Evaluation of protein depletion methods for the analysis of total-, phospho- and glycoproteins in lumbar cerebrospinal fluid

A proper sample preparation, in particular, abundant protein removal is crucial in the characterization of low-abundance proteins including those harboring post-translational modifications. In human cerebrospinal fluid (CSF), approximately 80% of proteins originate from serum, and removal of major proteins is necessary to study brain-derived proteins that are present at low concentrations for successful biomarker and therapeutic target discoveries for neurological disorders. In this study, phospho- and glycoprotein specific fluorescent stains and mass spectrometry were used to map proteins from CSF on two-dimensional gel electropherograms after immunoaffinity based protein removal. Two protein removal methods were evaluated: batch mode with avian IgY antibody microbeads using spin filters and HPLC multiple affinity removal column. Six abundant proteins were removed from CSF: human serum albumin (HSA), transferrin, IgG, IgA, IgM, and fibrinogen with batch mode, and HSA, transferrin, IgG, IgA, antitrypsin, and haptoglobin with column chromatography. 2D gels were compared after staining for phospho-, glyco- and total proteins. The column format removed the major proteins more effectively and approximately 50% more spots were visualized when compared to the 2D gel of CSF without protein depletion. After protein depletion, selected phospho- and glycoprotein spots were identified using mass spectrometry in addition to some of the spots that were not visualized previously in nondepleted CSF. Fifty proteins were identified from 66 spots, and among them, 12 proteins (24%) have not been annotated in previously published 2D gels.     

Identification of glycoproteins in human cerebrospinal fluid with a complementary proteomic approach

Biomarkers are pressingly needed to assist with the clinical diagnosis of neurodegenerative diseases and/or the monitoring of disease progression. Glycoproteins are enriched in bodily fluids such as human cerebrospinal fluid (CSF), an ideal source for discovering biomarkers due to its proximity to the central nervous system (CNS), and consequently can serve as diagnostic and/or therapeutic markers for CNS diseases. We report here an in-depth identification of glycoproteins in human CSF using a complementary proteomic approach which integrated hydrazide chemistry and lectin affinity column for glycoprotein enrichment, followed by multidimensional chromatography separation and tandem mass spectrometric analysis. Using stringent criteria, a total of 216 glycoproteins, including many low-abundance proteins, was identified with high confidence. Approximately one-third of these proteins was already known to be relevant to the CNS structurally or functionally. This investigation, for the first time, not only categorized many glycoproteins in human CSF but also expanded the existing overall CSF protein database.     

A comparative proteomic analysis of human and rat embryonic cerebrospinal fluid

During vertebrate central nervous system development, the apical neuroepithelium is bathed with embryonic Cerebrospinal Fluid (e-CSF) which plays regulatory roles in cortical cell proliferation and maintenance. Here, we report the first proteomic analysis of human e-CSF and compare it to an extensive proteomic analysis of rat e-CSF. As expected, we identified a large collection of protease inhibitors, extracellular matrix proteins, and transport proteins in CSF. However, we also found a surprising suite of signaling and intracellular proteins not predicted by previous proteomic analysis. Some of the intracellular proteins are likely to represent the contents of microvesicles recently described within the CSF (Marzesco, A. M., et al. J. Cell Sci. 2005, 118 (Pt. 13), 2849-2858). Defining the rich composition of e-CSF will enable a greater understanding of its concerted actions during critical stages of brain development.     

Evaluation of three high abundance protein depletion kits for umbilical cord serum proteomics

Background  

High abundance protein depletion is a major challenge in the study of serum/plasma proteomics. Prior to this study, most commercially available kits for depletion of highly abundant proteins had only been tested and evaluated in adult serum/plasma, while the depletion efficiency on umbilical cord serum/plasma had not been clarified. Structural differences between some adult and fetal proteins (such as albumin) make it likely that depletion approaches for adult and umbilical cord serum/plasma will be variable. Therefore, the primary purposes of the present study are to investigate the efficiencies of several commonly-used commercial kits during high abundance protein depletion from umbilical cord serum and to determine which kit yields the most effective and reproducible results for further proteomics research on umbilical cord serum.     

