57 results about "Differential Methylation" patented technology

The invention discloses a sperm genome methylation detection method for safety evaluation of biological breeding crops by using primates and application, and relates to the technical field of safety evaluation of crops, the sperm genome methylation detection method comprises the following steps: dividing non-human primates into three groups, collecting sperms after long-term feeding, and extracting DNA (Deoxyribose Nucleic Acid); carrying out whole genome sequencing and quality control after bisulfite treatment; the epigenetic safety of crops is comprehensively evaluated by analyzing the methylation level of a whole genome and a functional region and functional enrichment of a differential methylation region and related genes thereof; according to the sperm genome methylation detection method for evaluating the safety of the biologically bred crops by utilizing the primates and the application, by utilizing a high-resolution WGBS technology, subtle epigenetic changes which are difficult to find by traditional toxicology can be detected, and the sperm genome methylation detection method has important significance in cross-generation reproduction effect evaluation, and has a wide application prospect. A food safety evaluation system can be perfected, and a more scientific and reliable safety interpretation basis can be established.

The invention relates to the technical field of methylation detection site detection, and particularly provides an early gastric cancer lymph node metastasis risk prediction method, system, application and medium, and the method comprises the following steps: obtaining a gastric cancer public data set containing a DNA methylation chip data set and an RNA sequencing data set, and carrying out sample screening, quality control and grouping processing to obtain eight quality control grouping samples; carrying out methylation and RNA difference analysis on the quality control grouped samples to obtain a related gene set of differential methylation sites and differential methylation regions and an RNA differential expression gene set; a gene set of differential methylation sites and an RNA differential expression gene set are integrated and screened to obtain eight target genes. The system comprises a sample acquisition module, a gene analysis module and a gene screening module. Target genes are analyzed and screened on the basis of database biological information, and methylation detection sites for histopathological specimens are screened in combination with lymph node metastasis positive and negative early gastric cancer histological sample verification.

The present application relates to a kind of sgRNA targeting Plagl1 gene DMR, epigenetic editing system and its application.Specifically, the present application provides sgRNA targeting Plagl1 gene differential methylation region, which forms epigenetic editing system with dCas9-Tet1-CD fusion protein.The system is loaded in injectable type light-cured silk fibroin hydrogel, the expression of Plagl1 gene in periosteum stem / progenitor cells is accurately activated by targeted demethylation modification, thereby promoting osteogenic differentiation.The present application combines epigenetic regulation with biomaterial delivery, and provides a safe, efficient new strategy for jaw bone defect regeneration and repair.

The invention provides target sections S6-1, S6-2 and S6-3 for identifying multiple cancer species and application of the target sections S6-1, S6-2 and S6-3. A group of unprecedented gene methylation sites are successfully identified through an innovative screening strategy and large-scale cross-cancer omics data analysis. The invention also comprises a detection reagent (such as a primer) and a kit for detecting the target segment of the genome. The methylation degrees of the target segment between a plurality of cancer tissues and para-carcinoma tissues have significant differences, so that the subject can be judged to belong to tumor high-risk groups. The cancer tissue and para-carcinoma tissue differential methylation state presented by the target segment can be widely applied to various different types of cancers.

Low background regions (LBRs) refer to genomic regions comprising one or more CpG sites that are differentially methylated in cancer and non-cancer samples. Disclose methods involve identifying LBRs comprising one or more CpG sites whose methylation statuses sufficiently distinguish between samples that contain a presence of a cancer signature and samples that do not contain a presence of a cancer signature. LBRs enable improved detection of presence or absence of cancer signatures while using smaller samples and fewer consumable reagents.

