Analysis of interaction partners for eukaryotic translation elongation factor 1A M-domain by functional proteomics

The eukaryotic translation elongation factor 1A (eEF1A), besides to its canonical role in protein synthesis, is also involved in several other cellular processes, depending on changes in cellular location, cell type, concentration of ligands, substrates or cofactors. Therefore eEF1A is a moonlighting protein that participates to a network of molecular interactions involving its structural domains. Since the identification of novel protein–protein interactions represents important tasks in post-genomic era, the interactome of eEF1A1 M-domain was investigated by using a proteomic approach. To this purpose, the eEF1A1 M-domain was fused with glutathione-S-transferase (GST) and Strep-tag (ST) at it’s N- and C-terminal, respectively. The recombinant protein (GST-M-ST) was purified and incubated with a mouse embryo lysate by applying an affinity chromatography strategy. The interacting proteins were separated by SDS-PAGE and identified by peptide mass fingerprinting using MALDI-TOF mass spectrometry. Besides the known partners, the pool of interacting proteins contained sorbin, a polypeptide of 153 amino acids present in SH3 domain-containing adaptor proteins, such as SORBS2. This interaction was also assessed by Western blot on immunoprecipitate from mouse embryo or H1355 cell lysates with anti-eEF1A or anti-SORBS2 antibodies and on eEF1A1-His pull-down from H1355 cell lysate with antibody anti-SORBS2. Furthermore, the interaction between eEF1A and SORBS2 was also confirmed by confocal microscopy and FRET analysis. Interestingly, a co-localization of SORBS2 and eEF1A was evidenced at level of plasma membrane, thus suggesting the involvement of eEF1A1 in novel key signal transduction complexes.     

应用蛋白组学方法筛选和鉴定乙型肝炎病毒PreS1结合蛋白

前S1蛋白（PreS1）在乙型肝炎病毒与宿主的相互作用中起至关重要的作用．为筛选乙型肝炎病毒PreS1结合蛋白,进一步探讨其在病毒感染过程中的作用,原核表达、纯化了PreS1-谷胱甘肽-S-转移酶（glutathione-S-transferase,GST）融合蛋白,利用此蛋白与HepG2细胞裂解液进行Pull-down实验,其产物进行双向凝胶电泳分离. 结果发现2个PreS1特异结合蛋白,经质谱鉴定为分子伴侣蛋白——葡萄糖调节蛋白78(GRP78)和葡萄糖调节蛋白75(GRP75)．通过免疫共沉淀和Western印迹分析证实,PreS1与GRP75之间存在相互作用．实验结果表明,GRP75为新发现乙型肝炎病毒PreS1特异结合蛋白,其与PreS1结合后的生理功能以及在HBV感染过程中的作用值得深入研究．     

Identification of proteins interacting with lactate dehydrogenase in claw muscle of the porcelain crab Petrolisthes cinctipes

Biochemical adaptation of enzymes involves conservation of activity, stability and affinity across a wide range of intracellular and environmental conditions. Enzyme adaptation by alteration of primary structure is well known, but the roles of protein–protein interactions in enzyme adaptation are less well understood. Interspecific differences in thermal stability of lactate dehydrogenase (LDH) in porcelain crabs (genus Petrolisthes) are related to intrinsic differences among LDH molecules and by interactions with other stabilizing proteins. Here, we identified proteins that interact with LDH in porcelain crab claw muscle tissue using co-immunoprecipitation, and showed LDH exists in high molecular weight complexes using size exclusion chromatography and Western blot analyses. Co-immunoprecipitated proteins were separated using 2D SDS PAGE and analyzed by LC/ESI using peptide MS/MS. Peptide MS/MS ions were compared to an EST database for Petrolisthes cinctipes to identify proteins. Identified proteins included cytoskeletal elements, glycolytic enzymes, a phosphagen kinase, and the respiratory protein hemocyanin. Our results support the hypothesis that LDH interacts with glycolytic enzymes in a metabolon structured by cytoskeletal elements that may also include the enzyme for transfer of the adenylate charge in glycolytically produced ATP. Those interactions may play specific roles in biochemical adaptation of glycolytic enzymes.     

