Subcellular proteomics of cell differentiation: quantitative analysis of the plasma membrane proteome of Caco-2 cells

Human colorectal carcinoma (Caco-2) cells undergo in culture spontaneous enterocytic differentiation, characterized by polarization and appearance of the functional apical brush border membrane. To provide insights into the biology of differentiation, we have performed a comparative proteomic analysis of the plasma membranes from proliferating cells (PCs) and the apical membranes from differentiated cells (DCs). Proteins were resolved by SDS-PAGE, in-gel digested and analyzed by RP-LC and MS/MS. Alternatively, proteins were digested in solution, and tryptic peptides were labeled with isotopic tags and analyzed by 2-D LC followed by MS/MS. Among the 1125 proteins identified in both proteomes, 76 were found to be significantly increased in the membranes of DCs and 61 were increased in PCs. Majority of the proteins increased in the apical membranes were metabolic enzymes, proteins involved in the maintenance of cellular structure, transmembrane transporters, and proteins regulating vesicular transport. In contrast, majority of the proteins increased in the membranes of PCs were involved in gene expression, protein synthesis, and folding. Both groups contained many novel proteins with yet to be identified functions, which could provide potential new markers of the intestinal cells or of colorectal cancer.     

Towards a standardized human proteome database: quantitative proteome profiling of living cells

Comparative proteome profiling, performed by two-dimensional polyacrylamide gel electrophoresis or multidimensional protein identification technology, usually relies on the relative comparison of samples of interest with respect to a reference. Currently, no standardized quantitative protein expression database of human cells, facilitating data comparisons between different laboratories, exists. Recently, we have published two-dimensional polyacrylamide gel electrophoresis-based techniques to assess absolute protein data comprising protein amounts, synthesis rates and biological half-lives (Mol. Cell. Proteomics 2002, 1, 528-537). Determination of protein amounts by fluorography of two-dimensional gels was followed by the exact quantification of the amount of incorporated (35)S radiolabel. Here we demonstrate an application of this highly standardized method to quiescent human T cells, phythaemagglutinin-stimulated T cells and Jurkat cells, a human T lymphoblast cell line. While the protein composition of quiescent T cells differed significantly compared to that of Jurkat cells, it was only slightly different compared to the activated T cells. Synthesis profile analyses demonstrated that activated T cells clearly differed from the quiescent cells, performing apparently almost like lymphoblast cells. The great sensitivity of this approach was further demonstrated with human umbilical vein endothelial cells treated for six hours with vascular endothelial growth factor. While no significant alteration of protein amounts was detected at all upon activation, the synthesis rate of several proteins was found to be more than doubled.     

A proteome catalog of Drosophila melanogaster: an essential resource for targeted quantitative proteomics

Proteomic analyses are critically important for systems biology because important aspects related to the structure, function and control of biological systems are only amenable by direct protein measurements. It has become apparent that the current proteomics technologies are unlikely to allow routine, quantitative measurements of whole proteomes. We have therefore suggested and largely implemented a two-step strategy for quantitative proteome analysis. In a first step, the discovery phase, the proteome observable by mass spectrometry is extensively analyzed. The resulting proteome catalog can then be used to select peptides specific to only one protein, so-called proteotypic peptides (PTPs). It represents the basis to realize sensitive, robust and reproducible measurements based on targeted mass spectrometry of these PTPs in a subsequent scoring phase. In this Extra View we describe the need for such proteome catalogs and their multiple benefits for catalyzing the shift towards targeted quantitative proteomic analysis and beyond. We use the Insulin signaling cascade as a representative example to illustrate the limitations of currently used proteomics approaches for the specific analysis of individual pathway components, and describe how the recently published Drosophila proteome catalog already helped to overcome many of these limitations.     

