iTRAQ proteomic analysis of N‐acetylmuramic acid mediated anti‐inflammatory capacity in LPS‐induced RAW 264.7 cells

Lactobacillus acidophilus probiotic bacteria have lasting beneficial health effects in the gastrointestinal tract, including protecting against pathogens, improving immunomodulation, and producing beneficial bacteria‐derived molecules. In lipopolysaccharide (LPS) induced RAW 264.7 cells treated with peptidoglycan or N‐acetylmuramic acid (NAM) from L. acidophilus, 390 differentially expressed proteins (8.76%) were identified by iTRAQ analysis, 257 (5.77%) of which were upregulated and 133 (2.99%) were downregulated under LPS‐induced conditions. Most of these proteins were grouped into the following inflammation‐related cellular signaling: lysosome pathway, calcium signaling pathway, and Toll‐like receptor (TLR) signaling pathway. Among them, clathrin, SERCA, and interleukin 1 receptor antagonist were differentially expressed to a significant degree in peptidoglycan or NAM pretreated RAW 264.7 cells. Bioinformatics analysis indicated that NAM may mediate an anti‐inflammatory process via a Ca²⁺‐dependent NF‐κB pathway. These observations reveal new insights into the molecular mechanisms involved in the suppression of LPS‐induced macrophage inflammation by L. acidophilus.     

Discovery and identification of serum potential biomarkers for pulmonary tuberculosis using iTRAQ‐coupled two‐dimensional LC‐MS/MS

Pulmonary tuberculosis (TB) caused by Mycobacterium tuberculosis is a chronic disease. Currently, there are no sufficiently validated biomarkers for early diagnosis of TB infection. In this study, a panel of potential serum biomarkers was identified between patients with pulmonary TB and healthy controls by using iTRAQ‐coupled 2D LC‐MS/MS technique. Among 100 differentially expressed proteins screened, 45 proteins were upregulated (>1.25‐fold at p < 0.05) and 55 proteins were downregulated (<0.8‐fold at p < 0.05) in the TB serum. Bioinformatics analysis revealed that the differentially expressed proteins were related to the response to stimulus, the metabolic and immune system processes. The significantly differential expression of apolipoprotein CII (APOCII), CD5 antigen‐like (CD5L), hyaluronan‐binding protein 2 (HABP2), and retinol‐binding protein 4 (RBP4) was further confirmed using immunoblotting and ELISA analysis. By forward stepwise multivariate regression analysis, a panel of serum biomarkers including APOCII, CD5L, and RBP4 was obtained to form the disease diagnostic model. The receiver operation characteristic curve of the diagnostic model was 0.98 (sensitivity = 93.42%, specificity = 92.86%). In conclusion, APOCII, CD5L, HABP2, and RBP4 may be potential protein biomarkers of pulmonary TB. Our research provides useful data for early diagnosis of TB.     

Label‐free quantitative proteome analysis of skeletal tissues under mechanical load

Skeletal tissue has the capability to adapt its mass and structure in response to mechanical stress. However, the molecular mechanism of bone and cartilage to respond to mechanical stress are not fully understood. A label‐free quantitative proteome approach was used for the first time to obtain a global perspective of the response of skeletal tissue to mechanical stress. Label‐free quantitative analysis of 1D‐PAGE‐LC/MS/MS based proteomics was applied to identify differentially expressed proteins. Differential expression analysis in the experimental groups and control group showed significant changes for 248 proteins including proteins related to proliferation, differentiation, regulation of signal transduction and energy metabolic pathways. Fluorescence labeling by incorporation of alizarin/calcein in newly formed bone minerals qualitatively demonstrated new bone formation. Skeletal tissues under mechanical load evoked marked new bone formation in comparison with the control group. Bone material apposition was evident. Our data suggest that 39 proteins were assigned a role in anabolic process. Comparisons of anabolic versus catabolic features of the proteomes show that 42 proteins were related to catabolic. In addition, some proteins were related to regulation of signal transduction and energy pathways, such as tropomyosin 4, fibronectin 1, and laminin, might be new molecular targets that are responsive to mechanical force. Differentially expressed proteins identified in this model may offer a useful starting point for elucidating novel aspects of the effects of mechanical force on skeletal tissue. J. Cell. Biochem. 108: 600–611, 2009. © 2009 Wiley‐Liss, Inc.     