Nucleotide degradation products in cerebrospinal fluid (CSF) in inherited and acquired pathologies

CSF purines were grossly elevated compared with controls only in adenylosuccinate lyase (ADSL) deficiency and TB meningitis. The former representing low permeability, the latter severe damage to the normal blood/brain barrier. By contrast, the similarity to controls, with no difference between Lesch-Nyhan disease (LND) or LND variants, would exclude hypoxia as a factor in the severe neurological deficits in LND. Similar findings in purine nucleoside phosphorylase (PNP) deficiency (although nucleosides replace the normal bases) likewise exclude hypoxia in the aetiology of the albeit milder neurological deficits.     

Proteomic identification of biomarkers in the cerebrospinal fluid (CSF) of astrocytoma patients

The monitoring of changes in the protein composition of the cerebrospinal fluid (CSF) can be used as a sensitive indicator of central nervous system (CNS) pathology, yet its systematic application to analysis of CNS neoplasia has been limited. There is a pressing need for both a better understanding of gliomagenesis and the development of reliable biomarkers of the disease. In this report, we used two proteomic techniques, two-dimensional gel electrophoresis (2-DE), and cleavable Isotope-Coded Affinity Tag (cICAT) to compare CSF proteomes to identify tumor- and grade-specific biomarkers in patients bearing brain tumors of differing histologies and grades. Retrospective analyses were performed on 60 samples derived from astrocytomas WHO grade II, III, and IV, schwannomas, metastastic brain tumors, inflammatory samples, and non-neoplastic controls. We identified 103 potential tumor-specific markers of which 20 were high-grade astrocytoma-specific. These investigations allowed us to identify a spectrum of signature proteins that could be used to distinguish CSF derived from control patients versus those with low- (AII) or high-grade (AIV) astrocytoma. These proteins may represent new diagnostic, prognostic, and disease follow-up markers when used alone or in combination. These candidate biomarkers may also have functional properties that play a critical role in the development and malignant progression of human astrocytomas, thus possibly representing novel therapeutic targets for this highly lethal disease.     

Comparative proteomic analysis of intra- and interindividual variation in human cerebrospinal fluid

Cerebrospinal fluid (CSF) is a potential source of biomarkers for many disorders of the central nervous system, including Alzheimer disease (AD). Prior to comparing CSF samples between individuals to identify patterns of disease-associated proteins, it is important to examine variation within individuals over a short period of time so that one can better interpret potential changes in CSF between individuals as well as changes within a given individual over a longer time span. In this study, we analyzed 12 CSF samples, composed of pairs of samples from six individuals, obtained 2 weeks apart. Multiaffinity depletion, two-dimensional DIGE, and tandem mass spectrometry were used. A number of proteins whose abundance varied between the two time points was identified for each individual. Some of these proteins were commonly identified in multiple individuals. More importantly, despite the intraindividual variations, hierarchical clustering and multidimensional scaling analysis of the proteomic profiles revealed that two CSF samples from the same individual cluster the closest together and that the between-subject variability is much larger than the within-subject variability. Among the six subjects, comparison between the four cognitively normal and the two very mildly demented subjects also yielded some proteins that have been identified in previous AD biomarker studies. These results validate our method of identifying differences in proteomic profiles of CSF samples and have important implications for the design of CSF biomarker studies for AD and other central nervous system disorders.     

Shotgun proteomic analysis of cerebrospinal fluid using off-gel electrophoresis as the first-dimension separation

Shotgun proteomic analysis usually employs multidimensional separations with the first dimension most commonly being strong cation exchange (SCX) liquid chromatography (LC). SCX-LC is necessarily a serial process for preparation of multiple samples. Here, we apply a newly available tool, off-gel electrophoresis (OGE), for first-dimension separation of peptide mixtures from digests of cerebrospinal fluid (CSF), a complex and low total protein-containing sample. OGE first-dimension fractionation enabled identification of a total of 156 unique proteins compared to 115 identified in previous work using first-dimension SCX fractionation. OGE can be used to process multiple samples unattended with easy retrieval of the separated fractions. Thus, shotgun analysis using OGE as the first-dimension separation offers a significant advantage both in terms of sample throughput as well as increased numbers of identified proteins.     

