title: Automation, parallelism, and robotics for proteomics.
abstract: The speed of the human genome project (Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C. et al., Nature 2001, 409, 860-921) was made possible, in part, by developments in automation of sequencing technologies. Before these technologies, sequencing was a laborious, expensive, and personnel-intensive task. Similarly, automation and robotics are changing the field of proteomics today. Proteomics is defined as the effort to understand and characterize proteins in the categories of structure, function and interaction (Englbrecht, C. C., Facius, A., Comb. Chem. High Throughput Screen. 2005, 8, 705-715). As such, this field nicely lends itself to automation technologies since these methods often require large economies of scale in order to achieve cost and time-saving benefits. This article describes some of the technologies and methods being applied in proteomics in order to facilitate automation within the field as well as in linking proteomics-based information with other related research areas.
authors.affiliation: Division of Health Sciences and Technology, HST, Harvard Medical School and Massachusetts Institute of Technology, Boston, MA 02115, USA. ga@alum.mit.edu
authors.forename: Gil
authors.initials: G
authors.lastname: Alterovitz
authors.forename: Jonathan
authors.initials: J
authors.lastname: Liu
authors.forename: Jijun
authors.initials: J
authors.lastname: Chow
authors.forename: Marco F
authors.initials: MF
authors.lastname: Ramoni
mesh_terms: D000818:Animals; D001331:Automation; D004587:Electrophoresis, Agar Gel; D013058:Mass Spectrometry; D051379:Mice; D040081:Protein Array Analysis; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics / Q000295:instrumentation / Q000379:methods*; D012371:Robotics / Q000295:instrumentation / Q000379:methods*
chemical_list: D011506:Proteins