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 The genome is all the DNA in a cell.
› All the DNA on all the chromosomes
› Includes genes, intergenic sequences, repeats
 Specifically, it is all the DNA in an organelle.
 Eukaryotes can have 2-3 genomes
› Nuclear genome
› Mitochondrial genome
› Plastid genome
 If not specified, “genome” usually refers to the
nuclear genome.
 Genomics is the study of genomes, including
large chromosomal segments containing many
genes.
 The initial phase of genomics aims to map and
sequence an initial set of entire genomes.
 Functional genomics aims to deduce
information about the function of DNA
sequences.
› Should continue long after the initial genome
sequences have been completed.
Genomics-what is it?
 Development and application of genetic mapping, sequencing,
and computation (bioinformatics) to analyze the genomes of
organisms.
Sub-fields of genomics:
1. Structural genomics-genetic and physical mapping of genomes.
2. Functional genomics-analysis of gene function (and non-genes).
3. Comparative genomics-comparison of genomes across species.
 Includes structural and functional genomics.
 Evolutionary genomics.
 22 autosome pairs + 2
sex chromosomes
 3 billion base pairs in
the haploid genome
 Where and what are
the 30,000 to 40,000
genes?
 Is there anything else
interesting/important?
From NCBI web site, photo from T. Ried,
Natl Human Genome Research Institute, NIH
 Human genome has 3.2 billion base pairs
of DNA
 About 3% codes for proteins
 About 40-50% is repetitive, made by
(retro)transposition
 What is the function of the remaining
50%?
 Know (close to) all the genes in a genome, and
the sequence of the proteins they encode.
 BIOLOGY HAS BECOME A FINITE SCIENCE
› Hypotheses have to conform to what is present,
not what you could imagine could happen.
 No longer look at just individual genes
› Examine whole genomes or systems of genes
 Genetics: study of inherited phenotypes
 Genomics: study of genomes
 Biochemistry: study of the chemistry of
living organisms and/or cells
 Revolution lauched by full genome
sequencing
› Many biological problems now have finite (albeit
complex) solutions.
› New era will see an even greater interaction
among these three disciplines
 Distinct components of genomes
 Abundance and complexity of mRNA
 Normalized cDNA libraries and ESTs
 Genome sequences: gene numbers
 Comparative genomics
 Complex genomes have roughly 10x to 30x
more DNA than is required to encode all the
RNAs or proteins in the organism.
 Contributors to the non-coding DNA include:
› Introns in genes
› Regulatory elements of genes
› Multiple copies of genes, including pseudogenes
› Intergenic sequences
› Interspersed repeats
 Highly repeated DNA
› R (repetition frequency) >100,000
› Almost no information, low complexity
 Moderately repeated DNA
› 10<R<10,000
› Little information, moderate complexity
 “Single copy” DNA
› R=1 or 2
› Much information, high complexity
• Genes were originally defined in terms of
phenotypes of mutants
• Now we have sequences of lots of DNA from
a variety of organisms, so ...
• Which portions of DNA actually do something?
• What do they do?
• code for protein or some other product?
• regulate expression?
• used in replication, etc?
 Determining a 3D structure
› X-ray crystallography
 Structural elements
 Modeling a 3D structure
Primary Secondary Tertiary Quaternary
Amino acid
sequence.
Alpha helices &
Beta sheets,
Loops.
Arrangement
of secondary
elements in
3D space.
Packing of several
polypeptide chains.
Given an amino acid sequence, we are interested in its secondary
structures, and how they are arranged in higher structures.
