Inactivation of the Schizophrenia-associated BRD1 gene in Brain Causes Failure-to-thrive, Seizure Susceptibility and Abnormal Histone H3 Acetylation and N-tail Clipping.

Genetic studies have repeatedly shown that the Bromodomain containing 1 gene, BRD1, is involved in determining mental health, and the importance of the BRD1 protein for normal brain function has been studied in both cell models and constitutive haploinsufficient Brd1+/- mice. Homozygosity for inactivated Brd1 alleles is lethal during embryonic development in mice. In order to further characterize the molecular functions of BRD1 in the brain, we have developed a novel Brd1 knockout mouse model (Brd1-/-) with bi-allelic conditional inactivation of Brd1 in the central nervous system. Brd1-/- mice were viable but smaller and with reduced muscle strength. They showed reduced exploratory behavior and increased sensitivity to pentylenetetrazole-induced seizures supporting the previously described GABAergic dysfunction in constitutive Brd1+/- mice. Because BRD1 takes part in protein complexes with histone binding and modifying functions, we investigated the effect of BRD1 depletion on the global histone modification pattern in mouse brain by mass spectrometry. We found decreased levels of histone H3 acetylation (H3K9ac, H3K14ac, and H3K18ac) and increased N-tail clipping in consequence of BRD1 depletion. Collectively, the presented results support that BRD1 controls gene expression at the epigenetic level by regulating histone H3 proteoforms in the brain.

White adipose remodeling during browning in mice involves YBX1 to drive thermogenic commitment.

OBJECTIVE: Increasing adaptive thermogenesis by stimulating browning in white adipose tissue is a promising method of improving metabolic health. However, the molecular mechanisms underlying this transition remain elusive. Our study examined the molecular determinants driving the differentiation of precursor cells into thermogenic adipocytes. METHODS: In this study, we conducted temporal high-resolution proteomic analysis of subcutaneous white adipose tissue (scWAT) after cold exposure in mice. This was followed by loss- and gain-of-function experiments using siRNA-mediated knockdown and CRISPRa-mediated induction of gene expression, respectively, to evaluate the function of the transcriptional regulator Y box-binding protein 1 (YBX1) during adipogenesis of brown pre-adipocytes and mesenchymal stem cells. Transcriptomic analysis of mesenchymal stem cells following induction of endogenous Ybx1 expression was conducted to elucidate transcriptomic events controlled by YBX1 during adipogenesis. RESULTS: Our proteomics analysis uncovered 509 proteins differentially regulated by cold in a time-dependent manner. Overall, 44 transcriptional regulators were acutely upregulated following cold exposure, among which included the cold-shock domain containing protein YBX1, peaking after 24 h. Cold-induced upregulation of YBX1 also occurred in brown adipose tissue, but not in visceral white adipose tissue, suggesting a role of YBX1 in thermogenesis. This role was confirmed by Ybx1 knockdown in brown and brite preadipocytes, which significantly impaired their thermogenic potential. Conversely, inducing Ybx1 expression in mesenchymal stem cells during adipogenesis promoted browning concurrent with an increased expression of thermogenic markers and enhanced mitochondrial respiration. At a molecular level, our transcriptomic analysis showed that YBX1 regulates a subset of genes, including the histone H3K9 demethylase Jmjd1c, to promote thermogenic adipocyte differentiation. CONCLUSION: Our study mapped the dynamic proteomic changes of murine scWAT during browning and identified YBX1 as a novel factor coordinating the genomic mechanisms by which preadipocytes commit to brite/beige lineage.

Selective Enrichment of Phosphorylated Peptides by Monolithic Polymers Surface Imprinted with bis-Imidazolium Moieties by UV-Initiated Cryopolymerization.

