MICROBORE REVERSED-PHASE HIGH-PERFORMANCE LIQUID-CHROMATOGRAPHIC PURIFICATION OF PEPTIDES FOR COMBINED CHEMICAL SEQUENCING-LASER-DESORPTIONMASS-SPECTROMETRIC ANALYSIS
C. Elicone et al., MICROBORE REVERSED-PHASE HIGH-PERFORMANCE LIQUID-CHROMATOGRAPHIC PURIFICATION OF PEPTIDES FOR COMBINED CHEMICAL SEQUENCING-LASER-DESORPTIONMASS-SPECTROMETRIC ANALYSIS, Journal of chromatography, 676(1), 1994, pp. 121-137
An optimized microbore RP-HPLC system (1.0 mm I.D. columns) for the pu
rification of low picomole amounts (<5 pmol) of peptides is described.
It is comprised of commercially available columns, instrument compone
nts and parts. These were selected on the basis of a comparative evalu
ation and to yield the highest resolution and most efficient peak coll
ection. The sensitivity of this system equals, probably surpasses, tha
t of advanced chemical microsequencing for which 2-4 pmol of peptide a
re minimally required. As an automated sequencer cannot be ''on-line''
connected with a micro-preparative HPLC system, fractions must be col
lected and transferred. With a typical flow of 30 mu l, efficient manu
al collection is possible and fractions (about 20 mu l in volume) can
still be handled without unacceptable losses, albeit with great precau
tion. Furthermore, major difficulties were encountered to efficiently
and quantitatively load low- or sub-picomole amounts of peptide mixtur
es onto the RP-HPLC column for separation. Discipline and rigorous adh
erence to sample handling protocols are thus on order when working at
those levels of sensitivity. With adequate instrumentation and handlin
g procedures in place, we demonstrate that low picomole amounts of pep
tides can now be routinely prepared for analysis by combined Edman-che
mical sequencing-matrix-assisted laser-desorption mass spectrometry (M
ALDI-MS). The integrated method was applied to covalent structural cha
racterization of minute quantities of a gel-purified protein of known
biological function but unknown identity. The results allowed unambigu
ous identification and illustrated the power of MALDI-MS-aided interpr
etation of chemical sequencing data: accurate peptide masses were cruc
ial for (i) confirmation of the results, (ii) deconvolution of mixed s
equences, (iii) proposal of complete structures on the basis of partia
l sequences, and (iv) confirmation of protein identification (obtained
by database search with a single, small stretch of peptide sequence)
by ''mass matching'' of several more peptides with predicted proteolyt
ic fragments.