BNFO 615 Data Analysis in

Bioinformatics

Instructor

Zhi Wei

Outline

Cell

Genome

Gene mRNA

Proteins

Systems biology

Outline

Cell

Genome

Gene mRNA

Proteins

Systems biology

Cells

Fundamental working units of every living system.

Every organism is composed of one of two radically different types of cells: prokaryotic cells or eukaryotic cells.

Prokaryotes and Eukaryotes are descended from the same primitive cell.

All extant prokaryotic and eukaryotic cells are the result of a total of 3.5 billion years of evolution.

Prokaryotes v.s. Eukaryotes

Different Structures

Different Components

Different biological processes

Prokaryotes vs Eukaryotes

Prokaryotes

Single cell

No nucleus

No organelles

Eukaryotes

Single or multi cell

Nucleus

Organelles

One piece of circular DNA Chromosomes

No mRNA post transcriptional modification

Exons/Introns splicing

Prokaryotes v.s. Eukaryotes

Prokaryotes

 bacteria, archaea

Ecoli cell

5X10 6 base pairs

> 90% of DNA encode protein

5400 genes

Lacks a membrane-bound nucleus.

Circular DNA

Histones are unknown

Eukaryotes

 plants, animals, protista, and fungi

Yeast cell

12.4x10

6 base pairs

A small fraction of the total DNA encodes protein. Many repeats of non-coding sequences

5800 genes

All chromosomes are contained in a membrane bound nucleus

DNA is divided between 16 chromosomes

A set of five histones: DNA packaging and gene expression regulation

Cells chemical composition

Chemical composition -by weight

70% water

7% small molecules

 salts

Lipids amino acids nucleotides

23% macromolecules

Proteins

Polysaccharides lipids

We have different cells

 Cells differ in size, shape and weights

 Q: what is the biggest cell in the human body?

Cell Cycle

Born, eat, replicate , and die

Lodish et al. Molecular Biology of the Cell (5 th ed.). W.H. Freeman & Co., 2003.

Sexual Reproduction v.s. Cell Division

Cell Division: Cells reproduce by duplicating their contents and dividing in two.

Sexual Reproduction

Formation of new individual by a combination of two haploid sex cells (gametes).

Gametes for fertilization usually come from separate parents

Both gametes are haploid, with a single set of chromosomes. The new individual is called a zygote, with two sets of chromosomes (diploid).

Meiosis is a process to convert a diploid cell to a haploid gamete, and cause a change in the genetic information to increase diversity in the offspring.

Meiosis v.s.

Mitotic cell division

Outline

Cell

Genome

Gene mRNA

Proteins

Systems biology

Genome

A genome is an organism ’ s complete set of DNA (including its genes).

However, in humans less than

3% of the genome actually encodes for genes.

A part of the rest of the genome serves as a control regions (though that ’ s also a small part)

The function of the rest of the genome is unknown (junk DNA?

An open question).

Comparison of Different Organisms

E. Coli

Yeast

Worm

Fly

Human

Plant

Genome size (bp) Num. of genes

.05*10 8

.12*10 8

.15*10 8

5,400

5,800

18,400

1.8*10 8

30*10 8

1.3*10 8

13,600

25,000

25,000

Outline

Cell

Genome

Gene mRNA

Proteins

Systems biology

What is a gene?

