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Massively parallel signature sequencing (MPSS) as a tool for in-depth quantitative gene expression profiling in all organisms
Author(s) -
Jeannette Reinartz,
Eddy Bruyns,
Jing-Zhong Lin,
Tim Burcham,
Sydney Brenner,
Ben Bowen,
Michael H. Kramer,
Richard P. Woychik
Publication year - 2002
Publication title -
briefings in functional genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.22
H-Index - 67
eISSN - 2041-2647
pISSN - 2041-2649
DOI - 10.1093/bfgp/1.1.95
Subject(s) - biology , gene expression profiling , computational biology , massively parallel , massive parallel sequencing , gene , profiling (computer programming) , microarray , microarray analysis techniques , gene expression , dna microarray , genetics , dna sequencing , computer science , parallel computing , operating system
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 produced 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.

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