The present invention belongs to the field of computer technology and provides a method and system for predicting DNA methylation level profiles in conjunction with pathological phenotype characteristics. The training method includes obtaining a characteristic spectrum of cell nuclei in the tumor region of the digital pathology slide data based on digital pathology slide data; obtaining a methylation level matrix of all CpG sites based on the patient's original DNA methylation sequencing data; determining the clinical diagnostic stage of cancer tissue samples, normal tissue samples, and cancer patients based on the methylation level matrix of all CpG sites and the patient's clinical information, performing differential methylation CpG site analysis, and obtaining a tumor differential CpG site methylation level spectrum and a tumor stage differential CpG site methylation level spectrum; and training a generative model using the characteristic spectrum of cell nuclei in the tumor region of the digital pathology slide data as input and the differential CpG site methylation level spectrum of the tumor and the differential CpG site methylation level spectrum of the tumor as output.

It has been discovered that differential methylation in DNA can be used to distinguish between malignant and non-malignant skin lesions. Seven genes, 3 that are hypermethylated in melanoma, 1 that is hypermethylated in melanocytes and remains methylated in melanoma, and 3 that are hypermethylated in all tissues are provided as biomarkers. The panel demonstrates a 93% sensitivity, 97% specificity and an AUC of 95% in distinguishing between melanoma and benign lesions. Thus provided herein are melanoma biomarkers and methods of detecting them and using them to diagnose and guide treatment of subjects with the same, and monitor melanoma tumor dynamics during and after treatment.

The invention discloses a biological age assessment method and system based on full life cycle DNA methylation and application, and belongs to the technical field of bioinformatics. The method comprises the following steps: firstly, carrying out quality control and standardization treatment on obtained original DNA methylation data; then, screening differential methylation sites significantly related to calendar age as features; then, by taking calendar age as a target variable, constructing a regression model by adopting a LightGBM gradient lifting framework to obtain a methylated clock model; then, predicting the DNA methylation age of the individual by using the model, and calculating an epigenetic age acceleration value based on the deviation between the DNA methylation age and the calendar age; and finally, carrying out correlation analysis on the age acceleration value and health or physiological indexes of different life stages, so as to evaluate the biological aging state of the individual and predict related health risks. The method covers the whole life cycle, is suitable for Chinese population, and can provide an effective tool for clinical disease risk prediction, health management and anti-aging intervention effect evaluation.

The present disclosure includes a method comprising: (a) obtaining free DNA (cfDNA) from a sample from a subject; (b) selectively enriching a subset of the cfDNA or derivatives thereof from (a) having one or more target regions to obtain an enriched DNA, wherein the target regions are differentially methylated in cancer; (c) sequencing the enriched DNA from (b) to obtain a sequence read; and (d) dividing a plurality of said sequence reads into two or more groups based on the methylation status thereof, and determining the fragment length distribution of said sequence reads in at least one of said groups.

The present application relates to the technical field of medical detection, and particularly relates to a marker combination, a primer probe combination, a kit and application for detecting multiple subtypes of ovarian cancer and borderline ovarian tumors. The marker combination comprises at least 3 of the following differential methylation regions: a differential methylation region of IFFO1, a differential methylation region of TFAP2E-AS1, a differential methylation region of WNT6, and a differential methylation region of AC104801.1. The present application can comprehensively cover the detection of multiple subtypes of ovarian cancer and borderline ovarian tumors, is suitable for liquid biopsy, and has high sensitivity and high specificity.

The invention discloses a DNA methylation regulatory gene identification method related to formation of cold resistance of Brassica campestris L. and application of the DNA methylation regulatory gene identification method. The method belongs to the technical field of winter rape cold resistance epigenetic regulation mechanism analysis. According to the invention, a methylation sensitive amplification polymorphism technology is utilized, four Chinese cabbage type winter rape materials with large cold resistance difference after the same variety is domesticated in different breeding environments are selected as research objects, the change rule of DNA methylation after treatment at 4 DEG C for 24 hours and recovery growth for 2 days is analyzed, and finally differential methylation gene expression is verified by utilizing a qPCR technology. The invention provides a reference method for DNA methylation research of plants under adversity stress, and compared with other epimics research such as DNA methylation, the method is simple and convenient to operate and low in cost, does not need high-throughput sequencing, and only needs one-generation sequencing. The candidate gene identified by the invention provides a genetic basis for explaining a cold resistance evolution molecular mechanism of Brassica campestris L. and guiding cold resistance improvement of northern winter rapes.

