emerging trends
TRANSCRIPT
Emerging Trends
IEEE Spectrum Editorial Board
New York, NY
June 29, 2007
Dr. Larry Smarr
Director, California Institute for Telecommunications and Information Technology
Harry E. Gruber Professor,
Dept. of Computer Science and Engineering
Jacobs School of Engineering, UCSD
Accelerator: The Perfect Storm-- Convergence of Engineering with Bio, Physics, & IT
2 mm
HP MemorySpot
Nanobioinfotechnology
1000x Magnification
2 micron
DNA-Conjugated Microbeads
Human Adenovirus
400x Magnification
IBM Quantum CorralIron Atoms on Copper
5 nanometers
400,000 x !
The Intersection of Solid State and Biological Information Systems
Snail neuron grown on a CMOS chip with 128x128 Transistors. The electrical activity of the neuron is recorded by the chip.
(Chip fabricated by Infineon Technologies)
www.biochem.mpg.de/en/research/rd/fromherz/publications/03eve/index.html
LifeChips: the merging of two major industries, the microelectronic chip industry
with the life science industry
LifeChips medical devices
Lifechips--Merging Two Major Industries: Microelectronic Chips & Life Sciences
65 UCI Faculty
Michael J. Sailor Research GroupChemistry and Biochemistry
Nanostructured “Mother Ships” for Delivery of Cancer Therapeutics
Nanodevices for In-vivo Detection & Treatment of Cancerous Tumors
Nano-Structured Porous SiliconApplied to Cancer Treatment
Guided waveoptics
Aqueousbio/chemsensors
Fluidic circuit
Free spaceoptics
Physicalsensors
Gas/chemicalsensors
Electronics (communication, powering)
Ivan Schuller holding the first prototype in 2004
I. K. Schuller, A. Kummel, M. Sailor, W. Trogler, Y-H Lo
A World of Distributed Sensors Starts with Integrated Nanosensors
Developing Multiple Nanosensors on a Single Chip,
Integrated with Local Processing and Wireless Communications
Technology Transfer:RedX (Explosive Sensors), RheVision (Fauvation Optics)
200645 Faculty with
Nano Projects at Calit2@UCSD
Real-Time Electronic Readout from Single Biomolecule Sensors
• Carbon Nanotube Circuits Provide Nanoscale Connectivity
• New Techniques Integrate Single-Molecule Attachments
• Dynamics and Interactions With the Environment Can be Directly Measured
• Electronic Readout Compatible With Hand-held, Low-power Devices
Source: Phil Collins & Greg Weiss, Calit2@UCI
1 nm wiring
1 proteinmolecule
… and withoutdevice in buffer with reagents
Schematic & SEM Image of Carbon Nanotube-based Device
40 Nano Projects at Calit2@UCI
Building a Genome-Scale Model of E. Coli in Silico
• E. Coli– Has 4300
Genes– Model Has
2000!
Regulatory Actions
Input Signals
Monomers &Energy
Proteins
Genomics
Transcriptomics
Proteomics
Metabolomics
EnvironmentInteractomics
Transcription &Translation
Metabolism
Regulation
E4PX5PGLC
G6P
F6P
FDP
DHAP
3PG
DPG
GA3P
2PG
PEP
PYR
AcCoA
SuccCoA
SUCC
AKG
ICIT
CIT
FUM
MAL
OAA
Ru5P
R5P
S7P
