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The Human Genome Project

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The Human Genome Project. Celera. Celera. Genomics. Genomics. 2 001 First draft of the Human Genome. ( private sector ). (privát szektor). Craig. Craig. Venter. Venter. HGP (. HGP (. Human. Human. Genome. Genome. Project). Project). Francis. Francis. Collins. Collins. - PowerPoint PPT Presentation
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Rec DNA II. 1 The Human Genome Project
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Page 1: The Human Genome Project

Rec DNA II. 1

The Human Genome ProjectThe Human Genome Project

Page 2: The Human Genome Project

Rec DNA II. 2

2003 Completion of the Human Genome Programe

Start of the „post-genomic era”

2001 First draft of the Human Genome

HGP (Human Genome Project)

NCBI:NationalCenter of BiotechnologyInformation

Celera Genomics(privát szektor)Craig Venter

Francis CollinsHGP (Human Genome Project)

NCBI:NationalCenter of BiotechnologyInformation

Celera Genomics(private sector)Craig Venter

Francis Collins

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GTCCGGTCCC GGGACCCCCT GCCCAGGGTC AGAGGGGCGC CTACCTAGCT CACGGTCTTG

GGCCGGAGGG AATGGAGGAG GGAGCGGGGT CGACCGCTCA GCTGTCCGCC CAGTTTCGGA

GGCGGCCACG CGAGGATCAA CTGTGCAACG GGTGGGGCCG CGGCTGACCG TGGTGGTCGC

GGGGGCTGAG GGCCAGAGGC TGCGGGGGGG GGGCGGCGGG ATGAGCTAGG CGTCGGCGGT

TGAGTCGGGC GCGGAGTCGG GGGCAGGGGG AGCGGGCGTG GAGGGCGCGC ACGAGGTCGA

GGCGAGTCCG CGGGGGAGGC GGGCAGAGCC TGAGCTCAGG TCTTTCTGCG TCTGGCGGAA

CGGGCCTGGG AGGGAGGTTT TGCCAGATAC CAGGTGGACT AGGGTGAGCG CCCGAGGGCC

GGGACGCACG CACGGGCCGG GTAGGATGGC GCTGGCGTCG ATGCCCGCGC GCTTCAGGGC

CTGGTCTGGC CGCCCCTCCA TCCTTGTCGG TTTCTCGGGT CGCGGACCCC GCGCGGCGCC

GGGCGATGCT GGCCTGCCCG TGGCCACCAC CTCGCTTCAT TCCCGTCTCT TTGGGCCGCC

GCATTCGTCC ACGTGCCCGT CTCTCCCTGC GCAAAATTCC AAGATGAGCA AATACTGGGC

TCACGGTGGA GCGCCGCGGG GGCCCCCCTG AGCCGGGGCG GGTCGGGGGC GGGACCAGGG

TCCGGCCGGG GCGTGCCCGA GGGGAGGGAC TCCCCGGCTT GCGACCCGGC GTTGTCCGCG

J.Watson, 1st director of HGP

The Human Genome Project

‘clone by clone’ technique:- Parallel construction of genetic and physical maps- Representation of the genome in ordered libraries

The Human Genome Project

‘clone by clone’ technique:- Parallel construction of genetic and physical maps- Representation of the genome in ordered libraries

Page 4: The Human Genome Project

Rec DNA II. 4

Mapping strategies: Physical MapsMapping strategies: Physical Maps

Cytogenetic (chromosomal) maps - binding pattern

Cosmid contig maps ordered clones of overlapping libraries

Restriction mapssites of known restriction enzymes

DNA sequencesHigh

Low

resolution

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Rec DNA II. 5

1st aim:

Find 30,000 markers(in average distance of 150,000 bp)

Marker: a unique sequence

The ‘clone by clone’ technique

The ‘clone by clone’ technique

2nd aim:

- Isolate chromosomes - Cleave them with endonuclease(150,000 bp fragments) -Clone them (Bacterial Arteficial Chromosome, BAC clones)

Page 6: The Human Genome Project

Rec DNA II. 6

3rd aim:Map the BAC clones with restriction endonucleasePut them in order!

