A CMOS Label- -free DNA free DNA A CMOS Label Microarray - - PowerPoint PPT Presentation

a cmos label free dna free dna a cmos label microarray
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A CMOS Label- -free DNA free DNA A CMOS Label Microarray - - PowerPoint PPT Presentation

A CMOS Label- -free DNA free DNA A CMOS Label Microarray Microarray Erik Anderson Stanford University I2MTC 2008 Motivation Motivation Affymetrix + Agilent alone had $2.4 billion (USD) in revenue in 2007 for bio-analytic


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SLIDE 1

A CMOS Label A CMOS Label-

  • free DNA

free DNA Microarray Microarray

Erik Anderson Stanford University I2MTC 2008

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SLIDE 2

Erik Anderson 2

Motivation Motivation

www.dnavision.be

  • Affymetrix + Agilent alone had $2.4 billion (USD)

in revenue in 2007 for bio-analytic measurements

  • Drug discovery
  • Diagnostics
  • Research
  • Forensic testing
  • Growing interest in personalized medicine
  • Therapeutics tailored to your genetic profile
  • Conventional microarrays are expensive, big bulky

systems (optics, lasers, reagents)

  • Can we leverage integrated circuit fabrication

techniques for a low-cost approach?

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SLIDE 3

Erik Anderson 3

Outline Outline

  • Motivation
  • Background
  • Charge sensing of DNA polymerization
  • CMOS sensor
  • Conclusions
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SLIDE 4

Erik Anderson 4

DNA DNA

  • Contains genetic instructions to construct and regulate cellular

components

  • Consists of 4 nucleotides
  • Adenine (A), Thymine (T), Cytosine (C), Guanine (G)
  • Usually found double-stranded, but single-stranded version exists too
  • A only binds with T, C only binds with G
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SLIDE 5

Erik Anderson 5

Microarray Microarray Basics I Basics I

A A G C T T A A G C T T T T C G A A T G C A T T C G A A T G C A C C G C T T C C G C T T G G C G A A G G C A A A G C C G

Spot 1 Spot 3 Spot 2 Target ssDNA Probe ssDNA Fluorescent Label

A A G C C G www-als.lbl.gov

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SLIDE 6

Erik Anderson 6

Microarray Microarray Basics II Basics II

Images courtesy of Affymetrix

Affymetrix Gene Chip Microarray Scanner – Cost: ~$200k Gene Chip Image

  • Light from a grid location indicates the presence of the corresponding target

in a sample

  • Limitations: Expensive and not portable
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SLIDE 7

Erik Anderson 7

TAG4 Example from SGTC TAG4 Example from SGTC

  • TAG4 = yeast genome used with optical scanners
  • Run time

– DNA Extraction 2 hr – PCR & labeling 2 hr – Hybridization preparation 0.5 hr – Hybridization 6-16 hr – Wash & Stain 3 hr – Scan of chip 0.25 hr

  • Cost per chip (“Academic Prices”)

– Chip $150-300 – Reagents $50-150

  • 100,000 features or “spots” which are 8 m x 8 m
  • Probes are 20 nucleotides in length
  • Targets range from 100-200 nucleotides

– 10-100 ng/mL amplified (PCR) to concentrations of 1 g/mL

  • Works well when you are interested in massively parallel detection

– Suitable for point-of-care applications?

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SLIDE 8

Erik Anderson 8

Post Processing Challenges Post Processing Challenges

Thewes et al. ISSCC 2002. Han et al. ISSCC 2007.

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SLIDE 9

Erik Anderson 9

System Requirements System Requirements

  • Suitable for point-of-care applications

– Leverage IC fab technology for low-cost approach – Label-free – Easy post-processing – Integrate microarray with the “readout” – Reduced number of features from conventional

  • ptical techniques – goal is 25
  • Detects targets at 10 g/mL
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SLIDE 10

Erik Anderson 10

DNA Polymerization DNA Polymerization

Second strand CANNOT be synthesized Second strand CAN be synthesized Polymerase Polymerase works at double-strand / single-strand junctions

C C G C T T C C G C T T A A G C T T A A G C T T T T C G A A T G C A T T C G A A T G C A A

Targets Probes

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SLIDE 11

Erik Anderson 11

Principle of Detection Principle of Detection

Transient current

dNTP (e.g. A, T, C, G)

