Increasing proteome coverage for gel‐based human tear proteome maps: towards a more comprehensive profiling

In situations where the molecular mechanism of many ocular disorders is unknown, owing to the difficulties associated with sampling from ocular tissues, human tear film can be a promising medium in ophthalmic research. The present study demonstrates an in‐depth gel‐based proteome optimization survey to approach more appropriate and efficient systems in various situations such as normal and dry‐eye syndromes. Therefore, systematic and statistical evaluations were performed on different preparation methods, including acetone, acetone–methanol, chloroform–methanol–water, trichloroacetic acid (TCA)–acetone, tri‐n‐butylphosphate–acetone–methanol precipitations and ammonium sulfate fractionation at three different percentages of saturations (50, 70 and 90%). Methods were compared quantitatively on both one‐ and two‐dimensional patterns. Some important parameters such as total protein recovery yield, densitometric analysis of some protein contaminants, banding patterns and total spot numbers along with statistical models for proper clustering were considered. Findings revealed noticeable impacts of preparation methods on all aspects of gel‐based separations as well as recovery yield (ranging from 5.29 ± 0.96 to 22.56 ± 1.77 µg/mm) and banding and pattern resolution. In addition to all these, the most important point is that the total protein spot number on the final two‐dimensional patterns (varied from 528.00 ± 19.00 to 657.00 ± 21.52 for different methods) were also noticeably increased in comparison with previously published reports (maximum of 250 spots), which is essential for a more comprehensive analysis. Increasing the proteome coverage in the present study is supposed to originate from improved solubility and effective rehydration during the sample application and isoelectric focusing (IEF) procedure along with proper sample preparation. Copyright © 2014 John Wiley & Sons, Ltd.     

Improvement of gel‐separated protein identification by DMF‐assisted digestion and peptide recovery after electroblotting

In‐gel digestion of gel‐separated proteins is a major route to assist in proteomics‐based biological discovery, which, however, is often embarrassed by its inherent limitations such as the low digestion efficiency and the low recovery of proteolytic peptides. For overcoming these limitations, many efforts have been directed at developing alternative methods to avoid the in‐digestion. Here, we present a new method for efficient protein digestion and tryptic peptide recovery, which involved electroblotting gel‐separated proteins onto a PVDF membrane, excising the PVDF bands containing protein of interest, and dissolving the bands with pure DMF (≥99.8%). Before tryptic digestion, NH₄HCO₃ buffer was added to moderately adjust the DMF concentration (to 40%) in order for trypsin to exert its activity. Experimental results using protein standards showed that, due to actions of DMF in dissolving PVDF membrane and the membrane‐bound substances, the proteins were virtually in‐solution digested in DMF‐containing buffer. This protocol allowed more efficient digestion and peptide recovery, thereby increasing the sequence coverage and the confidence of protein identification. The comparative study using rat hippocampal membrane‐enriched sample showed that the method was superior to the reported on‐membrane tryptic digestion for further protein identification, including low abundant and/or highly hydrophobic membrane proteins.     

Characterization of green‐tissue protein extract from alfalfa (Medicago sativa) exploiting a 3‐D technique

There is a growing interest of pharmaceutical companies for plant‐based production systems. To facilitate the general acceptance of plants as bioreactors, the establishment of efficient downstream operations is critical. It has been proposed that a better understanding of the properties of the contaminant proteins can benefit downstream processing design and operation. The coupled application of 2‐DE with aqueous two‐phase partitioning has been suggested as a practical 3‐D method to characterize potential contaminant proteins from plant extracts. The application of this novel 3‐D approach to a complex protein extract from alfalfa (Medicago sativa) containing a model recombinant protein (human granulocyte colony stimulating factor (hG‐CSF)) resulted in the quantification of 55 protein spots. The 3‐D properties (M_r, pI, and K_p) obtained for 17 proteins comprising 69% of the alfalfa proteins, allowed the proposal of a prefractionation step as well as the identification of the target molecule (rG‐CSF) from bulk of alfalfa proteins. The information obtained from this experimental approach was useful for the identification of the potential contaminant proteins that will occur in alfalfa when this plant is used as a host for recombinant proteins. Additionally, this method will assist in the design of adequate purification strategies for recombinant proteins expressed in alfalfa green tissue.     

