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Journal of Lipid Research logoLink to Journal of Lipid Research
. 2009 May;50(5):781–786. doi: 10.1194/jlr.R900005-JLR200

Thematic Review Series: Proteomics. Proteomic analysis of lipid-protein complexes

Tomas Vaisar 1,1
PMCID: PMC2666164  PMID: 19229074

Abstract

There is intense interest in comprehensive proteomic approaches for analyzing integral membrane proteins and lipoproteins. Key features of mass spectrometric analysis center on enriching biological material for proteins of interest, efficiently digesting them, extracting the resulting peptides, and using fractionation methods to comprehensively sample proteins or peptides by tandem mass spectrometry. However, lipid-associated proteins are generally rich in hydrophobic domains and are often low in abundance. These features, together with the associated lipid, make their mass spectrometric analysis technically challenging. In this article, we review analytical strategies for successful proteomic analysis of lipid-associated proteins.

Keywords: integral membrane proteins, lipoproteins, mass spectrometry


Now that the genomes of humans and many model organisms have been fully sequenced, scientists must determine the molecular and cellular functions of the hundreds of thousands of proteins encoded by those genomes. They would also like to explain how the proteins cooperate or otherwise interact in complex physiological systems and how inappropriate interactions trigger human disease. These important biological problems are the central focus of the rapidly emerging field of proteomics, the study of protein expression, structure, and function.

Mass spectrometry (MS) is a powerful tool for proteomics because it can identify and quantify hundreds or even thousands of proteins in complex biological samples. To study peptides and proteins with MS, it is necessary to vaporize these normally involatile compounds. Therefore, a key element in the development of MS-based proteomics, recognized by the 2002 Nobel Prize in Chemistry, was the discovery of methods for introducing peptides and proteins into the gas phase (1, 2).

The two most common ionization techniques are ESI and MALDI. ESI is typically applied to analytes in the liquid phase and is often used in concert with separation techniques, such as reverse-phase chromatography. Therefore, it is well suited to the analysis of complex mixtures. MALDI, which uses laser pulses to vaporize analytes embedded in a crystalline matrix, is generally applied to relatively simple mixtures of peptides or proteins.

Although protein identification based on tandem mass spectrometric (MS/MS) analysis of intact proteins is an ideal approach, this so-called “top-down” proteomic method (3) is still being developed and is not amenable to large-scale investigations. Most proteomic studies take a “bottom-up” approach (4) by first digesting proteins with a protease (typically trypsin). The resulting small peptides are much more amenable to separation [typically by liquid chromatography (LC)] and MS/MS analysis.

Two general approaches have evolved for protein analysis: gel-based proteomics and gel-free proteomics. The first methodology is widely used by biological investigators and involves various forms of electrophoretic gel-based separations, primarily one-dimensional (e.g., SDS-PAGE) or two-dimensional electrophoresis (2DE). Separated protein spots (or proteolytic digests of spots) are extracted from the gel and identified by MS. The second approach, often termed shotgun proteomics, takes advantage of facile coupling of liquid-phase separation techniques, primarily LC, with ESI-MS/MS (5). Methods for analyzing many types of biological samples, including soluble cellular proteins and body fluids (plasma, urine, and cerebrospinal fluid), are well established for both gel-based and gel-free approaches.

Proteins associated with lipids are more difficult to analyze with proteomic methods. These proteins play many essential roles in biological systems. Integral membrane proteins mediate interactions of a cell with its environment as well as interactions among various intracellular compartments and a wide range of other cellular processes. In order for proteins to embed themselves into membranes and fulfill these functions, they assemble an outer surface that is rich in hydrophobic amino acids. Their rigid transmembrane domains often contain α-helices or β-barrels.

Apolipoproteins, which complex with lipids to form lipoproteins, are another class of lipid-associated proteins. They play essential roles in the biology and metabolism of LDL and HDL, which are of central importance in cholesterol metabolism in vivo. Like integral membrane proteins, apolipoproteins have the ability to tightly associate with lipid and contain α-helices and β-barrels in their secondary structures (610).

The hydrophobic domains of integral membrane proteins and apolipoproteins, together with the associated lipid, create unique problems for proteomic analysis. Moreover, these proteins are found in complex mixtures that are often dominated by a few very abundant proteins. While associated with lipids, proteins are shielded from efficient proteolytic digestion, and the peptides that are generated often have limited solubility and a strong tendency to aggregate due to their highly hydrophobic nature. This review will summarize current approaches to proteomic analysis of lipid-associated proteins.

PROTEOMICS OF INTEGRAL MEMBRANE PROTEINS

In biological membranes, transmembrane proteins are embedded in a lipid bilayer. The outer membrane of a cell, the plasma membrane, typically consists of 50% lipid and 50% protein by mass (w/w; molar ratio of ∼50:1), but the composition varies widely, depending on the membrane's function. Thus, metabolically active mitochondrial membranes are highly enriched in protein (protein:lipid ratio of 3:1, w/w), whereas neuronal membranes generally contain <20% protein (11).

Integral membrane proteins typically have three major domains: i) an extracellular domain or ectodomain, ii) a hydrophobic domain embedded in the membrane, the trans-membrane domain and iii) a luminal or intracellular domain. Based on their interaction(s) with the membrane, integral membrane proteins are generally classified as single pass (bitopic) or multipass (polytopic). Bitopic proteins have only one transmembrane domain and can be oriented with the N terminus on the outside of the membrane and the C terminus on the luminal side (type I transmembrane proteins) or the other way around (type II transmembrane proteins). Polytopic proteins have several transmembrane domains, and their termini can be on either side of the membrane.

