CS681: Advanced Topics in Computational Biology Week 9 Lecture 1 - - PowerPoint PPT Presentation

cs681 advanced topics in
SMART_READER_LITE
LIVE PREVIEW

CS681: Advanced Topics in Computational Biology Week 9 Lecture 1 - - PowerPoint PPT Presentation

CS681: Advanced Topics in Computational Biology Week 9 Lecture 1 Can Alkan EA224 calkan@cs.bilkent.edu.tr http://www.cs.bilkent.edu.tr/~calkan/teaching/cs681/ EPIGENETICS Definition Epigenetics: study of all meiotically and mitotically


slide-1
SLIDE 1

CS681: Advanced Topics in Computational Biology

Can Alkan EA224 calkan@cs.bilkent.edu.tr

http://www.cs.bilkent.edu.tr/~calkan/teaching/cs681/ Week 9 Lecture 1

slide-2
SLIDE 2

EPIGENETICS

slide-3
SLIDE 3

Definition

 Epigenetics: study of all meiotically and

mitotically heritable changes in gene expression that are not coded in the DNA sequence itself

 DNA methylation  RNA associated silencing  Histone modification

Nature 2004;429:457-73

slide-4
SLIDE 4

Epigenetics Mechanisms

Gene Expression RNA Interference Histone Modifications DNA Methylation

slide-5
SLIDE 5

Importance

 Development of multicellular organism  Environment-organism interaction

For example: Nutrition supplements and environmental toxins

Image: Randy Jirtle

  • Pathogenesis of diseases
slide-6
SLIDE 6

DNA Methylation

http://www.cellscience.com/reviews7/Taylor1.jpg Hypomethylation Hypermethylation

slide-7
SLIDE 7

DNA Methylation

  • At promoter, DNA

methylation suppresses transcription

  • With deamination, DNA

methylation induces C T mutation

DNA methyltransferase

slide-8
SLIDE 8

DNA Methylation

DNA methylation is the addition of methyl group to cytosine generally in CpG dinucleotides

26.7 million CpG sites in the autosomal genome

CpG rich regions known CpG Islands (CGIs) are generally located near to the start of genes and associate with promoters

Previously thought to be the key site of epigenetic regulation of gene expression, and have been the main focus of epigenetic research

Recently (2009) methylation changes in regions outside CGIs known as CGI shores have been shown to be more significantly associated with gene regulation

Shores are defined as the regions 2kb up and downstream of the CGI

Only 7% of CpGs reside within CGIs, the majority of CpG sites reside within repeat regions, many of which are un-assayable by microarray technologies

New technologies such as next generation sequencing combined with techniques such as MeDIP will allow for the 1st time to assay changes in whole genome methylation (methylome)

slide-9
SLIDE 9

Roles of DNA Methylation in Mammals

  • Imprinting
  • Expression of genes in a parent-of-origin manner
  • X chromosome inactivation
  • In females, one of the X chromosomes is inactive
  • Heterochromatin maintenance
  • Developmental controls
  • Tissue specific expression controls
slide-10
SLIDE 10

DNA Methylation and Cancer

Robertson, Nature Reviews Genetics, 2005

slide-11
SLIDE 11

Other Human Diseases

 Imprinting Disorders:

 Beckwith-Wiedemann syndrome (BWS)  Prader-Willi syndrome (PWS)  Transient neonatal diabetes mellitus (TNDM)

 Repeat-instability diseases

 Fragile X syndrome (FRAXA)  Facioscapulohumeral muscular dystrophy

 Defects of the methylation machinery

 Systemic lupus erythemtosus (SLE)  Immunodeficiency, centromeric instability and facial anomalies

(ICF) syndrome

slide-12
SLIDE 12

Technologies for Studying Methylation

 PCR-based locus specific analysis

 Fragmentation of DNA with methylation sensitive

enzymes

 Follow with sequencing: Methyl-seq

 Immunoprecipitation

 MeDIP: Methylated DNA immunoprecipitation

 Enrich methylated regions using specific antibodies  Array: MeDIP-chip; sequencing: MeDIP-Seq

 Bisulfite treatment

 BS-seq

Peter W. Laird, Nature Reviews Genetics, 2010

slide-13
SLIDE 13

Technologies for Studying Methylation

Peter W. Laird, Nature Reviews Genetics, 2010

slide-14
SLIDE 14

MEDIP

Animation by Gareth Wilson

slide-15
SLIDE 15

The MeDIP reaction begins…

… with high molecular-weight, double-stranded DNA. This contains methylated and unmethylated cytosines residues.

slide-16
SLIDE 16

For MeDIP, the DNA is first sonicated…

Unmethylated DNA Methylated DNA

slide-17
SLIDE 17

…then denatured to create single-stranded DNA fragments. … to create short fragments…

slide-18
SLIDE 18

…then denatured to create single-stranded DNA fragments.

slide-19
SLIDE 19

… that binds to the methylated fraction of the genome Antibody directed against 5-methylcytidine is added…

5MeC-mAB

slide-20
SLIDE 20

… that bind to the antibody… … allowing the methylated fraction to be captured with magnets. Magnetic beads are added…

Magnetic Beads

slide-21
SLIDE 21

… allowing the methylated fraction to be captured with magnets.

slide-22
SLIDE 22

The methylated fraction can then be isolated using… … proteinase K…,

slide-23
SLIDE 23

… analyzed at candidate loci using qPCR… Once isolated, methylated DNA can be…

slide-24
SLIDE 24

… hybridised to microarrays for genome-wide testing…

slide-25
SLIDE 25

… or high-throughput sequenced for whole-genome analysis.

slide-26
SLIDE 26

Tools for MeDIP-seq analysis

 BATMAN

 Bayesian Tool for Methylation Analysis  See Down et al. Nat Biotechnol. 2008 Jul;26(7):779-

85 for a description of the algorithm.

 Used in the analysis of the first mammalian

methylome.

slide-27
SLIDE 27

BATMAN

 Bayesian Tool for Methylation Analysis  The algorithm is used to provide a quantitative

estimation of absolute methylation values from Methylated DNA Immunoprecipitation (MeDIP) profiles.

 Takes into account the ‘neighbourhood’ in which each

CpG is found when determining absolute methylation levels.

 Output provides methylation score (0-1)

slide-28
SLIDE 28

BISULFITE SEQUENCING

slide-29
SLIDE 29

Bisulfite Sequencing

slide-30
SLIDE 30

Bisulfite mappers

 After bisulfite treatment, unmethylated

Cytosines turn into Uracils

 PCR amplification: U->T  Sequenced as Thymines

 Mappers should be able to allow C->T

mismatches

 C-C matches give methylated sites

 Mappers

 BSMAP, BSseeker, BRAT, Bismark, GSNAP,

CokusAlignment, PASH, RMAP, SOCS, etc.

slide-31
SLIDE 31

Bisulfite mappers

 Challenges

 Multiple

mapping

 Mapping

assymmetry

Xi et al., BMC Bioinformatics 2009

slide-32
SLIDE 32

BSMAP

Xi et al., BMC Bioinformatics 2009

slide-33
SLIDE 33

Bismark

Krueger et al. Bioinformatics, 2011

slide-34
SLIDE 34

Bismark

Krueger et al. Bioinformatics, 2011