The functional network of the Arabidopsis plastoglobule proteome based on quantitative proteomics and genome-wide coexpression analysis

Plastoglobules (PGs) in chloroplasts are thylakoid-associated monolayer lipoprotein particles containing prenyl and neutral lipids and several dozen proteins mostly with unknown functions. An integrated view of the role of the PG is lacking. Here, we better define the PG proteome and provide a conceptual framework for further studies. The PG proteome from Arabidopsis (Arabidopsis thaliana) leaf chloroplasts was determined by mass spectrometry of isolated PGs and quantitative comparison with the proteomes of unfractionated leaves, thylakoids, and stroma. Scanning electron microscopy showed the purity and size distribution of the isolated PGs. Compared with previous PG proteome analyses, we excluded several proteins and identified six new PG proteins, including an M48 metallopeptidase and two Absence of bc1 complex (ABC1) atypical kinases, confirmed by immunoblotting. This refined PG proteome consisted of 30 proteins, including six ABC1 kinases and seven fibrillins together comprising more than 70% of the PG protein mass. Other fibrillins were located predominantly in the stroma or thylakoid and not in PGs; we discovered that this partitioning can be predicted by their isoelectric point and hydrophobicity. A genome-wide coexpression network for the PG genes was then constructed from mRNA expression data. This revealed a modular network with four distinct modules that each contained at least one ABC1K and/or fibrillin gene. Each module showed clear enrichment in specific functions, including chlorophyll degradation/senescence, isoprenoid biosynthesis, plastid proteolysis, and redox regulators and phosphoregulators of electron flow. We propose a new testable model for the PGs, in which sets of genes are associated with specific PG functions.     

Characterization of the human myocardial proteome in inflammatory dilated cardiomyopathy by label-free quantitative shotgun proteomics of heart biopsies

Dilated cardiomyopathy (DCM) is characterized by contractile dysfunction leading to heart failure. The molecular changes in the human heart associated with this disease have so far mostly been addressed at the gene expression level and only a few studies have analyzed global changes in the myocardial proteome. Therefore, our objective was to investigate the changes in the proteome in patients suffering from inflammatory DCM (iDCM) and chronic viral infection by a comprehensive quantitative approach. Comparative proteomic profiling of endomyocardial biopsies (EMB) from 10 patients with iDCM (left ventricular ejection fraction <40%, symptoms of heart failure) as well as 7 controls with normal left ventricular function and histology was performed by label-free proteome analysis (LC-MS/MS). Mass spectrometric data were analyzed with the Rosetta Elucidator software package. The analysis covered a total of 485 proteins. Among the 174 proteins displaying at least a 1.3-fold change in intensity (p < 0.05), major changes were observed for mitochondrial and cytoskeletal proteins, but also metabolic pathways were affected in iDCM compared to controls. In iDCM patients, we observed decreased levels of mitochondrial proteins involved in oxidative phosphorylation and tricarboxylic acid cycle. Furthermore, deregulation of proteins of carbohydrate metabolism, the actin cytoskeleton, and extracellular matrix remodeling was observed. Proteomic observations were confirmed by gene expression data and immunohistochemistry (e.g. collagen I and VI). This study demonstrates that label-free, mass spectrometry-centered approaches can identify disease dependent alterations in the proteome from small tissue samples such as endomyocardial biopsies. Thus, this technique might allow better disease characterization and may be a valuable tool in potential clinical proteomic studies.     

Multidimensional proteome analysis of human mammary epithelial cells

Recent multidimensional liquid chromatography MS/MS studies have contributed to the identification of large numbers of expressed proteins for numerous species. The present study couples size exclusion chromatography of intact proteins with the separation of tryptically digested peptides using a combination of strong cation exchange and high resolution, reversed phase capillary chromatography to identify proteins extracted from human mammary epithelial cells (HMECs). In addition to conventional conservative criteria for protein identifications, the confidence levels were additionally increased through the use of peptide normalized elution times (NET) for the liquid chromatographic separation step. The combined approach resulted in a total of 5838 unique peptides identified covering 1574 different proteins with an estimated 4% gene coverage of the human genome, as annotated by the National Center for Biotechnology Information (NCBI). This database provides a baseline for comparison against variations in other genetically and environmentally perturbed systems. Proteins identified were categorized based upon intracellular location and biological process with the identification of numerous receptors, regulatory proteins, and extracellular proteins, demonstrating the usefulness of this application in the global analysis of human cells for future comparative studies.     