Ordered BAC libraries

The ‘clone by clone’ technique

The ‘clone by clone’ technique

Page 7: The Human Genome Project

Rec DNA II. 7

Sequence the ends:GCCGAATCCAATTAGAAAAT

TAGAAAATCACATTTACCAGTCTGA

CCAGTCTGACCCCGCAAACGGGTTT

150 000 bp (BAC)

1500 bp fragments(overlapping)

Align the sequences:

GCCGAATCCAATTAGAAAAT

TAGAAAATCACATTTACCAGTCTGA

CCAGTCTGACCCCGCAAACGGGTTT

Sequencing the BAC clonesSequencing the BAC clones

Page 8: The Human Genome Project

Rec DNA II. 8

Craig Venter

Celera: The „shotgun” methodsCelera: The „shotgun” methods

2000 bpand 10000 bp fragments

AAGGACTTATG____________________GGACACAGGTTATGG

GACTTA_____CGTTGGAGAGAGGACACA________________CGTTATATTG

Sequencing of the ends and aligning by computer:

Only physical maps

Page 9: The Human Genome Project

Rec DNA II. 9

Representation of the human genomeRepresentation of the human genome

1. Databases (‘in silico’)HGP: http://www.ncbi.nlm.nih.gov/Celera: http://www.celera.com/

2. A series of bacterial colonies (BAC libraries)

Page 10: The Human Genome Project

Rec DNA II. 10

The ENTREZ databaseThe ENTREZ database

http://www.ncbi.nlm.nih.gov/Entrez/

National Center of Biotechnology Institute, USASurfing on the Net

Page 11: The Human Genome Project

Rec DNA II. 11http://www.ncbi.nlm.nih.gov/mapview/

Search for Homo Sapiens, DRD4 (dopamine D4 receptor gene)Surfing on the Net

Page 12: The Human Genome Project

Rec DNA II. 12

http://www.ncbi.nlm.nih.gov/mapview/map_search.cgi?taxid=9606&query=DRD4

Internet sétaChromosomal localization of the DRD4 gene

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Rec DNA II. 13

http://www.ncbi.nlm.nih.gov/mapview/maps.cgi?taxid=9606&chr=11&MAPS=genec,ugHs,genes-r&cmd=focus&fill=40&query=uid(1641)&QSTR=DRD4

Internet séta

nagyítás

Search gene

sequence

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NCBI Entrez Gene

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Rec DNA II. 15

http://www.ncbi.nlm.nih.gov/entrez/dispomim.cgi?id=60521

Online Mendelian Inheritance in Man (OMIM)

OMIM: Database of mutations, diseases Known function of genes

OMIM: Database of mutations, diseases Known function of genes Internet séta

Review of the literature, references

Page 16: The Human Genome Project

Rec DNA II. 16http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=retrieve&dopt=default&list_uids=1815

Internet séta

Exon – intron structure

Exon (red box) – intron (red line) structure of a gene

Direction of transcription

Page 17: The Human Genome Project

Rec DNA II. 17

About 20,000 genes

The “useful information” of the genome The “useful information” of the genome

Less than 5% of the genome ???

45% of the human genomes are “jumping genes” (transposones)•LINEs

(long interspread elements): 6 kb, 8500 copies, 25% of our genomereplicates with reverse transcriptionmany truncated forms (inactive)

•SINEs (short interspred elements): 100-300 bp, 1,5 million copies 13% of our genome, replicates by using the SHINE machinery

Others• Duplicated human genes (pseudogenes)• Simple repeats (e.g.. AAAAAAAAAAAAAA….)

The ‘extra’ (‘junk’) DNA - Repeat sequencesThe ‘extra’ (‘junk’) DNA - Repeat sequences

Page 18: The Human Genome Project

Rec DNA II. 18

Universal Protein Resource (Swiss-Prot, TrEMBL, és PIR egyesítése)

http://www.expasy.uniprot.org/

http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=Protein&itool=toolbar

NCBI Entrez Protein database

Internet sétaProtein databasesProtein databases

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http://www.gene-regulation.com/pub/databases.html

http://www.gene-regulation.com/pub/databases.html#transcompel

http://www.cbil.upenn.edu/tess/

Databases of transcription factorsDatabases of transcription factors

2 transzkripciós faktor együtt

Internet séta

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The polymorphic nature of the human genome

The polymorphic nature of the human genome

Approx. 0.5% variations(15 million base pairs)

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Unrelated humans:

share - 99.9%(the difference is about

3 x 106 bp)

