Proteomic analysis of rat plasma by two-dimensional liquid chromatography and matrix-assisted laser desorption ionization time-of-flight mass spectrometry

The proteomic analysis of plasma and serum samples represents a formidable challenge due to the presence of a few highly abundant proteins such as albumin and immunoglobulins. Detection of low abundance protein biomarkers therefore requires either the specific depletion of high abundance proteins using immunoaffinity columns and/or optimized protein fractionation methods based on charge, size or hydrophobicity. Here we describe a two-dimensional (2D) liquid chromatography separation method for the fractionation of rat plasma. In the first dimension proteins were separated by chromatofocusing according to their isoelectric point (pI). In the second dimension, proteins were further fractionated by non-porous, reversed-phase chromatography according to their hydrophobicity. The data from both separations was displayed as a 2D protein expression map of pI versus retention time (relative hydrophobicity). Both separations were carried out on the ProteomeLab PF 2D system (Beckman Coulter), an instrument platform that provides a high degree of automation and real-time monitoring of the separation process. The reproducibility of the first-dimension separation was evaluated in terms of pH gradient formation. The second-dimension separation was evaluated in terms of peak retention times on the reversed-phase column. We found in four consecutive chromatofocusing separations that the pH gradient differed by less than 0.2 pH units at any time during the elution step. Second dimension retention times of peaks from identical pI fractions differed by less than 7 s in six consecutive separations. Each 2D separation generated a total of 540 fractions which were analyzed by matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS). We detected approximately 275 peptides and proteins with molecular masses ranging from 3 to 225 kDa. Most fractions were found to contain multiple low and high molecular weight proteins. Differential display of 2D protein expression maps from retinol-sufficient and -deficient rat plasma samples identified a fraction with several proteins that appeared to be down-regulated in the vitamin A-deficient animal. Quantitative proteomic analysis of complex samples such as plasma is still a difficult task. We discuss the potential of this approach for biomarker discovery and address the experimental challenges that remain.     

Sample preparation of human serum for the analysis of tumor markers. Comparison of different approaches for albumin and gamma-globulin depletion

LC-MS is a powerful method for the sensitive detection of proteins and peptides in biological fluids. However, the presence of highly abundant proteins often masks those of lower abundance and thus generally prevents their detection and identification in proteomic studies. In human serum the most abundant proteins are albumin and gamma-globulins. We tested several approaches to specifically reduce the level of these proteins based on either specific antibodies, dye ligands (for albumin) and protein A or G (for gamma-globulins). The resulting, depleted serum was analyzed by sodium dodecylsulfate-polyacrylamide gel electrophoresis and LC-MS for the residual presence of these abundant proteins as well as for other serum proteins that should remain after depletion. To test the applicability of this method to real-life samples, depleted serum of a cervical cancer patient was analyzed for the presence of a specific tumor marker protein SCCA1 (squamous cell carcinoma antigen 1; P29508), which is present at ng/ml concentrations. The results demonstrate that SCCA1 can be detected by LC-MS in patient serum following depletion of albumin and gamma-globulins thus opening the possibility of screening patient sera for other, so far unknown, tumor markers.     

Identification of candidate biomarkers in ovarian cancer serum by depletion of highly abundant proteins and differential in‐gel electrophoresis

Ovarian cancer is the fifth leading cause of cancer death for women in the US, yet survival rates are over 90% when it is diagnosed at an early stage, highlighting the need for biomarkers for early detection. To enhance the discovery of tumor‐specific proteins that could represent novel serum biomarkers for ovarian cancer, we depleted serum of highly abundant proteins which can mask the detection of proteins present in serum at low concentrations. Three commercial immunoaffinity columns were used in parallel to deplete the highly abundant proteins in serum from 60 patients with serous ovarian carcinoma and 60 non‐cancer controls. Medium and low abundance serum proteins from each serum pool were then evaluated by the quantitative proteomic technique of differential in‐gel electrophoresis. The number of protein spots that were elevated in ovarian cancer sera by at least twofold ranged from 36 to 248, depending upon the depletion and separation methods. From the 33 spots picked for MS analysis, nine different proteins were identified, including the novel candidate ovarian cancer biomarkers leucine‐rich α2 glycoprotein‐1 and ficolin 3. Western blotting validated the relative increases in serum protein levels for three of the proteins identified, demonstrating the utility of this approach for the identification of novel serum biomarkers for ovarian cancer.     

