Accurate Protein Complex Retrieval by Affinity Enrichment Mass Spectrometry (AE-MS) Rather than Affinity Purification Mass Spectrometry (AP-MS)

Protein–protein interactions are fundamental to the understanding of biological processes. Affinity purification coupled to mass spectrometry (AP-MS) is one of the most promising methods for their investigation. Previously, complexes were purified as much as possible, frequently followed by identification of individual gel bands. However, todays mass spectrometers are highly sensitive, and powerful quantitative proteomics strategies are available to distinguish true interactors from background binders. Here we describe a high performance affinity enrichment-mass spectrometry method for investigating protein–protein interactions, in which no attempt at purifying complexes to homogeneity is made. Instead, we developed analysis methods that take advantage of specific enrichment of interactors in the context of a large amount of unspecific background binders. We perform single-step affinity enrichment of endogenously expressed GFP-tagged proteins and their interactors in budding yeast, followed by single-run, intensity-based label-free quantitative LC-MS/MS analysis. Each pull-down contains around 2000 background binders, which are reinterpreted from troubling contaminants to crucial elements in a novel data analysis strategy. First the background serves for accurate normalization. Second, interacting proteins are not identified by comparison to a single untagged control strain, but instead to the other tagged strains. Third, potential interactors are further validated by their intensity profiles across all samples. We demonstrate the power of our AE-MS method using several well-known and challenging yeast complexes of various abundances. AE-MS is not only highly efficient and robust, but also cost effective, broadly applicable, and can be performed in any laboratory with access to high-resolution mass spectrometers.Protein–protein interactions are key to protein-mediated biological processes and influence all aspects of life. Therefore, considerable efforts have been dedicated to the mapping of protein–protein interactions. A classical experimental approach consists of co-immunoprecipitation of protein complexes combined with SDS-PAGE followed by Western blotting to identify complex members. More recently, high-throughput techniques have been introduced; among these affinity purification-mass spectrometry (AP-MS)¹ (1–3) and the yeast two-hybrid (Y2H) approach (4–6) are the most prominent. AP-MS, in particular, has great potential for detecting functional interactions under near-physiological conditions, and has already been employed for interactome mapping in several organisms (7–15). Various AP-MS approaches have evolved over time, that differ in expression, tagging, and affinity purification of the bait protein; fractionation, LC-MS measurement, and quantification of the sample; and in data analysis. Recent progress in the AP-MS field has been driven by two factors: A new generation of mass spectrometers (16) providing higher sequencing speed, sensitivity, and mass accuracy, and the development of quantitative MS strategies.In the early days of AP-MS, tagged bait proteins were mostly overexpressed, enhancing their recovery in the pull-down. However, overexpression comes at the cost of obscuring the true situation in the cell, potentially leading to the detection of false interactions (17). Today, increased MS instrument power helps in the detection of bait proteins and interactors expressed at endogenous levels, augmenting the chances to detect functional interactions. In some simple organisms like yeast, genes of interest can directly be tagged in their genetic loci and expressed under their native promoter. In higher organisms, tagging proteins in their endogenous locus is more challenging, but also for mammalian cells, methods for close to endogenous expression are available. For instance, in controlled inducible expression systems, the concentration of the tagged bait protein can be titrated to close to endogenous levels (18). A very powerful approach is BAC transgenomics (19), as used in our QUBIC protocol (20), where a bacterial artificial chromosome (BAC) containing a tagged version of the gene of interest including all regulatory sequences and the natural promoter is stably transfected into a host cell line.The affinity purification step has also been subject to substantial changes over time. Previously, AP has been combined with nonquantitative MS as the readout, meaning all proteins identified by MS were considered potential interactors. Therefore, to reduce co-purifying “contaminants,” stringent two-step AP protocols using dual affinity tags like the TAP-tag (21) had to be employed. However, such stringent and multistep protocols can result in the loss of weak or transient interactors (3), whereas laborious and partially subjective filtering still has to be applied to clean up the list of identified proteins. The introduction of quantitative mass spectrometry (22–25) to the interactomics field about ten years ago was a paradigm shift, as it offered a proper way of dealing with unspecific binding and true interactors could be directly distinguished from background binders (26, 27). Importantly, quantification enables the detection of true interactors even under low-stringent conditions (28). In turn, this allowed the return to single-step AP protocols, which are milder and faster, and hence more suitable for detecting weak and transient interactors.Despite these advances, nonquantitative methods—often in combination with the TAP-tagging approach—are still popular and widely used, presumably because of reagent expenses and labeling protocols used in label-based approaches. However, there are ways to determine relative protein abundances in a label-free format. A simple, semiquantitative label-free way to estimate protein abundance is spectral counting (29). Another relative label-free quantification strategy is based on peptide intensities (30). In recent years high resolution MS has become much more widely accessible and there has been great progress in intensity-based label-free quantification (LFQ) approaches. Together with development of sophisticated LFQ algorithms, this has boosted obtainable accuracy. Intensity-based LFQ now offers a viable and cost-effective alternative to label-based methods in most applications (31). The potential of intensity-based LFQ approaches as tools for investigating protein–protein interactions has already been demonstrated by us (20, 32, 33) and others (34, 35). We have further refined intensity-based LFQ in the context of the MaxQuant framework (36) using sophisticated normalization algorithms, achieving excellent accuracy and robustness of the measured “MaxLFQ” intensities (37).Another important advance in AP-MS, again enabled by increased MS instrument power, was the development of single-shot LC-MS methods with comprehensive coverage. Instead of extensive fractionation, which was previously needed to reduce sample complexity, nowadays even entire model proteomes can be measured in single LC-MS runs (38). The protein mixture resulting from pull-downs is naturally of lower complexity compared with the entire proteome. Therefore, modern MS obviates the need for gel-based (or other) fractionation and samples can be analyzed in single runs. Apart from avoiding selection of gel bands by visual examination, this has many advantages, including decreased sample preparation and measurement time, increased sensitivity, and higher quantitative accuracy in a label-free format.In this work, we build on many of the recent advances in the field to establish a state of the art LFQ AE-MS method. Based on our previous QUBIC pipeline (20), we developed an approach for investigating protein–protein interactions, which we exemplify in Saccharomyces cerevisiae. We extended the data analysis pipeline to extract the wealth of information contained in the LFQ data, by establishing a novel concept that specifically makes use of the signature of background binders instead of eliminating them from the data set. The large amount of unspecific binders detected in our experiments rendered the use of a classic untagged control strain unnecessary and enabled comparing to a control group consisting of many unrelated pull-downs instead. Our protocol is generic, practical, and fast, uses low input amounts, and identifies interactors with high confidence. We propose that single-step pull-down experiments, especially when coupled to high-sensitivity MS, should now be regarded as affinity enrichment rather than affinity purification methods.     

