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Page 1: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

cell communication

Page 2: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

introduction molecular biology biotechnology bioMEMS bioinformatics bio-modeling cells and e-cells transcription and regulation cell communication neural networks dna computing fractals and patterns the birds and the bees ….. and ants

course layout

Page 3: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

introduction

Page 4: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

cell communication

Page 5: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

what is signal transduction?

Conversion of a signal from one physical or chemical form into another.

In cell biology, it commonly refers to the sequential process initiated by binding of an extracellular signal to a receptor and culminating in one or more specific cellular responses.

Page 6: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

what is a signal transduction pathway?

Chemical signals are converted from one type of signal into another to elicit a molecular response from the organism. All organisms require signaling pathways to live.

Letters represent chemicals or proteins. Arrows represent enzymatic steps.

ABCDEFG

Page 7: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

what is a second messenger?

An intracellular signaling molecule whose concentration increases (or decreases) in response to binding of an extracellular ligand to a cell-surface receptor.

Page 8: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

cell signaling

How do cells receive and respond to signals from their surroundings?

Prokaryotes and unicellular eukaryotes are largely independent and autonomous.

In multi-cellular organisms there is a variety of signaling molecules that are secreted or expressed on the cell surface of one cell and bind to receptors expressed by other cells. These molecules integrate and coordinate the functions of the cells that make up the organism.

Page 9: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

modes of cell-cell signaling

Direct cell-cell or cell-matrix

Secreted molecules. Endocrine signaling. The signaling molecules are hormones se

creted by endocrine cells and carried through the circulation system to act on target cells at distant body sites.

Paracrine signaling. The signaling molecules released by one cell act on neighboring target cells (neurotransmitters).

Autocrine signaling. Cells respond to signaling molecules that they themselves produce (response of the immune system to foreign antigens and cancer cells).

Page 10: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

steroid hormones

This class of molecules diffuse across the plasma membrane and binds to Receptors in the cytoplasm or nucleus. The y are all synthesized from cholesterol.

They include sex steroids (estrogen, progesterone, testosterone) corticosteroids (glucocorticoids and mineralcorticoids) Thyroid hormone, vitamin D3, and retinoic acid have different structure and function but share the same mechanism of action with the other steroids.

Steroid Receptor Superfamily. They are transcription factors that function either as activators or repressors of transcription.

Page 11: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

steroid hormones

Page 12: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

seven levels of regulation of cell growth

Page 13: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

pathways are inter-linked

Signalling pathway

Geneticnetwork

Metabolic pathway

STIMULUS

Page 14: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

metabolic pathways

1993 Boehringer Mannheim GmbH - Biochemica

Page 15: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

overview of cell to cell communication

Chemical Autocrine & Paracrine: local signaling Endocrine system: distant, diffuse target

Electrical Gap junction: local Nervous system: fast, specific, distant target

Page 16: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

gap junctions and CAMs

Figure 6-1a, b: Direct and local cell-to-cell communication

Protein channels - connexin Direct flow to neighbor

Electrical- ions (charge) Signal chemicals

CAMs (cell-adhesion molecules) Need direct surface contact Signal chemical

Page 17: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

gap junctions and CAMs

Figure 6-1a, b: Direct and local cell-to-cell communication

Page 18: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

paracrines and autocrines

Figure 6-1c: Direct and local cell-to-cell communication

Local communication Signal chemicals diffuse to target Example: Cytokines

Autocrine–receptor on same cell Paracrine–neighboring cells

Page 19: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

hormones

Figure 6-2a: Long distance cell-to-cell communication

Signal Chemicals Made in endocrine cells Transported via blood Receptors on target cells

long distance communication

Page 20: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

neurons and neurohormones

Neurons Electrical signal down axon Signal molecule (neurotransmitter) to target cell

Neurohormones Chemical and electrical signals down axon Hormone transported via blood to target

Figure 6-2 b: Long distance cell-to-cell communication

long distance communication

Page 21: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Figure 6-2b, c: Long distance cell-to-cell communication

long distance communication

neurons and neurohormones

Page 22: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Figure 6-2b, c: Long distance cell-to-cell communication

long distance communication

neurons and neurohormones

Page 23: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

signal pathways

Signal molecule (ligand) Receptor Intracellular signal Target protein Response

Figure 6-3: Signal pathways

Page 24: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

receptor locations

Cytosolic or Nuclear Lipophilic ligand enters cell Often activates gene Slower response

