Peptides in membranes: Helicity and hydrophobicity

Synthetic model membrane-interactive peptides—both of natural and designed sequence—have become convenient and systematic tools for determination of how the membrane-spanning segments within integral membrane proteins confer protein structure and biology. Conformational studies on these peptides demonstrate that the α-helix is the natural choice of conformation for a peptide segment in a membrane, and that a helical conformation will arise “automatically” in a peptide above a threshold hydrophobicity that allows it to associate stably with the membrane. Environmental and sequential contexts thus impart conformational versatility to many of the amino acids, thereby providing a mechanism for producing the diverse structural and functional properties of proteins. © 1994 John Wiley & Sons, Inc.     

Transport and processing of staphylococcal alpha-toxin

Two larger precursors to staphylococcal alpha-toxin were identified and partially characterized. Both precursor proteins were present on the cell membrane at very low levels and appeared to be rapidly processed to the mature form. Dinitrophenol inhibited processing such that the two precursors accumulated in the membranes, whereas little extracellular (mature) alpha-toxin is formed. The peptide maps of the 35S-labeled peptides from extracellular alpha-toxin and the two precursors were almost identical. The larger precursor protein contained four additional peptides and the smaller precursor protein contained three additional peptides not found in the extracellular toxin.     

Definition and characterization of a "trypsinosome" from specific peptide characteristics by nano-HPLC-MS/MS and in silico analysis of complex protein mixtures

Although HPLC-ESI-MS/MS is rapidly becoming an indispensable tool for the analysis of peptides in complex mixtures, the sequence coverage it affords is often quite poor. Low protein expression resulting in peptide signal intensities that fall below the limit of detection of the MS system in combination with differences in peptide ionization efficiency plays a significant role in this. A second important factor stems from differences in physicochemical properties of each peptide and how these properties relate to chromatographic retention and ultimate detection. To identify and understand those properties, we compared data from experimentally identified peptides with data from peptides predicted by in silico digest of all corresponding proteins in the experimental set. Three different complex protein mixtures extracted were used to define a training set to evaluate the amino acid retention coefficients based on linear regression analysis. The retention coefficients were also compared with other previous hydrophobic and retention scale. From this, we have constructed an empirical model that can be readily used to predict peptides that are likely to be observed on our HPLC-ESI-MS/MS system based on their physicochemical properties. Finally, we demonstrated that in silico prediction of peptides and their retention coefficients can be used to generate an inclusion list for a targeted mass spectrometric identification of low abundance proteins in complex protein samples. This approach is based on experimentally derived data to calibrate the method and therefore may theoretically be applied to any HPLC-MS/MS system on which data are being generated.     

Two-dimensional electrophoresis on the layers of cellulose acetate membrane

A new type of two-dimensional electrophoresis for analysis of protein using cellulose acetate membrane has been developed. Prior to the separation, proteins in a sample are concentrated to a narrow zone on a strip of cellulose acetate according to “steady-state stacking” of isotachophoresis. Electroendosmotic counterflow on cellulose acetate membranes is advantageous for the isotachophoretic concentration of large sample volumes. The concentrated protein zone is then subjected to electrophoretic separation on the same strip. This first-dimensional separation including the concentrating process is named “concentrating electrophoresis.” Iso-electric focusing on several layers of cellulose acetate membrane is performed in the second-dimensional step. Many kinds of detection methods can be applied to the layers among which proteins are distributed. The novel two-dimensional electrophoresis takes only 5 h to perform.     

APols-Aided Protein Precipitation: A Rapid Method for Concentrating Proteins for Proteomic Analysis

Amphipols (APols) are a newly designed and milder class of detergent. They have been used primarily in protein structure analysis for membrane protein trapping and stabilization. We have recently demonstrated that APols can be used as an alternative detergent for proteome extraction and digestion, to achieve a “One-stop” single-tube workflow for proteomics. In this workflow, APols are removed by precipitation after protein digestion without depleting the digested peptides. Here, we took further advantage of this precipitation characteristic of APols to concentrate proteins from diluted samples. In contrast with tryptic peptides, a decrease in pH leads to the unbiased co-precipitation of APols with proteins, including globular hydrophilic proteins. We demonstrated that this precipitation is a combined effect of acid precipitation and the APols’ protein interactions. Also, we have been able to demonstrate that APols-aided protein precipitation works well on diluted samples, such as secretome sample, and provides a rapid method for protein concentration.     

