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153 results about "Cancer gene" patented technology

Differentially expressed gene identification method based on combined constraint non-negative matrix factorization

ActiveCN107016261AEffective decomposition resultsEfficient Sparse Decomposition ResultsSpecial data processing applicationsData setAlgorithm
The invention discloses a differentially expressed gene identification method based on combined constraint non-negative matrix factorization. The method comprises the following steps of 1, representing a cancer-gene expression data set with a non-negative matrix X, 2, constructing a diagonal matrix Q and an element-full matrix E, 3, introducing manifold learning in the classical non-negative matrix factorization method, conducting orthogonal-constraint sparseness and constraint on a coefficient matrix G, and obtaining a combined constraint non-negative matrix factorization target function, 4, calculating the target function, and obtaining iterative formulas of a basis matrix F and the coefficient matrix G, 5, conducting semi-supervision non-negative matrix factorization on the non-negative data set X, and obtaining the basis matrix F and the coefficient matrix G after iteration convergence, 6, obtaining an evaluation vector (the formula is shown in the description), sorting elements in the evaluation vector (the formula is shown in the description) from large to small according to the basis matrix F, and obtaining differentially expressed genes, 7, testing and analyzing the identified differentially expressed genes through a GO tool. The identification method can effectively extract the differentially expressed genes where cancer data is concentrated, and be applied in discovering differential features in a human disease gene database. The identification method has important clinical significance for early diagnosis and target treatment of diseases.
Owner:HANGZHOU HANGENE BIOTECH CO LTD

Eukaryotic expression vector for expressing shRNA (short hairpin Ribonucleic Acid) in manner of targeting in cancer cells

InactiveCN101993892ASolve the problem of non-specific interferenceGenetic material ingredientsMicroorganism based processesCancer cellReverse transcriptase
The invention provides a eukaryotic expression vector for expressing shRNA (short hairpin Ribonucleic Acid) in manner of targeting in cancer cells, comprising the structure as follows: (1) an expression cassette structure which is driven by a polII-type promoter and connects a fluorescent protein gene and a mirshRNA structure in series together; (2) a hTERT (human telomerase reverse transcriptase) promoter enhanced by a CMV (cytomegalovirus) enhancer and a SV40 (simian virus 40) enhancer; (3) mirshRNA structures based on mir30: mir30 left arm-shRNA-mir30 right arm, and multiple mirshRNA structures can be connected in series; (4) a Kan or Amp resistance selection marker; and (5) LR homologous recombination arms. By utilizing the method to construct the shRNA eukaryotic expression vector, one or more than one shRNA can be specifically expressed in the cancer cells in manner of targeting; normal cells are not influenced while the RNA interference and the gene therapy are carried out on the cancer cells, thereby solving the problem of non-specific interference during carrying out the gene therapy by utilizing the RNA interference and being beneficial to the research and the application of the RNA interference in the cancer gene therapy aspect.
Owner:HUNAN NENGRUN MEDICAL DIAGNOSIS TECH

Induced malignant stem cells

InactiveCN104080907AGenetically modified cellsDiagnosticsADAMTS ProteinsMetabolism abnormality
The present invention addresses the problem of providing malignant stem cells that can be grown in vitro and are useful in cancer therapy research and drug discovery research for cancer therapy, a method for producing same, cancer cells induced from the cells, and use for the cells. Provided are induced malignant stem cells that can be grown in vitro, the induced malignant stem cells being characterized in (1) having at least one type of abnormality selected from among (a) abnormal methylation (hypermethylation or hypomethylation) of a cancer suppressor gene or cancer-related gene region in the endogenous genome DNA, (b) somatic mutation of a cancer suppressor gene in the endogenous genome DNA or somatic mutation of an endogenous cancer-related gene, (c) abnormal expression (increased expression or decreased / lost expression); of an endogenous cancer gene or endogenous cancer suppressor gene, (d) abnormal expression (increased expression or decreased / lost expression) of non-coding RNA such as endogenous cancer-related micro RNA, (e) abnormal expression (increased expression or decreased / lost expression) of an endogenous cancer-related protein, (f) endogenous cancer-related metabolism abnormality (hypermetabolism or hypometabolism), or (g) abnormal endogenous cancer-related carbohydrate; and (2) expressing the POU5F1 gene, NANOG gene, SOX2 gene, and ZFP42 gene.
Owner:NAT CANCER CENT +1

Cancer gene expression profile data identification method based on integration of extreme learning machines

InactiveCN104463251AImprove the accuracy of tumor recognitionReduce learning costsBiostatisticsCharacter and pattern recognitionData setGene selection
The invention discloses a cancer gene expression profile data identification method based on integration of extreme learning machines. The method includes the steps of selection and integration of member extreme learning machines (ELMs). The method concretely includes the steps that preprocessing is carried out on a cancer gene expression profile data set, wherein the preprocessing includes gene selection and normalization of expression profile data; N sample sets are generated through a Bagging method, and each sample set is divided into a training set and a verification set according to a certain proportion; N ELMs are generated on the N training sets in a learning mode, and L ELMs (L&1t; N) with the highest recognition rate on the corresponding verification sets are selected to form an alternative member ELM base; K member ELMs (K&1t; L) forming an integrated system are selected from L ELMs based on the particle swarm optimization algorithm; the integrated vote weight of K member ELMs is worked out by utilizing the minimum-norm least square method; an integrated ELM system is obtained, and the integrated ELM system is used for performing tumor recognition on a newly increased cancer gene expression profile sample. Through the method, the cancer gene expression profile data can be quickly and accurately recognized.
Owner:JIANGSU UNIV OF SCI & TECH

