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Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept., Genitourinary Division March 7, 2007

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Page 1: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Analysis of protein-DNA interactions with tiling microarrays

Srinivasan (Vasan) Yegnasubramanian

Sidney Kimmel Comprehensive Cancer Center

Oncology Dept., Genitourinary Division

March 7, 2007

Page 2: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Identical genetic sequence, but very different gene expression and phenotypes…

Normal Human BrainNormal Human Brain

Normal Human LiverNormal Human Liver

Normal Human KidneyNormal Human Kidney Benign Human Prostate

…These differences are due to Epigenetic changes.

Page 3: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Epigenetics is the study of heritable processes that alter gene expression without an accompanying change in gene sequence

These processes are usually mediated by factors, such as proteins/ribonucleo-proteins, that bind genomic DNA

Page 4: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

(3.4x10-10 meters/bp) x (6x109 bp/genome) = ~2 meters/genome

Radius of the nucleus is ~ 10 µM !!!

Klug and Cummings, 1997

Page 5: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

[(6 x 109 bp/genome) / (195 bp/nucleosome)] = ~ 30.8 x 106 nucleosomes/genome

~ 5 % of nuclear volume

Page 6: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

http://www.albany.edu/~achm110/solenoidchriomatin.html

Page 7: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

DNA methylation occurs at CpG dinucleotides in mammalian genomes

5’…ACGT…3’

5’…ACGT…3’5-me

Page 8: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

DNA methylation patterns in normal and cancer cell genomes

Herman and Baylin, NEJM, 2003

Page 9: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

DNA methylation can lead to silencing of gene expression

Robertson and Wolffe, Nat Rev Genet, 2000

HDAC2

MBD2

HDAC1

MBD3

RbAp46RbAp48

Mi-2

MTA268kD

66kD

HDACMeCP2

Sin3A

HDAC2

MBD2

HDAC1

MBD3

RbAp46RbAp48

Mi-2

MTA268kD

66kD

HDACMeCP2

Sin3A

>2 MDalton Complex

Page 10: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Struhl, Cell, 2004

http://www.berkeley.edu/news/features/1999/12/09_3dimage.html

Page 11: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Diameter of DNA Double helix: 20 Angstroms

Diameter of Transcriptional machinery: >1,000 Angstroms

Page 12: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Developing an understanding of epigenetic processes…

DNA Modifications(e.g. Methylation)

Gene TranscriptionalChanges

DNA-ProteinInteractions

Page 13: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Characteristics of Tiling Microarrays

Microarray contains n probes of length L distributed across x base pairs on a genomic region of interest. That is, n probes are tiled across a genomic region of interest

The average resolution or sampling/window size, then, is R = x / n, or

d1 d2 d6d5d4d3 d7

1

1

1

n

dR

n

N

N

Page 14: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Affymetrix Tiling microarrays Human Chromosome 21/22 microarrays

> 35 million bp of non-repetitive sequence on Chrom 21/22 represented with >1 million probe sets on three microarrays (currently on a single array). R ~ 35 bp.

ENCODE arrays representation of 1% of genome corresponding with ENCODE regions at 35 bp

resolution with single microarray. Tiled arrays of 10 human chromosomes

74,180,611 probe pairs interrogating 30% of human genome (i.e. 10 complete chromosomes) at on >90 microarrays. R ~ 5 bp.

Tiled arrays of whole genome interrogation of whole genome (1.7 Gb) on 7 microarrays (~50,000,000 PM

probes only) or 14 microarrays (~50,000,000 PM + MM probe sets). R ~ 35 bp. Promoter Tiling arrays

interrogation of all 5’ upstream regions of known genes on a single microarray

All probes are 25-mers

Page 15: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Strategy

Label and Hybridize SamplesTo Tiling Microarrays

Chromatin Structure(In vivo DNA/Protein

Interactions)

Biostatistical Analysis toIdentify Genomic Regions

of Interest

DNA Methylation(In Vitro DNA/Protein

Interactions)

TranscriptomeAnalysis

Page 16: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Crosslink

YLyse & Sonicate

IP Reverse crosslinks

Total Reverse crosslinks Amplify

Amplify

Label/hybridize

Label/hybridize

ChIP-Chip for “in vivo” DNA protein interactions

Other controls for IP(e.g., no antibody, non-

specific antibody)