Cell membrane Lipophobic ligand can't enter cell Outer surface receptor Fast response

Page 25: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

membrane receptor classes

Ligand- gated channel Receptor enzymes G-protein-coupled Integrin

Page 26: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

membrane receptor classes

Page 27: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

signal transduction

Transforms signal energy Protein kinase Second messenger Activate proteins

Phosporylation Bind calcium

Cell response

Page 28: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

signal amplification

Small signal produces large cell response

Amplification enzyme Cascade

Page 29: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

receptor enzymes

Figure 6-10: Tyrosine kinase, an example of a receptor-enzyme

Transduction Activation cytoplasmic

Side enzyme Example: Tyrosine kinase

Page 30: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

G-protein-coupled receptors

Hundreds of types Main signal transducers

Activate enzymes Open ion channels Amplify:

adenyl cyclase-cAMP Activates synthesis

Page 31: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

G-protein-coupled receptors

Page 32: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

transduction reviewed

Page 33: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

novel signal molecules

Calcium: muscle contraction Channel opening Enzyme activation Vesicle excytosisNitric Oxide (NO) Paracrine: arterioles Activates cAMP Brain neurotransmitter

Carbon monoxide (CO)

Page 34: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

novel signal molecules

Calcium as an intracellular messenger

Page 35: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

quorum sensing

Page 36: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

quorum sensing

the ability of bacteria to sense and respond to environmental stimuli such as pH, temperature, the presence of nutrients, etc has been long recognized as essential for their continued survival

it is now apparent that many bacteria can also sense and respond to signals expressed by other bacteria

quorum sensing is the regulation of gene expression in response to cell density and is used by Gram positive and Gram negative bacteria to regulate a variety of physiological functions

it involves the production and detection of extracellular signaling molecules called autoinducers

Page 37: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

quorum sensing

Tomasz (1965) – Gram-positive Streptococcus pneumoniae produce a “competence factor” that controlled factors for uptake of DNA (natural transformation)

Nealson et al. (1970) – luminescence in the marine Gram-negative bacterium Vibrio fischeri controlled by self-produced chemical signal termed autoinducer

Eberhard et al. (1981) identified the V. fischeri autoinducer signal to be N-3-oxo-hexanoyl-L-homoserine lactone

Engebrecht et al. (1983) cloned the genes for the signal generating enzyme, the signal receptor and the lux genes

Page 38: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Vibrio fischeri is a specific bacterial symbiont with the squid Euprymna scolopes and grows in its light organ

quorum sensing

Page 39: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

quorum sensing

the squid cultivates a high density of cells in its light organ, thus allowing the autoinducer to accumulate to a threshold concentration

at this point, autoinducer combines with the gene product luxR to stimulate the expression of the genes for luciferase, triggering maximal light production

studies have shown that hatchling squid fail to enlarge the pouches that become the fully developed organ when raised in sterile seawater

Page 40: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

In V. fisheri, bioluminsecence only occurs when V. fischeri is at high cell density

quorum sensing

Page 41: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

N-3-oxo-hexanoyl-L-homoserinelactone

quorum sensing

Page 42: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Fuqua et al. (1994) introduced the term quorum sensing to describe cell-cell signaling in bacteria

Early 1990’s – homologs of LuxI were discovered in different bacterial species

V. fischeri LuxI-LuxR signaling system becomes the paradigm for bacterial cell-cell communication

quorum sensing

Page 43: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Gram-negativebacteria

Gram-positivebacteria

universallanguage

Vast array of molecules are used as chemical signals – enabling bacteria to talk to each other, and in many cases, to be multilingual

quorum sensing

Page 44: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

quorum sensing in Pseudomonas aeruginosa

P. aeruginosa uses a hierarchical quorum sensing circuit to regulate expression of virulence factors and biofilm formation

Page 45: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

quorum sensing in Gram-positive bacteria

Gram-positive bacteria utilizes modified oligopeptides as signaling molecules – secreted via an ATP-binding cassette (ABC) transporter complex

Detectors for these signals are two-component signal transduction systems

Page 46: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

quorum sensing in Gram-positive bacteria

sensor kinasebinding of autoinducer leads to autophosphorylation at conserved histidine residue

response regulator-phosphorylation at conserved aspartate by sensor kinase leads to binding of regulator to specific target promoters

Page 47: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

hybrid quorum sensing circuit in Vibrio harveyi

V. harveyi – marine bacterium, but unlike V. fischeri, does not live in symbiotic associations with higher organisms, but is free-living

