LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS LabAutomation 2006 - SLAS
MP55 Philip Manning Procter & Gamble Pharmaceuticals Norwich, New York manning.pj@pg.com LabAutomation2006 Electronic Data Entry From Microsoft Excel Into an Oracle Based LIMS In a typical scientific laboratory, thousands of result records are generated each day from various instruments and robots. Raw data collected are rarely useful in their original form and calculations must be performed with them to get meaningful results. Often only these calculated results are stored in a Laboratory Information Management System (LIMS). The method to import this data into a LIMS is usually a time consuming, error prone, manual method that is not a good utilization of the Analysts time or expertise. This paper describes an electronic data transfer method specifically from Microsoft Excel to an Oracle based LIMS. However, the source of the data would not have to be Excel - it could be a chromatography application, word processor or any other Windows based application. Benefits of electronic data entry include: reduced data entry time, increased accuracy, better utilization of resources and increased employee job satisfaction by eliminating tedious, non-challenging tasks. MP56 Verónica Martins Centre for Biological and Chemical Engineering Instituto Superior Técnico Lisbon,Portugal veronicamartins@ist.utl.pt Co-Author(s) Luís Fonseca Centre for Biological and Chemical Engineering, Lisbon, Portugal Hugo Ferreira, Daniel Graham, Paulo Freitas INESC – Microsystems and Nanotechnologies Joaquim Cabral Centre for Biological and Chemical Engineering A Magnetoresistive Biochip for Microbial Analysis of Water Samples The present work shows the progresses and the applicability of magnetoresistive biochips allied to nanometer-sized superparamagnetic labels to the detection and quantification of pathogenic microorganisms for water biological quality management. The challenge is to development a portable device that will be able to carry and perform in situ analysis to detect and quantify almost in real-time, as little as a single unit of a pathogenic microorganism. The biochip under development is composed of a silicon substrate with integrated magnetoresistive sensors (spin-valve type) and aluminum current lines. The chip is covered with a 2000 Å silicon dioxide (SiO2) layer, which is used as passivation layer and a suitable surface for immobilization of bioreceptors. The molecular interaction between probes and labeled-targets, is monitorized in almost real-time through the variation of the sensor resistance induced by the magnetic moment of the labels located above the sensor. Salmonella cells were captured by the primary antibody onto chip surface and labeled by a secondary biomolecular recognition using 250 nm sized amino-functionalized Nanomag beads (Micromod, Germany), which were in-house modified with anti-Salmonella antibody. As control an anti-E.coli antibody was used as primary antibody to detect non-specific recognitions. An alternative strategy involving hybridization of 23mer oligonucleotides probes with single stranded complementary DNA sequences bearing a biotin modification in the exposed end, are being prepared. The biotin will be used for labelling with streptavidin-coated 250 nm Nanomag beads (Micromod, Germany) and further detection by the sensor. The goal of this work is to validate and combine both strategies in order to achieve a more sensitive and reliable device. 130
MP57 Andre Marziali University of British Columbia Vancouver, Canada andre@physics.ubc.ca Where Laboratory Technologies Emerge and Merge Co-Author(s) David Broemeling, Joel Pel, Stephen Inglis Neha Shah, Carolyn Cowdell, Gosuke Shibahara Lorne Whitehead A Powerful New Device and Method for Isolating and Pre-Concentrating DNA for Early Detection of Cancer, Disease, and Pathogens Rapid isolation and detection of nucleic acids from exfoliated tumor cells or pathogens in human bodily fluids could lead to improvements in our capacity for early detection and identification of cancer and infectious disease. However, nucleic acid based early diagnosis is limited by the difficulty of extracting low abundance DNA from body fluids that are rich in unwanted contaminants and cellular debris. We have developed a novel instrument for isolating and pre-concentrating nucleic acids from complex samples including blood serum and bodily fluids. This instrument will serve as a front-end to