2 February, 2007 Life Science: Organisms. 2 February, 2007 Genomics “The genetic blueprints of all...

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2 February, 2007 Life Science: Organisms

Transcript of 2 February, 2007 Life Science: Organisms. 2 February, 2007 Genomics “The genetic blueprints of all...

Page 1: 2 February, 2007 Life Science: Organisms. 2 February, 2007 Genomics “The genetic blueprints of all people generally have the same information, with approximately.

2 February, 2007

Life Science: Organisms

Page 2: 2 February, 2007 Life Science: Organisms. 2 February, 2007 Genomics “The genetic blueprints of all people generally have the same information, with approximately.

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Genomics

“The genetic blueprints of all people generally have the same information, with approximately 99% of one human genome sequence being identical to all others. That makes the 1% of places in the genetic code that account for human variation very interesting…”

Momentum Winter 2006-2007, DNA Rubic “Some geneticists have calculated the differences in human and

chimpanzee DNA as just over 1%, some at 1.6%, and others at 1.8%.”

Momentum Winter 2006-2007, What we learn from Chimpanzees

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Genomics

Organism Genome size Number of genes

Human 3.2 Gb 25,000

Rat 2.7 Gb 25,000

Mouse 2.5 Gb 24,000

Dog 2.4 Gb 19,300

Puffer fish 390 Mb 25,000

Fruit fly 165 Mb 13,600

Arabidopsis (plant) 120 Mb 25,500

C elegans 97 Mb 19,000

Slime mold 34 Mb 12,500

Yeast 12 Mb 6,300

http://en.wikipedia.org/wiki/List_of_sequenced_eukaryotic_genomeshttp://www.ornl.gov/sci/techresources/Human_Genome/home.shtml

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Biological Systems

http://www.innerbody.com/htm/body.html

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Cell types

The human embryonic stem cells cultured have been observed to randomly differentiate in culture into a variety of different cell types, including (A) gut, (B) neural cells, (C) bone marrow cells, (D) cartilage, (E) muscle and (F) kidney cells.

www.news.wisc.edu/packages/

stemcells/3327.html

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A Cell

http://micro.magnet.fsu.edu/cells/animalcell.html

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They are all the same cells – They all have the same genetic material,The only difference is what is turned on and

what is silent.

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Central Dogma http://www.accessexcellence.org/RC/VL/GG/protein_synthesis.html

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DNA

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DNA

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RNA

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Central Dogma http://www.accessexcellence.org/RC/VL/GG/protein_synthesis.html

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Translation RNA to Protein

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Proteins

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Gene to Protein

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Sites of Regulation

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Sites of Regulation

DNAChromosome packing

Methylation

Transcription factor binding sites

ProteinPost-translational modification

Structural modifications, cleavage

Protein-protein interactions

Co-factors

RNACapping, Poly adenylation

Editing, splicing

Transport from nucleus

Promotors, Ribosome binding

MetabolitesCo-factor and substrate concentration

Transport

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How do we measure it?

presence, concentration, activation state, etc. of specific biological molecules.

How do we measure the variations?

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DNA

Sequencing Genomic library Genome sequencing PCR SNPs Linkage analysis

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Life Science

http://www.genomenewsnetwork.org/articles/06_00/sequence_primer.shtml

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Life Science

http://www.genomenewsnetwork.org/articles/06_00/sequence_primer.shtml

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2 February, 2007 http://mekentosj.com/4peaks/science.html

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Genomic Library

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Genome sequencing and Display

http://www.genomenewsnetwork.org/articles/06_00/sequence_primer.shtml

BAC-to-BAC method

whole genome shotgun sequencing

UCSC Genome Browser http://genome.ucsc.edu/

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Life Science

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Microarray

Probe hybridization

to DNA on chips

Probes bind to unique features on chips

Flourescent labels highlight bound probeshttp://www.affymetrix.com

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RNAi : RNA silencing

http://fig.cox.miami.edu/~cmallery/150/gene/how_siRNA_works.htm

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Life Science

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Proteomics: Mass Spectrometry

http://www.proteomesoftware.com/Proteome_software_ed_mass_spec.html

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Proteomics: Mass Spectrometry

http://www.academysavant.com/cmsp.htm

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Yeast 2 hybrid

used to measure

protein-protein

interactions.

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Life Science

Flow of information

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Life Science

Flow of information

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NCBI Derivative Sequence Data (Maureen J. Donlin, St. Louis University)

ATTGACTA

TTGACA

CGTGAAT

TGACTA

TATAGCCG

ACGTG

C

ACGTGC

ACGTGC

TTGACA

TTGACA

TTGACA

CGTGA

CGTGA

CGTGA

ATTGACTA

ATTGACTA ATTGACTA

ATTGACTA

TATAGCCG

TATAGCCG

TATAGCCG

TATAGCCG

GenBank

TATAGCCG TATAGCCGTATAGCCGTATAGCCG

ATGA

CATT

GAGA

ATT

ATTCC GAGA

ATTCC

GA

GA

ATTC GAGA

ATTC

GAGA

ATTCC GAGA

ATTCC

UniGene

RefSeq

GenomeAssembly

Labs

Curators

Algorithms

TATAGCCGAGCTCCGATACCGATGACAA