Comparative Analysis of Label-Free and 8-Plex iTRAQ Approach for Quantitative Tissue Proteomic Analysis

High resolution proteomics approaches have been successfully utilized for the comprehensive characterization of the cell proteome. However, in the case of quantitative proteomics an open question still remains, which quantification strategy is best suited for identification of biologically relevant changes, especially in clinical specimens. In this study, a thorough comparison of a label-free approach (intensity-based) and 8-plex iTRAQ was conducted as applied to the analysis of tumor tissue samples from non-muscle invasive and muscle-invasive bladder cancer. For the latter, two acquisition strategies were tested including analysis of unfractionated and fractioned iTRAQ-labeled peptides. To reduce variability, aliquots of the same protein extract were used as starting material, whereas to obtain representative results per method further sample processing and MS analysis were conducted according to routinely applied protocols. Considering only multiple-peptide identifications, LC-MS/MS analysis resulted in the identification of 910, 1092 and 332 proteins by label-free, fractionated and unfractionated iTRAQ, respectively. The label-free strategy provided higher protein sequence coverage compared to both iTRAQ experiments. Even though pre-fraction of the iTRAQ labeled peptides allowed for a higher number of identifications, this was not accompanied by a respective increase in the number of differentially expressed changes detected. Validity of the proteomics output related to protein identification and differential expression was determined by comparison to existing data in the field (Protein Atlas and published data on the disease). All methods predicted changes which to a large extent agreed with published data, with label-free providing a higher number of significant changes than iTRAQ. Conclusively, both label-free and iTRAQ (when combined to peptide fractionation) provide high proteome coverage and apparently valid predictions in terms of differential expression, nevertheless label-free provides higher sequence coverage and ultimately detects a higher number of differentially expressed proteins. The risk for receiving false associations still exists, particularly when analyzing highly heterogeneous biological samples, raising the need for the analysis of higher sample numbers and/or application of adjustment for multiple testing.     

Green fluorescent protein expression triggers proteome changes in breast cancer cells

Green fluorescent protein (GFP) is the most commonly used reporter of expression in cell biology despite evidence that it affects the cell physiology. The molecular mechanism of GFP-associated modifications has been largely unexplored. In this paper we investigated the proteome modifications following stable expression of GFP in breast cancer cells (MDA-MB-231). A combination of three different proteome analysis methods (2-DE, iTRAQ, label-free) was used to maximise proteome coverage. We found that GFP expression induces changes in expression of proteins that are associated with protein folding, cytoskeletal organisation and cellular immune response. In view of these findings, the use of GFP as a cell reporter should be carefully monitored.     

Quantitative shotgun proteomic analysis of cold-stressed mature rice anthers

Rice crops are vulnerable to low temperatures. During development, the reproductive stage is particularly sensitive to cold exposure, which causes abnormal pollen development and a high degree of male sterility. In this study, shotgun proteomic analysis was used to analyze rice anthers containing pollen grains from a cold-tolerant variety, Dianxi 4. Protein expression was compared between normal anthers and anthers exposed to cold temperatures at the young microspore stage. In total, 3835 non-redundant proteins were identified in the rice anther. Of these, 441 proteins were differentially expressed between normal and cold-treated anthers. Pollen allergens, ATP synthase, actin, profilin, and β-expansin proteins were highly abundant, reflecting anther development, pollen germination, and pollen tube elongation. Starch and sucrose metabolic proteins such as α-amylase precursor and 4-α-glucanotransferase exhibited reduced expression after cold exposure. Among the proteins that exhibited increased expression after cold exposure, C2 domain proteins, and GRPs were identified as candidate signaling factors for mediation of the cold tolerance response. Through high-throughput proteomic analysis we were able to reveal proteomic changes against cold stress and suggest two signaling factors as the candidate genes.     

An approach to identify cold-induced low-abundant proteins in rice leaf

A proteomic approach has been adopted to investigate the low-abundant proteins in rice leaf in response to cold stress. Rice seedlings were exposed to different temperatures, such as 5 or 10 degrees C, and samples were collected after different time course. To eliminate the high-abundant proteins in leaf tissues such as ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), proteins were fractionated by polyethylene glycol (PEG). The elimination of Rubisco from the protein samples was confirmed by Western blot analysis. The PEG fractionated protein samples were separated by 2-DE and visualized by silver or CBB staining. A total 12 up-regulated protein spots were identified using the analysis of MALDI-TOF mass spectrometry or ESI MS/MS. We identified some novel proteins such as cysteine proteinase, thioredoxin peroxidase, a RING zinc finger protein-like, drought-inducible late embryogenesis abundant, and a fibrillin-like protein that had not yet been reported in the earlier reports on cold proteomic analysis. The identification of some novel low-abundant proteins in response to cold stress may provide a new homeostasis to develop enhanced cold tolerance transgenic plants. Thus, we propose that a PEG fractionation system can be used as an influential protein extraction method from the leaf samples, which can lead to knowledge of the expression pattern of low-abundant proteins in response to various biotic or abiotic stresses.     

