Application of plug–plug technique to ACE experiments for discovery of peptides binding to a larger target protein: A model study of calmodulin‐binding fragments selected from a digested mixture of reduced BSA

To discover peptide ligands that bind to a target protein with a higher molecular mass, a concise screening methodology has been established, by applying a “plug–plug” technique to ACE experiments. Exploratory experiments using three mixed peptides, mastoparan‐X, β‐endorphin, and oxytocin, as candidates for calmodulin‐binding ligands, revealed that the technique not only reduces the consumption of the protein sample, but also increases the flexibility of the experimental conditions, by allowing the use of MS detection in the ACE experiments. With the plug–plug technique, the ACE–MS screening methodology successfully selected calmodulin‐binding peptides from a random library with diverse constituents, such as protease digests of BSA. Three peptides with K_d values between 8–147 μM for calmodulin were obtained from a Glu‐C endoprotease digest of reduced BSA, although the digest showed more than 70 peaks in its ACE–MS electropherogram. The method established here will be quite useful for the screening of peptide ligands, which have only low affinities due to their flexible chain structures but could potentially provide primary information for designing inhibitors against the target protein.     

i-RUBY: a novel software for quantitative analysis of highly accurate shotgun-proteomics liquid chromatography/tandem mass spectrometry data obtained without stable-isotope labeling of proteins

We developed a novel software named i-RUBY (identification-Related qUantification-Based strategY algorithm for liquid chromatography/tandem mass spectrometry (LC/MS/MS) data) that enables us to perform fully automatic ion current-based spectral feature analysis of highly accurate data obtained by LC/MS/MS. At the 1st step, this software utilizes accurate peptide/protein identification information for peak detection and peak matching among measurements. Then, at the 2nd step, it picks yet unidentified peaks and matches them to the peaks identified at the 1st step by a linear interpolation algorithm. The analysis of human plasma externally spiked with a known amount of yeast alcohol dehydrogenase 1 showed a good linear relationship between the amount of protein spiked and the quantitative values obtained by i-RUBY analysis. Experiment using human plasma digests spiked with a mixture of known amounts of synthetic peptides derived from two yeast proteins, alcohol dehydrogenase 1 and glucose-6-phospate isomerase, showed the expansion by the 2nd step of i-RUBY of the lower quantification limits to 1/10 to 1/1000 of those reached only by identified peaks at the 1st step. Good correlations between the i-RUBY results and the amount of proteins were confirmed by the analysis of real samples, i.e., sera of normal subjects and cancer patients, by comparing quantitative values of acute-phase proteins obtained by i-RUBY analysis of LC/MS/MS data with those obtained by an immunological method using Bio-Plex. These results taken together show that i-RUBY is a useful tool for obtaining dependable quantitative information from highly accurate shotgun-proteomics LC/MS/MS data.     

Capillary zone electrophoresis tandem mass spectrometry detects low concentration host cell impurities in monoclonal antibodies

We have evaluated CZE‐ESI‐MS/MS for detection of trace amounts of host cell protein impurities in recombinant therapeutics. Compared to previously published procedures, we have optimized the buffer pH used in the formation of a pH junction to increase injection volume. We also prepared a 5‐point calibration curve by spiking 12 standard proteins into a solution of a human mAb. A custom CZE‐MS/MS system was used to analyze the tryptic digest of this mixture without depletion of the antibody. CZE generated a ～70‐min separation window (～90‐min total analysis duration) and ～300‐peak capacity. We also analyzed the sample using ultra‐performance LC‐MS/MS. CZE‐MS/MS generated approximately five times higher base peak intensity and more peptide identifications for low‐level spiked proteins. Both methods detected all proteins spiked at ～100 ppm level with respect to the antibody.     

