2-DE proteome analysis of a proliferating and differentiating human neuronal stem cell line (ReNcell VM)

The proteome of a proliferating human stem cell line was analyzed and then utilized to detect stem cell differentiation-associated changes in the protein profile. The analysis was conducted with a stable human fetal midbrain stem cell line (ReNcell VM) that displays the properties of a neural stem cell. Therefore, acquisition of proteomic data should be representative of cultured human neural stem cells (hNSCs) in general. Here we present a 2-DE protein-map of this cell line with annotations of 402 spots representing 318 unique proteins identified by MS. The subsequent proteome profiling of differentiating cells of this stem cell line at days 0, 4 and 7 of differentiation revealed changes in the expression of 49 identified spots that could be annotated to 45 distinct proteins. This differentiation-associated expression pattern was validated by Western blot analysis for transgelin-2, proliferating cell nuclear antigen, as well as peroxiredoxin 1 and 4. The group of regulated proteins also included NudC, ubiquilin-1, STRAP, stress-70 protein, creatine kinase B, glial fibrillary acidic protein and vimentin. Our results reflect the large rearrangement of the proteome during the differentiation process of the stem cells to terminally differentiated neurons and offer the possibility for further characterization of specific targets driving the stem cell differentiation.     

Preliminary 2-D chromatographic investigation of the human stem cell proteome

Stem cells represent a promising tool for the treatment of various hematopoietic diseases. In order to identify stem cell-specific proteins, the proteome of human stem cells from umbilical cord blood was explored for the first time. For this purpose, the crude lysate of 4 x 10(5) CD34+ cells was subjected to in solution trypsin digestion. The resulting peptides were then separated via cation exchange followed by reversed phase chromatography and analyzed by nanospray MS/MS. Database search revealed a total of 215 proteins which could be reliably identified. To obtain a more complete picture of the human stell cell proteome and to also access low abundant proteins, pooling of more than one CD34+ preparations seems necessary in order to increase the cell number and thus the protein content.     

Proteomic dataset of Sca-1+ progenitor cells

Embryonic stem cells (ES cells) can differentiate into endothelial cells and smooth muscle cells (SMCs), which participate in vascular angiogenesis. In this study, we differentiated mouse ES cells into Sca-1(+) cells, which have the potential to serve as vascular progenitor cells, and mapped their proteome by 2-DE using a pH 3-10 non-linear gradient and 12% SDS-polyacrylamide gels. A subset of 300 protein spots was analysed and mapped, with 241 protein spots being identified by their PMF using MALDI-TOF MS or by partial amino acid sequencing using MS/MS. Our protein map is the first of Sca-1(+) progenitor cells and will facilitate the identification of proteins differentially expressed during stem cell differentiation. The proteome of adult arterial SMCs is described in an accompanying paper (in this issue, DOI 10.1002/pmic.200402045). All data are made accessible on our website http://www.vascular-proteomics.com.     

Top-down label-free LC-MALDI analysis of the peptidome during neural progenitor cell differentiation reveals complexity in cytoskeletal protein dynamics and identifies progenitor cell markers

In the field of stem cell research, there is a strong requirement for the discovery of new biomarkers that more accurately define stem and progenitor cell populations, as well as their differentiated derivatives. The very-low-molecular-weight (<5?kDa) proteome/peptidome remains a poorly investigated but potentially rich source of cellular biomarkers. Here we describe a label-free LC-MALDI-TOF/TOF quantification approach to screen the very-low-molecular-weight proteome, i.e. the peptidome, of neural progenitor cells and derivative populations to identify potential neural stem/progenitor cell biomarkers. Twelve different proteins were identified on the basis of MS/MS analysis of peptides, which displayed differential abundance between undifferentiated and differentiated cultures. These proteins included major cytoskeletal components such as nestin, vimentin, and glial fibrillary acidic protein, which are all associated with neural development. Other cytoskeletal proteins identified were dihydropyrimidinase-related protein 2, prothymosin (thymosin α-1), and thymosin β-10. These findings highlight novel stem cell/progenitor cell marker candidates and demonstrate proteomic complexity, which underlies the limitations of major intermediate filament proteins long established as neural markers.     