Transmembrane domains are highly structured sequences of amino acids that can assume two major secondary structures: β-barrels or α-helices. β-Barrels are found in only a small fraction of integral membrane proteins and do not usually present major challenge for proteomic analysis (12). In contrast, α-helices, which characterize the majority of integral membrane proteins, are problematic because they are often rigid and highly hydrophobic. Furthermore, integral transmembrane proteins are typically present in low abundance. Thus, it is generally critical to use various enrichment strategies to prepare them for proteomic analysis (13, 14).

Enrichment strategies

These strategies make use of either physical-chemical (ultracentrifugation and phase separation) or biochemical (affinity isolation) principles. The first step typically involves subcellular fractionation to enrich for a specific organelle or whole-membrane fraction. This is often accomplished by gradient density ultracentrifugation with sucrose or sorbitol gradients (15, 16).

Plasma membranes of intact cells can be exposed to cationic colloidal silica, which interacts strongly with phospholipid headgroups (17, 18). The silica selectively coats the extracellular face of the plasma membrane without disrupting the cell. After the cell is lysed, the plasma membrane is harvested by ultracentrifugation. Membranes can also be enriched with a two-phase mixture of polyethylene glycol and dextran. They partition into the hydrophobic polyethylene glycol phase (19).

Affinity-based methods can also enrich fractions in plasma membrane. One method exploits one of the strongest noncovalent interactions in nature: the formation of the biotin-avidin complex (Kd = 10−15 M). Cell-surface proteins are selectively labeled with a biotinylation reagent that cannot penetrate cells. When the cells are lysed and passed over avidin or streptavidin affinity columns, the labeled cell-surface molecules are specifically pulled down (13, 2022). However, caution is needed because samples can easily be contaminated with secreted proteins or cellular debris from the medium. Furthermore, if unreacted reagent persists during lysis, it will label cellular proteins, which therefore will be isolated along with plasma membrane proteins.

Because many integral membrane proteins are decorated with sugars, affinity isolation of glycosylated proteins is another means of enrichment. One approach uses lectin affinity chromatography (23, 24), while others take advantage of the specific reactivity of oxidized glycosyl groups with hydrazine-activated solid supports (25). As with biotinylation, rigorous washing is essential because a number of secreted proteins are also glycosylated.

Successful washing strategies typically include high-pH and high-salt washes to release proteins that associate nonspecifically with integral membrane proteins. At high pH, membrane vesicles unfold and release these contaminants (13, 26) while retaining proteins, such as glycosylphosphatidylinositol-anchored proteins, that specifically bind to membrane.

Membrane lipid and hydrophobic transmembrane domains present major challenges for proteomic analysis. The phospholipid bilayer hampers protein extraction, while insolubility in the aqueous phase limits proteolysis. The structurally rigid, hydrophobic transmembrane domains often aggregate and precipitate after they are liberated from lipid. To alleviate these problems, a number of methods have been developed to remove lipid and solubilize transmembrane proteins.

Delipidation

The most common delipidation method is chloroform/methanol extraction (27). Lipid dissolves efficiently in the chloroform phase, while protein precipitates at the chloroform/methanol interface. A simple alternative is to use acetone, which both precipitates proteins and dissolves most lipids. It should be noted that precipitation with TCA does not remove lipids and should be used only in concert with acetone or chloroform/methanol delipidation. It is also important to note that some proteins are soluble in organic solvents, which may not quantitatively precipitate low-abundance proteins.

Solubilization

Membrane-embedded proteins are most efficiently solubilized with strong ionic detergent, SDS or Triton X-100, chaotropic agents, urea, thiourea or guanidine, or their combination. However, the high concentrations of detergent (0.5–4%) or chaotrope (5–8 M) that is typically required inhibit trypsin. Chaotropic agents also suppress ionization and have to be removed prior to MS analysis (28, 29). Many commonly used detergents (e.g., Triton X-100 and other polyethers) also generate multiple high-abundance ions that interfere with MS analysis.

Ionic detergents are incompatible with isoelectric focusing. The commonly used zwitterionic detergent CHAPS, even at high concentrations and in combination with urea and thiourea, does not efficiently solubilize many integral membrane proteins (30). For efficient solubilization prior to 2DE analysis, sulphobetaine zwitterionic detergents have been used (e.g., ASB-14) (31, 32). Alone or in combination with CHAPS, they were superior to CHAPS alone for solubilizing membrane proteins (3335). In contrast, ionic detergents are fully compatible with SDS-PAGE. Many investigators first fractionate proteins with SDS-PAGE, cut the gel into segments, digest the proteins in the segments, and analyze the resulting peptides with LC-ESI-MS/MS (20, 36).

Most detergents and chaotropic agents at the concentrations needed for efficient solubilization are also incompatible with gel-free proteomic approaches because they inhibit trypsin. Moreover, they interfere with LC-ESI-MS by suppressing ionization and compromising chromatographic separation. While dilution can minimize the adverse effects on proteolysis and chaotropes can be removed by solid-phase extraction of the digested peptides, detergents such as SDS, Triton X-100, and NP-40 are not easily removed. Therefore, alternative detergents have recently been developed. These acid-labile surfactants can be readily degraded by acidification prior to LC-ESI-MS analysis. Commercially available RapiGest (Waters) (37), an SDS analog, and PPS (Protein Discovery) (38), a zwitterionic detergent, are acid-labile and have been reported to increase sequence coverage for integral membrane proteins (37, 39) without compromising enzymatic activity and mass spectrometric analysis.