Labeling and Protecting N‐Terminal Protein Positions by β‐Peptidyl Aminopeptidase‐Catalyzed Attachment of β‐Amino‐Acid Residues – Insulin as a First Example

We have shown for the first time that a natural protein (human insulin) can be acylated at the N‐terminus with a β‐amino acid (H‐β³hAla‐), in a process catalyzed by the β‐peptidyl aminopeptidase 3‐2W4‐BapA. This selective modification, which could also be applied for protein labeling and tagging, should be generally useful, also to protect peptides and proteins from attack by common aminopeptidases.     

Determination of cell type‐specific proteome signatures of primary human leukocytes,endothelial cells,keratinocytes, hepatocytes,fibroblasts and melanocytes by comparative proteome profiling

Cells gain their functional specialization by different protein synthesis. A lot of knowledge with respect to cell type‐specific proteins has been collected during the last thirty years. This knowledge was built mainly by using antibodies. Nowadays, modern MS, which supports comprehensive proteome analyses of biological samples, may render possible the search for cell type‐specific proteins as well. However, a therefore necessary systematic MS study comprising many different cell types has not been performed until now. Here we present a proteome analysis strategy supporting the automated and meaningful comparison of any biological samples. We have presently applied this strategy to six different primary human cell types, namely leukocytes, endothelial cells, keratinocytes, hepatocytes, fibroblasts, and melanocytes. Comparative analysis of the resulting proteome profiles allowed us to select proteins specifically identified in one of the six cell types and not in any of the five others. Based on these results, we designated cell type‐specific proteome signatures consisting each of six such characteristic proteins. These signatures independently reproduced well‐known marker proteins already established for FACS analyses in addition to novel candidate marker proteins. We applied these signatures for the interpretation of proteome profiles obtained from the analyses of hepatocellular carcinoma‐associated tissue homogenates and normal liver tissue homogenates. The identification of members of the above described signatures gave us an indication of the presence of characteristic cells in the diseased tissues and thus supported the interpretation of the proteomics data of these complex biological samples.     

Comparative two‐dimensional polyacrylamide gel electrophoresis (2D‐PAGE) of human milk to identify dysregulated proteins in breast cancer

Breast cancer (BC) remains a major cause of mortality, and early detection is considered important for reducing BC‐associated deaths. Early detection of BC is challenging in young women, due to the limitations of mammography on the dense breast tissue of young women. We recently reported results of a pilot proteomics study, using one‐dimensional polyacrylamide gel electrophoresis (1D‐PAGE) and mass spectrometry (MS) to investigate differences in milk proteins from women with and without BC. Here, we applied two‐dimensional polyacrylamide gel electrophoresis (2D‐PAGE) and MS to compare the protein pattern in milk from the breasts of a single woman who was diagnosed with BC in one breast 24 months after donating her milk. Statistically different gel spots were picked for protein digestion followed by nanoliquid chromatography tandem MS (nanoLC‐MS/MS) analysis. The upregulated proteins in BC versus control are alpha‐amylase, gelsolin isoform a precursor, alpha‐2‐glycoprotein 1 zinc isoform CRA_b partial, apoptosis‐inducing factor 2 and vitronectin. Several proteins were downregulated in the milk of the breast later diagnosed with cancer as compared to the milk from the healthy breast, including different isoforms of albumin, cholesterol esterase, different isoforms of lactoferrin, different proteins from the casein family and different isoforms of lysozyme. Results warrant further studies to determine the usefulness of these milk proteins for assessing risk and detecting occult disease. MS data is available via ProteomeXchange with identifier PXD009860.     

Are formalin‐fixed and paraffin‐embedded tissues fit for proteomic analysis?

Formalin‐fixed and paraffin‐embedded (FFPE)–tissue archives are potential treasure troves in the search for clinically interesting specimens. However, while the FFPE‐treatment provides excellent conservation of the three‐dimensional structure of the tissue and prevents degradation over decades, it also introduces numerous nonspecific and irreversible protein modifications. In this study, we have evaluated several published workflows for FFPE‐tissue by fit‐for‐purpose proteomics technologies. We demonstrate that many protein modifications and cross‐links remain after treatment and conclude that the proteomics of FFPE‐tissue is of value, but clear‐cut limitations must be kept in mind. The analysis of abundant proteins in FFPE is straightforward, but confident identification of low‐level proteins and/or biologically relevant modifications is seriously hampered by the FFPE‐treatment. Peptide assignment should only be performed on high‐quality spectra, even if this is at the cost of lower numbers of protein IDs. As Yergey and Coorssen stated in 2015: “Data quality is considered the primary criterion, and we thus emphasize that the standards of Analytical Chemistry must apply throughout any proteomic analysis.”     

