Phenotypic clustering of yeast mutants based on kinetochore microtubule dynamics

K. Jaqaman, J. F. Dorn, E. Marco, P. K. Sorger, G. Danuser

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Motivation: Kinetochores are multiprotein complexes which mediate chromosome attachment to microtubules (MTs) of the mitotic spindle. They regulate MT dynamics during chromosome segregation. Our goal is to identify groups of kinetochore proteins with similar effects on MT dynamics, revealing pathways through which kinetochore proteins transform chemical and mechanical input signals into cues of MT regulation. Results: We have developed a hierarchical, agglomerative clustering algorithm that groups Saccharomyces cerevisiae strains based on MT-mediated chromosome dynamics measured by high-resolution live cell microscopy. Clustering is based on parameters of autoregressive moving average (ARMA) models of the probed dynamics. We have found that the regulation of wildtype MT dynamics varies with cell cycle and temperature, but not with the chromosome an MT is attached to. By clustering the dynamics of mutants, we discovered that the three genes IPL1, DAM1 and KIP3 co-regulate MT dynamics. Our study establishes the clustering of chromosome and MT dynamics by ARMA descriptors as a sensitive framework for the systematic identification of kinetochore protein subcomplexes and pathways for the regulation of MT dynamics.

Original languageEnglish (US)
Pages (from-to)1666-1673
Number of pages8
JournalBioinformatics
Volume23
Issue number13
DOIs
StatePublished - Jul 1 2007

Fingerprint

Kinetochores
Microtubules
Mutant
Yeast
Cluster Analysis
Yeasts
Clustering
Chromosomes
Chromosome
Proteins
Protein
Pathway
Multiprotein Complexes
Autoregressive Moving Average Model
Chromosome Segregation
Spindle Apparatus
Autoregressive Moving Average
Hierarchical Clustering
Cell Cycle
Clustering algorithms

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Biochemistry
  • Molecular Biology
  • Computational Mathematics
  • Statistics and Probability

Cite this

Phenotypic clustering of yeast mutants based on kinetochore microtubule dynamics. / Jaqaman, K.; Dorn, J. F.; Marco, E.; Sorger, P. K.; Danuser, G.

In: Bioinformatics, Vol. 23, No. 13, 01.07.2007, p. 1666-1673.

Research output: Contribution to journalArticle

Jaqaman, K. ; Dorn, J. F. ; Marco, E. ; Sorger, P. K. ; Danuser, G. / Phenotypic clustering of yeast mutants based on kinetochore microtubule dynamics. In: Bioinformatics. 2007 ; Vol. 23, No. 13. pp. 1666-1673.
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