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Information Storage and Processing in Biological Systems:
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Transcript of Information Storage and Processing in Biological Systems:
Information Storage and Processing in Biological Systems:
A seminar course for the Natural Sciences
Sept 16 Introduction / DNA, Gene regulation
Sept 18 Translation and Proteins
Sept 23 Enzymes and Signal transduction
Sept 25 Biochemical Networks
Sept 30 Simple Genetic Networks
Oct 2 Adventures in Multicellularity
Nov 6 Evolution, Evolvability and Robustness
Chapters 1-3 “The Thread of Life” S. Aldridge Cambridge University Press. 1996.
“Genes & Signals” by Mark Ptashne and Alexander Gann. (2002) CSHL Press.
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From molecular to modular cell biology. (1999) L. H. Hartwell, J. J. Hopfield, S. Leibler and A. W. Murray. Nature 402 (SUPP): C47-C52.
It’s a noisy business! Genetic regulation at the nanomolar scale. H. Harley and A Arkin. Trends In Genetics February 1999, volume 15, No. 2
The challenges of in silico biology. (2000) B. Palsson. Nature Biotechnology 18: 1147-1150.
Reading List for Part 1
What is “biological information” and how is it “Stored” and Processed”?
M.C. Escher Spirals
What is “biological information”?
Genetic (DNA and RNA)
What is “biological information”?
Genetic (DNA and RNA)
Epigenetic (DNA modification)
What is “biological information”?
Genetic (DNA and RNA)
Epigenetic (DNA modification)
Non-Genetic Inheritance (template dependent replication)paragenetic
Global patterning of organelles and cilia in Paramecium relies on paragenetic information and is template dependent.
Another example is Mad Cow Disease
What is “biological information”?
Genetic (DNA and RNA)
Epigenetic (DNA modification)
Non-Genetic Inheritance (template dependent replication)
Physiological-Cellular Level (Structural/Metabolism/Signal Transduction)
Simplified Connectivity of Map of Metabolism
Each node represents a chemical in the cell (E. coli)Each connection represents an enzymatic step or steps
What is “biological information”?
Genetic (DNA and RNA)
Epigenetic (DNA modification)
Non-Genetic Inheritance (template dependent replication)
Physiological-Cellular Level (Structural/Metabolism/Signal Transduction)
Physiological- Organism Level(Structural/Metabolism/Signal Transduction,
Development, Immune System)
What is “biological information”?
Genetic (DNA and RNA)
Epigenetic (DNA modification)
Non-Genetic Inheritance (template dependent replication)
Physiological-Cellular Level (Structural/Metabolism/Signal Transduction)
Physiological- Organism Level(Structural/Metabolism/Signal Transduction,
Development, Immune System)
Populations (Population dynamics, Evolution)
What is “biological information”?
Genetic (DNA and RNA)
Epigenetic (DNA modification)
Non-Genetic Inheritance (template dependent replication)
Physiological-Cellular Level (Structural/Metabolism/Signal Transduction)
Physiological- Organism Level(Structural/Metabolism/Signal Transduction,
Development, Immune System)
Populations (Population dynamics, Evolution)
Ecosystem (Interacting Populations, environment populations )
The“Central Dogma”
The central dogma relates to the flow of ‘genetic’ information in biological systems.
DNA
transcription
mRNA
translation
Protein
DNARNAProtein
Overview of Biological Systems
Organization of the Tree of Life
Three evolutionary branches of life:Eubacteria, Archaebacteria, Eukaryotes
The macroscopic world represents a small portion of the tree.
The Eubacteria (bacteria), Archaebacteria (archae), and Eukaryotes represent three fundamental branches of life and represent two fundamental differences in organization of the cell.
Major Similarities:Genetic codeBasic machinery for interpreting the code
Major Differences:Organization of genesOrganization of the cell
sub-cellular organelles in Eukaryotes * cytoskeletal structure in Eukaryotes **
No true multicellular organization in bacteria and archae (there are many single celled eukaryotes). (debatable)
* compartmentalization of function
** morphologically distinct cell structure
Bacteria
Morphologically “simple” - shape defined by cell surface structure.
