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Title: Molecular Cytogenetics tools


1
Molecular Cytogenetics tools
Joris Vermeesch
October 4, 2008 Postgraduate course in human
genetics
2
Conventional Cytogenetics
3
SYNCHRONISATION OF THE CELL CULTURES Metotrexate/T
hymidine
4
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5
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6
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7
HYBRIDISATION
8
PROBES
  • Gekloneerde DNA fragmenten
  • Plasmid ( 10 kb)
  • Cosmid ( 40 kb)
  • BAC/PAC/P1 (150 kb)
  • YACs ( 1000 kb)
  • Volledige chromosomen resulteren in painting
    probes
  • (Flow sorting/microdissectie/somatische cell
    hybriden)
  • Genomisch DNA
  • Oligonucleotides

9
LABELING OF THE PROBES
Nick translatie
Random prime labeling
10
DETECTION
11
METAFASE FISH(resolutie 3-5Mb)
12
INTERFASE FISH(resolutie 500kb-2 Mb)
13
FIBER FISH(resolutie 10 kb-200 kb)
14
SNP DETECTIE(nucleotide resolutie)
15
DIFFERENT COLOUR FISH(Metafasen)
16
DIFFERENT COLOUR FISH(Interfasen)
17
MULTI-COLOUR FISH (MFISH)
18
MULTI-COLOUR FISH (MFISH)
19
LABELING SCHEMA
20
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21
Spectral karyotyping
22
Flow sorting chromosomen
23
SOMATISCHE CELL HYBRIDEN
24
CHROMOSOOM MICRODISSECTIE
Amplify
25
MULTIKLEUREN-BANDING FISH
26
CONFOCAL MICROSCOPY
CLSM of LSCM is used to obtain 3-D images. The
most important feature is to obtain sharp images
from relatively thick specimen. By using
laserligth light is projects as points. By using
spatial filters out-of-focus light is eliminated.

http//micro.magnet.fsu.edu/primer/virtual/confoca
l/index.html
http//www.olympusfluoview.com/theory/
27
DECONVOLUTION MICROSCOPY
By mathematical filtering scattering light is
removed from the foacal plane. This results in
an images with less noise, a sharper image and a
better 3 D resolution.
www.olympusmicro.com/primer/virtual/confocal/index
.html
28
3D reconstructie van deconvulutie microscopie
29
REAL TIME CONFOCAL MICROSCOPY
30
Comparative Genome Hybridisation (CGH)
Chromosomes on glass slides
deletion
control DNA
Wash
Hybridization
patient DNA
duplication
31

Molecular karyotyping
Array of DNA fragments
Duplication
Deletion
Patient DNA
Control DNA
32
Array targets
  • BACs
  • Cosmids, fosmids
  • PCR products
  • cDNAs
  • oligonucleotides

33
Array production
34
Array protocol FISH
  • Probe labeling
  • Prehybridisation
  • Hybridisation
  • Washing
  • Drying

35
Array scanning
36
DETECTION OF DELETIONS
46,XX,del(10)(q25.1q26.11)de novo
37
DETECTION OF DUPLICATIONS
No diagnosis
46,XY,der(22),ins(2216)(p13p13.2p13.3)de novo
38
DETECTION OF MOSAICS
Bernard Thienpont
39
  • Rapid identification of chromosomal breakpoints

Amplify
Liesbeth Bacx Hilde Van Esch
40
  • Affymetrix GeneChip Human Mapping SNP Array Set
    for genotype-based applications and
    high-resolution copy number variation detection

41
From probe intensities to genotype calls and CNV
detection
Single hybridisations
G
For CNV detection compare SNP-probe intensities
to a reference pool.
42
Child
Father
Mother
CME 80286
43
Single cell molecular karyotyping
Amplify
Cédric Le Caignec
44
250K SNP-array and single cell analyses
Xq terminal deletion (58 Mb)
18p terminal duplication (14 Mb)
Posterior P
BAC-aCGH
45
MOLECULAR KARYOTYPING
  • TECHNICAL ASPECTS

46
Technical aspects
Is this a normal or an abnormal molecular
karyotype?
47
Answer depends on premises
  • Technical premises
  • Quality I Thresholding
  • Quality II Segmentation algoritms
  • Qulaility III Dynamic range
  • Biological premises
  • Polymorphisms?
  • Benign or malignant copy number variation

48
Fixed tresholds
Vissers et al., 2003
Ishkanian et al., 2004
49
Fixed tresholds
0.5
0.3
-0.3
-0.5
0.5
0.3
-0.3
-0.5
Problem number of false positives dependens on
variation of intensity ratios
50
results part II data analysis - some
statistics
  • 2 x stdev ? 2.5 1/40
  • 3 x stdev ? 0.14 1/720
  • 4 x stdev ? 0.003 1/30 000