Reversible protein phosphorylation on serine, threonine, and tyrosine residues is essential for fast, specific, and accurate signal transduction in cells. Up to now, the identification and quantification of phosphorylated amino acids, peptides, and proteins continue to be one of the significant challenges in contemporary bioanalytical research. In this paper, a series of surface grafted monoliths in the capillary format targeting phosphorylated serine has been prepared by first synthesizing a monolithic core substrate material based on trimethylolpropane trimethacrylate, onto which a thin surface-imprinted layer was established by oriented photografting of a variety of mono- and bis-imidazolium host monomers at subzero temperature, using six different continuous or pulsed UV light sources. The imprinted monolith capillaries were evaluated in a capillary liquid chromatographic system connected to a mass spectrometer in order to test the specific retention of phosphorylated peptides. Site-specific recognition selectivity and specificity for phosphorylated serine was demonstrated when separating amino acids and peptides, proving that the optimized materials could be used as novel trapping media in affinity-based phosphoproteomic analysis.

Evaluation of sample preparation methods for mass spectrometry-based proteomic analysis of barley leaves.

BACKGROUND: Sample preparation is a critical process for proteomic studies. Many efficient and reproducible sample preparation methods have been developed for mass spectrometry-based proteomic analysis of human and animal tissues or cells, but no attempt has been made to evaluate these protocols for plants. We here present an LC-MS/MS-based proteomics study of barley leaf aimed at optimization of methods to achieve efficient and unbiased trypsin digestion of proteins prior to LC-MS/MS based sequencing and quantification of peptides. We evaluated two spin filter-aided sample preparation protocols using either sodium dodecyl-sulphate or sodium deoxycholate (SDC), and three in-solution digestion (ISD) protocols using SDC or trichloroacetic acid/acetone precipitation. RESULTS: The proteomics workflow identified and quantified up to 1800 barley proteins based on sequencing of up to 6900 peptides per sample. The two spin filter-based protocols provided a 12-38% higher efficiency than the ISD protocols, including more proteins of low abundance. Among the ISD protocols, a simple one-step reduction and S-alkylation method (OP-ISD) was the most efficient for barley leaf sample preparation; it identified and quantified 1500 proteins and displayed higher peptide-to-protein inference ratio and higher average amino acid sequence coverage of proteins. The two spin filter-aided sample preparation protocols are compatible with TMT labelling for quantitative proteomics studies. They exhibited complementary performance as about 30% of the proteins were identified by either one or the other protocol, but also demonstrated a positive bias for membrane proteins when using SDC as detergent. CONCLUSIONS: We provide detailed protocols for efficient plant protein sample preparation for LC-MS/MS-based proteomics studies. Spin filter-based protocols are the most efficient for the preparation of leaf samples for MS-based proteomics. However, a simple protocol provides comparable results although with different peptide digestion profile.

Modulation of cell metabolic pathways and oxidative stress signaling contribute to acquired melphalan resistance in multiple myeloma cells.

Alkylating agents are widely used chemotherapeutics in the treatment of many cancers, including leukemia, lymphoma, multiple myeloma, sarcoma, lung, breast and ovarian cancer. Melphalan is the most commonly used chemotherapeutic agent against multiple myeloma. However, despite a 70-80% initial response rate, virtually all patients eventually relapse due to the emergence of drug-resistant tumour cells. By using global proteomic and transcriptomic profiling on melphalan sensitive and resistant RPMI8226 cell lines followed by functional assays, we discovered changes in cellular processes and pathways not previously associated with melphalan resistance in multiple myeloma cells, including a metabolic switch conforming to the Warburg effect (aerobic glycolysis), and an elevated oxidative stress response mediated by VEGF/IL8-signaling. In addition, up-regulated aldo-keto reductase levels of the AKR1C family involved in prostaglandin synthesis contribute to the resistant phenotype. Finally, selected metabolic and oxidative stress response enzymes were targeted by inhibitors, several of which displayed a selective cytotoxicity against the melphalan-resistant cells and should be further explored to elucidate their potential to overcome melphalan resistance.

Insulin increases phosphorylation of mitochondrial proteins in human skeletal muscle in vivo.