Improved conditions for fluorescent staining of proteins with 4,4′‐dianilino‐1,1′‐binaphthyl‐5,5′‐disulfonic acid in SDS‐PAGE

A simple and sensitive fluorescent staining method for the detection of proteins in SDS‐PAGE, namely IB (improved 4,4′‐dianilino‐1,1′‐binaphthyl‐5,5′‐disulfonic acid) stain, is described. Non‐covalent hydrophobic probe 4,4′‐dianilino‐1,1′‐binaphthyl‐5,5′‐disulfonic acid was applied as a fluorescent dye, which can bind to hydrophobic sites in proteins non‐specifically. As low as 1 ng of protein band can be detected briefly by 30 min washing followed by 15 min staining without the aiding of stop or destaining step. The sensitivity of the new presented protocol is similar to that of SYPRO Ruby, which has been widely accepted in proteomic research. Comparative analysis of the MS compatibility of IB stain and SYPRO Ruby stain allowed us to address that IB stain is compatible with the downstream of protein identification by PMF.     

Sugarcane proteomics: Establishment of a protein extraction method for 2‐DE in stalk tissues and initiation of sugarcane proteome reference map

Sugarcane is an important commercial crop cultivated for its stalks and sugar is a prized commodity essential in human nutrition. Proteomics of sugarcane is in its infancy, especially when dealing with the stalk tissues, where there is no study to date. A systematic proteome analysis of stalk tissue yet remains to be investigated in sugarcane, wherein the stalk tissue is well known for its rigidity, fibrous nature, and the presence of oxidative enzymes, phenolic compounds and extreme levels of carbohydrates, thus making the protein extraction complicated. Here, we evaluated five different protein extraction methods in sugarcane stalk tissues. These methods are as follows: direct extraction using lysis buffer (LB), TCA/acetone precipitation followed by solubilization in LB, LB containing thiourea (LBT), and LBT containing tris, and phenol extraction. Both quantitative and qualitative protein analyses were performed for each method. 2‐DE analysis of extracted total proteins revealed distinct differences in protein patterns among the methods, which might be due to their physicochemical limitations. Based on the 2‐D gel protein profiles, TCA/acetone precipitation‐LBT and phenol extraction methods showed good results. The phenol method showed a shift in pI values of proteins on 2‐D gel, which was mostly overcome by the use of 2‐D cleanup kit after protein extraction. Among all the methods tested, 2‐D cleanup‐phenol method was found to be the most suitable for producing high number of good‐quality spots and reproducibility. In total, 30 and 12 protein spots commonly present in LB, LBT and phenol methods, and LBT method were selected and subjected to eLD‐IT‐TOF‐MS/MS and nESI‐LC‐MS/MS analyses, respectively, and a reference map has been established for sugarcane stalk tissue proteome. A total of 36 nonredundant proteins were identified. This is a very first basic study on sugarcane stalk proteome analysis and will promote the unexplored areas of sugarcane proteome research.     

A New Type of Thermoresponsive Copolymer with UCST‐Type Transitions in Water: Poly(N‐vinylimidazole‐co‐1‐vinyl‐2‐(hydroxymethyl)imidazole)

1‐Vinyl‐2‐(hydroxymethyl)imidazole ( 2 ) is synthesized by a procedure described in the literature. Corresponding copolymers with upper critical solution temperature (UCST)‐type transitions in water and high‐glass transition temperatures (T_g) are prepared by free radical copolymerization with N‐vinylimidazole ( 1 ). Depending on the copolymer composition, the cloud point can be varied between 19 and 41 °C. As the copolymer composition is identical with the monomer feed ratio, the cloud point can be easily tuned in the desired range. Furthermore, a distinctive pH‐dependence and salt effect can be observed.