Transcription (reading the genetic message) and Translation (converting the genetic message into protein) are coupled- they take place within the same compartment (cytoplasm).
Compartmentalization of Function in eukaryotic cells
Transcription (reading the genetic message) and Translation (converting the genetic message into protein) occur in different compartments in the eukaryotic cell.
Example of single celled eukaryotic organisms
Morphological diversity (cytoskeleton as well as cell surface structures)
There are many distinct morphological cell types within a multicellular organism.
Morphological diversity arises from cytoskeletal networks - architectural proteins
Some ‘Model’ Experimental Eukaryotic Organisms
Caenorhabditis elegans (round worm)
Saccharomyces cerevisiae
Drosophila melanogaster (fruit fly)
mouse
Antirrhinum majus (snapdragons )Arabidopsis thalianaZebrafish
Bacteriophage (Phage) and Viruses
1) genetic material / nucleic acid 2) protective coat protein
The information for their own replication and the means to “target” the correct cell/host but no interpretive machinery
GenotypeThe genetic constitution of an organism.
PhenotypeThe appearance or other characteristic of an organism resulting from the interaction of its genetic constitution with the environment.
Constraints in Biological Systems
Chemical/Physical constraints• stability of biological material• reaction rates and diffusion rates
- properties of biochemical reactions (enzymes) differ from chemical reactions
• time dependency of many steps - time scales over many orders of magnitude for different steps
-receptor ligand binding msec-biochemical response sec-genetic response minutes- hours-days
• statistical properties of ‘small-scale” chemistry, i.e. where concentration of reacting molecules is low.
Evolutionary constraints• a biological system is constrained by it’s own evolutionary history (and also ‘biological’ history)
“Alarm clock” from the movie Brazil
Evolution of new functions is rarely de novo invention but is typically due to the modification of pre-existing functions/structures.
Modularity• Is the cell/organism designed in a modular fashion?
• Can we approximate cell behavior into modules?
• Can interactions of cells, individuals, organisms be treated in a similar way?
Coarse graining• At what level of detail do we need to study/model a system to extract information about the underlying mechanisms?
• What level of detail is required to define the “state” of the cell, the individual, the population and ecosystem…?
• Can we define the “state” of the cell or only “states” of modules?
Stochastic variations and Individuality
• What is the source of stochastic variation (independent of genetic variation)?
• In genetically identical populations, does this play a role in adaptation?
• What role do stochastic processes play in development?
Robustness
• Despite stochastic variations, many cellular processes are extremely robust (genetic networks, biochemical networks, cell divisions, development,…)
• How does the cell overcome the limitations imposed by stochastic variations?
• Where does robustness arise? Is it a network property?
Redundancy
- Many biological processes are duplicated so that the same function is present in multiple elements. Mutations (changes in genotype) may have no apparent phenotype or one that is less severe than expected. - Many biological systems are degenerate, they can occur by alternative pathways.
Complexity
“the whole is greater than the sum of its parts.”
Genotype Phenotype
Can we understand the mechanisms and processes that shape the expression of genetic variation in phenotypes?
The Natural History of Dictyostelium discoideum
Adventures in MulticellularityThe social amoeba (a.k.a. slime molds)
The Natural History of Dictyostelium discoideum
Adventures in MulticellularityThe social amoeba (a.k.a. slime molds)
The Natural History of Dictyostelium discoideum
Adventures in MulticellularityThe social amoeba (a.k.a. slime molds)
DNA Basics
Four bases A - adenineT - thymineC - cytosineG - guanine
anti- parallel double stranded structure with specific bonding between the two strands:
A T base pairingC G base pairing
DNA Structure
A - TC - GG - CA - TT - AG - CG - CG - CT - A
• DNA is composed of two strands
• Each strand is composed of a sugar phosphate backbone with one of four bases attached to each sugar
•The arrangement of bases along a strand is aperiodic
• The two strands are arranged anti-parallel
• There is base specific pairing between the strands such that A pairs with T and C with G, consequently knowing the sequence of one strand gives us the sequence of the opposite strand.