There is increasing evidence that multiple proteins involved in key regulatory processes in mitochondria are phosphorylated in mammalian tissues. Insulin regulates glucose metabolism by phosphorylation-dependent signaling and has been shown to stimulate ATP synthesis in human skeletal muscle. Here, we investigated the effect of insulin on the phosphorylation of mitochondrial proteins in human skeletal muscle in vivo. Using a combination of TiO(2) phosphopeptide-enrichment, HILIC fractionation, and LC-MS/MS, we compared the phosphoproteomes of isolated mitochondria from skeletal muscle samples obtained from healthy individuals before and after 4 h of insulin infusion. In total, we identified 207 phosphorylation sites in 95 mitochondrial proteins. Of these phosphorylation sites, 45% were identified in both basal and insulin-stimulated samples. Insulin caused a 2-fold increase in the number of different mitochondrial phosphopeptides (87 ± 7 vs 40 ± 7, p = 0.015) and phosphoproteins (46 ± 2 vs 26 ± 3, p = 0.005) identified in each mitochondrial preparation. Almost half of the mitochondrial phosphorylation sites (n = 94) were exclusively identified in the insulin-stimulated state and included the majority of novel sites. Phosphorylation sites detected more often or exclusively in insulin-stimulated samples include multiple sites in mitochondrial proteins involved in oxidative phosphorylation, tricarboxylic acid cycle, and fatty acid metabolism, as well as several components of the newly defined mitochondrial inner membrane organizing system (MINOS). In conclusion, the present study demonstrates that insulin increases the phosphorylation of several mitochondrial proteins in human skeletal muscle in vivo and provides a first step in the understanding of how insulin potentially regulates mitochondrial processes by phosphorylation-dependent mechanisms.

Proteomic comparison between maturation drying and prematurely imposed drying of Zea mays seeds reveals a potential role of maturation drying in preparing proteins for seed germination, seedling vigor, and pathogen resistance.

We have studied the role(s) of maturation drying in the acquisition of germinability, seedling vigor and pathogen resistance by comparing the proteome changes in maize embryo and endosperm during mature and prematurely imposed drying. Prematurely imposed dried seeds at 40 days after pollination (DAP) germinated almost as well as mature seeds (at 65 DAP), but their seedling growth was slower and they were seriously infected by fungi. A total of 80 and 114 proteins were identified to change at least two-fold (p < 0.05) in abundance during maturation drying in embryo and endosperm, respectively. Fewer proteins (48 and 59 in embryo and endosperm, respectively) changed in abundance during prematurely imposed drying. A number of proteins, 33 and 38 in embryo and endosperm, respectively, changed similarly in abundance during both maturation and prematurely imposed drying. Storage proteins were abundant in this group and may contribute to the acquisition of seed germinability. However, a relatively large number of proteins changed in the embryo (47 spots) and endosperm (76 spots) specifically during maturation drying. Among these proteins, storage proteins in the embryo and defense proteins in the endosperm may be particularly important for seedling vigor and resistance to fungal infection, respectively.

New insights in osteogenic differentiation revealed by mass spectrometric assessment of phosphorylated substrates in murine skin mesenchymal cells.