51
results part II data analysis - some
statistics
µdel
-0,75
4 x stdev
stdev
stdev
stdev
lt 0.1
lt 0.1
lt 0.1
52
results part II data analysis - some
statistics
µdel
-0,75
4 x stdev
stdev
stdev
stdev
lt 0.1
lt 0.1
lt 0.1
-1
-0,8
-0,6
-0,4
-0,2
0
0,2
0,4
0,6
0,8
1
53
Tresholding floating threshold
47,XX,13/46,XY
0.58
0.58-2SD
4SD
0
-4SD
Chromosomes 12 13 14
4SDlog2(3/2)-2SD or SD0.096
54
tresholding Avoid false positives/false
negatives
  • Segmentation algoritms
  • Hidden Markov
  • CNAT,CNAG
  • .

55
Quality II segmentation
CME 80286
Child
Father
Mother
56
Quality III Dynamic range
Friedman et al., AJHG, 2007
57
Array quality Dynamic range
  • Factors influencing dynamic range
  • BAC amplification quality
  • Hybridisation conditions
  • CotI quality

58
MOLECULAR KARYOTYPING
  • CLINICAL ASPECTS

59
Very high incidence of submicroscopic imbalances
60
Apparently balanced translocations the majority
is unbalanced!!!
  • 59 cases
  • 41 apparently balanced translocations
  • 27 patients 40 (11/27) unbalanced
  • 22 (6/27) with deletions at the translocation
    breakpoints
  • 18 (5/27) with complex rearrangements
  • 14 fetuses all normal
  • 18 complex rearrangements 16/18 (89) unbalanced
  • 13 patients
  • 3 fetuses
  • 2 females with repeated abbortions

De Gregori et al., J. Med. Gen. 2007
61
From diagnosis to prognosis
  • Patient
  • Pulmonary valve stenosis
  • Cleft uvula
  • Mild dysmorphism
  • Mild learning difficulties
  • High myopia

62
From diagnosis to prognosis
63
Screening 900 patients with MR/MCA 167 (20)
imbalanced (2007)
  • Outcome
  • deletions 106
  • duplications 43
  • mosaicisms 3
  • unbalanced translocation 13
  • Sizes of anomalies
  • 1 clone 1/3 (100kb-3 Mb)
  • 2 to 5 clones 1/3 (2 6 Mb)
  • gt 5 clones 1/3 (gt 6 Mb)
  • Origin of the anomaly
  • De novo 3/4
  • Familial 1/4

64
The imbalances are scattered across the genome
65
Conclusion
  • Array CGH should be part of the diagnostic
    work-up of patients with MCA/MR

66
What causes us (humans) to differ from one
another?
67
Large scale copy number variation !!
Estimated to be 12 of genome 400 Mb
68
CONCLUSION
  • WE ARE ALL ABNORMAL!!

69
The challenge Which imbalances are causal for
the phenotype?
Conventional wisdom
Recurrent imbalances with same phenotype are
causal
The larger the size, the more likely causal
Population embedded CNVs are benign
Inherited imbalances are benign while de novo
imbalances are causal
70
Identifying recurrent imbalances and phenotypes
71
The challenge Which imbalances are causal for
the phenotype?
Conventional wisdom
Recurrent imbalances with same phenotype are
causal
The larger the size, the more likely causal
Population embedded CNVs are benign
Inherited imbalances are benign while de novo
imbalances are causal
72
The challenge Which imbalances are causal for
the phenotype?
Malignant imbalances
Benign copy number variation
1 bp
10 Mb
Deletion or duplication size
Size alone is not a good determinant!
73
The challenge Which imbalances are causal for
the phenotype?
Conventional wisdom
Recurrent imbalances with same phenotype are
causal
The larger the size, the more likely causal
Population embedded CNVs are benign
Inherited imbalances are benign while de novo
imbalances are causal
74
Genome variation Database Map all benign
variation
  • Database of genomic variants May 2008
  • Redon et al. Nature, 2008

75
The challenge Which imbalances are causal for
the phenotype?
Conventional wisdom
Recurrent imbalances with same phenotype are
causal
The larger the size, the more likely causal
Population embedded CNVs are benign
Inherited imbalances are benign while de novo
imbalances are causal
76
Mendelian CNVs a paradigm shift in genetics
  • Inherited apparently benign CNVs CAN cause
    disease

Mendelian CNVs is the term coined here to
indicate benign CNVs which can cause disease
dependent on either copy number state,
inheritance pattern or genetic and environmental
background.
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