Polymerase

+

A C C A G A T G G T C T A C

H+

Electrode

e-

  • System detects a NON-equilibrium charge distribution
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SLIDE 12

Erik Anderson 12

Polymerization Chemical Reaction Polymerization Chemical Reaction

3’ SAM

  • 5. Induced charge

+

  • 1. Enzyme + dNTP·Mg

+ catalytic Mg2+

  • 4. Liberated H+, PPi·Mg

and catalytic Mg2+

+

H

Double-stranded DNA

5’

O O O Base Base Base

3’

Probe DNA

Base H

  • 3. New fixed

charge

  • 2. Nucleotide

incorporation

P O O O H O : Base O

Primer DNA

P P Mg O O O O O O O H P P Mg P Base O O O O O O O O O O : O O

Not drawn to scale

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SLIDE 13

Erik Anderson 13

Induced Charge Induced Charge

Charge is 0.1 electrode- widths above electrode Immobilize DNA close to electrode to maximize induced charge

Electrode location

What fraction of a charge is induced on a nearby electrode?

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SLIDE 14

Erik Anderson 14

CMOS System Requirements CMOS System Requirements

  • Linear, monotonic signal response
  • “Low power” ( back-of-envelope estimate, ≤ 42

mW)

– Die surface temperature should not rise more than 1 ° C above ambient over 5 minutes

  • “Low noise”

– Amplifier noise ≤ other system noise contributions

  • Electrode area large enough for spotting DNA
  • nto electrodes ( ≥ 100 – 200 square m)
  • Easy post-processing
  • ±1 V swing at output (use thick gate-oxide

devices)

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SLIDE 15

Erik Anderson 15

CMOS Architecture CMOS Architecture

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SLIDE 16

Erik Anderson 16

OTA OTA

Vb Vb Vb In- In+ Vo,lo

Vb Vb Vb Vo Vhi Vlo Vcm In+ In-

Vb In+ In- Vo,hi

Common-mode feedback Bias Bias Input

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SLIDE 17

Erik Anderson 17

OTA Specs OTA Specs

250 kHz Unity Gain 1.7 mW Power per pixel 110 dB PSRR- 70 dB PSRR+ 110 dB CMRR 75° Phase Margin 82 dB Gain(Vo = -1V) 63 dB Gain(Vo = 1V) 110 dB Gain 0.18 m CMOS (3.3V devices) Technology Simulated for typical corner at 75 ° C

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SLIDE 18

Erik Anderson 18

Reset Logic Reset Logic

Used to extend dynamic range

Saturation Detector

  • +
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SLIDE 19

Erik Anderson 19

Easy Post Easy Post-

  • Processing

Processing

Polymer that we apply Passivation from fab Silicon Electrode in top metal Standard CMOS fab

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SLIDE 20

Erik Anderson 20

Temporal Noise Temporal Noise

  • Noise spectral density is not the right analysis
  • Signal is observed in time → want time domain noise
  • Temporal noise = variance of noise at a particular

instant in time

= Temporal noise

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SLIDE 21

Erik Anderson 21

Electronic Noise Contributions Electronic Noise Contributions

kHz GBW 250 =

Hz nV Vn 22

2 =

Hz fA In 1

2 =

pF C 30

1 =

pF C 30

1 =

K T 300 = pA Iavg 1 =

pF C 30

1 =

6.0 V Shot 11.7 V

  • Cap. Reset

10.5 V Thermal Current 19.5 V Thermal Voltage 244 V Flicker

Comments Value @1 sec Equation

Hz f 1

min =

kHz f 250

max = 2 10

10 4 . 2 V K f

× =

2

2 n

  • V

A ω ) ln( 2

min max

ω ω

f

K

1

C kT

2 1 int 2

C t In

2 1 int

2 C t qIavg

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SLIDE 22

Erik Anderson 22

Die Photo + Test Board Die Photo + Test Board

Bondwires encapsulated in epoxy Die Pixel

300 m

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SLIDE 23

Erik Anderson 23

Minimum Detectable Current Minimum Detectable Current

Noise from enzymatic buffer dominates electronic noise

  • Enzymatic buffer noise is

constant w.r.t. integration time ~830 V RMS

  • Limit of detection with buffer is

25 fC

  • Corresponds to biological

limit of detection of 8 ng/mL (worst case)

