54 results about "Gene model" patented technology

Gene expression profiling reveals four distinct subgroups of multiple myeloma that have significant correlation with various clinical characteristics. Diagnosis for multiple myeloma (and possibly monoclonal gammopathy of undetermined significance) based on differential expression of 14 genes, as well as prognosis for the four subgroups of multiple myeloma based on the expression of 24 genes are established. A 15-gene model that classifies myeloma into 7 groups is also reported. Gene expression profiling also allows placing multiple myeloma into a developmental schema parallel to that of normal plasma cell differentiation. Development of a gene expression- or developmental stage-based classification system for multiple myeloma would lead to rational design of more accurate and sensitive diagnostics, prognostics and tumor-specific therapies for multiple myeloma.

The invention provides generally a method of monitoring, diagnosing, prognosing and treating glioma. Specifically, the invention provides for three (3) prognostic subclasses of glioma, which are differentially associated with activation of the akt and notch signaling pathways. Tumor displaying neural or proneural PN lineage markers (including notch pathway elements) show longer median patient survival, while the two remaining tumor markers Prolif and Mes are associated with shortened survival. Tumors classified in this manner may also be treated with the appropriate PN- Prolif- or Mes-therapeutic corresponding to the subclassification in combination with anti-mitotic agents, anti-angiogenic agents, Akt antagonists, and neural differentiation agents. Alternatively, the invention also provides for method of prognosing and diagnosing glioma with a two-gene model based on the expression levels of PTEN and DLL3.

The invention discloses a method for detecting a variable spliceosome in a third generation full-length transcriptome. The method comprises the following steps: merging original annular test sequences with joints removed to form a monomolecular transcript sequence, and screening a third generation full-length transcript sequence; comparing the third generation full-length transcript sequence with a reference genome sequence, and screening a third generation full-length transcript sequence having coverage and similarity with the reference genome sequence larger than preset thresholds; carrying out splicing false positive filtration and DNA contamination filtration on the screened third generation full-length transcript sequence; and carrying out gene annotation and variable spliceosome annotation on the filtered third generation full-length transcript sequence. An overlong read length of a third generation sequencing technology mentioned in the method disclosed by the invention is large enough to cover most RNA, the third generation full-length transcript sequence can be obtained by SMRT sequencing transcriptomes without being assembled, and a splicing structure of a gene can be effectively obtained by third generation transcriptome sequencing, and more perfect gene model annotation can be constructed.

The invention discloses a detection method of a folate metabolism related gene, which includes steps of extracting DNA from oral mucosa cell of a detector; amplifying MTHFR gene C677T by SEQ NO 1 and SEQ NO 2; amplifying MTHFR gene A1298C by SEQ NO 3 and SEQ NO 4; amplifying MTHFR gene A66G by SEQ NO 5 and SEQ NO 6; extracting DNA from oral mucosa cell as a template to perform PCR reaction; performing sepharose gel electrophoresis of 1% of ordinary PCR amplified product on three pairs of primers; recycling a strip of a kit recycling item from the 1% of agarose gel electrophoretic band by sepharose gel; performing sequence testing reaction; purifying the sequence testing reaction product and denaturing; testing sequence by an upper 3730 sequence tester; analyzing three SNP gene models of the sequence testing result by Chromas software. The method has the advantages of high detection accuracy, and convenience of use.

The invention provides a building method of a Drosophila melanogaster model for screening and researching mitochondria disease virulence gene, and an application of the same. In the method, first fluorescent protein is represented by a mitochondria in a wing nerve cell in a Drosophila melanogaster model; second fluorescent protein is represented by in a wing nerve cell film in the Drosophila melanogaster model; the mitochondria is labeled via the first fluorescent protein positioned by the mitochondria; the nerve cell is labeled by the second fluorescent protein positioned by the nerve cell film; and research to mitochondria functions in a nervous system can be achieved in vivo. The Drosophila melanogaster transgene model built by the method can simply and conveniently screen and research mitochondria disease virulence genes; and demands for high flux, strong economic property and short time during mitochondria disease virulence gene screening can be met.

The present invention designs a method for studying the interaction between microRNA and protein, extracts the concept of an "indirect" target gene model, and conducts interaction research based on existing literature reports. The basic process is: Step 1, select microRNA For highly expressed cells, screen for differential proteins; step 2, prediction of microRNA target genes; step 3, introduce literature mining technology for differential protein and microRNA target genes, and build interaction network; step 4, integrate analysis results, and establish microRNA Regulatory pathways with proteins; step 5, introduce literature mining, search for literature reports that have been verified by experiments, and verify the above regulatory pathways.

In some aspects, the present invention provides chimeric transferrin receptor (TfR) polynucleotides and polypeptides. In other aspects, this invention provides chimeric TfR transgenic animal models and methods of using the animal models to identify therapeutics that can cross the blood-brain barrier.

