Cll-specific Differentially Methylated Genes
Cll-specific Differentially Methylated Genes - Related Videos
13:21
Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
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Cited by 2 •
2017
This work describes an optimized methyl-CpG-binding domain (MBD) sequencing protocol and a computational pipeline to identify differentially methylated CpG-rich regions in chronic lymphocytic leukemia (CLL) patients.
11:19
Correlating Gene-specific DNA Methylation Changes with Expression and Transcriptional Activity of Astrocytic KCNJ10 (Kir4.1)
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Cited by 9 •
2015
DNA methylation is capable of maintaining stable levels of gene expression as well as allowing for dynamic changes in gene expression in response to a variety of stimuli. We detail techniques that allow the study of gene-specific changes in DNA methylation and the effect of these changes on gene expression.
09:23
Determination of DNA Methylation of Imprinted Genes in Arabidopsis Endosperm
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Cited by 4 •
2011
Imprinting is a phenomenon in plant and mammal reproduction. DNA methylation plays an important role in mechanisms of imprinting. Isolating endosperm and determining methylation status of imprinted genes in Arabidopsis can be difficult. In this protocol, we describe how to isolate endosperm and determine methylation by bisulfite sequencing.
01:58
Cell Specific Gene Expression
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2020
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
13:11
Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
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Cited by 6 •
2012
A streamlined workflow to study DNA methylation and gene expression changes upon early-life stress is shown. Starting from maternal separation of newborn mice and isolation of discrete brain tissues, we represent a protocol to simultaneously isolate DNA and RNA from brain tissue punches for subsequent bisulfite sequencing and RT-PCR analysis.
FAQs
Methyl groups added at CpG sites can alter chromatin accessibility, changing how readily regulatory machinery reaches nearby DNA. When accessibility shifts, transcription of the associated gene may also change. In CLL, this mechanism can connect disease-associated methylation patterns with altered expression of genes involved in B-cell survival, proliferation, or differentiation, helping explain how epigenetic changes affect leukemia biology.
A suitable reference provides the comparison needed to separate CLL-associated methylation differences from patterns normally present in nonleukemic cells. Without that context, researchers may misinterpret ordinary cellular variation as disease-related. Comparing CLL cells with appropriate counterparts therefore strengthens the identification of molecular features that are more specifically associated with the leukemia.
Disease-associated methylation changes may reshape regulatory programs controlling B-cell survival, proliferation, and differentiation. The important consequence is not simply that individual genes have altered methylation, but that coordinated changes can influence pathways supporting the leukemic cell state. Studying these patterns can therefore provide a genetics-based view of how epigenetic regulation contributes to CLL development and behavior.
Comparing methylation profiles across CLL samples can show that patients do not share identical epigenetic patterns. Groups of samples with related profiles may represent epigenetic subtypes, providing molecular distinctions beyond the overall leukemia diagnosis. These subtype patterns can help researchers investigate biological diversity within CLL and assess whether particular profiles relate to disease stratification or other clinically relevant features.
The analysis begins by profiling DNA methylation in CLL cells and appropriate nonleukemic or reference cells. Researchers then compare the resulting patterns to identify genes or genomic regions with disease-associated differences. Interpreting those candidates alongside their potential effects on nearby gene regulation helps connect molecular measurements with CLL biology and supports evaluation of their value as disease markers.
Candidate genes can be examined for how consistently their methylation patterns distinguish CLL cells from appropriate reference cells and whether they separate molecularly distinct CLL groups. Researchers may also assess whether the patterns associate with disease stratification or treatment response. These comparisons help determine whether a finding is a useful biomarker candidate rather than merely an observed epigenetic difference.
They provide molecular evidence that changes in epigenetic regulation accompany CLL and may influence gene activity without requiring a change in DNA sequence. In genetics research, these genes support investigation of disease mechanisms, molecular classification, and potential diagnostic or response-related markers. Their study also links DNA-level regulation with the functional behavior of malignant B cells.