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Genomics
Presented by: Samaneh.Rasoulinejad
Fall 2013 - 2014
What is Genomics?
•
•

Genomcis is the study of all genes present in an
organism
In 1986 mouse geneticist Thomas Roderick used
Genomics for “mapping, sequencing and
characterizing genomes”
Introduction
• Genomics built on recombinant-DNA technology

(developed since early 1970s)
• Thorough understanding of recombinant-DNA
techniques
• Prerequisite for understanding genomics

technologies

• Differences between genomics and

recombinant-DNA technology

• Genomics is high throughput approaches to allow

more analyses in parallel
• Genomics is dependent on computational
analysis due to larger data sets
Sequence the entire genome by cutting it into small,
manageable pieces (fragments)
Assemble the entire genome from the pieces
(fragments)
Make sense of the genome
Understand how gene expression takes place?
How life processes are networked?
Understand life??
Technical Foundations of
Genomic and cDNA libraries
Genomics
DNA

Hybridization and Northern blots
Subcloning in vectors
Restriction-enzyme mapping
DNA sequencing
PCR amplification

Genomics and Medicine
What we hope to gain from
genomics
-Drug, diagnostics, and prognostics development
- Genotyping to predict patient susceptibility to
disease
- Personalized healthcare based on an individual’s
genomic features

genome

decision support systems
genotype
molecular profile
patient history
knowledge base

drugs diagnostics prognostics

health
Over 1,000 disease
genes were
characterized by 2000
How to make a genomic library
ori

total genomic DNA
ampR

genomic
DNA

restriction
enzyme
anneal
and ligate

ori
ampR

ori

plasmid (black)
ampR

ori

ampR

ori

ampR

same
restriction
enzyme
transform E. coli;
select for
Amp resistance
selected
colonies

tissue or cell

membrane

mRNA
polyA

stationary support
polyT

Radioactive
probe

plasmid
E. Coli
bacteria

hybridization

X-ray film

cDNA
library

Clone 1

2

3

4

5
Colony picking

microtiter
Microarrays
• Basis of microarrays for determining gene expression
• Process by which complementary strands find each

other
• A–T and C–G base pairing
• speed and fidelity: dependent on temperature, salt,
sequence, and concentration (High temp and low
salt)
•
•
•

•

Microarrays permit the simultaneous analysis of the
RNA expression of thousands of genes.
For fully sequenced genomes, microarrays can be
used to analyze the expression of every gene.
Prior to the introduction of microarrays, RNA
abundance was usually analyzed through
hybridization to RNA bound to filters. These Northern
blots normally had no more than 20–40 lanes, and no
more than three probes could be used
simultaneously.
In contrast, microarrays can interrogate 30,000
genes at the same time, vastly increasing our ability
to analyze RNA expression.
Northern blot and microarray
0 2 5 6 7 hrs

0 2 5 6 7 9 11 hrs
DMC1 –

DMC1 –

SPS1 –

DIT1 –
SPS1 –

SPS100 –
0 2 5 6 7 9 11 hrs

DIT1 –

SPS100 –

fold
repressed

fold
induced

>20 10x 3x | 3x 10x >20
1:1

Identify genes whose expression was induced during
sporulation in yeast
Cross-hybridization
•
•
•
•

Hybridization to a related, but not identical,
sequence = cross-hybridization
Example: A probe from one member of a gene family
is likely to hybridize to all other members
Problem in microarrays, particularly cDNA arrays
Oligonucleotide arrays prescreened to eliminate
sequences likely to cross-hybridize
Improved disease diagnostics from
genomics
•

Microarray analysis of
gene expression from four
different types of tumors
Microarrays and cancer
•
•

Histology not always effective tool for prognosis and
diagnosis
Microarrays distinguish cancerous tissues on the basis
of a gene expression profile
•

Use in diagnosis (presence)
•

•

Example: characterizing acute lymphoblastic leukemia. Also
breast cancer.