Reproducible method to enrich membrane proteins with high purity and high yield for an LC‐MS/MS approach in quantitative membrane proteomics

The proportionately low abundance of membrane proteins hampers their proteomic analysis, especially for a quantitative LC‐MS/MS approach. To overcome this limitation, a method was developed that consists of one cell disruption step in a hypotonic reagent using liquid nitrogen, one isolation step using a low speed centrifugation, and three wash steps using high speed centrifugation. Pellets contained plasma, nuclear, and mitochondrial membranes, including their integral, peripheral, and anchored membrane proteins. The reproducibility of this method was verified by protein assay of four separate experiments with a CV of 7.7%, and by comparative LC‐MS/MS label‐free quantification of individual proteins between two experiments with 99% of the quantified proteins having a CV ≤30%. Western blot and LC‐MS/MS results of markers for cytoplasm, nucleus, mitochondria, and their membranes indicated that the enriched membrane fraction was highly pure by the absence of, or presence of trace amounts of, nonmembrane marker proteins. The average yield of membrane proteins was 237 μg/10 million HT29‐MTX cells. LC‐MS/MS analysis of the membrane‐enriched sample resulted in the identification of 2597 protein groups. In summary, the developed method is reproducible, produces a highly pure membrane fraction, and generates a high yield of membrane proteins.     

Proteomic Signature of Extracellular Vesicles for Lung Cancer Recognition

The proteins of extracellular vesicles (EVs) that originate from tumors reflect the producer cells’ proteomes and can be detected in biological fluids. Thus, EVs provide proteomic signatures that are of great interest for screening and predictive cancer diagnostics. By applying targeted mass spectrometry with stable isotope-labeled peptide standards, we assessed the levels of 28 EV-associated proteins, including the conventional exosome markers CD9, CD63, CD81, CD82, and HSPA8, in vesicles derived from the lung cancer cell lines NCI-H23 and A549. Furthermore, we evaluated the detectability of these proteins and their abundance in plasma samples from 34 lung cancer patients and 23 healthy volunteers. The abundance of TLN1, TUBA4A, HSPA8, ITGB3, TSG101, and PACSIN2 in the plasma of lung cancer patients was measured using targeted mass spectrometry and compared to that in plasma from healthy volunteers. The most diagnostically potent markers were TLN1 (AUC, 0.95), TUBA4A (AUC, 0.91), and HSPA8 (AUC, 0.88). The obtained EV proteomic signature allowed us to distinguish between the lung adenocarcinoma and squamous cell carcinoma histological types. The proteomic cargo of the extracellular vesicles represents a promising source of potential biomarkers.     

Cellular proteomic analysis of porcine circovirus type 2 and classical swine fever virus coinfection in porcine kidney‐15 cells using isobaric tags for relative and absolute quantitation‐coupled LC‐MS/MS

Viral coinfection or superinfection in host has caused public health concern and huge economic losses of farming industry. The influence of viral coinfection on cellular protein abundance is essential for viral pathogenesis. Based on a coinfection model for porcine circovirus type 2 (PCV2) and classical swine fever virus (CSFV) developed previously by our laboratory, isobaric tags for relative and absolute quantitation (iTRAQ)‐coupled LC‐MS/MS proteomic profiling was performed to explore the host cell responses to PCV2‐CSFV coinfection. Totally, 3932 proteins were identified in three independent mass spectrometry analyses. Compared with uninfected cells, 304 proteins increased (fold change >1.2) and 198 decreased (fold change <0.833) their abundance in PCV2‐infected cells (p < 0.05), 60 and 61 were more and less abundant in CSFV‐infected cells, and 196 and 158 were more and less abundant, respectively in cells coinfected with PCV2 and CSFV. Representative differentially abundant proteins were validated by quantitative real‐time PCR, Western blotting and confocal laser scanning microscopy. Bioinformatic analyses confirmed the dominant role of PCV2, and indicated that mitochondrial dysfunction, nuclear factor erythroid 2‐related factor 2 (Nrf2)‐mediated oxidative stress response and apoptosis signaling pathways might be the specifical targets during PCV2‐CSFV coinfection.     

