Information Storage and Processing in Biological Systems: A seminar - - PowerPoint PPT Presentation

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Information Storage and Processing in Biological Systems: A seminar - - PowerPoint PPT Presentation

Information Storage and Processing in Biological Systems: A seminar course for the Natural Sciences Sept. 11 Biological Information, Sept 16 DNA, Gene regulation Sept 18 Translation and Proteins Sept 23 Enzymes and Signal Transduction


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Information Storage and Processing in Biological Systems: A seminar course for the Natural Sciences

  • Sept. 11

Biological Information, Sept 16 DNA, Gene regulation Sept 18 Translation and Proteins Sept 23 Enzymes and Signal Transduction Sept 25 Biochemical Networks Sept 30 Simple Genetic Networks (Dr. Jacob) Oct 2 Evolution, Evolvability and Robustness Oct 5 Adventures in multicellularity

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SLIDE 2

Operon-Operator Gene Regulation Model

(Britten-Davidson)

  • J. Holland: Adaptation in Natural and Artificial Systems

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SLIDE 3

Genetic Networks

(genetic regulatory networks)

  • a group of genes connected through transcription regulators encoded

within the set of genes

gene X gene Y

  • perator X

Promoter X Promoter Y

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SLIDE 4

Genetic Networks

(genetic regulatory networks)

  • a group of genes connected through transcription regulators encoded

within the set of genes

gene X gene Y

X

  • perator X

Promoter X Promoter Y

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SLIDE 5

Genetic Networks

(genetic regulatory networks)

  • a group of genes connected through transcription regulators encoded

within the set of genes

gene X gene Y

X X Y

  • perator X

Promoter X

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SLIDE 6

Genetic Networks

(genetic regulatory networks)

gene X gene Y

X X Y X Y

By convention we simplify these diagrams as follows:

  • perator X

Promoter X

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SLIDE 7

Genetic Networks

(genetic regulatory networks)

X Y Y Z

Denotes positive regulation Denotes negative regulation

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SLIDE 8

A photomicrograph of three cells showing the flagella filaments. Each filament forms an extend helix several cell lengths long. The filament is attached to the cell surface through a flexible ‘universal joint’ called the hook. Each filament is rotated by a reversible rotary motor, the direction of the motor is regulated in response to changing environmental conditions.

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SLIDE 9

Rotationally averaged reconstruction of electron micrographs of purified hook-basal

  • bodies. The rings seen in the image and labeled in the schematic diagram (right)

are the L ring, P ring, MS ring, and C ring. (Digital print courtesy of David DeRosier, Brandeis University.)

The E. coli Flagellar Motor- a true rotary motor

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SLIDE 10

Regulation of flagella gene expression: A three tiered transcriptional hierarchy

  • 14 flagella operons
  • arranged in a regulatory cascade of three classes
  • Class 1 Operon / Gene:
  • encodes transcriptional activator of Class 2 operons
  • Class 2 Operons / Genes:
  • structural components of a rotary motor
  • transcriptional activator for Class 3 operons
  • Class 3 Operons / Genes:
  • flagellar filament structural genes
  • chemotaxis signal transduction system

Checkpoint mechanism ensures that Class 3 genes are not transcribed before functional basal body-hook structures are completed.

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SLIDE 11

Regulation of flagella gene expression: A three tiered transcriptional hierarchy

Positive transcriptional regulators Alternative sigma factors Anti-sigma factors Temporal regulation

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SLIDE 12

A D C B E

The “genetic network diagram” for the fla system

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SLIDE 13

flhCD fliA flgM fliL fliE fliF flgA flgB flhB n = 6 n = 6 fliD flgK fliC meche mocha flgM

Level 1 Level 3 Level 2 The “genetic network diagram” for the fla system

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SLIDE 14

The Flagella Transcription Hierarchy

  • 1. The Master Regulon

FlhCD

CRP,H-NS,OmpR

  • ther?

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SLIDE 15

The Flagella Transcription Hierarchy

  • 1. The Master Regulon
  • 2. The FlhCD Regulon

FlhCD FliA FlgM Basal Body and Hook

CRP,H-NS,OmpR

  • ther?
  • ther?
  • utside

inside

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SLIDE 16

The Flagella Transcription Hierarchy

  • 1. The Master Regulon
  • 2. The FlhCD Regulon
  • 3. The FliA Regulon

FlhCD FliA FlgM Basal Body and Hook Filament Chemotaxis proteins Motor proteins

CRP,H-NS,OmpR

  • ther?
  • ther?
  • utside

inside

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SLIDE 17

flhDC The flhDC promoter integrates inputs from multiple environmental signals ?

CRP - catabolite repression, carbohydrate metabolism OmpR - osmolarity IHF - growth state of cell? HdfR - ?

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SLIDE 18

FliA Regulation by FlgM

  • utside

inside

FlhDC expression leads to activation of Level 2 genes including the alternative sigma factor FliA and an anti sigma factor FlgM

Level 3 Genes FlgM accumulates in the cell and binds to FliA blocking its activity (i.e. interaction with RNA polymerase) preventing Level 3 gene expression.