Improved two-dimensional reversed phase-reversed phase LC-MS/MS approach for identification of peptide-protein interactions

Quantitative mass spectrometry (MS) in combination with affinity purification approaches allows for an unbiased study of protein-protein and peptide-protein interactions. In shotgun approaches that are based on proteolytic digestion of complex protein mixtures followed by two-dimensional liquid-phase chromatography, the separation effort prior to MS analysis is focused on tryptic peptides. Here we developed an improved offline 2-D liquid chromatography-MS/MS approach for the identification and quantification of binding proteins utilizing reversed-phase capillary columns with acidic acetonitrile-containing eluents in both chromatographic dimensions. A specific fractionation scheme was applied in order to obtain samples with evenly distributed peptides and to fully utilize the separation space in the second dimension nanoLC-MS/MS. We report peptide-protein interaction studies to identify phosphorylation-dependent binding partners of the T cell adapter protein ADAP. The results of the SILAC-based pull-down experiments show this approach is well suited for distinguishing phosphorylation-specific interactions from unspecific binding events. The data provide further evidence that phosphorylated Tyr 595 of ADAP may serve as a direct binding site for the SH2 domains of the T cell proteins SLP76 and NCK. From a technical point of view we provide a detailed protocol for an offline 2-D RP-RP LC-MS/MS method that offers a robust and time-saving alternative for quantitative interactome analysis.     

WI-PHI: a weighted yeast interactome enriched for direct physical interactions

How is the yeast proteome wired? This important question, central in yeast systems biology, remains unanswered in spite of the abundance of protein interaction data from high-throughput experiments. Unfortunately, these large-scale studies show striking discrepancies in their results and coverage such that biologists scrutinizing the "interactome" are often confounded by a mix of established physical interactions, functional associations, and experimental artifacts. This stimulated early attempts to integrate the available information and produce a list of protein interactions ranked according to an estimated functional reliability. The recent publication of the results of two large protein interaction experiments and the completion of a comprehensive literature curation effort has more than doubled the available information on the wiring of the yeast proteome. This motivates a fresh approach to the compilation of a yeast interactome based purely on evidence of physical interaction. We present a procedure exploiting both heuristic and probabilistic strategies to draft the yeast interactome taking advantage of various heterogeneous data sources: application of tandem affinity purification coupled to MS (TAP-MS), large-scale yeast two-hybrid studies, and results of small-scale experiments stored in dedicated databases. The end result is WI-PHI, a weighted network encompassing a large majority of yeast proteins.     

Unraveling protein interaction networks with near-optimal efficiency

The functional characterization of genes and their gene products is the main challenge of the genomic era. Examining interaction information for every gene product is a direct way to assemble the jigsaw puzzle of proteins into a functional map. Here we demonstrate a method in which the information gained from pull-down experiments, in which single proteins act as baits to detect interactions with other proteins, is maximized by using a network-based strategy to select the baits. Because of the scale-free distribution of protein interaction networks, we were able to obtain fast coverage by focusing on highly connected nodes (hubs) first. Unfortunately, locating hubs requires prior global information about the network one is trying to unravel. Here, we present an optimized 'pay-as-you-go' strategy that identifies highly connected nodes using only local information that is collected as successive pull-down experiments are performed. Using this strategy, we estimate that 90% of the human interactome can be covered by 10,000 pull-down experiments, with 50% of the interactions confirmed by reciprocal pull-down experiments.     

Interactions of B-class complex proteins involved in tepal development in Phalaenopsis orchid

In our previous studies, we identified four DEFICIENS (DEF)-like genes and one GLOBOSA (GLO)-like gene involved in floral organ development in Phalaenopsis equestris. Revealing the DNA binding properties and protein-protein interactions of these floral homeotic MADS-box protein complexes (PeMADS) in orchids is crucial for the elucidation of the unique orchid floral morphogenesis. In this study, the interactome of B-class PeMADS proteins was assayed by the yeast two-hybrid system (Y2H) and glutathione S-transferase (GST) pull-down assays. Furthermore, the DNA binding activities of these proteins were assessed by using electrophoretic mobility shift assay (EMSA). All four DEF-like PeMADS proteins interacted individually with the GLO-like PeMADS6 in Y2H assay, yet with different strengths of interaction. Generally, the PeMADS3/PeMADS4 lineage interacted more strongly with PeMADS6 than the PeMADS2/PeMADS5 lineage did. In addition, independent homodimer formation for both PeMADS4 (DEF-like) and PeMADS6 (GLO-like) was detected. The protein-protein interactions between pairs of PeMADS proteins were further confirmed by using a GST pull-down assay. Furthermore, both the PeMADS4 homodimer and the PeMADS6 homodimer/homomultimer per se were able to bind to the MADS-box protein-binding motif CArG. The heterodimeric complexes PeMADS2-PeMADS6, PeMADS4-PeMADS6 and PeMADS5-PeMADS6 showed CArG binding activity. Taken together, these results suggest that various complexes formed among different combinations of the five B-class PeMADS proteins may increase the complexity of their regulatory functions and thus specify the molecular basis of whorl morphogenesis and combinatorial interactions of floral organ identity genes in orchids.     