Mapping the testicular interstitial fluid proteome from normal rats

Communication between the testicular somatic (Sertoli, Leydig, peritubular myoid, macrophage) and germ cell types is essential for sperm production (spermatogenesis), but the communicating factors are poorly understood. We reasoned that identification of proteins in the testicular interstitial fluid (TIF) that bathes these cells could provide a new means to explore spermatogenic function. The aim of this study was to map the proteome of TIF from normal adult rats. Low‐abundance proteins in TIF were enriched using ProteoMiner beads and identified by MALDI‐MS/MS, recognizing 276 proteins. Comparison with proteomic and genomic databases showed these proteins originated from germ cells, somatic cells (Sertoli, peritubular myoid, Leydig), and blood plasma. In silico analysis revealed homologues of >80% TIF proteins in the human plasma proteome, suggesting ready exchange between these fluids. Only 36% of TIF proteins were common with seminiferous tubule fluid that transports mature spermatids to the epididymis, indicating these two fluids are quite different. This TIF proteome provides an important new resource for the study of intercellular communication in the testis.     

The vegetative vacuole proteome of Arabidopsis thaliana reveals predicted and unexpected proteins

Vacuoles play central roles in plant growth, development, and stress responses. To better understand vacuole function and biogenesis we have characterized the vegetative vacuolar proteome from Arabidopsis thaliana. Vacuoles were isolated from protoplasts derived from rosette leaf tissue. Total purified vacuolar proteins were then subjected either to multidimensional liquid chromatography/tandem mass spectrometry or to one-dimensional SDS-PAGE coupled with nano-liquid chromatography/tandem mass spectrometry (nano-LC MS/MS). To ensure maximum coverage of the proteome, a tonoplast-enriched fraction was also analyzed separately by one-dimensional SDS-PAGE followed by nano-LC MS/MS. Cumulatively, 402 proteins were identified. The sensitivity of our analyses is indicated by the high coverage of membrane proteins. Eleven of the twelve known vacuolar-ATPase subunits were identified. Here, we present evidence of four tonoplast-localized soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs), representing each of the four groups of SNARE proteins necessary for membrane fusion. In addition, potential cargo of the N- and C-terminal propeptide sorting pathways, association of the vacuole with the cytoskeleton, and the vacuolar localization of 89 proteins of unknown function are identified. A detailed analysis of these proteins and their roles in vacuole function and biogenesis is presented.     

The proteome of the human neuroblastoma cell line SH-SY5Y: an enlarged proteome

The human neuroblastoma cell line SH-SY5Y (ATCC: CRL-2266) is widely used as a neural cellular model system. The hitherto existing proteome data (115 proteins) are here extended. A total of 1103 unique proteins of this cell line were identified using 2D-LC combined with MALDI-TOF/TOF-MS, SDS-PAGE with nano-LC-MS/MS, N-terminal COFRADIC analysis with nano-LC-MS/MS and 2D-PAGE with MALDI-TOF/TOF-MS peptide mass fingerprinting. The obtained proteome profile of this cell line is discussed.     

Analysis of the human serum proteome

Changes in serum proteins that signal histopathological states, such as cancer, are useful diagnostic and prognostic biomarkers. Unfortunately, the large dynamic concentration range of proteins in serum makes it a challenging proteome to effectively characterize. Typically, methods to deplete highly abundant proteins to decrease this dynamic protein concentration range are employed, yet such depletion results in removal of important low abundant proteins. A multi-dimensional peptide separation strategy utilizing conventional separation techniques combined with tandem mass spectrometry (MS/MS) was employed for a proteome analysis of human serum. Serum proteins were digested with trypsin and resolved into 20 fractions by ampholyte-free liquid phase isoelectric focusing. These 20 peptide fractions were further fractionated by strong cation-exchange chromatography, each of which was analyzed by microcapillary reversed-phase liquid chromatography coupled online with MS/MS analysis. This investigation resulted in the identification of 1444 unique proteins in serum. Proteins from all functional classes, cellular localization, and abundance levels were identified. This study illustrates that a majority of lower abundance proteins identified in serum are present as secreted or shed species by cells as a result of signalling, necrosis, apoptosis, and hemolysis. These findings show that the protein content of serum is quite reflective of the overall profile of the human organism and a conventional multidimensional fractionation strategy combined with MS/MS is entirely capable of characterizing a significant fraction of the serum proteome. We have constructed a publicly available human serum proteomic database (http://bpp.nci.nih.gov) to provide a reference resource to facilitate future investigations of the vast archive of pathophysiological content in serum. These authors contributed equally to this work.     