6PGA 6PG
ACTPETH
ATP
NADPHNADH FADH
SUCCxt
pts
pts
pgi
pfkA
fba
tpi
fbp
gapA
pgk
gpmA
eno
pykFppsAaceE
zwfpgl gnd
rpiA
rpe
talAtktA1 tktA2
gltA
acnA icdA
sucA
sucC
sdhA1
frdA
fumA
mdh
adhE
AC
ackA
pta
pckA
ppc
cyoA
pnt1A
sdhA2nuoA
atpA
ACxtETHxt
O2O2xt
CO2 CO2xt
Pi Pixt
O2 trx
CO2 trx
Pi trx
EXTRACELLULARMETABOLITE
reaction/gene name
Map Legend
INTRACELLULARMETABOLITE
GROWTH/BIOMASSPRECURSORS
ETH trxAC trx
SUCC trx
acs
FOR
pflA
FORxt
FOR trx
dld
LAC
LACxtLAC trx
PYRxt PYR trx
glpDgpsA
GL3P
GL glpK
GLxt
GL trx
GLCxtGLC trx
glk
RIB
rbsK
RIBxt
RIB trx
FORfdoH
pnt2A
H+ Qh2
GLX
aceA
aceB
maeB
sfcA
E4PX5PGLC
G6P
F6P
FDP
DHAP
3PG
DPG
GA3P
2PG
PEP
PYR
AcCoA
SuccCoA
SUCC
AKG
ICIT
CIT
FUM
MAL
OAA
Ru5P
R5P
S7P
6PGA 6PG
ACTPETH
ATP
NADPHNADH FADH
SUCCxt
pts
pts
pgi
pfkA
fba
tpi
fbp
gapA
pgk
gpmA
eno
pykFppsAaceE
zwfpgl gnd
rpiA
rpe
talAtktA1 tktA2
gltA
acnA icdA
sucA
sucC
sdhA1
frdA
fumA
mdh
adhE
AC
ackA
pta
pckA
ppc
cyoA
pnt1A
sdhA2nuoA
atpA
ACxtETHxt
O2O2xt
CO2 CO2xt
Pi Pixt
O2 trx
CO2 trx
Pi trx
EXTRACELLULARMETABOLITE
reaction/gene name
Map Legend
INTRACELLULARMETABOLITE
GROWTH/BIOMASSPRECURSORS
ETH trxAC trx
SUCC trx
acs
FOR
pflA
FORxt
FOR trx
dld
LAC
LACxtLAC trx
PYRxt PYR trx
glpDgpsA
GL3P
GL glpK
GLxt
GL trx
GLCxtGLC trx
glk
RIB
rbsK
RIBxt
RIB trx
FORfdoH
pnt2A
H+ Qh2
GLX
aceA
aceB
maeB
sfcA
E4PX5PGLC
G6P
F6P
FDP
DHAP
3PG
DPG
GA3P
2PG
PEP
PYR
AcCoA
SuccCoA
SUCC
AKG
ICIT
CIT
FUM
MAL
OAA
Ru5P
R5P
S7P
6PGA 6PG
ACTPETH
ATP
NADPHNADH FADH
SUCCxt
pts
pts
pgi
pfkA
fba
tpi
fbp
gapA
pgk
gpmA
eno
pykFppsAaceE
zwfpgl gnd
rpiA
rpe
talAtktA1 tktA2
gltA
acnA icdA
sucA
sucC
sdhA1
frdA
fumA
mdh
adhE
AC
ackA
pta
pckA
ppc
cyoA
pnt1A
sdhA2nuoA
atpA
ACxtETHxt
O2O2xt
CO2 CO2xt
Pi Pixt
O2 trx
CO2 trx
Pi trx
EXTRACELLULARMETABOLITE
reaction/gene name
Map Legend
INTRACELLULARMETABOLITE
GROWTH/BIOMASSPRECURSORS
ETH trxAC trx
SUCC trx
acs
FOR
pflA
FORxt
FOR trx
dld
LAC
LACxtLAC trx
PYRxt PYR trx
glpDgpsA
GL3P
GL glpK
GLxt
GL trx
GLCxtGLC trx
glk
RIB
rbsK
RIBxt
RIB trx
FORfdoH
pnt2A
H+ Qh2
GLX
aceA
aceB
maeB
sfcA
E4PX5PGLC
G6P
F6P
FDP
DHAP
3PG
DPG
GA3P
2PG
PEP
PYR
AcCoA
SuccCoA
SUCC
AKG
ICIT
CIT
FUM
MAL
OAA
Ru5P
R5P
S7P
6PGA 6PG
ACTPETH
ATP
NADPHNADH FADH
SUCCxt
pts
pts
pgi
pfkA
fba
tpi
fbp
gapA
pgk
gpmA
eno
pykFppsAaceE
zwfpgl gnd
rpiA
rpe
talAtktA1 tktA2
gltA
acnA icdA
sucA
sucC
sdhA1
frdA
fumA
mdh
adhE
AC
ackA
pta
pckA
ppc
cyoA
pnt1A
sdhA2nuoA
atpA
ACxtETHxt
O2O2xt
CO2 CO2xt
Pi Pixt
O2 trx
CO2 trx
Pi trx
EXTRACELLULARMETABOLITE
reaction/gene name
Map Legend
INTRACELLULARMETABOLITE
GROWTH/BIOMASSPRECURSORS
ETH trxAC trx
SUCC trx
acs
FOR
pflA
FORxt
FOR trx
dld
LAC
LACxtLAC trx
PYRxt PYR trx
glpDgpsA
GL3P
GL glpK
GLxt
GL trx
GLCxtGLC trx
glk
RIB
rbsK
RIBxt
RIB trx
FORfdoH
pnt2A
H+ Qh2
GLX
aceA
aceB
maeB
sfcA
G1 + RNAP G1*
v1
nNTP
mRNA1 nNMPb4
b2
v2
v3=k1[mRNA1]
2aGTP
rib
rib1*
protein1b3
v4 (subject to global max.)
