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PubMed2025

Live-Cell Monitoring and Omics Analysis of Liquid-Solid Transitions of Biomolecular Condensates.

Biomolecular condensates, or so-called membraneless organelles, transition from liquid into more solid-like states over time, contributing to the development of pathological conditions. The present study proposes a simple method using photoactive yellow protein (PYP) and its specific fluorescent covalent ligands to distinguish between the liquid and solid states of protein condensates in live cells. The method, compatible with fluorescence-activated cell sorting (FACS), correlates the stiffness of specific protein condensates with their accessibility to PYP ligands, enabling quantitative multicolor monitoring of condensate solidification. We applied this technique to 12 phase-separating proteins and their mutants, finding that TDP-43, particularly its A315T mutant linked to familial amyotrophic lateral sclerosis, most readily forms solid aggregates. Furthermore, this FACS-compatible strategy enabled the isolation of distinct cell populations based on condensate states, allowing for subsequent proteomic and transcriptomic analyses. Our findings demonstrate that condensate solidification is accompanied by the upregulated expression of extracellular matrix proteins, suggesting a previously unrecognized link between solid aggregate formation and extracellular matrix hardening.

Humans↗
PubMed2006

Proteome analysis of the silkworm (Bombyx mori. L) colleterial gland during different development stages.

The silkworm, Bombyx mori, colleterial gland developed very slowly until 2 days before emergence, then markedly enlarged due to the accumulation of a glue-like substances (mainly including 85% water and 11% proteins). However, the No glue (Ng) mutant female moth secreted only very little glue-like substance and laid loose eggs naturally. High-resolution two-dimensional polyacrylamide gel electrophoresis, followed by computer-assisted analysis, was used to screen the secretory region of colleterial gland protein patterns during different development stages to find quantitative and qualitative difference in protein expression during the pupae and moth stages. More than 700 protein spots were resolved in different developmental stages from the secretory region of the glands and most of the proteins were distributed in the mass range from 30 to 70 kD with pH 4-8. Through comparison and analysis, it was found that 3 proteins were only expressed in the later pupae stage (one or two days before emergence) and moth stage. Furthermore, these proteins were not expressed in the Ng mutant especially actin. There was a great variation of some protein expression volume during the development. Protein spots that changed more than 1.5-fold in expression level (relative to day 9), including 6 spots that were down-regulated and 2 spots that were up-regulated in expression were excised for identification by matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Results indicated that actins that participated or regulated the exocytosis of colleterial gland and other differentially expressed proteins might be related to colleterial gland development or the secretion of a glue-like substance.

Animals↗
PubMed2006

Alignment and statistical difference analysis of complex peptide data sets generated by multidimensional LC-MS.

A method for high-resolution proteomics analyses of complex protein mixtures is presented using multidimensional HPLC coupled to MS (MDLC-MS). The method was applied to identify proteins that are differentially expressed during fruit ripening of tomato. Protein extracts from red and green tomato fruits were digested by trypsin. The resulting highly complex peptide mixtures were separated by strong cation exchange chromatography (SCX), and subsequently analyzed by RP nano-LC coupled to quadrupole-TOF MS. For detailed quantitative comparison, triplicate RP-LC-MS runs were performed for each SCX fraction. The resulting data sets were analyzed using MetAlign software for noise and data reduction, multiple alignment and statistical variance analysis. For each RP-LC-MS chromatogram, up to 7000 mass components were detected. Peak intensity data were compared by multivariate and statistical analysis. This revealed a clear separation between the green and red tomato samples, and a clear separation of the different SCX fractions. MS/MS spectra were collected using the data-dependent acquisition mode from a selected set of differentially detected peptide masses, enabling the identification of proteins that were differentially expressed during ripening of tomato fruits. Our approach is a highly sensitive method to analyze proteins in complex mixtures without the need of isotope labeling.

Cation Exchange Resins↗
PubMed2001

Proteomic comparison of human and great ape blood plasma reveals conserved glycosylation and differences in thyroid hormone metabolism.