  • Crosstalk dominated by system

noise → not measurable

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SLIDE 24

Erik Anderson 24

Measured Signal from CMOS Chip Measured Signal from CMOS Chip

  • Target concentration 10 g/mL

Probe: GTG CCA AGT ACA TAT GAC CCT ACT

Exposed segment

CAC GGT TCA TGT ATA CTG GGA TGA CCA TAC CTG TAC GAC TCG AGT GAC GAG ACG GCG TA

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SLIDE 25

Erik Anderson 25

Conclusions Conclusions

  • Designed first CMOS DNA polymerization

sensor

– Targeted to low-cost, point-of-care applications – Demonstrated sensor could detect useful concentrations

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SLIDE 26

Erik Anderson 26

Supplemental Supplemental

  • Following slides are supplemental
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SLIDE 27

Erik Anderson 27

Future Applications Future Applications

  • Clinical, point-of-care diagnostics
  • Personalized medicine

– Enabled by low cost fab techniques

  • Pathogen detection
  • Short segment DNA sequencing

– Sequentially add nucleotides and observe the signal

  • Simple Nucleotide Polymorphism (SNP) Detection

– SNP = an alteration in a few nucleotides, e.g. AAAA vs. ATAA – SNPs form 99.77% of all genetic variation

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SLIDE 28

Erik Anderson 28

Pathogen Detection Pathogen Detection

A A G C T T A A G C T T T T C G A A T G C A T T C G A A T G C A C C G C T T C C G C T T

Spot 1 Spot 2 Polymerase Add A, T, G, C

A

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SLIDE 29

Erik Anderson 29

SNP Detection SNP Detection

A A G C T T A A G C T T T T C G A A T G C A T T C G A A T G C A

Spot 1 Spot 2 Polymerase

A G G C T T A G G C T T

  • Trick is to make the mutation part of the target
  • Add nucleotides and read out a signal at spots where SNP is present

Add A, T, G, C

A

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SLIDE 30

Erik Anderson 30

Short Segment Sequencing Short Segment Sequencing

  • Sequentially add bases
  • Wash away unused bases between additions

A A G C T T A A G C T T T T C G A A T G C A T T C G A A T G C A C C G C T T C C G C T T G G C G A A G G C A

Spot 1 Spot 2

G G C G A A G G C A A A

A T C

C C C C

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SLIDE 31

Erik Anderson 31

Thermal Issues Thermal Issues

  • Does the power dissipation adversely affect operation?
  • Must keep surface heating low enough so that…
  • chemical reaction can still occur
  • buffer does not evaporate
  • DNA denaturing not a problem, i.e. double strand → 2 single strands
  • Denaturing occurs at high temperatures, ~ 55 °

C or higher

  • Enzyme “activity” is affected by temperature
  • “activity” = rate of enzyme performing its function
  • 43 mW → 0.5 °

C change measured over 5 minutes, buffer still present CMOS heat source

Power dissipation not a problem → no change necessary

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SLIDE 32

Erik Anderson 32

Some Electronic Some Electronic Microarrays Microarrays

Dill, Biosensor & Bioelectronics, 2004. An Electroactive enzyme (HRP) generates a current flow into the electrode. Capacitance measurement. Stagni, JSSC 2006. Redox cycling generates current. Schienle, JSSC 2004

  • Electronic approaches integrate the

microarray chip with the “reader”

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SLIDE 33

Erik Anderson 33

Immobilizing DNA Immobilizing DNA

2 Ways

  • 1. Build up ssDNA nucleotide-by-nucleotide using photolithography and

chemistry

  • Requires ~4n masks, n = sequence length (25-mer → 100 masks)
  • 2. “Spot” DNA onto location by depositing a droplet of liquid
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SLIDE 34