Use in prognosis
•

Example: assessing the likelihood of metastasis in
medulloblastoma (brain tumor in children)
Microarrays in the prognosis of metastasis
(childhood cancer: medulloblastoma)
•

•
•
•

Identified 85 genes with
different levels of expression in
metastatic (M+) and nonmetastatic tumors (M_)
59 up and 26 down
72% accuracy in predicting
metastasis
Identified genes induced in
metastasis
• Could serve as potential
drug targets for in vitro
experiments
• platelet derived growth
factor receptor alpha
(PDGFRα). Antibodies
prevent migration.

M–

M+
green =
down
regulated
red = up
regulated
Cancer genome projects
One in three people will suffer from cancer in his or her lifetime.

Cancer Genome Anatomy Project (CGAP)
Established 1997 by National Cancer Institute (USA)
Specializes in EST sequencing

Human Cancer Genome Project (HCGP)
Established 1999 by Brazilian research groups

Cancer Genome Project (CGP)
Established 2000 by Wellcome Trust and Sanger Institute
(United Kingdom)
Specializes in genomic mutations leading to cancer

Funding: $15 million to $60 million
Classes of microarrays
•

Custom/spotted/two-color
microarrays (cDNAs, BACs)

•

High-density oligonucleotide
arrays (GeneChip, Affymetrix)

•

Long oligonucleotide microarrays

- Agilent (25-60 bases)
- Illumina (50 bases)
- Nimblegen (50-75 bases)
Affymetrix oligonucleotide arrays
The array elements
are a series of 25mer oligos designed
from known sequence
and synthesized
Directly on the surface
The entire array is
formed by >500,000
cells, each containing
a different oligo
subcloning
• Propagating fragments
of cloned DNA
• Used for sequencing
and protein production
• Plasmid vectors
• Replicate in bacteria
• Resistant to antibiotics
• Cloning sites

ORI

Region
into which
DNA can
be inserted

Plasmid
cloning
vector

ampr
Subcloning: vector and fragment
•

Vector and fragment to be

DNA
fragment

inserted must have compatible
ends
•

Sticky ends anneal

•

Enzyme ligase makes covalent

cloning
vector

bond between vector and
fragment
•

Use of recombination instead of
restriction sites

recombinant
plasmid

restriction
enzymes
Recombination cloning
•

•

•
•

Uses site-specific
recombination for
subcloning
DNA fragment flanked by
recombination sites
Add recombinase
“Clonase®”
Moves fragment from
one vector to another
DNA sequencing
•

Most current sequencing projects use the chain
termination method
•

•

Based on action of DNA polymerase
•

•

Also known as Sanger sequencing, after its inventor, Fredrick
Sanger
Adds nucleotides to complementary strand

Requires template DNA and primer
Chain terminates

H

dideoxyribonucleotide
Chain-termination sequencing
•

Dideoxynucleotides stop
synthesis
•

Chain terminators

Included in amounts so as
to terminate every time the
base appears in the
template
• Use four reactions
•

•

One for each base:
A,C,G, and T
–

A

T

C

G

–

+
CAGTCAGT

+
Sequence detection
To detect products of sequencing
reaction
Include labeled nucleotides
Formerly, radioactive labels were
used
Now fluorescent labels
Use different fluorescent tag for
each nucleotide
Can run all four reactions in
same lane
Pyrosequencing
•
•
•

based on the sequencing by synthesis principle.
it relies on the detection of pyrophosphate release on
nucleotide incorporation
The technique was developed by Mostafa Ronaghi
and Pål Nyrén at the Royal Institute of Technology in
Stockholm in 1996
PCRs

•

•
•
•
•

•
•
•
•

•

Colony PCR
Helicase PCR
Hot- start
In situ
Intersequence specific
Inverse
Multiplex
Quantitative
Touch down
......
Resources

•

Bioinformatics, Genomics, and Proteomics (Ann Finney Batiza, Ph.D.)