BACKGROUND: Bone fractures and loss represent significant costs for the public health system and often affect the patients quality of life, therefore, understanding the molecular basis for bone regeneration is essential. Cytokines, such as IL-6, IL-10 and TNFα, secreted by inflammatory cells at the lesion site, at the very beginning of the repair process, act as chemotactic factors for mesenchymal stem cells, which proliferate and differentiate into osteoblasts through the autocrine and paracrine action of bone morphogenetic proteins (BMPs), mainly BMP-2. Although it is known that BMP-2 binds to ActRI/BMPR and activates the SMAD 1/5/8 downstream effectors, little is known about the intracellular mechanisms participating in osteoblastic differentiation. We assessed differences in the phosphorylation status of different cellular proteins upon BMP-2 osteogenic induction of isolated murine skin mesenchymal stem cells using Triplex Stable Isotope Dimethyl Labeling coupled with LC/MS. RESULTS: From 150 µg of starting material, 2,264 proteins were identified and quantified at five different time points, 235 of which are differentially phosphorylated. Kinase motif analysis showed that several substrates display phosphorylation sites for Casein Kinase, p38, CDK and JNK. Gene ontology analysis showed an increase in biological processes related with signaling and differentiation at early time points after BMP2 induction. Moreover, proteins involved in cytoskeleton rearrangement, Wnt and Ras pathways were found to be differentially phosphorylated during all timepoints studied. CONCLUSIONS: Taken together, these data, allow new insights on the intracellular substrates which are phosphorylated early on during differentiation to BMP2-driven osteoblastic differentiation of skin-derived mesenchymal stem cells.

A computational model for histone mark propagation reproduces the distribution of heterochromatin in different human cell types.

Chromatin is a highly compact and dynamic nuclear structure that consists of DNA and associated proteins. The main organizational unit is the nucleosome, which consists of a histone octamer with DNA wrapped around it. Histone proteins are implicated in the regulation of eukaryote genes and they carry numerous reversible post-translational modifications that control DNA-protein interactions and the recruitment of chromatin binding proteins. Heterochromatin, the transcriptionally inactive part of the genome, is densely packed and contains histone H3 that is methylated at Lys 9 (H3K9me). The propagation of H3K9me in nucleosomes along the DNA in chromatin is antagonizing by methylation of H3 Lysine 4 (H3K4me) and acetylations of several lysines, which is related to euchromatin and active genes. We show that the related histone modifications form antagonized domains on a coarse scale. These histone marks are assumed to be initiated within distinct nucleation sites in the DNA and to propagate bi-directionally. We propose a simple computer model that simulates the distribution of heterochromatin in human chromosomes. The simulations are in agreement with previously reported experimental observations from two different human cell lines. We reproduced different types of barriers between heterochromatin and euchromatin providing a unified model for their function. The effect of changes in the nucleation site distribution and of propagation rates were studied. The former occurs mainly with the aim of (de-)activation of single genes or gene groups and the latter has the power of controlling the transcriptional programs of entire chromosomes. Generally, the regulatory program of gene transcription is controlled by the distribution of nucleation sites along the DNA string.

Tissue specific phosphorylation of mitochondrial proteins isolated from rat liver, heart muscle, and skeletal muscle.

Phosphorylation of mitochondrial proteins in a variety of biological processes is increasingly being recognized and may contribute to the differences in function and energy demands observed in mitochondria from different tissues such as liver, heart, and skeletal muscle. Here, we used a combination of TiO2 phosphopeptide-enrichment, HILIC fractionation, and LC-MS/MS on isolated mitochondria to investigate the tissue-specific mitochondrial phosphoproteomes of rat liver, heart, and skeletal muscle. In total, we identified 899 phosphorylation sites in 354 different mitochondrial proteins including 479 potential novel sites. Most phosphorylation sites were detected in liver mitochondria (594), followed by heart (448) and skeletal muscle (336), and more phosphorylation sites were exclusively identified in liver mitochondria than in heart and skeletal muscle. Bioinformatics analysis pointed out enrichment for phosphoproteins involved in amino acid and fatty acid metabolism in liver mitochondria, whereas heart and skeletal muscle were enriched for phosphoproteins involved in energy metabolism, in particular, tricarboxylic acid cycle and oxidative phosphorylation. Multiple tissue-specific phosphorylation sites were identified in tissue-specific enzymes such as those encoded by HMGCS2, BDH1, PCK2, CPS1, and OTC in liver mitochondria, and CKMT2 and CPT1B in heart and skeletal muscle. Kinase prediction showed an important role for PKA and PKC in all tissues but also for proline-directed kinases in liver mitochondria. In conclusion, we provide a comprehensive map of mitochondrial phosphorylation sites, which covers approximately one-third of the mitochondrial proteome and can be targeted for the investigation of tissue-specific regulation of mitochondrial biological processes.

