Low-abundance Proteome Research Articles

Comparative evaluation of label-free quantification strategies

The selection of a data processing method for use in mass spectrometry-based label-free proteome quantification contributes significantly to its accuracy and precision. In this study, we comprehensively evaluated 7 commonly-used label-free quantification methods (MaxQuant-Spectrum count, MaxQuant-iBAQ, MaxQuant-LFQ, MaxQuant-LFAQ, Proteome Discoverer, MetaMorpheus, TPP-StPeter) with a focus on missing values, precision, accuracy, selectivity, and reproducibility of low abundance protein quantification in both single shot and fractionation. Our results showed that among the tested strategies, MaxQuant in MaxLFQ mode outperformed other strategies in terms of accuracy and precision in both whole proteome and low abundance proteome quantification, whereas the Proteome Discoverer (PD) strategy using SEQUEST as a search engine performed better in terms of quantifiable low abundance proteome coverage. We subsequently applied the PD and MaxLFQ strategies in a blood proteomic dataset and found that many FDA-approved tumor prognostic biomarkers could be identified as well as quantified using the PD strategy, indicating the potential advantage of PD in label-free quantification studies. These results provide a reference for method choice in label-free quantification data analysis. SignificanceMass spectrometry-based label-free quantification methods play an important role in label-free proteome data analysis. In this study, we evaluated 7 commonly-used label-free quantification methods with respect to the following aspects: missing values, precision, accuracy, selectivity, and reproducibility for low abundance protein quantification. The results showed that, among the strategies evaluated, the PD strategy with SEQUEST as a search engine performed better in terms of low abundance protein coverage. This study provides a reference for method choice in label-free quantification data analysis.

The effect of colostrum intake on blood plasma proteome profile in newborn lambs: low abundance proteins.

BackgroundColostrum intake by newborn lambs plays a fundamental role in the perinatal period, ensuring lamb survival. In this study, blood plasma samples from two groups of newborn lambs (Colostrum group and Delayed Colostrum group) at 2 and 14 h after birth were treated to reduce the content of high abundance proteins and analyzed using Two-Dimensional Differential in Gel Electrophoresis and MALDI MS/MS for protein identification in order to investigate low abundance proteins with immune function in newborn lambs.ResultsThe results showed that four proteins were increased in the blood plasma of lambs due to colostrum intake. These proteins have not been previously described as increased in blood plasma of newborn ruminants by colostrum intake. Moreover, these proteins have been described as having an immune function in other species, some of which were previously identified in colostrum and milk.ConclusionsIn conclusion, colostrum intake modified the low abundance proteome profile of blood plasma from newborn lambs, increasing the concentration of apolipoprotein A-IV, plasminogen, serum amyloid A and fibrinogen, demonstrating that colostrum is essential, not only for the provision of immunoglobulins, but also because of increases in several low abundance proteins with immune function.

Mark Twain: How to fathom the depth of your pet proteome

The present review highlights recent progresses in the technique of combinatorial peptide ligand libraries (CPPL), a methodology that has much to offer for the detection of low- to very-low abundance proteins (nanograms/mL scale and below) in any proteome. In particular, advances in exploration of the urinary, plasma and tissue proteomes are discussed and evaluated. It is shown that when treating biological fluids, such as plasma, with CPLLs, the detection sensitivity, which in the control only reaches 10 ng/mL, can be enhanced to as high as 10 pg/mL, with an increment of sensitivity of three orders of magnitude. The possibility of using CPLLs as a two-dimensional pre-fractionation of any proteome is also evaluated: on the charge axis, CPLL capture can be implemented at no less than three different pH values (4.0, 7.2 and 9.3), thus permitting a capture of proteinaceous analytes bearing a net positive or net negative charge, respectively. When capture is performed in the absence of salts or at high levels of salts (of the Hofmeister series), one can favor the capture of hydrophilic vs. hydrophobic proteins, respectively. This would thus be a genuine 2D protocol, working on orthogonal separation principles (charge vs. hydrophobicity). As the horizon of CPLLs is expanding and its use is exponentially growing, we expect major breakthroughs in, e.g., biomarker discovery, a field that has suffered a decade of failures.

High-throughput fractionation of human plasma for fast enrichment of low- and high-abundance proteins.