Most blood plasma proteins are glycosylated. These glycoproteins typically carry sialic acid-bearing sugar chains, which can modify the observed molecular weights and isoelectric points of those proteins during electrophoretic analyses. To explore changes in protein expression and glycosylation that occurred during great ape and human evolution, we subjected multiple blood plasma samples from all these species to high-resolution proteomic analysis. We found very few species-specific differences, indicating a remarkable degree of conservation of plasma protein expression and glycosylation during approximately 12 million years of evolution. A few lineage-specific differences in protein migration were noted among the great apes. The only obvious differences between humans and all great apes were an apparent decrease in transthyretin (prealbumin) and a change in haptoglobin isoforms (the latter was predictable from prior genetic studies). Quantitative studies of transthyretin in samples of blood plasma (synthesized primarily by the liver) and of cerebrospinal fluid (synthesized locally by the choroid plexus of the brain) confirmed approximately 2-fold higher levels in chimpanzees compared to humans. Since transthyretin binds thyroid hormones, we next compared plasma thyroid hormone parameters between humans and chimpanzees. The results indicate significant differences in the status of thyroid hormone metabolism, which represent the first known endocrine difference between these species. Notably, thyroid hormones are known to play major roles in the development, differentiation, and metabolism of many organs and tissues, including the brain and the cranium. Also, transthyretin is known to be the major carrier of thyroid hormone in the cerebrospinal fluid, likely regulating delivery of this hormone to the brain. A potential secondary difference in retinoid (vitamin A) metabolism is also noted. The implications of these findings for explaining unique features of human evolution are discussed.

Animals↗
PubMed2004

Proteomic signature corresponding to alpha fetoprotein expression in liver cancer cells.

Alpha fetoprotein (AFP) has been implicated in the development of hepatocellular carcinoma and is considered to be a diagnostic and prognostic tumor marker. Because elevated expression of AFP is associated with many characteristics of hepatocellular carcinoma tissues, we hypothesized that multiple proteins may function in a coordinated manner with AFP. To identify such proteins, we performed global protein expression analysis, namely a proteomic study. The protein expression profiles of 9 AFP-producing liver cancer cell lines (JHH-5, HuH-1, PLC/PRL/5, Hep3B, HT-17, JHH-7, HuH-7, HepG2, Li-7) and 7 nonproducing liver cancer cell lines (HLE, JHH-6, Sk-Hep-1, JHH-4, HLF, RBE, SSP-25) were generated by fluorescence 2-dimensional difference gel electrophoresis. In fluorescence 2-dimensional difference gel electrophoresis, proteins are labeled with fluorescent dyes before electrophoresis for more accurate quantitative expression analysis. We identified 11 protein spots that distinguished AFP-producing cell lines from nonproducing cell lines by multivariate studies. The spots showed consistent alterations in amount in AFP-producing cell lines (6 up-regulated and 5 down-regulated). An additional 5 liver cancer cell lines (KIM-1, KYN-2, KYN-3, PH5-CH, PH5-T) also were correctly grouped with respect to their AFP production on the basis of the intensity of the 11 protein spots. The proteins corresponding to the 11 selected spots were identified by mass spectrometry and were categorized into 4 groups based on their known role in apoptosis, glucose metabolism, cytoskeletal organization, or translation. In conclusion, we found a novel association of AFP with other proteins. Their interaction should provide insight into the biology of AFP-producing hepatocellular carcinoma cells.

Cell Line, Tumor↗
PubMed2004

Localization of organelle proteins by isotope tagging (LOPIT).

We describe a proteomics method for determining the subcellular localization of membrane proteins. Organelles are partially separated using centrifugation through self-generating density gradients. Proteins from each organelle co-fractionate and therefore exhibit similar distributions in the gradient. Protein distributions can be determined through a series of pair-wise comparisons of gradient fractions, using cleavable ICAT to enable relative quantitation of protein levels by MS. The localization of novel proteins is determined using multivariate data analysis techniques to match their distributions to those of proteins that are known to reside in specific organelles. Using this approach, we have simultaneously demonstrated the localization of membrane proteins in both the endoplasmic reticulum and the Golgi apparatus in Arabidopsis. Localization of organelle proteins by isotope tagging is a new tool for high-throughput protein localization, which is applicable to a wide range of research areas such as the study of organelle function and protein trafficking.