Protein Structures
Alpha-helix Beta-strand Beta-turns
Ca or CA Ball-and-stick CPK
• It’s often as important to decide what to omit as it is to decide what to
include
• What you omit depends on what you want to emphasize
 Jmol
› http://jmol.sourceforge.net
 PyMOL
› http://pymol.sourceforge.net
 Swiss PDB viewer
› http://www.expasy.ch/spdbv
 Mage/KiNG
› http://kinemage.biochem.duke.edu/software/mage.php
› http://kinemage.biochem.duke.edu/software/king.php
 Rasmol
› http://www.umass.edu/microbio/rasmol/
 Astex Viewer/Open Astex
› http://openastexviewer.net/web/
 EBI (PDBe)
› Lots of hyperlinks out
› Educational info (proteins of the month)
 RCSB (PDB)
› Lots of hyperlinks out
› Educational info (proteins of the month)
http://www.ebi.ac.uk/pdbe/
The last 15 years have
witnessed an explosion in
the number of known
protein structures. How
do we make sense of all
this information?
blue bars: yearly total
red bars: cumulative total
N=87,153
Non-redundant ~ 49,158
Classification of Protein Structures
The explosion of protein structures has led to the development of
hierarchical systems for comparing and classifying them.
Effective protein classification systems allow us to address several
fundamental and important questions:
If two proteins have similar structures, are they related by
common ancestry, or did they converge on a common theme from
two different starting points?
How likely is that two proteins with similar structures have the
same function?
Put another way, if I have experimental knowledge of, or can
somehow predict, a protein’s structure, I can fit into known
classification systems. How much do I then know about that
protein? Do I know what other proteins it is homologous to? Do I
know what its function is?
 “A polypeptide or part of a polypeptide chain that
can independently fold into a stable tertiary
structure...”
from Introduction to Protein Structure, by Branden &
Tooze
 “Compact units within the folding pattern of a
single chain that look as if they should have
independent stability.”
from Introduction to Protein Architecture, by Lesk
 Thus, domains:
• can be built from structural motifs;
• independently folding elements;
• functional units;
• separable by proteases.
Two domains of a
bifunctional enzyme
 Proteins often have a modular organization
 Single polypeptide chain may be divisible into smaller independent
units of tertiary structure called domains
 Domains are the fundamental units of structure classification
 Different domains in a protein are also often associated with different
functions carried out by the protein, though some functions occur at
the interface between domains
1 60 100 300 324 355 363 393
activation
domain
sequence-specific
DNA binding domain
tetramer-
ization
domain
non-specific
DNA-binding
domain
domain organization of P53 tumor suppressor
 Not all proteins change at
the same rate;
Why?
 Functional pressures
› Surface residues are
observed to change most
frequently;
› Interior less frequently;
Many sequences can give same structure
 Side chain pattern more important than
sequence
When homology is high (>50%), likely to have same
structure and function (Structural Genomics)
 Cores conserved
 Surfaces and loops more variable
*3-D shape more conserved than sequence*
*There are a limited number of structural frameworks*
W. Chazin © 2003
Degree of Evolutionary
Conservation
Less conserved
Information poor
More conserved
Information rich
DNA seq Protein seq Structure Function
ACAGTTACAC
CGGCTATGTA
CTATACTTTG
HDSFKLPVMS
KFDWEMFKPC
GKFLDSGKLG
S. Lovell © 2002
 Proteins reflect millions of years of evolution.
 Most proteins belong to large evolutionary families.
 3D structure is better conserved than sequence during
evolution.
 Similarities between sequences or between structures may
reveal information about shared biological functions of a protein
family.
How is a 3D structure determined ?
1. Experimental methods (Best approach):
• X-rays crystallography - stable fold, good quality crystals.
• NMR - stable fold, not suitable for large molecule.
2. In-silico methods (partial solutions -
based on similarity):
• Sequence or profile alignment - uses similar sequences,
limited use of 3D information.
• Threading - needs 3D structure, combinatorial complexity.
• Ab-initio structure prediction - not always successful.
X-ray
X-rays
Diffraction
Pattern
Direct detection of
atom positions
Crystals
NMR
RF
RF
Resonance
H0
Indirect detection of
H-H distances
In solution
• •
Position
Signal
Resolving Power:
The ability to see two points that are separated by a given distance as
distinct
Resolution of two points separated by a distance d requires radiation with a
wavelength on the order of d or shorter:
d
wavelength
Mark Rould © 2007
Resolving Power
•Lenses require a difference in refractive index between
the air and lens material in order to 'bend' and redirect
light (or any other form of electromagnetic radiation.)
•The refractive index for x-rays is almost exactly 1.00 for
all materials.
