72 results about "Methylation analysis" patented technology

Aspects of the present invention relate to compositions and methods of identifying at least one biological sample in the field of methylation analysis. In particular aspects at least one biological sample is provided, at least one identifier is applied for each sample, the applied identifier(s) are detected or quantified, and the methylation analysis is performed. Additional aspects provide a methods for testing an experimental procedure. Additional aspects provide kits suitable for realizing the aspects of the invention.

The present invention has objects to provide a glucan useful as water-soluble dietary fiber, its preparation and uses. The present invention solves the above objects by providing a branched α-glucan, which is constructed by glucose molecules and characterized by methylation analysis as follows:

• • (1) Ratio of 2,3,6-trimethyl-1,4,5-triacetyl-glucitol to 2,3,4-trimethyl-1,5,6-triacetyl-glucitol is in the range of 1:0.6 to 1:4;
  • (2) Total content of 2,3,6-trimethyl-1,4,5-triacetyl-glucitol and 2,3,4-trimethyl-1,5,6-triacetyl-glucitol is 60% or higher in the partially methylated glucitol acetates;
  • (3) Content of 2,4,6-trimethyl-1,3,5-triacetyl-glucitol is 0.5% or higher but less than 10% in the partially methylated glucitol acetates; and
  • (4) Content of 2,4-dimethyl-1,3,5,6-tetraacetyl-glucitol is 0.5% or higher in the partially methylated glucitol acetates; a novel α-glucosyltransferase which forms the branched α-glucan, processes for producing them, and their uses.

Methods for determining the methylation status of a plurality of cytosines are disclosed. In some aspects genomic DNA target sequences containing CpGs are targeted for analysis by multiplex amplification using target specific probes that can be specifically degraded prior to amplification. The targets may be modified with bisulfite prior to amplification. In another aspect targets are cut with methylation sensitive or insensitive restriction enzymes and marked with a tag using the target specific probes. The presence or absence of methylation may be determined using methylation sensitive restriction enzyme or bisulfite treatment. Detection in many embodiments employs hybridization to tag arrays, genotyping arrays or resequencing arrays.

The invention relates to a method of preparing and using a library of template polynucleotides suitable for use as templates in solid-phase nucleic acid amplification and sequencing reactions to determine the methylation status of the cytosine bases in the library. In particular, the invention relates to a method of preparing and analysing a library of template polynucleotides suitable for methylation analysis.

The invention provides methods of identifying a plurality of reactive recognition sites for a restriction endonuclease in genomic DNA. In particular embodiments, the methods can be used to identify methylation state of a plurality of CpG target sites in genomic DNA. The method can include steps of treating genomic DNA with a restriction endonuclease, thereby producing genomic DNA fragments; ligating the fragments, thereby forming a concatenated DNA; and identifying sequence portions of the concatenated DNA that are re-ordered compared to the genomic DNA.

The present invention relates to methods and kits for preserving genomic DNA sequence complexity within chemically and/or enzymatically converted DNA by an enzyme or series of enzymes that adds a methyl group to a cytosine outside of CpG dinucleotide sequences of genomic DNA. Further, the present invention relates to methylation analysis of the genomic DNA.

The present invention relates to a method for methylation analysis. It comprises the providing of a double stranded nucleic acid; its conversion, whereby unmethylated bases become distinguishable in their base-pairing behavior from methylated bases, and the analysis of both of the converted nucleic acid strands.

Disclosed are compositions and a method for detection of methylation based on quantitative arrays.

The invention relates to a method for parsing the blastocyst ectoderm cell DNA methylation status by means of a phenogenetics analysis technology by taking 'test tube baby' blastocyst ectoderm cells as raw materials and adopting a double-enzyme digestion single-cell reduced-representation bifulfite sequencing technology and conducting preimplantation genetic screening on the chromosome state. Thedevelopment potential of an embryo is comprehensively evaluated from various angles, a new reference is provided for selecting the 'right' embryo in assisted reproduction, and strong support is provided for increasing the success rate of the 'test-tube baby' cycle.

Methods and compositions for the prognosis and classification of cancer, especially brain tumor, are provided. For example, in certain aspects methods for cancer prognosis using methylation analysis of selected biomarkers are described.