Arabidopsis↗
PubMed2005

A combined approach to drug metabolism and toxicity assessment.

The challenge of predicting the metabolism or toxicity of a drug in humans has been approached using in vivo animal models, in vitro systems, high throughput genomics and proteomics methods, and, more recently, computational approaches. Understanding the complexity of biological systems requires a broader perspective rather than focusing on just one method in isolation for prediction. Multiple methods may therefore be necessary and combined for a more accurate prediction. In the field of drug metabolism and toxicology, we have seen the growth, in recent years, of computational quantitative structure-activity relationships (QSARs), as well as empirical data from microarrays. In the current study we have further developed a novel computational approach, MetaDrug, that 1) predicts metabolites for molecules based on their chemical structure, 2) predicts the activity of the original compound and its metabolites with various absorption, distribution, metabolism, excretion, and toxicity models, 3) incorporates the predictions with human cell signaling and metabolic pathways and networks, and 4) integrates networks and metabolites, with relevant toxicogenomic or other high throughput data. We have demonstrated the utility of such an approach using recently published data from in vitro metabolism and microarray studies for aprepitant, 2(S)-((3,5-bis(trifluoromethyl)benzyl)-oxy)-3(S)phenyl-4-((3-oxo-1,2,4-triazol-5-yl)methyl)morpholine (L-742694), trovofloxacin, 4-hydroxytamoxifen, and artemisinin and other artemisinin analogs to show the predicted interactions with cytochromes P450, pregnane X receptor, and P-glycoprotein, and the metabolites and the networks of genes that are affected. As a comparison, we used a second computational approach, MetaCore, to generate statistically significant gene networks with the available expression data. These case studies demonstrate the combination of QSARs and systems biology methods.

Drug-Related Side Effects and Adverse Reactions↗
PubMed2005

Long-term morphine treatment enhances proteasome-dependent degradation of G beta in human neuroblastoma SH-SY5Y cells: correlation with onset of adenylate cyclase sensitization.

The initial aim of this study was to identify protein changes associated with long-term morphine treatment in a recombinant human neuroblastoma SH-SY5Y clone (sc2) stably overexpressing the human mu-opioid (MOP) receptor. In MOP receptor-overexpressing sc2 cells, short-term morphine exposure was found to be much more potent and efficacious in inhibiting forskolin-elicited production of cAMP, and long-term morphine exposure was shown to induce a substantially higher degree of opiate dependence, as reflected by adenylate cyclase sensitization, than it did in wild-type neuroblastoma cells. Differential proteomic analysis of detergent-resistant membrane rafts isolated from untreated and chronically morphine-treated sc2 cells revealed long-term morphine exposure to have reliably induced a 30 to 40% decrease in the abundance of five proteins, subsequently identified by mass spectrometry as G protein subunits alphai(2), alphai(3), beta(1), and beta(2), and prohibitin. Quantitative Western blot analyses of whole-cell extracts showed that long-term morphine treatment-induced down-regulation of Gbeta but not of the other proteins is highly correlated (r(2) = 0.96) with sensitization of adenylate cyclase. Down-regulation of Gbeta and adenylate cyclase sensitization elicited by long-term morphine treatment were suppressed in the presence of carbobenzoxy-l-leucyl-l-leucyl-l-norvalinal (MG-115) or lactacystin. Thus, sustained activation of the MOP receptor by morphine in sc2 cells seems to promote proteasomal degradation of Gbeta to sensitize adenylate cyclase. Together, our data suggest that the long-term administration of opiates may elicit dependence by altering the neuronal balance of heterotrimeric G proteins and adenylate cyclases, with the ubiquitin-proteasome pathway playing a pivotal role.