Promoter Protein coding sequence Terminator

Genomic DNA

DNA: Deoxyribo Nucleic Acid

Example of a Gene: Gal4 DNA

ATGAAGCTACTGTCTTCTATCGAACAAGCATGCGATATTTGCCGACTTAAAAAGCTCAAG

TGCTCCAAAGAAAAACCGAAGTGCGCCAAGTGTCTGAAGAACAACTGGGAGTGTCGCTAC

TCTCCCAAAACCAAAAGGTCTCCGCTGACTAGGGCACATCTGACAGAAGTGGAATCAAGG

CTAGAAAGACTGGAACAGCTATTTCTACTGATTTTTCCTCGAGAAGACCTTGACATGATT

TTGAAAATGGATTCTTTACAGGATATAAAAGCATTGTTAACAGGATTATTTGTACAAGAT

AATGTGAATAAAGATGCCGTCACAGATAGATTGGCTTCAGTGGAGACTGATATGCCTCTA

ACATTGAGACAGCATAGAATAAGTGCGACATCATCATCGGAAGAGAGTAGTAACAAAGGT

CAAAGACAGTTGACTGTATCGATTGACTCGGCAGCTCATCATGATAACTCCACAATTCCG

TTGGATTTTATGCCCAGGGATGCTCTTCATGGATTTGATTGGTCTGAAGAGGATGACATG

TCGGATGGCTTGCCCTTCCTGAAAACGGACCCCAACAATAATGGGTTCTTTGGCGACGGT

TCTCTCTTATGTATTCTTCGATCTATTGGCTTTAAACCGGAAAATTACACGAACTCTAAC

GTTAACAGGCTCCCGACCATGATTACGGATAGATACACGTTGGCTTCTAGATCCACAACA

TCCCGTTTACTTCAAAGTTATCTCAATAATTTTCACCCCTACTGCCCTATCGTGCACTCA

CCGACGCTAATGATGTTGTATAATAACCAGATTGAAATCGCGTCGAAGGATCAATGGCAA

ATCCTTTTTAACTGCATATTAGCCATTGGAGCCTGGTGTATAGAGGGGGAATCTACTGAT

ATAGATGTTTTTTACTATCAAAATGCTAAATCTCATTTGACGAGCAAGGTCTTCGAGTCA

A sequence of A,C,G,T

Example of a Gene: Gal4 AA

MKLLSSIEQACDICRLKKLKCSKEKPKCAKCLKNNWECRYSPKTKRSPLTRAHLTEVESR

LERLEQLFLLIFPREDLDMILKMDSLQDIKALLTGLFVQDNVNKDAVTDRLASVETDMPL

TLRQHRISATSSSEESSNKGQRQLTVSIDSAAHHDNSTIPLDFMPRDALHGFDWSEEDDM

SDGLPFLKTDPNNNGFFGDGSLLCILRSIGFKPENYTNSNVNRLPTMITDRYTLASRSTT

SRLLQSYLNNFHPYCPIVHSPTLMMLYNNQIEIASKDQWQILFNCILAIGAWCIEGESTD

IDVFYYQNAKSHLTSKVFESGSIILVTALHLLSRYTQWRQKTNTSYNFHSFSIRMAISLG

LNRDLPSSFSDSSILEQRRRIWWSVYSWEIQLSLLYGRSIQLSQNTISFPSSVDDVQRTT

TGPTIYHGIIETARLLQVFTKIYELDKTVTAEKSPICAKKCLMICNEIEEVSRQAPKFLQ

MDISTTALTNLLKEHPWLSFTRFELKWKQLSLIIYVLRDFFTNFTQKKSQLEQDQNDHQS

YEVKRCSIMLSDAAQRTVMSVSSYMDNHNVTPYFAWNCSYYLFNAVLVPIKTLLSNSKSN

AENNETAQLLQQINTVLMLLKKLATFKIQTCEKYIQVLEEVCAPFLLSQCAIPLPHISYN

NSNGSAIKNIVGSATIAQYPTLPEENVNNISVKYVSPGSVGPSPVPLKSGASFSDLVKLL

SNRPPSRNSPVTIPRSTPSHRSVTPFLGQQQQLQSLVPLTPSALFGGANFNQSGNIADSS

A sequence of 20 amino acids {A,R,N,D,C,E,Q,G,H,I,L,K,M,F,P,S,T,W,Y,V}

The Central Dogma

DNA

RNA: Gene Transcription

promoter

G A T T A C A . . .

5’

3’

3’

5’

C T A A T G T . . .

Gene Transcription

transcription factor, binding site, RNA polymerase

G A T T A C A . . .

5’

3’

C T A A T G T . . .

3’

5’

Transcription factors recognize transcription factor binding sites and bind to them, forming a complex.