Organic solvents can also solubilize membranes and membrane proteins. Trypsin is surprisingly tolerant of such solvents, which may even enhance its activity (4042). Organic-aqueous mixtures (typically acetonitrile or methanol) efficiently dissolve phospholipids, and the released proteins can be digested by trypsin. Concentrations of organic solvent up to 90% have been successfully used for trypsinization (41, 42). Organic solvent can be readily removed prior to LC-ESI-MS analysis by evaporation or lyophilyzation. Several studies demonstrated significantly increased coverage of membrane proteins when high concentrations of organic solvents were used for delipidation and protein digestion (40, 43, 44). Organic solvents have also been combined with acid-labile detergents to obtain better results than with traditional chaotropes (39).

Proteolytic digestion

Proteins can also be predigested with cyanogen bromide (CNBr) or chymotrypsin before they are exposed to trypsin. CNBr, which cleaves methionine residues, can be used in concentrated acid solutions under conditions that partly solubilize membranes (4547). The resulting peptides are typically too large for direct LC-ESI-MS analysis, but they can be further digested with trypsin if the acid is first removed by lyophilization. The recent development of new ion dissociation, electron capture dissociation (ECD) (48), and electron transfer dissociation (ETD) (49, 50) methods that efficiently fragment large peptides offers new possibilities for MS analysis of membrane proteins that have been digested with CNBr. In contrast to CNBr, chymotrypsin recognizes hydrophobic and bulky amino acids. It can therefore cleave hydrophobic transmembrane domains, which are often underrepresented in tryptic digests (40).

Finally, the basic conditions used to wash membranes cause their disruption and formation of open sheets (51). This property can be exploited if strongly basic conditions are combined with digestion with proteinase K. This nonspecific protease rapidly digests proteins to dipeptides under optimal conditions. However, at pH >11, its activity is limited, and it yields peptides of 10–20 residues that are suitable for proteomic analysis (52). Furthermore, it generates an overlapping series of peptides, increasing the probability of identifications from MS/MS spectra.

A wide variety of MS approaches have been used to analyze integral membrane protein digests, including direct LC-ESI-MS analysis, MALDI-TOF-MS, and multidimensional protein identification technology. A detailed discussion of these methods can be found elsewhere (13, 14).

PROTEOMICS OF PLASMA LIPOPROTEINS

Lipoproteins are lipid-protein complexes that circulate in blood. Although their primary function is thought to be transport of cholesterol and other lipids, many lines of evidence strongly link them to the immune system and macrophage biology (5356). Traditionally, lipoproteins are characterized by buoyancy in density gradient ultracentrifugation (57). They are classified into four major types: VLDL, intermediate density lipoprotein (IDL), LDL, and HDL (57). The protein content by weight of lipoproteins ranges from ∼10% (VLDL) to ∼50% (HDL). Although lipoproteins are commonly quantified by their cholesterol content, they contain a rich mixture of other lipids, including sphingolipids, cholesteryl esters, triglycerides, and phospholipids.

Lipoprotein particles are spherical. Their nonpolar core of cholesteryl esters and triglycerides is surrounded by an amphipathic layer of phospholipids and free cholesterol. They contain two major classes of apolipoproteins (apo): apoB100 (a large protein found on VLDL, IDL, and LDL) and exchangeable apolipoproteins (found on all classes of lipoprotein particles).

The major protein component of HDL is apoA-I, a 30 kDa exchangeable apolipoprotein. When apoA-I is associated with lipid, almost 70% of its primary sequence is coiled into amphipathic α-helices. Most current models of HDL place apoA-I molecules in an antiparallel double belt wrapping around the lipid core. The phospholipid's hydrophobic fatty acids and polar head groups interact with the protein's amphipathic helices. The several distinct models of apoA-I (9, 10) agree that a single HDL particle contains two to four molecules of apoA-I, depending on its size.

Recent proteomic analyses have revealed that HDL contains 48 or more proteins (56). Many of these are not apolipoproteins, and they are generally present at relatively low abundance. While some of the nonapolipoprotein proteins contain hydrophobic domains, it is unclear how most interact with lipids or each other. While some also have a high α-helical content and may interact with the surface lipids, others may form specific protein–protein complexes.

In contrast to HDL, LDL particles are larger and much richer in lipid (80% by weight). Their major protein is apoB100, one of the biggest known single-chain proteins (550 kDa). In each LDL particle, one molecule of apoB100 wraps around the lipid core and stabilizes the complex (58). Although the precise structure is unclear, it is apparent that most of apoB-100 consists of β-sheets and amphipathic helices, some of which protrude into the lipid core (58). Due to its size and hydrophobicity, lipid-free apoB-100 is insoluble in aqueous solution. To date, proteomic studies have revealed relatively few other proteins in LDL particles (59).

Isolation of lipoproteins

For proteomic analysis, lipoproteins have to be isolated from plasma. Because of their lipid content, they are more buoyant than other plasma proteins, and this property has been used to separate them from both plasma and other classes of lipoproteins. Traditional methods, established by Havel, Eder, and Bragdon (57), use density gradient ultracentrifugation. Alternatively, lipoproteins can be isolated by immunosorption onto antibodies that are specific for dominant proteins of each class. Thus, anti-apoA-I antibodies can be used to isolate HDL particles (60), while anti-apoB100 antibodies yield predominantly LDL particles (61). However, particles isolated by affinity approaches are not identical to those isolated by density ultracentrifugation (62).