The invention relates to a method for constructing a transcription expression gene model of an ultra-conserved region of a uremic peripheral blood mononuclear cell, and an application of the model. The construction method comprises the following steps: arranging a uremia group and a normal control group, wherein each of the above groups comprises a plurality of whole blood specimens separate from different human bodies, and respectively separating to obtain the uremic peripheral blood mononuclear cell; determining the ribonucleic acid content, the mass and the integrity of the specimens; analyzing the transcripton expression level of the human body ultra-conserved region by adopting an ultra-conserved region transcripton chip, and detecting a gene specificity probe marked ultra-conserved region gene; carrying out ribonucleic acid marking and chip hybridization; analyzing the obtained chip scanning result; filtering a latent ultra-conserved region transcripton and a ribonucleic acid transcripton of the ultra-conserved region overlapping with the ultra-conserved region transcripton for dientifyign differential expression; comparing the multiple change among the specimen in each of the uremia group and the normal control group, and screening expression difference ribonucleic acid; and selecting ribonucleic acid with the expression difference exceeding a preset difference threshold to construct the gene model.

The invention discloses endometrioid adenocarcinoma prognosis-related gene and protein as well as an application thereof. The invention provides a kit a to assist grouping of patients population with endometrioid adenocarcinoma, comprising a substance for detecting mRNA level expression of 21 genes: PRC1, NUSAP1, MCM6, PIWIL2, TYMS, CCNB2, ESM1, BUB1, BARD1, MCM7, CDK6, PCNA, NDC80, CCNE2, RFC4, CCNE1, SERPINA1, FOS, DUSP1, CCL20, and NR4A1. The experiment found a gene model and a protein marker capable of performing prognostic prediction of disease-free survival time of endometrioid adenocarcinoma. The model has important clinical meaning for reflecting biological characteristics of endometrioid adenocarcinoma and prognostic prediction.

The present invention designs a method for using literature mining technology to study the relationship between virus and human protein expression regulation, including the following main steps: step 1, predicting the direct target gene from microRNA; step 2, predicting the direct target protein from the above target gene; Step 3, use literature mining technology to construct a protein-protein interaction database; Step 4, use the constructed protein interaction database to screen out the indirect target protein and indirect target gene of microRNA from the direct target protein; Step 5, through the experiment Validation of indirect target genes of microRNAs. The feature of this method is that an "indirect" target gene model is proposed, and the literature mining technology is introduced to screen out the real microRNA target genes that are difficult to detect by conventional methods.

The invention relates to a method for constructing an expression system of exogenous genes in a campylobacter jejuni. Under the condition of anaerobic environment and temperature controlled at 37 DEG C, the method comprises the steps of preparing promoters, constructing the shuttle plasmids, and establishing a bioluminescent transgene model of the campylobacter jejuni. By using electrotransformation to introduce the campylobacter jejuni ATCC33291 and ATCC35921 which are expressed under the selection pressure of kanamycin antibiotics, the method can observe bioluminescence without adding any substrate, visually expresses bioinformation, and has a wide research prospect.

The invention relates to a pathogenic gene model of mental retardation and a building method and application of the pathogenic gene model. The pathogenic gene model has the advantages that the pathogenic gene related to a corresponding patient with the mental retardation is found by analyzing the peripheral blood whole genome DNA of the patient with the mental retardation, the family members of the patient and normal people without the mental retardation, the pathogenesis of the mental retardation can be learned about favorably, and prenatal diagnosis and prevention can be achieved.

The invention provides a method for determining the influence of genetic variations on function based on a genomic environment. According to the method, each gene serves as a unit, and the common influence of all variations on the gene is annotated. The method includes the following steps: 1, all the variations are mapped to all genes of a given genetic model according to the coordinate positions of the variations; 2, according to all the variations on all the genes, the individualized sequence of each gene is reconstructed; 3, all the individualized sequences are analyzed, and the influences of the variations on the genes are obtained. The method fully considers the genomic environment where the variations are located, a large quantity of annotation errors are avoided, and the accuracy of the annotation variation effect is remarkably improved.

In some aspects, the present invention provides chimeric transferrin receptor (TfR) polynucleotides and polypeptides. In other aspects, this invention provides chimeric TfR transgenic animal models and methods of using the animal models to identify therapeutics that can cross the blood-brain barrier.

The invention relates to a pancreatic cancer prognosis risk prediction method and device established based on metabolic genes, and the method comprises the following steps: obtaining GJB5 gene expression level data, MET gene expression level data, TMEM139 gene expression level data and AFF3 gene expression level data, and calculating a prognosis risk score of a pancreatic cancer patient. Compared with the prior art, the four-gene model provided by the invention has relatively strong robustness, can exert stable prediction efficiency in data sets of different platforms, and has the advantages of excellent efficiency, small number of detected genes and the like.

The invention discloses a gene model for judging prognosis of hepatocellular carcinoma as well as a construction method and application of the gene model. The method comprises the following steps: comparing the data of a hepatocellular carcinoma patient sample with transcriptome data of a normal patient sample to obtain a gene with differential expression, integrating the gene with an extracellular matrix gene set, and shrinking through an LASSO-COX regression model to obtain a model with 18 genes. The model can be used for evaluating the prognosis of hepatocellular carcinoma patients and distinguishing and selecting hepatocellular carcinoma patients with poor prognosis, so that clinicians are guided to provide a more positive treatment scheme, and meanwhile, the hepatocellular carcinoma patients with low risk can be prevented from being over-treated. The gene model is beneficial to construction of a tissue chip based on extracellular matrix genes, and can be used for rapid prognosis evaluation of a hepatocellular carcinoma postoperative patient so as to realize clinical transformation.