RNA polymerase binds the complex.

Gene Transcription

5’

3’

The two strands are separated

3’

5’

Gene Transcription

5’

3’

3’

5’

An RNA copy of the 5’ → 3’ sequence is created from the 3’ → 5’ template

Gene Transcription

5’

3’

G A T T A C A . . .

C T A A T G T . . .

pre-mRNA 5’

G A U U A C A . . .

3’

3’

5’

RNA Processing (Eukaryotes)

5’ cap, polyadenylation, exon, intron, splicing, UTR

5’ cap intron mRNA

5’ UTR exon

3’ UTR poly(A) tail

Mammalian Gene Structure

introns

5’ 3’ promoter

5’ UTR exons 3’ UTR coding non-coding

Regulatory regions: up to 50 kb upstream of +1 site

Exons: protein coding and untranslated regions (UTR)

Introns:

1 to 178 exons per gene (mean 8.8)

8 bp to 17 kb per exon (mean 145 bp) splice acceptor (GU) and donor (AG) sites, junk DNA average 1 kb – 50 kb per intron

Gene size: Largest – 2.4 Mb (Dystrophin). Mean – 27 kb.

Only 1.5% DNA for coding in Human!

Identifying Genes in Sequence Data

Predicting the start and end of genes as well as the introns and exons in each gene is one of the basic problems in computational biology.

Gene prediction methods look for ORFs (Open

Reading Frame).

These are (relatively long) DNA segments that start with the start codon, end with one of the end codons, and do not contain any other end codon in between.

Splice site prediction has received a lot of attention in the literature.

Comparative genomics

Outline

Cell

Genome

Gene mRNA

Proteins

Systems biology

RNA

RNA is similar to DNA chemically. It is usually only a single strand. T(hyamine) is replaced by

U(racil)

Some forms of RNA can form secondary structures by “ pairing up ” with itself. This can have change its properties dramatically.

DNA and RNA can pair with each other.

tRNA linear and 3D view: http://www.cgl.ucsf.edu/home/glasfeld/tutorial/trna/trna.gif

RNA, continued

Several types exist, classified by function mRNA – this is what is usually being referred to when a Bioinformatician says

“ RNA ” . This is used to carry a gene ’ s m essage out of the nucleus.

tRNA – t ransfers genetic information from mRNA to an amino acid sequence rRNA – r ibosomal RNA. Part of the ribosome which is involved in translation.

Messenger RNA

Basically, an intermediate product

Transcribed from the genome and translated into protein

Number of copies correlates well with number of proteins for the gene.

Unlike DNA, the amount of messenger

RNA (as well as the number of proteins) differs between different cell types and under different conditions.

Complementary base-pairing

 mRNA is transcribed from the DNA mRNA (like DNA, but unlike proteins) binds to its complement

Quantify mRNA levels

Outline

Cell

Genome

Gene mRNA

Proteins

Systems biology

Proteins: Workhorses of the Cell

Proteins are polypeptide chains of amino acids.

20 different amino acids

 different chemical properties cause the protein chains to fold up into specific three-dimensional structures that define their particular functions in the cell.

Proteins do all essential work for the cell

 build cellular structures

 digest nutrients execute metabolic functions

Mediate information flow within a cell and among cellular communities.

Genes Make Proteins

 genome-> genes ->protein(forms cellular structural & life functional)->pathways & physiology

Genes Encode for Proteins

Second letter

U

C

A

G

U

UUU Phenylalanine (Phe)

UUC Phe

UUA Leucine (Leu)

UUG Leu

CUU Leucine (Leu)

CUC Leu

CUA Leu

CUG Leu

AUU Isoleucine (Ile)

AUC Ile

AUA Ile

AUG Methionine (Met) or START

GUU Valine (Val)

GUC Val

GUA Val

GUG Val

C

UCU Serine (Ser)

UCC Ser

UCA Ser

UCG Ser

CCU Proline (Pro)

CCC Pro

CCA Pro

CCG Pro

ACU Threonine (Thr)