Similar to V. fischeri, V. harveyi uses quorum sensing to control bioluminescence

Unlike V. fischeri and other gram-negative bacteria, V. harveyi has evolved a quorum sensing circuit that has characteristics typical of both Gram-negative and Gram-positive systems

Page 48: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

X = transcriptional repressor

hybrid quorum sensing circuit in Vibrio harveyi

V. harveyi uses acyl-HSL similar to other Gram-negatives but signal detection and relay apparatus consists of two-component proteins similar to Gram-positives

V. harveyi also responds to AI-2 that is designed for interspecies communication

Page 49: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

AI-1 AI-2LuxN and LuxQ – autophosphorylating kinases at low cell densities

Accumulation of autoinducers – LuxN and LuxQ phosphatasesdraining phosphate from LuxO via LuxUDephosphorylated LuxO is inactive repressor X not transcribedX = transcriptional repressor

hybrid quorum sensing circuit in Vibrio harveyi

Page 50: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

LuxS and interspecies communication

LuxS homologs found in both Gram-negative and Gram-positive bacteria; AI-2 production detected in bacteria such as E. coli, Salmonella typhimurium, H. pylori, V. cholerae, S.aureus, B. subtilis using engineered V. harveyi biosensor

Biosynthetic pathway, chemical intermediates in AI-2 production, and possibly AI-2 itself, are identical in all AI-2 producing bacteria to date – reinforces the proposal of AI-2 as a “universal” language

Page 51: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

signal processing circuits

Page 52: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Receiver cells

pLuxI-Tet-8 pRCV-3

aTc

luxI VAI

VAI

LuxRGFP

tetR

aTc

00

Sender cells

cell-cell communication circuits

Page 53: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

VAI VAI

Receiver cellsSender cells

tetRP(tet)

luxIP(Ltet-O1)

aTc

GFP(LVA)Lux P(R)luxR Lux P(L)

+

cell-cell communication circuits

Page 54: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

C(4)HSLqsc box

C(6)HSLlux box

Cell Color

0 0 none

0 1 Green (GFP)

1 0 Red(HcRED)

1 1 Cyan(CFP)

2:4 multiplexer

Page 55: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

significance of multiplexer

With a 2:4 mux, the combination of 2 inputs produces 4 different output states / expressed proteins

In Eukaryotic cells, these proteins could potentially differentiate the cell into one of four cell types

Applications include tissue engineering and more understanding for stem cell fate and determination

Page 56: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

qsc lux A

0 0 0

0 1 green

1 0 0

1 1 0

qsc lux B

0 0 0

0 1 0

1 0 red

1 1 0

qsc lux C

0 0 0

0 1 0

1 0 0

1 1 cyan

qsc lux D

0 0 0

0 1 green

1 0 red

1 1 cyan

+ +

=

mux: the sum of three circuits

Page 57: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

luxbox

qscbox

GFP

luxR

RhlR

C4HSL

C6HSL

qsc Lux A

0 0 0

0 1 green

1 0 0

1 1 0

case A

Page 58: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

luxbox

qscbox

HcRED

luxR

RhlR

C4HSL

C6HSL

qsc lux B

0 0 0

0 1 0

1 0 red

1 1 0

case B

Page 59: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

λP(R)CFP

cI

cI

luxbox

qscbox

qsc lux C

0 0 0

0 1 0

1 0 0

1 1 cyan

case C, AND gate

Page 60: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

luxbox

qscbox

HcRED

luxR RhlR

C4HSLC6HSL

qsc lux AxorB

0 0 0

0 1 green

1 0 red

1 1 0

GFP

case A and B

Page 61: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

qsc binding site plasmid copy number production of C(x)HSL

design considerations

Page 62: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

phenotype tests

triple plasmid, regulatory double plasmid, antisensing double plasmid, antisensing + regulatory chromosome, antisensing + regulatory

Page 63: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

pRCV-34149 bp

AP r

GFP(LVA)

LuxR

CAP bs

CAP/cAMP Binding Site

P(BLA)

P(LAC)

lux P(L)

lux P(R)

lux box

RBSII

LuxR RBS

ColE1 ORI

Inverted Repeat

rrnB T1

rrnB T1

-10 region

-10 region

LuxR -10

LuxICDABEG -10 region

-35 region

LuxR -35

pASK-102: Single “Parent” Offspring

QSC box

case A

Page 64: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

pASK-102-qsc1174159 bp

AP r

GFP(LVA)