用亲和纯化方法筛选与gankyrin相互作用的蛋白质

目的：作为一个新发现的癌蛋白,gankyrin在肝癌细胞的发生和形成中发挥重要作用。筛选与gankyrin相互作用的蛋白质,从而进一步探讨gankyrin的作用机制。方法：采用亲和纯化技术及质谱鉴定筛选与gankyrin相互作用的蛋白质。结果：初步筛选出了6个与gankyrin发生相互作用的蛋白质,经与MSDB或NCBInr数据库比对,这6个蛋白质均是26S蛋白酶体的组成部分,其中proteasome（prosome,macropain）26S subunit,ATPase,4为已报道的蛋白质,证实结果的可靠性。结论：采用亲和纯化的方法可以有效地筛选出与gankyrin相互作用的蛋白质,为进一步研究gankyrin的作用机制及生物学功能奠定了基础。     

小鼠晶体蛋白质组的双向电泳和质谱鉴定研究

目的应用双向电泳和质谱技术研究5周龄小鼠晶体蛋白质组。方法提取小鼠晶体总蛋白,进行固相pH梯度（IPG）等电聚焦双向电泳,胶体考马斯亮蓝R-250染色,使用PDQuest7．30图像分析软件分析电泳图像。选择主要蛋白点胶上酶解,应用基质辅助激光解析电离飞行时间／飞行时间（MALDI—TOF／TOF）仪器进行串联质谱（MS／MS）鉴定。结果上样量为882μg和190μg时,分别检测370±41蛋白点（n=3）和57±5个蛋白点（n=3）。高上样量能够较好地分离晶体低丰度蛋白,如念珠状纤维结构蛋白BFSP;低上样量可很好地分离高丰度蛋白-晶体蛋白（包括αA、αB;βA1～βA4;βB1～βB3;γA～γF和γS等）。质谱鉴定得到1种细胞骨架蛋白和16种高丰度晶体蛋白。结论双向电泳和质谱技术有效考察了晶体总蛋白质,为分析白内障形成过程中蛋白质的表达改变提供了新的方法和途径。     

Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry

Since most cellular processes are mediated by macromolecular assemblies, the systematic identification of protein-protein interactions (PPI) and the identification of the subunit composition of multi-protein complexes can provide insight into gene function and enhance understanding of biological systems^{1, 2}. Physical interactions can be mapped with high confidence vialarge-scale isolation and characterization of endogenous protein complexes under near-physiological conditions based on affinity purification of chromosomally-tagged proteins in combination with mass spectrometry (APMS). This approach has been successfully applied in evolutionarily diverse organisms, including yeast, flies, worms, mammalian cells, and bacteria^1-6. In particular, we have generated a carboxy-terminal Sequential Peptide Affinity (SPA) dual tagging system for affinity-purifying native protein complexes from cultured gram-negative Escherichia coli, using genetically-tractable host laboratory strains that are well-suited for genome-wide investigations of the fundamental biology and conserved processes of prokaryotes^{1, 2, 7}. Our SPA-tagging system is analogous to the tandem affinity purification method developed originally for yeast^{8, 9}, and consists of a calmodulin binding peptide (CBP) followed by the cleavage site for the highly specific tobacco etch virus (TEV) protease and three copies of the FLAG epitope (3X FLAG), allowing for two consecutive rounds of affinity enrichment. After cassette amplification, sequence-specific linear PCR products encoding the SPA-tag and a selectable marker are integrated and expressed in frame as carboxy-terminal fusions in a DY330 background that is induced to transiently express a highly efficient heterologous bacteriophage lambda recombination system¹⁰. Subsequent dual-step purification using calmodulin and anti-FLAG affinity beads enables the highly selective and efficient recovery of even low abundance protein complexes from large-scale cultures. Tandem mass spectrometry is then used to identify the stably co-purifying proteins with high sensitivity (low nanogram detection limits).Here, we describe detailed step-by-step procedures we commonly use for systematic protein tagging, purification and mass spectrometry-based analysis of soluble protein complexes from E. coli, which can be scaled up and potentially tailored to other bacterial species, including certain opportunistic pathogens that are amenable to recombineering. The resulting physical interactions can often reveal interesting unexpected components and connections suggesting novel mechanistic links. Integration of the PPI data with alternate molecular association data such as genetic (gene-gene) interactions and genomic-context (GC) predictions can facilitate elucidation of the global molecular organization of multi-protein complexes within biological pathways. The networks generated for E. coli can be used to gain insight into the functional architecture of orthologous gene products in other microbes for which functional annotations are currently lacking.     

Nucleic Acids in Protein Samples Interfere with Phosphopeptide Identification by Immobilized-Metal-Ion Affinity Chromatography and Mass Spectrometry

