encoding contingency in multicellular...
TRANSCRIPT
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Encoding Contingency
in Multicellular Organisms
Kenneth Kosik, UCSB May 18, 2011 KITP Colloquium
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Contingency over Evolutionary Time Scales
Stephen Jay Gould: replaying the „„tape of life‟‟ from some
point in the distant past would yield a living world far
different from the one we see today. Accidents and
happenstance shape the course of evolution.
Simon Conway Morris: natural selection constrains
organisms to a relatively few highly adaptive options
despite the vagaries of history, so that „„the evolutionary
routes are many, but the destinations are limited.‟‟
Evolution is broadly repeatable, and multiple replays would
reveal striking similarities in important features, with
contingency mostly confined to minor details.
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A Contingency Frequency Timeline
Time
preparedness for contingencies
Cells face an environment that is many times more
complex than the biological repertoire available within
the genome.
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Constancy and Change
in the Face of Contingencies
Maintain cell identity
Change cell identity
1. Evolutionary time scales--genetic drift v natural selection
2. Biological time scales--
Cell types in a multicellular organism maintain
strikingly different behaviors and morphologies
that persist over extended periods despite
essentially identical genomes.4
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pluripotent
multipotent
terminal differentiation
Extreme options-malignancy, apoptosis
transdifferentiation
Hundreds of terminally
differentiated cell types
Hundreds of precursor
cell types
Each unique cell
identity requires its
own response to
contingencies
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Terminal differentiation
homeostasis--preserve constant the conditions of the internal environment
"La fixité du milieu intérieur est la condition d'une vie libre et indépendante."
Claude Bernard
allostasis—stability through change
parameters are not constant, variation anticipates demand and thereby reduces error
Sterling & Eyer, 1988
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1. genes
epigenetic marks
(histone code)
2. transcriptome
mRNAs
miRNAs
piRNAs
3. proteome
(post translational
modifications)
4. metabolome
Inventory of parameters to implement the genome
Copy number
distribution
flat
Exponential
Exponential
Total individual elements
in a mammalian cell
~25,000
3-5 x 105
109
~105 Exponential
Number of
individual elements
~25,000
~104
1000
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5460 transcripts
15000 polyA-RNA's per cell
Average level: 2.8 copies/cell
Median level: 0.79 copies/cell
80% of the transcriptome is
expressed at 0.1 - 2 mRNA copies/cell
Rick Young Cell 95:717-28, 1998 Dani Bassett
Cecilia Conaco
Demosponge
~21,000 transcripts
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Identity change
A Bdifferentiation
reprogramming
Directional drivers = transcription factors
Core pluripotency factors —
Oct 4, Klf 4, Sox 2, c-Myc
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Uta-Maria Bauer
Cellular identity may be closely related to „chromatin state‟
Histone modifications:
pan-H3, H3K4me3, H3K9me3, H3K27me3,
H3K36me3, H4K20me3, RNA polymerase II10
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Mouse ES cells
Nature 448: 553, 2007
ChIP-Seq maps of specific histone modifications show
marked enrichment at specific locations in the genome
H3K4me3 is catalyzed by trithorax-group (trxG) proteins -- activation
H3K27me3 is catalyzed by Polycomb-group (PcG) proteins -- silencing
Monovalent promoters (H3K4me3) regulate genes with „housekeeping‟
functions including replication and basic metabolism.
„bivalent‟ chromatin mark: Promoters in ES cells with both H3K4me3 and
H3K27me3 -- key developmental genes poised for lineage-specific
activation or repression 11
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bivalent marks in ES cells resolve to
a monovalent status in committed cells
housekeeping
Neural transcription
factor Neurogenesis
Transcription factor
Adipogenesis
Transcription factorES cells
neural progenitor cells (NPCs)
embryonic fibroblasts (MEFs) 12
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Enhancer elements—cell identity
Specific histone modifications correlate with regulator binding,
transcriptional initiation and elongation, enhancer activity and
repression. Combinations of modifications can provide even more
precise insight into chromatin state.