While ultracentrifugation modifies lipoprotein particles due to sheer stress and the medium's high ionic strength, affinity isolation tends to copurify nonspecifically associated proteins. Thus, it is critical to include proper controls in proteomic analyses of affinity isolated particles.

Delipidation

Delipidation by the widely used Folch extraction (63), which involves chloroform-methanol and aqueous phases, has been successful in several studies. Karlsson et al. (59) found that extracting lipids from LDL did not increase the number of spots on 2DE gels; however, it did improve resolution. Due to apolipoproteins' high hydrophobicity, however, they could be lost during lipid extraction. Given the limited dynamic range of protein stains in gel-based approaches and the high abundance of single proteins (apoA-I in HDL; apoB100 in LDL, IDL, and VLDL), losses of less abundant proteins would be hard to detect in gel-based analyses. The additional sample preparation step also introduces variability, which makes protein quantification more difficult.

Solubilization and Digestion

Solubilization and digestion present the same difficulties for lipoproteins as for integral membrane proteins. While complexed with lipid, proteins are readily soluble. Once delipidated, many precipitate and aggregate unless high concentrations of chaotropes or strong detergents are used.

The approach to solubilization largely depends on the lipoprotein class and analytical approach. For one-dimensional SDS-PAGE separation of HDL proteins, Laemmli buffer was apparently sufficient to denature and dissociate the lipoprotein particles (64). In several studies, isoelectric focusing on immobilized pH gradients followed by second-dimension SDS-PAGE (64) or by direct protein analysis (6567). Various combinations of urea (9 M urea or 7 M urea with 2 M thiourea) and nonionic (2.5% Triton X-100) or zwitterionic (2% CHAPS) detergents have also been used as solvents. With SDS-PAGE and 2DE, proteins are generally digested in-gel and identified by MALDI-TOF-MS.

To elute intact apolipoproteins from immobilized pH gradient gel strips, one approach used a combination of formic acid, acetonitrile, 2-propanol, and water (65). Approximately 25% of intact HDL protein mass was recovered, whereas conventional methods proved unsuccessful (65). This approach identified seven proteins in HDL, including multiple forms of apoA-I and apoC-III. HDL has similarly been subjected to direct MALDI-TOF-MS analysis without eluting proteins from an immobilized pH gradient strip. The protein cargo of HDL solubilized with 9 M urea/2% CHAPS has also been investigated by MALDI-TOF-MS (64). Collectively, these studies demonstrate that gel-based approaches can detect isoforms of apolipoproteins but have difficulty identifying low-abundance proteins in HDL.

LDL poses a significant problem to gel-based proteomics due to its high molecular weight and the hydrophobicity of apoB100. In contrast to HDL, it requires stronger solubilizing agents to prevent protein precipitation. To separate LDL proteins on SDS-PAGE, Karlsson et al. (59) used a combination of 4% SDS and 20% sucrose. Two-dimensional electrophoretic separation of apoB100 is also problematic. During isoelectric focusing, poorly soluble apoB-100 tends to precipitate near its isoelectric point, which can also compromise separation of other proteins. Furthermore, the size of apoB100 prevents it from entering the gel efficiently and separating in the second dimension.

To avoid these issues, several groups have used gel-free analysis of lipoproteins without prior delipidation and separation. Surface-enhanced laser desorption ionization (SELDI) was used to analyze LDL (68) or HDL (67, 69) that were directly adsorbed onto the SELDI plate. Although this approach successfully identified apolipoproteins, protein identification in SELDI is based on low mass resolution data, which has many limitations. Thus, its applicability to proteomics is limited.

VLDL contains an even smaller proportion of protein than LDL. When VLDL (70) was delipidated and precipitated proteins resolubilized in 4% CHAPS, 2DE analysis identified several exchangeable apolipoproteins, including apoE, apoA-I, apoA-IV, apoM, apoC-I, and apoC-III. Interestingly this study also identified fibrinogen-γ and actin.

To circumvent the complications associated with gel-based approaches, direct analysis of HDL by shotgun proteomics has been attempted. For example, HDL isolated by ultracentrifugation was added directly into ammonium bicarbonate without any delipidation, solubilization, or denaturation agents (71, 72). Using this approach, 14 proteins were identified in HDL (71).

Shotgun proteomics has been applied to HDL proteins precipitated from HDL with 10% TCA (56). After precipitation, proteins were resolubilized in 6 M urea and digested with trypsin. The peptides were then separated by reverse-phase or 2DE liquid chromatography and analyzed with ESI-MS/MS. This study identified 48 proteins in HDL. A similar approach used the acid-labile detergent RapiGest (73).

In contrast to HDL, no published accounts have analyzed LDL by shotgun proteomics.

CONCLUSIONS

Lipid-associated proteins present a unique set of challenges to proteomic analysis. Key features of any MS analysis center on enriching biological material for proteins of interest, efficiently digesting them, extracting the resulting peptides, and using fractionation methods to comprehensively sample proteins or peptides by MS/MS. Integral membrane proteins have been extensively investigated by a number of well-validated protocols. In contrast, analysis of lipoprotein particles has received limited attention, and optimal approaches for comprehensive proteomic analysis are still being developed. Although the lessons learned while analyzing integral membrane proteins will undoubtedly benefit proteomic investigations of lipoproteins, unique features, especially the dominance of a few proteins in each particle type, will require innovative methods for detecting low-abundance proteins in these protein-lipid complexes.