Multiple covalent modifications of Trg, a sensory transducer of Escherichia coli

The sensory transducers of Escherichia coli are integral membrane proteins that mediate the tactic response of cells to chemical stimuli. Adaptation to environmental stimuli is correlated with methylation of the transducer proteins. Two transducer genes, tsr and tar, exhibit extensive homologies while no homology has been detected between a third transducer, trg, and those genes. The Tsr and Tar proteins have been shown to contain multiple sites for methylation as well as two sites for another modification that requires an active cheB gene product and is designated the CheB-dependent modification. In this study, covalent modifications of the Trg protein were characterized by analysis of tryptic peptides. We found that methylation occurred at several sites on the Trg protein and that the protein contained at least three sites for CheB-dependent modification, two of which were located on a tryptic peptide that contains both methionine and lysine. This tryptic peptide is analogous to the methionine- and lysine-containing methyl-accepting peptides isolated from the Tsr and Tar proteins and like those peptides may contain several methyl-accepting sites. We estimated the pKa of the group created by the CheB-dependent modification on the methionine- and lysine-containing peptide of Trg to be between pH 2.2 and 5.8. This result supports the idea that the CheB-dependent modification is an enzymatic deamidation of glutamine to glutamic acid.     

A computational approach toward label-free protein quantification using predicted peptide detectability

We propose here a new concept of peptide detectability which could be an important factor in explaining the relationship between a protein's quantity and the peptides identified from it in a high-throughput proteomics experiment. We define peptide detectability as the probability of observing a peptide in a standard sample analyzed by a standard proteomics routine and argue that it is an intrinsic property of the peptide sequence and neighboring regions in the parent protein. To test this hypothesis we first used publicly available data and data from our own synthetic samples in which quantities of model proteins were controlled. We then applied machine learning approaches to demonstrate that peptide detectability can be predicted from its sequence and the neighboring regions in the parent protein with satisfactory accuracy. The utility of this approach for protein quantification is demonstrated by peptides with higher detectability generally being identified at lower concentrations over those with lower detectability in the synthetic protein mixtures. These results establish a direct link between protein concentration and peptide detectability. We show that for each protein there exists a level of peptide detectability above which peptides are detected and below which peptides are not detected in an experiment. We call this level the minimum acceptable detectability for identified peptides (MDIP) which can be calibrated to predict protein concentration. Triplicate analysis of a biological sample showed that these MDIP values are consistent among the three data sets.     

Phage-display screening identifies LMP1-binding peptides targeting the C-terminus region of the EBV oncoprotein

Latent membrane protein 1 (LMP1), a major oncoprotein of Epstein Barr Virus (EBV) is responsible for transforming B lymphocytes in vitro. LMP1 is overexpressed in several EBV-associated malignancies, and different approaches have been developed to reduce its level and accordingly its oncogenic function in tumor tissues. This study aimed to use phage display peptide library to obtain peptides which could specifically bind to the cytoplasmic region of LMP1 to prevent its interaction with signaling proteins. The LMP1 C-terminus region was produced in bacterial E. coli and used as target for the phage library panning. After 3 rounds, 20 phage clones were randomly selected and 8 showed high binding affinity to the recombinant C-terminus LMP1 protein. The most interesting candidates are the FO5 “QPTKDSSPPLRV” and NO4 “STTSPPAVPHNN” peptides since both bind the C-terminus LMP1 as showed by molecular docking. Furthermore, sequence alignment revealed that the FO5 peptide shared sequence similarity with the Death Receptor 4 which belongs to the tumor necrosis factor-related apoptosis-inducing receptor which plays key role in anti-tumor immunity.     

Parameters modulating the maximum insertion pressure of proteins and peptides in lipid monolayers