Recurrent combinations of marks define repressed, poised and active
promoters, strong and weak enhancers, putative insulators, transcribed
regions, and large-scale repressed and inactive domains.
Ernst J et al. Nature 473:43, 201113
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Enhancer clusters are significantly more cell type specific than
promoters, with few regions showing activity in more than two cell
types and a majority being specific to a single cell type.
Promoters Enhancers
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1. post-transcriptional regulators that imperfectly bind to complementary
sequences in the 3‟ UTRs of target mRNAs, and usually result in gene silencing
1. ~22 nucleotides long
2. Human genome encodes over ~1000 miRNAs which target about 60% of
mammalian genes. Each miRNA may repress hundreds of mRNAs
3. Cytoplasmic regulators of gene expression with comparable complexity to
transcription factors (nuclear regulators)
4. Evolutionarily ancient and extremely low rate of evolution
microRNAs
The C. elegans heterochronic gene lin-4 encodes
small RNAs with antisense complementarity to lin-14.
Lee RC, Feinbaum RL, Ambros V. Cell 75:843-54, 199315
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microRNA
Biogenesis
Chang-Zheng Chen C-Z
New Eng. J. Med.
353:1768-1771, 200516
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Rnase III endonucleaseleaves a 2 nt 3’ overhang
Nuclear cut by Drosha defines this end
Cytoplasmic cut by Dicer defines this end
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Systems Functions of miRNAs
1.Feedback Loops
2. Distributed Network Effects
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miRNA Transcription factor
mRNA
Changes in Cell Identity via
Transcriptional Feedback loops
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Xu N et al., Cell 2009
Johnston RJ Jr et al PNAS 2005 21
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miR-145 inhibits ESC self-renewal
while concurrently promotes
cellular differentiation
Double negative feedback loop Bistability ?
Gabriele Lillacci
Mustafa Khammash22
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Ivey & Srivastava, 201023
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Lu J. et al, Nature, 2005
miRNAs can classify different cancer types
24
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Low p53 High p53
Targeting of transcripts that operate near thresholds
Reducing high
dimensional miRNA
data to categories
that classify cell
identities
miRMap
Neveu et al.,
Cell Stem Cell 7:671, 201025
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Systems Functions of miRNAs
1.Feedback loops
2. Distributed Network Effects
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miR-21 network targeting
Oncogenic
StressDNA Damage Hypoxia
p53 co-activators
p63 p73
p53 transcriptional co-factors
p21 /
GADD45a
IGFBP3 /
NOXA /
BAX…
ApoptosisCell Cycle
Arrest
JMY
HNRPK
TP53BP2
DAXX
TOPORS
TP53BP2
p53miR-21
miR-21
Papagiannakopoulos T,
et al.,Cancer Res. 2008,
68:8164 27
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PI3K
SOS1GRB2
AKT
RAS
RAF
MAPK14
MEK
SURVIVAL
&
PROLIFERATION
PDGF
PD
GF
RA
EGF
EG
FR
CRK
ABL1
miR-128
miR-128 targets Mitogenic RTK Signaling
regulate gene expression additively
--tune gene expression rather
than switch expression. Make small
changes in protein levels. 28
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developing Drosophila larvae
fluctuate the environmental temperature
between 31°C and 18°C every ~ 1.5 hrs
wild-type larvae --no defects in expression of
ato and yan.
miR-7 mutant eyes fails to activate ato and
repress yan.
miR-7 RNA sequence is perfectly conserved from annelid to human
In Drosophila miR-7 is in gene networks that determine sensory organ fate
& is expressed in developing sensory organs
loss of miR-7 --little or no detectable impact on sensory organ development
Carthew lab
Cell 137:273–282, 2009.29
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cell bcell a
…...
…….…. ….
…...
…….….
…….
……
..tf1…tfn
effectors
miRa profile miRb profile
………..…… …
…… ….
…….. …..
…..