Lessons from the stem cell proteome

The proteome of a cell is a molecular fingerprint directly relating to the gene expression snapshot profile at a certain point of time or developmental stage. Monitoring the expansion and the differentiation state of stem cells by proteomic means seems therefore a very attractive method for diagnostic as well as for therapeutic purposes. We have investigated the protein expression patterns of umbilical cord blood-derived CD34+/AC133+ cells in order to obtain a most comprehensive view of the stem cell proteome. For this purpose, we have applied 2-D gel electrophoresis and 2-D chromatography for most efficient protein/peptide separation and characterisation. The proteins were identified after tryptic digestion by nano-HPLC coupled directly to an ion trap mass spectrometer. An extensive bioinformatic analysis of the protein obtained revealed a dynamic stem cell proteome. This means that the heterogeneity of protein expression patterns obtained from different stem cell preparations refers to a limited set of stem cell-specific house keeping proteins as well as to a large number of proteins which depend on (marginal) stimuli from the environment. Since those are difficult to standardise, snapshot views of the stem cell proteome reflect not only stem cell-intrinsic metabolism but also the strong influence of the sample history on protein expression patterns.     

A comprehensive map of the human urinary proteome

The study of the human urinary proteome has the potential to offer significant insights into normal physiology as well as disease pathology. The information obtained from such studies could be applied to the diagnosis of various diseases. The high sensitivity, resolution, and mass accuracy of the latest generation of mass spectrometers provides an opportunity to accurately catalog the proteins present in human urine, including those present at low levels. To this end, we carried out a comprehensive analysis of human urinary proteome from healthy individuals using high-resolution Fourier transform mass spectrometry. Importantly, we used the Orbitrap for detecting ions in both MS (resolution 60 000) and MS/MS (resolution 15 000) modes. To increase the depth of our analysis, we characterized both unfractionated as well as lectin-enriched proteins in our experiments. In all, we identified 1,823 proteins with less than 1% false discovery rate, of which 671 proteins have not previously been reported as constituents of human urine. This data set should serve as a comprehensive reference list for future studies aimed at identification and characterization of urinary biomarkers for various diseases.     

Improved proteome coverage by using high efficiency cysteinyl peptide enrichment: the human mammary epithelial cell proteome

Automated multidimensional capillary liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been increasingly applied in various large scale proteome profiling efforts. However, comprehensive global proteome analysis remains technically challenging due to issues associated with sample complexity and dynamic range of protein abundances, which is particularly apparent in mammalian biological systems. We report here the application of a high efficiency cysteinyl peptide enrichment (CPE) approach to the global proteome analysis of human mammary epithelial cells (HMECs) which significantly improved both sequence coverage of protein identifications and the overall proteome coverage. The cysteinyl peptides were specifically enriched by using a thiol-specific covalent resin, fractionated by strong cation exchange chromatography, and subsequently analyzed by reversed-phase capillary LC-MS/MS. An HMEC tryptic digest without CPE was also fractionated and analyzed under the same conditions for comparison. The combined analyses of HMEC tryptic digests with and without CPE resulted in a total of 14 416 confidently identified peptides covering 4294 different proteins with an estimated 10% gene coverage of the human genome. By using the high efficiency CPE, an additional 1096 relatively low abundance proteins were identified, resulting in 34.3% increase in proteome coverage; 1390 proteins were observed with increased sequence coverage. Comparative protein distribution analyses revealed that the CPE method is not biased with regard to protein M(r) , pI, cellular location, or biological functions. These results demonstrate that the use of the CPE approach provides improved efficiency in comprehensive proteome-wide analyses of highly complex mammalian biological systems.     

Analysis of human liver proteome using replicate shotgun strategy

In this study, a liquid-based shotgun strategy was used to comprehensively identify the expression of human liver proteome. Proteins were extracted from human liver tissue and digested in-solution. The tryptic digest mixture was desalted and separated by off-line strong cation exchange (SCX) chromatography with a 60-min elution. The MS/MS spectra were acquired in data-dependent mode after an RP chromatographic separation combined with linear IT MS analysis. To obtain the most comprehensive human liver proteome, each SCX fraction was run six times in RPLC MS/MS manner. Finally, more than 6,000,000 MS/MS spectra were collected. Using a relatively strict filter criteria, 24,311 proteins (48.42% of the predicted human proteome from human International Protein Index (IPI) protein database 3.07) corresponding to 13,150 nonredundant proteins were successfully identified, in which 7001 proteins (53.24%) were identified by two or more peptides, which could be considered as a high-confident dataset. Among the 6149 proteins (46.76%) identified by single peptide, 3812 proteins (61.99%) were detected more than twice in six repeated runs. Comparative analysis between different runs shows that the overlap of identified proteins between any two runs ranged from 25 to 44%. Of the nonredundant proteins identified, 8919 proteins (67.83%) were detected more than twice and 4231 proteins (32.17%) were detected only once in six RPLC MS/MS runs. The Gene Ontology annotation shows that the identified proteins come from various subcellular components. In addition, a large number of low abundant proteins were identified. The dynamic range of the approach reached at least nine orders of magnitude by estimating the concentration of proteins.     

