Protein feature based identification of cell cycle regulated proteins in yeast

DNA microarrays have been used extensively to identify cell cycle regulated genes in yeast; however, the overlap in the genes identified is surprisingly small. We show that certain protein features can be used to distinguish cell cycle regulated genes from other genes with high confidence (features include protein phosphorylation, glycosylation, subcellular location and instability/degradation). We demonstrate that co-expressed, periodic genes encode proteins which share combinations of features, and provide an overview of the proteome dynamics during the cycle. A large set of novel putative cell cycle regulated proteins were identified, many of which have no known function.     

利用cDNA-AFLP技术分析龙眼子叶胚基因表达差异

分别提取'红核子'龙眼(Dimdcarpus longan Lour.)谢花后35 d(早期)和50 d(晚期)子叶胚RNA,建立cDNA-AFLP分析体系,获得指纹图谱.对41个差异片段回收克隆和序列分析,表明其中21个与已知功能基因具有高度同源性,这些基因的功能主要涉及侧牛器官的离轴极性、糖酵解、能最代谢、离子转运、细胞壁伸长、细胞周期调控、RNA转录、RNA翻译和调控、蛋白磷酸化调控和降解、信号转导等;其余片段与已知基因的同源性较低或没有.     

Proteomic characterization of the greening process in rice seedlings using the MS spectral intensity-based label free method

Illumination-induced greening in dark-grown plants is one of the most dramatic developmental processes known in plants. In our current study, we characterized the greening process of rice seedlings using comparative proteome analysis. We identified 886 different proteins in both whole cell lysates of illuminated and nonilluminated rice shoots and performed comparative proteome analysis based on the MS spectral intensities obtained for unique peptides from respective proteins. Furthermore, the changes in the levels of individual proteins were then compared with those of the corresponding mRNAs. The results revealed well-coordinated increases in the enzymes involved in the Calvin cycle at both the protein and mRNA levels during greening, and that the changes at the mRNA level precede those at the protein level. Although a much lower effect of illumination was found on the enzymes associated with glycolysis and the TCA cycle, coordinated increases during greening were evident for the enzymes involved in photorespiration and nitrogen assimilation as well as the components of the chloroplastic translational machinery. These results thus define the differential regulation of distinct biological systems during greening in rice and demonstrate the usefulness of comprehensive and comparative proteome analysis for the characterization of biological processes in plant cells.     

Analysis of the budding yeast pH 4–7 proteome in meiosis

Meiosis, the developmental programme generating haploid gametes from diploid precursors, requires two cell divisions and many innovations. In budding yeast, a large number of genes are expressed exclusively during meiosis while others are repressed compared to vegetative growth. Microarray analysis has shown that gene expression during meiosis is highly regulated, and has been used to classify yeast genes according to meiotic temporal expression pattern. In this study, we have begun to investigate the kinetics of meiotic protein expression using a proteomics approach. 2‐D DIGE was used to characterise the temporal protein expression patterns of the budding yeast pH 4–7 proteome in meiosis. More than 1400 meiotic protein spots were visualised and at least 63 spots were temporally regulated during meiosis in a statistically significant manner. Gel spots with significant expression changes were excised and 26 unique proteins were identified using LC‐MS/MS. The identified proteins could be classified into functional categories and the genes encoding a number of these were previously shown to be involved in yeast sporulation and meiosis. This data set was used to assemble the first differential 2‐D PAGE map of budding yeast meiosis, which can be accessed through a web server. This work represents one of the first quantitative proteomic analyses of meiosis in yeast and will provide a valuable resource for future investigations.     

Identification of phytochrome-interacting protein candidates in Arabidopsis thaliana by co-immunoprecipitation coupled with MALDI-TOF MS

Phytochrome-interacting proteins have been extensively studied to elucidate light-signaling pathway in plants. However, most of these proteins have been identified by yeast two-hybrid screening using the C-terminal domain of phytochromes. We used co-immunoprecipitation followed by proteomic analysis in plant cell extracts in an attempt to screen for proteins interacting either directly or indirectly with native holophytochromes including the N-terminal domain as well as C-terminal domain. A total of 16 protein candidates were identified, and were selected from 2-DE experiments. Using MALDI-TOF MS analysis, 7 of these candidates were predicted to be putative phytochrome A-interacting proteins and the remaining ones to be phytochrome B-interacting proteins. Among these putative interacting proteins, protein phosphatase type 2C (PP2C) and a 66-kDa protein were strong candidates as novel phytochrome-interacting proteins, as knockout mutants for the genes encoding these two proteins had impaired light-signaling functions. A transgenic knockout Arabidopsis study showed that a 66-kDa protein candidate regulates hypocotyl elongation in a light-specific manner, and altered cotyledon development under white light during early developmental stages. The PP2C knockout plants also displayed light-specific changes in hypocotyl elongation. These results suggest that co-immunoprecipitation, followed by proteomic analysis, is a useful method for identifying novel interacting proteins and determining real protein-protein interactions in the cell.     