•

SciencePages

•

Functional Genomics (Michael Kaufmann and Claudia Klinger

Private Universitt, Witten/Herdecke gGmbH, Witten, Germany)
Introduction to Genomics by Arthur M. Lesk, 2007, Oxford University Press
Thank you

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Genomics seminar

  • 2. What is Genomics? • • Genomcis is the study of all genes present in an organism In 1986 mouse geneticist Thomas Roderick used Genomics for “mapping, sequencing and characterizing genomes”
  • 3. Introduction • Genomics built on recombinant-DNA technology (developed since early 1970s) • Thorough understanding of recombinant-DNA techniques • Prerequisite for understanding genomics technologies • Differences between genomics and recombinant-DNA technology • Genomics is high throughput approaches to allow more analyses in parallel • Genomics is dependent on computational analysis due to larger data sets
  • 4. Sequence the entire genome by cutting it into small, manageable pieces (fragments) Assemble the entire genome from the pieces (fragments) Make sense of the genome Understand how gene expression takes place? How life processes are networked? Understand life??
  • 5. Technical Foundations of Genomic and cDNA libraries Genomics DNA Hybridization and Northern blots Subcloning in vectors Restriction-enzyme mapping DNA sequencing PCR amplification Genomics and Medicine
  • 6. What we hope to gain from genomics -Drug, diagnostics, and prognostics development - Genotyping to predict patient susceptibility to disease - Personalized healthcare based on an individual’s genomic features genome decision support systems genotype molecular profile patient history knowledge base drugs diagnostics prognostics health
  • 7. Over 1,000 disease genes were characterized by 2000
  • 8. How to make a genomic library ori total genomic DNA ampR genomic DNA restriction enzyme anneal and ligate ori ampR ori plasmid (black) ampR ori ampR ori ampR same restriction enzyme transform E. coli; select for Amp resistance
  • 9. selected colonies tissue or cell membrane mRNA polyA stationary support polyT Radioactive probe plasmid E. Coli bacteria hybridization X-ray film cDNA library Clone 1 2 3 4 5
  • 11. Microarrays • Basis of microarrays for determining gene expression • Process by which complementary strands find each other • A–T and C–G base pairing • speed and fidelity: dependent on temperature, salt, sequence, and concentration (High temp and low salt)
  • 12. • • • • Microarrays permit the simultaneous analysis of the RNA expression of thousands of genes. For fully sequenced genomes, microarrays can be used to analyze the expression of every gene. Prior to the introduction of microarrays, RNA abundance was usually analyzed through hybridization to RNA bound to filters. These Northern blots normally had no more than 20–40 lanes, and no more than three probes could be used simultaneously. In contrast, microarrays can interrogate 30,000 genes at the same time, vastly increasing our ability to analyze RNA expression.
  • 13. Northern blot and microarray 0 2 5 6 7 hrs 0 2 5 6 7 9 11 hrs DMC1 – DMC1 – SPS1 – DIT1 – SPS1 – SPS100 – 0 2 5 6 7 9 11 hrs DIT1 – SPS100 – fold repressed fold induced >20 10x 3x | 3x 10x >20 1:1 Identify genes whose expression was induced during sporulation in yeast
  • 14. Cross-hybridization • • • • Hybridization to a related, but not identical, sequence = cross-hybridization Example: A probe from one member of a gene family is likely to hybridize to all other members Problem in microarrays, particularly cDNA arrays Oligonucleotide arrays prescreened to eliminate sequences likely to cross-hybridize
  • 15. Improved disease diagnostics from genomics • Microarray analysis of gene expression from four different types of tumors