A novel unbiased proteomic approach to detect the reactivity of cerebrospinal fluid in neurological diseases

Neurodegenerative diseases, such as multiple sclerosis represent global health issues. Accordingly, there is an urgent need to understand the pathogenesis of this and other central nervous system disorders, so that more effective therapeutics can be developed. Cerebrospinal fluid is a potential source of important reporter molecules released from various cell types as a result of central nervous system pathology. Here, we report the development of an unbiased approach for the detection of reactive cerebrospinal fluid molecules and target brain proteins from patients with multiple sclerosis. To help identify molecules that may serve as clinical biomarkers for multiple sclerosis, we have biotinylated proteins present in the cerebrospinal fluid and tested their reactivity against brain homogenate as well as myelin and myelin-axolemmal complexes. Proteins were separated by two-dimensional gel electrophoresis, blotted onto membranes and probed separately with biotinylated unprocessed cerebrospinal fluid samples. Protein spots that reacted to two or more multiple sclerosis-cerebrospinal fluids were further analyzed by matrix assisted laser desorption ionization-time-of-flight time-of-flight mass spectrometry. In addition to previously reported proteins found in multiple sclerosis cerebrospinal fluid, such as αβ crystallin, enolase, and 14-3-3-protein, we have identified several additional molecules involved in mitochondrial and energy metabolism, myelin gene expression and/or cytoskeletal organization. These include aspartate aminotransferase, cyclophilin-A, quaking protein, collapsin response mediator protein-2, ubiquitin carboxy-terminal hydrolase L1, and cofilin. To further validate these findings, the cellular expression pattern of collapsin response mediator protein-2 and ubiquitin carboxy-terminal hydrolase L1 were investigated in human chronic-active MS lesions by immunohistochemistry. The observation that in multiple sclerosis lesions phosphorylated collapsin response mediator protein-2 was increased, whereas Ubiquitin carboxy-terminal hydrolase L1 was down-regulated, not only highlights the importance of these molecules in the pathology of this disease, but also illustrates the use of our approach in attempting to decipher the complex pathological processes leading to multiple sclerosis and other neurodegenerative diseases.     

Rat plasma proteomics: effects of abundant protein depletion on proteomic analysis

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 requires therefore either the specific depletion of high abundance proteins with immunoaffinity columns and/or optimized protein fractionation methods based on charge, size or hydrophobicity. Here we describe the depletion of seven abundant rat plasma proteins with an immunoaffinity column with coupled antibodies directed against albumin, IgG, transferrin, IgM, haptoglobin, fibrinogen and alpha1-anti-trypsin. The IgY-R7-LC2 (Beckman Coulter) column showed high specificity for the targeted proteins and was able to efficiently remove most of the albumin, IgG and transferrin from rat plasma samples as judged by Western blot analysis. Depleted rat plasma protein samples were analyzed by SELDI-TOF MS, 2D SDS-PAGE and 2D-LC and compared to non-depleted plasma samples as well as to the abundant protein fraction that was eluted from the immunoaffinity column. Analysis of the depleted plasma protein fraction revealed improved signal to noise ratios, regardless of which proteomic method was applied. However, only a small number of new proteins were observed in the depleted protein fraction. Immunoaffinity depletion of abundant plasma proteins results in the significant dilution of the original sample which complicates subsequent analysis. Most proteomic approaches require specialized sample preparation procedures during which significant losses of less abundant proteins and potential biomarkers can occur. Even though abundant protein depletion reduces the dynamic range of the plasma proteome by about 2-3 orders of magnitude, the difference between medium-abundant and low abundant plasma proteins is still in the range of 7-8 orders of magnitude and beyond the dynamic range of current proteomic technologies. Thus, exploring the plasma proteome in greater detail remains a daunting task.     