Ambient DESI and LESA-MS Analysis of Proteins Adsorbed to a Biomaterial Surface Using In-Situ Surface Tryptic Digestion

The detection and identification of proteins adsorbed onto biomaterial surfaces under ambient conditions has significant experimental advantages but has proven to be difficult to achieve with conventional measuring technologies. In this study, we present an adaptation of desorption electrospray ionization (DESI) and liquid extraction surface analysis (LESA) mass spectrometry (MS) coupled with in-situ surface tryptic digestion to identify protein species from a biomaterial surface. Cytochrome c, myoglobin, and BSA in a combination of single and mixture spots were printed in an array format onto Permanox slides, followed by in-situ surface digestion and detection via MS. Automated tandem MS performed on surface peptides was able to identify the proteins via MASCOT. Limits of detection were determined for DESI-MS and a comparison of DESI and LESA-MS peptide spectra characteristics and sensitivity was made. DESI-MS images of the arrays were produced and analyzed with imaging multivariate analysis to automatically separate peptide peaks for each of the proteins within a mixture into distinct components. This is the first time that DESI and LESA-MS have been used for the in-situ detection of surface digested proteins on biomaterial surfaces and presents a promising proof of concept for the use of ambient MS in the rapid and automated analysis of surface proteins.

Bovine serum albumin as a universal suppressor of non-specific peptide binding in vials prior to nano-chromatography coupled mass-spectrometry analysis

Non-specific binding (NSB) is a well-known problem for any application that deals with ultralow analyte quantities. The modern nano-flow chromatography coupled tandem mass-spectrometry (nanoLC-MS/MS) works with the lowest conceivable analyte concentrations. However, while the NSB problem is widely accepted and investigated for metabolomics and single-peptide medicine-related assays, its impact is not studied for complex peptide mixtures in proteomic applications. In this work peptide NSB to a common plastic autosampler vial was studied for a model mixture of 46 synthetic peptides. A significant NSB level was demonstrated for total peptide concentrations of up to 1 mg mL⁻¹. Different agents were tried for NSB suppression and compatibility with nanoLC-MS/MS analysis: a chaotropic agent, an amino acid mixture, a peptide mixture and a protein solution. The first two were inefficacious. The peptide matrix blocked NSB, however, it also led to analyte ionization suppression in nanoLC-MS/MS. The protein solution (0.1% BSA) efficiently eliminated NSB, while a trap-elute nanoHPLC configuration together with a small-pore reverse-phased sorbent effectively and quantitatively extracted the model peptides and depleted protein material from the sample. Higher protein concentration partially impeded peptide extraction. Thus, the 0.1% BSA solution might be regarded as an effective non-interfering blockader of NSB for sample resuspension and storage in an autosampler prior to LC-MS/MS analysis.     

Data self-recalibration and mixture mass fingerprint searching (DASER-MMF) to enhance protein identification within complex mixtures

A novel algorithm based on Data Self-Recalibration and a subsequent Mixture Mass Fingerprint search (DASER-MMF) has been developed to improve the performance of protein identification from online 1D and 2D-LC-MS/MS experiments conducted on high-resolution mass spectrometers. Recalibration of 40% to 75% of the MS spectra in a human serum dataset is demonstrated with average errors of 0.3±0.3 ppm, regardless of the original calibration quality. With simple protein mixtures, the MMF search identifies new proteins not found in the MS/MS based search and increases the sequence coverage for identified proteins by six times. The high mass accuracy allows proteins to be identified with as little as three peptide mass hits. When applied to very complex samples, the MMF search shows less dramatic performance improvements. However, refinements such as additional discriminating factors utilized within the search space provide significant gains in protein identification ability and indicate that further enhancements are possible in this realm.     

Identification of proteins separated by one-dimensional sodium dodecyl sulfate/polyacrylamide gel electrophoresis with matrix-assisted laser desorption/ionization ion trap mass spectrometry; comparison with matrix-assisted laser desorption/ionization time-of-flight mass fingerprinting

Digests from ten gel bands containing low abundance proteins were analyzed by both matrix-assisted laser desorption/ionization ion trap (MALDI-IT) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) methods. MALDI-TOF techniques were able to identify only one protein from all 10 gel bands, while MALDI-IT identified eight proteins from the same 10 bands. The ability to perform MS/MS experiments with a MALDI-IT instrument leads to protein identifications based on both peptide molecular mass and sequence information, and is much less prone to errors and uncertainties introduced by peptide fingerprinting methodologies in which protein identification is based on peptide molecular masses alone.     