Fast, cost-effective and reproducible isolation of IgM from plasma is invaluable to the study of IgM and subsequent understanding of the human immune system. Additionally, vast amounts of information regarding human physiology and disease can be derived from analysis of the low abundance proteome of the plasma. In this study, methods were optimized for both the high-throughput isolation of IgM from human plasma, and the high-throughput isolation and fractionation of low abundance plasma proteins. To optimize the chromatographic isolation of IgM from human plasma, many variables were examined including chromatography resin, mobile phases, and order of chromatographic separations. Purification of IgM was achieved most successfully through isolation of immunoglobulin from human plasma using Protein A chromatography with a specific resin followed by subsequent fractionation using QA strong anion exchange chromatography. Through these optimization experiments, an additional method was established to prepare plasma for analysis of low abundance proteins. This method involved chromatographic depletion of high-abundance plasma proteins and reduction of plasma proteome complexity through further chromatographic fractionation. Purification of IgM was achieved with high purity as confirmed by SDS-PAGE and IgM-specific immunoblot. Isolation and fractionation of low abundance protein was also performed successfully, as confirmed by SDS-PAGE and mass spectrometry analysis followed by label-free quantitative spectral analysis. The level of purity of the isolated IgM allows for further IgM-specific analysis of plasma samples. The developed fractionation scheme can be used for high throughput screening of human plasma in order to identify low and high abundance proteins as potential prognostic and diagnostic disease biomarkers.

Plasma proteomics for biomarker discovery: A study in blue

The performance of Cibacron Blue dye (HiTrapBlue or Affigel Blue) in depleting albumin from plasma, as a pre-treatment for biomarker searching in the low-abundance proteome, is here assessed. It is shown that (i) co-depletion of non-albumin species is an ever-present hazard; (ii) the only proper eluant able to release quantitatively the proteins bound to the dye is boiling 4% SDS-25 mM DTT, an ion shock (2 M NaCl) being quite ineffective in releasing the low-abundance species tightly bound to the dye moiety; (iii) the mechanism of dye-protein interaction, after an initial ion-ion docking, is a robust hydrophobic interaction, which progressively augments at lower and lower pH values; (iv) at pH 2.2 in the presence of 0.1% TFA, the blue resin behaves, for all practical purposes, just as a reverse-phase chromatography column, since all residual proteins present in plasma are completely harvested. However Cibacron Blue technology should not necessarily be discarded: As long as also the plasma fraction adsorbed is properly released and analyzed, together with the flow through, one should be able to perform a viable analysis of the low-abundance proteome.

Combinatorial peptide ligand libraries: The conquest of the ‘hidden proteome’ advances at great strides

The combinatorial peptide ligand library (CPLL) is compared here with the immuno-depletion method for evaluating their respective abilities in digging deeper and deeper into the low-abundance proteome. A recent report suggested in fact that immuno-subtraction for biomarkers discovery in sera does not perform so well, since it results in a meagre 25% increase in identified proteins compared with unfractionated plasma, leaving little capacity to sample lower abundance proteins. On the contrary, CPLLs permit from 300 to 600% increments in detection abilities, as amply demonstrated in several reports. Moreover, when dealing with large sample volumes, an amplification factor of up to four orders of magnitude for trace proteins could be demonstrated, with 80% capture efficiencies even in large (up to 1 L) sample volumes. At present, the lower detection ability of CPLLs has been evaluated at 1 ng/mL (traces of casein additives in white wines).

“Proteomineering” or not? The debate on biomarker discovery in sera continues

The performance of sera pre-treatments for biomarker discovery has been recently assessed as very poor not only for immuno-subtraction, in turn evaluated as a tool unable to look deep into the low-abundance proteome (LAP) and thus incapable to lead to any novel biomarker discovery (J Proteome Res 2010;9:4982-4991), but also for combinatorial peptide ligand libraries (CPLL) (Proteomics 2010;10:1416-1425). The performance of both tools has been given as enabling to barely detect a meagre 25% more as compared to control, untreated sera. Meanwhile, other studies indicated the extreme effectiveness of peptide libraries to enlarge the knowledge of proteome compositions. In this contradictory situation we are here re-evaluating some protocol aspects and report that indeed CPLL is an excellent tool, able to dig really deep into the low-abundance proteome. The problem is that in those reports under-optimized capture and elution protocols had been adopted. With the protocols here reported, namely (a) abandoning the step of adding 150mM salt to the sample; (b) capture at three different pH values (pH 4.0, 7.0 and 9.3) and (c), most importantly, eluting from CPLL beads in 4% boiling SDS in the presence of 25mM DTT, we can largely expand the windows of visibility. In particular, it is here shown that a common elution protocol adopted in several reports, in 4M urea and 1% CHAP, barely elutes about 15% of the captured species. Nevertheless if the CPLL beads thus treated are further eluted with boiling SDS-DTT, an additional 80% is recovered.