The lipid monolayer model membrane is useful for studying the parameters responsible for protein and peptide membrane binding. Different approaches have been used to determine the extent of protein and peptide binding to lipid monolayers. This review focuses on the use of the “maximum insertion pressure” (MIP) to estimate the extent of protein and peptide penetration in lipid monolayers. The MIP data obtained with different proteins and peptides have been reviewed and discussed which allowed to draw conclusions on the parameters modulating the monolayer binding of proteins and peptides. In particular, secondary structure components such as amphipathic α-helices of proteins and peptides as well as electrostatic interactions play important roles in monolayer binding. The MIPs have been compared to the estimated lateral pressure of biomembranes which allowed to evaluate the possible association between proteins or peptides with natural membranes. For example, the MIP of a membrane-anchored protein with a glycosylphosphatidylinositol (GPI) was found to be far below the estimated lateral pressure of biomembranes. This allowed us to conclude that this protein is probably unable to penetrate the membrane and should thus be hanged at the membrane surface by use of its GPI lipid anchor. Moreover, the values of MIP obtained with myristoylated and non-myristoylated forms of calcineurin suggest that the myristoyl group does not contribute to monolayer binding. However, the acylation of a peptide resulted in a large increase of MIP. Finally, the physical state of lipid monolayers can have a strong effect on the values of MIP such that it is preferable to perform measurements with lipids showing a single physical state. Altogether the data show that the measurement of the maximum insertion pressure provides very useful information on the membrane binding properties of proteins and peptides although uncertainties must be provided to make sure the observed differences are significant.     

Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures

A novel database search algorithm is presented for the qualitative identification of proteins over a wide dynamic range, both in simple and complex biological samples. The algorithm has been designed for the analysis of data originating from data independent acquisitions, whereby multiple precursor ions are fragmented simultaneously. Measurements used by the algorithm include retention time, ion intensities, charge state, and accurate masses on both precursor and product ions from LC‐MS data. The search algorithm uses an iterative process whereby each iteration incrementally increases the selectivity, specificity, and sensitivity of the overall strategy. Increased specificity is obtained by utilizing a subset database search approach, whereby for each subsequent stage of the search, only those peptides from securely identified proteins are queried. Tentative peptide and protein identifications are ranked and scored by their relative correlation to a number of models of known and empirically derived physicochemical attributes of proteins and peptides. In addition, the algorithm utilizes decoy database techniques for automatically determining the false positive identification rates. The search algorithm has been tested by comparing the search results from a four‐protein mixture, the same four‐protein mixture spiked into a complex biological background, and a variety of other “system” type protein digest mixtures. The method was validated independently by data dependent methods, while concurrently relying on replication and selectivity. Comparisons were also performed with other commercially and publicly available peptide fragmentation search algorithms. The presented results demonstrate the ability to correctly identify peptides and proteins from data independent acquisition strategies with high sensitivity and specificity. They also illustrate a more comprehensive analysis of the samples studied; providing approximately 20% more protein identifications, compared to a more conventional data directed approach using the same identification criteria, with a concurrent increase in both sequence coverage and the number of modified peptides.     

Identification and quantification of peptides and proteins secreted from prostate epithelial cells by unbiased liquid chromatography tandem mass spectrometry using goodness of fit and analysis of variance

The proteins secreted by prostate cancer cells (PC3(AR)6) were separated by strong anion exchange chromatography, digested with trypsin and analyzed by unbiased liquid chromatography tandem mass spectrometry with an ion trap. The spectra were matched to peptides within proteins using a goodness of fit algorithm that showed a low false positive rate. The parent ions for MS/MS were randomly and independently sampled from a log-normal population and therefore could be analyzed by ANOVA. Normal distribution analysis confirmed that the parent and fragment ion intensity distributions were sampled over 99.9% of their range that was above the background noise. Arranging the ion intensity data with the identified peptide and protein sequences in structured query language (SQL) permitted the quantification of ion intensity across treatments, proteins and peptides. The intensity of 101,905 fragment ions from 1421 peptide precursors of 583 peptides from 233 proteins separated over 11 sample treatments were computed together in one ANOVA model using the statistical analysis system (SAS) prior to Tukey-Kramer honestly significant difference (HSD) testing. Thus complex mixtures of proteins were identified and quantified with a high degree of confidence using an ion trap without isotopic labels, multivariate analysis or comparing chromatographic retention times.     

ELECTROPHORETIC SEPARATION OF PURIFIED MYELIN: A METHOD TO IMPROVE THE PROTEIN PATTERN RESOLVING

Myelin sheath is a lipid-rich membrane, consisting of 70% lipid and 30% proteins, that is involved in physiological and pathological processes. For this reason its protein composition has been often investigated, principally by two-dimensional electrophoresis; however, the consistent lipid content makes it difficult to obtain good proteins separation. To improve the resolution of myelin proteins in a denaturing monodimensional gel electrophoresis, we examined several mixtures for the denaturation of the sample, utilizing different detergents and reducing agents. The definition of the protein pattern was analyzed by both “Blue Silver” Coomassie staining and Western Blot analysis against myelin basic protein, one of the most represented myelin proteins. The best resolution is observed when the sample was incubated with a mixture containing 1.25% dithiothreitol, 4 M urea, and 1% dodecyl maltoside or 1 % 3-[(3-cholamidopropyl)-dimethylammonio]-1-propanesulfonate, prior to addition of denaturing agents. In conclusion, this work describes a novel method to improve the separation of myelin proteins in a monodimensional gel electrophoresis. It may be also useful for investigating other lipid-rich samples.     