Quantitative analysis of cellular proteome alterations in human influenza A virus‐infected mammalian cell lines

Over the last years virus–host cell interactions were investigated in numerous studies. Viral strategies for evasion of innate immune response, inhibition of cellular protein synthesis and permission of viral RNA and protein production were disclosed. With quantitative proteome technology, comprehensive studies concerning the impact of viruses on the cellular machinery of their host cells at protein level are possible. Therefore, 2‐D DIGE and nanoHPLC‐nanoESI‐MS/MS analysis were used to qualitatively and quantitatively determine the dynamic cellular proteome responses of two mammalian cell lines to human influenza A virus infection. A cell line used for vaccine production (MDCK) was compared with a human lung carcinoma cell line (A549) as a reference model. Analyzing 2‐D gels of the proteomes of uninfected and influenza‐infected host cells, 16 quantitatively altered protein spots (at least ±1.7‐fold change in relative abundance, p<0.001) were identified for both cell lines. Most significant changes were found for keratins, major components of the cytoskeleton system, and for Mx proteins, interferon‐induced key components of the host cell defense. Time series analysis of infection processes allowed the identification of further proteins that are described to be involved in protein synthesis, signal transduction and apoptosis events. Most likely, these proteins are required for supporting functions during influenza viral life cycle or host cell stress response. Quantitative proteome‐wide profiling of virus infection can provide insights into complexity and dynamics of virus–host cell interactions and may accelerate antiviral research and support optimization of vaccine manufacturing processes.     

Strategic proteome analysis of Candida magnoliae with an unsequenced genome

Erythritol is a noncariogenic, low calorie sweetener. It is safe for people with diabetes and obese people. Candida magnoliae is an industrially important organism because of its ability to produce erythritol as a major product. The genome of C. magnoliae has not been sequenced yet, limiting the available proteome database. Therefore, systematic approaches were employed to construct the proteome map of C. magnoliae. Proteomic analysis with systematic approaches is based on two-dimensional electrophoresis, matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS), tandem mass spectrometry (MS/MS) and database interrogation. First, 24 spots were analyzed using peptide mass fingerprinting along with MALDI-TOF MS with high mass accuracy. Only four spots were reliably identified as carbonyl reductase and its isoforms. The reason for low sequence coverage seemed to be that these identification strategies were based on the presence of the protein database obtained from the publicly accessible genome database and the availability of cross-species protein identification. MS/MS (MS/MS ion search and de novo sequencing) in combination with similarity searches allowed successful identification of 39 spots. Several proteins including transaldolase identified by MS/MS ion searches were further confirmed by partial sequences from the expressed sequence tag database. In this study, 51 protein spots were analyzed and then potentially identified. The identified proteins were involved in glycolysis, stress response, other essential metabolisms and cell structures.     

The cell surface proteome of human mesenchymal stromal cells

Background

Multipotent human mesenchymal stromal cells (hMSCs) are considered as promising biological tools for regenerative medicine. Their antibody-based isolation relies on the identification of reliable cell surface markers.

Methodology/Principal Findings

To obtain a comprehensive view of the cell surface proteome of bone marrow-derived hMSCs, we have developed an analytical pipeline relying on cell surface biotinylation of intact cells using cell impermeable, cleavable sulfo-NHS-SS-biotin to enrich the plasma membrane proteins and mass spectrometry for identification with extremely high confidence. Among the 888 proteins identified, we found ≈200 bona fide plasma membrane proteins including 33 cell adhesion molecules and 26 signaling receptors. In total 41 CD markers including 5 novel ones (CD97, CD112, CD239, CD276, and CD316) were identified. The CD markers are distributed homogenously within plastic-adherent hMSC populations and their expression is modulated during the process of adipogenesis or osteogenesis. Moreover, our in silico analysis revealed a significant difference between the cell surface proteome of hMSCs and that of human embryonic stem cells reported previously.

Conclusions/Significance

Collectively, our analytical methods not only provide a basis for further studies of mechanisms maintaining the multipotency of hMSCs within their niches and triggering their differentiation after signaling, but also a toolbox for a refined antibody-based identification of hMSC populations from different tissues and their isolation for therapeutic intervention.