  • 16. Microarrays and cancer • • Histology not always effective tool for prognosis and diagnosis Microarrays distinguish cancerous tissues on the basis of a gene expression profile • Use in diagnosis (presence) • • Example: characterizing acute lymphoblastic leukemia. Also breast cancer. Use in prognosis • Example: assessing the likelihood of metastasis in medulloblastoma (brain tumor in children)
  • 17. Microarrays in the prognosis of metastasis (childhood cancer: medulloblastoma) • • • • Identified 85 genes with different levels of expression in metastatic (M+) and nonmetastatic tumors (M_) 59 up and 26 down 72% accuracy in predicting metastasis Identified genes induced in metastasis • Could serve as potential drug targets for in vitro experiments • platelet derived growth factor receptor alpha (PDGFRα). Antibodies prevent migration. M– M+ green = down regulated red = up regulated
  • 18. Cancer genome projects One in three people will suffer from cancer in his or her lifetime. Cancer Genome Anatomy Project (CGAP) Established 1997 by National Cancer Institute (USA) Specializes in EST sequencing Human Cancer Genome Project (HCGP) Established 1999 by Brazilian research groups Cancer Genome Project (CGP) Established 2000 by Wellcome Trust and Sanger Institute (United Kingdom) Specializes in genomic mutations leading to cancer Funding: $15 million to $60 million
  • 19. Classes of microarrays • Custom/spotted/two-color microarrays (cDNAs, BACs) • High-density oligonucleotide arrays (GeneChip, Affymetrix) • Long oligonucleotide microarrays - Agilent (25-60 bases) - Illumina (50 bases) - Nimblegen (50-75 bases)
  • 20. Affymetrix oligonucleotide arrays The array elements are a series of 25mer oligos designed from known sequence and synthesized Directly on the surface The entire array is formed by >500,000 cells, each containing a different oligo
  • 21. subcloning • Propagating fragments of cloned DNA • Used for sequencing and protein production • Plasmid vectors • Replicate in bacteria • Resistant to antibiotics • Cloning sites ORI Region into which DNA can be inserted Plasmid cloning vector ampr
  • 22. Subcloning: vector and fragment • Vector and fragment to be DNA fragment inserted must have compatible ends • Sticky ends anneal • Enzyme ligase makes covalent cloning vector bond between vector and fragment • Use of recombination instead of restriction sites recombinant plasmid restriction enzymes
  • 23. Recombination cloning • • • • Uses site-specific recombination for subcloning DNA fragment flanked by recombination sites Add recombinase “Clonase®” Moves fragment from one vector to another
  • 24. DNA sequencing • Most current sequencing projects use the chain termination method • • Based on action of DNA polymerase • • Also known as Sanger sequencing, after its inventor, Fredrick Sanger Adds nucleotides to complementary strand Requires template DNA and primer
  • 26. Chain-termination sequencing • Dideoxynucleotides stop synthesis • Chain terminators Included in amounts so as to terminate every time the base appears in the template • Use four reactions • • One for each base: A,C,G, and T
  • 28. Sequence detection To detect products of sequencing reaction Include labeled nucleotides Formerly, radioactive labels were used Now fluorescent labels Use different fluorescent tag for each nucleotide Can run all four reactions in same lane
  • 29. Pyrosequencing • • • based on the sequencing by synthesis principle. it relies on the detection of pyrophosphate release on nucleotide incorporation The technique was developed by Mostafa Ronaghi and Pål Nyrén at the Royal Institute of Technology in Stockholm in 1996
  • 30.
  • 31.
  • 32. PCRs • • • • • • • • • • Colony PCR Helicase PCR Hot- start In situ Intersequence specific Inverse Multiplex Quantitative Touch down ......
  • 33. Resources • Bioinformatics, Genomics, and Proteomics (Ann Finney Batiza, Ph.D.) • SciencePages • Functional Genomics (Michael Kaufmann and Claudia Klinger Private Universitt, Witten/Herdecke gGmbH, Witten, Germany) Introduction to Genomics by Arthur M. Lesk, 2007, Oxford University Press