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Epigenetics 04/04/16
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A single genome gives rise to distinct cell-types
About 210 human cell-types
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An example from Andrew Baccerelli; Ode to Joy
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Definition Epigenetics refers to changes in phenotype (appearance) or gene expression caused by mechanisms other than changes in the underlying DNA sequence. These changes may remain through cell divisions for the remainder of the cell's life and may also last for multiple generations. However, there is no change in the underlying DNA sequence of the organism. Non-genetic factors cause the organism's genes to behave (or "express themselves") differently. wikipedia
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Epigenetic mechanisms
Nucleosome positions Histone modification DNA methylation
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Chromatin DNA is packaged into chromatin.
Nucleosome is the fundamental unit of chromatin. It wraps 146 bp DNA. The chromatin structure is hierarchical. Felsenfeld and Groudine 2003
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Nucleosome and histone modification
First layer chromatin structure looks like “beads-on-a-string”. A nucleosome is made of core histone proteins. The amino acids on the N-terminus of histones can be covalently modified. Felsenfeld and Groudine 2003
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DNA methylation DNA methylation normally occurs at CpG dinucleotide only and can be inherited during cell-division. Alberts et al. Molecular Biology of the Cell
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Aberrant DNA Methylation Pattern in Cancer
Irizarry, Feinberg
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Transcription regulation
ACATGT TF RNA
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ChIP-seq analysis
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Peak Calling Methods MACS (MACS2) – Liu Lab Peakseq – Gerstein Lab
SPP – Park Lab GEM – Gifford Lab
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Epigenetic patterns are dynamic
Human Umbilical Vein Endothelial Cells: HUVEC; GM12878; lymphoblastoid cell.
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Epigenetic patterns are dynamic
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Epigenetic patterns are dynamic
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Epigenetic patterns are dynamic
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Epigenetic patterns are dynamic
Aberrant patterns are found in cancer and many other diseases
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Enhancers regulate gene expression from a distance
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Super-enhancers Whyte et al., Cell 2013
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Target super-enhancer in cancer
James Bradner
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Chromatin state segmentation methods
ChromHMM (Ernst&Kellis); Segway (Hoffman&Noble). Both are based on hidden Markov models (HMM). histone mark intensities chromatin state Data are binned. Assumptions Markov property: Independent obs:
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Promoter is relatively stable; enhancer is more dynamic
Can chromatin state really define cell-identity? Ernst et al., Nature 2011
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(Fine, Tishby 1998) Chromatin Domain DO chromHMM
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diHMM domain-level state nuc-level state histone mark intensities
Each domain-bin corresponds to a block of nuc-bins. nuc-level state histone mark intensities Additional Assumptions Obs is determined only by nuc-level state depends on the domain-level state n Nuc-level transition is domain dependent Domain-level transition can only occur at the end of a block only when i is multiple of block size Marco et al. under review
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Comparison with chromHMM
(Fine, Tishby 1998) Dom Nuc HHMM chromHMM
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Variation of genetic information may predict disease risk
wikipedia What is the mechanism?
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Noncoding GWAS are enriched with enhancer elements
Murrano et al., Science 2012
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Identifying disease-relevant cell-types
Murrano et al., Science 2012
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Source: yewbiotech
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BCL11A is a master regulator for globin switch
Bauer et al. 2012, Blood
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BCL11A erythroid enhancer is required for HbF repression
This modest affect on BCL11A expression and HbF level is just a minimal estimate of the impact of the underlying element. Deletion of the enhancer results in profound loss of BCL11A expression. Hardison and Blobel. Science 2013; Bauer et al. Science 2013
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CRISPR/cas9 genome editing
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Identifying critical sequences within BCL11A erythroid enhancer
Canver et al. Nature 2015
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Identifying critical sequences within BCL11A erythroid enhancer
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Identifying critical sequences within BCL11A erythroid enhancer
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Species divergence at the BCL11A erythroid enhancer
Human Mouse essential essential dispensable partially dispensable largely dispensable largely dispensable These results show the
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Identifying critical sequences within BCL11A erythroid enhancer
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Summary Epigenetics play an important role in gene regulation in development and diseases. Epigenetic regulation provides mechanistic understanding of disease associated genetic variants. Predicted function of regulatory elements can be experimentally tested by CRISPR/cas9 genome-editing.
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