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Comparative Genomic Hybridization (CGH)

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Abnormal quantity of appearance of a genomic region in the genome. ... Array with 85,000 probes representing human genome (Bgl II, Hind III) ... – PowerPoint PPT presentation

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Title: Comparative Genomic Hybridization (CGH)


1
Comparative Genomic Hybridization(CGH)
2
Outline
  • Introduction to gene copy numbers and CGH
    technology
  • DNA copy number alterations in breast cancer
    (Pollack et.al., PNAS (2002))
  • Copy number polymorphism in human genomes (Sebat
    et.al., Science (2004))

3
Alteration in DNA Copy Number amplification and
deletion
  • Abnormal quantity of appearance of a genomic
    region in the genome.
  • Size single gene - whole chromosome
  • Abnormality deletion amplification
  • Some variations among normal individuals
  • Can cause defects in human development
  • Contributors to cancer
  • Can effect function and gene expression

4
Alteration in DNA Copy Number possible mechanism
Molecular Biology of the Cell, Alberts et. al.
(4th eddition, figure 23-33)
Molecular Biology of the Cell, Alberts et. al.
(4th eddition, figure 23-28)
5
Array Based Comparative Genomic Hybridization
  • Goal to detect copy number alterations using a
    gene chip
  • Ideally, the signal intensity is proportional to
    copy number
  • Several genomes can be compared simultaneously

Daniel Pinkel Donna G Albertson (2005) Nature
Genetics, 37s11-17
Daniel Pinkel Donna G Albertson (2005) Nature
Genetics, 37s11-17
6
Technical consideration in array CGH
  • Hybridization signals
  • Affected by base composition, repetitive
    sequences, chosen probes, saturation of the
    array, double-strand association etc.
  • Lower signals obtained for lower complexity
    probes (cDNA and PCR products)
  • Genome characteristics
  • Hybridization of repetitive elements, should be
    blocked
  • Copy number measurements
  • Difficult to detect deletions
  • Low-copy reiterated sequences
  • Copy-number polymorphism
  • Heterogeneous specimens (cells with altered DNA
    mixed with normal cells)

7
Technical consideration in array CGH
  • Specimen preparation
  • Differences in quality of cell lines,
    frozen/fresh/fixed tissue
  • Heterogeneous specimens
  • Extraction of DNA
  • Data analysis
  • Significance of signal ratios

Factors influencing the success of array CGH
Daniel Pinkel Donna G Albertson (2005) Nature
Genetics, 37s11-17
8
Applications of array CGH in oncology
  • Use in clinical trials for CLL drugs (to
    determine relationship between therapeutic
    options and genomic aberrations)
  • Association of DNA copy-number with prognosis in
    a variety of tumors (prostate, breast, gastric,
    lymphoma)
  • Detecting a region and not a gene
  • Not always found in correlation with gene
    expression
  • Wide range of genomic phenotypes
  • Ongoing genomic instability results in
    heterogeneity

9
Microarray analysis reveals a major direct role
of DNA copy number alteration in the
transcriptional program of human breast
tumors(Pollack et. al. (2002) PNAS 9912963-8)
  • Analysis of DNA copy number in breast tumors
  • Array based CGH
  • High resolution (gene-by-gene) mapping of
    boundaries
  • Parallel microarray measurements of mRNA level

Daniel Pinkel Donna G Albertson (2005) Nature
Genetics, 37s11-17
10
Materials
  • Tumors and cell lines
  • 44 breast tumors
  • Infiltrating ductal carcinoma
  • Intermediate-grade
  • gt50 tumor cells
  • 10 breast cancer cell lines
  • DNA labeling and hybridization
  • 6,691 cDNA genes on array (Genomic locations from
    UCSC)
  • Reference DNA was taken from normal female
    leukocyte

11
Estimating significance of altered fluorescence
ratios
  1. 5-nearset neighbors average smoothing
  2. For normal data for each gene i find window size
    k(i) giving highest positive and negative average
    - val0(i).
  3. Find cut points Cup and Clow so that overall
    proportion of false positives is a/2 in each tail
    of distribution.
  4. For tumor data for each gene i find window size
    k(i) giving highest positive and negative average
    - val(i).
  5. Mark as significant all values gt Cup or lt Clow.
  6. FDR rate is na/s (for each sample a was chosen so
    that FDR was closest to 0.01).

12
Performance of analysis
  • Mean moving average ratios of autosomal and
    X-chromosomal cDNA from samples with variation in
    chromosome X number
  • 227 X-chromosomal cDNA
  • Gains and losses identifiable

13
Numerous DNA copy number alterations
  • Changes in each sample and on each chromosome
  • Magnitude lower in tumors
  • Several gains and losses common to most samples
    (consistent with published studies)
  • Number of alterations significantly higher in
    high-grade, estrogen receptor negative and TP53
    mutant tumors.

14
Variation in copy number mapping to chr 17
ERBB2 (HER2) oncogene GRB7 MLN64
15
Parallel microarray measurements of mRNA level
  • Goal
  • Highly amplified genes that are highly expressed
    are strong candidate oncogene
  • Global impact of widespread DNA copy number
    alterations on gene expression in tumor cells
  • mRNA levels were measured for a subset of samples
    and genes
  • 4 cell line, 37 tumors
  • 6,095 genes

16
Parallel microarray measurements of mRNA level
  • 117 high level DNA amplifications (91 different
    genes)
  • 62 (54 genes) found associated with at least
    moderately elevated mRNA
  • 12/54 genes are oncogenes or candidates
  • 42 (36 genes) found associated with highly
    elevated mRNA.

17
Influence of DNA copy-number on mRNA levels
  • Divided genes to five classes representing
  • DNA deletion
  • No change
  • Low level amplification
  • Medium level amplification
  • High level amplification
  • Significant correlation between mRNA level and
    copy number across groups
  • On average a 2 fold change in copy number was
    accompanied by 1.4 and 1.5 fold changes in mRNA
    level

18
Influence of DNA copy-number on mRNA levels
  • Distribution of 6,095 correlations between copy
    number and expression levels
  • Significant right shift
  • Reflects global influence of DNA copy number
    alterations on gene expression

19
Influence of DNA copy-number on mRNA levels
Percent of variance in gene expression (tumors)
explained by variation in gene copy number
  • At least 7 of observed variation in mRNA levels
    can be explained by variation in copy number

20
Findings and implications
  • Widespread DNA copy number alterations in breast
    tumors
  • Deletion of TSG and amplification of oncogenes
  • Many other alterations, may cause an imbalance in
    expression ? imbalance in physiology and
    metabolism ? further chromosomal instability ?
    tumorigenesis
  • High degree of copy number-dependent gene
    expression
  • 62 of highly amplified genes demonstrate
    elevated expression levels
  • Elevation in expression of an amplified gene
    cannot alone indicate a candidate oncogene

21
Large-Scale Copy Number Polymorphism in the Human
Genome(Sebat et. al. (2004) Science 305525-8)
  • Array based CGH of 20 individuals
  • Array with 85,000 probes representing human
    genome (Bgl II, Hind III)
  • Found 76 unique germ line CNPs (Copy Number
    Polymorphism)
  • 11/12 CNPs validated by FISH and other methods
  • No CNPs observed on chrX
  • Enrichment of segmental duplications in CNPs
  • Some CNPs involve genes related to neurological
    disease, cancer and obesity

22
Large-Scale Copy Number Polymorphism in the Human
Genome(Sebat et. al. (2004) Science 305525-8)
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