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34 results about "Cell Proliferation Process" patented technology

As to increase in number and size, this is achieved through the process of mitosis or cell division. Cells also proliferate and differentiate in order to adapt to a more complex structure and function. CELL PROLIFERATION: "Normally, cell proliferation is a growth process which involves the rapid increase of cells.".

Method for clustering lasso cluster characteristics based on network analysis

The invention discloses a method for clustering lasso cluster characteristics based on network analysis, which is mainly used for solving the clustering of related expressed genes in bioengineering and establishing a lasso cluster model by using the method. The method comprises the steps of firstly, dividing experimental data into a positive data set and a negative data set, and respectively establishing a weighting co-expression gene network (adjacent matrix) corresponding to the positive data set or the negative data set; secondly, determining important network modules respectively corresponding to a positive sample and a negative sample; thirdly, simplifying a positive sample network module by utilizing a negative sample network module according to the experiment background; finally, clustering the characteristics according to the simplified positive sample network module, and establishing a lasso cluster and a promotion model of the lasso cluster according to the clustering. According to the method disclosed by the invention, the characteristic clustering of the lasso cluster is successfully and organically combined with module selection of network analysis, the operation is easy, the clustering method can be applied to screening of related genes in liver regenerative cell proliferation, and the method has an important application value in simulating a cell proliferation process of complicated diseases such as liver cirrhosis and cancer and screening new drugs.
Owner:HENAN NORMAL UNIV

Culture method for Schwann cells

The invention discloses a culture method for Schwann cells. The culture method comprises the following steps: S1, culturing mononuclear cells in umbilical cord blood by virtue of an MSCs culture medium to obtain P1 generation umbilical cord blood MSCs; S2, culturing the P1 generation umbilical cord blood MSCs by virtue of a neural sphere culture medium, and harvesting P3 generation neural spheres; and S3, culturing the P3 generation neural spheres by virtue of a Schwann cell culture medium, so that the Schwann cells are obtained. The culture method disclosed by the invention has the beneficial effects that the Schwann cells sourced from umbilical cord blood MSCs are cultured by virtue of a nestin+ neural sphere stage; and formation of the neural spheres is induced by adopting the P1 generation umbilical cord blood MSCs, and neural sphere formation rate reaches up to 41%. The invention also provides a specific neural sphere culture medium, the umbilical cord blood MSCs can be sufficiently induced to be formed into nestin+ neural spheres; and a specific culture scheme that nestin+ neural precursor cells are differentiated into the Schwann cells is provided, adherence and migration of the nestin+ neural precursor cells can be obviously promoted, and agglomeration and multilayer growth in a cell proliferation process are prevented.
Owner:北京再生生物科技研究院有限公司

A Grouping Method of Group Lasso Characteristic Based on Network Analysis

The invention discloses a method for clustering lasso cluster characteristics based on network analysis, which is mainly used for solving the clustering of related expressed genes in bioengineering and establishing a lasso cluster model by using the method. The method comprises the steps of firstly, dividing experimental data into a positive data set and a negative data set, and respectively establishing a weighting co-expression gene network (adjacent matrix) corresponding to the positive data set or the negative data set; secondly, determining important network modules respectively corresponding to a positive sample and a negative sample; thirdly, simplifying a positive sample network module by utilizing a negative sample network module according to the experiment background; finally, clustering the characteristics according to the simplified positive sample network module, and establishing a lasso cluster and a promotion model of the lasso cluster according to the clustering. According to the method disclosed by the invention, the characteristic clustering of the lasso cluster is successfully and organically combined with module selection of network analysis, the operation is easy, the clustering method can be applied to screening of related genes in liver regenerative cell proliferation, and the method has an important application value in simulating a cell proliferation process of complicated diseases such as liver cirrhosis and cancer and screening new drugs.
Owner:HENAN NORMAL UNIV
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