title: Statistical lower bounds on protein copy number from fluorescence expression images.
abstract: BACKGROUND
  Fluorescence imaging has become a commonplace for quantitatively measuring mRNA or protein expression in cells and tissues. However, such expression data are usually relative-absolute concentrations or molecular copy numbers are typically not known. While this is satisfactory for many applications, for certain kinds of quantitative network modeling and analysis of expression noise, absolute measures of expression are necessary.
  
  
  RESULTS
  We propose two methods for estimating molecular copy numbers from single uncalibrated expression images of tissues. These methods rely on expression variability between cells, due either to steady-state fluctuations or unequal distribution of molecules during cell division, to make their estimates. We apply these methods to 152 protein fluorescence expression images of Drosophila melanogaster embryos during early development, generating copy number estimates for 14 genes in the segmentation network. We also analyze the effects of noise on our estimators and compare with empirical findings. Finally, we confirm an observation of Bar-Even et al., made in the much different setting of Saccharomyces cerevisiae, that steady-state expression variance tends to scale with mean expression.
  
  
  BACKGROUND
  The data are all drawn from FlyEx (explained within), and is available at http://flyex.ams.sunysb.edu/FlyEx/.
authors: Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada.
authors: Lee
authors: L
authors: Zamparo
authors: Theodore J
authors: TJ
authors: Perkins
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D004331:Drosophila melanogaster / Q000235:genetics / Q000378:metabolism; D005453:Fluorescence; D020869:Gene Expression Profiling / Q000379:methods*; D015233:Models, Statistical; D011506:Proteins / Q000737:chemistry* / Q000235:genetics*; D012333:RNA, Messenger / Q000378:metabolism; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism
chemical_list: D011506:Proteins; D012333:RNA, Messenger