Chemical Structure of DNA The Double Helix
DNA Replication• Template copying• Semi-conservative
A - TC - GG - CA - TT - AG - CG - CG - CT - A
ACGATGGGT - A
A - TC - GG - CA - TT - AG - CG - CG - CT - A
A - TC - GG - CA - TT - AG - CG - CG - CT - A
A - T G C T A C C C A
The Genetic Code – Triplet Code
- directional (always read 5’ 3’)- each triplet of bases codes one amino acid (Codon)- degenerate (many AA have more than one codon)
For a given sequence there are three possible reading frames
DNA contains information about the start and end of the gene as well as when to make or if to make transcribe the information.
DNA as an information molecule
• DNA sequence itself
• DNA sequence as a code of protein (sequence/properties of the protein)
• DNA sequence as controlling elements and recognition sites for cellular machinery
• DNA secondary structure and chemical modifications (e.g. methylation)
• genetic networks from multiple controlling elements and recognition sites with multiple genes and feedback and or feedforward systems
5001 CATAAACCGG GGTTAATTTA AATACTGGAA CCGCTTACCA ATAAGACTAA GTATTTGGCC CCAATTAAAT TTATGACCTT GGCGAATGGT TATTCTGATT -2 end of luxS ***I ? gene start +1 MetGlnPhe LeuGlnPhe PhePheArgGln ArgGlnLeu PheIleAla 5051 ATATGCAATT CCTGCAGTTT TTCTTTCGGC AGCGCCAGCT CTTTATTGCT TATACGTTAA GGACGTCAAA AAGAAAGCCG TCGCGGTCGA GAAATAACGA -2 leHisLeuGlu GlnLeuLys GluLysProLeu AlaLeuGlu LysAsnSer
+1 hrProAspArg ArgArgLeu HisProGlyMet IleAspCys GluAlaIle 5501 CCCCGGACCG CCGGCGCTTG CATCCGGGTA TGATCGACTG CGAAGCTATC GGGGCCTGGC GGCCGCGAAC GTAGGCCCAT ACTAGCTGAC GCTTCGATAG -2 lyArgValAla ProAlaGln MetArgThrHis AspValAla PheSerAsp
+1 *** end of ? gene 5551 TAATAATGGC ATTTAGTCAC CTCCGATAAT TTTTTAAAAA TAAACTGAAC ATTATTACCG TAAATCAGTG GAGGCTATTA AAAAATTTTT ATTTGACTTG -2 LeuLeuProMet luxS start
5’---CTCAGCGTTACCAT---3’3’---GAGTCGCAATGGTA---5’
5’---CUCAGCGUUACCAU---3’
N---Leu-Ser-Val-Thr---C
DNA
RNA
PROTEIN
Transcription
Translation
1) DNA has sequence information which is TRANSCRIBED into RNA (i.e. it is a template) and TRANSLATED from RNA into protein (Genetic Code).
Two ways of thinking about “information” in DNA
• In RNA T’s are replaced by U’s• Some gene products are RNA, i.e. they are not translated (e.g. tRNA, rRNA)
2) DNA has sequence information at a structural level. This form of information directs the ‘interpretative machinery’ in the cell (protein complexes), in most instances binding sites for proteins. This type of ‘information’ is important for example in determining where (along a sequence of DNA) and when a gene may be turned on, initiation of DNA replication, packaging of DNA etc…
i.e - Regulation
Two ways of thinking about “information” in DNA
2’holoenzymefactor
-35 -10
start
The Basic Transcription Components (Bacterial)
Promoter - binding site for RNA polymerase, defines where the process will begin.
RNA Polymerase
DNA
TranscriptionMachinery
Promoter Binding
Open Complex Formation
Promoter Clearance
-35 -10
Messenger RNA (mRNA)
Transcriptional Regulators are proteins that act to modulate gene expression.