Immobilized-metal-ion affinity chromatography (IMAC) is used extensively for phosphopeptide enrichment in phosphoproteomics. However, the effect of nucleic acids in protein samples on phosphopeptide enrichment by IMAC has not yet been well clarified. In this study, we demonstrate that IMAC beads possess a strong adsorption of nucleic acids, especially single-stranded or single-stranded-region-containing nucleic acids, leading to approximately 50% loss of phosphopeptides during the process of IMAC enrichment. Therefore, nucleic acids must be removed from protein samples prior to IMAC. Acetonitrile (ACN) precipitation, a simple and efficient procedure, was established to remove nucleic acids from the protein samples. We showed that ACN precipitation approximately doubled the phosphopeptide number identified by IMAC and mass spectrometry, indicating that nucleic acid removal significantly improves the identification of phosphopeptides. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Distinguishing Small Molecular Mass Differences of Proteins by Mass Spectrometry

Electrospray ionization–Fourier transform ion cyclotron resonance (ESI–FTICR) mass spectrometryallows for high-resolution, accurate mass analysisof multiply charged ions of proteins. In the workdescribed here, the ability of ESI–FTICR to distinguish small differences in molecular mass is evaluated. Ubiquitin was used as an internal mass calibration standard to measure the molecular mass of cytochromec, myoglobin, and several carbonic anhydrase isoforms. Mass calibration was based onthe tallest isotopic peak of each ubiquitin chargestate. Ubiquitin performed well as an internal standard because its charge states covered the appropriate mass range, interference was minimal, and thetallest peak was easily identified. The peak massesof cytochrome c (12.5 kDa) and myoglobin (17 kDa) were measured to an accuracy of about 0.02 Da (<2ppm). However, errors of 1.0 Da were observedfor some individual determinations because of the difficulty in identifying the tallest peak. When the technique was applied to bovine carbonic anhydrase II, even combining data from several charge statesdid not yield an unequivocal assignment of thetallest peak, resulting in a mass assignment of 29,023.7 or 29,024.7. Similarly, measurements of two isoforms with a mass difference of 1 Da, human carbonic anhydrase I, pI6.0 and 6.6, yielded overlapping values for the mass of the tallest peak. However, these two isoforms were clearly distinguished by (a) identification of the tallest peak using a measurement of average mass as a guide and (b) comparison of the isotopic peak intensity patterns.     

Effective Identification of Akt Interacting Proteins by Two-Step Chemical Crosslinking,Co-Immunoprecipitation and Mass Spectrometry

Akt is a critical protein for cell survival and known to interact with various proteins. However, Akt binding partners that modulate or regulate Akt activation have not been fully elucidated. Identification of Akt-interacting proteins has been customarily achieved by co-immunoprecipitation combined with western blot and/or MS analysis. An intrinsic problem of the method is loss of interacting proteins during procedures to remove non-specific proteins. Moreover, antibody contamination often interferes with the detection of less abundant proteins. Here, we developed a novel two-step chemical crosslinking strategy to overcome these problems which resulted in a dramatic improvement in identifying Akt interacting partners. Akt antibody was first immobilized on protein A/G beads using disuccinimidyl suberate and allowed to bind to cellular Akt along with its interacting proteins. Subsequently, dithiobis[succinimidylpropionate], a cleavable crosslinker, was introduced to produce stable complexes between Akt and binding partners prior to the SDS-PAGE and nanoLC-MS/MS analysis. This approach enabled identification of ten Akt partners from cell lysates containing as low as 1.5 mg proteins, including two new potential Akt interacting partners. None of these but one protein was detectable without crosslinking procedures. The present method provides a sensitive and effective tool to probe Akt-interacting proteins. This strategy should also prove useful for other protein interactions, particularly those involving less abundant or weakly associating partners.     

Identification and Monitoring of Host Cell Proteins by Mass Spectrometry Combined with High Performance Immunochemistry Testing