Analysis of the cGMP/cAMP interactome using a chemical proteomics approach in mammalian heart tissue validates sphingosine kinase type 1-interacting protein as a genuine and highly abundant AKAP

The cyclic nucleotide monophosphates cAMP and cGMP play an essential role in many signaling pathways. To analyze which proteins do interact with these second messenger molecules, we developed a chemical proteomics approach using cAMP and cGMP immobilized onto agarose beads, via flexible linkers in the 2- and 8-position of the nucleotide. Optimization of the affinity pull-down procedures in lysates of HEK293 cells revealed that a large variety of proteins could be pulled down specifically. Identification of these proteins by mass spectrometry showed that many of these proteins were indeed genuine cAMP or cGMP binding proteins. However, additionally many of the pulled-down proteins were more abundant AMP/ADP/ATP, GMP/GDP/GTP, or general DNA/RNA binding proteins. Therefore, a sequential elution protocol was developed, eluting proteins from the beads using solutions containing ADP, GDP, cGMP, and/or cAMP, respectively. Using this protocol, we were able to sequentially and selectively elute ADP, GDP, and DNA binding proteins. The fraction left on the beads was further enriched, for cAMP/cGMP binding proteins. Transferring this protocol to the analysis of the cGMP/cAMP "interactome" in rat heart ventricular tissue enabled the specific pull-down of known cAMP/cGMP binding proteins such as cAMP and cGMP dependent protein kinases PKA and PKG, several phosphodiesterases and 6 AKAPs, that interact with PKA. Among the latter class of proteins was the highly abundant sphingosine kinase type1-interating protein (SKIP), recently proposed to be a potential AKAP. Further bioinformatics analysis endorses that SKIP is indeed a genuine PKA interacting protein, which is highly abundant in heart ventricular tissue.     

Ampicillin/penicillin-binding protein interactions as a model drug-target system to optimize affinity pull-down and mass spectrometric strategies for target and pathway identification

The identification and validation of the targets of active compounds identified in cell-based assays is an important step in preclinical drug development. New analytical approaches that combine drug affinity pull-down assays with mass spectrometry (MS) could lead to the identification of new targets and druggable pathways. In this work, we investigate a drug-target system consisting of ampicillin- and penicillin-binding proteins (PBPs) to evaluate and compare different amino-reactive resins for the immobilization of the affinity compound and mass spectrometric methods to identify proteins from drug affinity pull-down assays. First, ampicillin was immobilized onto various amino-reactive resins, which were compared in the ampicillin-PBP model with respect to their nonspecific binding of proteins from an Escherichia coli membrane extract. Dynal M-270 magnetic beads were chosen to further study the system as a model for capturing and identifying the targets of ampicillin, PBPs that were specifically and covalently bound to the immobilized ampicillin. The PBPs were identified, after in situ digestion of proteins bound to ampicillin directly on the beads, by using either one-dimensional (1-D) or two-dimensional (2-D) liquid chromatography (LC) separation techniques followed by tandem mass spectrometry (MS/MS) analysis. Alternatively, an elution with N-lauroylsarcosine (sarcosyl) from the ampicillin beads followed by in situ digestion and 2-D LC-MS/MS analysis identified proteins potentially interacting noncovalently with the PBPs or the ampicillin. The in situ approach required only little time, resources, and sample for the analysis. The combination of drug affinity pull-down assays with in situ digestion and 2-D LC-MS/MS analysis is a useful tool in obtaining complex information about a primary drug target as well as its protein interactors.     