∆ There are no lenses for xrays.
nair
nglass
nair
Mark Rould © 2007
X-ray Microscopes?
Scattering =
Fourier Transform of
specimen
Lens applies a second
Fourier Transform to
the scattered rays to
give the image
Mark Rould © 2007
Light Scattering and Lenses are
Described by Fourier Transforms
Since X-rays cannot be focused by lenses and refractive
index of X-rays in all materials is very close to 1.0 how do we
get an atomic image?
Images by Kevin Cowtan
http://www.yorvic.york.ac.uk/~cowtan
The molecule The diffraction pattern
Animal Magic
Images by Kevin Cowtan
http://www.yorvic.york.ac.uk/~cowtan
The CAT (molecule)
The diffraction pattern
X-Ray Detector
Computer
Mark Rould © 2007
Solution: Measure Scattered Rays, Use
Fourier Transform to Mimic Lens Transforms
A single molecule is a very weak scatterer of X-rays. Most of the
X-rays will pass through the molecule without being diffracted. Those rays
which are diffracted are too weak to be detected.
Solution: Analyzing diffraction from crystals instead of single molecules.
A crystal is made of a three-dimensional repeat of ordered molecules (1014)
whose signals reinforce each other. The resulting diffracted rays are strong
enough to be detected.
Sylvie Doublié © 2000
• 3D repeating lattice;
• Unit cell is the smallest unit of the lattice;
• Come in all shapes and sizes.
Crystals come from slowly precipitating the
biological molecule out of solution under conditions
that will not damage or denature it (sometimes).
A Crystal
X-rays
Computer
Crystallographer
Electron
density map
Model
Scattered rays
Detector
Object
Sylvie Doublié © 2000
Diffraction pattern is a collection of
diffraction spots (reflections)
Rubisco diffraction pattern
3-D view of macromolecules at near atomic resolution.
The result of a successful structural project is a “structure” or model of the
macromolecule in the crystal.
You can assign:
- secondary structure elements
- position and conformation of side chains
- position of ligands, inhibitors, metals etc.
A model allows you:
- to understand biochemical and genetic data
(i.e., structural basis of functional changes in mutant
or modified macromolecule).
- generate hypotheses regarding the roles of particular
residues or domains
Sylvie Doublié © 2000
 A structure is a
“MODEL”!!
 What does that
mean?
› It is someone’s
interpretation of the
primary data!!!
 A comparison of gene numbers ,
gene locations & biological functions
of gene, in the genomes of different
organisms, one objective being to
identify groups of genes that play a
unique biological role in a particular
organism.
 Homology :- Relationship of any two
characters ( such as two proteins that have
similar sequences ) that have descended,
usually through divergence, from a common
ancestral character.
 Homologues are thus components or
characters (such as genes/proteins with
similar sequences) that can be attributed to a
common ancestor of the two organisms
during evolution.
 Orthologues are homologues that have evolved
from a common ancestral gene by speciation. They
usually have similar functions.
 Paralogues are homologues that are related or
produced by duplication within a genome followed
by subsequent divergence. They often have
different functions.
 Xenologues are homologous that are related by an
interspecies (horizontal transfer) of the genetic
material for one of the homologues. The functions
of the xenologues are quite often similar.
 Analogues are non-homologues
genes/proteins that have descended
convergently from an unrelated
ancestor. They have similar functions
although they are unrelated in either
sequence or structure.
Comparative Genomics
Two very large problems are immediately apparent in
undertaking the sequencing of entire genomes.
First, the vast numbers of species and the much larger size of
some genomes makes the entire sequencing of all genomes a
non-optimal approach for understanding genome structure.
Second, within a given species most individuals are genetically
distinct in a number of ways. What does it actually mean, for
example, to "sequence a human genome"? The genomes of two
individuals who are genetically distinct differ with respect to DNA
sequence by definition.
These two problems, and the potential for other novel
applications, have given rise to new approaches which, taken
together, constitute the field of comparative genomics.
All modern genomes have arisen from common ancestral
genomes, the relationships between genomes can be studied
with this fact in mind. This commonality means that information
gained in one organism can have application in other even
distantly related organisms.