Abbreviations

  • apo, apolipoprotein

  • 2DE, two-dimensional electrophoresis

  • IDL, intermediate density lipoprotein

  • LC, liquid chromatography

  • MS, mass spectrometry

  • MS/MS, tandem mass spectrometry

  • SELDI, surface-enhanced laser desorption ionization

Published, JLR Papers in Press, February 19, 2009.

References

  • 1.Fenn J. B., M. Mann, C. K. Meng, S. F. Wong, and C. M. Whitehouse. 1989. Electrospray ionization for mass spectrometry of large biomolecules. Science. 246 64–71. [DOI] [PubMed] [Google Scholar]
  • 2.Tanaka K. 2003. The Origin of Macromolecule Ionization by Laser Irradiation (Nobel Lecture)13. Angew. Chem. Int. Ed. Engl. 42 3860–3870. [DOI] [PubMed] [Google Scholar]
  • 3.McLafferty F. W., K. Breuker, M. Jin, X. Han, G. Infusini, H. Jiang, X. Kong, and T. P. Begley. 2007. Top-down MS, a powerful complement to the high capabilities of proteolysis proteomics. FEBS J. 274 6256–6268. [DOI] [PubMed] [Google Scholar]
  • 4.Aebersold R., and M. Mann. 2003. Mass spectrometry-based proteomics. Nature. 422 198–207. [DOI] [PubMed] [Google Scholar]
  • 5.Motoyama A., and J. R. Yates III. 2008. Multidimensional LC separations in shotgun proteomics. Anal. Chem. 80 7187–7193. [DOI] [PubMed] [Google Scholar]
  • 6.Saito H., S. Lund-Katz, and M. C. Phillips. 2004. Contributions of domain structure and lipid interaction to the functionality of exchangeable human apolipoproteins. Prog. Lipid Res. 43 350–380. [DOI] [PubMed] [Google Scholar]
  • 7.Silva R. A. G. D., L. A. Schneeweis, S. C. Krishnan, X. Zhang, P. H. Axelsen, and W. S. Davidson. 2007. The structure of apolipoprotein A-II in discoidal high density lipoproteins. J. Biol. Chem. 282 9713–9721. [DOI] [PubMed] [Google Scholar]
  • 8.Tubb M. R., R. A. G. D. Silva, J. Fang, P. Tso, and W. S. Davidson. 2008. A three-dimensional homology model of lipid-free apolipoprotein A-IV using cross-linking and mass spectrometry. J. Biol. Chem. 283 17314–17323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Thomas M. J., S. Bhat, and M. G. Sorci-Thomas. 2008. Three-dimensional models of HDL apoA-I: implications for its assembly and function. J. Lipid Res. 49 1875–1883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Davidson W. S., and T. B. Thompson. 2007. The structure of apolipoprotein A-I in high density lipoproteins. J. Biol. Chem. 282 22249–22253. [DOI] [PubMed] [Google Scholar]
  • 11.Guidotti G. 1972. Membrane proteins. Annu. Rev. Biochem. 41 731–752. [DOI] [PubMed] [Google Scholar]
  • 12.Eichacker L. A., B. Granvogl, O. Mirus, B. C. Muller, C. Miess, and E. Schleiff. 2004. Hiding behind hydrophobicity. Transmembrane segments in mass spectrometry. J. Biol. Chem. 279 50915–50922. [DOI] [PubMed] [Google Scholar]
  • 13.Speers A. E., and C. C. Wu. 2007. Proteomics of integral membrane proteins–theory and application. Chem. Rev. 107 3687–3714. [DOI] [PubMed] [Google Scholar]
  • 14.Lu B., D. B. McClatchy, J. Y. Kim, and J. R. Yates III. 2008. Strategies for shotgun identification of integral membrane proteins by tandem mass spectrometry. Proteomics. 8 3947–3955. [DOI] [PubMed] [Google Scholar]
  • 15.Zhang L., J. Xie, X. Wang, X. Liu, X. Tang, R. Cao, W. Hu, S. Nie, C. Fan, and S. Liang. 2005. Proteomic analysis of mouse liver plasma membrane: use of differential extraction to enrich hydrophobic membrane proteins. Proteomics. 5 4510–4524. [DOI] [PubMed] [Google Scholar]
  • 16.Zhang L. J., X. E. Wang, X. Peng, Y. J. Wei, R. Cao, Z. Liu, J. X. Xiong, X. F. Yin, C. Ping, and S. Liang. 2006. Proteomic analysis of low-abundant integral plasma membrane proteins based on gels. Cell. Mol. Life Sci. 63 1790–1804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chaney L. K., and B. S. Jacobson. 1983. Coating cells with colloidal silica for high yield isolation of plasma membrane sheets and identification of transmembrane proteins. J. Biol. Chem. 258 10062–10072. [PubMed] [Google Scholar]
  • 18.Stolz D. B., and B. S. Jacobson. 1992. Examination of transcellular membrane protein polarity of bovine aortic endothelial cells in vitro using the cationic colloidal silica microbead membrane-isolation procedure. J. Cell Sci. 103 39–51. [DOI] [PubMed] [Google Scholar]
  • 19.Schindler J., and H. G. Nothwang. 2006. Aqueous polymer two-phase systems: effective tools for plasma membrane proteomics. Proteomics. 6 5409–5417. [DOI] [PubMed] [Google Scholar]