Detection of Rap1A as a yessotoxin binding protein from blood cell membranes

As is the case with other ladder-shaped polyether compounds, yessotoxin is produced by marine dinoflagellate, and possesses various biological activities beside potent toxicity. To gain a better understanding of the molecular mechanism for high affinity between these polyethers and their binding proteins, which accounts for their powerful biological activities, we searched for its binding proteins from human blood cells by using the biotin-conjugate of desulfated YTX as a ligand. By a protein pull-down protocol with use of streptavidin beads, a band of specifically binding proteins was detected in SDS-PAGE. HPLC-tandem mass spectrometry (MS/MS) indicated that Rap 1A, one of Ras superfamily proteins, binds to the YTX-linked resins. Western blotting and surface plasmon resonance experiments further confirmed that Rap1A specifically binds to YTX with the K(D) value around 4 μM.     

抑癌蛋白PTEN的原核表达、抑癌活性研究和抗体制备

PTEN是具有蛋白质和酯类双重特异性磷酸酶活性的抑癌蛋白,在肿瘤治疗中具有广阔的应用前景。鉴于原核表达PTEN蛋白并用于抑癌实验的研究尚未见报道,因此尝试利用大肠杆菌表达有活性的PTEN蛋白,检测其抑癌效果。利用本室克隆的PTEN基因cDNA和原核表达载体pET44a( )分别构建带6×His和Nus标签的两种诱导型原核融合表达载体pETPTEN和pETNusPTEN,在不同的大肠杆菌表达宿主BL21(DE3)(简写为BL)和Rosettagami(DE3)pLysS(简写为RG)中诱导表达。SDSPAGE和Westernblot检测表明:在可溶性组分和包涵体中均含有目的蛋白,在BL中目的蛋白的表达量较高(18.7%)而在RG中可溶性蛋白的比例较高(6.6%)。经纯化和包涵体蛋白复性处理后,重组融合蛋白经Chariot转运入小鼠实体瘤及人前列腺癌DU145细胞。抑癌实验表明:与对照组相比,重组PTEN蛋白对小鼠实体瘤的生长抑制率为58.76%;对癌细胞DU145的生长抑制率可达46.16%;并可导致明显的G0G1期阻滞,其中在宿主RG中表达的重组蛋白抑癌效果明显高于BL宿主中表达的目的蛋白。证实在原核系统中表达的重组PTEN蛋白具有抑癌活性,同时制备了PTEN的高效价腹水多抗,为深入研究PTEN蛋白在癌症治疗中的应用打下了良好的基础。     

Pten^＋/＋MEFs与Pten^-/-MEFs细胞系的差异表达蛋白质组分析

目的：研究PTEN缺失细胞的蛋白表达规律。方法：用双向电泳技术比较Pten^＋/＋MEFs与Pten^-/-EFs细胞的蛋白表达差异;用基质辅助激光解吸／电离飞行时间质谱（MALDI-TOF-MS）对差异蛋白进行质谱分析;用肽质量指纹图谱检索数据库对差异蛋白进行鉴定;用Northern印迹和Western印迹验证蛋白的差异表达。结果：与Pten^＋/＋MEFs细胞相比。Pten^-/-MEFs细胞有明显的差异性蛋白表达谱,Pten^-/-MEFs细胞中表达下降的蛋白有铜锌超氧化物歧化酶、过氧化物氧化还原酶5和6等,表达增加的蛋白有低分子量蛋白酪氨酸磷酸酶和丝切蛋白（cofflin）1。结论：PTEN的缺失引起细胞内多种蛋白表达改变,这些表达改变的蛋白可能与PTEN缺失后细胞癌变相关。     

The Identification of Novel Protein-Protein Interactions in Liver that Affect Glucagon Receptor Activity