Comprehensive analysis of low‐abundance proteins in human urinary exosomes using peptide ligand library technology, peptide OFFGEL fractionation and nanoHPLC‐chip‐MS/MS

Human urinary exosomes are 30-100 nm vesicles that originate as the internal vesicles in multivesicular bodies from every renal epithelial cell type facing the urinary track and may serve as a suitable noninvasive starting material for biomarker discovery relevant to a variety of renal disease. To comprehensively explore the low-abundance proteome, combinatorial peptide ligand libraries, combined with peptide OFFGEL electrophoresis were employed for the enrichment and separation of relatively low-abundant proteins in urinary exosomes. After analysis by nanoHPLC-chip-MS/MS, 512 proteins were identified, including a large number of proteins with extreme molecular weight or extreme pI value, which could not be well mapped by using traditional 2-D-gel-based separation methods. This in-depth analysis of low-abundant proteins in urinary exosomes led to an increased understanding of molecular composition of these little vesicles and may be helpful for the discovery of novel biomarker. Our work also provides an effective strategy of concentration and identification of low-abundance proteome from complex bio-samples.

The art of observing rare protein species in proteomes with peptide ligand libraries

The present review deals with the use of combinatorial ligand libraries, composed by hexapeptides, in the capture and concentration of the low-abundance proteome. This method, first reported in 2005, is compared with other current methodologies aimed at exploring the "deep proteome", such as: depletion of high-abundance proteins (especially in sera and cerebrospinal fluid) by individual or combined antibodies (up to 20 against the most abundant species); narrow (1-pH-unit) IPGs (zoom gels) and prefractionation with multicompartment electrolyzers or with Off-Gel electrophoresis. The physico-chemical properties of the hexapeptide library are also explored, namely in assessing the proper length of the baits and the behavior of shorter oligopeptides, down to capture elicited by single amino acids. A number of examples on the use of this library is given, such as the analysis of biological fluids (human sera, urine, bile, cerebrospinal fluid) and of cell lysates (platelets, red blood cells). In all cases, it was possible to detected from three to five times as many proteins as compared to control, untreated samples. Perhaps the most spectacular results were obtained with the erythrocyte proteome, where 1570 proteins could be identified in the "minority" proteome, representing only 2% of the total cell lysate. Another interesting area of application regards the concentration and detection of trace impurities contaminating r-DNA proteins meant for human consumption: several host proteins, never reported before, could be revealed for the first time. Other nonhuman samples are currently under investigation, such as egg-white (where no less than 148 unique gene products could be identified), egg yolk (with 255 unique species) and latex from Hevea brasiliensis. It is anticipated that the ligand library could be a most useful tool for detecting biomarkers for different pathologies and for drug treatment. As a future outlook, one could envision the synthesis of specialized libraries able to capture given classes of proteins (e.g., phospho- and glyco-proteins). Additionally, the library could be used in association with other techniques currently in vogue, such as zoom gels, Off-Gels, and the like.

Proteomic Expression Analysis of Surgical Human Colorectal Cancer Tissues: Up-Regulation of PSB7, PRDX1, and SRP9 and Hypoxic Adaptation in Cancer

Colorectal adenocarcinoma is one of the worldwide leading causes of cancer deaths. Discovery of specific biomarkers for early detection of cancer progression and the identification of underlying pathogenetic mechanisms are important tasks. Global proteomic approaches have thus far been limited by the large dynamic range of molecule concentrations in tissues and the lack of selective enrichment of the low-abundance proteome. We studied paired cancerous and normal clinical tissue specimens from patients with colorectal adenocarcinomas by heparin affinity fractionation enrichment (HAFE) followed by 2-D PAGE and tandem mass spectrometric (MS/MS) identification. Fifty-six proteins were found to be differentially expressed, of which 32 low-abundance proteins were only detectable after heparin affinity enrichment. MS/MS was used to identify 5 selected differentially expressed proteins as proteasome subunit beta type 7 (PSB7), hemoglobin alpha subunit (HBA), peroxiredoxin-1 (PRDX1), argininosuccinate synthase (ASSY), and signal recognition particle 9 kDa protein (SRP9). This is the first proteomic study detecting the differential expression of these proteins in human colorectal cancer tissue. Several of the proteins are functionally related to tissue hypoxia and hypoxic adaptation. The relative specificities of PSB7, PRDX1, and SRP9 overexpression in colon cancer were investigated by Western blot analysis of patients with colon adenocarcinomas and comparison with a control cohort of patients with lung adenocarcinomas. Furthermore, immunohistochemistry on tissue sections was used to define the specific locations of PSB7, PRDX1, and SRP9 up-regulation within heterogeneous primary human tumor tissue. Overexpression of the three proteins was restricted to the neoplastic cancer cell population within the tumors, demonstrating both cytoplasmic and nuclear localization of PSB7 and predominantly cytoplasmic localization of PRDX1 and SRP9. In summary, we describe heparin affinity fractionation enrichment (HAFE) as a prefractionation tool for the study of the human primary tissue proteome and the discovery of PSB7, PRDX1, and SRP9 up-regulation as candidate biomarkers of colon cancer.