LuxR

CAP bs

CAP/cAMP Binding Site

P(BLA)

P(LAC)

lux P(L)

lux P(R)

lux box

qsc117 lux box for C4HSL

LuxR RBS

RBSII

ColE1 ORI

Inverted Repeat

rrnB T1

rrnB T1

-10 region

-10 region

LuxR -10

LuxICDABEG -10 region

-35 region

LuxR -35

Plasmid 1

case A

Page 65: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

pASK-103-RhlR-qsc1174848 bp

AP r

GFP(LVA)

LuxR

RhlR Ver 2 (8 Mismatch)

CAP bs

CAP/cAMP Binding Site

P(LAC)

lux P(L)

lux P(R)

lux box

qsc117 lux box for C4HSL

LuxR RBS

RBSII

ColE1 ORI

Inverted Repeat

rrnB T1

-10 region

-10 region

LuxR -10

LuxICDABEG -10 region

-35 region LuxR -35

Parents: pASK-102-qsc117 (vector), pECP61.5 (insert)Plasmid 2

case A

Page 66: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

OO OONH

O

OO OONH

OO OONH

OO OONH

OO OONH

OO OONH

detecting chemical gradients

analyte source detection

analytesource

reporter rings

OOONH

OOONH

OOONH

OOONH

OO OONH

OOONH

signal

Page 67: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Components1. Acyl-HSL detect2. Low threshold3. High threshold4. Negating combiner

LuxRO O

O

ONHLuxR

O OO

ONH O O

O

ONHO O

O

ONH

O OO

ONH

P(lux) X Y

Z2P(W)

GFPP(Z)

Z1P(X)

WP(Y)

O OO

ONH

O OO

ONH

O OO

ONH

luxRP(R)

circuit components

Page 68: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Y high threshold

X low threshold

acyl-hSL detection

LuxRO O

O

ONHLuxR

O OO

ONH O O

O

ONHO O

O

ONH

O OO

ONH

P(lux) X Y

Z2P(W)

GFPP(Z)

Z1P(X)

WP(Y)

O OO

ONH

O OO

ONH

O OO

ONH

luxRP(R)

detecting chemical gradients

Page 69: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

low threshold detection

LuxRO O

O

ONHLuxR

O OO

ONH O O

O

ONHO O

O

ONH

O OO

ONH

P(lux) X Y

Z2P(W)

GFPP(Z)

Z1P(X)

WP(Y)

O OO

ONH

O OO

ONH

O OO

ONH

luxRP(R)

detecting chemical gradients

Page 70: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

high threshold detection

LuxRO O

O

ONHLuxR

O OO

ONH O O

O

ONHO O

O

ONH

O OO

ONH

P(lux) X Y

Z2P(W)

GFPP(Z)

Z1P(X)

WP(Y)

O OO

ONH

O OO

ONH

O OO

ONH

luxRP(R)

detecting chemical gradients

Page 71: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

protein Z determines range

LuxRO O

O

ONHLuxR

O OO

ONH O O

O

ONHO O

O

ONH

O OO

ONH

P(lux) X Y

Z2P(W)

GFPP(Z)

Z1P(X)

WP(Y)

O OO

ONH

O OO

ONH

O OO

ONH

luxRP(R)

detecting chemical gradients

Page 72: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

negating combiner

LuxRO O

O

ONHLuxR

O OO

ONH O O

O

ONHO O

O

ONH

O OO

ONH

P(lux) X Y

Z2P(W)

GFPP(Z)

Z1P(X)

WP(Y)

O OO

ONH

O OO

ONH

O OO

ONH

luxRP(R)

detecting chemical gradients

Page 73: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

HSL-width

HSL-mid0.3

engineering circuit characteristics

HSL-mid: the midpoint where GFP has the highest concentration

HSL-width: the range where GFP is above 0.3uM

Page 74: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

other signals

Page 75: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

relay signals

Signals received at the cell surface either by G-protein-linked or enzyme-linked receptors are relayed into the cell This is achieved by a combination of small and large intracellular

signaling molecules

The resulting chain of intracellular signaling events alters a target protein which in turn modifies the behavior of the cell (Fig. 15-1)

Page 76: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

The small intracellular mediators are called second messengers (the first messenger being the extracellular signal) e.g. Ca2+ and cyclic AMP, which are water-soluble and diffuse into

the cytosol

The large intracellular mediators are intracellular signaling proteins They relay the signal by either activating the next signaling protein

in the chain or generating small intracellular mediators

relay signals

Page 77: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Relay proteins: pass the message to the next signaling component