Evaluation of Normalization Methods on GeLC-MS/MS Label-Free Spectral Counting Data to Correct for Variation during Proteomic Workflows

Normalization of spectral counts (SpCs) in label-free shotgun proteomic approaches is important to achieve reliable relative quantification. Three different SpC normalization methods, total spectral count (TSpC) normalization, normalized spectral abundance factor (NSAF) normalization, and normalization to selected proteins (NSP) were evaluated based on their ability to correct for day-to-day variation between gel-based sample preparation and chromatographic performance. Three spectral counting data sets obtained from the same biological conidia sample of the rice blast fungus Magnaporthe oryzae were analyzed by 1D gel and liquid chromatography-tandem mass spectrometry (GeLC-MS/MS). Equine myoglobin and chicken ovalbumin were spiked into the protein extracts prior to 1D-SDS- PAGE as internal protein standards for NSP. The correlation between SpCs of the same proteins across the different data sets was investigated. We report that TSpC normalization and NSAF normalization yielded almost ideal slopes of unity for normalized SpC versus average normalized SpC plots, while NSP did not afford effective corrections of the unnormalized data. Furthermore, when utilizing TSpC normalization prior to relative protein quantification, t-testing and fold-change revealed the cutoff limits for determining real biological change to be a function of the absolute number of SpCs. For instance, we observed the variance decreased as the number of SpCs increased, which resulted in a higher propensity for detecting statistically significant, yet artificial, change for highly abundant proteins. Thus, we suggest applying higher confidence level and lower fold-change cutoffs for proteins with higher SpCs, rather than using a single criterion for the entire data set. By choosing appropriate cutoff values to maintain a constant false positive rate across different protein levels (i.e., SpC levels), it is expected this will reduce the overall false negative rate, particularly for proteins with higher SpCs.     

Plastic microchip liquid chromatography-matrix-assisted laser desorption/ionization mass spectrometry using monolithic columns

A prototype array of monolithic liquid chromatography (LC) columns was prepared in a plastic microfluidic device for the off-line interface with matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The microfluidic channels were fabricated on a cyclic olefin copolymer (COC) plate by hot embossing. An array of methacrylate monolithic columns was prepared in the microfluidic channels by UV-initiated polymerization. The deposition system employed a pulsed electric field to transfer the effluents from multiple columns directly onto MALDI targets with a non-contact deposition method reported by Ericson et al. [C. Ericson, Q.T. Phung, D.M. Horn, E.C. Peters, J.R. Fitchett, S.B. Ficarro, A.R. Salmon, L.M. Brill, A. Brock, Anal. Chem. 75 (2003) 2309]. To characterize the off-line interface of the multiple-channel microchip LC and the MALDI-MS for the analysis of peptide mixtures, the separation efficiency and reproducibility tests in each column were carried out by separating a peptide mixture from tryptic digested proteins and depositing the multiple effluents simultaneously on the MALDI target plate. Using a MALDI-TOF mass spectrometer with a mass accuracy of +/-1 Da for peptide assignments of digested bovine serum albumin (BSA), amino acid sequence coverage of around 59% was obtained for the microchip LC-MALDI-MS compared to 23% obtained by the MALDI-MS method without LC separation. In sensitivity tests for the detection of low abundance proteins in the presence of high concentration protein mixtures, as low as 10 fmol/mul (S/N = 10) of a spiked peptide in 1 microg of digested BSA could be detected. In the analysis of a mixture of three digested proteins (BSA, myoglobin, and cytochrome c), more than twice the amino acid sequence coverage was obtained for the microchip LC-MALDI-MS compared to MALDI-MS alone.     

Current perspectives and recommendations for the development of mass spectrometry methods for the determination of allergens in foods

Allergen detection and quantification is an essential part of allergen management as practiced by food manufacturers. Recently, protein MS methods (in particular, multiple reaction monitoring experiments) have begun to be adopted by the allergen detection community to provide an alternative technique to ELISA and PCR methods. MS analysis of proteins in foods provides additional challenges to the analyst, both in terms of experimental design and methodology: (1) choice of analyte, including multiplexing to simultaneously detect several biologically relevant molecules able to trigger allergic reactions; (2) choice of processing stable peptide markers for different target analytes that should be placed in publicly available databases; (3) markers allowing quantification (e.g., through standard addition or isotopically labeled peptide standards); (4) optimization of protease digestion protocols to ensure reproducible and robust method development; and (5) effective validation of methods and harmonization of results through the use of naturally incurred reference materials spanning several types of food matrix.     