     

Estimation of protein concentration at high sensitivity using SDS‐capillary gel electrophoresis‐laser induced fluorescence detection with 3‐(2‐furoyl)quinoline‐2‐carboxaldehyde protein labeling

3‐(2‐furoyl)quinoline‐2‐carboxaldehyde (FQ) is a sensitive fluorogenic dye, used for derivatization of proteins for SDS‐CGE with LIF detection (SDS‐CGE‐LIF) at silver staining sensitivity (ng/mL). FQ labels proteins at primary amines, found at lysines and N‐termini, which vary in number and accessibility for different proteins. This work investigates the accuracy of estimation of protein concentration with SDS‐CGE‐LIF in real biological samples, where a different protein must be used as a standard. Sixteen purified proteins varying in molecular weight, structure, and sequence were labeled with FQ at constant mass concentration applying a commonly used procedure for SDS‐CGE‐LIF. The fluorescence of these proteins was measured using a spectrofluorometer and found to vary with a RSD of 36%. This compares favorably with other less sensitive methods for estimation of protein concentration such as SDS‐CGE‐UV and SDS‐PAGE‐Coomassie and is vastly superior to the equivalently sensitive silver stain. Investigation into the number of labels bound with UHPLC‐ESI‐QTOF‐MS revealed large variations in the labeling efficiency (percentage of labels to the number of labeling sites given by the sequence) for different proteins (from 3 to 30%). This explains the observation that fluorescence per mole of protein was not proportional to the number of lysines in the sequence.     

Rational Structure‐Based Design of Bright GFP‐Based Complexes with Tunable Dimerization

Fluorescent proteins are transformative tools; thus, any brightness increase is a welcome improvement. We invented the “vGFP strategy” based on structural analysis of GFP bound to a single‐domain antibody, predicting tunable dimerization, enhanced brightness (ca. 50 %), and improved pH resistance. We verified all of these predictions using biochemistry, crystallography, and single‐molecule studies. We applied the vsfGFP proteins in three diverse scenarios: single‐step immunofluorescence in vitro (3× brighter due to dimerization); expression in bacteria and human cells in vivo (1.5× brighter); and protein fusions showing better pH resistance in human cells in vivo. The vGFP strategy thus allows upgrading of existing applications, is applicable to other fluorescent proteins, and suggests a method for tuning dimerization of arbitrary proteins and optimizing protein properties in general.     

Global mapping of rat plasma proteins with a native proteomic approach using nondenaturing micro 2DE and quantitative LC‐MS/MS

Plasma samples from adult male rats were separated by nondenaturing micro 2DE and a reference gel was selected, on which 136 CBB‐stained spots were numbered and subjected to in‐gel digestion and quantitative LC‐MS/MS. The analysis provided the assignment of 1–25 (average eight) non‐redundant proteins in each spot and totally 199 proteins were assigned in the 136 spots. About 40% of the proteins were detected in more than one spot and 15% in more than ten spots. We speculate this complexity arose from multiple causes, including protein heterogeneity, overlapping of protein locations and formation of protein complexes. Consequently, such results could not be appropriately presented as a conventional 2DE map, i.e. a list or a gel pattern with one or a few proteins annotated to each spot. Therefore, the LC‐MS/MS quantity data was used to reconstruct the gel distribution of each protein and a library containing 199 native protein maps was established for rat plasma. Since proteins that formed a complex would migrate together during the nondenaturing 2DE and thus show similar gel distributions, correlation analysis was attempted for similarity comparison between the maps. The protein pairs showing high correlation coefficients included some well‐known complexes, suggesting the promising application of native protein mapping for interaction analysis. With the importance of rat as the most commonly used laboratory animal in biomedical research, we expect this work would facilitate relevant studies by providing not only a reference library of rat plasma protein maps but a means for functional and interaction analysis.     

Alpha‐1 antitrypsin variants in plasma from HIV‐infected patients revealed by proteomic and glycoproteomic analysis

Novel tools are necessary to explore proteins related to human immunodeficiency virus (HIV) infection. In this work, proteomic and glycoproteomic technology were employed to examine plasma samples from HIV‐positive patients. Through comparative proteome analysis of normal and HIV‐positive plasma samples, 19 differentially expressed protein spots related to 12 non‐redundant proteins were identified by ESI‐ion trap MS. Among these, the 130‐kDa isoform of α‐1‐antitrypsin was found to be decreased in HIV‐positive patients while another variant with a molecular weight of 40 kDa was increased. SWISS‐2‐D‐PAGE reference gel and protein sequence comparisons of the 40‐kDa protein showed homology with α‐1‐antitrypsin minus the N‐terminus, and its identity was further confirmed by 1‐D Western blotting and glycoproteomic analysis. In all, our results showed that proteomics and glycoproteomics are powerful tools for discovering proteins related to HIV infection. Furthermore, this 40‐kDa variant of α‐1‐antitrypsin found in the plasma of HIV‐positive individuals may prove to be a potentially useful biomarker for anti‐HIV research according to bioinformatics analysis.     