The application belongs to the field of aquatic molecular breeding and epigenetic marker development, and particularly relates to a group of DNA methylation markers related to loss of Chinese mitten crab in summer extreme high temperature and application thereof in breeding. The methylation markers include 8 differentially methylated cytosine sites located on the reference genome ASM2467909v1, adjacent to LOC126983793 (ADCY9), LOC126997354 (UNC79), LOC126998428 (UBN1), LOC126997943 (IFT52), LOC126991093 (ACO2), LOC126986070, LOC127001126 and LOC126997895 respectively. Among them, the high temperature damage group shows high methylation at part of the sites, low methylation at part of the sites, and abnormal expression of the corresponding adjacent genes. The above markers can be used for molecular detection and assisted selection of heat tolerance, survival rate maintenance ability, large-size crab output stability and high temperature damage risk of Chinese mitten crab.

For various purposes, a nucleosome signal pattern using fragmentation at a location around a target site is provided. For example, a nucleosome signal pattern may be used to determine methylation levels of a target site (e.g., a CpG site). The signal may be associated with a nucleosome pattern of a cfDNA molecule within a genomic region that is differentially methylated in a target tissue type by having different methylation levels (or levels, e.g., as a pattern) relative to one or more other tissue types (e.g., blood cells). The nucleosome signal pattern can be compared to one or more reference patterns with known methylation levels. Another exemplary method may determine a lesion level in a subject. Another example may determine a proportional concentration of DNA for a particular tissue type.

The invention discloses a methylation marker identification method for free DNA (deoxyribonucleic acid), which comprises the following steps of: identifying three types of differential methylation regions of abnormal tissues relative to normal control tissues on the basis of the fragment methylation level of whole genome methylation sequencing data; based on the abnormal tissue M-DMR set and the normal control tissue-specific low-methylation region set, identifying a region set in which the tissue-specific low-methylation region is not changed in the abnormality generation process; on the basis of the abnormal tissue U-DMR set and other normal tissue specific low methylation region sets, identifying that a non-tissue specific high methylation region is converted into a region set similar to other normal tissue specific low methylation regions in the abnormality generation process; a set of aberrant DMRs, NT-DMRs, that fall within a non-tissue-specific region on the genome are identified. The novel and accurate methylation mark recognition method is provided, the methylation set area recognized through the method is highly related to the abnormal tissue, and tools and data support can be provided for recognition of the abnormal tissue.

The application discloses a methylation biomarker for diagnosing lung cancer and application thereof, and belongs to the technical field of biomedical detection. The methylation biomarker is composed of 16 differential methylation regions (DMRs), and specific differential methylation regions are shown in Table 2. The application also provides products and devices for diagnosing lung cancer based on the 16 differential methylation regions, and the lung cancer diagnosis has the advantages of high sensitivity and strong specificity, and has important application value for clinical lung cancer diagnosis.

The present invention belongs to the field of bio-pharmaceuticals. Disclosed are a differentially methylated region of an ADHFE1 gene, a detection primer, a probe, a kit, and use of the differentially methylated region in the detection of colorectal cancer or precancerous lesions of colorectal cancer and in the evaluation of prognostic risks of colorectal cancer patients. The differentially methylated region is chr8:67344198-67345563. The differentially methylated region of the present invention can be used for effectively detecting colorectal cancer or precancerous lesions of colorectal cancer, or for evaluating prognostic risks of colorectal cancer patients.

Methylation arrays and a method of diagnosing or treating a cancer in a subject using differential methylation levels. In one implementation, the method includes the steps of obtaining a cfDNA sample from a subject, probing the cfDNA sample with a plurality of CpG probes, and comparing information from the probed cfDNA sample to a methylation array. The methylation arrays are used to determine a differential methylation level at each of a plurality of limited CpG sites within the cfDNA sample. The plurality of limited CpG sites correspond to the plurality of CpG probes, and two or more of the CpG sites are located on chromosome (2), two or more are located on chromosome (6), and two or more are located on chromosome (16).

