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85 results about "Differential Methylation" patented technology
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Differentially methylated regions (DMRs) are genomic regions with different DNA methylation status across different biological samples and regarded as possible functional regions involved in gene transcriptional regulation.
Differential Methylation Hybridization (DMH) was used to identify novel methylation markers and methylation profiles for hematopoieetic malignancies, leukemia, lymphomas, etc. (e.g., non-Hodgkin's lymphomas (NHL), small B-cell lymphomas (SBCL), diffuse large B-celllymphoma (DLBCL), follicular lymphoma (FL), mantle celllymphoma (MCL), B-cell chronic lymphocytic leukemia / small lymphocytic lymphoma (B-CLL / SLL), chronic lymphocytic leukemia (CLL), multiple myeloma (MM), acute myelogenous leukemia (AML), acute lymphoblastic leukemia (ALL), etc.). Particular aspects provide novel biomarkers for NHL and subtypes thereof (e.g., MCL, B-CLL / SLL, FL, DLBCL, etc.), AML, ALL and MM, and further provide non-invasive tests (e.g. blood tests) for lymphomas and leukemias. Additional aspects provide markers for diagnosis, prognosis, monitoring responses to therapies, relapse, etc., and further provide targets and methods for therapeutic demethylating treatments. Further aspects provide cancer staging markers, and expression assays and approaches comprising idealized methylation and / or patterns” (IMP and / or IEP) and fusion of gene rankings.
The present invention provides a method for identification of differentially methylated genomic CpG dinucleotide sequences associated with cancer in an individual by obtaining a biological sample comprising genomic DNA from the individual measuring the level or pattern of methylated genomic CpG dinucleotide sequences for two or more of the genomic targets in the sample, and comparing the level of methylated genomic CpG dinucleotide sequences in the sample to a reference level of methylated genomic CpG dinucleotide sequences, wherein a difference in the level or pattern of methylation of the genomic CpG dinucleotide sequences in the sample compared to the reference level identifies differentially methylated genomic CpG dinucleotide sequences associated with cancer. As disclosed herein, the methods of the invention have numerous diagnostic and prognostic applications. The methods of the invention can be combined with a miniaturized array platform that allows for a high level of assaymultiplexing and scalable automation for sample handling and data processing. Also provided by the invention are genomic targets and corresponding nucleic acid probes that are useful in the methods of the invention as they enable detection of differentially methylated genomic CpG dinucleotide sequences associated with cancer, for example, adenocarcenomas and sqamous cell carcinomas of the lung.
The present invention provides methods for cancer detection and diagnosis. The present invention provides a method of selectively amplifying hypomethylated tumor DNA sequences derived from a subject for detection of cancer. This method utilizes differential methylation to allow for the selective amplification of tumor specific sequences from DNA mixtures that contain a high proportion of normal host DNA. The invention also provides methods of using the amplified tumor DNA sequences for evaluation of methylation.
The invention discloses a method and a system for detecting a tissue-specific differentially methylated region (tDMR). The method comprises the following steps: obtaining single-point methylation information on a complete genome by genome-wide sequencing; determining a seed tDMR on the complete genome under a pre-selection condition according to the single-point methylation information on the complete genome; extending the seed tDMR along two sides, and obtaining candidate tDMRs based on an extension terminal condition; and filtering the candidate tDMRs based on a filtering condition to obtain the tDMR result. By means of the method and the system provided by the invention, the methylation state of each site on the complete genome can be defined so as to determine the tDMR within the range of the complete genome, thus greatly improving the detection efficiency and lowering the cost. Subsequent validation shows that the found tDMR has high accuracy rate up to 85%; and validation in a plurality of species (not only limited to mammals) shows that the method has higher accuracy and higher sensitivity compared with other methods such as vardhman Rakyan and the like.
The invention belongs to the technical field of data processing of bioinformatics, and discloses a method for mining the methylation pattern by whole genome data. The method comprises the following steps that: using a SAM (Significance Analysis of Microarrays) method in various data sample sets to independently screen differential methylation sites on a whole genome; taking an intersection from the differential methylation sites of a plurality of sample sets to obtain a common difference site set; calculating a Pearson correlation coefficient between the methylation levels of the differential methylation sites and a corresponding gene expression level, and identifying a methylation regulation and control site; and carrying out AP (Affinity Propagation) clustering on the differential methylation site set to obtain a methylation cluster, independently carrying out pattern analysis on each methylation cluster, and carrying out demonstration through geneannotation and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis. By use of the method, references can be provided by aiming at a demethylationmedicine, different types of diseases have generality on a methylation pattern, and the method has a practical and clinic meaning for researching a relationship between the methylation pattern and the disease from a perspective of the whole genome.