Quantitative Analysis of the Global Proteome in Peripheral Blood Mononuclear Cells from Patients with New‐Onset Psoriasis

Psoriasis is a common chronic autoimmune skin disease involving the activation of T cells. To explore the proteomic signature of peripheral blood mononuclear cells, a quantitative analysis of their global proteome was conducted in samples from Chinese patients with new‐onset psoriasis (n = 31) and healthy controls (n = 32) using an integrated quantitative approach with tandem mass tag labeling and LC–MS/MS. Protein annotation, unsupervised hierarchical clustering, functional classification, functional enrichment and cluster, and protein–protein interaction analyses were performed. A total of 5178 proteins were identified, of which 4404 proteins were quantified. The fold‐change cutoff was set at 1.2 (patients vs controls); 335 proteins were upregulated, and 107 proteins were downregulated. The bioinformatics analysis indicated that the differentially expressed proteins were involved in processes related to the activation of immune cells including the nuclear factor kappa‐light‐chain‐enhancer of activated B cells (NF‐κB) pathway, cellular energy metabolism, and proliferation. Three upregulated proteins and two phosphorylated proteins in the NF‐κB pathway were verified or identified by Western blotting. These results confirm that the NF‐κB pathway is critical to psoriasis. In addition, many differentially expressed proteins identified in this study have never before been associated with psoriasis, and further studies on these proteins are necessary.     

ER/PR阳性和阴性乳腺癌的定量蛋白质组学和生物信息学比较研究

目的:建立雌/孕激素受体(ER/PR)阴性和阳性乳腺癌的蛋白质表达谱,寻找ER/PR阴性和阳性乳腺癌中差异表达蛋白,为乳腺癌患者提供新的预后预测指标和治疗新靶点。方法:应用蛋白质组学i TRAQ技术建立ER/PR阳性和阴性乳腺癌的蛋白质差异表达谱,鉴定两组乳腺癌的差异表达蛋白,对部分差异表达蛋白进行生物信息学分析,包括蛋白功能注释和分类GO分析和KEGG通路分析。结果:应用i TRAQ蛋白质组学技术对乳腺癌组织进行了蛋白组学分析,鉴定出ER/PR阳性和阴性组间有差异表达的蛋白4999种,以ER/PR阳性:ER/PR阴性≥3为上调标准,确定ER/PR阳性组上调蛋白101种。以ER/PR阳性:ER/PR阴性≤0.5为下调标准,ER/PR阳性组下调蛋白122种。GO分析结果显示ER/PR受体阴性和阳性乳腺癌的差异表达蛋白的分子功能、生物过程、细胞定位较为复杂,并且在上调蛋白和下调蛋白上存在分布差异。KEGG通路分析发现部分差异表达蛋白涉及201条信号通路。结论:ER/PR阳性和阴性乳腺癌间存在差异表达蛋白,这些蛋白涉及复杂的分子功能、生物过程和信号通路。     

Identification of differentially expressed proteins by treatment with PUGNAc in 3T3‐L1 adipocytes through analysis of ATP‐binding proteome

