Literature DB >> 26471478

Depletion of highly abundant proteins from human cerebrospinal fluid: a cautionary note.

Ramona Günther1, Eberhard Krause1, Michael Schümann1, Ingolf E Blasig1, Reiner F Haseloff2.   

Abstract

Affinity-based techniques, both for enrichment or depletion of proteins of interest, suffer from unwanted interactions between the bait or matrix material and molecules different from the original target. This effect was quantitatively studied by applying two common procedures for the depletion of albumin/gamma immunoglobulin to human cerebrospinal fluid. Proteins of the depleted and the column-bound fraction were identified by mass spectrometry, employing (18)O labeling for quantitation of their abundance. To different extents, the depletion procedures caused the loss of proteins previously suggested as biomarker candidates for neurological diseases. This is an important phenomenon to consider when quantifying protein levels in biological fluids.

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Year:  2015        PMID: 26471478      PMCID: PMC4608131          DOI: 10.1186/s13024-015-0050-7

Source DB:  PubMed          Journal:  Mol Neurodegener        ISSN: 1750-1326            Impact factor:   14.195


Background

Affinity chromatography-based enrichment or depletion techniques are of great importance in both basic and applied protein research in the biomedical field. Many different materials are utilized for binding specific targets - ranging from native (e.g., immunoglobulins), or tagged proteins/protein domains to smaller structures such as synthetic peptides. Protein-protein interaction studies in or protein purification from complex environments are unthinkable without co-immunoprecipitation protocols or other types of pull-down assays. On the other hand, the search for biomarkers using proteomic methods can be facilitated after depletion of highly abundant proteins from biological fluids [1]. However, affinity-based techniques suffer from an annoying disadvantage: non-specific binding, either to the bait molecule or to the matrix material, can significantly impair the quality of the experiment. False positive results may arise or potential biomarkers can be removed from the biological sample. Human cerebrospinal fluid (hCSF) experiences increasing interest as a source of biomarkers of neurological diseases [2]. In the present contribution, two common principles of albumin and immunoglobulin removal, Cibacron Blue/Protein A (CB-D)- and antibody/Protein G-based (AB-D) depletion, have been tested with respect to their specificity when applied to hCSF. Although the problem is qualitatively described in the literature, quantitative data on non-specific binding occurring in affinity approaches (which are important, e.g., for the reliable identification of potential biomarkers) are not available so far. Here, we use mass spectrometry (MS)-based protein identification combined with stable isotope labeling by incorporation of 18O for relative quantification of co-depleted proteins [3]. The results demonstrate that the abundance of numerous proteins, including many biomarker candidates, is strongly influenced by depletion procedures.

Co-depletion removes potential biomarker proteins

The depletion of albumin and immunoglobulins was accomplished by application of two different approaches, CB-D and AB-D (Additional file 1: for experimental details). Briefly, the column-bound and depleted fractions were collected and separated by one-dimensional sodium dodecyl sulfate gel electrophoresis. In-gel digestion of both lanes using trypsin was performed for the column-bound fraction in H218O and for the flow-through fraction in normal water. Peptide extracts originating from gel slices of identical molecular weight were combined. Subsequent mass spectrometry identified the proteins and their respective depletion ratios R = Ic/Id (mass spectra intensities of column-bound vs. depleted fraction) via analysis of the isotope distribution. The Coomassie-stained gels (Additional file 2: Figure S1) demonstrate that both depletion procedures used for the experiments removed albumin and IgGs from the hCSF sample. The efficacy of albumin depletion was determined by densitometric analysis of the main albumin gel bands (Icolumn-bound/Idepleted = 0.59 for CB-D, 2.41 for AB-D). The gel bands of the column-bound fraction indicate that there is considerable co-depletion of proteins, in particular after application of CB-D. Preliminary experiments directed at analyzing the identities of proteins in the column-bound fractions revealed overwhelming dominance of albumin fragments in gel bands with apparent molecular masses ≤64 kDa. Thus, MS-based quantitative evaluation was carried out for gel slices covering all proteins with apparent molecular masses above the albumin band. An overview of the vulnerability of both procedures for co-depletion is shown in Fig. 1, which presents the distribution of the incidence of depletion ratios R.
Fig. 1

Distribution of ratios R (R = Ic/Id, Ic, Id, mass spectrometry signal intensities of proteins [mean of corresponding peptide ratios] in column-bound/depleted fractions) for Cibacron Blue/Protein A- (blue filled circles) and antibody/Protein G-based depletion (red open circles)

