CytoSys: A tool for extracting cell-cycle-related expression dynamics from static data

Jayant Avva, Michael C. Weis, Radina P. Soebiyanto, James W. Jacobberger, Sree N. Sreenath

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

Computational models of biological processes are important building blocks in Systems Biology studies. Calibration and validation are two important steps for moving a mathematical model to a computational model. While calibration refers to finding numerical value of the coefficients such as rate constants in a mathematical model, validation refers to verifying that the calibrated model behaves the same as the biological system under previously unseen conditions such as environmental changes (e.g., drug treatment) or mutations. In lieu of direct measurements of rate constants, modeling of the molecular mechanisms that govern biological behaviors may be able to use dynamic expression profiles of reactant biomolecules for calibration. For validation, similar data, obtained under new conditions, are probably better than direct measurements of rate constants. In any case, direct measurement of rate constants is almost always impractical and difficult or impossible. Here, we show a computer-assisted methodology to extract embedded dynamic profiles of cell-cycle proteins from statically sampled, multivariate cytometry data guided by heuristics assembled from canonical cell-cycle knowledge. The methodology is implemented using standard "list mode" cytometry data-processing software followed by CytoSys - a software tool with an easy-to-use graphical interface. We demonstrate the use of CytoSys with a case study of exponentially growing, human erythroleukemia cells and extract the dynamic expression profiles of cyclin A for calibrating an existing deterministic mathematical model of the cell cycle.

Original languageEnglish (US)
Title of host publicationSignal Transduction Immunohistochemistry: Methods and Protocols
Pages171-193
Number of pages23
Volume717
DOIs
StatePublished - 2011
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume717
ISSN (Print)10643745

Fingerprint

Calibration
Cell Cycle
Theoretical Models
Software
Biological Phenomena
Cyclin A
Leukemia, Erythroblastic, Acute
Cell Cycle Proteins
Systems Biology
Cell Extracts
Mutation
Pharmaceutical Preparations
Heuristics

Keywords

  • Cell cycle
  • Dynamic time and expression profiles
  • Flow cytometry
  • In silico
  • Model calibration
  • ODE

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Medicine(all)

Cite this

Avva, J., Weis, M. C., Soebiyanto, R. P., Jacobberger, J. W., & Sreenath, S. N. (2011). CytoSys: A tool for extracting cell-cycle-related expression dynamics from static data. In Signal Transduction Immunohistochemistry: Methods and Protocols (Vol. 717, pp. 171-193). (Methods in Molecular Biology; Vol. 717). https://doi.org/10.1007/978-1-61779-024-9_10

CytoSys : A tool for extracting cell-cycle-related expression dynamics from static data. / Avva, Jayant; Weis, Michael C.; Soebiyanto, Radina P.; Jacobberger, James W.; Sreenath, Sree N.

Signal Transduction Immunohistochemistry: Methods and Protocols. Vol. 717 2011. p. 171-193 (Methods in Molecular Biology; Vol. 717).

Research output: Chapter in Book/Report/Conference proceedingChapter

Avva, J, Weis, MC, Soebiyanto, RP, Jacobberger, JW & Sreenath, SN 2011, CytoSys: A tool for extracting cell-cycle-related expression dynamics from static data. in Signal Transduction Immunohistochemistry: Methods and Protocols. vol. 717, Methods in Molecular Biology, vol. 717, pp. 171-193. https://doi.org/10.1007/978-1-61779-024-9_10
Avva J, Weis MC, Soebiyanto RP, Jacobberger JW, Sreenath SN. CytoSys: A tool for extracting cell-cycle-related expression dynamics from static data. In Signal Transduction Immunohistochemistry: Methods and Protocols. Vol. 717. 2011. p. 171-193. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-61779-024-9_10
Avva, Jayant ; Weis, Michael C. ; Soebiyanto, Radina P. ; Jacobberger, James W. ; Sreenath, Sree N. / CytoSys : A tool for extracting cell-cycle-related expression dynamics from static data. Signal Transduction Immunohistochemistry: Methods and Protocols. Vol. 717 2011. pp. 171-193 (Methods in Molecular Biology).
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