Assessment and improvement of statistical tools for comparative proteomics analysis of sparse data sets with few experimental replicates.

Large-scale quantitative analyses of biological systems are often performed with few replicate experiments, leading to multiple nonidentical data sets due to missing values. For example, mass spectrometry driven proteomics experiments are frequently performed with few biological or technical replicates due to sample-scarcity or due to duty-cycle or sensitivity constraints, or limited capacity of the available instrumentation, leading to incomplete results where detection of significant feature changes becomes a challenge. This problem is further exacerbated for the detection of significant changes on the peptide level, for example, in phospho-proteomics experiments. In order to assess the extent of this problem and the implications for large-scale proteome analysis, we investigated and optimized the performance of three statistical approaches by using simulated and experimental data sets with varying numbers of missing values. We applied three tools, including standard t test, moderated t test, also known as limma, and rank products for the detection of significantly changing features in simulated and experimental proteomics data sets with missing values. The rank product method was improved to work with data sets containing missing values. Extensive analysis of simulated and experimental data sets revealed that the performance of the statistical analysis tools depended on simple properties of the data sets. High-confidence results were obtained by using the limma and rank products methods for analyses of triplicate data sets that exhibited more than 1000 features and more than 50% missing values. The maximum number of differentially represented features was identified by using limma and rank products methods in a complementary manner. We therefore recommend combined usage of these methods as a novel and optimal way to detect significantly changing features in these data sets. This approach is suitable for large quantitative data sets from stable isotope labeling and mass spectrometry experiments and should be applicable to large data sets of any type. An R script that implements the improved rank products algorithm and the combined analysis is available.

Composition and structure of photosystem I in the moss Physcomitrella patens.

Recently, bryophytes, which diverged from the ancestor of seed plants more than 400 million years ago, came into focus in photosynthesis research as they can provide valuable insights into the evolution of photosynthetic complexes during the adaptation to terrestrial life. This study isolated intact photosystem I (PSI) with its associated light-harvesting complex (LHCI) from the moss Physcomitrella patens and characterized its structure, polypeptide composition, and light-harvesting function using electron microscopy, mass spectrometry, biochemical, and physiological methods. It became evident that Physcomitrella possesses a strikingly high number of isoforms for the different PSI core subunits as well as LHCI proteins. It was demonstrated that all these different subunit isoforms are expressed at the protein level and are incorporated into functional PSI-LHCI complexes. Furthermore, in contrast to previous reports, it was demonstrated that Physcomitrella assembles a light-harvesting complex consisting of four light-harvesting proteins forming a higher-plant-like PSI superstructure.

Glycopeptide enrichment for MALDI-TOF mass spectrometry analysis by hydrophilic interaction liquid chromatography solid phase extraction (HILIC SPE).

Glycoproteins, and in particular glycopeptides, are highly hydrophilic and are often not retained by reversed phase (RP) chromatography. The separation principle of normal phase (NP) is based on hydrophilic interactions, which in many aspects is complementary to RP separations. Hydrophilic interaction liquid chromatography (HILIC) is a fairly new variation of the NP separations used in the 1970s, the major difference being the use of aqueous solvents. HILIC provides a versatile tool for enrichment of glycopeptides before mass spectrometric (MS) analysis, particularly when used for solid phase extraction (SPE), or in combination with other chromatographic resins or ion-pairing reagents. HILIC SPE can be used for glyco-profiling, i.e., for determining the glycan heterogeneity at one specific glycosylation site, for enrichment of glycopeptides from a complex mixture of peptides, as well as for pre-fractionation of complex samples at the protein or peptide level. In this chapter we present a straightforward HILIC SPE enrichment technique and then combine C18 RP and HILIC enrichment for analysis of glycopeptides. Finally, we demonstrate HILIC enrichment using trifluoroacetic acid as an ion-pairing reagent for the enrichment of glycopeptides prior to mass spectrometry analysis.