existing detection technologies (e.g. PCR and microarrays) to improve their performance for detection of DNA biomarkers in human samples and thus enable cost-effective early detection of cancer and pathogens. Using a novel method of 2-D nonlinear electrophoresis capable of injecting DNA from an aqueous solution into sieving media with inherent selection parameters, we can achieve powerful separation and high concentration of DNA from contaminants without the clogging difficulties associated with filtration. This technique represents a conceptually new general method for simple, automatable, inexpensive, and selective concentration of nucleic acids directly from raw, unfiltered samples. Other applications of this technology lie in areas of biodefense to act as a front end for biomarker-based pathogen detection systems, as we have demonstrated DNA concentration factors exceeding 10,000 and factors of 106 are expected to be obtainable. This method also allows for concentration of intact high molecular weight DNA with potential applications in areas of metagenomics and drug discovery. MP58 Peyman Najmabadi University of Toronto Toronto, Ontario, Canada najm@mie.utoronto.ca Co-Author(s) Andrew A. Goldenberg Andrew Emili University of Toronto New Flexible Laboratory Automation System Concepts for Biotechnology Research Laboratories Research laboratories are playing a major role in biotechnology. Scientists in these laboratories are performing diverse types of protocols and tend to continuously modify them as part of their research. At the same time, high throughput implementation of experiments is highly demanded. Therefore, flexible automation systems are required to improve the productivity of these laboratories. Most of automation systems available on the market are claimed to be flexible, but still do not address the whole spectrum of needs. This paper is a system level study of hardware flexibility of laboratory automation concepts. Flexibility was systematically modeled through the introduction of three parametric measures: Functional, Structural and Throughput. New quantitative measures for these parameters in the realm of Axiomatic Theory were proposed. The method was employed for flexibility evaluation of currently used automation concepts. Based on the result of this analysis, two new automation concepts were proposed: (i) Total Modular Laboratory Automation, a new approach to implementation of robotic-based laboratory automation systems in which robotic arms are substituted with modular arms. It was shown that this new concept improves structural and throughput flexibility of robotic-based systems; (ii) Distributed Motion Laboratory Automation, a new integration of robotic-based and track-based automation approaches. In this approach, liquid handling and transportation end-effectors are moving on transportation rails. It was shown that this concept improves functional flexibility of track-based systems. As case studies, automation of various protein purification protocols were considered through aforementioned new concepts and their improved flexibility were shown in comparison with traditional concepts. 131
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- Page 106 and 107: MP03 Ismail Al-Abdulmohsen Saudi Ar
- Page 108 and 109: MP07 Varouj Amirkhanian eGene, Inc.
- Page 110 and 111: MP11 Sibani Biswal University of Be
- Page 112 and 113: MP15 Josh Eckman University of Utah
- Page 114 and 115: MP19 Ismet Celebi National Institut
- Page 116 and 117: MP23 Robin Clark deCODE Biostructur
- Page 118 and 119: MP27 J. Colin Cox Duke University M
- Page 120 and 121: MP31 Frank Doffing IMM - Institut f
- Page 122 and 123: MP35 Aoife Gallagher Deerac Fluidic
- Page 124 and 125: MP39 Yunseok Heo University of Mich
- Page 126 and 127: MP43 David Humphries Lawrence Berke
- Page 128 and 129: MP47 Joohoon Kim University of Texa
- Page 130 and 131: MP51 Michelle Li Saint Louis Univer
- Page 134 and 135: MP59 Irena Nikcevic University of C
- Page 136 and 137: MP63 Qiaosheng Pu Virginia Commonwe
- Page 138 and 139: MP67 Alexander Roth National Instit
- Page 140 and 141: MP71 Sang Jun Son University of Mar
- Page 142 and 143: MP75 Lois Tack PerkinElmer Life & A
- Page 144 and 145: MP79 Angelo Trivelli J Craig Venter
- Page 146 and 147: MP83 Tracy Worzella Promega Corpora
- Page 148 and 149: MP87 Peter Greenhalgh Astech Projec
- Page 150 and 151: MP91 David Ferrick Seahorse Bioscie
- Page 152 and 153: MP95 Christine Brideau Merck Frosst