Comparative genomics enables the application of information
gained from facile model systems to agricultural and medical
problems. The nature and significance of differences between
genomes also provides a powerful tool for determining the
relationship between genotype and phenotype through
comparative genomics and morphological and physiological
studies.

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Genomics_final.pptx

  • 1.
  • 2.  The genome is all the DNA in a cell. › All the DNA on all the chromosomes › Includes genes, intergenic sequences, repeats  Specifically, it is all the DNA in an organelle.  Eukaryotes can have 2-3 genomes › Nuclear genome › Mitochondrial genome › Plastid genome  If not specified, “genome” usually refers to the nuclear genome.
  • 3.  Genomics is the study of genomes, including large chromosomal segments containing many genes.  The initial phase of genomics aims to map and sequence an initial set of entire genomes.  Functional genomics aims to deduce information about the function of DNA sequences. › Should continue long after the initial genome sequences have been completed.
  • 4. Genomics-what is it?  Development and application of genetic mapping, sequencing, and computation (bioinformatics) to analyze the genomes of organisms. Sub-fields of genomics: 1. Structural genomics-genetic and physical mapping of genomes. 2. Functional genomics-analysis of gene function (and non-genes). 3. Comparative genomics-comparison of genomes across species.  Includes structural and functional genomics.  Evolutionary genomics.
  • 5.  22 autosome pairs + 2 sex chromosomes  3 billion base pairs in the haploid genome  Where and what are the 30,000 to 40,000 genes?  Is there anything else interesting/important? From NCBI web site, photo from T. Ried, Natl Human Genome Research Institute, NIH
  • 6.  Human genome has 3.2 billion base pairs of DNA  About 3% codes for proteins  About 40-50% is repetitive, made by (retro)transposition  What is the function of the remaining 50%?
  • 7.  Know (close to) all the genes in a genome, and the sequence of the proteins they encode.  BIOLOGY HAS BECOME A FINITE SCIENCE › Hypotheses have to conform to what is present, not what you could imagine could happen.  No longer look at just individual genes › Examine whole genomes or systems of genes
  • 8.  Genetics: study of inherited phenotypes  Genomics: study of genomes  Biochemistry: study of the chemistry of living organisms and/or cells  Revolution lauched by full genome sequencing › Many biological problems now have finite (albeit complex) solutions. › New era will see an even greater interaction among these three disciplines
  • 9.  Distinct components of genomes  Abundance and complexity of mRNA  Normalized cDNA libraries and ESTs  Genome sequences: gene numbers  Comparative genomics
  • 10.  Complex genomes have roughly 10x to 30x more DNA than is required to encode all the RNAs or proteins in the organism.  Contributors to the non-coding DNA include: › Introns in genes › Regulatory elements of genes › Multiple copies of genes, including pseudogenes › Intergenic sequences › Interspersed repeats
  • 11.  Highly repeated DNA › R (repetition frequency) >100,000 › Almost no information, low complexity  Moderately repeated DNA › 10<R<10,000 › Little information, moderate complexity  “Single copy” DNA › R=1 or 2 › Much information, high complexity
  • 12. • Genes were originally defined in terms of phenotypes of mutants • Now we have sequences of lots of DNA from a variety of organisms, so ... • Which portions of DNA actually do something? • What do they do? • code for protein or some other product? • regulate expression? • used in replication, etc?
  • 13.
  • 14.  Determining a 3D structure › X-ray crystallography  Structural elements  Modeling a 3D structure
  • 15. Primary Secondary Tertiary Quaternary Amino acid sequence. Alpha helices & Beta sheets, Loops. Arrangement of secondary elements in 3D space. Packing of several polypeptide chains. Given an amino acid sequence, we are interested in its secondary structures, and how they are arranged in higher structures. Protein Structures
  • 17. Ca or CA Ball-and-stick CPK • It’s often as important to decide what to omit as it is to decide what to include • What you omit depends on what you want to emphasize
  • 18.  Jmol › http://jmol.sourceforge.net  PyMOL › http://pymol.sourceforge.net  Swiss PDB viewer › http://www.expasy.ch/spdbv  Mage/KiNG › http://kinemage.biochem.duke.edu/software/mage.php › http://kinemage.biochem.duke.edu/software/king.php  Rasmol › http://www.umass.edu/microbio/rasmol/  Astex Viewer/Open Astex › http://openastexviewer.net/web/
  • 19.  EBI (PDBe) › Lots of hyperlinks out › Educational info (proteins of the month)  RCSB (PDB) › Lots of hyperlinks out › Educational info (proteins of the month)
  • 21. The last 15 years have witnessed an explosion in the number of known protein structures. How do we make sense of all this information? blue bars: yearly total red bars: cumulative total N=87,153 Non-redundant ~ 49,158
  • 22.