Disclosed is a method for detecting differentially methylated CpG islands associated with an abnormal state of a human body, characterized by detecting very minute amounts of methylated CpG short tandem nucleic acid sequences in highly fragmented DNA samples with genome scale, identifying differentially methylated CpG islands associated with abnormal state of human body and determining the corresponding abnormal state of human body. Sequencing libraries are constructed by using CpG short tandem sequences as primers to perform three steps of PCR reactions on DNAs which are conversed by nodifiers, and detections of very minute amounts of methylated CpG short tandem nucleic acid sequences are implemented with high throughput sequencing technology. A group of genome sequences and methylation patterns of differentially methylated CpG islands which are associated with hepatocellular carcinoma are also disclosed; they may be used for distinguishing between hepatacellular carcinoma and non-cancerous state.
The invention discloses a differential methylation site identification method. According to a thought of classification, identification for differential methylation sites is converted to searching of sites having important contributions to classification by a feature selection approach, and the sites having important contributions to classification are differential methylation sites. Specifically the differential methylation site identification method includes: firstly preprocessing 450K methylationchip data acquired from a public data standardizing the 450K methylationchip data to eliminate within-block errors, eliminating batch effects to eliminate inter-group errors and eliminating the sites small in variances; secondarily, constructing a random forest model to obtain contribution values of every site to classification; finally, determining the site as the differential methylation site if the contribution value of the site is larger than 0. The differential methylation site identification method has the advantages that the obtained differential methylation sites have better class judging performances and can provide more accurate results for cancer diagnosis.
A method of identifying nucleic acid molecules differentially methylated in a disease comprises steps of incubating fragmented DNA, from a diseasecell, with a reagent which specifically binds to methylated DNA to thus concentrate methylated DNA fragments, incubating fragmented DNA, from a diseasecell related to the disease cell utilised in step (a) in which DNA methyltransferase expression and / or activity has been inhibited, with a reagent which specifically binds to methylated DNA to thus concentrate methylated DNA fragments and comparing the methylated DNA fragments obtained in steps (a) and (b) to identify nucleic acid molecules differentially methylated in the disease. A method of detecting a predisposition to, or the incidence of, colorectal cancer in a sample comprises detecting an epigenetic change in at least one gene selected from RASGRF2, SCNN1B, HOXD1, PLK2 and BHLHB9 wherein detection of the epigenetic change is indicative of a predisposition to, or the incidence of, colorectal cancer.
The present invention provides DNA marker sequences that are differentially methylated in samples from normal individuals and individuals with brain cancer. The invention further provides methods of identifying differentially methylated DNA marker sequences and their use the detection and diagnosis of gliomas.
Differentially methylated oral squamous cellcarcinoma (OSCC) biomarkers, identified in-vitro and validated in well-characterized surgical specimens, have shown poor clinical correlation in cohorts with different risk profiles. To overcome this lack of relevance we used the HumanMethylation27 BeadChip, publicly available methylation and expression array data, and Quantitative Methylation Specific PCR to uncover differential methylation in OSCC clinical samples with heterogeneous risk profiles. A two stage-design consisting of Discovery and Prevalence screens was used to identify differential promotermethylation and deregulated pathways in patients diagnosed with OSCC and head and neck squamous cellcarcinoma. This Phase I Biomarker Development Trial identified a panel of differentially methylated genes in normal and OSCC clinical samples from patients with heterogeneous risk profiles. This panel may be useful for early detection and cancer prevention studies.
The present invention provides methods and kits for identifying an increased risk of developing cancer in a subject. The methods include analyzing a first biological sample, such as a blood sample, from the subject for loss of imprinting of the IGF2 gene. According to the methods a loss of imprinting is indicative of an increased risk of developing cancer. The method can include analyzing genomic DNA from the sample for altered methylation of the IGF2 gene. The altered methylation for example includes hypomethylation of a differentially methylated region of IGF2, corresponding to SEQ ID NO:1 or a polymorphism thereof. The method can be performed on a subject having no apparent or suspected hyperproliferative disorder such as cancer.