The effect of Tween80 on signal intensity of intact proteins by MALDI time-of-flight mass spectrometry

Buffers and detergents are notorious for suppression of analyte signal in electrospray and MALDI mass spectrometry and, invariably, analysts will take steps to remove these contaminants before MS analysis. However, we have found serendipitously that protein signal with MALDI MS is improved by about an order of magnitude on the addition of small amounts of Tween80. Four charged states of BSA could easily be seen at less than 125 fmol/spot and with mixture of three proteins (BSA, trypsinogen, and protein A) the molecular ions could be detected on as little as 12.5 fmol of spotted material (per protein) using an automated laser firing sequence.     

Factors that affect ion trap data-dependent MS/MS in proteomics

Quadrupole ion trap scanning parameters for performing bottom-up proteomics in a data-dependent fashion were evaluated on a Finnigan LCQ Deca mass spectrometer. Evaluation of parameters such as the number of averaged full scans, the number of averaged MS/MS scans, and ion injection times were necessary for acquiring high quality MS/MS spectra that yield favorable b and y ion coverage and high correlation to proteins using database searching algorithms. In this study, we demonstrated how the duty cycle of the mass spectrometer affects the number of peptides that can be successfully identified by SEQUEST using a model system of tryptic BSA peptides to mimic a typical complex mixture associated with bottom-up proteomics. The number of averaged scans and the duration of ion accumulation in the trap had a significant effect on the quality of acquired MS/MS spectra. For example, by increasing the ion injection time from 500 ms to 600 ms, peptide HLVDEPQNLIK improved from being improperly identified to being correctly identified with a SEQUEST cross-correlation score of 3.60. As a result of these experiments, we have devised the following set of ion trap parameters for performing bottom-up proteomics analysis in our laboratory: Three averaged full scans, five averaged MS/MS scans, and a maximum ion injection time of 600 ms.     

Mapping low-resolution three-dimensional protein structures using chemical cross-linking and Fourier transform ion-cyclotron resonance mass spectrometry

Techniques in mass spectrometry (MS) combined with chemical cross-linking have proven to be efficient tools for the rapid determination of low-resolution three-dimensional (3-D) structures of proteins. The general procedure involves chemical cross-linking of a protein followed by enzymatic digestion and MS analysis of the resulting peptide mixture. These experiments are generally fast and do not require large quantities of protein. However, the large number of peptide species created from the digestion of cross-linked proteins makes it difficult to identify relevant intermolecular cross-linked peptides from MS data. We present a method for mapping low-resolution 3-D protein structures by combining chemical cross-linking with high-resolution FTICR (Fourier transform ion-cyclotron resonance) mass spectrometry using cytochrome c and hen egg lysozyme as model proteins. We applied several homo-bifunctional, amine-reactive cross-linking reagents that bridge distances from 6 to 16 A. The non-digested cross-linking reaction mixtures were monitored by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) to determine the extent of cross-linking. Enzymatically digested reaction mixtures were separated by nano-high-performance liquid chromatography (nano-HPLC) on reverse-phase columns applying water/acetonitrile gradients with flow rates of 200 nL/min. The nano-HPLC system was directly coupled to an FTICR mass spectrometer equipped with a nano-ESI (electrospray ionization) source. Cross-linking products were identified using a combination of the GPMAW software and ExPASy Proteomics tools. For correct assignment of the cross-linking products the key factor is to rely on a mass spectrometric method providing both high resolution and high mass accuracy, such as FTICRMS. By combining chemical cross-linking with FTICRMS we were able to rapidly define several intramolecular constraints for cytochrome c and lysozyme.     

Quantitative analysis of low-abundance serological proteins with peptide affinity-based enrichment and pseudo-multiple reaction monitoring by hybrid quadrupole time-of-flight mass spectrometry