v5
aAA-tRNA
b7
2aGDP + 2aPib8
b5
b1 aAAatRNA
aATP
aAMP
+ 2aPi
b6
v6
2nPi
Pi
b9
G1 + RNAP G1*
v1
nNTP
mRNA1 nNMPb4
b2
v2
v3=k1[mRNA1]
2aGTP
rib
rib1*
protein1b3
v4 (subject to global max.)
v5
aAA-tRNA
b7
2aGDP + 2aPib8
b5
b1 aAAatRNA
aATP
aAMP
+ 2aPi
b6
v6
2nPi2nPi
Pi
b9
Pi
b9
G1 + RNAP G1*
v1
nNTP
mRNA1 nNMPb4
b2
v2
v3=k1[mRNA1]
2aGTP
rib
rib1*
protein1b3
v4 (subject to global max.)
v5
aAA-tRNA
b7
2aGDP + 2aPib8
b5
b1 aAAatRNA
aATP
aAMP
+ 2aPi
b6
v6
2nPi
Pi
b9
G1 + RNAP G1*
v1
nNTP
mRNA1 nNMPb4
b2
v2
v3=k1[mRNA1]
2aGTP
rib
rib1*
protein1b3
v4 (subject to global max.)
v5
aAA-tRNA
b7
2aGDP + 2aPib8
b5
b1 aAAatRNA
aATP
aAMP
+ 2aPi
b6
v6
2nPi2nPi
Pi
b9
Pi
b9
Gc2
tc2
Rc2
Pc2 Carbon2A
Oc2
Carbon1
(indirect)
(-)
If [Carbon1] > 0, tc2 = 0
G2a
t2a
R2a
P2a BC + 2 ATP + 3 NADH
O2a
B(+)
G5
t5
R5
P5 C + 4 NADH
O5
(+)
3 E
If R1 = 0, we say [B] is not in surplus, t2a = t5 = 0
G6a
t6a
R6a
P6aH
O6a
(-)
Hext
If Rh> 0, [H] is in surplus, t6a = 0
Gres
tres
Rres
Pres O2 + NADH
ATP
Ores
O2
(+)
G3b
t3b
R3b
P3bG
O3b
(+)
0.8 C + 2 NADH
If Oxygen = 0, we say [O2] = 0, tres= t3b = 0
G + 1 ATP + 2 NADH
Gc2
tc2
Rc2
Pc2 Carbon2A
Oc2
Carbon1
(indirect)
(-)
If [Carbon1] > 0, tc2 = 0
G2a
t2a
R2a
P2a BC + 2 ATP + 3 NADH
O2a
B(+)
G5
t5
R5
P5 C + 4 NADH
O5
(+)
3 E
If R1 = 0, we say [B] is not in surplus, t2a = t5 = 0
G6a
t6a
R6a
P6aH
O6a
(-)
Hext
If Rh> 0, [H] is in surplus, t6a = 0
Gres
tres
Rres
Pres O2 + NADH
ATP
Ores
O2
(+)
G3b
t3b
R3b
P3bG
O3b
(+)
0.8 C + 2 NADH
If Oxygen = 0, we say [O2] = 0, tres= t3b = 0
G + 1 ATP + 2 NADH
E. coli i2K
Source: Bernhard PalssonUCSD Genetic Circuits Research Group
http://gcrg.ucsd.edu
JTB 2002
JBC 2002
in Silico Organisms Now Available
2007:
•Escherichia coli •Haemophilus influenzae •Helicobacter pylori •Homo sapiens Build 1•Human red blood cell •Human cardiac mitochondria •Methanosarcina barkeri •Mouse Cardiomyocyte •Mycobacterium tuberculosis •Saccharomyces cerevisiae •Staphylococcus aureus
Information Theorists Working with Bio, IT, and Nano Researchers Will Radically Transform Our View of Living Systems
"Through the strong loupe of information theory,
we will be able to watch how such [living] beings
do what nonliving systems cannot do:
extract information from their surrounds,
store it in a stable molecular form,
and eventually parcel it out for their creative endeavors. ... So viewed, the information
circle becomes the unit of life.”--Werner Loewenstein
The Touchstone of Life (1999)Calit2’s
Information Theory and Applications Center
http://ita.ucsd.edu
President Kalam of India Believes Nanobioinfotech is the Future for 600,000 Villages
• Interactive Knowledge System• Convergence of Info- Nano - Bio• Make the Bandwidth Available with No Limits• PURA--Societal Grid With Electronic Connection of a Billion People
Photo: Alan Decker, UCSD
September 26-30, 2005Calit2 @ University of California, San Diego
California Institute for Telecommunications and Information Technology