  • 20.Zhao Y., W. Zhang, and Y. Kho. 2004. Proteomic analysis of integral plasma membrane proteins. Anal. Chem. 76 1817–1823. [DOI] [PubMed] [Google Scholar]
  • 21.Sostaric E., A. S. Georgiou, C. H. Wong, P. F. Watson, W. V. Holt, and A. Fazeli. 2006. Global profiling of surface plasma membrane proteome of oviductal epithelial cells. J. Proteome Res. 5 3029–3037. [DOI] [PubMed] [Google Scholar]
  • 22.Nunomura K., K. Nagano, C. Itagaki, M. Taoka, N. Okamura, Y. Yamauchi, S. Sugano, N. Takahashi, T. Izumi, and T. Isobe. 2005. Cell surface labeling and mass spectrometry reveal diversity of cell surface markers and signaling molecules expressed in undifferentiated mouse embryonic stem cells. Mol. Cell. Proteomics. 4 1968–1976. [DOI] [PubMed] [Google Scholar]
  • 23.Ghosh D., O. Krokhin, M. Antonovici, W. Ens, K. G. Standing, R. C. Beavis, and J. A. Wilkins. 2004. Lectin affinity as an approach to the proteomic analysis of membrane glycoproteins. J. Proteome Res. 3 841–850. [DOI] [PubMed] [Google Scholar]
  • 24.Atwood III J. A., T. Minning, F. Ludolf, A. Nuccio, D. B. Weatherly, G. Alvarez-Manilla, R. Tarleton, and R. Orlando. 2006. Glycoproteomics of Trypanosoma cruzi trypomastigotes using subcellular fractionation, lectin affinity, and stable isotope labeling. J. Proteome Res. 5 3376–3384. [DOI] [PubMed] [Google Scholar]
  • 25.Zhang H., X. J. Li, D. B. Martin, and R. Aebersold. 2003. Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry. Nat. Biotechnol. 21 660–666. [DOI] [PubMed] [Google Scholar]
  • 26.Josic D., and J. G. Clifton. 2007. Mammalian plasma membrane proteomics. Proteomics. 7 3010–3029. [DOI] [PubMed] [Google Scholar]
  • 27.Wessel D., and U. I. Flugge. 1984. A method for the quantitative recovery of protein in dilute solution in the presence of detergents and lipids. Anal. Biochem. 138 141–143. [DOI] [PubMed] [Google Scholar]
  • 28.Stone, K. L., M. B. LoPresti, and K. R. Williams. 1990. Enzymatic digestion of proteins and HPLC peptide isolation at subnanomolar range. In Laboratory Methodology in Biochemistry: Amino Acid Analysis and Protein Sequencing. C. Fini, A. Floridi, and V. N. Finelli, editors. CRC Press, Boca Raton, FL. 181–206.
  • 29.Bornsen K. O., M. A. Gass, G. J. Bruin, J. H. von Adrichem, M. C. Biro, G. M. Kresbach, and M. Ehrat. 1997. Influence of solvents and detergents on matrix-assisted laser desorption/ionization mass spectrometry measurements of proteins and oligonucleotides. Rapid Commun. Mass Spectrom. 11 603–609. [DOI] [PubMed] [Google Scholar]
  • 30.Rabilloud T. 1998. Use of thiourea to increase the solubility of membrane proteins in two-dimensional electrophoresis. Electrophoresis. 19 758–760. [DOI] [PubMed] [Google Scholar]
  • 31.Babu G. J., D. Wheeler, O. Alzate, and M. Periasamy. 2004. Solubilization of membrane proteins for two-dimensional gel electrophoresis: identification of sarcoplasmic reticulum membrane proteins. Anal. Biochem. 325 121–125. [DOI] [PubMed] [Google Scholar]
  • 32.Henningsen R., B. L. Gale, K. M. Straub, and D. C. DeNagel. 2002. Application of zwitterionic detergents to the solubilization of integral membrane proteins for two-dimensional gel electrophoresis and mass spectrometry. Proteomics. 2 1479–1488. [DOI] [PubMed] [Google Scholar]
  • 33.Molloy M. P. 2000. Two-dimensional electrophoresis of membrane proteins using immobilized pH gradients. Anal. Biochem. 280 1–10. [DOI] [PubMed] [Google Scholar]
  • 34.Molloy M. P., B. R. Herbert, B. J. Walsh, M. I. Tyler, M. Traini, J. C. Sanchez, D. F. Hochstrasser, K. L. Williams, and A. A. Gooley. 1998. Extraction of membrane proteins by differential solubilization for separation using two-dimensional gel electrophoresis. Electrophoresis. 19 837–844. [DOI] [PubMed] [Google Scholar]
  • 35.Molloy M. P., N. D. Phadke, J. R. Maddock, and P. C. Andrews. 2001. Two-dimensional electrophoresis and peptide mass fingerprinting of bacterial outer membrane proteins. Electrophoresis. 22 1686–1696. [DOI] [PubMed] [Google Scholar]
  • 36.Rahbar A. M., and C. Fenselau. 2005. Unbiased examination of changes in plasma membrane proteins in drug resistant cancer cells. J. Proteome Res. 4 2148–2153. [DOI] [PubMed] [Google Scholar]
  • 37.Yu Y. Q., M. Gilar, P. J. Lee, E. S. Bouvier, and J. C. Gebler. 2003. Enzyme-friendly, mass spectrometry-compatible surfactant for in-solution enzymatic digestion of proteins. Anal. Chem. 75 6023–6028. [DOI] [PubMed] [Google Scholar]