A quantitative analysis software tool for mass spectrometry-based proteomics

We describe Census, a quantitative software tool compatible with many labeling strategies as well as with label-free analyses, single-stage mass spectrometry (MS1) and tandem mass spectrometry (MS/MS) scans, and high- and low-resolution mass spectrometry data. Census uses robust algorithms to address poor-quality measurements and improve quantitative efficiency, and it can support several input file formats. We tested Census with stable-isotope labeling analyses as well as label-free analyses.     

Cytotoxic mechanisms of panduratin A on A375 melanoma cells: A quantitative and temporal proteomics analysis

Melanoma is a lethal form of skin cancer with rising global incidence. However, limited treatment options are available for advanced melanoma and this is further compounded by the development of resistance toward existing drugs. Panduratin A (PA), a cyclohexanyl chalcone found in Boesenbergia rotunda, was investigated for its cytotoxic potentials against human malignant melanoma A375 cells. Our initial findings revealed that mitochondrion is the primary acting site of PA on A375 cancer cells and the cytotoxic mechanisms of PA were further investigated using a temporal quantitative proteomics approach by iTRAQ 2D‐LC‐MS/MS. Comprehensive proteomics analysis identified 296 proteins that were significantly deregulated in PA‐treated A375 cells and revealed the involvement of mitochondrial oxidative phosphorylation, secretory and ER stress pathway, and apoptosis. We further confirmed that the PA‐induced apoptosis was mediated by prolonged ER stress at least in part via the PERK/eIF2α/ATF4/CHOP pathway. Pretreatment with cycloheximide, an ER stress inhibitor rescued PA‐induced cell death, which was accompanied by the suppression of ER‐stress‐related HSPA5 and CHOP proteins. The present study provides comprehensive mechanistic insights into the cytotoxic mechanisms of PA.     

Tissue-based quantitative proteome analysis of human hepatocellular carcinoma using tandem mass tags

Context and objective: Human hepatocellular carcinoma (HCC) is a severe malignant disease, and accurate and reliable diagnostic markers are still needed. This study was aimed for the discovery of novel marker candidates by quantitative proteomics.

Methods and results: Proteomic differences between HCC and nontumorous liver tissue were studied by mass spectrometry. Among several significantly upregulated proteins, translocator protein 18 (TSPO) and Ras-related protein Rab-1A (RAB1A) were selected for verification by immunohistochemistry in an independent cohort. For RAB1A, a high accuracy for the discrimination of HCC and nontumorous liver tissue was observed.

Conclusion: RAB1A was verified to be a potent biomarker candidate for HCC.     

SEMA3B-AS1-inhibited osteogenic differentiation of human mesenchymal stem cells revealed by quantitative proteomics analysis

Human mesenchymal stem cells (hMSCs) are fibroblastoid multipotent adult stem cells with capacities of differentiation into osteoblasts and chondrocytes and show great potential in new bone formation and bone repair-related clinical settings, such as osteoporosis. Long noncoding RNAs (lncRNAs) have been demonstrated to play important roles in various biological processes. Here, we report an antisense lncRNA SEMA3B-AS1 regulating hMSCs osteogenesis. SEMA3B-AS1 is proximal to a member of the semaphorin family Sema3b. Overexpression of SEMA3B-AS1 using the lentivirus system markedly inhibits the proliferation of hMSCs and meanwhile reduces osteogenic differentiation. Using a comprehensive proteomic technique named isobaric tag for relative and absolute quantitation, we found that SEMA3B-AS1 significantly alters the process of osteogenesis through downregulating the expression of proteins involved in actin cytoskeleton, focal adhesion, and extracellular matrix–receptor interaction, while increasing the expression of proteins in the spliceosome. Collectively, we find that SEMA3B-AS1 is a target for controlling osteogenesis of hMSCs.     