Improved mass spectrometric identification of gel-separated hydrophobic membrane proteins after sodium dodecyl sulfate removal by ion-pair extraction

Separation and identification of hydrophobic membrane proteins is a major challenge in proteomics. Identification of such sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE)-separated proteins by peptide mass fingerprinting (PMF) via matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) is frequently hampered by the insufficient amount of peptides being generated and their low signal intensity. Using the seven helical transmembrane-spanning proton pump bacteriorhodopsin as model protein, we demonstrate here that SDS removal from hydrophobic proteins by ion-pair extraction prior to in-gel tryptic proteolysis leads to a tenfold higher sensitivity in mass spectrometric identification via PMF, with respect to initial protein load on SDS-PAGE. Furthermore, parallel sequencing of the generated peptides by electrospray ionization-mass spectrometry (ESI-MS) and tandem mass spectrometry (MS/MS) was possible without further sample cleanup. We also show identification of other membrane proteins by this protocol, as proof of general applicability.     

α-Helical transmembrane peptides: A “Divide and Conquer” approach to membrane proteins

α-Helical membrane proteins fulfill many vital roles in all living cells and constitute the majority of drug targets. However, their relevance is in no way paralleled by our current understanding of their structures and functions. This is because membrane proteins present a number of experimental obstacles that are difficult to surmount by classical methods developed for water-soluble proteins. Moreover, membrane proteins are not only challenging on their very own but, when embedded in a biological membrane, also reside in an outstandingly complex milieu. These difficulties have fostered a “divide and conquer” approach, in which a membrane protein is dissected into shorter and easier-to-handle transmembrane (TM) peptides. Under suitable conditions, such peptides fold independently and retain many of the properties displayed in the context of the full-length parent protein.This contribution reviews some of the most notable insights into α-helical membrane proteins gleaned from experiments on protein-derived TM peptides. We recapitulate some peculiar properties of lipid bilayers that render them such a complex and unique environment and discuss generic features pertaining to hydrophobic peptides derived from α-helical membrane proteins. The main part of the review is devoted to a critical discussion of particularly interesting examples of TM peptides studied in membrane-mimetic systems of increasing complexity: isotropic solvents, detergent micelles, lipid bilayers, and biological membranes. The unifying theme is to explore to what extent TM peptides in combination with different membrane-mimetic systems can aid in advancing our knowledge and comprehension of α-helical membrane proteins as well as in developing new pharmacological tools.     

Development and applications of in-gel CNBr/tryptic digestion combined with mass spectrometry for the analysis of membrane proteins

Hydrophobic membrane proteins often have complex functions and are thus of great interest. However, their analysis presents a challenge because they are not readily soluble in polar solvents and often undergo aggregation. We present a sequential CNBr and trypsin in-gel digestion method combined with mass spectrometry for membrane protein analysis. CNBr selectively cleaves methionine residues. But due to the low number of methionines in proteins, CNBr cleavage produces a small number of large peptide fragments with MWs typically >2000, which are difficult to extract from gel pieces. To produce a larger number of smaller peptides than that obtained by using CNBr alone, we demonstrate that trypsin can be used to further digest the sample in gel. The use of n-octyl glucoside (n-OG) to enhance the digestion efficiency and peptide recovery was also studied. We demonstrate that the sensitivity of this membrane protein identification method is in the tens of picomole regime, which is compatible to the Coomassie staining gel-spot visualization method, and is more sensitive than other techniques reported in the literature. This CNBr/trypsin in-gel digestion method is also found to be very reproducible and has been successfully applied for the analysis of complex protein mixtures extracted from biological samples. The results are presented from a study of the analysis of bacteriorhodopsin, nitrate reductase 1 gamma chain, and a complex protein mixture extracted from the endoplasmic recticulum membrane of mouse liver.     

Structural comparison of Neisseria gonorrhoeae outer membrane proteins.

