LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS LabAutomation 2006 - SLAS
TP53 Jim Schools Biosero, Inc Monrovia, California jimschools@bioseroinc.com Tom Gilman, Biosero, Inc. LabAutomation2006 A Rapid Global Access System for High Throughput Automation The SpaceLab is a new vertically integrated platform for laboratory automation. The Spacelab uses vertical space for the placement of instruments and labware and therefore optimizes the use of valuable laboratory floor and bench space. The system uses a precision gantry robot to rapidly move labware, and features a dual gripper design to help achieve high throughput. The system can be fully contained and have controlled environment such as HEPA filtration, nitrogen environment, temperature control, or even Class-II type control for protection of the operator and the contents. Spacelab systems are modular and can easily be positioned as multiple units that can transfer labware back and forth. The system is designed to fit through standard doors to improve the simplicity and efficiency of installation. The Spacelab is controlled and scheduled by Overlord software from PAA. The Overlord software for lab automation has an available driver set for more than 200 instruments on the market, meaning the user can select the individual components that work the best for their required assay and not be tied to a single vendor. Spacelab also features a modular design that allows the user to change the instruments and quickly set up the system for a different application. The Spacelab was developed to meet the continuing needs for assay automation and is especially suited to cell-based assays used for high content screening or high content analysis. TP54 Paula Selley Glaxosmithkline Durham, North Carolina paula.k.selley@gsk.com Co-Author(s) Strum, Jay Bruner, Jimmy Smith, Ginger Maurio, Frank Graham, K. Michelle GlaxoSmithKline Automated Solutions for Total RNA Isolation from Diverse Sample Types In response to the increasing demands to generate larger amounts of quality gene expression data faster, we have automated a number of our lab processes. One of the most resource intensive steps in conducting gene expression studies is the isolation of total RNA. Historically, automated methods that can handle the diversity of sample size and quality have not been successfully applied, leaving manual processing as the only option. We have incorporated several automated solutions for isolating total RNA in our lab. For blood collected in PAXgene tubes, we have successfully employed the Qiagen BioRobot8000, which can process up to 96 samples per run. For total RNA from cells we have adapted a 96-well plate Solid Phase Extraction (SPE) method using Promega SV96 reagents on the Biomek FX, capable of isolating from one to ten plates of RNA from cell lysates. Finally, if starting from tissues, we utilize a semi-automated method where a Genogrinder or Mixer Mill is used to generate a tissue lysate and an Autogen robot performs an automated Trizol extraction. Following the isolation of total RNA, the quality, including gDNA contamination and quantity of the RNA, is evaluated through a series of semi-automated methods. The use of automation in place of manual isolation has led to more consistent and reproducible results, specifically in terms of yield and quality. In applying automation to the laborious steps of gene expression analysis, we have been able to significantly increase our throughput while maintaining data integrity. 178
TP55 Eric Shain Abbott Molecular Des Plaines, Illinois eric.shain@abbott.com Where Laboratory Technologies Emerge and Merge Automation of Results Validity Checking on the m2000 Real Time PCR System The Abbott m2000 system (not available in the U.S.) uses a novel, robust data reduction approach that allows analysis of real time PCR signals and confirmation of results validity for the IVD market without need for user interaction or inspection. Historically, analysis of PCR reactions has required visual inspection of the analyzed PCR growth curves to assure reliable results. The m2000 data reduction algorithm utilizes both a threshold based analysis (Ct method), and a curve shape analysis (MaxRatio method) to analyze real time PCR signals. An automatic baseliner handles transients in early cycles as well as early rising signals associated with high concentration samples. While the Ct method provides linear and precise quantitation, it can be sensitive to anomalies in the baseline portion of the signal. The MaxRatio method is an alternative algorithm for analyzing real time PCR signals that is highly robust to signal anomalies. It calculates quantitative cycle numbers independent of Ct as well as a relative measure of reaction efficiency. These measures assure reliable reactive/non-reactive determinations for a PCR reaction and also check the quality of the Ct value. In addition, curve shape analysis within the MaxRatio method can provide an indication of reaction normality/abnormality. Result validity is evaluated on several levels including the integrity of the raw fluorescence signals, amplification curve shape analysis, cycle number validity, internal control evaluation and plate controls. TP56 Chris Bridge DNA Research Innovations Ltd Kent Science Park, United Kingdom chris.bridge@invitrogen.com Co-Author(s) M, Crow M.Baker Nucleic Acid Purification From a Variety of Biological Samples Using ChargeSwitch ® Technology in Coated Plate Format In recent years there has been a drive towards higher and higher throughput in automated nucleic acid purification techniques. Here we present a purification method specifically designed for integration into high throughput automation processes. ChargeSwitch ® chemistry has been applied to 96 and 384 well microtitre plates to enable single-tube processing of a wide range of biological samples, offering fast, efficient quantification-free purification directly into downstream applications such as PCR amplification or cycle sequencing. 179