New method for prefractionation of plasma for proteomic analysis

The depth of proteome analysis is severely limited in complex samples with a wide dynamic range of protein abundance such as plasma. Removal of high‐abundance proteins should reveal the signal of lower abundance plasma proteins. However, smaller proteins may be part of larger protein complexes and hence the removal of proteins involved in complexes with high‐abundance proteins such as albumin may inhibit the search for disease biomarkers. Prefractionation of a sample divides it into fractions of reduced complexity, allowing improved detection of lower abundance proteins. Using a prefractionation device, which employs Gradiflow? technology, we were able to separate small volume plasma samples into multiple fractions based on the molecular weight and/or charge. The resulting samples of reduced complexity were directly compatible with 2‐DE. The use of this prefractionation machine may therefore be useful in the hunt for disease biomarkers.     

Enrichment of low molecular weight serum proteins using acetonitrile precipitation for mass spectrometry based proteomic analysis

A rapid acetonitrile (ACN)-based extraction method has been developed that reproducibly depletes high abundance and high molecular weight proteins from serum prior to mass spectrometric analysis. A nanoflow liquid chromatography/tandem mass spectrometry (nano-LC/MS/MS) multiple reaction monitoring (MRM) method for 57 high to medium abundance serum proteins was used to characterise the ACN-depleted fraction after tryptic digestion. Of the 57 targeted proteins 29 were detected and albumin, the most abundant protein in serum and plasma, was identified as the 20th most abundant protein in the extract. The combination of ACN depletion and one-dimensional nano-LC/MS/MS enabled the detection of the low abundance serum protein, insulin-like growth factor-I (IGF-I), which has a serum concentration in the region of 100 ng/mL. One-dimensional sodium dodecyl sulfate/polyacrylamide gel electrophoresis (SDS-PAGE) analysis of the depleted serum showed no bands corresponding to proteins of molecular mass over 75 kDa after extraction, demonstrating the efficiency of the method for the depletion of high molecular weight proteins. Total protein analysis of the ACN extracts showed that approximately 99.6% of all protein is removed from the serum. The ACN-depletion strategy offers a viable alternative to the immunochemistry-based protein-depletion techniques commonly used for removing high abundance proteins from serum prior to MS-based proteomic analyses.     

Proteomic profiling of human sera for discovery of potential biomarkers to monitor abstinence from alcohol abuse

Although numerous biomarkers or biomarker candidates have been discovered to detect levels of drinking and intervals of time after last drinking episode, only a few biomarkers have been applied to monitor abstinence in a longer interval (≥6 wks) from alcohol abuse. Considering sample sources, sensitivity, and specificity, new biomarkers from blood with better accuracy are needed. To address this, serum proteomic profiles were compared between pre‐ and post‐ treatment samples from subjects seeking treatment for alcohol abuse and dependence in an intensive 6wk daily outpatient program using high‐abundance plasma protein immunodepletion and LC‐MS/MS techniques. Protein identification, quantification, candidate biomarker selection, and prioritization analyses were carried out. Among the 246 quantified serum proteins, abundance of 13 and 45 proteins in female and male subjects were significantly changed (p ≤ 0.05), respectively. Of these biomarker candidate proteins, 2 (female) and 8 (male) proteins were listed in category 1, with high area under the receiver operating characteristic curve, sensitivity, specificity, and fold change. In summary, several new biomarker candidates have been identified to monitor abstinence from alcohol abuse.     

Psoriasin (S100A7): a putative urinary marker for the follow-up of patients with bladder squamous cell carcinomas

To search for bladder squamous cell carcinoma markers that are released to the urine a blind and systematic analysis of the protein profiles of fresh tumors, their secreted proteins, as well as the patient's urine was carried out using state-of-the-art proteomic technology. We review the data concerning the putative marker psoriasin (S100A7), which, alone or in combination with other biomarkers, may be valuable for the noninvasive follow-up of patients bearing these tumors.     

Hydrazide-functionalized magnetic microspheres for the selective enrichment of digested tryptophan-containing peptides in serum

The extreme complexity of protein samples is becoming a great challenge for proteomic analysis, especially for those having large dynamic range of protein abundance. To solve this problem, and to overcome the limitation of the current proteomic technologies, a new method using hydrazide-functionalized magnetic microspheres was established in this study. With this method, tryptophan (Trp)-containing peptides can be selectively and sensitively enriched from complex and low-volume samples. Furthermore, combined with 1D-LC-MS/MS analysis, the strategy was successfully applied to the proteomic study of mouse serum. The proportion of Trp-containing peptides was increased from 19.4% to 80.2% through enrichment, and the complexity of the sample was reduced more than two times. An additional 113 Trp-containing peptides and 48 novel proteins were detected compared to the conventional method. This enrichment method provides a means for identifying more proteins as potential biomarkers in serum and other complex samples.     