Monitoring the native phosphorylation state of plasma membrane proteins from a single mouse cerebellum.

Neuronal processing in the cerebellum involves the phosphorylation and dephosphorylation of various plasma membrane proteins such as AMPA or NMDA receptors. Despite the importance of changes in phosphorylation pattern, no global phospho-proteome analysis has yet been performed. As plasma membrane proteins are major targets of the signalling cascades, we developed a protocol to monitor their phosphorylation state starting from a single mouse cerebellum. An aqueous polymer two-phase system was used to enrich for plasma membrane proteins. Subsequently, calcium phosphate precipitation, immobilized metal affinity chromatography, and TiO(2) were combined to a sequential extraction procedure prior to mass spectrometric analyses. This strategy resulted in the identification of 1501 different native phosphorylation sites in 507 different proteins. 765 (51%) of these phosphorylation sites were localized with a confidence level of 99% or higher. 41.4% of the identified proteins were allocated to the plasma membrane and about half of the phosphorylation sites have not been reported previously. A bioinformatic screen for 12 consensus sequences identified putative kinases for 642 phosphorylation sites. In summary, the protocol deployed here identified several hundred novel phosphorylation sites of cerebellar proteins. Furthermore, it provides a valuable tool to monitor the plasma membrane proteome from any small brain samples of interest under differing physiological or pathophysiological conditions.

In-depth analysis of the secretome identifies three major independent secretory pathways in differentiating human myoblasts.

Efficient muscle regeneration requires cross talk between multiple cell types via secreted signaling molecules. However, as yet there has been no comprehensive analysis of this secreted signaling network in order to understand how it regulates myogenesis in humans. Using integrated proteomic and genomic strategies, we show that human muscle cells release not only soluble secreted proteins through conventional secretory mechanisms but also complex protein and nucleic acid cargos via membrane microvesicle shedding. The soluble secretome of muscle cells contains 253 conventionally secreted signaling proteins, including 43 previously implicated in myogenesis, while others are known to modulate various cell types thus implying a much broader role for myoblasts in muscle remodeling. We also isolated and characterized two types of secreted membrane-derived vesicles: nanovesicles harboring typical exosomal features and larger, morphologically distinct, microvesicles. While they share some common features, their distinct protein and RNA cargos suggest independent functions in myogenesis. We further demonstrate that both types of microvesicles can dock and fuse with adjacent muscle cells but also deliver functional protein cargo. Thus, the intercellular signaling networks invoked during muscle differentiation and regeneration may employ conventional soluble signaling molecules acting in concert with muscle derived microvesicles delivering their cargos directly into target cells.

A probabilistic framework for peptide and protein quantification from data-dependent and data-independent LC-MS proteomics experiments.

A probability-based quantification framework is presented for the calculation of relative peptide and protein abundance in label-free and label-dependent LC-MS proteomics data. The results are accompanied by credible intervals and regulation probabilities. The algorithm takes into account data uncertainties via Poisson statistics modified by a noise contribution that is determined automatically during an initial normalization stage. Protein quantification relies on assignments of component peptides to the acquired data. These assignments are generally of variable reliability and may not be present across all of the experiments comprising an analysis. It is also possible for a peptide to be identified to more than one protein in a given mixture. For these reasons the algorithm accepts a prior probability of peptide assignment for each intensity measurement. The model is constructed in such a way that outliers of any type can be automatically reweighted. Two discrete normalization methods can be employed. The first method is based on a user-defined subset of peptides, while the second method relies on the presence of a dominant background of endogenous peptides for which the concentration is assumed to be unaffected. Normalization is performed using the same computational and statistical procedures employed by the main quantification algorithm. The performance of the algorithm will be illustrated on example data sets, and its utility demonstrated for typical proteomics applications. The quantification algorithm supports relative protein quantification based on precursor and product ion intensities acquired by means of data-dependent methods, originating from all common isotopically-labeled approaches, as well as label-free ion intensity-based data-independent methods.