Comparative proteomic analysis reveals differential protein and energy metabolisms from two tobacco cultivars in response to cold stress

Low temperature is an important abiotic stress for plant development and has serious effects on crop production. Because tobacco is sensitive to low temperature, it is suitable for analyzing the mechanisms of cold response in plants. In the current study, NC567 and Taiyan8, two cultivars with different sensitivities to low temperature, were used in Isobaric Tags for Relative and Absolute Quantitation (iTRAQ)-based proteomics to uncover their different mechanisms in response to cold stress. A total of 4317 distinct proteins were identified and the differentially expressed proteins in four comparison sets were used for further analysis. The gene ontology (GO) analysis indicated that the majority of differentially expressed proteins were in the categories involved in metabolic and cellular processes. Surprisingly, there were 55 proteins decreased in NC567, but increased in Taiyan8 in response to cold, while the levels of 42 proteins were lower in Taiyan8 than NC567 at normal temperature, but higher in Taiyan8 than NC567 under cold treatment, suggesting different responses to cold stress in these cultivars. The levels of polypeptides involved in protein synthesis and degradation, photosynthesis, and respiration, as well as ROS scavenging, were different in the comparison sets, implying that protein and energy metabolisms may be important for the establishment of cellular environment at low temperature. In conclusion, our study identified the potential pathways involved in low-temperature response of tobacco and provides hints for the further improvement of cold tolerance in crops.     

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 Analysis of Rice Seedlings Under Cold Stress

Low temperature can greatly restrict the growth and development of rice. The rice seedlings show growth retardation, lamina wrap, and part of blade even died under the condition of low temperature. In order to get more information about cold stress responses in rice, two dimensional electrophoresis and bioinformatics analysis of mass spectrometry were used to preliminary survey the cold tolerance of cold sensitive line 9311 and cold resistance variety Fujisaka 5 under cold stress. Two dimensional electrophoresis maps of 9311 and Fujisaka 5 were established under cold treatment. With analysis of bioinformation, the proteins were found involve in many aspects of rice development. The largest category of proteins is functioning on metabolism. By comparing the proteins from the two varieties, it can be found that most proteins from 9311 were down-regulated and were up-regulated in Fujisaka 5. The results showed that the membrane composition and structure were damaged, metabolism changed dramatically and rice defense system was activated under the cold stimulation. Fifty-nine proteins related to the resistance of cold stress were identified in our study, and we have investigated and classified all of their biological functions. The importance of our study are providing some conduct for the research of rice resistant to cold stress, supporting auxiliary technique for rice varieties and widening the search field of cold tolerance in plants.     

Combination of peptide OFFGEL fractionation and label-free quantitation facilitated proteomics profiling of extraocular muscle

Several label-free quantitation strategies have been introduced that obliterate the need for expensive isotopically labeled molecules. However label-free approaches have considerably higher demands in respect of repeatability of sample preparation and fractionation than multiplexing isotope labeling-based strategies. OFFGEL fractionation promises the necessary separation efficiency and repeatability. To test this platform, 12-fraction peptide OFFGEL electrophoresis and online reversed-phase LC connected to a quadrupole TOF mass spectrometer were used to determine differences of the physiological, pathological and biochemical distinct extraocular muscle allotype in comparison to hind-limb muscle. Close to 70% of the peptides separated by OFFGEL electrophoresis were detected only in a single fraction. To determine the separation repeatability of four samples, we compared the ion volumes of multiple peptides deriving from the thick filament-associated protein titin over several fractions and determined a coefficient of variation below 20%. Of the 474 proteins identified, 61 proteins were differently expressed between the two muscle allotypes and were involved in metabolism, muscle contraction, stress response, or gene expression. Several expression differences were validated using immunohistochemistry and Western blot analysis. We therefore consider peptide OFFGEL fractionation an effective and efficient addition to our label-free quantitative proteomics workflow.     