  • 23. Classification of Protein Structures The explosion of protein structures has led to the development of hierarchical systems for comparing and classifying them. Effective protein classification systems allow us to address several fundamental and important questions: If two proteins have similar structures, are they related by common ancestry, or did they converge on a common theme from two different starting points? How likely is that two proteins with similar structures have the same function? Put another way, if I have experimental knowledge of, or can somehow predict, a protein’s structure, I can fit into known classification systems. How much do I then know about that protein? Do I know what other proteins it is homologous to? Do I know what its function is?
  • 24.  “A polypeptide or part of a polypeptide chain that can independently fold into a stable tertiary structure...” from Introduction to Protein Structure, by Branden & Tooze  “Compact units within the folding pattern of a single chain that look as if they should have independent stability.” from Introduction to Protein Architecture, by Lesk  Thus, domains: • can be built from structural motifs; • independently folding elements; • functional units; • separable by proteases. Two domains of a bifunctional enzyme
  • 25.  Proteins often have a modular organization  Single polypeptide chain may be divisible into smaller independent units of tertiary structure called domains  Domains are the fundamental units of structure classification  Different domains in a protein are also often associated with different functions carried out by the protein, though some functions occur at the interface between domains 1 60 100 300 324 355 363 393 activation domain sequence-specific DNA binding domain tetramer- ization domain non-specific DNA-binding domain domain organization of P53 tumor suppressor
  • 26.  Not all proteins change at the same rate; Why?  Functional pressures › Surface residues are observed to change most frequently; › Interior less frequently;
  • 27. Many sequences can give same structure  Side chain pattern more important than sequence When homology is high (>50%), likely to have same structure and function (Structural Genomics)  Cores conserved  Surfaces and loops more variable *3-D shape more conserved than sequence* *There are a limited number of structural frameworks* W. Chazin © 2003
  • 28. Degree of Evolutionary Conservation Less conserved Information poor More conserved Information rich DNA seq Protein seq Structure Function ACAGTTACAC CGGCTATGTA CTATACTTTG HDSFKLPVMS KFDWEMFKPC GKFLDSGKLG S. Lovell © 2002
  • 29.  Proteins reflect millions of years of evolution.  Most proteins belong to large evolutionary families.  3D structure is better conserved than sequence during evolution.  Similarities between sequences or between structures may reveal information about shared biological functions of a protein family.
  • 30. How is a 3D structure determined ? 1. Experimental methods (Best approach): • X-rays crystallography - stable fold, good quality crystals. • NMR - stable fold, not suitable for large molecule. 2. In-silico methods (partial solutions - based on similarity): • Sequence or profile alignment - uses similar sequences, limited use of 3D information. • Threading - needs 3D structure, combinatorial complexity. • Ab-initio structure prediction - not always successful.
  • 31. X-ray X-rays Diffraction Pattern Direct detection of atom positions Crystals NMR RF RF Resonance H0 Indirect detection of H-H distances In solution
  • 32. • • Position Signal Resolving Power: The ability to see two points that are separated by a given distance as distinct Resolution of two points separated by a distance d requires radiation with a wavelength on the order of d or shorter: d wavelength Mark Rould © 2007 Resolving Power
  • 33. •Lenses require a difference in refractive index between the air and lens material in order to 'bend' and redirect light (or any other form of electromagnetic radiation.) •The refractive index for x-rays is almost exactly 1.00 for all materials. ∆ There are no lenses for xrays. nair nglass nair Mark Rould © 2007 X-ray Microscopes?