The invention discloses a differential methylation region identification method and device for whole genome single cell methylation data. The method comprises the following steps: preprocessing single cell whole genome methylation sequencing data to obtain a methylation signal value matrix; compressing the methylated signal value matrix, dividing the methylated signal value matrix into data blocks, and performing block storage by using an HDF5 format; establishing a regional index for the data structure in the HDF5 format, and establishing a dynamic updating mechanism; extracting the data block index information and loading the data block index information into a memory; the index only loads the currently calculated data block; the quality control efficiency is optimized, and GPU acceleration calculation is carried out; in combination with a dynamic optimization strategy, performing whole genome scanning to obtain a single cell methylation signal; the single cell methylation signal is parsed to identify a differential methylation region. According to the method disclosed by the invention, the processing speed is greatly improved, and the differential methylation region can be identified more efficiently and accurately.

The invention discloses a methylation signal detection method, device and equipment based on free DNA sequencing fragments in plasma and a storage medium, and relates to the technical field of non-invasive disease detection.The method comprises the steps that for each free DNA methylation sequencing fragment, the average methylation value of all CpG loci contained in the free DNA methylation sequencing fragment is calculated and discretized into the preset methylation level; carrying out normalization processing on methylation levels corresponding to methylation sequencing fragments in the preset genome region to obtain methylation state distribution characteristics; and screening out significant differential methylation state distribution characteristics, inputting the significant differential methylation state distribution characteristics into an XGBoost classifier, and outputting to obtain a plasma free DNA methylation characteristic score. According to the method, fragment hierarchical coding is adopted, the continuous methylation value of a single fragment is discretized to a limited level, and the distribution of the continuous methylation value in a genome region is counted, so that weak but specific disease signals are effectively amplified and can be detected from a large number of normal backgrounds.

The present invention relates to the field of in vitro molecular biology diagnostic reagents, and specifically discloses the application and detection reagent of a prostate cancer-specific methylation marker. The present invention designs primers and probes based on the differentially methylated target regions of the prostate cancer-specific methylation marker: partial regions or the full length of the positive strands of chr10:111767101-111767300, chr11:54965801-54966100, and chr16:88717311-88717610. This methylation marker combination can effectively distinguish prostate cancer from benign prostatic hyperplasia or other cancers of the urinary tract system, helps to solve the problem of false positives in prostate cancer screening, and can significantly improve the detection sensitivity of non-touch urine. It provides an important reference for clinicians in the early diagnosis and differential diagnosis of prostate cancer.

The application provides a human genome T5 series fragment for multi-cancer identification and use thereof. A set of human genome differential methylation regions for multi-cancer identification, referred to as T5 series fragments (T5-1, T5-2, T5-3, T5-4, T5-5, T5-6, T5-7, T5-8) is disclosed. On this basis, the application provides a multi-cancer methylation technology which can cover more than 20 high-incidence cancer types, has high sensitivity (≥90%) and high specificity (≤5% false positive rate), and can realize rapid and micro-sample detection.

The present disclosure provides techniques for detecting blood disorders using cell-free DNA in a blood sample, e.g., using plasma or serum. For example, an analysis can target one or more differentially methylated regions specific to a particular blood cell lineage (e.g., erythroblasts). Methylation levels can be quantified from the analysis to determine the amount of methylated or unmethylated DNA fragments in the cell-free mixture of the blood sample. The methylation levels can be compared to one or more cutoff values, e.g., corresponding to a normal range for the particular blood cell lineage, as part of determining a level of a blood disorder.

The application discloses a biological age evaluation method and system based on whole life cycle DNA methylation and application, and belongs to the technical field of bioinformatics. First, the obtained original DNA methylation data is subjected to quality control and standardization processing; then, differential methylation sites significantly related to calendar age are screened as features; next, taking calendar age as a target variable, a regression model is constructed by adopting a LightGBM gradient boosting framework to obtain a methylation clock model; subsequently, the model is used to predict the DNA methylation age of an individual, and an epigenetic age acceleration value is calculated based on the deviation of the DNA methylation age from the calendar age; finally, the age acceleration value is subjected to correlation analysis with health or physiological indexes in different life stages, so as to evaluate the biological aging state of the individual and predict related health risks. The application covers the whole life cycle, is suitable for Chinese population, and can provide an effective tool for clinical disease risk prediction, health management and anti-aging intervention effect evaluation.