Biotherapeutics are often produced in non-human host cells like Escherichia coli, yeast, and various mammalian cell lines. A major focus of any therapeutic protein purification process is to reduce host cell proteins to an acceptable low level. In this study, various E. coli host cell proteins were identified at different purifications steps by HPLC fractionation, SDS-PAGE analysis, and tryptic peptide mapping combined with online liquid chromatography mass spectrometry (LC-MS). However, no host cell proteins could be verified by direct LC-MS analysis of final drug substance material. In contrast, the application of affinity enrichment chromatography prior to comprehensive LC-MS was adequate to identify several low abundant host cell proteins at the final drug substance level. Bacterial alkaline phosphatase (BAP) was identified as being the most abundant host cell protein at several purification steps. Thus, we firstly established two different assays for enzymatic and immunological BAP monitoring using the cobas® technology. By using this strategy we were able to demonstrate an almost complete removal of BAP enzymatic activity by the established therapeutic protein purification process. In summary, the impact of fermentation, purification, and formulation conditions on host cell protein removal and biological activity can be conducted by monitoring process-specific host cell proteins in a GMP-compatible and high-throughput (> 1000 samples/day) manner.     

Rapid Identification of Probiotic Lactobacillus Biosurfactant Proteins by ProteinChip Tandem Mass Spectrometry Tryptic Peptide Sequencing

A novel ProteinChip-interfaced tandem mass spectrometer was employed to identify collagen binding proteins from biosurfactant produced by Lactobacillus fermentum RC-14. On-chip tryptic digestion of the captured collagen binding proteins resulted in rapid sequence identification of five novel tryptic peptide sequences via collision-induced dissociation tandem mass spectrometry.     

Identification and Quantification of Proteoforms by Mass Spectrometry

A proteoform is a defined form of a protein derived from a given gene with a specific amino acid sequence and localized post‐translational modifications. In top‐down proteomic analyses, proteoforms are identified and quantified through mass spectrometric analysis of intact proteins. Recent technological developments have enabled comprehensive proteoform analyses in complex samples, and an increasing number of laboratories are adopting top‐down proteomic workflows. In this review, some recent advances are outlined and current challenges and future directions for the field are discussed.     

Relative Abundance of Integral Plasma Membrane Proteins in Arabidopsis Leaf and Root Tissue Determined by Metabolic Labeling and Mass Spectrometry

Metabolic labeling of proteins with a stable isotope (¹⁵N) in intact Arabidopsis plants was used for accurate determination by mass spectrometry of differences in protein abundance between plasma membranes isolated from leaves and roots. In total, 703 proteins were identified, of which 188 were predicted to be integral membrane proteins. Major classes were transporters, receptors, proteins involved in membrane trafficking and cell wall-related proteins. Forty-one of the integral proteins, including nine of the 13 isoforms of the PIP (plasma membrane intrinsic protein) aquaporin subfamily, could be identified by peptides unique to these proteins, which made it possible to determine their relative abundance in leaf and root tissue. In addition, peptides shared between isoforms gave information on the proportions of these isoforms. A comparison between our data for protein levels and corresponding data for mRNA levels in the widely used database Genevestigator showed an agreement for only about two thirds of the proteins. By contrast, localization data available in the literature for 21 of the 41 proteins show a much better agreement with our data, in particular data based on immunostaining of proteins and GUS-staining of promoter activity. Thus, although mRNA levels may provide a useful approximation for protein levels, detection and quantification of isoform-specific peptides by proteomics should generate the most reliable data for the proteome.     

重组蛋白质亲和标签的选择与串联亲和纯化的应用进展

重组蛋白质技术作为蛋白质研究的重要手段之一,在生物化学与生物物理学研究领域,扮演着极其重要的角色.亲和纯化作为最为方便与快捷的重组蛋白质纯化手段,日益得到广泛的应用.由于各种亲和标签,纯化介质层出不穷,性质各异.应根据自身研究对象具体情况选择合适的亲和纯化标签.近年双亲和标签进行串联亲和纯化日益成为蛋白质相互作用研究的重要方法.多种亲和标签的搭配已得到成功应用,部分已进入商业化,并在各种模式生物中得到广泛的应用,本文就重组蛋白质亲和标签的选择与串联亲和纯化作一综述.     

