Identification and characterization of all proteins expressed by a genome i
n biological samples represent major challenges in proteomics. Today's comm
only used high-throughput approaches combine two-dimensional electrophoresi
s (2-DE) with peptide mass fingerprinting (PMF) analysis. Although automati
on is often possible, a number of limitations still adversely affect the ra
te of protein identification and annotation in 2-DE databases: the sequenti
al excision process of pieces of gel containing protein; the enzymatic dige
stion step; the interpretation of mass spectra (reliability of identificati
ons); and the manual updating of 2-DE databases. We present a highly automa
ted method that generates a fully annotated 2-DE map. Using a parallel proc
ess, all proteins of a 2-DE are first simultaneously digested proteolytical
ly and electrotransferred onto a poly(vinylidene difluoride) membrane. The
membrane is then directly scanned by MALDI-TOF MS. After automated protein
identification from the obtained peptide mass fingerprints using PeptIdent
software (http://www.expasy.ch/tools/peptident.html), a fully annotated 2-D
map is created on-line. It is a multidimensional representation of a prote
ome that contains interpreted PMF data in addition to protein identificatio
n results. This "MS-imaging" method represents a major step toward the deve
lopment of a clinical molecular scanner.