Proteins that negatively regulate expression (i.e decrease transcription) are called Repressors and those that act positively (i.e. increase transcription of a gene) are called Activators.
These proteins act by binding at specific DNA sites are modulate RNA polymerase function. These binding sites are called operators.
Regulation of Gene Expression: The Basics
-35 -10
start
promoteroperator
-35 -10
startX
Repression can be viewed as a competition for binding between the polymerase and the repressor (an oversimplification).
Repressor
-35 -10
start
promoteroperator
An Activator promotes RNA polymerase biding activity through direct protein-protein interactions (an oversimplification).
Activator
• Any DNA binding protein, with an appropriately placed binding site can act as a repressor. Activation requires specific protein-protein interaction between the activator and RNA polymerase.
• Typically bacterial promoters are regulated by a few proteins at most and the control regions tend to be quite small.
• Eukaryotic gene regulatory regions can be very large and involve many transcriptional regulators.
• Activation and repression depend on positioning of operator sites.
• Multiple inputs can be integrated at the level of gene expression.
The interaction of a DNA-Binding Protein (such as RNA Polymerase or transcriptional regulators) is dependent on the ‘affinity’ of the protein for the binding site. This affinity will vary under different physiological conditions, as the concentration of the protein changes and also will depend on the binding site itself.
The optimal binding site is usually close to the consensus sequence for that site obtain by aligning all the know binding sites. On can thus have a range of ‘activity’ at different promoters/operators by having differences in DNA binding sites.
Consensus Binding Sites
E. coli Promoters -35 box -10 box
Consensus TTGACA- N17- TATAAT
Examples: TTGATA- N16- TATAATTTCCAA- N17- TATACTTGTACA- N19- CATAATTTGATC- N17- TACTATTTGACA- N17- TAGCTT
“Activity” of Transcriptional Regulators in Response to ‘Signals’
Case 1. Affinity of the protein for DNA may be modified by binding a ‘ligand’ (Allosteric mechanism). Case 2. Affinity of the protein may be affected by covalent modification such as phosphorylation.
Both of these mechanisms (ligand binding and post-translational modification) are common themes in the regulation of proteins, not just in transcription control.
DNA
R R-DNA x DNA
Rx Rx-DNA
DNA
Regulation of Gene Expression
DNA
RNA polymerase bindingOpen Complex Formation Transcription
mRNAmRNA stabilityTranslation
Protein Polypeptide foldingProtein stability
Both positive and negative regulation can occur at any step in this process.
General Principles of Regulation of Gene Expression
- Regulation occurs through recruitment or preventing recruitment of transcription machinery.
-Repressors typically prevent recruitment of polymerase-Activators increase recruitment of polymerase
- Multiple inputs from different transcription factors (TFs) can be integrated or compete.
-Protein-DNA interactions (TF, RNAP) can have different affinities, ie can act differently at different promoters at the same level of activity.
Eukaryotic Gene Expression
- the same principles but added complexity
Eukaryotic Gene Expression
- the same principles but added complexity
“simple’ RNA polymerase replaced by a large transcription complex (As many as 50 proteins)
Eukaryotic Gene Expression
- the same principles but added complexity
Relatively compact regulatory regions in bacteria are spread over larger regions, more transcription factors
- more inputs /signal integrations.
O1O3 O2CAP
e.g. E. coli lac , ~250 bp, 2 inputs
Drosophila eve stripe 2 enhancer, >1000bp, multiple TFs
Eukaryotic Gene Expression
- the same principles but added complexity
The added regulatory components increases the potential complexity of gene regulation in eukaryotic cells.
Organism complexity number of genes
Organism complexity regulatory elements
Organism # of genesMycoplasma genetalium 750
Escherichia coli 5000
Pseudomonas aeruginosa 6000
Saccharomyces cerevisiae 6000
Caenorhabditis elegans 19,000
Drosophila melanogaster 15,000
Homo sapiens (man) 40,000