The invention relates to a gene methylation analysis method and product and application and provides a DNA methylation analysis method. The DNA methylation analysis method comprises the steps that 1)a biologic sample with DNA is in contact with a carrier with a nucleic acid adsorption capacity and a lysis solution with a nucleic acid adsorption capacity at the same time, and the DNA is gathered on the carrier; 2) the carrier, adsorbing the DNA, obtained in the first step is in direct contact with a conversion reagent, and accordingly one or more non-methylated cytosine basic groups of the DNAgathered on the carrier are converted into cytosine or other basic groups, different from cytosine, detectable in hybridization; 3) a combination solution is used for treating a mixed solution obtained in the second step, so that the converted DNA is gathered on the carrier again. The invention further provides a corresponding gene methylation detection method, a kit and application.

The invention discloses a method for identifying an imprinted gene Rasgrf1 of a domestic pig. The method comprises the following steps: (1), finding out an exon sequence SNP by utilizing a PCR-SSCP-PAGE method; (2), extracting total RNAs, and preparing a cDNA; (3), identifying an imprinting state by utilizing an RT-PCR-RFLP method; (4), detecting target gene protein level: manufacturing paraffin tissue slices and performing immunofluorescence observation; and (5), performing a hydrosulphite-modified sequencing methylation analysis method: determining a Rasgrf1 gene kernel promoter region of the pig and a distribution situation of CTCF combined area GpG islands in the segment, performing sulfite treatment on a sample, designing a specific primer to perform PCR amplification on the specific primer, and then sequencing to perform the methylation analysis. According to the method for identifying the imprinted gene Rasgrf1 of the domestic pig, the preliminary discussion to a Rasgrf1 gene imprinting mechanism of the pig is performed, and evidences are provided for the development and the utilization of excellent performances of Wannan black pigs.

In some embodiments, control nucleic acid constructs useful as spiking reagents are provided which comprise a nucleic acid vector having an insert comprising a control nucleic acid molecule. In some embodiments, the insert contains at least one methyltransferase recognition site, such as a CpG dinucleotide. In some embodiments, the insert has a sequence complementary to a negative control probe of a microarray. Methods and kits for using the control nucleic acid constructs as spiking reagents in methylation analysis are disclosed.

The invention discloses a DNA methylation marker for predicting the risk of primary breast cancer, and a screening method and application of the DNA methylation marker. The method comprises the following steps: (1) performing methylation analysis on sample data to obtain methylation sites related to prediction of primary breast cancer occurrence risks; (2) obtaining methylation Beta values for themethylation sites; (3) constructing a primary breast cancer occurrence risk prediction model based on the methylation Beta values of the methylation sites, and verifying the feasibility of the modelby calculating a ratio; (4) constructing a primary breast cancer occurrence risk prediction model based on the methylation sites by adopting a machine learning method, calculating a ratio ratio, AUC,a recall rate, an accuracy rate and an F1 value, and performing mutual verification with the prediction model in the step (3); and (5) obtaining the methylation sites corresponding to the methylationprobe in the prediction model as the DNA methylation marker. The DNA methylation marker can improve the detection rate of primary breast cancer, and is suitable for large-scale popularization and application.

The invention discloses a plasma sample cancer early screening method based on ensemble learning, and belongs to the field of cancer early screening. The cancer early screening method comprises the following steps: 1, taking data obtained by performing characteristic value extraction on ctDNA mutation and methylation analysis data in plasma as a training set and a verification set, and then respectively importing the training set into a gradient boosting tree model and a classification model of a support vector machine; 2, fusing the gradient boosting tree model trained in the step 1 and the classification model of the support vector machine trained in the step 1 to obtain an integrated classification model; 3, importing the verification set in the step 1 into the integrated classification model in the step 3, and obtaining a classification result through a voting mechanism, namely, a cancer early screening result. The performance of the model is optimized under different training conditions, the adaptability to sample size, sample feature distribution and the like during model training is enhanced, the stability of the model is effectively improved, the reliability in practical application is ensured, and stable prediction precision is generated.