O‐GlcNAc (2‐acetamino‐2‐deoxy‐β‐D‐glucopyranose), an important modification for cellular processes, is catalyzed by O‐GlcNAc transferase and O‐GlcNAcase. O‐(2‐acetamido‐2‐deoxy‐D‐glucopyranosylidene) amino‐N‐phenylcarbamate (PUGNAc) is a nonselective inhibitor of O‐GlcNAcase, which increases the level of protein O‐GlcNAcylation and is known to induce insulin‐resistance in adipose cells due to uncharacterized targets of this inhibitor. In this study, using ATP affinity chromatography, we applied a targeted proteomic approach for identification of proteins induced by treatment with PUGNAc. For optimization of proteomic methods using ATP affinity chromatography, comparison of two cell lines (3T3‐L1 adipocytes and C2C12 myotubes) and two different digestion steps was performed using four different structures of immobilized ATP‐bound resins. Using this approach, based on DNA sequence homologies, we found that the identified proteins covered almost half of ATP‐binding protein families classified by PROSITE. The optimized ATP affinity chromatography approach was applied for identification of proteins that were differentially expressed in 3T3‐L1 adipocytes following treatment with PUGNAc. For label‐free quantitation, a gel‐assisted method was used for digestion of the eluted proteins, and analysis was performed using two different MS modes, data‐independent (671 proteins identified) and data‐dependent (533 proteins identified) analyses. Among identified proteins, 261 proteins belong to nucleotide‐binding proteins and we focused on some nucleotide‐binding proteins, ubiquitin‐activation enzyme 1 (E1), Hsp70, vasolin‐containing protein (Vcp), and Hsp90, involved in ubiquitin‐proteasome degradation and insulin signaling pathways. In addition, we found that treatment with PUGNAc resulted in increased ubiquitination of proteins in a time‐dependent manner, and a decrease in both the amount of Akt and the level of phosphorylation of Akt, a key component in insulin signaling, through downregulation of Hsp90. In this study, based on a targeted proteomic approach using ATP affinity chromatography, we found four proteins related to ubiquitination and insulin signaling pathways that were induced by treatment with PUGNAc. This result would provide insight into understanding functions of PUGNAc in 3T3‐L1 cells.     

Quantitative proteomics of Arabidopsis shoot microsomal proteins reveals a cross‐talk between excess zinc and iron deficiency

Iron (Fe) deficiency significantly effects plant growth and development. Plant symptoms under excess zinc (Zn) resemble symptoms of Fe‐deficient plants. To understand cross‐talk between excess Zn and Fe deficiency, we investigated physiological parameters of Arabidopsis plants and applied iTRAQ‐OFFGEL quantitative proteomic approach to examine protein expression changes in microsomal fraction from Arabidopsis shoots under those physiological conditions. Arabidopsis plants manifested shoot inhibition and chlorosis symptoms when grown on Fe‐deficient media compared to basal MGRL solid medium. iTRAQ‐OFFGEL approach identified 909 differentially expressed proteins common to all three biological replicates; the majority were transporters or proteins involved in photosynthesis, and ribosomal proteins. Interestingly, protein expression changes between excess Zn and Fe deficiency showed similar pattern. Further, the changes due to excess Zn were dramatically restored by the addition of Fe. To obtain biological insight into Zn and Fe cross‐talk, we focused on transporters, where STP4 and STP13 sugar transporters were predominantly expressed and responsive to Fe‐deficient conditions. Plants grown on Fe‐deficient conditions showed significantly increased level of sugars. These results suggest that Fe deficiency might lead to the disruption of sugar synthesis and utilization.     

Differential proteomic analysis using isotope‐coded protein‐labeling strategies: Comparison,improvements and application to simulated microgravity effect on Cupriavidus metallidurans CH34

Among differential proteomic methods based on stable isotopic labeling, isotope‐coded protein labeling (ICPL) is a recent non‐isobaric technique devised to label primary amines found in proteins. ICPL overcomes some of the disadvantages found in other chemical‐labeling techniques, such as iTRAQ or ICAT. However, previous analyses revealed that more than 30% of the proteins identified in regular ICPL generally remain unquantified. In this study, we describe a modified version of ICPL, named Post‐digest ICPL, that makes it possible to label and thus to quantify all the peptides in a sample (bottom–up approach). Optimization and validation of this Post‐digest ICPL approach were performed using a standard protein mixture and complex protein samples. Using this strategy, the number of proteins that were identified and quantified was greatly increased in comparison with regular ICPL and cICAT approaches. The pros and cons of this improvement are discussed. This complementary approach to traditional ICPL was applied to the analysis of modification of protein abundances in the model bacterium Cupriavidus metallidurans CH34 after cultivation under simulated microgravity. In this context, two different systems – a 2‐D clinorotation and 3‐D random positioning device – were used and the results were compared and discussed.     

