Lecture 5: Multicellular Organization and Hydra...
Transcript of Lecture 5: Multicellular Organization and Hydra...
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Lecture 5:
Multicellular Organization
and Hydra Regeneration
Jordi Soriano Fradera
Dept. Física de la Matèria Condensada, Universitat de Barcelona
UB Institute of Complex Systems
September 2016
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■ Why do we age?
■ Why we cannot regenerate?
▫ These two questions have obsessed humanity for thousands of years.
▫ Their understanding (and practical application) are among the major medical
objectives of the 21st century.
The capability of regeneration has decreased along evolution as a response
to the higher complexity and higher sexual reproduction efficiency.
1. Framework: regeneration
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■ Why do we age?
■ Why we cannot regenerate?
▫ These two questions have obsessed humanity for thousands of years.
▫ Their understanding (and practical application) are among the major medical
objectives of the 21st century
The capability of regeneration has decreased along evolution as a response
to the higher complexity and higher sexual reproduction efficiency.
1. Framework: regeneration
▫ In mammals, only few tissues can regenerate, e.g. :
- Fingerprints in humans,
- Antlers in male deer,
- Parts of the ear in rabbits and some mice.
Problem: regeneration implies the formation of new stem cells, that
differentiate to form the new tissues. Normally, this only occurs during
embryonic development.
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■ Key points:
- Multicellular organisms are extremely complex. Tissues have to be placed
properly (and their development coordinated) during embryogenesis and
growth.
- Axis establishment is the first and most critical step during embryogenesis.
Its failure stops further development.
- It is still not fully understood the complete set of strategies that Nature has
developed for axis establishment and body plan maintenance.
2. Animal complexity
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Egg Sperm
Oocyte
Embryo
- Symmetry-breaking
- Organizer formation
- Body plan organization
- Patterning
- Development
Animal
Cell division
Today we begin to understand the whole picture.
New experimental tools allow accurate cell tracking.
2. Animal complexity
+
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Egg Sperm+
Embryo
- Symmetry-breaking
- Organizer formation
- Body plan organization
- Patterning
- Development
Animal
Cell division
Oocyte
2. Animal complexity
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Embryo
- Symmetry-breaking
- Organizer formation
- Body plan organization
- Patterning
- Development
Animal
Spemann/Mangold Organizer Experiment
Egg Sperm+
Cell division
Oocyte
2. Animal complexity
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- Symmetry-breaking
- Organizer formation
- Body plan organization
- Patterning
- Development
Animal
Embryo
Egg Sperm+
Cell division
Oocyte
2. Animal complexity
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Embryo
- Symmetry-breaking
- Organizer formation
- Body plan organization
- Patterning
- Development
Animal- Turing patterns [static]
-Turing + spatio-temporal forcing
(e.g. traveling waves) [dynamic]
2. Animal complexity
Egg Sperm+
Cell division
Oocyte
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Which are the simplest biophysical scenarios
to understand development?
- Hydra.
- Drosophila.
- Zebrafish.
- Salamander.
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Tentacles
Head
Hypostome
Foot
Bud
■ State of constant growth and tissue
replacement.
■ Development controlled by one
organizer (located at the hypostome).
■ Complex patterning involved in...
* asexual reproduction,
* body structure maintenance
and regeneration.
Permanent, immortal “embryo”
Astonishing regeneration
capabilities
Great model system!
3. Hydra: Simple and complex alike
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3. Hydra: Simple and complex alike
Permanent, immortal “embryo”
Astonishing regeneration
capabilities
Great model system!
■ State of constant growth and tissue
replacement.
■ Development controlled by one
organizer (located at the hypostome).
■ Complex patterning involved in...
* asexual reproduction,
* body structure maintenance
and regeneration.
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■ State of constant growth and tissue
replacement. Permanent, immortal “embryo”
3. Hydra: Simple and complex alike
Cells migrate from
the center towards
the tentacles, replacing
the old tissue.
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Isotropic configuration broken symmetry
■ Hydra allows to study spontaneous symmetry breaking
(higher animals: initial asymmetries in the egg define axis)
1 % of tissue makes a normal Hydra!