Adenylyl Cyclases↗
PubMed2006

Prorenin induces intracellular signaling in cardiomyocytes independently of angiotensin II.

Tissue accumulation of circulating prorenin results in angiotensin generation, but could also, through binding to the recently cloned (pro)renin receptor, lead to angiotensin-independent effects, like p42/p44 mitogen-activated protein kinase (MAPK) activation and plasminogen-activator inhibitor (PAI)-1 release. Here we investigated whether prorenin exerts angiotensin-independent effects in neonatal rat cardiomyocytes. Polyclonal antibodies detected the (pro)renin receptor in these cells. Prorenin affected neither p42/p44 MAPK nor PAI-1. PAI-1 release did occur during coincubation with angiotensinogen, suggesting that this effect is angiotensin mediated. Prorenin concentration-dependently activated p38 MAPK and simultaneously phosphorylated HSP27. The latter phosphorylation was blocked by the p38 MAPK inhibitor SB203580. Rat microarray gene (n=4800) transcription profiling of myocytes stimulated with prorenin detected 260 regulated genes (P<0.001 versus control), among which genes downstream of p38 MAPK and HSP27 involved in actin filament dynamics and (cis-)regulated genes confined in blood pressure and diabetes QTL regions, like Syntaxin-7, were overrepresented. Quantitative real-time RT-PCR of 7 selected genes (Opg, Timp1, Best5, Hsp27, pro-Anp, Col3a1, and Hk2) revealed temporal regulation, with peak levels occurring after 4 hours of prorenin exposure. This regulation was not altered in the presence of the renin inhibitor aliskiren or the angiotensin II type 1 receptor antagonist eprosartan. Finally, pilot 2D proteomic differential display experiments revealed actin cytoskeleton changes in cardiomyocytes after 48 hours of prorenin stimulation. In conclusion, prorenin exerts angiotensin-independent effects in cardiomyocytes. Prorenin-induced stimulation of the p38 MAPK/HSP27 pathway, resulting in alterations in actin filament dynamics, may underlie the severe cardiac hypertrophy that has been described previously in rats with hepatic prorenin overexpression.

Actin Cytoskeleton↗
PubMed2007

Proteomic discovery of 21 proteins expressed in human plasma-derived but not platelet-derived microparticles.

Microparticles (MPs) are small membrane vesicles generated by essentially all cell types. In the plasma, most MPs are derived from platelets, but those from other sources, particularly leukocytes (macrophages, lymphocytes, and neutrophils), endothelial cells, and even smooth muscle cells can be detected and appear to play an important role in normal physiology and various diseases. In previous work we analyzed the proteome of MPs generated from isolated platelets (platelet MPs). Here, we report on a comparative analysis of microparticles isolated from plasma (plasma MPs) versus platelet MP using two complementary methods of comparative analysis. The first method, spectral count analysis, yielded 21 proteins detected in plasma MPs (with a total spectral count of 10 or greater) that were essentially absent in platelet MPs (with a total spectral count of 1 or 0). An additional two proteins (von Willebrand Factor, albumin) were present in both types of MPs but enriched in the plasma MPs. The second method, isotope-coded affinity tag (ICAT) labeling of proteins, supported the spectral count results for the more abundant proteins and provided better relative quantitation of differentially expressed proteins. Proteins present only in the plasma MPs include several associated with apoptosis (CD5-like antigen, galectin 3 binding protein, several complement components), iron transport (transferrin, transferrin receptor, haptoglobin), immune response (complement components, immunoglobulin J and kappa chains), and the coagulation process (protein S, coagulation factor VIII).

Apoptosis↗
PubMed2006

Quantitative analysis of mitochondrial protein expression in methylmalonic acidemia by two-dimensional difference gel electrophoresis.