Global quantification of phosphoproteins combining metabolic labeling and gel‐based proteomics in B. pumilus

Differential proteomics targeting the protein abundance is commonly used to follow changes in biological systems. Differences in localization and degree of post‐translational modifications of proteins including phosphorylations are of tremendous interest due to the anticipated role in molecular regulatory processes. Because of their particular low abundance in prokaryotes, identification and quantification of protein phosphorylation is traditionally performed by either comparison of spot intensities on two‐dimensional gels after differential phosphoprotein staining or gel‐free by stable isotope labeling, sequential phosphopeptide enrichment and following LC‐MS analysis. In the current work, we combined in a proof‐of‐principle experiment these techniques using ¹⁴N/¹⁵N metabolic labeling with succeeding protein separation on 2D gels. The visualization of phosphorylations on protein level by differential staining was followed by protein identification and determination of phosphorylation sites and quantification by LC‐MS/MS. This approach should avoid disadvantages of traditional workflows, in particular the limited capability of peptide‐based gel‐free methods to quantify isoforms of proteins. Comparing control and stress conditions allowed for relative quantification in protein phosphorylation in Bacillus pumilus exposed to hydrogen peroxide. Altogether, we quantified with this method 19 putatively phosphorylated proteins.     

Phosphoproteome analysis of human liver tissue by long‐gradient nanoflow LC coupled with multiple stage MS analysis

Reversible protein phosphorylation plays a critical role in liver development and function. Comprehensively cataloging the phosphoproteins and their phosphorylation sites in human liver tissue will facilitate the understanding of physiological and pathological mechanisms of liver. Owing to lacking of efficient approach to fractionate phosphopeptides, nanoflow‐RPLC with long‐gradient elution was applied to reduce the complexity of the phosphopeptides in this study. Two approaches were performed to further improve the coverage of phosphoproteome analysis of human liver tissue. In one approach, ten‐replicated long‐gradient LC‐MS/MS runs were performed to analyze the enriched phosphopeptides, which resulted in the localization of 1080 phosphorylation sites from 495 proteins. In another approach, proteins from liver tissue were first fractionated by SDS‐PAGE and then long‐gradient LC‐MS/MS analysis was performed to analyze the phosphopeptides derived from each fraction, which resulted in the localization of 1786 phosphorylation sites from 911 proteins. The two approaches showed the complementation in phosphoproteome analysis of human liver tissue. Combining the results of the two approaches, identification of 2225 nonredundant phosphorylation sites from 1023 proteins was obtained. The confidence of phosphopeptide identifications was strictly controlled with false discovery rate (FDR)≤1% by a MS²/MS³ target‐decoy database search approach. Among the localized 2225 phosphorylated sites, as many as 70.07% (1559 phosphorylated sites) were also reported by others, which confirmed the high confidence of the sites determined in this study. Considering the data acquired from low accuracy mass spectrometer and processed by a conservative MS²/MS³ target‐decoy approach, the number of localized phosphorylation sites obtained for human liver tissue in this study is quite impressive.     

Single‐Molecule Localization Microscopy using mCherry

We demonstrate the potential of the commonly used red fluorescent protein mCherry for single‐molecule super‐resolution imaging. mCherry can be driven into a light‐induced dark state in the presence of a thiol from which it can recover spontaneously or by irradiation with near UV light. We show imaging of subcellular protein structures such as microtubules and the nuclear pore complex with a resolution below 40 nm. We were able to image the C‐terminus of the nuclear pore protein POM121, which is on the inside of the pore and not readily accessible for external labeling. The photon yield for mCherry is comparable to that of the latest optical highlighter fluorescent proteins. Our findings show that the widely used mCherry red fluorescent protein and the vast number of existing mCherry fusion proteins are readily amenable to super‐resolution imaging. This obviates the need for generating novel protein fusions that may compromise function or the need for external fluorescent labeling.     