Distribution of ratios R (R = Ic/Id, Ic, Id, mass spectrometry signal intensities of proteins [mean of corresponding peptide ratios] in column-bound/depleted fractions) for Cibacron Blue/Protein A- (blue filled circles) and antibody/Protein G-based depletion (red open circles) For the CB-D method, 17 of the entries with R ≥ 50 refer to immunoglobulins (24 entries in total, Additional file 3: Table S1) identified with ratios indicating almost complete elimination from the sample. However, there is also efficient co-depletion: 28 proteins different from immunoglobulins are found at more than 50-fold excess in the column-bound fraction also indicating virtually total loss in the depleted fraction. These 28 gene products include 24 proteins (selection given in Table 1) which have been previously classified as potential biomarkers for specific (preferentially neurodegenerative) diseases. The candidate marker proteins with the highest depletion-caused loss include junction plakoglobin (suggested as a marker of atherosclerosis [4]), colony-stimulating factor 1 receptor (marker candidate of amyotrophic lateral sclerosis [5]) and plasminogen (marker candidate of Alzheimer’s disease (AD) [6]). Differential expression has been demonstrated for complement C5, ectonucleotide pyrophosphatase/phosphodiesterase family member 2 and α-2-macroglobulin in the CSF of CNS lymphoma patients as well as for complement C7 and coagulation factor V in choroid plexus tumors [7].
Table 1

Proteins identified in column-binding fractions (selection)

ProteinAccessionRReference
Cibacron Blue/Protein A – based depletion
 Junction plakoglobinsp|P14923>50[4]
 Complement component C7sp|P10643>50[7]
 Complement C5sp|P01031>50[7]
 Plasminogensp|P00747>50[8]
 Colony-stimulating factor 1 receptortr|E9PEK4>50[5]
 Ectonucleotide pyrophosphatase/phosphodiesterase 2tr|E7EUF1>50[7]
 Alpha-2-macroglobulinsp|P01023>50[6]
 Coagulation factor Vsp|P12259>50[7]
 Complement factor Btr|B4E1Z4>50[6]
 Complement C1r subcomponentsp|P00736>50[7]
 Gelsolinsp|P06396>50[6]
 Isoform 2 of amyloid-like protein 1sp|P51693-2>50[6]
 Fibulin-1sp|P23142>50[7]
 Complement C2sp|P06681>50[6]
 Complement factor Hsp|P08603>50[9]
 Neurexin-2-alphasp|Q9P2S2>50[8]
 Complement C3sp|P01024>50[8]
Antibody/Protein G – based depletion
 Desmoglein-1sp|Q02413>50[8]
 Calmodulin-like protein 5sp|Q9NZT150 > R > 20[8]
 Collagen alpha-1(I) chainsp|P0245220 > R > 2[8]
 Collagen, alpha-2(I) chaintr|F5H29920 > R > 2[6]
 Complement factor Hsp|P086032 > R > 0.5[9]
 Plasminogensp|P007472 > R > 0.5[8]
 Alpha-1-antitrypsinsp|P010092 > R > 0.5[9]
 Isoform 2 of calsyntenin-1sp|O94985-22 > R > 0.5[9]

Accession, accession number in SwissProt (sp)/Tremble (tr) data base; R, MS signal intensity ratio Icolumn-bound/Idepleted; Ref., reference suggesting eligibility as a biomarker; complete lists of identified proteins available as additional files (Additional files 3 and 4: Tables S1 and S2)

Proteins identified in column-binding fractions (selection) Accession, accession number in SwissProt (sp)/Tremble (tr) data base; R, MS signal intensity ratio Icolumn-bound/Idepleted; Ref., reference suggesting eligibility as a biomarker; complete lists of identified proteins available as additional files (Additional files 3 and 4: Tables S1 and S2) Much lower protein loss due to co-depletion was observed after antibody-based depletion (Table 1, complete results in Additional file 4: Table S2). Nevertheless, several potential biomarker proteins were also found to dominate the column-bound fractions. Desmoglein-1, calmodulin-like protein 5, collagen alpha-1(I) chain and plasminogen have been identified as marker candidates for multiple sclerosis [8] while increased levels of α-1-antitrypsin and calsyntenin-1 (isoform 2) have been found in the CSF of AD and Parkinson’s disease patients, respectively [9].

Depletion protocols: caution advised

Non-specific binding is inherent in affinity-based enrichment or depletion protocols. The efficacy of the Cibracon Blue/Protein A-based procedure for immunoglobulin depletion was found significantly higher as compared to the antibody-based method which in turn showed a lower co-depletion. For albumin and immunoglobulins, non-specific association overlaps with the functional binding of these proteins to their target molecules present in biological fluids or cells. Recent data obtained using identical depletion techniques for canine CSF indicate that indeed both phenomena occur [10]. However, for the practical problem of the depletion of highly abundant proteins, it is obviously irrelevant which mechanisms (non-specific binding to matrix/bait or specific binding to bait molecule) cause the observed co-depletion.

Conclusion

For affinity approaches, there is a lack of quantitative data on unwanted removal (or enrichment) of proteins, although this information is of crucial importance for assessing the quality of an experiment and the reliability of its results. With respect to depletion procedures, our quantitative approach demonstrated that many proteins previously identified as potential biomarkers are completely removed from the hCSF sample, often with even higher efficiency than the original target of the procedure. The supplemental tables give (non-exhaustive) lists of proteins that were particularly affected in these experiments. Taking this into account, it is obvious that the quantification of the abundance of many proteins is prone to major systematic errors when the sample preparation includes depletion protocols of the types investigated here. Moreover, the presented data, although obtained for depletion procedures, can also be relevant for approaches based on similar protocols for affinity enrichment.
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