- Page 154 and 155: TP01 Marc Pfeifer Roche Molecular S
- Page 156 and 157: TP05 Marcy Engelstein Millipore Cor
- Page 158 and 159: TP09 Aoife Gallagher Deerac Fluidic
- Page 160 and 161: TP13 Ulrike Honisch Greiner Bio-One
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- Page 164 and 165: TP21 Libby Kellard Millipore Danver
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- Page 168 and 169: TP29 Hanh Le PerkinElmer Life and A
- Page 170 and 171: TP33 Stephen Lowry Thermo Electron
- Page 172 and 173: TP37 Donald J. Nagy California Comp
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- Page 176 and 177: TP45 Nick Price Invitrogen Corporat
- Page 178 and 179: TP49 Michael Raimo Arqule Inc. Wobu
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MP55<br />
Philip Manning<br />
Procter & Gamble Pharmaceuticals<br />
Norwich, New York<br />
manning.pj@pg.com<br />
<strong>LabAutomation</strong><strong>2006</strong><br />
Electronic Data Entry From Microsoft Excel Into an Oracle Based LIMS<br />
In a typical scientific laboratory, thousands of result records are generated each day from various instruments and robots. Raw data<br />
collected are rarely useful in their original form and calculations must be performed with them to get meaningful results. Often only these<br />
calculated results are stored in a Laboratory Information Management System (LIMS). The method to import this data into a LIMS is usually<br />
a time consuming, error prone, manual method that is not a good utilization of the Analysts time or expertise. This paper describes an<br />
electronic data transfer method specifically from Microsoft Excel to an Oracle based LIMS. However, the source of the data would not have<br />
to be Excel - it could be a chromatography application, word processor or any other Windows based application. Benefits of electronic<br />
data entry include: reduced data entry time, increased accuracy, better utilization of resources and increased employee job satisfaction by<br />
eliminating tedious, non-challenging tasks.<br />
MP56<br />
Verónica Martins<br />
Centre for Biological and Chemical Engineering<br />
Instituto Superior Técnico<br />
Lisbon,Portugal<br />
veronicamartins@ist.utl.pt<br />
Co-Author(s)<br />
Luís Fonseca<br />
Centre for Biological and Chemical Engineering, Lisbon, Portugal<br />
Hugo Ferreira, Daniel Graham, Paulo Freitas<br />
INESC – Microsystems and Nanotechnologies<br />
Joaquim Cabral<br />
Centre for Biological and Chemical Engineering<br />
A Magnetoresistive Biochip for Microbial Analysis of Water Samples<br />
The present work shows the progresses and the applicability of magnetoresistive biochips allied to nanometer-sized superparamagnetic labels<br />
to the detection and quantification of pathogenic microorganisms for water biological quality management. The challenge is to development<br />
a portable device that will be able to carry and perform in situ analysis to detect and quantify almost in real-time, as little as a single unit of<br />
a pathogenic microorganism. The biochip under development is composed of a silicon substrate with integrated magnetoresistive sensors<br />
(spin-valve type) and aluminum current lines. The chip is covered with a 2000 Å silicon dioxide (SiO2) layer, which is used as passivation<br />
layer and a suitable surface for immobilization of bioreceptors. The molecular interaction between probes and labeled-targets, is monitorized<br />
in almost real-time through the variation of the sensor resistance induced by the magnetic moment of the labels located above the sensor.<br />
Salmonella cells were captured by the primary antibody onto chip surface and labeled by a secondary biomolecular recognition using 250 nm<br />
sized amino-functionalized Nanomag beads (Micromod, Germany), which were in-house modified with anti-Salmonella antibody. As control an<br />
anti-E.coli antibody was used as primary antibody to detect non-specific recognitions. An alternative strategy involving hybridization of 23mer<br />
oligonucleotides probes with single stranded complementary DNA sequences bearing a biotin modification in the exposed end, are being<br />
prepared. The biotin will be used for labelling with streptavidin-coated 250 nm Nanomag beads (Micromod, Germany) and further detection<br />
by the sensor. The goal of this work is to validate and combine both strategies in order to achieve a more sensitive and reliable device.<br />
130