Understanding chemical reactivity for homo‐ and heterobifunctional protein cross‐linking agents

Chemical cross‐linking, combined with mass spectrometry, has been applied to map three‐dimensional protein structures and protein–protein interactions. Proper choice of the cross‐linking agent, including its reactive groups and spacer arm length, is of great importance. However, studies to understand the details of reactivity of the chemical cross‐linkers with proteins are quite sparse. In this study, we investigated chemical cross‐linking from the aspects of the protein structures and the cross‐linking reagents involved, by using two structurally well‐known proteins, glyceraldehyde 3‐phosohate dehydrogenase and ribonuclease S. Chemical cross‐linking reactivity was compared using a series of homo‐ and hetero‐bifunctional cross‐linkers, including bis(sulfosuccinimidyl) suberate, dissuccinimidyl suberate, bis(succinimidyl) penta (ethylene glycol), bis(succinimidyl) nona (ethylene glycol), m‐maleimidobenzoyl‐N‐hydroxysulfosuccinimide ester, 2‐pyridyldithiol‐tetraoxaoctatriacontane‐N‐hydrosuccinimide and succinimidyl‐[(N‐maleimidopropionamido)‐tetracosaethyleneglycol]ester. The protein structure itself, especially the distances between target amino acid residues, was found to be a determining factor for the cross‐linking efficiency. Moreover, the reactive groups of the chemical cross‐linker also play an important role; a higher cross‐linking reaction efficiency was found for maleimides compared to 2‐pyrimidyldithiols. The reaction between maleimides and sulfhydryl groups is more favorable than that between N‐hydroxysuccinimide esters and amine groups, although cysteine residues are less abundant in proteins compared to lysine residues. Copyright © 2013 John Wiley & Sons, Ltd.     

Sample complexity reduction aids efficient detection of low‐abundant proteins from human amniotic fluid

Working with biological fluids poses a challenge of visualizing proteins present in lower concentrations. This study describes a batch‐mode chromatographic method for the fractionation of human amniotic fluid (AF). This method is easy to use with minimal sample quantity, resin volume and sample processing time. For albumin depletion, two methods were evaluated. The results demonstrated that specific depletion of albumin, using affinity‐ligand‐based resin, is more efficient than the conventional dye‐based method. The albumin‐depleted human AF was fractionated by strong anion‐exchange resin in spin devices, for sample, complexity reduction and enrichment of low‐abundant proteins. Analysis of four eluate fractions generated after this step shows enrichment of few low‐abundant proteins. Two novel low‐abundant proteins, Rab GDP dissociation inhibitor β and peptide methionine sulfoxide reductase, were identified from human AF. α‐1‐B Glycoprotein was successfully identified by this strategy, whereas the published literature reports that it was not identified by strong anion‐exchange FPLC followed by SDS‐PAGE. Therefore, the current method has distinct advantages over the conventional column‐based chromatography. This study also reports altered expression of some proteins in Rh‐isoimmunized AF samples in comparison with normal AF.     

Analysis of low‐density lipoprotein‐associated proteins using the method of digitized native protein mapping

The method of digitized native protein mapping, combining nondenaturing micro 2DE, grid gel‐cutting, and quantitative LC‐MS/MS (in data‐independent acquisition mode, or MS^E), was improved by using a new MS/MS mode, ion mobility separation enhanced‐MS^E (HDMS^E), and applied to analyze the area of human plasma low‐density lipoprotein (LDL). An 18 mm × 4.8 mm rectangular area which included LDL on a nondenaturing micro 2D gel of human plasma was grid‐cut into 72 square gel pieces and subjected to quantitative LC‐MS/MS. Compared with MS^E, HDMS^E showed significantly higher performance, by assigning 50% more proteins and detecting each protein in more squares. A total of 253 proteins were assigned with LC‐HDMS^E and the quantity distribution of each was reconstructed as a native protein map. The maps showed that Apo B‐100 was the most abundant protein in the grid‐cut area, concentrated at pI ca. 5.4–6.1 and apparent mass ca. 1000 kDa, which corresponded to four gel pieces, squares 39–42. An Excel macro was prepared to search protein maps which showed protein quantity peaks localized within this concentrated region of Apo B‐100. Twenty‐two proteins out of the 252 matched this criterion, in which 19 proteins have been reported to be associated with LDL. This method only requires several microliters of a plasma sample and the principle of the protein separation is totally different from the commonly used ultracentrifugation. The results obtained by this method would provide new insights on the structure and function of LDL.