Kosik KS Cell 2010 Oct 1;143(1):21-6.30
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transcriptome
Cancer
cell
Loss of
cell identityAcquisition of novel
cell identity
Cell State
Differentiated cell
Stem
Cell
Expression
boundary
Expression
boundary
…...
……
…….
…..….
..
…… .….
…….
…...
……
…..….
..
……….
…….
…....
……
…..….
…....
…………
…….
miRNA profile miRNA profile miRNA profile
tf‟s tf‟s
Kosik KS Cell 143:21, 201031
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miRNAs may capacitate the emergence of large
numbers of precursor cell types capable of
honing developmental processes toward highly
specialized identities and precise cell numbers.
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Neurons recruit the miRNA system for a
specialized role at synapses
“why miRNA gene regulation” instead of using more transcription factors?
1. Rate of biogenesis is more rapid than proteins
2. Affect expression with less delay than factors that regulate nuclear events
Therefore, miRNAs can produce more rapid responses
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Neural Firing is a contingency event
depends on chance contingencies of environmental exposure, free will… 34
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Synapse Utilization
Martin KC, Kosik KS: Synaptic tagging -- who's it?
Nat Rev Neurosci. 3:813-20, 2002 35
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RISC
MOV10
proteasome
miRNA
mRNA
Degradation at the synapse relieves miRNA suppression
and permits protein translation
stable miRNA/mRNA duplexes allows an entire control layer to lie poised for the rapid
release of a networked set of mRNAs to undergo translation and achieve a smooth
and coordinated identity transition or change in synaptic thresholds.
36
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Single Puncta Analysis of
MOV10 Degradation
Banerjee S, et al.,
Neuron, 2009
[MOV10] [MOV10]k1=1/t
t=8.6 sec
37
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Photoconversion Stimulation
Kaede Lypla1 / αCamKII 3’ UTR
Evaluation of Translationally Trapped mRNAs:
New Protein Synthesis Reporter
Kaede is a photoconvertible fluorescence
protein that changes from green to red
upon exposure to uv light.
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Activity-regulated
Proteasomal Control of
Localized Synthesis
Banerjee S, Neveu P, Kosik KS.
Neuron 64:871-84, 2009
Kaede Lypla1 3’ UTR
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rno-miR-26a
5 µm
Specialized Roles for
miRNAs in Neurons
40
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0
10
20
30
40
1.0E+00 1.0E+02 1.0E+04 1.0E+06 1.0E+08 1.0E+10 1.0E+12
number of molecules
Th
res
ho
ld c
yc
les
(C
t)
rno-mir-124a rno-mir-26a rno-miR-16
Log. (rno-mir-124a) Log. (rno-mir-26a) Log. (rno-miR-16)
rno-miR-124a: 20864 ± 3654 / cell
rno-miR-26a: 4118.9 ± 142.2 / cell
rno-miR-16: 3224.5 ± 656.8 / cell
Biology at low copy number
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Relative to the number of synapses
neuronal firing is relatively low frequency event.
High cost of maintaining synaptic machinery
available for low frequency contingencies
The brain is an expensive organ:
The adult human brain = 2% of the body weight
but uses 20% of the body‟s total energy consumption
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Stochastic availability of neural machinery
to respond to the contingencies of synaptic firing
Advantages: reduce resource requirements at each synapse
reduce noise by coincidence detection
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The additional energy the brain expends for task directed behavior
is extremely small compared to the ongoing amount of energy that
the brain continuously expends.
60 - 80% of the brain energy budget is basal/intrinsic activity. The
additional energy burden associated with momentary demands of
the environment is 0.5 to 1.0% of the total energy budget.
Marcus E. Raichle The Brain's Dark
Energy. Science 314:1249, 2006Default network 44
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Sourav Banerjee
Thales Papagianakopoulos
Min Jeong Kye
Na Xu
Mary Arcila
Robin Hongjun Zhou
Cecilia Conaco
Pierre Neveu
Gabriele Lillacci
Dani Bassett
Boris Shraiman
Mustafa Khammash
Support: Keck Foundation, NIH45
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