Mutations &Polimorphisms

GAGGGAGCGC

GAGGGAGCGCGAGGGAGCGC

GAGGGTGCGC

GAGGGTGCGC

GAGGGTGCGCHuman & apes:

share ~ 95%

“Similarity” in terms of gene sequence“Similarity” in terms of gene sequence

Page 22: The Human Genome Project

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GTCCGGTCCC GGGACCCCCT GCCCAGGGTC AGAGGGGCGC CTACCTAGCT CACGGTCTTG

GGCCGGAGGG AATGGAGGAG GGAGCGGGGT CGACCGCTCA GCTGTCCGCC CAGTTTCGGA

GGCGGCCACG CGAGGATCAA CTGTGCAACG GGTGGGGCCG CGGCTGACCG TGGTGGTCGC

GGGGGCTGAG GGCCAGAGGC TGCGGGGGGG GGGCGGCGGG ATGAGCTAGG CGTCGGCGGT

TGAGTCGGGC GCGGAGTCGG GGGCAGGGGG AGCGGGCGTG GAGGGCGCGC ACGAGGTCGA

GGCGAGTCCG CGGGGGAGGC GGGCAGAGCC TGAGCTCAGG TCTTTCTGCG TCTGGCGGAA

CGGGCCTGGG AGGGAGGTTT TGCCAGATAC CAGGTGGACT AGGGTGAGCG CCCGAGGGCC

GGGACGCACG CACGGGCCGG GTAGGATGGC GCTGGCGTCG ATGCCCGCGC GCTTCAGGGC

CTGGTCTGGC CGCCCCTCCA TCCTTGTCGG TTTCTCGGGT CGCGGACCCC GCGCGGCGCC

GGGCGATGCT GGCCTGCCCG TGGCCACCAC CTCGCTTCAT TCCCGTCTCT TTGGGCCGCC

GCATTCGTCC ACGTGCCCGT CTCTCCCTGC GCAAAATTCC AAGATGAGCA AATACTGGGC

TCACGGTGGA GCGCCGCGGG GGCCCCCCTG AGCCGGGGCG GGTCGGGGGC GGGACCAGGG

TCCGGCCGGG GCGTGCCCGA GGGGAGGGAC TCCCCGGCTT GCGACCCGGC GTTGTCCGCG

Mutations: rare allele variations - usually monogenic disorders(in less than 1% of the human population)

when the “misprint” is fatal

GAGGGCGCGC ACGAGGTCGA

TCTTTCTGCG TCTGGCGGAA

AGGGTGAGCG CCCGAGGGCC

ATGCCCGCGC GCTTCAGGGC

CGCGGACCCC GCGCGGCGCC

TCCCGTCTCT TTGGGCCGCC

AAGATGAGCA AATACTGGGC

GGTCGGGGGC GGGACCAGGG

CGACCCGGC GTTGTCCGCG

Azonosított monogénes öröklődésű

betegségekSickle cell anemia

Page 23: The Human Genome Project

Rec DNA II. 23

2 ismétlődés

3 ismétlődés

4 ismétlődés

5 ismétlődés

VNTR

G C A C T A C CC G T G A T G G

G C A T T A C CC G T A A T G G

SNP

… harmless misprints”

Genetic polimorphisms: variations over 1% frequency in humans

Single Nucleotide Polymorphism Variable Number of Tandem Repeats

Page 24: The Human Genome Project

Rec DNA II. 24

Single Nucleotide Polymorphisms/ SNPs (pronounced “snips”)

• 90% of the known variations• most SNPs have only two alleles

Polymorphism - MutationPolymorphism - Mutation

Polymorphism

Neutral ???Risk factors

more than 1%Frequency less than 1%

Effect disease

Mutation

Length Polymorphism: repeat sequences

Page 25: The Human Genome Project

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What is next?

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Rec DNA II. 26

What is next?

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“Human - ape genome: 95% similarityWhat is the difference?”

“Human - ape genome: 95% similarityWhat is the difference?”

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High throughput methodsin genome analyzes:Automated DNA sequencing

High throughput methodsin genome analyzes:Automated DNA sequencing

‘Color sequencing’

Based on dideoxy-chain termination (see also: Lehninger)

...3’ C A A G T C A C C T T G

C A A G

A ddA

Terminating positions

Sequencing reaction mixture: All the four dNTP All the four ddNTP with different fluorescent dyeDNA polymerase, primer

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Rec DNA II. 29

+

index

Sequencing results:

Page 30: The Human Genome Project

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DNA chip (oligonucleotide array) 1. Mutation analysis

DNA chip (oligonucleotide array) 1. Mutation analysis

50 µm

1.2 cm~ 60 000 position

One position:1 000 000molecules

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The oligonucleotide arrayThe oligonucleotide arrayExample: mutation analysis of a 4 000 bp gene (e.g. CFTR)

4000 bp length – 4000 oligo

4 variations in the middle base:12 000 oligo

1–202–213–22

...

Arrays of a 20 bp oligo

Page 32: The Human Genome Project

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sampleControl (no mutation)

Comparison with computer

The resultThe result

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DNA-chip 2: Expression Analysis by Micro-arraysDNA-chip 2: Expression Analysis by Micro-arrays


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