Integrated transcriptomic and proteomic analyses reveal ɑ‐lipoic acid‐regulated cell proliferation via Grb2‐mediated signalling in hepatic cancer cells

Hepatocellular carcinoma is the most frequent primary liver cancer worldwide. The use of antioxidants as cancer prevention and treatment agents has become a focus of research in recent years due to their limited adverse effects. Alpha lipoic acid (ɑ‐LA) is synthesized in the liver and is considered a naturally occurring antioxidant. In this study, a total of 4446 differentially expressed genes (2097 down‐regulated and 2349 up‐regulated) were identified via RNA‐Seq in HepG2 cells after exposure to α‐LA for 24 hrs. Moreover, GO and KEGG pathway analyses showed that cancer‐relevant cell membrane proteins were significantly affected. An interaction network analysis predicted that Grb2 might mediate the key target pathways activated by exposure to ɑ‐LA. Verification of the RNA‐Seq and iTRAQ results confirmed that Grb2 mediated the ɑ‐LA‐induced inhibition of cell proliferation in vitro. Furthermore, the analysis of human hepatocellular carcinoma specimens obtained from the GEO database showed that the expression of EGFR and Met correlated with that of Grb2. These findings provide a novel mechanism through which ɑ‐LA regulates cell proliferation via the down‐regulation of growth factor‐stimulated Grb2 signalling.     

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.     

LC‐MS/MS‐based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma

Associating changes in protein levels with the onset of cancer has been widely investigated to identify clinically relevant diagnostic biomarkers. In the present study, we analyzed sera from 205 patients recruited in the United States and Egypt for biomarker discovery using label‐free proteomic analysis by LC‐MS/MS. We performed untargeted proteomic analysis of sera to identify candidate proteins with statistically significant differences between hepatocellular carcinoma (HCC) and patients with liver cirrhosis. We further evaluated the significance of 101 proteins in sera from the same 205 patients through targeted quantitation by MRM on a triple quadrupole mass spectrometer. This led to the identification of 21 candidate protein biomarkers that were significantly altered in both the United States and Egyptian cohorts. Among the 21 candidates, ten were previously reported as HCC‐associated proteins (eight exhibiting consistent trends with our observation), whereas 11 are new candidates discovered by this study. Pathway analysis based on the significant proteins reveals upregulation of the complement and coagulation cascades pathway and downregulation of the antigen processing and presentation pathway in HCC cases versus patients with liver cirrhosis. The results of this study demonstrate the power of combining untargeted and targeted quantitation methods for a comprehensive serum proteomic analysis, to evaluate changes in protein levels and discover novel diagnostic biomarkers. All MS data have been deposited in the ProteomeXchange with identifier PXD001171 ( http://proteomecentral.proteomexchange.org/dataset/PXD001171 ).     

Cross‐compartment proteostasis regulation during redox imbalance induced ER stress

Imbalance in protein homeostasis in specific subcellular organelles is alleviated through organelle‐specific stress response pathways. As a canonical example of stress activated pathway, accumulation of misfolded proteins in ER activates unfolded protein response (UPR) in almost all eukaryotic organisms. However, very little is known about the involvement of proteins of other organelles that help to maintain the cellular protein homeostasis during ER stress. In this study, using iTRAQ‐based LC–MS approach, we identified organelle enriched proteins that are differentially expressed in yeast (Saccharomyces cerevisiae) during ER stress in the absence of UPR sensor Ire1p. We have identified about 750 proteins from enriched organelle fraction in three independent iTRAQ experiments. Induction of ER stress resulted in the differential expression of 93 proteins in WT strains, 40 of which were found to be dependent on IRE1. Our study reveals a cross‐talk between ER‐ and mitochondrial proteostasis exemplified by an Ire1p‐dependent induction of Hsp60p, a mitochondrial chaperone. Thus, in this study, we show changes in protein levels in various organelles in response to ER stress. A large fraction of these changes were dependent on canonical UPR signalling through Ire1, highlighting the importance of interorganellar cross‐talk during stress.     