Multiple reaction monitoring (MRM) is commonly used for the quantitative analysis of proteins during mass pectrometry (MS), and has excellent specificity and sensitivity for an analyte in a complex sample. In this study, a pseudo-MRM method for the quantitative analysis of low-abundance serological proteins was developed using hybrid quadrupole time-of-flight (hybrid Q-TOF) MS and peptide affinity-based enrichment. First, a pseudo-MRM-based analysis using hybrid Q-TOF MS was performed for synthetic peptides selected as targets and spiked into tryptic digests of human serum. By integrating multiple transition signals corresponding to fragment ions in the full scan MS/MS spectrum of a precursor ion of the target peptide, a pseudo-MRM MS analysis of the target peptide showed an increased signal-to-noise (S/N) ratio and sensitivity, as well as an improved reproducibility. The pseudo-MRM method was then used for the quantitative analysis of the tryptic peptides of two low-abundance serological proteins, tissue inhibitor of metalloproteinase 1 (TIMP1) and tissue-type protein tyrosine phosphatase kappa (PTPκ), which were prepared with peptide affinity-based enrichment from human serum. Finally, this method was used to detect femtomolar amounts of target peptides derived from TIMP1 and PTPκ, with good coefficients of variation (CV 2.7% and 9.8%, respectively), using a few microliters of human serum from colorectal cancer patients. The results suggest that pseudo-MRM using hybrid Q-TOF MS, combined with peptide affinity-based enrichment, could become a promising alternative for the quantitative analysis of low-abundance target proteins of interest in complex serum samples that avoids protein depletion.     

Feasibility of nonvolatile buffers in capillary electrophoresis-electrospray ionization-mass spectrometry of proteins

The combination of capillary electrophoresis (CE) and electrospray ionization-mass spectrometry (ESI-MS) via a triaxial interface was studied as a potential means for the characterization of intact proteins. To evaluate the possibility to use a nonvolatile electrolyte for CE, the effect of sodium phosphate and ammonium borate on the MS signal of the proteins insulin, myoglobin, and bovine serum albumin (BSA) was investigated by employing infusion experiments, and compared to the effect of ammonium formate and formic acid. The study shows that with formic acid (50 mM, pH 2.4) the most intense protein signals were obtained, while the use of sodium phosphate buffer (5 and 10 mM, pH 7.5) almost completely diminished the MS response. Ammonium formate and ammonium borate (up to 100 mM, pH 8.5) also caused protein ion suppression, but especially with the borate buffer significant MS intensity remained. MS analysis of myoglobin revealed the loss of the heme group when an acidic CE electrolyte was used. Using a background electrolyte containing 25 mM ammonium borate (pH 8.5), it is demonstrated that a CE separation of a protein test mixture can be monitored with ESI-MS without degrading the MS performance allowing molecular weight determinations of the separated compounds. In the presence of borate, detection limits were estimated to be 5-10 microM (ca. 100 fmol injected). The usefulness of the CE-MS system employing a borate buffer is indicated by the analysis of a stored sample of BSA revealing several degradation products. A sample of placental alkaline phosphatase (PLAP), a potential therapeutic agent, was also analyzed by CE-MS indicating the presence of a protein impurity. Probably due to insufficient ionization of the PLAP (a complex glycoprotein), no MS signals of the intact protein were observed.     

Simplification of complex peptide mixtures for proteomic analysis: reversible biotinylation of cysteinyl peptides

A rapid means of identifying many components in an enriched mixture of proteins is enzymatic digestion of the entire protein fraction. This complex peptide mixture is then subjected to reversed-phase high performance liquid chromatography (HPLC) coupled on-line with a mass spectrometer capable of data-dependent ion selection for fragmentation (LC-tandem mass spectrometry; MS/MS). Thus, as many peptides as possible in the sample are fragmented to produce MS/MS spectra, which can then be searched against sequence databases. Ideally, one peptide from each protein in the mixture would be fragmented and identified. To this end, we employed an affinity selection method to capture cysteinyl peptides and thereby simplify the mixture. Both the captured cysteinyl and the noncysteinyl peptides are analyzed by LC-MS/MS, to increase the number of proteins identified. The method was tested on a limited set of standard proteins and applied to the analysis of a protein fraction obtained from isolated mitochondria treated with atractyloside. To further increase the number of different precursor ions selected for fragmentation, dynamic exclusion and ion selection from multiple narrow mass ranges of consecutive runs were employed.     

Two‐step Immobilized Metal Affinity Chromatography (IMAC) for Phosphoproteomics Using Mass Spectrometry

