Automated microscopy screen to identify components required for mitotic cell cycle progression in human cells

Daniel R. Rines, Mariana Gomez, Yingyao Zhou, Paul DeJesus, Seanna Grob, Serge Batalov, Marc Labow, Dieter Huesken, Craig Mickanin, Jonathan Half, Mischa Reinhardt, Francois Natt, Joerg Lange, David J. Sharp, Sumit K. Chanda, Jeremy S. Caldwell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We designed an image-based screen using automated microscopy to discover genetic factors essential for mitotic progression. Using a human genome-wide RNAi library, we performed a loss-offunction screen looking for siRNAs that arrest cells in metaphase. Supervised clustering of the multiparametric morphological data with gene ontology (GO) annotations, protein families, tissue expression and protein-protein interactions functionally classified these genes into discrete mitotic processes involved in spindle assembly. We used this approach to rapidly identify important novel genes based on their association with known genes in the clusters. We present here the automated methods used to identify these components.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages1112-1115
Number of pages4
DOIs
StatePublished - 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Country/TerritoryUnited States
CityArlington, VA
Period4/12/074/15/07

Keywords

  • Biological cells
  • Biomedical image processing
  • Biomedical imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Medicine

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