Identification of NaCl stress-responsive apoplastic proteins in rice shoot stems by 2D-DIGE

Plants have evolved sophisticated systems to cope with adverse environmental conditions such as cold, drought, and salinity. Although a number of stress response networks have been proposed, the role of plant apoplast in plant stress response has been ignored. To investigate the role of apoplastic proteins in the salt stress response, 10-day old rice plants were treated with 200mM NaCl for 1, 6 or 12h, and the soluble apoplast proteins of rice shoot stems were extracted for differential analysis, compared with untreated controls, by 2-D DIGE saturation labeling techniques. One hundred twenty-two significantly changed spots were identified by LC-MS/MS, and 117 spots representing 69 proteins have been identified. Of these proteins, 37 are apoplastic proteins according to the bioinformatic analysis. These proteins are mainly involved in the processes of carbohydrate metabolism, oxido-reduction, and protein processing and degradation. According to their functional categories and cluster analysis, a stress response model of apoplastic proteins has been proposed. These data indicate that the apoplast is important in plant stress signal reception and response.     

Differential proteomic response of rice (Oryza sativa) leaves exposed to high- and low-temperature stress

Global mean surface temperature has been predicted to increase by 1.8-4°C within this century, accompanied by an increase in the magnitude and frequency of extreme temperature events. Developing rice cultivars better adapted to non-optimal temperatures is essential to increase rice yield in the future and, hence, understanding the molecular response of rice to temperature stress is necessary. In this study, we investigated the proteomic responses of leaves of 24-day-old rice seedlings to sudden temperature changes. Rice seedlings grown at 28/20°C (day/night) were subjected to 3-day exposure to 12/5°C or 20/12°C (day/night) for low-temperature stress, and 36/28°C or 44/36°C (day/night) for high-temperature stress, followed by quantitative label-free shotgun proteomic analysis on biological triplicates of each treatment. Out of over 1100 proteins identified in one or more temperature treatments, more than 400 were found to be responsive to temperature stress. Of these, 43, 126 and 47 proteins were exclusively found at 12/5, 20/12 and 44/36°C (day/night), respectively. Our results showed that a greater change occurs in the rice leaf proteome at 20/12°C (day/night) in comparison to other non-optimal temperature regimes. In addition, our study identified more than 20 novel stress-response proteins.     

Proteome and phosphoproteome differential expression under salinity stress in rice (Oryza sativa) roots

Salinity stress is a major abiotic stress that limits agriculture productivity worldwide. Rice is a model plant of monocotyledons, including cereal crops. Studies have suggested a critical role of protein phosphorylation in salt stress response in plants. However, the phosphoproteome in rice, particularly under salinity stress, has not been well studied. Here, we use Pro-Q Diamond Phosphoprotein Stain to study rice phosphoproteome differential expression under salt stress. Seventeen differentially upregulated and 11 differentially downregulated putative phosphoproteins have been identified. Further analyses indicate that 10 of the 17 upregulated proteins are probably upregulated at post-translational level instead of the protein concentration. Meanwhile, we have identified 31 salt stress differentially regulated proteins using SYPRO Ruby stain. While eight of them are known salt stress response proteins, the majority has not been reported in the literature. Our studies have provided valuable new insight into plant response to salinity stress.     

Proteomic Analysis of Salt Stress Responses in Rice Shoot

To gain a better understanding of the mechanism of rice (Oryza sativa L.) in response to salt stress, we performed a proteomics analysis of rice in response to 250 mM NaCl treatment using shoots of 3-day-old nascent seedlings. The changes of protein patterns were monitored with two-dimensional gel electrophoresis. Of 57 protein spots showing changes in abundance in response to salt stress, 52 were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The identified proteins were classified into eight functional categories. Several novel salt stress-responsive proteins, including protein synthesis inhibitor I, photosystem II stability/assembly factor HCF136, trigger factor-like protein and cycloartenol-C24-methyltransferase are upregulated upon salt stress. In order to figure out the different and similar molecular mechanism among salt and other stresses, regulation of some salt responsive proteins under other abiotic stress (cold and dehydration) and abscisic acid application was also analyzed. The possible molecular mechanism of rice seedlings in response to salinity and other stresses were discussed.     

The proteomic profile of hereditary inclusion body myopathy

Hereditary inclusion body myopathy (HIBM) is an adult onset, slowly progressive distal and proximal myopathy. Although the causing gene, GNE, encodes for a key enzyme in the biosynthesis of sialic acid, its primary function in HIBM remains unknown. The goal of this study was to unravel new clues on the biological pathways leading to HIBM by proteomic comparison. Muscle cultures and biopsies were analyzed by two dimensional gel electrophoresis (2-DE) and the same biopsy extracts by isobaric tag for relative and absolute quantitation (iTRAQ). Proteins that were differentially expressed in all HIBM specimens versus all controls in each analysis were identified by mass spectrometry. The muscle cultures 2-DE analysis yielded 41 such proteins, while the biopsies 2-DE analysis showed 26 differentially expressed proteins. Out of the 400 proteins identified in biopsies by iTRAQ, 41 showed altered expression. In spite of the different nature of specimens (muscle primary cultures versus muscle biopsies) and of the different methods applied (2D gels versus iTRAQ) the differentially expressed proteins identified in each of the three analyses where related mainly to the same pathways, ubiquitination, stress response and mitochondrial processes, but the most robust cluster (30%) was assigned to cytoskeleton and sarcomere organization. Taken together, these findings indicate a possible novel function of GNE in the muscle filamentous apparatus that could be involved in the pathogenesis of HIBM.     

