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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

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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!

Can We Create a “My Space” for Science Researchers? Microbial Metagenomics as a Cyber Community

Over 1000 Registered Users From 45 Countries

USA 583United Kingdom 46Canada 35France 35Germany 32