ACC Thr

ACA Thr

ACG Thr

GCU Alanine (Ala)

GCC Ala

GCA Ala

GCG Ala

A

UAU Tyrosine (Tyr)

UAC Tyr

UAA STOP

UAG STOP

CAU Histidine (His)

CAC His

CAA Glutamine (Gln)

CAG Gln

AAU Asparagine (Asn)

AAC Asn

AAA Lysine (Lys)

AAG Lys

GAU Aspartic acid (Asp)

GAC Asp

GAA Glutamic acid (Glu)

GAG Glu

Triplet  one Amino Acid

4^3 combinations mapped to 20 Amino Acids

G

UGU Cysteine (Cys)

UGC Cys

UGA STOP

UGG Tryptophan (Trp)

CGU Arginine (Arg)

CGC Arg

CGA Arg

CGG Arg

AGU Serine (Ser)

AGC Ser

AGA Arginine (Arg)

AGG Arg

GGU Glycine (Gly)

GGC Gly

GGA Gly

GGG Gly

C

A

G

C

A

G

U

U

C

A

G

U

C

A

G

U

Open Reading Frames

G C U U G U U U A C G A A U U A G

G C U U G U U U A C G A A U U A G

G C U U G U U U A C G A A U U A G

G C U U G U U U A C G A A U U A G

Synonymous Mutation

G

G C U U G U U U A C G A A U U A G

G C U U G U U U A C G A A U U A G

Ala Cys Leu Arg Ile

G C U U G U U U G C G A A U U A G

Ala Cys Leu Arg Ile

Missense Mutation

G

G C U U G U U U A C G A A U U A G

G C U U G U U U A C G A A U U A G

Ala Cys Leu Arg Ile

G C U U G G U U A C G A A U U A G

Ala Trp Leu Arg Ile

Nonsense Mutation

A

G C U U G U U U A C G A A U U A G

G C U U G U U U A C G A A U U A G

Ala Cys Leu Arg Ile

G C U U G A U U A C G A A U U A G

Ala STOP

Frameshift

G C U U G U U U A C G A A U U A G

G C U U G U U U A C G A A U U A G

Ala Cys Leu Arg Ile

G C U U G U U A C G A A U U A G

Ala Cys Tyr Glu Leu

Protein Structure

Proteins work together with other proteins or nucleic acids as "molecular machines"

 structures fit together and function in highly specific, lock-and-key ways.

Four levels of structure:

Primary Structure: The sequence of the protein

Secondary structure: Local structure in regions of the chain. (alpha helix, beta sheet)

Tertiary Structure: Three dimensional structure

Quaternary Structure: multiple subunits

Assigning Function to Proteins

While 25000 genes have been identified in the human genome, relatively few have known functional annotation.

Determining the function of the protein can be done in several ways.

Sequence similarity to other (known) proteins

Using domain information

Using three dimensional structure

Based on high throughput experiments (when does it functions and who it interacts with)

Summary: DNA(Gene)

RNA

Protein

Replication

Transcription Translation

Outline

Cell

Genome

Gene mRNA

Proteins

Systems biology

Biological pathway/gene networks

Instead of having brains, cells make decision through complex networks of interactions, called pathways

Synthesize new materials

Break other materials down for spare parts

Signal to eat or die

In order to fulfill their function, proteins interact with other proteins in a number of ways including:

Regulation

Signaling Pathways, for example A -> B -> C

Post translational modifications

Forming protein complexes

An Example

Systems Biology

We now have many sources of data, each providing a different view on the activity in the cell

Sequence (genes)

DNA motifs

Gene expression

Protein interactions

Protein-DNA interaction

Etc.

Putting it all together: Systems Biology

Next week

Introduction to R programming

You need to do in-class exercises

Acknowledgments

Ziv Bar-Joseph: for some of the slides adapted or modified from his lecture slides at Carnegie Mellon University

Neil Jones: for some of the slides adapted or modified from his slides for the book An

Introduction to Bioinformatics Algorithms