水稻SBP基因家族的生物信息学分析(英文)

SQUAMOSA PROMOTER BINDING PROTEIN-LIKE(SBP)转录因子家族是植物特有的一类转录因子。本文确定了20水稻基因组上编码的SBP基因。通过分类,染色体定位,保守区确定,亲缘关系,以及水稻SBP家族中的重复基因及该家族成员形成蛋白二聚体的可能性进行分析,其次利用了Affymetrix水稻基因组芯片数据,对所有这些基因的表达谱进行了分析。结果表明,水稻SBP基因在花和种子的发育过程中可能发挥重要作用,而其对环境胁迫却不敏感。这对进一步研究SBP的功能提供了有价值的线索和思路。     

A quantitative proteomic analysis of biofilm adaptation by the periodontal pathogen Tannerella forsythia

Tannerella forsythia is a Gram‐negative anaerobe that is one of the most prominent inhabitants of the sub‐gingival plaque biofilm, which is crucial for causing periodontitis. We have used iTRAQ proteomics to identify and quantify alterations in global protein expression of T. forsythia during growth in a biofilm. This is the first proteomic study concentrating on biofilm growth in this key periodontal pathogen, and this study has identified several changes in protein expression. Moreover, we introduce a rigorous statistical method utilising peptide‐level intensities of iTRAQ reporters to determine which proteins are significantly regulated. In total, 348 proteins were identified and quantified with the expression of 44 proteins being significantly altered between biofilm and planktonic cells. We identified proteins from all cell compartments, and highlighted a marked upregulation in the relative abundances of predicted outer membrane proteins in biofilm cells. These included putative transport systems and the T. forsythia S‐layer proteins. These data and our finding that the butyrate production pathway is markedly downregulated in biofilms indicate possible alterations in host interaction capability. We also identified upregulation of putative oxidative stress response proteins, and showed that biofilm cells are 10 to 20 fold more resistant to oxidative stress. This may represent an important adaptation of this organism to prolonged persistence and immune evasion in the oral cavity.     

Detecting differential and correlated protein expression in label-free shotgun proteomics

Recent studies have revealed a relationship between protein abundance and sampling statistics, such as sequence coverage, peptide count, and spectral count, in label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) shotgun proteomics. The use of sampling statistics offers a promising method of measuring relative protein abundance and detecting differentially expressed or coexpressed proteins. We performed a systematic analysis of various approaches to quantifying differential protein expression in eukaryotic Saccharomyces cerevisiae and prokaryotic Rhodopseudomonas palustris label-free LC-MS/MS data. First, we showed that, among three sampling statistics, the spectral count has the highest technical reproducibility, followed by the less-reproducible peptide count and relatively nonreproducible sequence coverage. Second, we used spectral count statistics to measure differential protein expression in pairwise experiments using five statistical tests: Fisher's exact test, G-test, AC test, t-test, and LPE test. Given the S. cerevisiae data set with spiked proteins as a benchmark and the false positive rate as a metric, our evaluation suggested that the Fisher's exact test, G-test, and AC test can be used when the number of replications is limited (one or two), whereas the t-test is useful with three or more replicates available. Third, we generalized the G-test to increase the sensitivity of detecting differential protein expression under multiple experimental conditions. Out of 1622 identified R. palustris proteins in the LC-MS/MS experiment, the generalized G-test detected 1119 differentially expressed proteins under six growth conditions. Finally, we studied correlated expression of these 1119 proteins by analyzing pairwise expression correlations and by delineating protein clusters according to expression patterns. Through pairwise expression correlation analysis, we demonstrated that proteins co-located in the same operon were much more strongly coexpressed than those from different operons. Combining cluster analysis with existing protein functional annotations, we identified six protein clusters with known biological significance. In summary, the proposed generalized G-test using spectral count sampling statistics is a viable methodology for robust quantification of relative protein abundance and for sensitive detection of biologically significant differential protein expression under multiple experimental conditions in label-free shotgun proteomics.