)日：2009-05-12
申请号：US11094388
申请日：2005-03-30
申请人： Michael Wigler , Robert Lucito
发明人： Michael Wigler , Robert Lucito
IPC分类号： C12Q1/68
CPC分类号： C12Q1/6809 , C12Q1/6837 , C12Q1/6855 , C12Q2533/101
摘要： It is an object of the present invention to provide a solution to problems associated with the use of microarray technology for the analysis DNA. The present invention provides compositions and methods for the use of simple and compound representations of DNA in microarray technology. The present invention is also directed to methods for the production of High Complexity Representations (HCRs) of the DNA from cells.
摘要翻译： 本发明的目的是提供一种解决与分析DNA使用微阵列技术相关的问题。 本发明提供了在微阵列技术中使用DNA的简单和复合表示的组合物和方法。 本发明还涉及从细胞生产DNA的高复杂度表示（HCR）的方法。
-
公开(公告)号：US20050196799A1
公开(公告)日：2005-09-08
申请号：US11094388
申请日：2005-03-30
申请人： Michael Wigler , Robert Lucito
发明人： Michael Wigler , Robert Lucito
CPC分类号： C12Q1/6809 , C12Q1/6837 , C12Q1/6855 , C12Q2533/101
摘要： It is an object of the present invention to provide a solution to problems associated with the use of microarray technology for the analysis DNA. The present invention provides compositions and methods for the use of simple and compound representations of DNA in microarray technology. The present invention is also directed to methods for the production of High Complexity Representations (HCRs) of the DNA from cells.
摘要翻译： 本发明的目的是提供一种解决与分析DNA使用微阵列技术相关的问题。 本发明提供了在微阵列技术中使用DNA的简单和复合表示的组合物和方法。 本发明还涉及从细胞生产DNA的高复杂度表示（HCR）的方法。
-
-
-
-
-
-
-
-
-
搜索结果
13 条记录 (耗时 0.033 秒)