Systems and methods for detecting initiating methylation changes in biological samples are disclosed. One method may include: receiving genomic data associated with a sample; generating a feature value and dataset for the sample and a reference sample; comparing the sample dataset to a reference dataset to determine whether a differentially methylated region is present. The systems and methods may compare the datasets associated feature sets for different samples to determine whether change in datasets over feature values meet a threshold for an initiating methylation change. Other aspects are described and claimed.

Provided herein are methods related to analyzing DNA in a sample from a subject, comprising measuring in the sample or a subsample thereof a level of methylation of one or more variant differentially methylated regions (DMRs) independently of one or more corresponding DMRs, wherein the one or more variant DMRs comprise a somatic mutation that the one or more corresponding DMRs do not comprise.

The present application relates to a method for estimating a fetal fraction in free DNA from a maternal sample. Digital amplification methods and kits provide the ability to estimate the fetal fraction of cfDNA in a maternal sample, such as plasma or serum, by analyzing target sites differentially methylated in fetal and maternal free DNA (cfDNA).

The application relates to the technical field of melanoma prognosis, and provides a construction method and a verification method of a melanoma prognosis model based on a lactation gene methylation feature. The DNA methylation data of a cancer genome atlas database is taken as a training set, and the DNA methylation data of a gene expression comprehensive database is taken as a verification set, so that the lactation-related gene methylation feature prognosis marker model of melanoma constructed has good external applicability. A methylation site pair matrix is constructed through the relative methylation order relationship of the methylation sites, so that the batch effect between different data sets is effectively avoided, and excellent robustness and clinical applicability are achieved. The methylation sites corresponding to the lactation-related gene set are taken as anchor points to perform hierarchical clustering and differential methylation site screening, functional sites related to prognosis are screened out, the reliability of the constructed prognosis marker model is improved, and the accuracy of prognosis prediction is improved.

The screening method using the m6A RNA methylation motif as the CAVD marker and the application of the m6A RNA methylation motif comprise the following steps that S1, tissue samples are collected, aortic valve samples of CAVD patients are taken and separated into calcified parts and non-calcified parts according to the valve calcification degree, calcified part tissues serve as a calcified group, non-calcified part tissues serve as a control group, and each group comprises at least five parts; s2, RNA extraction and quality control: separating and purifying RNA from tissue samples of a calcification group and a control group by using a TRIzol method; s3, carrying out m6A library construction and sequencing; s4, sequencing data quality control; s5, sequencing data analysis, including Motif analysis, m6A peak and differential methylation gene analysis, transcriptome and m6A-seq association analysis, and enrichment analysis; the application of the m6A RNA methylation motif as the CAVD marker can be applied to a kit, a chip or a diagnosis platform. The m6A RNA methylation motif obtained by the invention can be used as a diagnostic marker or a potential therapeutic target for valve calcification of a CAVD patient.

Provided are a combination of differentially methylated regions, a kit, and use thereof. The combination of differentially methylated regions comprises the following differentially methylated regions: (1) chr8: 145106171-145107467 and (2) chr8:67344198-67345563. The combination of differentially methylated regions can be used for effective detection of colorectal cancer or precancerous lesions of colorectal cancer, or for evaluating prognostic risks of colorectal cancer patients, exhibiting high sensitivity and specificity.

Provided are a differentially methylated region combination and a use. Provided are 13 differentially methylated regions for diagnosing or assisting in diagnosing cancers. Provided is an accurate, convenient, and economical means for early screening of pancreatic cancer, which can increase the detection rate of pancreatic cancer, especially early pancreatic cancer, in populations at high risk of pancreatic cancer and populations receiving general physical examinations, thereby increasing the survival rate of patients with pancreatic cancer, saving the medical expenditure, and reducing the medical burden.