The ProteoMiner in the proteomic arena: A non-depleting tool for discovering low-abundance species

Combinatorial ligand libraries, composed by millions of hexapeptides, are here reviewed in terms of their ability of capturing the low-abundance proteome. First, the physico-chemical properties of such libraries are dealt with, especially in regard to the proper length of the bait. The capturing ability of single amino acids has been assessed demonstrating that there exist a protein adsorption capability dichotomy, by which 8 amino acids (Arg, Lys, His, Phe, Tyr, Trp, Val and Leu) are classified as interacting with a large number of proteins with all the remaining amino acids with limited capturing capabilities. The highest performance in capturing the largest possible population of proteins is offered by the three hydrophobic, aromatic amino acids, i.e. Phe, Tyr and Trp, suggesting that hydrophobic motifs are those responsible for the strongest, and most frequently occurring, interactions. By exploring baits ranging from single, individual amino acids, to di-, tri-, tetra- penta- and hexapeptides, it was demonstrated that the 6-mer baits are the ones with the most promising length for capturing the largest possible population of proteins and that probably longer lengths would hardly be needed. Some examples are given on the ability to explore the low-abundance proteome in two systems, notably chicken egg white and yolk. In both cases, by using the peptide library methodology, it is possible to detect at least twice as many protein species as compared to the best results obtained so far with the most advanced proteomics studies using highly sophisticated mass spectrometry tools.

The ProteoMiner and the FortyNiners: Searching for gold nuggets in the proteomic arena

The present review covers modern aspects of combinatorial peptide ligand libraries (CPLL), as used to analyze the "low-abundance proteome" in association with mass spectrometry. First, the capturing properties of baits of different lengths (from single amino acid to hexa-peptides) are described to show that a plateau is rapidly reached above a tetra-peptide in length, thus confirming the validity of having adopted hexapeptides for the considered application. The mechanism of interaction with proteins from very complex proteomes and the ability to decrease the dynamic concentration range is demonstrated with the help of mass spectrometry analysis. Examples are given on how treatment with CPLLs dramatically improves the detectability of peptides in mass spectrometry analysis, permitting detection of a very large number of proteins as compared with control, untreated samples. The use of complementary libraries is discussed with the aim to discover additional low-abundance species that escaped the first library. A discussion on the possibility to discover extremely rare gene products, and the quantitative aspect of the technology when associated with mass spectrometry is also provided. Some insights on the applications for hidden, low-abundance biomarkers are also presented.

Performance of Combinatorial Peptide Libraries in Capturing the Low-Abundance Proteome of Red Blood Cells. 2. Behavior of Resins Containing Individual Amino Acids

Sixteen different amino acids (Arg, Asn, Asp, Gln, Glu, Gly, His, Ile, Lys, Phe, Pro, Ser, Thr, Trp, Tyr, Val) have been separately linked to chromatographic beads and used for studying the mechanism of binding of such baits to proteins, as represented by the cytoplasmic proteome of the human red blood cell (RBC). The 16 different amino acid columns were confronted with equal amounts of RBC lysate, washed to remove unbound material, and eluted with denaturing agents. All eluates were analyzed by nanoLC-MS/MS. there appears to be a dichotomy between a class of "Grand Catchers" (Arg, His, Ile, Lys, Phe, Trp, Tyr, Val), all able to bind from 330 up to 441 unique gene products, and the "Petite Catchers" (Asn, Asp, Gln, Glu, Gly, Pro, Ser, Thr), that bind in general half as much, with the notable exception of Glu that under the described conditions seems to bind only traces of proteins. By comparing homogeneous classes of amino acids (e.g., the basic, the hydrophobic aromatic, the neutral hydrophilic, etc.), it is found that, in general, more than half as many proteins are held in common among the members of each family. In a 16-way comparison, 72 proteins (less than 10% of the total amount, which amounts to 800 unique, nonredundant, identified proteins) appear to be the common catch of all 16 amino acids, suggesting that such proteins might have either multiple binding sites or general motifs recognized by any generic bait. By far, it would appear that the strongest interactions and thus the strongest catches occur with the three aromatic moieties of Phe, Trp, and Tyr, all able to capture a practically identical number of proteins. Ionic interactions, which in principle should be the strongest ones, appear to behave in a peculiar way: they are quite strong with the three basic amino acids (Arg, His, Lys) but almost inexistent with their acidic counterparts. This suggests a peculiar mechanism of interaction: upon formation of the ion pair, the linkage between the protein and the bait is stabilized by the hydrophobicity of the underlying chain (e.g., a butyl in the case of Lys).

