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DNA Sequencing (more)
• DNA sequencing is a laboratory technique used to
determine the exact sequence of bases (A, C, G, and
T) in a DNA molecule.
• The DNA base sequence carries the information a
cell needs to assemble protein and RNA molecules.
• The information is important to investigate the
functions of genes.
• The technology was made faster and less expensive
as a part of the Human Genome Project.
Genome.gov
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DNA Sequencing
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The Human Genome Project
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DNA sequencing
• De novo genome sequencing
and assembly
chromosome
l
eukaryotic
viral
prokaryotic
2000 – draft human genome
sequence
2003 – completed (kind of)
Ensembl genomes:
- 69 higher animals +
other model animals
- 55 insects and lower
metazoans
- 39 plants
- 563 fungi
- Over 200 protist
species and subspecies
- Over 20 000 bacteria
species and subspecies
Genomics
• Area of genetics that concerns the sequencing and
analysis of an organism’s genetic information
• DNA sequencing + bioinformatics => sequence,
assemble and analyze the function and structure of
genomes (the complete set of DNA within a single cell
of an organism)
Bacterial genome
Human genome
The Human Genome Project
• First draft genome of human in 2001, final 2004
• Estimated costs $3 billion, time 13 years
• Used Sanger Sequencing
Today:
Illumina: 1 week, 9500$
Exome: 6 weeks*, $1000
Towards 1000$ genome
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• Takes advantage of miniaturization to engage
in massively parallel analysis
– Essentially carrying out millions of sequencing
reactions simultaneously in each of 10 million tiny
wells
• Sophisticated computer analysis of huge
amounts of information allows “assembly" of a
given sequence.
Next (second) Generation Sequencing
NGS
• These techniques could be used to
– deal with similar problems than microarrays,
– but also with many other.
• They raised the promise of personalized medicine
• NGS technologies have been on the market only since 2004
• Have now largely replaced Sanger sequencing technologies (owing
to the ultra-high-throughput production/hundreds gigabases) .
• The advent of high-throughput sequencing technologies has
initiated the ‘personal genome sequencing’ era for both normal and
cancer genomes .
• Large-scale international projects such as the 1000 Genomes
Project and the International Cancer Genome Consortium
8
NGS Technologies/Platforms
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NGS Technologies/Platforms
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Sequencing Principles
• Sequencing by Synthesis
– Sanger/Dideoxy chain termination (Life Technologies, Applied
Biosystems)
– Pyrosequencing (Roche/454)
– Reversible terminator (Illumina )
– Ion torrent (Life Technologies)
– Zero Mode Waveguide (Pacific Biosciences) 3rd GS
• Sequencing by Oligo Ligation Detection
– SOLiD (Applied Biosystems)
• Direct reading of DNA sequence
– Nanopore sequencing 3rd GS
– Electron microscope 3rd GS
NGS, General Procedure
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NGS Process in different Platforms
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Roche Sequencing Process
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• DNA Library Preparation
Nanopore sequencing (direct reading)3rd generation
sequencing
NGS Application
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NGS
Whole Genome
Seq
Exome Seq
RNA-seq
Epigenetic
Metagenomics
Resequencing
Gene
Regulation
NGS Application
• Ancient DNA
• DNA mixtures from diverse ecosystems, metagenomics
• Resequencing previously published reference strains.
• Identification of all mutations in an organism
• Errors in published literature
• Expand the number of available genomes.
• Comparative studies
• Deciphering cell’s transcripts at sequence level
without knowledge of the genome sequence
• Sequencing extremely large genomes, crop plants
• Detection of cancer specific alleles avoiding traditional cloning
• Chip-seq: interactions protein-DNA
• Epigenomics
• Detecting ncRNA
• Genetic human variation : SNP, CNV (diseases)
• Degraded state of the sample  mitDNA sequencing
• Nuclear genomes of ancient remains: cave bear, mommoth, Neanderthal (106 bp )
Problems: contamination modern humans and coisolation bacterial DNA
• Key part in regulating gene
expression
• Chip: technique to study DNA-
protein interaccions
• Recently genome-wide ChIP-
based studies of DNA-protein
interactions
• Readout of ChIP-derived DNA
sequences onto NGS platforms
• Insights into transcription
factor/histone binding sites in
the human genome
• Enhance our understanding of the
gene expression in the context of
specific environmental stimuli
• ncRNA presence in genome difficult to predict by
computational methods with high certainty because the
evolutionary diversity
• Detecting expression level changes that correlate with
changes in environmental factors, with disease onset and
progression, complex disease set or severity
• Enhance the annotation of sequenced genomes (impact of
mutations more interpretable)
• Extreme example: multiplexing
the amplification of 10 000
human exons using primers
from a programmable
microarray and sequencing
them using NGS.
• Characterizing the biodiversity found on Earth
• The growing number of sequenced genomes enables us to interpret partial
sequences obtained by direct sampling of specif environmental niches.