Selectivity of monolithic supports under overloading conditions and their use for separation of human plasma and isolation of low abundance proteins

Human serum albumin (HSA) and immunoglobulin G (IgG) represent over 75% of all proteins present in human plasma. These two proteins frequently interfere with detection, determination and purification of low abundance proteins that can be potential biomarkers and biomarker candidates for various diseases. Some low abundance plasma proteins such as clotting factors and inhibitors are also important therapeutic agents. In this paper, the characterization of ion-exchange monolithic supports under overloading conditions was performed by use of sample displacement chromatography (SDC). If these supports were used for separation of human plasma, the composition of bound and eluted proteins in both anion- and cation-exchange mode is dependent on column loading. Under overloading conditions, the weakly bound proteins such as HSA in anion-exchange and IgG in cation-exchange mode are displaced by stronger binding proteins, and this phenomenon was not dependent on column size. Consequently, small monolithic columns with a column volume of 100 and 200 μL are ideal supports for high-throughput screening in order to develop new methods for separation of complex mixtures, and for sample preparation in proteomic technology.     

A lectin-coupled,multiple reaction monitoring based quantitative analysis of human plasma glycoproteins by mass spectrometry

Aberrant protein glycosylation may be closely associated with cancer pathology. To measure the abundance of protein glycoforms with a specific glycan structure in plasma samples, we developed a lectin-coupled multiple reaction monitoring (MRM)-based mass spectrometric method. It was confirmed that the method could provide reproducible results with precision sufficient to distinguish differences in the abundance of protein glycoforms between individuals. Plasma samples prepared from hepatocellular carcinoma (HCC) patients without immuno-depletion of highly abundant plasma proteins were fractionated by use of fucose-specific aleuria aurantia lectin (AAL) immobilized on magnetic beads by use of a biotin–streptavidin conjugate. The lectin-captured fractions were digested by trypsin and profiled by tandem mass spectrometry. From the proteomic profiling data, target glycoproteins were selected and analyzed quantitatively by MRM-based analysis. The reproducibility of MRM-based quantification of the selected target proteins was reliable, with precision (CV; ≤14% for batch-to-batch replicates and ≤19% for replicates over three days) sufficient to distinguish differences in the abundance of AAL-captured glycoforms between individual plasma samples. This lectin-coupled, MRM-based method, measuring only lectin-captured glycoforms of a target protein rather than total target protein, is a tool for monitoring differences between individuals by measuring the abundance of aberrant glycoforms of a target protein related to a disease. This method may be further applied to rapid verification of biomarker candidates involved in aberrant protein glycosylation in human plasma.     

Free flow electrophoresis coupled with liquid chromatography-mass spectrometry for a proteomic study of the human cell line (K562/CR3)

The requirement for prefractionation in proteomic analysis is linked to the challenge of performing such an analysis on complex biological samples and identifying low level components in the presence of numerous abundant housekeeping and structural proteins. The employment of a preliminary fractionation step results in a reduction of complexity in an individual fraction and permits more complete liquid chromatography/mass spectrometry (LC/MS) analysis. Free flow electrophoresis (FFE), a solution-based preparative isoelectric focusing technique, fractionates and enriches protein fractions according to their charge differences and is orthogonal in selectivity to the popular reversed phase high performance liquid chromatography (HPLC) fractionation step. In this paper, we explored the advantages of a combination of FFE and liquid chromatography/mass spectrometry to extend the dynamic range of a proteomic analysis of a complex cell lysate. In this study, the whole cell lysate of a chronic myelogeneous leukemia cell line, K562/CR3, was prefractionated by FFE into 96 fractions spanning pH 3-12. Of these, 35 fractions were digested with trypsin and then analyzed by LC/MS. Depending on the algorithm used for peptide assignment from MS/MS data, at least 319 proteins were identified through database searches. The results also suggested that pI could serve as an additional criterion besides peptide fragmentation pattern for protein identification, although in some cases, a pI shift might indicate post-translational modification. In summary, this study demonstrated that free flow electrophoresis provided a useful prefractionation step for proteomic analysis and when combined with LC/MS allowed the identification of significant number of low level proteins in complex samples.     