Outer membranes from opaque colonia variants of Neisseria gonorrhoeae P9 contain a major outer membrane protein (protein I) together with one or more of a series of heat-modifiable proteins (proteins II). Proteins I. II, and IIa have been isolated by detergent extraction of outer membranes. Amino acid analysis showed proteins II and IIa to have a very similar composition. Cyanogen bromide cleavage of proteins II and IIa produced a pair of fragments with identical molecular weight and a pari which differed by an amount (0.5K) equivalent to the difference between the intact proteins. Tryptic peptide maps of 125I-labeled proteins II, IIa, and IIb showed many similarities, with only a few peptides unique to any one protein. Peptide maps of protein IIa from cells which had been surface labeled showed that the unique peptides were exposed on the surface. The heat-modifiable proteins thus appear to form a family of proteins with closely related structure probably differing in that part which is exposed on the bacterial surface.     

Comparative analysis of OFFGel,strong cation exchange with pH gradient,and RP at high pH for first‐dimensional separation of peptides from a membrane‐enriched protein fraction

The analysis and quantitation of membrane proteins have proved challenging for proteomics. Although several approaches have been introduced to complement gel‐based analysis of intact proteins, the literature is rather limited in comparing major emerging approaches. Peptide fractionation using IEF (OFFGel), strong cation exchange HPLC using a pH gradient (SCX‐pG), and RP HPLC at high pH, have been shown to increase peptide and protein identification over classic MudPIT approaches. This article compares these three approaches for first‐dimensional separation of peptides using a detergent phase (Triton X‐114) enriched membrane fraction from mouse cortical brain tissue. Results indicate that RP at high pH (pH 10) was superior for the identification of more peptides and proteins in comparison to the OFFGel or the SCX‐pG approaches. In addition, gene ontology analysis (GOMiner) revealed that RP at high pH (pH 10) successfully identified an increased number of proteins with “membrane” ontology, further confirming its suitability for membrane protein analysis, in comparison to SCX‐pG and OFFGel techniques.     

Quantitative proteome analysis using differential stable isotopic labeling and microbore LC-MALDI MS and MS/MS

We demonstrate an approach for global quantitative analysis of protein mixtures using differential stable isotopic labeling of the enzyme-digested peptides combined with microbore liquid chromatography (LC) matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS). Microbore LC provides higher sample loading, compared to capillary LC, which facilitates the quantification of low abundance proteins in protein mixtures. In this work, microbore LC is combined with MALDI MS via a heated droplet interface. The compatibilities of two global peptide labeling methods (i.e., esterification to carboxylic groups and dimethylation to amine groups of peptides) with this LC-MALDI technique are evaluated. Using a quadrupole-time-of-flight mass spectrometer, MALDI spectra of the peptides in individual sample spots are obtained to determine the abundance ratio among pairs of differential isotopically labeled peptides. MS/MS spectra are subsequently obtained from the peptide pairs showing significant abundance differences to determine the sequences of selected peptides for protein identification. The peptide sequences determined from MS/MS database search are confirmed by using the overlaid fragment ion spectra generated from a pair of differentially labeled peptides. The effectiveness of this microbore LC-MALDI approach is demonstrated in the quantification and identification of peptides from a mixture of standard proteins as well as E. coli whole cell extract of known relative concentrations. It is shown that this approach provides a facile and economical means of comparing relative protein abundances from two proteome samples.     

Peptide mapping of heterogeneous protein samples.

A simple two-dimensional electrophoretic method for peptide mapping of heterogeneous protein samples is presented. The reduced and denatured proteins of the mixture are separated in a first dimension by sodium dodecyl sulfate-polyacrylamide slab gel electrophoresis. After completion of the electrophoresis, the whole gel lane is equilibrated in stacking gel buffer and is transferred at right angles onto a second slab gel. A protease solution is overlayed on the gel lane and a partial proteolysis of the proteins to be analyzed is performed during the stacking phase of the second electrophoresis. The second electrophoresis resolves the characteristic pattern of peptides of each individual protein as a series of spots located below the original position of the undigested protein. The peptide maps of the following samples are presented as examples: protein P23 and P23* of bacteriophage T4, membranes of Dictyostelium discoideum, membranes of human erythrocytes, and 35S-labeled proteins of D. discoideum synthesized in vivo or in a cell-free wheat germ extract. In complex samples, up to 20 individual proteins can be analyzed at once and a protein comprising only 1% of the total sample generates a clearly identifiable peptide pattern. Good reproducibility of the patterns obtained allows the comparison of samples of different origins.