• Examples: ocean, acid mine site, soil, coral reefs, human microbiome which may
vary according to the health status of the individual
• Common variants have not yet
completly explained complex disease
genetics rare alleles also contribute
• Also structural variants, large and
small insertions and deletions
• Accelerating biomedical research
• Enable of genome-wide patterns of
methylation and how this patterns
change through the course of an
organism’s development.
• Enhanced potential to combine the
results of different experiments,
correlative analyses of genome-wide
methylation, histone binding patterns
and gene expression, for example.
Microarray technique
Concept, methodology and applications
DNA microarray is an innovative technology that
facilitates the analysis of the expression of
thousands of genes simultaneously.
The utilization of this methodology, which is
rapidly evolving, requires a combination of
expertise from the biological, mathematical and
statistical sciences.
• The rapid advance of genome-scale sequencing has
driven the development of methods to exploit the
information encoded by such genes and to define
their participation in physiological and disease
processes.
• Microarray technology seems likely to become a
standard tool for both molecular biology research and
clinical diagnostics. This could be achieved by the
systematic survey of RNA, DNA and even protein
variation.
• The main advantage of this high throughput
method is that it allows generating information
of thousands of genes in a single experiment.
• DNA microarray is thus the latest in a line of
techniques to exploit a potent feature of the
DNA duplex: the sequence complimentarity of
the two strands.
Types of Microarrays
-Expression Arrays
-Protein microarrays (Proteomics)
-Resequencing arrays
-CGH arrays- Comparative genomic
hybridization
-SNPArrays
-Antibody Arrays
-Exon arrays-Alternative splice variant
detection
-Tissue Arrays
Building the chip
Arrayed Library
(96 or 384-well plates of
bacterial glycerol stocks)
PCR amplification
Directly from colonies with
SP6-T7 primers in 96-well
plates
Consolidate into
384-well plates
Spot as microarray
on glass slides
Spotted cDNA and Oligo
Glass Arrays:
Involves two dyes on the
same slide
• Red dye-Cy5
• Green dye-Cy3
• Control and
experimental cDNA on
same chip
Expression profiling with cDNA microarrays
cDNA “A”
Cy5 labeled
cDNA “B”
Cy3 labeled
Hybridization Scanning
Laser 1 Laser 2
+
Analysis Image Capture
Image analysis of cDNA array
Electroniconically Addressable Microarrays
Motorola- eSensor Chip
Nanogen- Nanochip
Tissue Arrays
Slide based “spotted” tissues (not really)
Assembling
Tissue Arrays
Coring of
embedded
paraffin tissues
and plugging
or inserting
into
new paraffin
block
Sectioning and
deposition
onto a slide

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Microarry andd NGS.pdf

  • 1. DNA Sequencing (more) • DNA sequencing is a laboratory technique used to determine the exact sequence of bases (A, C, G, and T) in a DNA molecule. • The DNA base sequence carries the information a cell needs to assemble protein and RNA molecules. • The information is important to investigate the functions of genes. • The technology was made faster and less expensive as a part of the Human Genome Project. Genome.gov Setia Pramana 1
  • 3. The Human Genome Project Setia Pramana 3
  • 4. DNA sequencing • De novo genome sequencing and assembly chromosome l eukaryotic viral prokaryotic 2000 – draft human genome sequence 2003 – completed (kind of) Ensembl genomes: - 69 higher animals + other model animals - 55 insects and lower metazoans - 39 plants - 563 fungi - Over 200 protist species and subspecies - Over 20 000 bacteria species and subspecies
  • 5. Genomics • Area of genetics that concerns the sequencing and analysis of an organism’s genetic information • DNA sequencing + bioinformatics => sequence, assemble and analyze the function and structure of genomes (the complete set of DNA within a single cell of an organism) Bacterial genome Human genome
  • 6. The Human Genome Project • First draft genome of human in 2001, final 2004 • Estimated costs $3 billion, time 13 years • Used Sanger Sequencing Today: Illumina: 1 week, 9500$ Exome: 6 weeks*, $1000 Towards 1000$ genome Setia Pramana 6
  • 7. • Takes advantage of miniaturization to engage in massively parallel analysis – Essentially carrying out millions of sequencing reactions simultaneously in each of 10 million tiny wells • Sophisticated computer analysis of huge amounts of information allows “assembly" of a given sequence. Next (second) Generation Sequencing
  • 8. NGS • These techniques could be used to – deal with similar problems than microarrays, – but also with many other. • They raised the promise of personalized medicine • NGS technologies have been on the market only since 2004 • Have now largely replaced Sanger sequencing technologies (owing to the ultra-high-throughput production/hundreds gigabases) . • The advent of high-throughput sequencing technologies has initiated the ‘personal genome sequencing’ era for both normal and cancer genomes . • Large-scale international projects such as the 1000 Genomes Project and the International Cancer Genome Consortium 8