Adaptor proteins: link one signaling protein to another without themselves participating in the signaling event

Amplifier proteins: usually either enzymes or ion channels that enhance the signal they receive

Transducer proteins: convert the signal to a different form e.g. adenyl cyclase

Bifurcation proteins: spread the signal from one signaling pathway to another

Different kinds of intracellular signaling proteins along a signaling pathway from the cell surface to the nucleus

Page 78: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Integrator proteins: receive signals from 2 or more pathways and integrate thembefore relaying a signal onwards

Latent gene regulatory proteins: activated at the cell surface by activated receptors & migrate to the nucleus to stimulate gene expression

Modulator proteins: modify the activity of intracellular signaling proteins & regulate the strength of signaling along the pathway

Anchoring proteins: maintain specific signaling proteins at a specific location by tethering them to a membrane

Different kinds of intracellular signaling proteins along a signaling pathway from the cell surface to the nucleus

Page 79: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

Scaffold proteins: adaptor &/or anchoring proteins that bind multiple signaling proteins together in afunctional complex

Different kinds of intracellular signaling proteins along a signaling pathway from the cell surface to the nucleus

Page 80: Cell communication.  introduction  molecular biology  biotechnology  bioMEMS  bioinformatics  bio-modeling  cells and e-cells  transcription and

intracellular signaling proteins as molecular switches

Many intracellular signaling proteins behave like molecular switches On receipt of a signal, they switch from an inactive to active state

until another process turns them off

There are two classes of such molecular switches1. Phosphorylation switches2. GTP-binding protein switches

In both cases, it is the gain or loss of phosphate that determines whether the switch is active or inactive

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Switch is turned on by a protein kinase, which adds a phosphate, and turned off by a protein phosphatase, which removes the phosphate group

Switch is turned on by exchange of GDP for GTP, and turned off by GTP hydrolysis (ie GTPase activity)

intracellular signaling proteins as molecular switches

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phosphorylation cascades

~ 1/3 of the proteins in a cell are phosphorylated at any given time

Moreover, many of the signaling proteins controlled by phosphorylation are themselves protein kinases

These are organized in phosphorylation cascades One protein kinase , activated by phosphorylation, phosphoryla

tes the next protein kinase in the sequence, and so on, relaying the signal onward

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protein kinases

There are two main types of protein kinase Serine/threonine kinases

They phosphorylate proteins on serines and (less often) threonines

Tyrosine kinasesThey phosphorylate proteins on tyrosines

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signal processing

Complex cell behaviors, like cell survival and cell proliferation, are stimulated by specific combinations of signals, rather than one signal acting alone

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signal processing

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Accordingly, the cell has to integrate information coming from separate signals so as to make the appropriate response– e.g. to live or die

This depends on integrator proteins, which are analogous to computer microprocessors

They require multiple signal inputs to produce an output with the desired biological effect

signal processing

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integrator proteins

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integrator proteins

Example of how they work: External signals A and B both activate a different series of prot

ein phosphorylations Each leads to the phosphorylation of protein Y, but at different

sites on the protein (Fig. 15-18)

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integrator protein

integrator proteins

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Example of how they work: Protein Y is activated only when both of these sites are activat

ed, and hence only when signals A and B are simultaneously present

For this reason, integrator proteins are sometimes called coincidence detectors

integrator proteins

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Also known as a ‘coincidence detector’

integrator proteins

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scaffold proteins

The complexity of signal response systems, with multiple interacting relay chains of signaling proteins is daunting

One strategy the cell uses to achieve specificity involves scaffolding proteins

They organize groups of interacting signaling proteins into signaling complexes

Because the scaffold guides the interactions between the successive components in such a complex, the signal is relayed with speed

In addition, cross-talk between signaling pathways is avoided

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scaffold proteins

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G-protein-linked cell-surface signaling

G-protein-linked receptors consist of a single polypeptide chain (sometimes called serpentine receptors)

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Upon binding of a signal molecule, the receptor undergoes a conformational change that enables it to activate trimeric GTP-binding proteins (G- proteins)

G-protein-linked cell-surface signaling

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G-protein-linked cell-surface signaling

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G-protein-linked cell-surface signaling

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e.g. adenyl cyclase (makes cyclic AMP, which in turn activates Cyclic-AMP- dependent Protein Kinase, thus initiating a signaling cascade)

G-protein-linked cell-surface signaling

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G-protein-linked cell-surface signaling