Urinary proteome alterations in HER2 enriched breast cancer revealed by multipronged quantitative proteomics

Globally, breast cancer is the second most common cancer among women. Although biomarker discoveries through various proteomic approaches of tissue and serum samples have been studied in breast cancer, urinary proteome alterations in breast cancer are least studied. Urine being a noninvasive biofluid and a significant source of proteins, it has the potential in early diagnosis of breast cancer. This study used complementary quantitative gel‐based and gel‐free proteomic approaches to find a panel of urinary protein markers that could discriminate HER2 enriched (HE) subtype breast cancer from the healthy controls. A total of 183 differentially expressed proteins were identified using three complementary approaches, namely 2D‐DIGE, iTRAQ, and sequential window acquisition of all theoretical mass spectra. The differentially expressed proteins were subjected to various bioinformatics analyses for deciphering the biological context of these proteins using protein analysis through evolutionary relationships, database for annotation, visualization and integrated discovery, and STRING. Multivariate statistical analysis was undertaken to identify the set of most significant proteins, which could discriminate HE breast cancer from healthy controls. Immunoblotting and MRM‐based validation in a separate cohort testified a panel of 21 proteins such as zinc‐alpha2‐glycoprotein, A2GL, retinol‐binding protein 4, annexin A1, SAP3, SRC8, gelsolin, kininogen 1, CO9, clusterin, ceruloplasmin, and α1‐antitrypsin could be a panel of candidate markers that could discriminate HE breast cancer from healthy controls.     

Latex beads internalization and quantitative proteomics join forces to decipher the endosomal proteome

The proteome analysis of endocytic compartments has been constrained by the limited purity of the organelle fractions obtained by current biochemical methods. Duclos and coworkers have developed a novel method to isolate highly purified endosomal organelles based on small latex beads internalization followed by gradient centrifugation and successfully combined it with a redundant peptide counting method to compare the relative abundance of proteins in organelles. The presence of bona fide markers in their respective subcellular organelles and the identification of several new endosomal-associated proteins, attested the applicability of their combinatory approach. Future applications of this strategy may deliver a comprehensive endosomal proteome chart: from the identification of the key players to the determination of time and signaling-dependent proteome changes. As a long-term perspective, such an approach may unveil new clues to the molecular mechanisms underlining human diseases associated with endosomal biogenesis defects.     

Measuring gene expression by quantitative proteome analysis

Proteome analysis is most commonly accomplished by the combination of two-dimensional gel electrophoresis for protein separation, visualization, and quantification and mass spectrometry for protein identification. Over the past year, exceptional progress has been made towards developing a new technology base for the precise quantification and identification of proteins in complex mixtures, that is, quantitative proteomics.     

Extent of modifications in human proteome samples and their effect on dynamic range of analysis in shotgun proteomics

The complexity of the human proteome, already enormous at the organism level, increases further in the course of the proteome analysis due to in vitro sample evolution. Most of in vitro alterations can also occur in vivo as post-translational modifications. These two types of modifications can only be distinguished a posteriori but not in the process of analysis, thus rendering necessary the analysis of every molecule in the sample. With the new software tool ModifiComb applied to MS/MS data, the extent of modifications was measured in tryptic mixtures representing the full proteome of human cells. The estimated level of 8-12 modified peptides per each unmodified tryptic peptide present at >or=1% level is approaching one modification per amino acid on average. This is a higher modification rate than was previously thought, posing an additional challenge to analytical techniques. The solution to the problem is seen in improving sample preparation routines, introducing dynamic range-adjusted thresholds for database searches, using more specific MS/MS analysis using high mass accuracy and complementary fragmentation techniques, and revealing peptide families with identification of additional proteins only by unfamiliar peptides. Extensive protein separation prior to analysis reduces the requirements on speed and dynamic range of a tandem mass spectrometer and can be a viable alternative to the shotgun approach.