Quantitative proteomic analysis of serum proteins in patients with Parkinson's disease using an isobaric tag for relative and absolute quantification labeling, two-dimensional liquid chromatography, and tandem mass spectrometry

Parkinson's disease (PD) is a common disease which occurs in aged people with chronic, progressive degenerative character of the central nervous system. Until now there is no effective treatment method in PD patients before they show obvious symptoms for prevention and early diagnosis. In order to find out early disease specific biomarkers, two-dimensional liquid chromatography-tandem mass spectrometry coupled with isobaric tags for relative and absolute quantification (iTRAQ) labeling was employed to quantitatively identify the differentially expressed proteins among the different disease progress types of PD. 26 proteins were differentially expressed in a total of 258 identified proteins by proteomic techniques. The expression level of eight proteins which included sero-transferrin and clusterin increased. The expression level of eighteen proteins which include complement component 4B, apolipoprotein A-I, α-2-antiplasmin and coagulation factor V decreased. Those proteins may be associated with oxidative stress, mitochondrial dysfunction, abnormal protein aggregation and inflammation. In this study, the expression level of apolipoprotein A-I decreased, particularly in the early stage of PD patients. This protein regulated not only the lipid metabolism in the central nervous system, but also influenced the deposition process of proteins which are involved in neural degenerative diseases, such as the pathogenesis of PD.     

Carotid atherosclerotic plaques: proteomics study after a low-abundance protein enrichment step

Atherosclerosis is one of the most important causes of cardiovascular and cerebrovascular events. Although phenotypic differentiation between stable and unstable plaques is currently possible, proteomic analysis of the atherosclerotic plaque could offer a global view of the atherosclerosis pathology. With the objective to highlight the detection of low-abundance proteins, we reduced the dynamic range of proteins by combinatorial peptide ligand library treatment of human carotid artery atherosclerotic plaques. After enrichment step, abundance of major proteins was decreased, revealing different protein profiles as assessed by both SDS-polyacrylamide gel electrophoresis and two-dimensional electrophoresis comparative analyses. Identification of proteins that were contained in a spot allowed finding large differences between noncomplicated and complicated plaques from carotid atherosclerotic lesions. Novel low-abundance proteins were detected correlating very well with biological alterations related to atherosclerosis (heat shock protein 27 (HSP27) isoforms, aldehyde dehydrogenase, moesin, Protein kinase C delta-binding protein, and inter-α trypsin inhibitor family heavy chain-related protein (ITIH4)). At the same time, the differential expression of known proteins of interest such as hemoglobin β-chain and heat shock protein 27 between noncomplicated and hemorrhagic complicated plaques was maintained after enrichment step. The detection of different isoforms of a low-abundance protein such as heat shock protein 27 species was actually improved after enrichment of tissue protein extracts. All of these findings clearly support further investigations in view to confirm the role of these proteins as possible biomarkers.     

Proteomic profiling of mature leaves from oil palm (Elaeis guineensis Jacq.)

Oil palm is one of the most productive oil bearing crops grown in Southeast Asia. Due to the dwindling availability of agricultural land and increasing demand for high yielding oil palm seedlings, clonal propagation is vital to the oil palm industry. Most commonly, leaf explants are used for in vitro micropropagation of oil palm and to optimize this process it is important to unravel the physiological and molecular mechanisms underlying somatic embryo production from leaves. In this study, a proteomic approach was used to determine protein abundance of mature oil palm leaves. To do this, leaf proteins were extracted using TCA/acetone precipitation protocol and separated by 2DE. A total of 191 protein spots were observed on the 2D gels and 67 of the most abundant protein spots that were consistently observed were selected for further analysis with 35 successfully identified using MALDI TOF/TOF MS. The majority of proteins were classified as being involved in photosynthesis, metabolism, cellular biogenesis, stress response, and transport. This study provides the first proteomic assessment of oil palm leaves in this important oil crop and demonstrates the successful identification of selected proteins spots using the Malaysian Palm Oil Board (MPOB) Elaeis guineensis EST and NCBI‐protein databases. The MS data have been deposited in the ProteomeXchange Consortium database with the data set identifier PXD001307.     

Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry

In this article, we present an overview of the different strategies for sample preparation for identification by mass spectrometry (MS) of biomarkers from serum and/or plasma. We consider the effects of the variables involved in sample collection, handling and storage, and describe different approaches for removal of high abundance proteins and serum/plasma fractionation. We review the advantages and disadvantages of such techniques as centrifugal ultrafiltration, different formats for solid phase extraction, organic solvent extraction, gel and capillary electrophoresis, and liquid chromatography. We also discuss a variety of current proteomic methods and their main applications for biomarker-related studies.