SLIDE 1 Information Storage and Processing in Biological Systems: A seminar course for the Natural Sciences
Biological Information, Sept 16 DNA, Gene regulation Sept 18 Translation and Proteins Sept 23 Enzymes and Signal transduction Sept 25 Simple Genetic Networks Sept 30 Biochemical Networks (Dr. Jacob) Oct 2
SLIDE 2 Sept 17.
Chapters 1-3 “The Thread of Life” S. Aldridge Cambridge University Press. 1996. “Genes & Signals” by Mark Ptashne and Alexander Gann. (2002) CSHL Press.
- 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
SLIDE 3
What is “biological information” and how is it “Stored” and Processed”?
M.C. Escher Spirals
SLIDE 4
What is “biological information”? Genetic
(DNA and RNA)
SLIDE 5
What is “biological information”? Genetic
(DNA and RNA)
Epigenetic
(DNA modification)
SLIDE 6
What is “biological information”? Genetic
(DNA and RNA)
Epigenetic
(DNA modification)
Non-Genetic Inheritance
(template dependent replication) paragenetic
SLIDE 7
Global patterning of organelles and cilia in Paramecium relies on paragenetic information and is template dependent. Another example is Mad Cow Disease
SLIDE 8
What is “biological information”? Genetic
(DNA and RNA)
Epigenetic
(DNA modification)
Non-Genetic Inheritance
(template dependent replication)
Physiological-Cellular Level (Structural/Metabolism/Signal Transduction)
SLIDE 9
Simplified Connectivity of Map of Metabolism
Each node represents a chemical in the cell (E. coli) Each connection represents an enzymatic step or steps
SLIDE 10
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)
SLIDE 11
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)
SLIDE 12
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 fl‡ populations )
SLIDE 13
The“Central Dogma” The central dogma relates to the flow of ‘genetic’ information in biological systems. DNA transcription mRNA translation Protein DNAÁËRNAËProtein
SLIDE 14
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.
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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 code Basic machinery for interpreting the code Major Differences: Organization of genes Organization 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
SLIDE 16
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).
SLIDE 17
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.
SLIDE 18
Example of single celled eukaryotic organisms
Morphological diversity (cytoskeleton as well as cell surface structures)
SLIDE 19
There are many distinct morphological cell types within a multicellular organism. Morphological diversity arises from cytoskeletal networks - architectural proteins
SLIDE 20
Some ‘Model’ Experimental Eukaryotic Organisms
Caenorhabditis elegans (round worm) Saccharomyces cerevisiae Drosophila melanogaster (fruit fly) mouse Antirrhinum majus (snapdragons ) Arabidopsis thaliana Zebrafish
SLIDE 21
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
SLIDE 22
Genotype
The genetic constitution of an organism.
Phenotype
The appearance or other characteristic of an organism resulting from the interaction of its genetic constitution with the environment.
SLIDE 23 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)
SLIDE 24
“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.
SLIDE 25 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?
SLIDE 26 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?
SLIDE 27 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.”
SLIDE 28
Genotype ‡ Phenotype
Can we understand the mechanisms and processes that shape the expression of genetic variation in phenotypes?
SLIDE 29
The Natural History of Dictyostelium discoideum
Adventures in Multicellularity The social amoeba (a.k.a. slime molds)
SLIDE 30
The Natural History of Dictyostelium discoideum
Adventures in Multicellularity The social amoeba (a.k.a. slime molds)
SLIDE 31
The Natural History of Dictyostelium discoideum
Adventures in Multicellularity The social amoeba (a.k.a. slime molds)
SLIDE 32
The Natural History of Dictyostelium discoideum
Adventures in Multicellularity The social amoeba (a.k.a. slime molds)