project goals reality time $$ technology From challenge… …to happy ending? The Devil is in the Details: Core Adventures in Implementing a New Analytical Method W E S T E R N A S S O C I AT I O N O F C O R E D I R E C T O R S M E E T I N G SEPTEMBER 12, 2014 Allis Chien, PhD Director, Stanford University Mass Spectrometry allis@stanford.edu SUMS – Stanford University Mass Spectrometry • • • • Established 2000 University-wide core resource 8 staff,12 mass specs, 15K samples/year Application areas: Consultation Proteomics Small Molecules Quantitation Drug Discovery Support Open Access Lab Custom Projects Seely G. Mudd Building Stanford Dean of Research Unit Stanford Cancer Institute Proteomics Shared Resource Vincent Coates Foundation Mass Spectrometry Laboratory Bio-X Mass Spectrometry Core Shared Facility 2 Required Administrative Elements need GETTING A NEW METHOD OFF THE GROUND new method funding technology 4 need Research project: Acute Respiratory Distress Syndrome Project goal: broad, quantitative profiling of common metabolites Challenges: • Large number of metabolites • Diverse metabolite types More than 190,000 patients develop Acute Respiratory Distress Syndrome (ARDS) every year in the United States, which, even in the modern era, carries an appalling mortality rate of 22-40%.... the etiology of ARDS remains incompletely understood and its clinical course hard to predict. Identifying patients at the highest risk for developing ARDS would enable both early treatment and facilitate enrollment in emerging clinical trials. Positives: • Sharp PI, strong in statistics • Access to patients & samples – quality and quantity (200) • Understands variability, need for method validation • Willing to invest in method development/implementation Technology: turnkey method kit for targeted, quantitative analysis of 180 metabolites “The most extensive metabolite assay in the market. Identification and quantification of more than 180 metabolites from 5 different compound classes” [company brochure] tech 6 Funding: Who bears startup costs for new methods? Faculty perspective: “If there is a large upfront cost associated with working with them (i.e. you have to buy some sort of equipment that you don't already own), it would be hard for me to help support it at this point; on the other hand, if it's just a matter of having someone fly over from [Europe], but it's relatively straightforward for your lab to experiment with, I'd be glad to talk about how much that would cost. Certainly doing something with you rather than [Company x] would be great from my perspective for the long-term if the costs can be similar.” funding Are these valid solutions? Core users as a group – build into service rates + Seems logical, for ongoing method development - Usually not equitable First PI to use – paying for the privilege of being first + No lead time required - Heavy burden for a single PI, often not feasible First few PIs – share the cost + Spreads out cost - Difficult to predict & coordinate - Slows down process 7 funding Seed Grant Program Request verbiage: “A pilot grant program would address several needs simultaneously. Such a program could consist of several small competitive awards per year (e.g. $5-10K each), with the goal of putting together solid mass spec preliminary data for research grant proposals. The funds would certainly support the service center, but unlike a straight subsidy, such a program would raise awareness, increase involvement, and encourage exploration. It would also support staff development by showcasing the collaborative nature of modern mass spectrometry-based research. Similar pilot grant programs have been successful at other universities, and would represent a well-placed investment in future research.” December 2012 March 2013 July 2013 September 1, 2013 • Budget request to DoR for Seed Grant Program • Seed Program approved for FY14 • Funding Opportunity Announcement issued • Earliest start date Find a link to the FY15 FOA at http://mass-spec.stanford.edu 8 need, funding ARDS Seed funding proposal Seed grant goals: • Supporting the application of existing capabilities to emerging research areas • Developing new workflows with existing instrumentation base to advance research • Helping PIs generate preliminary data to use in proposals for larger research grants Project aims: 1. Set up metabolite profiling method 2. Verify technical reproducibility via replicates & accuracy via orthogonal measurements 3. Apply method to 200 patient samples Estimated costs: >>$23K total 1. Method setup – › time: $2,500 › materials: $3,500 2. Verification – › time: $4,000 › materials: $2,000 3. Analysis – › time: TBD › materials: $11,000 need new method funding technology Administrative stars align – then scientific work begins December 2013 January 2014 February 2014 • PI project • good fit for kit • potential funding “Background check” discussions with kit provider PI applies for seed funding March 2014 • $20K seed grant awarded • leap of faith • preinstall activity April 2014 3-day installation site visit Acquired Practical Lessons PUTTING A NEW METHOD INTO PRACTICE follow up Murphy’s Law evaluate new method install prepare 11 Evaluation: Commercial kit for metabolite quantitation via LC-MS/MS Appealing: • Covers nearly 200 metabolites – would be time- and cost-prohibitive to develop from scratch • Detailed protocols from sample preparation and MS/MS method setup through data acquisition and analysis • Authentic standards & calibration mixes provided • Company validated the method, has been used in a number of publications evaluate Not so much: • Regimented, loss of flexibility • batch size – 96 well plate • shelf life of months • sample type – only for plasma • limited dynamic range • data analysis workflow • Proprietary method, sparse explanations • Required >$10K investment before testing prepare Make a list, check it twice Don’t assume anything – no detail is too small to ask about and confirm • Applications scientist traveling from Europe for the 2-3 day install • Kits, software shipped ahead of time • Detailed 2-page preinstallation checklist of requirements, including part numbers where relevant: › LC and MS hardware, HPLC column, guard, holder › lab equipment, e.g. evaporator, vortexer, shaker, fume hood, balance › glassware, pipettes › solvents, chemicals › software • Discussed item purposes, possible substitutions • Didn’t think to ask about software versions… 13 install More information enables more & better questions Site visit revelations about proprietary methodology • Quantitation vs. semi-quantitation • Full calibration curve vs. 1 point external calibration • LC-MS/MS vs. flow injection analysis (FIA)-MS/MS April 2014 installation site visit May 2014 Data collection on replicate set Corollaries to Murphy’s Law when implementing a new method 1. It will be more complicated than expected 2. It will take more time than expected 3. It will cost more than expected Murphy’s Law The Software Compatibility Saga • Problem: Versioning conflicts among Windows, Xcalibur, Java, Oracle database, Excel, and proprietary data analysis software • Solution: Custom scripts implemented via remote computer access from Europe • Additional Time: 60 hrs of direct staff time over 2 months • Additional Cost: $6,000 United Kingdom United States Software Requirement: UK English Murphy’s Law Follow through with the plan December 2013 Stars align: • PI project • good fit for kit • potential funding May 2014 Data collection on replicate set January 2014 “Background check” discussions with kit provider …June 2014… February 2014 March 2014 April 2014 PI applies for seed funding $20K seed grant awarded, leap of faith, preinstall activity 3-day installation site visit Software issues Sept. 2014 August 2014 Orthogonal analyses Replicate data released, evaluation in process October 2014 200 patient samples 17 Lessons Learned • • • need • new method funding • • • • • • • technology • Ask more questions Trust and also verify Take the physical location of company personnel into account Build good relationships with support personnel Combine action and patience Keep up with new developments Request funding in terms that align with institutional goals Account for all costs, including materials, staff & instrument time Allow for Murphy’s law when generating cost estimates Evaluate feasibility, possible vs. practical Ask questions Pay attention to details follow through Murphy’s Law evaluate new method install prepare 18 Acknowledgements Angela Rogers Manuel Kratzke SUMS: Chris Adams Ludmila Alexandrova Karolina Krasinska Ryan Leib Theresa McLaughlin Anna Okumu Rachel Wu Dean of Research: Ann Arvin Sara Bible John Brauman Ken Merritt http://mass-spec.stanford.edu Variability Survey & Discussion - A host of factors impact the development of an analytical project. 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