Detection of Differentially Expressed Basal Cell Proteins by Mass Spectrometry

The ability of cells to modulate interactions with each other and the substrate is essential for epithelial tissue remodeling during processes such as wound healing and tumor progression. However, despite strides made in the field of proteomics, proteins involved in adhesion have been difficult to study. Here, we report a method for the enrichment and analysis of proteins associated with the basal surface of the cell and its underlying matrix. The enrichment involves deroofing the cells with 20 mm ammonium hydroxide and the removal of cytosolic and organellar proteins by stringent water wash. Proteomic profiling was achieved by LC-FTMS, which allowed comparison of differentially expressed or shared proteins under different cell states. First, we analyzed and compared the basal cell components of mouse keratinocytes lacking the cell-cell junction molecule plakoglobin with their control counterparts. Changes in the molecules involved in motility and invasion were detected in plakoglobin-deficient cells, including decreased detection of fibronectin, integrin β₄, and FAT tumor suppressor. Second, we assessed the differences in basal cell components between two human oral squamous cell carcinoma lines originating from different sites in the oral cavity (CAL33 and UM-SCC-1). The data show differences between the two lines in the type and abundance of proteins specific to cell adhesion, migration, and angiogenesis. Therefore, the method described here has the potential to serve as a platform to assess proteomic changes in basal cell components including extracellular and adhesion-specific proteins involved in wound healing, cancer, and chronic and acquired adhesion-related disorders.There is an urgent need for tools to comprehensively identify markers of normal and pathological processes at the molecular level. DNA microarrays have enabled researchers to follow gene expression changes with respect to many of these processes, including individual tumors in the case of cancer (1). Direct detection of proteins is typically required to validate changes at the gene product level; however, the changes in protein levels do not always reflect changes in gene expression because of post-translational modifications, differential compartmentalization, recycling, and degradation. Because it is ultimately the proteins that convey cellular phenotypes, it is necessary to develop methods for direct screening of proteins, and mass spectrometry shows promise for this purpose. However, the usefulness of mass spectrometry as an analytical tool to detect proteins in cells or tissue is limited to the extent to which the sample is sufficiently enriched for the specific fraction of interest. It is still challenging to identify molecules involved in specific normal or pathological processes because the relevant proteins are often difficult to isolate from the majority of cellular proteins that are not correlated to the process of interest. In this context, an ideal proteomics approach would require a minimal amount of starting material, be amenable to an efficient enrichment strategy, and would provide results quickly.It has been well established that molecules directly involved in cell-cell and cell-substrate adhesions are critical for processes such as epithelial to mesenchymal transition and wound healing. Their further role in regulation of tissue integrity, cell polarity, motility, and invasion is emphasized by a variety of disorders stemming from their inappropriate expression and mutations (2, 3). Selectins, intercellular adhesion molecule 1, and vascular cell adhesion molecule 1 have been established both as biomarkers (4) and predictive factors (5, 6) for the development of accelerated atherosclerosis and heart disease. In epithelial tissues, reduced expression of the cell-cell adhesion molecule E-cadherin correlates with epithelial to mesenchymal transition, tissue invasion, and metastasis and is a prognostic biomarker of poor clinical outcome in many cell types (7–9). Furthermore, up-regulating E-cadherin is considered as a treatment option in several types of cancer (10). Therefore, methods are also needed to not only identify adhesion molecules as disease markers but to also understand the pathology of underlying medical problems caused by impairment in adhesion molecule function (e.g. inability