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    • 4. 发明申请
    • Process to study changes in gene expression in T lymphocytes
    • 研究T淋巴细胞基因表达变化的过程
    • US20070020618A1
    • 2007-01-25
    • US11408059
    • 2006-04-21
    • Yatindra PrasharSherman Weissman
    • Yatindra PrasharSherman Weissman
    • C12Q1/70C12Q1/68
    • C12Q1/6809G01N33/505
    • Methods are disclosed to identify T lymphocyte genes that are differentially expressed upon exposure to a pathogen (viral or bacterial), immunogen, antigen, or in a sterile inflammatory disease, autoimmune disease, immunodeficiency disease, lymphocytic cancers, or graft versus host rejection. The method involves the preparation of a gene expression profile of a T lymphocyte population exposed to a pathogen or isolated from a subject having one of the aforementioned pathologies and comparing that profile to a profile prepared from quiescent T lymphocytes. The present invention is useful for identifying cytokine genes, genes encoding cell surface receptors and genes encoding intermediary signalling molecules. Related methods for identifying therapeutic or prophylatic immunomodulatory agents are present. Articles of manufacture are disclosed that comprise selected grouping of nucleic acids, affixed to a solid support, that correspond to genes that are differentially expressed in various populations or subpopulations of T lymphocytes at variations stages of T cell differentiation, in quiescent versus activated T lymphocytes or normal versus diseased T lymphocytes.
    • 公开了鉴定暴露于病原体(病毒或细菌),免疫原,抗原或无菌炎性疾病,自身免疫性疾病,免疫缺陷病,淋巴细胞性癌症或移植物与宿主排斥中差异表达的T淋巴细胞基因的方法。 该方法涉及制备暴露于病原体或从具有上述病理学的受试者分离的T淋巴细胞群体的基因表达谱,并将其与由静止T淋巴细胞制备的分布进行比较。 本发明可用于鉴定细胞因子基因,编码细胞表面受体的基因和编码中间信号分子的基因。 存在用于鉴定治疗性或预防性免疫调节剂的相关方法。 公开了包含选定的核酸组合,其固定在固体支持物上,所述核酸对应于在T细胞分化的不同阶段,在静止与活化的T淋巴细胞中在T淋巴细胞的不同种群或亚群中差异表达的基因,或 正常与病态的T淋巴细胞。
    • 6. 发明授权
    • Method and system for computationally identifying clusters within a set
of sequences
    • 用于计算地识别一组序列内的簇的方法和系统
    • US6109776A
    • 2000-08-29
    • US63450
    • 1998-04-21
    • Juergen Haas
    • Juergen Haas
    • G06F17/30G06F19/22G06F19/24G01N1/00C12Q1/68G01N31/00G06G7/48
    • G06F19/24G06F19/22
    • A method and system for computationally analyzing an initial set of patterns in order to identify subsets of patterns, called clusters, that contain common sub-patterns. The patterns of the initial set of patterns are represented as linear sequences of subunits, and the common sub-patterns occur as sub-sequences of subunits within the linear sequences starting at different positions within the different linear sequences. Variations in the offset and in the sequence of subunits within a common sub-pattern are considered in the analysis. In one embodiment, an initial set of oligonucleotide sequences that are produced by various biochemical techniques are computationally analyzed to identify clusters that may correspond to a number of different binding sites for DNA-binding proteins within one or more double-stranded DNA duplexes. The method places each oligonucleotide sequence within a new cluster and calculates an initial information weight matrix for that cluster. Then, other sequences from the initial set of sequences are added to the cluster and the information weight matrix of the cluster is re-computed until the information content of the information weight matrix falls below a threshold value.
    • 一种用于计算分析初始图案集的方法和系统,以便识别包含公共子模式的称为簇的图案子集。 初始模式集合的模式被表示为子单元的线性序列,并且公共子模式作为从不同线性序列内的不同位置开始的线性序列内的子单元的子序列出现。 在分析中考虑了共同子模式中偏移量和子单元序列的变化。 在一个实施方案中,通过各种生物化学技术产生的初始寡核苷酸序列集合被计算分析以鉴定可以对应于一个或多个双链DNA双链体内DNA结合蛋白的多个不同结合位点的簇。 该方法将每个寡核苷酸序列置于新的簇内,并计算该簇的初始信息权重矩阵。 然后,将来自初始序列集合的其他序列添加到群集,并且重新计算群集的信息加权矩阵,直到信息加权矩阵的信息内容低于阈值。