Proteomic understanding of intracellular responses of recombinant chinese hamster ovary cells adapted to grow in serum‐free suspension culture

To understand the intracellular responses in recombinant Chinese hamster ovary (rCHO) cells adapted to grow in serum‐free suspension culture, a proteomic approach was employed. After rCHO cells producing erythropoietin were adapted to grow in suspension culture with the two different serum‐free media (SFM4CHO? and SF‐L1), proteome analyses were carried out using 2‐D PAGE and based on spot intensities, 58 high‐intensity protein spots were selected. Of the 58 protein spots, which represented 34 different kinds of proteins, 55 were identified by MALDI‐TOF‐MS, and MS/MS. Compared with the results in serum‐containing medium, six proteins, four de novo synthesis of nucleotides‐related proteins (dihydrolipoamide S‐acetyltransferase, transaldolase, inosine‐5′‐monophosphate dehydrogenase 2, and lymphoid‐restricted membrane protein) and two molecular chaperones (heat shock protein 70 kDa and 60 kDa [HSC70, HSP60]) were significantly increased in SFM4CHO?. From the results of proteomic analysis, HSP60 and HSC70, which were increased in both SFM, were selected as candidate proteins for engineering and rCHO cell lines overexpressing these genes were constructed. Cells overexpressing HSP60 and/or HSC70 showed 10–15% enhanced cell concentration during serum‐free adaptation and 15–33% reduction in adaptation time. Taken together, identification of differentially expressed proteins in rCHO cells by a proteomic study can provide insights into understanding the intracellular events and clues to find candidate genes for cell engineering for improved performance of rCHO cells during adaptation to serum‐free suspension culture. © 2011 American Institute of Chemical Engineers Biotechnol. Prog., 2011     

Proteome analysis of Duck Tembusu virus (DTMUV)‐infected BHK‐21 cells

Duck Tembusu virus (DTMUV) is a newly emerging pathogenic flavivirus that has caused huge economic losses to the duck industry in China since 2010. Moreover, the infection has spread rapidly, posing a potential public health concern. In this study, iTRAQ approach was first used to quantitatively identify differentially expressed cellular proteins in DTMUV‐infected BHK‐21 cells which are usually employed to produce veterinary vaccines for DTMUV, as well as other flaviviruses by serial passage. We identified 192 differentially expressed cellular proteins, including 11 upregulated and eight downregulated proteins at 24 h postinfection (hpi), as well as 25 upregulated and 151 downregulated proteins at 48 hpi, of which TLR9, DDX3X, and DDX5 may play important roles in virus propagation. Further, DDX3X could inhibit DTMUV replication by modulating the IFN pathway via TBK1. In conclusion, our study is the first to analyze the protein profile of DTMUV‐infected cells by quantitative proteomics. We believe that our findings provide valuable information in better understanding the host response to DTMUV infection. These findings are particularly important in the development of vaccine‐based strategies.     

Differential metabolic response of cultured rice (Oryza sativa) cells exposed to high‐ and low‐temperature stress

Global mean temperatures are expected to rise by 2–4.5°C by 2100, accompanied by an increase in frequency and amplitude of extreme temperature events. Greater climatic extremes and an expanded range of cultivation will expose rice to increasing stress in the future. Understanding gene expression in disparate thermal regimes is important for the engineering of cultivars with tolerance to nonoptimal temperatures. Our study investigated the proteomic responses of rice cell suspension cultures to sudden temperature changes. Cell cultures grown at 28°C were subjected to 3‐day exposure to 12 or 20°C for low‐temperature stress, and 36 or 44°C for high‐temperature stress. Quantitative label‐free shotgun proteomic analysis was performed on biological triplicates of each treatment. Over 1900 proteins were expressed in one or more temperature treatments, and, of these, more than 850 were found to be responsive to either of the temperature extremes. These temperature‐responsive proteins included more than 300 proteins which were uniquely expressed at either 12 or 44°C. Our study also identified 40 novel stress–response proteins and observed that switching between the classical and the alternative pathways of sucrose metabolism occurs in response to extremes of temperature.