Erik Anderson 34

Surface Chemistry Surface Chemistry

  • 1. Wash surface with acetone and iso-propanol for 1 minute each
  • 2. 3 minute exposure to UV-ozone
  • 3. Surface immersed in 5% (w/w) (chloromethyl)phenylethyltrimethoxysilane

in ethanol solution with gentle shaking for 12 hours

  • 4. Rinsed with ethanol 3 times and dried in air
  • 5. 100 M solution of probe oligonucleotides in phosphate buffer saline at pH

7.4 (0.01M sodium phosphate, 1.0 M NaCl) was manually spotted onto the microchips and kept in a humidifier overnight, immobilizing the probes above the electrodes

  • 6. Unattached probes washed away in DI water
  • 7. Chips blocked with 50 mM ethanolamine solution for 2 hours at room

temperature

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SLIDE 35

Erik Anderson 35

Diffusion Diffusion-

  • based Crosstalk

based Crosstalk

  • Why does crosstalk increase with time at larger

separations when it decreases with smaller separations?

  • Look at the induced voltage. Smaller separations are

affected by a reflecting boundary.

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SLIDE 36

Erik Anderson 36

On Pulse Shapes On Pulse Shapes

  • Possible causes of variation in height and width

– DNA crowding – Spots not identical – dNTPs diffuse to each spot – varying distance – Distribution of polymerase

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SLIDE 37

Erik Anderson 37

Quantization Noise Quantization Noise

12

2

Noise Power =

For a 5V range

  • 12 bits → 352 V
  • 16 bits → 22 V
  • 24 bits → 86 nV

For a 3.3V range

  • 12 bits → 232 V
  • 16 bits → 15 V
  • 24 bits → 57 nV
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SLIDE 38

Erik Anderson 38

Electronic Noise (Theoretical vs. Measured) Electronic Noise (Theoretical vs. Measured)

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SLIDE 39

Erik Anderson 39

Correlated Double Sampling Correlated Double Sampling

  • Popular technique in image

sensor read out circuits

  • Sample integrator output at

beginning and end of integration period and subtract

  • Cancels thermal reset noise of

integration capacitor and partially cancels 1/f noise Can CDS reduce noise?

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SLIDE 40

Erik Anderson 40

Correlated Double Sampling? Correlated Double Sampling?

  • Correlated double sampling does not have much of an affect above 100 ms.
  • Assumes no noise added by CDS

Dotted = with CDS Solid = without CDS

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SLIDE 41

Erik Anderson 41

Number of Probes Number of Probes

  • 1011 – 1012 probes / cm2
  • 90 – 900 Million probes in 300 m square area
  • Probes occupy between 0.4 – 4% of surface

area

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SLIDE 42

Erik Anderson 42

Detection Limit & Noise Detection Limit & Noise

  • Qn/q “noise” charges at electrode
  • Each “real” charge induces f “noise” charges → Qn/(fq) “real” charges
  • Assume 1 signal charge per probe (could get multiple)
  • For P probes on the electrode → θ = Qn/(fqP) is the required fraction of

“bound” probes

  • From Langmuir-Isotherm theory, θ = [target]bulk/([target]bulk + Kd ) where Kd =

ratio of forward and reverse rate constants

  • [target]bulk = Kd Qn /(fqP)
  • P = 90 – 900 million, q = 1.6e-19, Qn = 25 fC, Kd = 10pM-10nM (depends on

many factors, e.g. probe length, target length)

  • [target]bulk= 8 ng/mL (Kd = 10nM, P = 90 million, f = 0.5) worst case
  • [target]bulk= 40 fg/mL (Kd = 10pM, P = 900 million, f = 1) best case
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SLIDE 43

Erik Anderson 43

Comparison with other Work Comparison with other Work

  • Look at other CMOS DNA chips
  • [1] Detected 31 g/mL at SNR=3∗
  • [2] not reported
  • [3] Detected ?? at SNR=1.5∗
  • This work 10 g/mL at SNR=180∗

[1] Stagni et al., IEEE Sensors, 2007. [2] Schienle et al., JSSC 2006 [3] Stagni et al., JSSC 2006

∗ = label-free

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SLIDE 44

Erik Anderson 44

Diffusion Coefficients Diffusion Coefficients

  • H+

9000 m2/s

  • K+,Cl-

2000 m2/s

  • Mg2+

1400 m2/s

  • Source: Kovacs Micromachined Transducers,

CRC Table