Method for preparing chorionic mesenchymal stem cells

The invention provides a method for preparing chorionic mesenchymal stem cells. The method comprises the following steps: performing aseptic collection of placentas; separating chorionic tissues; acquiring chorionic mesenchymal stem cells; culturing the chorionic mesenchymal stem cells; performing frozen preservation on the chorionic mesenchymal stem cells; and reviving the chorionic mesenchymal stem cells. The method provided by the invention has the following technical effects: by adopting a pollution prevention method to reduce the probability of pollution from sources, the probability of pollution is effectively reduced by flushing a surface for multiple times; the pollution of hybrid cells is reduced; a single enzyme is adopted for digestion, thereby simplifying the process; the use of animal source components is reduced by using a serum-free culture medium for culture, the cell performance is stable, the in vitro long-term cultivation of the chorionic mesenchymal stem cells can be maintained, the form, proliferation ability, MSC surface marker expression and differentiation ability of the cells are maintained, and the expression of telomerase, the stable expression of cancer genes and the stable karyotype are maintained; and the enzyme digestion, frozen preservation and reviving cause no damage to the cells.
Owner:江苏省北科生物科技有限公司 +1

Chinese lung adenocarcinoma cell line with high metastases potentiality of bone, lever and adrenal gland

The invention belongs to the filed of microorganism animal cell lines and provides a Chinese lung adenocarcinoma cell line with high metastases potentiality of bone, lever and adrenal gland. According to the invention, hydrothorax of an adenocarcinoma first-diagnosis patient is used as primary culture of cells; the human adenocarcinoma cell has the preservation number of CGMCC No.3137 and classified name as human lung adenocarcinoma cell line CPA-Yang3, can grow adhered to the wall and has the tumorigenesis rate up to 100 percent; the human lung adenocarcinoma cell can grow quickly and metabolize vigorously; the expression levels of cancer genes EMS1, VEGF-C, IL-6, IL-8, SVIL and AR gene are higher than the expression level of SPC-A-1 cell; and the lung adenocarcinoma cancel cell has the biological characteristics of mainly transferring the bone and having high transfer potential of the lever and the adrenal gland, high growth speed of bone transfer cells and complete cell morphology. The invention can be used for providing reference data to early diagnosis for transferring the human lung adenocarcinoma bone, further establishing the relevant gene chip technology and assessing and exploring the curative effects of various medicaments and the like by comprehensively applying the gene chip, quantifying PCR (Polymerase Chain Reaction), western blot in real time and other technologies.
Owner:SHANGHAI CHEST HOSPITAL

Method for establishing pancreatic cancer model

The invention relates to a method for establishing a pancreatic cancer model, and belongs to the technical field of the establishment of an animal model. According to the method, a slow virus for over-expressing one cancer gene and simultaneous knocking down two cancer suppressor genes is constructed according to cancer genes and cancer suppressor genes having the maximum mutation rate in human pancreatic cancer in TCGA database, and the slow virus is applied to the pancreas head of a tree shrew through orthotopic injection so as to induce pancreatic cancer of the tree shrew; and specifically, the method comprises the following steps: (1) construction of a slow virus vector; (2) virus packaging, titre determination and in vitro verification; (3) virus injection; and (4) monitoring and pathological investigation of the tree shrew. The method disclosed by the invention has the advantages that the method is short in inducing cycle, high and stable in morbidity, and simple and convenient in operation, and is capable of rapidly and effectively establishing a tree shrew pancreatic cancer model for simulating the genetic mechanism of human pancreatic cancer to the greatest extent; and the pancreatic cancer model is applicable to the research of the pathogenesis of human pancreatic cancer, the exploration of cancer therapy targets and the development of novel antineoplastic drugs, so as to offer a reference for the treatment of human pancreatic cancer.
Owner:成都豆麦科技有限公司

Capture sequencing probe and application thereof

The invention belongs to the technical field of biology, and particularly discloses a capture sequencing probe and application thereof. The capture sequencing probe comprises at least one nucleotide sequence selected from the following nucleotide sequences: SEQIDNO: 1-2909. A method for capturing the sequencing probe in rectal cancer gene sequencing comprises the following steps: extracting DNA double-stranded nucleic acid; carrying out denaturation treatment on the DNA double-stranded nucleic acid to obtain a DNA single strand, and capturing the DNA single strand by using the capture probe; and carrying out computer sequencing on the captured DNA single strand to obtain a nucleic acid sequence in tumor tissues. The invention also discloses a kit which comprises the capture sequencing probe. The invention also discloses application of the kit in capturing a target sequence of a genome related to individualized medication of colorectal cancer. The capture probe can efficiently and completely capture the critical region of the colorectal cancer genome, obviously enhances the sequencing depth, greatly lowers the detection cost and sequencing data quantity, shortens the single sample analysis time, and meets the individualized user demands.
Owner:XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
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