The Arabidopsis SPIKE1 gene is required for normal cell shape control and tissue development

Regulated growth and cell shape control are fundamentally important to the function of plant cells, tissues, and organs. The signal transduction cascades that control localized growth and cell shape, however, are not known. To better understand the relationship between cytoskeletal organization, organelle positioning, and regulated vesicle transport, we conducted a forward genetic screen to identify genes that regulate cytoskeletal organization in plants. Because of the distinct requirements for microtubules and actin filaments during leaf trichome development, a trichome-based morphology screen is an efficient approach to identify genes that affect cytoplasmic organization. The seedling lethal spike1 mutant was identified based on trichome, cotyledon, and leaf-shape defects. The predicted SPIKE1 protein shares amino acid identity with a large family of adapter proteins present in humans, flies, and worms that integrate extracellular signals with cytoskeletal reorganization. Both the trichome phenotype and immunolocalization data suggest that SPIKE1 also is involved in cytoskeletal reorganization. The assembly of laterally clustered foci of microtubules and polarized growth are early events in cotyledon development, and both processes are misregulated in spike1 epidermal cells.     

Cell wall proteomic of Brachypodium distachyon grains: A focus on cell wall remodeling proteins

Cell walls play key roles during plant development. Following their deposition into the cell wall, polysaccharides are continually remodeled according to the growth stage and stress environment to accommodate cell growth and differentiation. To date, little is known concerning the enzymes involved in cell wall remodeling, especially in gramineous and particularly in the grain during development. Here, we investigated the cell wall proteome of the grain of Brachypodium distachyon. This plant is a suitable model for temperate cereal crops. Among the 601 proteins identified, 299 were predicted to be secreted. These proteins were distributed into eight functional classes; the class of proteins that act on carbohydrates was the most highly represented. Among these proteins, numerous glycoside hydrolases were found. Expansins and peroxidases, which are assumed to be involved in cell wall polysaccharide remodeling, were also identified. Approximately half of the proteins identified in this study were newly discovered in grain and were not identified in the previous proteome analysis conducted using the culms and leaves of B. distachyon. Therefore, the data obtained from all organs of B. distachyon infer a global cell wall proteome consisting of 460 proteins. At present, this is the most extensive cell wall proteome of a monocot species.     

A two-dimensional proteome map of maize endosperm

We have established a proteome reference map for maize (Zea mays L.) endosperm by means of two-dimensional gel electrophoresis and protein identification with LC-MS/MS analysis. This investigation focussed on proteins in major spots in a 4-7 pI range and 10-100 kDa M(r) range. Among the 632 protein spots processed, 496 were identified by matching against the NCBInr and ZMtuc-tus databases (using the SEQUEST software). Forty-two per cent of the proteins were identified against maize sequences, 23% against rice sequences and 21% against Arabidopsis sequences. Identified proteins were not only cytoplasmic but also nuclear, mitochondrial or amyloplastic. Metabolic processes, protein destination, protein synthesis, cell rescue, defense, cell death and ageing are the most abundant functional categories, comprising almost half of the 632 proteins analyzed in our study. This proteome map constitutes a powerful tool for physiological studies and is the first step for investigating the maize endosperm development.     

Proteome analysis of human lung squamous carcinoma

Few lung cancer-specific molecular markers have been established in regard of "early-stage" diagnosis and prognosis. In this study the proteome analysis of human lung squamous carcinoma (hLSC) was carried out using two strategies to explore the carcinogenic mechanisms and identify its molecular markers more directly and comprehensively. Comparative proteome analysis on 20 hLSC tissues and paired normal bronchial epithelial tissues revealed 76 differential proteins, among which 68 proteins were identified by PMF. The identified proteins fell into three categories: oncoproteins, cell cycle regulators and signaling molecules. To validate the identified differential proteins, the expressions levels of three differential proteins mdm2, c-jun and EGFR were determined by immunohistochemical staining and immunoblots. The results verified proteome analysis results. Serological proteome analysis (SERPA) of ten hLSC tissues was performed to identify the tumor-associated antigens. The results revealed 36 +/- 8 differential proteins reactive with patients' autologous sera, of which 14 proteins were identified. Six of the 14 proteins, alpha enolase, pre-B cell-enhancing factor precursor, triosephosphate isomerase, phosphoglycerate mutase 1, fructose-bisphosphate aldolase A, and guanine nucleotide-binding protein beta subunit-like protein, were also up-regulated in hLSCs in the comparative proteomic study, which suggests potential application of these 6 hLSC-associated antigens in diagnosis and therapy of hLSC.     

Proteome analysis of programmed cell death and defense signaling using the rice lesion mimic mutant cdr2

We have previously identified three lesion-mimic mutants, cell death and resistance (cdr), in rice. These mutants induce a series of defense responses, including expression of defense-related genes and high accumulation of phytoalexins, indicating that the cdr mutants are useful materials to study programmed cell death and defense signaling in rice. Here, we carried out a proteome analysis of the cdr2 mutant. Total proteins prepared from the wild type and the cdr2 mutant at three different stages of lesion formation were compared using two-dimensional electrophoresis. We found a total of 37 proteins that were differentially expressed between cdr2 and wild type. Among them, 28 spots were up-regulated and nine were down-regulated in the cdr2 mutant. All the protein spots were identified by mass spectrometric analysis. These differentially regulated proteins included defense-related proteins. In addition, 27 proteins were classified as metabolic enzymes, suggesting that the programmed cell death that occurs in the cdr2 mutant is associated with active metabolic changes. Our study shows that proteome analysis is a useful approach to study programmed cell death and defense signaling in plants.