Isolated methylmalonic acidemia (MMA) is a rare metabolic disease due to the deficient activity of L-methylmalonyl-CoA mutase (MCM). This mitochondrial enzyme converts L-methylmalonyl-CoA to succinyl-CoA using adenosylcobalamin (Adocbl) as cofactor. Isolated MMA is subdivided into five forms: mut MMA associated with MCM deficiency, three different defects related to mitochondrial Adocbl formation (cblA, cblB, and cblH), and cblD variant 2. We performed proteomic analysis on mitochondria from an individual with cblH/cblD disorder using 2-D DIGE to identify differentially expressed proteins in this disease. Comparative analysis of control/patient mitochondrial proteome allowed us to identify differential expression of 10 proteins. The most notable groups included proteins involved in apoptosis (cytochrome c), oxidative stress (manganese superoxide dismutase) and cell metabolism (succinyl-CoA ligase (GDP forming) and mitochondrial glycerophosphate dehydrogenase). Immunoblot analysis further validated 2-D DIGE results of two of these proteins in multiple MMA patients, suggesting that the differences in expression are a general effect in this disorder. It is feasible that the differential proteins identified in this study have a biological significance and might be related to the pathophysiology of MMA.

Amino Acid Metabolism, Inborn Errors↗
PubMed2003

The human serum proteome: display of nearly 3700 chromatographically separated protein spots on two-dimensional electrophoresis gels and identification of 325 distinct proteins.

Plasma, the soluble component of the human blood, is believed to harbor thousands of distinct proteins, which originate from a variety of cells and tissues through either active secretion or leakage from blood cells or tissues. The dynamic range of plasma protein concentrations comprises at least nine orders of magnitude. Proteins involved in coagulation, immune defense, small molecule transport, and protease inhibition, many of them present in high abundance in this body fluid, have been functionally characterized and associated with disease processes. For example, protein sequence mutations in coagulation factors cause various serious disease states. Diagnosing and monitoring such diseases in blood plasma of affected individuals has typically been conducted by use of enzyme-linked immunosorbent assays, which using a specific antibody quantitatively measure only the affected protein in the tested plasma samples. The discovery of protein biomarkers in plasma for diseases with no known correlations to genetic mutations is challenging. It requires a highly parallel display and quantitation strategy for proteins. We fractionated blood serum proteins prior to display on two-dimensional electrophoresis (2-DE) gels using immunoaffinity chromatography to remove the most abundant serum proteins, followed by sequential anion-exchange and size-exclusion chromatography. Serum proteins from 74 fractions were displayed on 2-DE gels. This approach succeeded in resolving approximately 3700 distinct protein spots, many of them post-translationally modified variants of plasma proteins. About 1800 distinct serum protein spots were identified by mass spectrometry. They collapsed into 325 distinct proteins, after sequence homology and similarity searches were carried out to eliminate redundant protein annotations. Although a relatively insensitive dye, Coomassie Brilliant Blue G-250, was used to visualize protein spots, several proteins known to be present in serum in < 10 ng/mL concentrations were identified such as interleukin-6, cathepsins, and peptide hormones. Considering that our strategy allows highly parallel protein quantitation on 2-DE gels, it holds promise to accelerate the discovery of novel serum protein biomarkers.

Adult↗
PubMed2002

Comparative proteomics as a new tool for exploring human mitochondrial tRNA disorders.

More than 70 different point mutations in human mitochondrial tRNA genes are correlated with severe disorders, including fatal cardiopathies, encephalopathies, myopathies, and others. So far, investigation of the molecular impact(s) of mutations has focused on the affected tRNA itself by seeking structural and/or functional perturbations capable of interfering with synthesis of the 13 mitochondrion-encoded subunits of respiratory chain complexes. Here, a proteomic approach was used to investigate whether such mutations would affect the pattern of mitochondrial proteins at a broader level. Analysis of several hundred mitochondrial proteins from sibling cybrid cell lines by two-dimensional electrophoresis, an approach that takes into account all regulatory steps of mitochondrial and nuclear gene expression, indeed reveals a number of up- and downregulated proteins when healthy and single-point-mutation-carrying mitochondria representative of either MELAS or MERRF syndrome were compared. Assignment by mass spectrometry of the two proteins which exhibit obvious large quantitative decreases in the levels of both pathologic mitochondria identified nuclear-encoded subunits of cytochrome c oxidase, a respiratory chain complex. This clearly shows a linkage between the effects of mutations in mitochondrial tRNA genes and the steady-state level of nuclear-encoded proteins in mitochondria. It opens new routes toward a large-scale exploration of potential proteic partners involved in the genotype-phenotype correlation of mitochondrial disorders.