Necessity of meningococcal gamma-glutamyl aminopeptidase for Neisseria meningitidis growth in rat cerebrospinal fluid (CSF) and CSF-like medium

The growth of a gamma-glutamyl aminopeptidase (GGT)-deficient Neisseria meningitidis strain was much slower than that of the parent strain in rat cerebrospinal fluid (CSF) and in a synthetic CSF-mimicking medium, and the growth failure was suppressed by the addition of cysteine. These results suggested that, in the environment of cysteine shortage, meningococcal GGT provided an advantage for meningococcal multiplication by supplying cysteine from environmental gamma-glutamyl-cysteinyl peptides.     

Beta-amyloid (Abeta) protein in cerebrospinal fluid as a biomarker for Alzheimer's disease

With the arrival of symptomatic treatment (acetylcholine esterase inhibitors) and the promise of drugs that may delay disease progression, development of diagnostic biomarkers for Alzheimer's disease (AD) are important. Beta-Amyloid (Abeta) protein is the main component of senile plaques. A marked reduction in cerebrospinal fluid (CSF)-Abeta42 in AD has been found in numerous studies. Importantly, reduced CSF-Abeta42 is also found very early in the disease process, before the onset of clinical symptoms. Recent studies suggest that CSF-Abeta42 have a satisfactory performance when used as a diagnostic marker for AD in clinical routine. This paper reviews CSF-Abeta42 as a biomarker for AD.     

An approach to remove albumin for the proteomic analysis of low abundance biomarkers in human serum

Proteomic technologies are being used to discover and identify disease-associated biomarkers. The application of these technologies in the search for potential diagnostic/prognostic biomarkers in the serum of patients has been limited by the presence of highly abundant albumin and immunoglobulins that constitute approximately 60-97% of the total serum proteins. The purpose of the study was to evaluate whether treatment of human serum with Affi-Gel Blue alone or in combination with Protein A (Aurum serum protein mini kit, Bio-Rad) before two-dimensional gel electrophoresis (2-DE) analysis removed high abundance proteins to allow the visualization of low abundant proteins. Serum samples were treated with either Affi-Gel Blue or Aurum kit and then subjected to 2-DE using 11 cm, pH 4-7 isoelectric focussing strips for the first dimension and 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis for second dimension. Protein spots were visualized using a fluorescent protein dye (SYPRO Ruby, Bio-Rad). Comparison between treatment methods showed significant removal of albumin by both Affi-Gel Blue and Aurum kit and considerable differences in the protein profile of the gels after each treatment. Direct comparison between treatments revealed twenty-eight protein spots unique to Affi-Gel Blue while only two spots were unique after Aurum kit treatment. Unique spots in Affi-Gel Blue and Aurum kit treated serum were not visualized in untreated serum. Sixteen hours of Affi-Gel Blue treatment resulted in enhanced visualization of fifty-three protein spots by two-fold, thirty-one by five-fold, twelve by ten-fold and six by twenty-fold. In parallel after Aurum kit treatment two-, five-, ten- and twenty-fold enhancements of thirty, thirteen, eight and five protein spots, respectively, were observed. The pattern of increased visualization of protein spots with both treatment methods was similar. In conclusion, treatment of serum samples with Affi-Gel Blue or Aurum kit before 2-DE analysis can be used to remove high abundance proteins in order to increase the detection sensitivity of proteins present in low abundance.     

High-abundant protein depletion strategies applied on dog cerebrospinal fluid and evaluated by high-resolution mass spectrometry

As the number of fully sequenced animal genomes and the performance of advanced mass spectrometry-based proteomics techniques are continuously improving, there is now a great opportunity to increase the knowledge of various animal proteomes. This research area is further stimulated by a growing interest from veterinary medicine and the pharmaceutical industry. Cerebrospinal fluid (CSF) is a good source for better understanding of diseases related to the central nervous system, both in humans and other animals.In this study, four high-abundant protein depletion columns, developed for human or rat serum, were evaluated for dog CSF. For the analysis, a shotgun proteomics approach, based on nanoLC-LTQ Orbitrap MS/MS, was applied. All the selected approaches were shown to deplete dog CSF with different success. It was demonstrated that the columns significantly improved the coverage of the detected dog CSF proteome. An antibody-based column showed the best performance, in terms of efficiency, repeatability and the number of proteins detected in the sample. In total 983 proteins were detected. Of those, 801 proteins were stated as uncharacterized in the UniProt database. To the best of our knowledge, this is the so far largest number of proteins reported for dog CSF in one single study.     