In this study, a new strategy named two‐step IMAC is demonstrated as a novel prelude to MS analysis of phosphoproteome by increasing the enrichment factor of phosphoproteins/phosphopeptides from a protein mixture. In this method, the first IMAC was performed at the protein level to extract the minute amount of phosphoproteins present in the sample. During this step, nonphosphoproteins and other undesired chemicals or inhibitors were excluded. After tryptic digestion, the second IMAC was performed at the peptide level to enrich phosphopeptides present in the tryptic digest, and the eluent from the second IMAC was analyzed by MALDI‐MS. It is particularly noticeable that the eluent from the first IMAC can be directly digested by trypsin without buffer exchange. Our results revealed that β‐casein that was spiked in a protein mixture can be successfully extracted by the first IMAC at a concentration of less than 1–3%, and the two phosphopeptides of β‐casein with single and four phosphorylation sites, respectively, can be captured by the second IMAC. It was found that the two‐step IMAC method could significantly reduce non‐specific bindings from unwanted proteins and greatly enhance the MALDI‐MS signal of phosphopeptide ions compared to the typical one‐step IMAC, by which only IMAC at the peptide level was performed. Two‐step IMAC was also found to tolerate a greater amount and a greater concentration range of proteins than one‐step IMAC, which is especially important when analyzing complicated unknown samples. Furthermore, the MS signal of phosphopeptide ions did not appear to be degraded by the presence of biological matrixes, such as the cell lysate in which the β‐casein was spiked in.     

蛋白质酶解混合物的动态修饰毛细管电泳-质谱联用分析

利用羟丙基纤维素溶液动态涂层技术修饰毛细管管壁,改善了分离效率.在不影响质谱检测的条件下,将动态涂层毛细管电泳与质谱检测联用,有效地提高了对蛋白质的鉴定能力.将该技术应用于对复杂蛋白质样品的酶解产物的分析鉴定,结果令人满意.     

Trypsin immobilization in ordered porous polymer membranes for effective protein digestion

Fast and effective protein digestion is a vital process for mass spectrometry (MS) based protein analysis. This study introduces a porous polymer membrane enzyme reactor (PPMER) coupled to nanoflow liquid chromatography-tandem MS (nLC-ESI-MS/MS) for on-line digestion and analysis of proteins. Poly (styrene-co-maleic anhydride) (PS-co-MAn) was fabricated by the breath figure method to make a porous polymer membrane in which the MAn group was covalently bound to enzyme. Based on this strategy, microscale PPMER (μPPMER) was constructed for on-line connection with the nLC-ESI-MS/MS system. Its capability for enzymatic digestion with bovine serum albumin (BSA) was evaluated with varied digestion periods. The on-line proteolysis of BSA and subsequent analysis with μPPMER-nLC-ESI-MS/MS revealed that peptide sequence coverage increased from 10.3% (digestion time 10 min) to 89.1% (digestion time 30 min). μPPMER can efficiently digest proteins due to the microscopic confinement effect, showing its potential application in fast protein identification and protease immobilization. Applications of on-line digestion using μPPMER with human plasma and urinary proteome samples showed that the developed on-line method yielded equivalent or better performance in protein coverage and identified more membrane proteins than the in-solution method. This may be due to easy accommodation of hydrophobic membrane proteins within membrane pores.     

A label-free differential proteomic analysis of mouse bronchoalveolar lavage fluid exposed to ultrafine carbon black

Ultrafine carbon black (ufCB) is a potential hazard to the lung. It causes changes in protein expression and it increases alveolar-capillary permeability in the lung. Label-free quantitative proteomic methods allow a sensitive and accurate analytical method for identifying and quantifying proteins in a protein mixture without chemically modifying the proteins. We used a label-free quantitative proteomic approach that combined and aligned LC-MS and LC-MS/MS spectra to analyze mouse bronchoalveolar lavage fluid (BALF) protein changes associated with exposure to ufCB. We developed a simple normalization method for quantification without spiking the internal standard. The intensities of unchanged peptides were used as normalization factors based on a statistical method to avoid the influence of peptides changed because of ufCB. LC-MS/MS spectra and then database searching were used to identify proteins. The relative abundances of the aligned peptides of identified proteins were determined using LC-MS spectra. We identified 132 proteins, of which 77 are reported for the first time. In addition, the expression of 15 inflammatory proteins and surfactant-associated proteins was regulated (i.e., 7 upregulated and 8 downregulated) compared with the controls. Several proteins not previously reported provide complementary information on the proteins present in mouse BALF, and they are potential biomarkers for the understanding of mechanisms involved in ufCB-induced lung disorders hypothesize that using the label-free quantitative proteomic approach introduced here is well suited for more rigorous, large-scale quantitative analysis of biological samples. We hypothesize that this label-free quantitative proteomic approach will be suited for a large-scale quantitative analysis of biological samples.