Amino Acid Sequence↗
PubMed2002

Challenges and opportunities for in vivo imaging in oncology.

Advances in genomics, proteomics and technology are changing medicine in fundamental ways. There are increasing clinical and laboratory requirements to obtain cellular and molecular information in vivo. This is particularly true in oncology, where the behavior of tumor cells is inextricably linked to their milieu. If cancer cells are removed from their microenvironment, their pattern of gene expression changes. Therefore, non-invasive, quantitative means of detecting gene and protein activity are essential. In vivo imaging is one methodology for achieving this. Marked advances in tracer methods for PET scanning or single-photon nuclear medicine techniques have occurred in the past few years. MRI contrast agents that reflect physiologic information are also being developed, although larger mass quantities of injectable material are required. The useful concept of "activatable agents" was pioneered in MRI. Similarly, ultrasound and computed tomography are being re-engineered to reflect information at the cellular level. In vivo optical imaging technologies have matured to the point where they are indispensable laboratory tools for small animal imaging. Human applications are in the feasibility testing stage, and the future for clinical optical imaging techniques looks bright. Merging these molecular imaging techniques with minimally or non-invasive image-guided therapeutic delivery techniques is a subsequent goal in the fight against cancer.

Humans↗
PubMedDate not supplied

Metabolic networks: a signal-oriented approach to cellular models.

Complete genomes, far advanced proteomes, and even 'metabolomes' are available for at least a few organisms, e.g., Escherichia coli. Systematic functional analyses of such complete data sets will produce a wealth of information and promise an understanding of the dynamics of complex biological networks and perhaps even of entire living organisms. Such complete and holistic descriptions of biological systems, however, will increasingly require a quantitative analysis and the help of mathematical models for simulating whole systems. In particular, new procedures are required that allow a meaningful reduction of the information derived from complex systems that will consequently be used in the modeling process. In this review the biological elements of such a modeling procedure will be described. In a first step, complex living systems must be structured into well-defined and clearly delimited functional units, the elements of which have a common physiological goal, belong to a single genetic unit, and respond to the signals of a signal transduction system that senses changes in physiological states of the organism. These functional units occur at each level of complexity and more complex units originate by grouping several lower level elements into a single, more complex unit. To each complexity level corresponds a global regulator that is epistatic over lower level regulators. After its structuring into modules (functional units), a biological system is converted in a second step into mathematical submodels that by progressive combination can also be assembled into more aggregated model structures. Such a simplification of a cell (an organism) reduces its complexity to a level amenable to present modeling capacities. The universal biochemistry, however, promises a set of rules valid for modeling biological systems, from unicellular microorganisms and cells, to multicellular organisms and to populations.

Animals↗
PubMed2026

IL17 signaling promotes oocyte developmental competence acquisition during maturation.

