Massively parallel signature sequencing (MPSS) as a tool for in-depth quantative gene expression profiling in all organisms

Massively parallel signature sequencing (MPSS) as a tool for in-depth quantative gene expression profiling in all organisms. Reinartz, J., Bruyns, E., Lin, J., Burcham, T., Brenner, S., Bowen, B., Kramer, M., & Woychik, R. Brief Funct Genomic Proteomic, 1(1):95–104, 2002.
abstract bibtex

Massively parallel signature sequencing (MPSS) is one of the newest tools available for conducting in-depth expression profiling. MPSS is an open-ended platform that analyses the level of expression of virtually all genes in a sample by counting the number of individual mRNA molecules producted from each gene. There is no requirement that genes be identified and characterised prior to conducting an experiment. MPSS has a routine sensitivity at a level of a few molecules of mRNA per cell, and the datasets are in a digital format that simplifies the management and analysis of the data. Therefore, of the various microarray and non-microarray technologies currently available, MPSS provides many advantages for generating the type of complete datasets that will help to facilitate hypothesis-driven experiments in the era of digital biology.

@Article{reinartz02massively,
  author    = {Jeannette Reinartz and Eddy Bruyns and Jing-Zhong Lin and Tim Burcham and Sydney Brenner and Ben Bowen and Michael Kramer and Rick Woychik},
  title     = {Massively parallel signature sequencing ({MPSS}) as a tool for in-depth quantative gene expression profiling in all organisms},
  journal   = {Brief Funct Genomic Proteomic},
  year      = {2002},
  volume    = {1},
  number    = {1},
  pages     = {95--104},
  abstract  = {Massively parallel signature sequencing (MPSS) is one of the newest tools available for conducting in-depth expression profiling. MPSS is an open-ended platform that analyses the level of expression of virtually all genes in a sample by counting the number of individual mRNA molecules producted from each gene. There is no requirement that genes be identified and characterised prior to conducting an experiment. MPSS has a routine sensitivity at a level of a few molecules of mRNA per cell, and the datasets are in a digital format that simplifies the management and analysis of the data. Therefore, of the various microarray and non-microarray technologies currently available, MPSS provides many advantages for generating the type of complete datasets that will help to facilitate hypothesis-driven experiments in the era of digital biology.},
  file      = {ReinartzEtAl_MPSSToolIndepth_BFGP_2002.pdf:2002/ReinartzEtAl_MPSSToolIndepth_BFGP_2002.pdf:PDF},
  optmonth  = feb,
  owner     = {apervukh},
  timestamp = {2007.04.10},
}

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