Page 17: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Current limitations for ChIP-Chip Process is very inefficient and requires large

amounts of input material Sonication step can be quite variable and

cannot be easily quality controlled with small amounts of starting material

Currently difficult to perform on clinical specimens

Labor-intensive

Page 18: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Genome-wide, high-resolution DNA methylation detection by taking advantage of tiling arrays and DNA-protein interactions in vitro

Page 19: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

HDAC2

MBD2

HDAC1

MBD3

RbAp46RbAp48

Mi-2

MTA268kD

66kD

HDACMeCP2

Sin3A

HDAC2

MBD2

HDAC1

MBD3

RbAp46RbAp48

Mi-2

MTA268kD

66kD

HDACMeCP2

Sin3A

Endogenous methyl-CpG binding domain proteins

MECP2

MBD1

MBD2

(Anti-5mC Ab)

MBD3

MBD4

Page 20: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

6His-MBD2-MBD binds symmetrically methylated oligonucleotides

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

b

EC50 = 222 +/- 67 nM EC50 = 156 +/- 70 nM EC50 = 519 +/- 250 nM

EC50 >> 10 M EC50 >> 10 M

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.222 ± 0.067 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 = 0.156 ± 0.070 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

EC50 = 0.519 ± 0.250 µM

Log [MBD2-MBD] (µM)

c

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

a

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

b

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0

100

120

140

160

An

iso

tro

py

Log [MBD2-MBD] (µM)

EC50 >> 10 µM

b

EC50 = 222 +/- 67 nM EC50 = 156 +/- 70 nM EC50 = 519 +/- 250 nM

EC50 >> 10 M EC50 >> 10 M

Yegnasubramanian et al., Nucleic Acids Res, 2006

Page 21: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Fe

Fragment

Enrich for densely

methylated fragments

Real-time PCR

0.0

0.1

0.2

1.0

WBC M.SssIWBC

Re

lati

ve E

nri

ch

me

nt

MBD2-MBD + – – –Anti-His-Ab + + – –

Protein G Magnetic Beads + + + –

0.0

0.1

0.2

1.0

WBC M.SssIWBC

Re

lati

ve E

nri

ch

me

nt

MBD2-MBD + – – –Anti-His-Ab + + – –

Protein G Magnetic Beads + + + –

MBD2-MBD + – – –Anti-His-Ab + + – –

Protein G Magnetic Beads + + + –

Use of 6His-MBD2-MBD for enrichment of methylated genomic DNA

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII Digestion Only

R2 = 0.962

R2 = 0.976

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssI WBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

MBD2-MBD Capture Only

R2 = 0.981

R2 = 0.538

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

0.01 0.1 1 10 1000.0001

0.001

0.01

0.1

1

10

100WBC M.SssIWBC

Input Genomic DNA (ng)

Ou

tpu

t D

NA

(n

g)

HpaII digestion + MBD2-MBD Capture (COMPARE-MS)

R2 = 0.982

R2 = 0.113

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

R2 = 0.985

COMPARE-MS Assay Performance

Ou

tpu

t D

NA

(n

g)

Input M.SssI treated WBC DNA (ng) in 20 ng of untreated WBC DNA

0.01 0.1 1 10 1000.001

0.01

0.1

1

10

100

Yegnasubramanian et al., Nucleic Acids Res, 2006

Page 22: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Fe

FeFe

Whole-genome DNA methylation assay

Fragment

Enrich methylated fragments

Amplify

Fragment/label/hybridize

Amplify

Fragment/label/hybridize

Total input

Page 23: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

SonicationRestrictionEnzyme

Fragmentation techniques

Page 24: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Middle ground

Pool different restrictionenzyme digests

Page 25: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Dynamics of amplification and fold enrichment…

Fold enrichment dependent on: Amount of each

species after enrichment

Total amount of all enriched species

Enrich

Enrich

Total

Amplify

to 20

Amplify

to 20

Amplify

to 20

Page 26: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

Ongoing and future work

DNA Modifications(e.g. Methylation)

Gene TranscriptionalChanges

DNA-ProteinInteractions

Preprocessing

Preprocessing

Preprocessing

Analysis

Analysis

Analysis

Meta-Analysis

Cancer

Normal

Page 27: Analysis of protein-DNA interactions with tiling microarrays Srinivasan (Vasan) Yegnasubramanian Sidney Kimmel Comprehensive Cancer Center Oncology Dept.,

End of slides