to heal chronic wounds (11)). However, the lack of knowledge about regulation and functional interactions of the specific adhesion-related proteins has so far thwarted the attempts at direct targeting of these molecules in basic and clinical research (12, 13). Therefore, a comprehensive understanding of how proteins that function in adhesive processes work together to maintain proper tissue form and function is critical.Some of the same barriers to effective application of mass spectrometry as an analytical tool (as discussed above) have impeded analysis of cell-cell and cell-matrix adhesion-dependent processes such as wound healing and cancer (14). The study of extracellular matrix (ECM)1 and adhesion-related proteins is further complicated by the difficulty in sample preparation because compared with cytosolic proteins basal cell proteins are often highly insoluble (e.g. transmembrane and plaque components) and difficult to isolate from intracellular proteins. One general strategy involves using ECM-specific enzymes to dislodge the cells at their points of attachment (15). The supernatant from the partial digest is collected for further proteomics analysis. However, most mass spectrometric analyses depend on detection of peptides with specific ionization and fragmentation properties that are most readily achieved using trypsin as the sole enzyme. The use of ECM-specific enzymes may result in a distribution of peptides that are not optimal for detection (i.e. the generation of non-tryptic termini). The other general approach to isolate components of the ECM involves using detergents to lyse cells on the surfaces to which they are attached and collect the remaining cell debris for analysis (15). Although progress has been made with respect to the creation of “mass spectrometry-friendly” detergents (16), the use of chemicals for the purpose of protein solubilization is generally not ideal. To overcome these problems, we adapted a fast, simple method of isolating extracellular, transmembrane, and associated proteins (from here on collectively referred to as “basal cell proteins”) from cells attached to a solid substrate. The method consists of “deroofing” the cells attached to glass coverslips by 20 mm NH₄OH solution followed by rapid water rinses to remove the bulk of the cell and its remaining debris (17). Our results show efficient removal of cytoplasm and organelles and detection of basal cell proteins by mass spectrometry, including those involved in cell-cell and cell-extracellular matrix interactions. These proteins were liberated from the surface with trypsin, and the subsequently generated peptides were detected and profiled for differences using LC-FTMS.The approach was first validated by comparing basal cell protein composition in mouse keratinocytes with or without a critical cell-cell junction protein called plakoglobin (PG). This desmosomal protein is required for cell-cell adhesion and maintenance of tissue integrity (18). Plakoglobin inhibits keratinocyte motility (19) and is down-regulated in several distinct tumor types, including bladder, breast, and cervical cancers (20–22). Moreover, we were able to dissect the molecular differences between an independent isolate of PG^−/− keratinocytes that behaved differently in motility assays from the rest of the PG-null cells, further emphasizing the potential for using the method to differentiate between cells with distinct adhesive and motile behaviors. The method was then evaluated in clinically relevant human tumor cell lines by extending the analysis to include two human oral squamous cancers of different origin. Because they lack precisely defined changes in cell adhesion molecules and phenotype, we compared the basal cell protein expression of UM-SCC-1 (23) and CAL33 (24) cell lines isolated from the roof of the mouth and tongue, respectively. These experiments revealed 40 proteins differentially expressed between the cell lines among over 100 detected. Moreover, the proteomic profile reveals a set of motility- and invasion-related genes unique to tongue-derived CAL33 cells. This could indicate the difference between oral cancers derived from different parts of the mouth, or it may indicate a potential difference in aggressiveness between these cell lines. These results show that our detection method is applicable for both detection and comparative studies in human cancer model systems.     

