31 results about "Mrna gene expression" patented technology

The invention discloses an shRNA sequence for inhibiting mouse MACF1 gene expression and application thereof, which is used to solve the technical problem of low efficiency of the existing shRNA sequence for inhibiting mouse MACF1 gene expression. The technical solution is to clone the shRNA sequence that inhibits the expression of the mouse MACF1 gene into the pGLV3 lentiviral vector to obtain a recombinant lentiviral vector containing the shRNA sequence; the obtained recombinant vector is used to transfect mouse cells to achieve inhibition Purpose of MACF1 gene expression in cells. The shRNA sequence mentioned above can obviously inhibit the expression of MACF1 gene at mRNA and protein levels in mouse preosteoblasts. The proliferation, migration and differentiation functions of preosteoblasts were inhibited by inhibiting the expression of MACF1 in mouse preosteoblasts. The inhibition rate of the present invention at the protein level reaches over 90%, and the inhibition rate at the gene level reaches 81%.

A system for controlling gene expression in yeast comprises a repressible gene expression plasmid that has a regulator binding sequence for camR and a target gene sequence. The system also includes a transcription enhancer expression plasmid; wherein said transcriptional activator protein binds to the regulator binding sequence in the absence of a transcriptional inhibitor. The system is used in a method for controlling expression of the target gene through the use of camphor. The target gene is expressed in the absence of camphor but unexpressed if camphor is added to a solution of cells containing the plasmids.

The present invention provides a molecular type prediction system for ovarian cancer, which mainly includes the following steps: step 1, ovarian cancer mRNA gene expression characteristic data extraction module: obtain ovarian cancer gene expression data; step 2, use skleam for all gene expression data The preprocessing.scale method performs standardization processing, according to the formula Z-scroce=(x-μ) / S 2 , process each piece of mRNA expression profile data into data with a mean value of 0 and a variance of 1 that obeys a normal distribution; step 3, select the main characteristic gene data: use principal component analysis (PCA) and Filter feature selection method; step 4, Use the BP neural network to train the model on the genetic data of N features; step 5, use a certain amount of samples to carry out the verification of the bring-back program, and the present invention can realize automatic machine identification and error reporting by means of ovarian cancer pathological slices, and realize fast and high-accuracy Ovarian cancer molecular typing prediction: Utilizing the system of the present invention to predict ovarian cancer molecular typing can better help improve clinical treatment plans.

The invention relates to the field of genetic engineering, and specifically discloses a gene expression system and a eukaryotic expression vector for producing recombinant proteins using CHO cells. The eukaryotic expression vector includes a GS expression unit, and the GS expression unit includes 5' to 3' TK promoter gene sequence, glutamine synthetase gene sequence and SV40 poly A gene sequence arranged in sequence in the direction; the expression system of the present invention includes eukaryotic expression vector and CHO cell, and this expression system can realize exogenous gene in CHO cell genome The integration and high-efficiency expression in the protein have broad application prospects in the field of protein preparation.