3. Hydra: Simple and complex alike
organizer
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Isotropic configuration broken symmetry
■ Hydra allows to study spontaneous symmetry breaking
(higher animals: initial asymmetries in the egg define axis)
3. Hydra: Simple and complex alike
self--organization?
Pattern formation
through RD?
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H:
75X real time.1 mm
H: Head
B: Body column
F: Foot
Example of the closing process.
First 40 min.
4. Experiments in regenerating Hydra
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H:
3000X real time.1 mm
H: Head
B: Body column
F: Foot
4. Experiments in regenerating Hydra
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4. Experiments in regenerating Hydra
150 mm
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1 mm
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head
foot
Coexistence of different stable structures,
early “feet” and “heads”
Reaction-diffusion at play!
1 mm
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Axis and organizer
How do we understand it?
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■ Additional evidences for organizer’s dominance in development:
- big fragments (old axis preserved)
- buds (new axis since the beginning)
- organizer inserted (new axis imposed)
6. The importance of the organizer
■ The organizer is biologically well stablished:
- The organizer is a group of ~10 cells located at the head.
- The organizer is always the first structure to be restored
(e.g. fragments or beheaded adult Hydra).
- An organizer does not allow the presence of another one too close (e.g. big
aggregates, grafting experiments)
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■ Minimal model (1972) able to generate patterns:
1) Two morphogens: activator and inhibitor.
(expressed at the head organizer, HO)
2) Activator: Short range (or slow diffusion).
3) Inhibitor: Long range (or fast diffusion).
7. Simplest RD model for Hydra
Matlab exercise!
very important!
a
i
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■ The Meinhardt model explains well:
- Spontaneous symmetry-breaking in embryos.
- Head regeneration in Hydra.
- Stability of the body plan.
Biological data shows that the head organizer produces both
the activator (a) and inhibitor (i).
7. Simplest RD model for Hydra
a
i a
i
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■ The Meinhardt model explains well:
- Spontaneous symmetry-breaking in embryos.
- Head regeneration in Hydra.
- Stability of the body plan.
Biological data shows that the head organizer produces both
the activator (a) and inhibitor (i).
7. Simplest RD model for Hydra
However… budding cannot be explained
More elaborated models? a
i
Bud
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■ The new Meinhardt model (1993) introduces:
- Activator and inhibitor for head, foot and tentacles.
- A global positional value (PV) that links all structures. The structures are
activated according to the local PV concentration.
- The range of activators and inhibitors change dynamically to allocate all the
structures.
- PV is a tissue property.
Do not diffuse, but scales with size.
8. Elaborated RD model for Hydra
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■ The head organizer may be the source of the global positional value.
PV
8. Elaborated RD model for Hydra
■ The positional value can vary locally to accommodate new structures.
PV
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■ The model reads:
8. Elaborated RD model for Hydra
Head: Foot:
Tentacles:
Positiona value:
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9. Regeneration through self-organization
Self-organization is a process by which a system (formed by elements
and their interactions) becomes ordered in space and/or time.
■ Recent ideas consider that self-organization in biology imply:
▫ Minimum energy of the biological system.
▫ Minimum entropy, i.e. minimum number of admissible states.
▫ Optimal information exchange among system’s elements.
self-organization
self-assembly
Require energy
to be maintained!
(crystals, colloids)
(convection, biochemical patterns)
set of admissible statesentropy
entropy
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9. Regeneration through self-organization
▫ It seems that Hydra cells first self-organize to build a functional
hollow structure to later activate RD mechanisms.
Fluctuations may help driving the system
towards the configuration with minimum energy.
▫ Activation of RD mechanisms require symmetry-breaking and the
growth of fluctuations. This may be activated by cell-cell communication,
gene expression…
▫ And Hydra may drive itself towards
a critical state where the system is
scale-invariant and correlations maximum.
self-organized criticalitySome observable D
characterizing the system
goes as D ~ s-g.
What (our) experiments say?
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9. Regeneration through self-organization
Possible model:
1) Initial swelling is passive, but provides mechanical stimulation
to cells and activates molecular cues.
S Evidence: no oscillations no axis formation no regeneration
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Possible model:
1) Initial swelling is passive, but provides mechanical stimulation
to cells and activates molecular cues.