- Page 130 and 131: MP51 Michelle Li Saint Louis Univer
- Page 132 and 133: MP55 Philip Manning Procter & Gambl
- 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
- Page 162 and 163: TP17 Michael Gary Jackson Beckman-C
- Page 164 and 165: TP21 Libby Kellard Millipore Danver
- Page 166 and 167: TP25 Joseph Kofman Pfizer San Diego
- 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
- Page 174 and 175: TP41 Clifford Olson Zinsser Analyti
- Page 176 and 177: TP45 Nick Price Invitrogen Corporat
- Page 178 and 179: TP49 Michael Raimo Arqule Inc. Wobu
- Page 182 and 183: TP57 Darcy Shave Waters Corporation
- Page 184 and 185: TP61 Robert Stanaker Perkin Elmer D
- Page 186 and 187: TP65 Henrik Svennberg Astrazeneca R
- Page 188 and 189: TP69 Paige Vinson Thermo Electron C
- Page 190 and 191: TP73 Thomas Weierstall Qiagen Gmbh
- Page 192 and 193: TP77 Susan Yan Pierce Biotechnology
- Page 194 and 195: TP81 Wayne Bowen TTP LabTech Melbou
- Page 196 and 197: TP85 Evan F. Cromwell Blueshift Bio
- Page 198 and 199: TP89 Wanli Xing Tsinghua University
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TP53<br />
Jim Schools<br />
Biosero, Inc<br />
Monrovia, California<br />
jimschools@bioseroinc.com<br />
Tom Gilman, Biosero, Inc.<br />
<strong>LabAutomation</strong><strong>2006</strong><br />
A Rapid Global Access System for High Throughput Automation<br />
The SpaceLab is a new vertically integrated platform for laboratory automation. The Spacelab uses vertical space for the placement of<br />
instruments and labware and therefore optimizes the use of valuable laboratory floor and bench space. The system uses a precision gantry<br />
robot to rapidly move labware, and features a dual gripper design to help achieve high throughput.<br />
The system can be fully contained and have controlled environment such as HEPA filtration, nitrogen environment, temperature control, or<br />
even Class-II type control for protection of the operator and the contents. Spacelab systems are modular and can easily be positioned as<br />
multiple units that can transfer labware back and forth. The system is designed to fit through standard doors to improve the simplicity and<br />
efficiency of installation.<br />
The Spacelab is controlled and scheduled by Overlord software from PAA. The Overlord software for lab automation has an available<br />
driver set for more than 200 instruments on the market, meaning the user can select the individual components that work the best for their<br />
required assay and not be tied to a single vendor. Spacelab also features a modular design that allows the user to change the instruments<br />
and quickly set up the system for a different application.<br />
The Spacelab was developed to meet the continuing needs for assay automation and is especially suited to cell-based assays used for<br />
high content screening or high content analysis.<br />
TP54<br />
Paula Selley<br />
Glaxosmithkline<br />
Durham, North Carolina<br />
paula.k.selley@gsk.com<br />
Co-Author(s)<br />
Strum, Jay<br />
Bruner, Jimmy<br />
Smith, Ginger<br />
Maurio, Frank<br />
Graham, K. Michelle<br />
GlaxoSmithKline<br />
Automated Solutions for Total RNA Isolation from Diverse Sample Types<br />
In response to the increasing demands to generate larger amounts of quality gene expression data faster, we have automated a number<br />
of our lab processes. One of the most resource intensive steps in conducting gene expression studies is the isolation of total RNA.<br />
Historically, automated methods that can handle the diversity of sample size and quality have not been successfully applied, leaving manual<br />
processing as the only option. We have incorporated several automated solutions for isolating total RNA in our lab. For blood collected<br />
in PAXgene tubes, we have successfully employed the Qiagen BioRobot8000, which can process up to 96 samples per run. For total<br />
RNA from cells we have adapted a 96-well plate Solid Phase Extraction (SPE) method using Promega SV96 reagents on the Biomek FX,<br />
capable of isolating from one to ten plates of RNA from cell lysates. Finally, if starting from tissues, we utilize a semi-automated method<br />
where a Genogrinder or Mixer Mill is used to generate a tissue lysate and an Autogen robot performs an automated Trizol extraction.<br />
Following the isolation of total RNA, the quality, including gDNA contamination and quantity of the RNA, is evaluated through a series<br />
of semi-automated methods. The use of automation in place of manual isolation has led to more consistent and reproducible results,<br />
specifically in terms of yield and quality. In applying automation to the laborious steps of gene expression analysis, we have been able to<br />
significantly increase our throughput while maintaining data integrity.<br />
178