  • 38.Norris J. L., M. J. Hangauer, N. A. Porter, and R. M. Caprioli. 2005. Nonacid cleavable detergents applied to MALDI mass spectrometry profiling of whole cells. J. Mass Spectrom. 40 1319–1326. [DOI] [PubMed] [Google Scholar]
  • 39.Chen E. I., D. McClatchy, S. K. Park, and J. R. Yates III. 2008. Comparisons of mass spectrometry compatible surfactants for global analysis of the mammalian brain proteome. Anal. Chem. 80 8694–8701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Fischer F., D. Wolters, M. Rogner, and A. Poetsch. 2006. Toward the complete membrane proteome: high coverage of integral membrane proteins through transmembrane peptide detection. Mol. Cell. Proteomics. 5 444–453. [DOI] [PubMed] [Google Scholar]
  • 41.Russell W. K., Z. Y. Park, and D. H. Russell. 2001. Proteolysis in mixed organic-aqueous solvent systems: applications for peptide mass mapping using mass spectrometry. Anal. Chem. 73 2682–2685. [DOI] [PubMed] [Google Scholar]
  • 42.Strader M. B., D. L. Tabb, W. J. Hervey, C. Pan, and G. B. Hurst. 2006. Efficient and specific trypsin digestion of microgram to nanogram quantities of proteins in organic-aqueous solvent systems. Anal. Chem. 78 125–134. [DOI] [PubMed] [Google Scholar]
  • 43.Blonder J., T. P. Conrads, L. R. Yu, A. Terunuma, G. M. Janini, H. J. Issaq, J. C. Vogel, and T. D. Veenstra. 2004. A detergent- and cyanogen bromide-free method for integral membrane proteomics: application to Halobacterium purple membranes and the human epidermal membrane proteome. Proteomics. 4 31–45. [DOI] [PubMed] [Google Scholar]
  • 44.Blonder J., M. B. Goshe, R. J. Moore, L. Pasa-Tolic, C. D. Masselon, M. S. Lipton, and R. D. Smith. 2002. Enrichment of integral membrane proteins for proteomic analysis using liquid chromatography-tandem mass spectrometry. J. Proteome Res. 1 351–360. [DOI] [PubMed] [Google Scholar]
  • 45.Washburn M. P., D. Wolters, and J. R. Yates III. 2001. Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nat. Biotechnol. 19 242–247. [DOI] [PubMed] [Google Scholar]
  • 46.Speers A. E., A. R. Blackler, and C. C. Wu. 2007. Shotgun analysis of integral membrane proteins facilitated by elevated temperature. Anal. Chem. 79 4613–4620. [DOI] [PubMed] [Google Scholar]
  • 47.Prinz T., J. Muller, K. Kuhn, J. Schafer, A. Thompson, J. Schwarz, and C. Hamon. 2004. Characterization of low abundant membrane proteins using the protein sequence tag technology. J. Proteome Res. 3 1073–1081. [DOI] [PubMed] [Google Scholar]
  • 48.Zubarev R. A., A. R. Zubarev, and M. M. Savitski. 2008. Electron capture/transfer versus collisionally activated/induced dissociations: solo or duet? J. Am. Soc. Mass Spectrom. 19 753–761. [DOI] [PubMed] [Google Scholar]
  • 49.Good D. M., M. Wirtala, G. C. McAlister, and J. J. Coon. 2007. Performance characteristics of electron transfer dissociation mass spectrometry. Mol. Cell. Proteomics. 6 1942–1951. [DOI] [PubMed] [Google Scholar]
  • 50.Han C. L., C. W. Chien, W. C. Chen, Y. R. Chen, C. P. Wu, H. Li, and Y. J. Chen. 2008. A multiplexed quantitative strategy for membrane proteomics: opportunities for mining therapeutic targets for autosomal dominant polycystic kidney disease. Mol. Cell. Proteomics. 7 1983–1997. [DOI] [PubMed] [Google Scholar]
  • 51.Howell K. E., and G. E. Palade. 1982. Hepatic Golgi fractions resolved into membrane and content subfractions. J. Cell Biol. 92 822–832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Wu C. C., and J. R. Yates III. 2003. The application of mass spectrometry to membrane proteomics. Nat. Biotechnol. 21 262–267. [DOI] [PubMed] [Google Scholar]
  • 53.Laberge M. A., K. J. Moore, and M. W. Freeman. 2005. Atherosclerosis and innate immune signaling. Ann. Med. 37 130–140. [DOI] [PubMed] [Google Scholar]
  • 54.Barter P. J., S. Nicholls, K. A. Rye, G. M. Anantharamaiah, M. Navab, and A. M. Fogelman. 2004. Antiinflammatory properties of HDL. Circ. Res. 95 764–772. [DOI] [PubMed] [Google Scholar]
  • 55.Shiflett A. M., J. R. Bishop, A. Pahwa, and S. L. Hajduk. 2005. Human high density lipoproteins are platforms for the assembly of multi-component innate immune complexes. J. Biol. Chem. 280 32578–32585. [DOI] [PubMed] [Google Scholar]