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SLIDE 19

FliA Regulation by FlgM

  • utside

inside

Other level 2 genes required for Basal body and hook (BBH) assembly are made and begin to assemble in the membrane.

Level 3 Genes Basal Body and Hook Assembly

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SLIDE 20

FliA Regulation by FlgM

  • utside

inside

The Basal body and hook assembly are completed.

Level 3 Genes Completed Basal Body and Hook

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SLIDE 21

FliA Regulation by FlgM

  • utside

inside

The Basal body and hook assembly are completed.

Level 3 Genes Completed Basal Body and Hook FlgM is exported through the Basal Body and Hook Assembly

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SLIDE 22

FliA Regulation by FlgM

  • utside

inside

Level 3 gene expression is initiated.

Level 3 Genes Completed Basal Body and Hook FlgM is exported through the Basal Body and Hook Assembly.

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SLIDE 23

FliA Regulation by FlgM

  • utside

inside

Level 3 gene expression is initiated.

Level 3 Genes Completed Basal Body and Hook FliA can interact with RNA polymerase and activate Level 3 gene expression.

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SLIDE 24

FliA Regulation by FlgM

  • utside

inside

Filament

Level 3 gene products are added to the motility machinery including the (1) flagella filament, (2) motor proteins and (3) chemotaxis signal transduction system.

Motor proteins Chemotaxis proteins

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SLIDE 25

A D C B E

The “genetic network diagram” for the fla system

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SLIDE 26

flhCD fliA flgM fliL fliE fliF flgA flgB flhB n = 6 n = 6 fliD flgK fliC meche mocha flgM

Level 1 Level 3 Level 2 The “genetic network diagram” for the fla system

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Class 1 Class 2 Class 3

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SLIDE 27

How to Measure Gene Expression

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1- Gene Expression Profiling With Real Promoters Modeling Genetic Networks

  • from small defined systems to genome wide -

Small Defined Networks High Throughput / High Quality Expression Profiling Modeling, Simulation

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SLIDE 29

flhD flhC

flhDC promoter

Regulator

RNA polymerase

Using reporter genes to measure gene expression

Organization of operon on chromosome.

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SLIDE 30

flhD flhC

flhDC promoter

Regulator

RNA polymerase

Using reporter genes to measure gene expression

Organization of operon on chromosome. Reporter gene Clone a copy of the promoter into a reporter plasmid.

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SLIDE 31

flhD flhC Regulator

RNA polymerase

Using reporter genes to measure gene expression

Reporter gene Both the flhDC genes and the reporter plasmid are regulated in the same way and thus the level of the reporter indicates the activity of the promoter.

Note that the strain still has a normal copy of the genes.

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SLIDE 32

Gene Expression in Populations Gene Expression in Single Cells

Video microscopy

  • “individuality”
  • cell cycle regulation
  • epigenetic phenomenon

Multi-well plate reader

  • sensitive, fast reading
  • high-throughput screening
  • liquid cultures
  • colonies
  • mixed cultures

Automation: Both approaches are amenable to high throughput robotics

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SLIDE 33

Gene Expression in Single Cells: Cell to Cell Variability

Michael Elowitz, Rockefeller University

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SLIDE 34

Time [min] Fluorescence relative to max 0.01 0.1 0.6 C l a s s Operon 600

Fluorescence of flagella reporter strains as a function of time

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SLIDE 35

Cluster 1 Cluster 2 Cluster 3

Class 1 flhDC Class 2 fliL Class 2 fliE Class 2 fliF Class 2 flgA Class 2 flgB Class 2 flhB Class 2 fliA Class 3 fliD Class 3 flgK Class 3 fliC Class 3 meche Class 3 mocha Class 3 flgM

Early Late

Activator of class 3 Master regulator

The order of flagellar gene expression is the order of assembly

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Time [protein]

Simple Mechanism for Temporal Expression Within a Regulon

Induction of positive regulator

Promoters with decreasing affinity for regulator

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SLIDE 37

[protein]

Simple Mechanism for Temporal Expression Within a Regulon

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Using Expression Data to Define and Describe Regulatory Networks

With the flagella regulon, current algorithms can distinguish Level 2 and Level 3 genes based on subtleties in expression patterns not readily distinguished by visual inspection. Using our methods for expression profiling (sensitive, good time resolution) we have been able to demonstrate more subtle regulation than previously described. Different mechanisms can give rise to different patterns- in this case temporal patterns arise by transcription hierarchies (I.e. Level 1 ‡ Level 2 ‡ Level 3) and by differences in binding site affinities within a level. “You can not infer mechanism from pattern.”

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SLIDE 39

Methods such as the one described here or DNA microarrays can be used to measure expression of all the genes in a cell simultaneously. Reverse Engineering challenge – can we use expression data to infer genetic networks?

E A D B C F U Z W Y X V M N O

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