  • 11. Sequencing Principles • Sequencing by Synthesis – Sanger/Dideoxy chain termination (Life Technologies, Applied Biosystems) – Pyrosequencing (Roche/454) – Reversible terminator (Illumina ) – Ion torrent (Life Technologies) – Zero Mode Waveguide (Pacific Biosciences) 3rd GS • Sequencing by Oligo Ligation Detection – SOLiD (Applied Biosystems) • Direct reading of DNA sequence – Nanopore sequencing 3rd GS – Electron microscope 3rd GS
  • 13. NGS Process in different Platforms Setia Pramana 13
  • 14. Roche Sequencing Process Setia Pramana 14 • DNA Library Preparation
  • 15. Nanopore sequencing (direct reading)3rd generation sequencing
  • 16. NGS Application Setia Pramana 16 NGS Whole Genome Seq Exome Seq RNA-seq Epigenetic Metagenomics Resequencing Gene Regulation
  • 18. • Ancient DNA • DNA mixtures from diverse ecosystems, metagenomics • Resequencing previously published reference strains. • Identification of all mutations in an organism • Errors in published literature • Expand the number of available genomes. • Comparative studies • Deciphering cell’s transcripts at sequence level without knowledge of the genome sequence • Sequencing extremely large genomes, crop plants • Detection of cancer specific alleles avoiding traditional cloning • Chip-seq: interactions protein-DNA • Epigenomics • Detecting ncRNA • Genetic human variation : SNP, CNV (diseases)
  • 19. • Degraded state of the sample  mitDNA sequencing • Nuclear genomes of ancient remains: cave bear, mommoth, Neanderthal (106 bp ) Problems: contamination modern humans and coisolation bacterial DNA
  • 20. • Key part in regulating gene expression • Chip: technique to study DNA- protein interaccions • Recently genome-wide ChIP- based studies of DNA-protein interactions • Readout of ChIP-derived DNA sequences onto NGS platforms • Insights into transcription factor/histone binding sites in the human genome • Enhance our understanding of the gene expression in the context of specific environmental stimuli
  • 21. • ncRNA presence in genome difficult to predict by computational methods with high certainty because the evolutionary diversity • Detecting expression level changes that correlate with changes in environmental factors, with disease onset and progression, complex disease set or severity • Enhance the annotation of sequenced genomes (impact of mutations more interpretable)
  • 22. • Extreme example: multiplexing the amplification of 10 000 human exons using primers from a programmable microarray and sequencing them using NGS.
  • 23. • Characterizing the biodiversity found on Earth • The growing number of sequenced genomes enables us to interpret partial sequences obtained by direct sampling of specif environmental niches. • Examples: ocean, acid mine site, soil, coral reefs, human microbiome which may vary according to the health status of the individual
  • 24. • Common variants have not yet completly explained complex disease genetics rare alleles also contribute • Also structural variants, large and small insertions and deletions • Accelerating biomedical research
  • 25. • Enable of genome-wide patterns of methylation and how this patterns change through the course of an organism’s development. • Enhanced potential to combine the results of different experiments, correlative analyses of genome-wide methylation, histone binding patterns and gene expression, for example.
  • 27. DNA microarray is an innovative technology that facilitates the analysis of the expression of thousands of genes simultaneously. The utilization of this methodology, which is rapidly evolving, requires a combination of expertise from the biological, mathematical and statistical sciences.
  • 28. • The rapid advance of genome-scale sequencing has driven the development of methods to exploit the information encoded by such genes and to define their participation in physiological and disease processes. • Microarray technology seems likely to become a standard tool for both molecular biology research and clinical diagnostics. This could be achieved by the systematic survey of RNA, DNA and even protein variation.
  • 29. • The main advantage of this high throughput method is that it allows generating information of thousands of genes in a single experiment. • DNA microarray is thus the latest in a line of techniques to exploit a potent feature of the DNA duplex: the sequence complimentarity of the two strands.
  • 30. Types of Microarrays -Expression Arrays -Protein microarrays (Proteomics) -Resequencing arrays -CGH arrays- Comparative genomic hybridization -SNPArrays -Antibody Arrays -Exon arrays-Alternative splice variant detection -Tissue Arrays
  • 31. Building the chip Arrayed Library (96 or 384-well plates of bacterial glycerol stocks) PCR amplification Directly from colonies with SP6-T7 primers in 96-well plates Consolidate into 384-well plates Spot as microarray on glass slides
  • 32. Spotted cDNA and Oligo Glass Arrays: Involves two dyes on the same slide • Red dye-Cy5 • Green dye-Cy3 • Control and experimental cDNA on same chip
  • 33. Expression profiling with cDNA microarrays cDNA “A” Cy5 labeled cDNA “B” Cy3 labeled Hybridization Scanning Laser 1 Laser 2 + Analysis Image Capture
  • 34.
  • 35. Image analysis of cDNA array
  • 37.
  • 38. Tissue Arrays Slide based “spotted” tissues (not really)
  • 39. Assembling Tissue Arrays Coring of embedded paraffin tissues and plugging or inserting into new paraffin block Sectioning and deposition onto a slide