S Evidence: no oscillations no axis formation no regeneration
2) Correlations in the system grow driven by molecular signaling,
inducing organizer formation and activation or RD mechanisms.
S Evidence: gene expression patterns along regeneration.
3) Organizer locks axis and controls further development.
9. Regeneration through self-organization
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Early development After axis formation
Adult / fully regenerated
1 mm50 mm
50 mm
- Apply color threshold to get black and white contours.
- Quantify spots size s distribution P(s).
- We studied ~100 animals / patterns.
In situ hybridization patterns:
9. Regeneration through self-organization
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…
0 10 20 30 40 50 60 70 80
0
5
10
KS
-1 a
rea
(a
.u.)
Development time (h)
pro
pert
y (
%)
0
100
ks -1 area
1) Total ks-1 area along development and other quantities:
Results:
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…
0 10 20 30 40 50 60 70 80
0
5
10
KS
-1 a
rea
(a
.u.)
Development time (h)
pro
pert
y (
%)
0
100
stiffness
ks -1 area
1) Total ks-1 area along development and other quantities:
Results:
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…
1) Total ks-1 area along development and other quantities:
Results:
0 10 20 30 40 50 60 70 80
0
5
10
KS
-1 a
rea
(a
.u.)
Development time (h)
pro
pert
y (
%)
0
100
stiffness
ks -1 area
freq. oscillations
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9. Regeneration through self-organization
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9. Regeneration through self-organization
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X: ks-1 promoting factor.
n: production rate
(increases with mechanical stress).
c: discharged fraction.
▫ Avalanche-like dynamics.
▫ Long range cell-cell communication.
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■ External perturbations may define axis only if applied before S.B.
Evidence: temperature gradient experiment.
0
30
60
90
120
150
180
210
240
270
300
330
const T
T = 0.6 °C
T = 0.9 °C
T = 0.6 °C after symmetry-breaking
9. Other observations: role of external perturbations
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End of lecture 5
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Questions and discussion aspects:
- How far are we from regenerative medicine?
- Coupled RD systems could fully describe human
embryogenesis? How many RD systems would be required?
- What do you know about self-organized criticality? A major
controversy is that power laws may appear too easily.
TAKE HOME MESSAGE:
- Hydra is one the most versatile systems to study regeneration and
pattern formation. It shares features observed in higher animals.
- Embryogenesis and regeneration from identical cells involves the
formation of a main foot-head axis and the activation of patterning
mechanisms.
- Patterning can be fully understood by using reaction-diffusion models.
However, other ideas coexist, inspired in self-organized criticality.
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References
▫ C.B.Kimmel et al., “Stages of embryonic development of the zebrafish”, Developmental
Dyn. (1995).
▫ B. Peña et al., “Transverse instabilities in chemical Turing patterns of stripes”,
Phys. Rev. E (2003).
▫ A. M. Turing, Philos. Trans. R. Soc. London, Ser. B (1952).
▫ A. Gierer and H. Meinhardt, “A theory of biological pattern formation”, Kybernetik
(1972).
▫ A. Gierer, “Generation of biological patterns and form: Some physical, mathematical,
and logical aspects”, Progr. Biophys. molec. Biol. (1981).
▫ H. Meinhardt, “A Model for Pattern Formation of Hypostome, Tentacles, and Foot in
Hydra: How to Form Structures Close to Each Other, How to Form Them at a Distance”,
Developmental Biology (1993).
D.E. Turcotte, “Self-organized criticality”, Rep. Prog. Phys. (1999).
▫ V.I. Yukalov, “Self-organization in complex systems as decision making”,
arXiv:1408.1529 (2014).
▫ J. Soriano et al., “Hydra Molecular Network Reaches Criticality at the Symmetry-
Breaking Axis-Defining Moment”, Phys. Rev. Lett. (2006).
▫ A. Gamba et al., “Critical Behavior and Axis Defining Symmetry Breaking in Hydra
Embryonic Development”, Phys. Rev. Lett. (2012).
▫ J. Soriano et al., “Mechanogenetic Coupling of Hydra Symmetry Breaking and Driven
Turing Instability Model”, Biophysical Journal (2009).