High-content screening data management for drug discovery in a small- to medium- size laboratory: Results of a collaborative pilot study focused on user expectations as indicators of effectiveness

Cynthia A. Berlinicke, Christopher F. Ackermann, Steve H. Chen, Christoph Schulze, Yakov Shafranovich, Sahiti Myneni, Vimla L. Patel, Jian Wang, Donald J. Zack, Mikael Lindvall, G. Steven Bova

Research output: Contribution to journalArticle

Abstract

High-content screening (HCS) technology provides a powerful vantage point to approach biological problems; it allows analysis of cell parameters, including changes in cell or protein movement, shape, or texture. As part of a collaborative pilot research project to improve bioscience research data integration, we identified HCS data management as an area ripe for advancement. A primary goal was to develop an integrated data management and analysis system suitable for small- to medium-size HCS programs that would improve research productivity and increase work satisfaction. A system was developed that uses Labmatrix, a Webbased research data management platform, to integrate and query data derived from a Cellomics STORE database. Focusing on user expectations, several barriers to HCS productivity were identified and reduced or eliminated. The impact of the project on HCS research productivity was tested through a series of 18 lab-requested integrated data queries, 7 of which were fully enabled, 7 partially enabled, and 4 enabled through data export to standalone data analysis tools. The results are limited to one laboratory, but this pilot suggests that through an "implementation research" approach, a network of small- to medium-size laboratories involved in HCS projects could achieve greater productivity and satisfaction in drug discovery research.

Original languageEnglish (US)
Pages (from-to)255-265
Number of pages11
JournalJournal of Laboratory Automation
Volume17
Issue number4
DOIs
StatePublished - Dec 1 2012

Keywords

  • Bioscience laboratory data management research
  • Drug discovery
  • High-content screening
  • Implementation research
  • Vision research

ASJC Scopus subject areas

  • Computer Science Applications
  • Medical Laboratory Technology

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