Identification and profiling of salinity stress-responsive proteins in Sorghum bicolor seedlings.

Sorghum bicolor, a drought tolerant cereal crop, is not only an important food source in the semi arid/arid regions but also a potential model for studying and gaining a better understanding of the molecular mechanisms of drought and salt stress tolerance in cereals. In this study, seeds of a sweet sorghum variety, MN1618, were planted and grown on solid MS growth medium with or without 100mM NaCl. Heat shock protein expression immunoblotting assays demonstrated that this salt treatment induced stress within natural physiological parameters for our experimental material. 2D PAGE in combination with MS/MS proteomics techniques were used to separate, visualise and identify salinity stress responsive proteins in young sorghum leaves. Out of 281 Coomassie stainable spots, 118 showed statistically significant responses (p<0.05) to salt stress treatments. Of the 118 spots, 79 were selected for tandem mass spectrometric identification, owing to their good resolution and abundance levels, and of these, 55 were positively identified. Identified proteins were divided into six functional categories including both known and novel/putative stress responsive proteins. Molecular and physiological functions of some of our proteins of interest are currently under investigation via bioinformatic and molecular biology approaches.

Quantitative proteomics of primary tumors with varying metastatic capabilities using stable isotope-labeled proteins of multiple histogenic origins.

The development of metastasis is a complex, multistep process that remains poorly defined. To identify proteins involved in the colonization phase of the metastatic process, we compared the proteome of tumors derived from inoculation of a panel of isogenic human cancer cell lines with different metastatic capabilities into the mammary fat pad of immunodeficient mice. Using a protein standard generated by SILAC-labeling, a total of 675 proteins were identified and 30 were differentially expressed between at least two of the tumors. The protein standard contained the proteomes of seven cell lines from multiple histogenic origins and displayed superior features compared to standard super-SILAC. The expression of some proteins correlated with metastatic capabilities, such as myosin-9 (nonmuscle myosin II A) and L-lactate dehydrogenase A, while the expression of elongation factor tu correlated inversely to metastatic capabilities. The expression of these proteins was biochemically validated, and expression of myosin-9 in clinical breast cancer samples was further shown to be altered in primary tumors versus corresponding lymph node metastasis. Our study demonstrates an improved strategy for quantitative comparison of an unlimited number of tumor tissues, and provides novel insights into key proteins associated with the colonization phase of metastasis formation.

Identification of a potential biomarker panel for the intake of the common dietary trans fat elaidic acid (trans∆9-C18:1).

Trans fatty acid intake has been correlated to an unfavorable plasma lipoprotein profile and an increased cardiovascular disease risk. The present study aimed to identify a plasma protein biomarker panel related to human intake of elaidic acid. The human liver cell line HepG2-SF was used as a model system, and the cells were maintained for seven days in serum-free medium containing 100 µM elaidic acid (trans∆9-C18:1), oleic acid (cis∆9-C18:1) or stearic acid (C18:0). The secretomes were analyzed by stable isotope labeling of amino acids in cell culture (SILAC), difference in gel electrophoresis (DIGE) and gene expression microarray analysis. Twelve proteins were found to be differentially regulated based on SILAC data (>1.3 fold change, P-value<0.05), 13 proteins were found to be differentially regulated based on DIGE analysis (>1.3 fold change, P-value<0.05), and 17 mRNA transcripts encoding extracellular proteins were determined to be affected (>1.3 fold change, P-value<0.01) following the addition of elaidic acid compared to oleic acid or stearic acid. The results revealed that 37 proteins were regulated specifically in response to elaidic acid exposure, and nine of these proteins were confirmed to be regulated in this manner by using selected reaction monitoring mass spectrometry.