Differential protein expression in male and female human lumbar cerebrospinal fluid using iTRAQ reagents after abundant protein depletion

Cerebrospinal fluid (CSF) has become one of the most frequently used biological medium for physiological studies for neurological disorders due to its proximity to the brain and clinical availability; however, before undertaking a rational approach to biomarker discovery or diagnostics, it is crucial to understand the underlying characteristics of CSF proteome in subpopulations. In this study, we examined the differential expression of proteins in pooled male and female CSF utilizing isobaric tags for relative and absolute quantification (iTRAQ) reagents after the depletion of six high abundant proteins using a multiple affinity removal system (MARS). A total of 219 proteins were identified (95% confidence level), and 12 proteins showed difference in expression levels. Eleven out of 12 differentially expressed proteins showed ratios of male/female between 1.15 and 1.29 (duplicate average), indicating a remarkable similarity between male and female CSF. One notable exception was the slightly lower expression level of ceruloplasmin (ferroxidase) in male CSF (0.81), a copper containing protein that catalyzes the conversion of ferrous iron to ferric iron with antioxidant properties. We also examined the levels of ceruloplasmin in each individual patient sample which constituted the pooled CSF using Western blot analysis which confirmed the lower expression levels of ceruloplasmin in male CSF.     

Comparison of protein solubilization methods suitable for proteomic analysis of soybean seed proteins

Extraction of soybean seed proteins for two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry analysis is challenging and inconsistent. In this study, we compared four different protein extraction/solubilization methods-urea, thiourea/urea, phenol, and a modified trichloroacetic acid (TCA)/acetone-to determine their efficacy in separating soybean seed proteins by 2D-PAGE. In all four methods, seed storage proteins were well separated by 2D-PAGE with minor variations in the intensity of the spots. The thiourea/urea and TCA methods showed higher protein resolution and spot intensity of all proteins compared with the other two methods. In addition, several less abundant and high molecular weight proteins were clearly resolved and strongly detected using the thiourea/urea and TCA methods. Protein spots obtained from the TCA method were subjected to mass spectrometry analysis to test their quality and compatibility. Fifteen protein spots were selected, digested with trypsin, and analyzed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and liquid chromatography mass spectrometry (LC-MS). The proteins identified were beta-conglycinin, glycinin, Kunitz trypsin inhibitor, alcohol dehydrogenase, Gly m Bd 28K allergen, and sucrose binding proteins. These results suggest that the thiourea/urea and TCA methods are efficient and reliable methods for 2D separation of soybean seed proteins and subsequent identification by mass spectrometry.     

Use of peptide analogue diversity library beads for increased depth of proteomic analysis: application to cerebrospinal fluid

Biological samples can contain proteins with concentrations that span more than 10 orders of magnitude. Given the limited dynamic range of analysis methods, observation of proteins present at the lower concentrations requires depletion of high-abundance proteins, or other means of reducing the dynamic range of concentrations. Hexapeptide diversity library beads have been used to bind proteins in a complex sample up to a given saturation limit, effectively truncating the maximum concentration of proteins at a desired level. To avoid the potential problem of susceptibility of the hexapeptides to cleavage by proteases in the sample and/or bacterial degradation, peptide analogues that exhibit similar binding characteristics to peptides can be used in place of peptides. We report here the use of hexameric peptoid diversity library beads to reduce the dynamic range of protein concentrations in human cerebrospinal fluid (CSF). Using this method in conjunction with 2D LC/MS/MS analyses, we identified 200 unique proteins, about twice the number identified in untreated CSF.     

Spectral counting assessment of protein dynamic range in cerebrospinal fluid following depletion with plasma-designed immunoaffinity columns

Background  

In cerebrospinal fluid (CSF), which is a rich source of biomarkers for neurological diseases, identification of biomarkers requires methods that allow reproducible detection of low abundance proteins. It is therefore crucial to decrease dynamic range and improve assessment of protein abundance.