BACKGROUND: Defects in the acquisition of oocyte developmental competence during the maturation process causes subfertility or infertility in animals and humans. Understanding the regulatory mechanisms of oocyte maturation is essential for reproductive biology and medicine. Follicular fluid (FF) is an important microenvironment governing oocyte maturation. METHODS: A tandem mass tags (TMT)-based comparative FF proteomic analysis was employed to identify FF proteins that are potentially crucial for oocyte maturation. A very large number of pig and mouse oocytes (approximately 20,000) and embryos (over 13,000, including somatic cell nuclear transfer, parthenogenetic activation, and in vitro fertilization embryos) were used to investigate the effects of identified FF proteins on in vitro oocyte maturation and subsequent in vitro and in vivo embryo development. RNA sequencing, quantitative PCR, enzyme-linked immunosorbent assays, and immunofluorescence were used to study the expression patterns and action mechanisms of identified FF proteins in oocytes. In addition, intra-oocyte levels of glutathione and reactive oxygen species were measured to assess redox homeostasis. RESULTS: Interleukin 17D (IL17D) was identified as an important FF protein and it is significantly upregulated in porcine FF during oocyte maturation. IL17D promotes oocyte maturation by enhancing bidirectional communication between oocytes and cumulus cells, via upregulating CX43 expression and transzonal projections, which helps to maintain oocyte redox homeostasis and nuclear-cytoplasmic synchrony. IL17D treatment of oocytes enhances subsequent in vitro and in vivo full-term embryo development by modulating lipid metabolism and histone modification reprogramming. IL17D exerts its function via activating IL17 signaling through binding to CD93. Two other IL17 family members, IL17A and IL17F, also enhance oocyte maturation quality. IL17D displays a conserved expression pattern and function in pig and mouse oocytes. CONCLUSIONS: This study reveals the critical roles of IL17D in regulating oocyte developmental competence acquisition during maturation by activating IL17 signaling. The findings provide valuable insights into the molecular mechanisms underlining oocyte developmental potential acquisition and may help to develop methods for efficient production of oocytes for assisted reproduction.

Animals↗
PubMed2004

Comparative proteomes of the proliferating C(2)C(12) myoblasts and fully differentiated myotubes reveal the complexity of the skeletal muscle differentiation program.

When cultured in low serum-containing growth medium, the mouse C(2)C(12) cells exit cell cycle and undergo a well-defined program of differentiation that culminates in the formation of myosin heavy chain-positive bona fide multinucleated muscle cells. To gain an understanding into this process, we compared total, membrane- and nuclear-enriched proteins, and phospho-proteins from the proliferating C(2)C(12) cells and the fully differentiated myotubes by the combined methods of two-dimensional PAGE, quantitative PDQuest image analysis, and MS. Quantification of more than 2,000 proteins from C(2)C(12) myoblasts and myotubes revealed that a vast majority of the abundant proteins appear to be relegated to the essential, housekeeping and structural functions, and their steady state levels remain relatively constant. In contrast, 75 proteins were highly regulated during the phenotypic conversion of rapidly dividing C(2)C(12) myoblasts into fully differentiated, multi-nucleated, post-mitotic myotubes. We found that differential accumulation of 26 phospho-proteins also occurred during conversion of C(2)C(12) myoblasts into myotubes. We identified the differentially expressed proteins by MALDI-TOF-MS and LC-ESI-quadrupole ion trap MS/MS. We demonstrate that more than 100 proteins, some shown to be associated with muscle differentiation for the first time, that regulate inter- and intracellular signaling, cell shape, proliferation, apoptosis, and gene expression impinge on the mechanism of skeletal muscle differentiation.

Animals↗
PubMed2004

Proteomic analysis of the intestinal epithelial cell response to enteropathogenic Escherichia coli.

We present the first large scale proteomic analysis of a human cellular response to a pathogen. Enteropathogenic Escherichia coli (EPEC) is an enteric human pathogen responsible for much childhood morbidity and mortality worldwide. EPEC uses a type III secretion system (TTSS) to inject bacterial proteins into the cytosol of intestinal epithelial cells, resulting in diarrhea. We analyzed the host response to TTSS-delivered EPEC effector proteins by infecting polarized intestinal epithelial monolayers with either wild-type or TTSS-deficient EPEC. Host proteins were isolated and subjected to quantitative profiling using isotope-coded affinity tagging (ICAT) combined with electrospray ionization tandem mass spectrometry. We identified over 2000 unique proteins from infected Caco-2 monolayers, of which approximately 13% are expressed differentially in the presence of TTSS-delivered EPEC effector proteins. We validated these data in silico and through immunoblotting and immunofluorescence microscopy. The identified changes extend cytoskeletal observations made in less relevant cell types and generate testable hypotheses with regard to host proteins potentially involved in EPEC-induced diarrhea. These data provide a framework for future biochemical analyses of host-pathogen interactions.

Biological Transport↗