Marc R Birtwistle

Summary

Publications

  1. doi request reprint Mammalian protein expression noise: scaling principles and the implications for knockdown experiments
    Marc R Birtwistle
    Mount Sinai School of Medicine, Dept of Pharmacology and Systems Therapeutics, New York, NY 10029, USA
    Mol Biosyst 8:3068-76. 2012
  2. pmc Linear approaches to intramolecular Förster resonance energy transfer probe measurements for quantitative modeling
    Marc R Birtwistle
    Systems Biology Ireland, University College Dublin, Belfield, Republic of Ireland
    PLoS ONE 6:e27823. 2011
  3. pmc Emergence of bimodal cell population responses from the interplay between analog single-cell signaling and protein expression noise
    Marc R Birtwistle
    Dept of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    BMC Syst Biol 6:109. 2012

Collaborators

Detail Information

Publications3

  1. doi request reprint Mammalian protein expression noise: scaling principles and the implications for knockdown experiments
    Marc R Birtwistle
    Mount Sinai School of Medicine, Dept of Pharmacology and Systems Therapeutics, New York, NY 10029, USA
    Mol Biosyst 8:3068-76. 2012
    ..This has implications for the interpretation of knockdown experiments when the readout is a single cell measure...
  2. pmc Linear approaches to intramolecular Förster resonance energy transfer probe measurements for quantitative modeling
    Marc R Birtwistle
    Systems Biology Ireland, University College Dublin, Belfield, Republic of Ireland
    PLoS ONE 6:e27823. 2011
    ..Thus, our results suggest that either FLIM or ratiometric methods based on R(alt) are the preferred techniques for obtaining quantitative data from FRET probe experiments for mathematical modeling purposes...
  3. pmc Emergence of bimodal cell population responses from the interplay between analog single-cell signaling and protein expression noise
    Marc R Birtwistle
    Dept of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    BMC Syst Biol 6:109. 2012
    ..Here, we apply deterministic and probabilistic models and biochemical measurements to study how network topologies and cell-to-cell protein abundance variations interact to shape signaling responses...