The University Research World Is Connecting with Dedicated 10Gbps Light Paths
iGrid
2005T H E G L O B A L L A M B D A I N T E G R A T E D F A C I L I T Y
Maxine Brown, Tom DeFanti, Co-Chairs
www.igrid2005.org
50 Demonstrations, 20 Counties, 10 Gbps/Demo
First Trans-Pacific Super High Definition Telepresence Meeting Using Digital Cinema 4k Streams
Keio University President Anzai
UCSD Chancellor Fox
Lays Technical Basis for
Global Digital
Cinema
Sony NTT SGI
Streaming 4k with JPEG 2000 Compression ½ gigabit/sec
Talk by Laurin Herr
100 Times the Resolution
of YouTube!
Beyond 4k – From 8 Megapixels Towards a Billion Megapixels
Calit2@UCI Apple Tiled Display WallDriven by 25 Dual-Processor G5s
50 Apple 30” Cinema Displays
Source: Falko Kuester, Calit2@UCINSF Infrastructure Grant
Data—One Foot Resolution USGS Images of La Jolla, CA
HDTV
Digital Cameras Digital Cinema
The OptIPuter Project: Creating High Resolution Portals Over Dedicated Optical Channels to Global Science Data
Picture Source:
Mark Ellisman,
David Lee, Jason Leigh
Calit2 (UCSD, UCI) and UIC Lead Campuses—Larry Smarr PIUniv. Partners: SDSC, USC, SDSU, NW, TA&M, UvA, SARA, KISTI, AIST
Industry: IBM, Sun, Telcordia, Chiaro, Calient, Glimmerglass, Lucent
$13.5M Over Five
Years
Scalable Adaptive Graphics
Environment (SAGE)
Broadband Depends on Where You Are
• Mobile Broadband– 0.1-0.5 Mbps
• Home Broadband– 1-5 Mbps
• University Dorm Room Broadband– 10-100 Mbps
• Calit2 Global Broadband– 1,000-10,000 Mbps
100,000 Fold Range All Here Today!
“The future is already here, it’s just not evenly distributed”
William Gibson, Author of Neuromancer
Marine Genome Sequencing Project – Measuring the Genetic Diversity of Ocean Microbes
Sorcerer II Data Will Double Number of Proteins in GenBank!
Specify Ocean Data
Each Sample ~2000
Microbial Species
Use of OptIPortal to Interactively View Microbial Genome
Source: Raj Singh, UCSD
Acidobacteria bacterium Ellin345 (NCBI)Soil Bacterium 5.6 Mb
15,000 x 15,000 Pixels
Use of OptIPortal to Interactively View Microbial Genome
Source: Raj Singh, UCSDAcidobacteria bacterium Ellin345 (NCBI)
Soil Bacterium 5.6 Mb
15,000 x 15,000 Pixels
Use of OptIPortal to Interactively View Microbial Genome
Source: Raj Singh, UCSDAcidobacteria bacterium Ellin345 (NCBI)
Soil Bacterium 5.6 Mb
15,000 x 15,000 Pixels
NW!
CICESE
UW
JCVI
MIT
SIO UCSD
SDSU
UIC EVL
UCI
OptIPortals
OptIPortal
An Emerging High Performance Collaboratoryfor Microbial Metagenomics
UC Davis
UMich
e-Science Collaboratory Without Walls Enabled by Uncompressed HD Telepresence
Photo: Harry Ammons, SDSC
John Delaney, PI LOOKING, Neptune
May 23, 2007
1500 Mbits/sec Calit2 to UW Research Channel Over NLR
3D OptIPortal Calit2 StarCAVE Telepresence “Holodeck”
60 GB Texture Memory, Renders Images 3,200 Times the Speed of Single PC
Source: Tom DeFanti, Greg Dawe, Calit2Connected at 200 Gb/s
30 HD Projectors!