  • 34. Scattering = Fourier Transform of specimen Lens applies a second Fourier Transform to the scattered rays to give the image Mark Rould © 2007 Light Scattering and Lenses are Described by Fourier Transforms Since X-rays cannot be focused by lenses and refractive index of X-rays in all materials is very close to 1.0 how do we get an atomic image?
  • 35. Images by Kevin Cowtan http://www.yorvic.york.ac.uk/~cowtan The molecule The diffraction pattern
  • 36. Animal Magic Images by Kevin Cowtan http://www.yorvic.york.ac.uk/~cowtan The CAT (molecule) The diffraction pattern
  • 37. X-Ray Detector Computer Mark Rould © 2007 Solution: Measure Scattered Rays, Use Fourier Transform to Mimic Lens Transforms
  • 38. A single molecule is a very weak scatterer of X-rays. Most of the X-rays will pass through the molecule without being diffracted. Those rays which are diffracted are too weak to be detected. Solution: Analyzing diffraction from crystals instead of single molecules. A crystal is made of a three-dimensional repeat of ordered molecules (1014) whose signals reinforce each other. The resulting diffracted rays are strong enough to be detected. Sylvie Doublié © 2000 • 3D repeating lattice; • Unit cell is the smallest unit of the lattice; • Come in all shapes and sizes. Crystals come from slowly precipitating the biological molecule out of solution under conditions that will not damage or denature it (sometimes). A Crystal
  • 39. X-rays Computer Crystallographer Electron density map Model Scattered rays Detector Object Sylvie Doublié © 2000 Diffraction pattern is a collection of diffraction spots (reflections) Rubisco diffraction pattern
  • 40. 3-D view of macromolecules at near atomic resolution. The result of a successful structural project is a “structure” or model of the macromolecule in the crystal. You can assign: - secondary structure elements - position and conformation of side chains - position of ligands, inhibitors, metals etc. A model allows you: - to understand biochemical and genetic data (i.e., structural basis of functional changes in mutant or modified macromolecule). - generate hypotheses regarding the roles of particular residues or domains Sylvie Doublié © 2000
  • 41.  A structure is a “MODEL”!!  What does that mean? › It is someone’s interpretation of the primary data!!!
  • 42.
  • 43.  A comparison of gene numbers , gene locations & biological functions of gene, in the genomes of different organisms, one objective being to identify groups of genes that play a unique biological role in a particular organism.
  • 44.  Homology :- Relationship of any two characters ( such as two proteins that have similar sequences ) that have descended, usually through divergence, from a common ancestral character.  Homologues are thus components or characters (such as genes/proteins with similar sequences) that can be attributed to a common ancestor of the two organisms during evolution.
  • 45.  Orthologues are homologues that have evolved from a common ancestral gene by speciation. They usually have similar functions.  Paralogues are homologues that are related or produced by duplication within a genome followed by subsequent divergence. They often have different functions.  Xenologues are homologous that are related by an interspecies (horizontal transfer) of the genetic material for one of the homologues. The functions of the xenologues are quite often similar.
  • 46.  Analogues are non-homologues genes/proteins that have descended convergently from an unrelated ancestor. They have similar functions although they are unrelated in either sequence or structure.
  • 47. Comparative Genomics Two very large problems are immediately apparent in undertaking the sequencing of entire genomes. First, the vast numbers of species and the much larger size of some genomes makes the entire sequencing of all genomes a non-optimal approach for understanding genome structure. Second, within a given species most individuals are genetically distinct in a number of ways. What does it actually mean, for example, to "sequence a human genome"? The genomes of two individuals who are genetically distinct differ with respect to DNA sequence by definition. These two problems, and the potential for other novel applications, have given rise to new approaches which, taken together, constitute the field of comparative genomics.
  • 48. All modern genomes have arisen from common ancestral genomes, the relationships between genomes can be studied with this fact in mind. This commonality means that information gained in one organism can have application in other even distantly related organisms. Comparative genomics enables the application of information gained from facile model systems to agricultural and medical problems. The nature and significance of differences between genomes also provides a powerful tool for determining the relationship between genotype and phenotype through comparative genomics and morphological and physiological studies.