Mass Spectrometry Imaging and Identification of Peptides Associated with Cephalic Ganglia Regeneration in Schmidtea mediterranea

Tissue regeneration is a complex process that involves a mosaic of molecules that vary spatially and temporally. Insights into the chemical signaling underlying this process can be achieved with a multiplex and untargeted chemical imaging method such as mass spectrometry imaging (MSI), which can enable de novo studies of nervous system regeneration. A combination of MSI and multivariate statistics was used to differentiate peptide dynamics in the freshwater planarian flatworm Schmidtea mediterranea at different time points during cephalic ganglia regeneration. A protocol was developed to make S. mediterranea tissues amenable for MSI. MS ion images of planarian tissue sections allow changes in peptides and unknown compounds to be followed as a function of cephalic ganglia regeneration. In conjunction with fluorescence imaging, our results suggest that even though the cephalic ganglia structure is visible after 6 days of regeneration, the original chemical composition of these regenerated structures is regained only after 12 days. Differences were observed in many peptides, such as those derived from secreted peptide 4 and EYE53-1. Peptidomic analysis further identified multiple peptides from various known prohormones, histone proteins, and DNA- and RNA-binding proteins as being associated with the regeneration process. Mass spectrometry data also facilitated the identification of a new prohormone, which we have named secreted peptide prohormone 20 (SPP-20), and is up-regulated during regeneration in planarians.