Method for the affinity purification of covalently linked peptides following cyanogen bromide cleavage of proteins.

The low resolution structure of a protein can sometimes be inferred from information about existing disulfide bridges or experimentally introduced chemical crosslinks. Frequently, this task involves enzymatic digestion of a protein followed by mass spectrometry-based identification of covalently linked peptides. To facilitate this task, we developed a method for the enrichment of covalently linked peptides following the chemical cleavage of a protein. The method capitalizes on the availability of homoserine lactone moieties at the C-termini of cyanogen bromide cleavage products which support selective conjugation of affinity tags. The availability of two C-termini within covalently linked peptides allows for the conjugation of two distinct affinity tags and thereby enables subsequent removal of unmodified peptides by tandem affinity chromatography. Here, we demonstrate the stepwise implementation of this method using a polyhistidine tag and a biotin tag for the selective two-step purification of covalently linked cyanogen bromide fragments from increasingly complex protein samples. The method is independent of the nature of the covalent bond, is adaptable to fully denaturing conditions, and requires only low picomole quantities of starting material.

The in vivo brain interactome of the amyloid precursor protein.

Despite intense research efforts, the physiological function and molecular environment of the amyloid precursor protein has remained enigmatic. Here we describe the application of time-controlled transcardiac perfusion cross-linking, a method for the in vivo mapping of protein interactions in intact tissue, to study the interactome of the amyloid precursor protein (APP). To gain insights into the specificity of reported protein interactions the study was extended to the mammalian amyloid precursor-like proteins (APLP1 and APLP2). To rule out sampling bias as an explanation for differences in the individual datasets, a small scale quantitative iTRAQ (isobaric tags for relative and absolute quantitation)-based comparison of APP, APLP1, and APLP2 interactomes was carried out. An interactome map was derived that confirmed eight previously reported interactions of APP and revealed the identity of more than 30 additional proteins that reside in spatial proximity to APP in the brain. Subsequent validation studies confirmed a physiological interaction between APP and leucine-rich repeat and Ig domain-containing protein 1, demonstrated a strong influence of Ig domain-containing protein 1 on the proteolytic processing of APP, and consolidated similarities in the biology of APP and p75.

Interactome and interface protocol (2IP): a novel strategy for high sensitivity topology mapping of protein complexes.

A few well-characterized protein assemblies aside, little is known about the topology and interfaces of multiconstituent protein complexes. Here we report on a novel indirect strategy for low-resolution topology mapping of protein complexes. Following crosslinking, purified protein complexes are subjected to chemical cleavage with cyanogen bromide (CNBr) and the resulting fragments are resolved by 2-D electrophoresis. The side-by-side comparison of a thus generated and a 2-D CNBr fragment map obtained from uncrosslinked material reveals candidate gel spots harboring crosslinked CNBr fragments. In-gel trypsinization and MALDI MS analysis of these informative spots identify the underlying crosslinked CNBr fragments based on unmodified tryptic peptides. Matching the cumulative theoretical molecular mass and predicted pI of these crosslinked CNBr fragments with original gel spot coordinates is required for confident crosslink assignment. The above strategy was successfully validated with the Escherichia coli RNA polymerase (RNAP) core complex and subsequently applied to query the quaternary structure of components of the yeast Skp1-Cdc53/Cullin-F box (SCF) ubiquitin ligase complex. This protocol requires low picomole sample quantities, can be applied to multisubunit protein complexes, and does not rely on specialized data mining software.