  • 56.Vaisar T., S. Pennathur, P. S. Green, S. A. Gharib, A. N. Hoofnagle, M. C. Cheung, J. Byun, S. Vuletic, S. Kassim, P. Singh, et al. 2007. Shotgun proteomics implicates protease inhibition and complement activation in the antiinflammatory properties of HDL. J. Clin. Invest. 117 746–756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Havel R. J., H. A. Eder, and J. H. Bragdon. 1955. The distribution and chemical composition of ultracentrifugally separated lipoproteins in human serum. J. Clin. Invest. 34 1345–1353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Prassl R., and P. Laggner. 2009. Molecular structure of low density lipoprotein: current status and future challenges. Eur. Biophys. J. 38 145–158. [DOI] [PubMed] [Google Scholar]
  • 59.Karlsson H., P. Leanderson, C. Tagesson, and M. Lindahl. 2005. Lipoproteomics I: mapping of proteins in low-density lipoprotein using two-dimensional gel electrophoresis and mass spectrometry. Proteomics. 5 551–565. [DOI] [PubMed] [Google Scholar]
  • 60.Kunitake S. T., C. T. Carilli, K. Lau, A. A. Protter, J. Naya-Vigne, and J. P. Kane. 1994. Identification of proteins associated with apolipoprotein A-I-containing lipoproteins purified by selected-affinity immunosorption. Biochemistry. 33 1988–1993. [DOI] [PubMed] [Google Scholar]
  • 61.Zechner R., R. Moser, and G. M. Kostner. 1986. Isolation of pure LpB from human serum. J. Lipid Res. 27 681–686. [PubMed] [Google Scholar]
  • 62.Kostner G. M. 1983. Apolipoproteins and lipoproteins of human plasma: significance in health and in disease. Adv. Lipid Res. 20 1–43. [PubMed] [Google Scholar]
  • 63.Folch J., M. Lees, and G. H. Sloane Stanley. 1957. A simple method for the isolation and purification of total lipides from animal tissues. J. Biol. Chem. 226 497–509. [PubMed] [Google Scholar]
  • 64.Rezaee F., B. Casetta, J. H. Levels, D. Speijer, and J. C. Meijers. 2006. Proteomic analysis of high-density lipoprotein. Proteomics. 6 721–730. [DOI] [PubMed] [Google Scholar]
  • 65.Farwig Z. N., A. V. Campbell, and R. D. Macfarlane. 2003. Analysis of high-density lipoprotein apolipoproteins recovered from specific immobilized pH gradient gel pI domains by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Anal. Chem. 75 3823–3830. [DOI] [PubMed] [Google Scholar]
  • 66.Ogorzalek Loo R. R., L. Yam, J. A. Loo, and V. N. Schumaker. 2004. Virtual two-dimensional gel electrophoresis of high-density lipoproteins. Electrophoresis. 25 2384–2391. [DOI] [PubMed] [Google Scholar]
  • 67.Stahlman M., P. Davidsson, I. Kanmert, B. Rosengren, J. Boren, B. Fagerberg, and G. Camejo. 2008. Proteomics and lipids of lipoproteins isolated at low salt concentrations in D2O/sucrose or in KBr. J. Lipid Res. 49 481–490. [DOI] [PubMed] [Google Scholar]
  • 68.Davidsson P., J. Hulthe, B. Fagerberg, B. M. Olsson, C. Hallberg, B. Dahllof, and G. Camejo. 2005. A proteomic study of the apolipoproteins in LDL subclasses in patients with the metabolic syndrome and type 2 diabetes. J. Lipid Res. 46 1999–2006. [DOI] [PubMed] [Google Scholar]
  • 69.Levels J. H., B. Bleijlevens, F. Rezaee, J. M. Aerts, and J. C. Meijers. 2007. SELDI-TOF mass spectrometry of high-density lipoprotein. Proteome Sci. 5 15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Mancone C., L. Amicone, G. M. Fimia, E. Bravo, M. Piacentini, M. Tripodi, and T. Alonzi. 2007. Proteomic analysis of human very low-density lipoprotein by two-dimensional gel electrophoresis and MALDI-TOF/TOF. Proteomics. 7 143–154. [DOI] [PubMed] [Google Scholar]
  • 71.Heller M., E. Schlappritzi, D. Stalder, J. M. Nuoffer, and A. Haeberli. 2007. Compositional protein analysis of high density lipoproteins in hypercholesterolemia by shotgun LC-MS/MS and probabilistic peptide scoring. Mol. Cell. Proteomics. 6 1059–1072. [DOI] [PubMed] [Google Scholar]
  • 72.Heller M., D. Stalder, E. Schlappritzi, G. Hayn, U. Matter, and A. Haeberli. 2005. Mass spectrometry-based analytical tools for the molecular protein characterization of human plasma lipoproteins. Proteomics. 5 2619–2630. [DOI] [PubMed] [Google Scholar]
  • 73.Green P. S., T. Vaisar, S. Pennathur, J. J. Kulstad, A. B. Moore, S. Marcovina, J. Brunzell, R. H. Knopp, X-Q. Zhao, and J. W. Heinecke. 2008. Combined statin and niacin therapy remodels the high-density lipoprotein proteome. Circulation. 118 1259–1267. [DOI] [PMC free article] [PubMed] [Google Scholar]

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