Performance of Combinatorial Peptide Libraries in Capturing the Low-Abundance Proteome of Red Blood Cells. 1. Behavior of Mono- to Hexapeptides

For a better understanding of the behavior of solid-phase combinatorial peptide ligands for capturing the red blood cell low-abundance soluble proteome, combinatorial peptides of different lengths from a single amino acid up to a hexapeptide were evaluated. A red blood cell lysate (6 g total protein) was loaded in a cascade fashion to the six columns, which were individually eluted with 8 M urea, 2% 3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate (v/w), and 50 mM citric acid. Each eluate was analyzed via sodium dodecyl sulfate polyacrylamide gel electrophoresis, two-dimensional maps, and nanoLC-MS/MS. mixed beads with a single amino acid attached showed the capture of a non-negligible portion of the proteome. A progressive increasing of the length of the peptide bait enlarges the pool of captured proteins. Above a length of four amino acids, a plateau is progressively reached, suggesting that not much could be gained with baits longer than six amino acids. Interestingly, whereas the beads laden with a single amino acid seem to be able to capture large-size proteins (>40 kDa), beads with progressively longer peptides capture additional proteins in the smaller size range (10-50 kDa). This suggests that interactions already begin with a single amino acid, but selectivity requires baits of proper length, at least above four amino acids. Plain beads, with a spacer arm carrying a primary amino terminal group for anchoring the baits, are essentially unable to capture proteins, suggesting that the peptide baits do not act by a mechanism of ion exchange but rather via a complex mixed mode, yielding a specific capture.

Hexapeptide Combinatorial Ligand Libraries: The March for the Detection of the Low-Abundance Proteome Continues

After 10 years of extensive proteomic research, it has become increasingly apparent that new technologies are sorely needed for detecting the low-abundance proteome-those proteins (up to 50% in any proteome) whose concentration in tissues or cells falls below the detection limits of currently available methodologies. Here we survey one such method: a combinatorial ligand library (called ProteoMiner), comprising dozens of millions of hexapeptides capable of interacting with most, if not all, proteins in any given proteome. They act by drastically reducing the signal of high-abundance species while increasing the level of the low-abundance components to bring their signal within the detection limit of present-day tools. Such a library has been tested against a number of human biological fluids, such as sera, urine, cerebrospinal fluid as well as against cell lysates (e.g., platelets, red blood cells) with interesting results.

The “Invisible Proteome”: How to Capture the Low-Abundance Proteins Via Combinatorial Ligand Libraries

Despite recent advances in pre-fractionation procedures and depletion methods via immuno-subtraction protocols of the most abundant species, the “low-abundance” proteome remains largely undetected. We report here a novel technology, called ProteoMiner, for bringing to the limelight this vast pool of low-abundance species, which could constitute > 50% of any proteome in any living organism. It consists of a combinatorial ligand library, composed of millions of diverse hexapeptide baits, able to capture and concentrate the “low-abundance” proteome, while drastically cutting the concentration of the most abundant compounds. Since no depletion of any species is contemplated by this methodology, but a drastic reduction of the sample dynamic range, the noxious phenomenon of co-depletion (especially troublesome in affinity depletion methods) does not occur. In addition to previously reported data on analysis of human sera and urines, we describe here novel applications for the detection of the low-abundance proteome in human blood cells, such as the red blood cells (RBC) and platelets and in biological fluids, such as cerebrospinal fluid. In particular, in the case of RBC, where hemoglobin alone constitutes ca. 98% of the total cytoplasmic proteome, the ProteoMiner technology allowed the detection of > 1500 proteins in the remaining 2% low-abundance cytoplasmic proteome, most of them not previously reported even in the most advanced investigations. The merits and limits of ProteMiner are discussed and evaluated.