Glucagon regulates glucose homeostasis by controlling glycogenolysis and gluconeogenesis in the liver. Exaggerated and dysregulated glucagon secretion can exacerbate hyperglycemia contributing to type 2 diabetes (T2D). Thus, it is important to understand how glucagon receptor (GCGR) activity and signaling is controlled in hepatocytes. To better understand this, we sought to identify proteins that interact with the GCGR to affect ligand-dependent receptor activation. A Flag-tagged human GCGR was recombinantly expressed in Chinese hamster ovary (CHO) cells, and GCGR complexes were isolated by affinity purification (AP). Complexes were then analyzed by mass spectrometry (MS), and protein-GCGR interactions were validated by co-immunoprecipitation (Co-IP) and Western blot. This was followed by studies in primary hepatocytes to assess the effects of each interactor on glucagon-dependent glucose production and intracellular cAMP accumulation, and then in immortalized CHO and liver cell lines to further examine cell signaling. Thirty-three unique interactors were identified from the AP-MS screening of GCGR expressing CHO cells in both glucagon liganded and unliganded states. These studies revealed a particularly robust interaction between GCGR and 5 proteins, further validated by Co-IP, Western blot and qPCR. Overexpression of selected interactors in mouse hepatocytes indicated that two interactors, LDLR and TMED2, significantly enhanced glucagon-stimulated glucose production, while YWHAB inhibited glucose production. This was mirrored with glucagon-stimulated cAMP production, with LDLR and TMED2 enhancing and YWHAB inhibiting cAMP accumulation. To further link these interactors to glucose production, key gluconeogenic genes were assessed. Both LDLR and TMED2 stimulated while YWHAB inhibited PEPCK and G6Pase gene expression. In the present study, we have probed the GCGR interactome and found three novel GCGR interactors that control glucagon-stimulated glucose production by modulating cAMP accumulation and genes that control gluconeogenesis. These interactors may be useful targets to control glucose homeostasis in T2D.     

Interactomes of SARS‐CoV‐2 and human coronaviruses reveal host factors potentially affecting pathogenesis

Host–virus protein–protein interactions play key roles in the life cycle of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). We conducted a comprehensive interactome study between the virus and host cells using tandem affinity purification and proximity‐labeling strategies and identified 437 human proteins as the high‐confidence interacting proteins. Further characterization of these interactions and comparison to other large‐scale study of cellular responses to SARS‐CoV‐2 infection elucidated how distinct SARS‐CoV‐2 viral proteins participate in its life cycle. With these data mining, we discovered potential drug targets for the treatment of COVID‐19. The interactomes of two key SARS‐CoV‐2‐encoded viral proteins, NSP1 and N, were compared with the interactomes of their counterparts in other human coronaviruses. These comparisons not only revealed common host pathways these viruses manipulate for their survival, but also showed divergent protein–protein interactions that may explain differences in disease pathology. This comprehensive interactome of SARS‐CoV‐2 provides valuable resources for the understanding and treating of this disease.     

应用蛋白质组学方法初步筛选与鼻咽癌放射敏感相关的蛋白

目的:通过筛选放射敏感性不同的鼻咽癌细胞中差异表达蛋白,以发现与鼻咽癌放射敏感相关的蛋白。方法:放射处理并结合流式细胞术检测及比较5-8F和6-10B细胞的放射敏感性。提取细胞总蛋白,进行双向凝胶电泳、MALDI-TOF肽质指纹图分析、质谱数据的蛋白质库搜寻鉴定。应用Western Blot检测细胞中蛋白质表达。应用免疫组织化学方法检测鼻咽癌组织中相关蛋白的表达。结果:双向凝胶电泳后对胶上的部分分辨较好的差异蛋白质点进行肽质谱指纹图分析和鉴定,在两种细胞中差异表达最为显著的蛋白质有9个。Western Blot证实CK19和P73在5-8F和6-10B表达与蛋白质组结果一致。P73在鼻咽癌放射敏感组和不敏感组中的表达阳性率分别为90%、57.5%,存在显著性差异。结论:放射敏感性不同的鼻咽癌细胞中存在一些差异表达蛋白,这些蛋白可能与鼻咽癌放射敏感性有关,其中P73可能成为放射敏感性预测的侯选标志物。     

IsoformResolver: A peptide-centric algorithm for protein inference

When analyzing proteins in complex samples using tandem mass spectrometry of peptides generated by proteolysis, the inference of proteins can be ambiguous, even with well-validated peptides. Unresolved questions include whether to show all possible proteins vs a minimal list, what to do when proteins are inferred ambiguously, and how to quantify peptides that bridge multiple proteins, each with distinguishing evidence. Here we describe IsoformResolver, a peptide-centric protein inference algorithm that clusters proteins in two ways, one based on peptides experimentally identified from MS/MS spectra, and the other based on peptides derived from an in silico digest of the protein database. MS/MS-derived protein groups report minimal list proteins in the context of all possible proteins, without redundantly listing peptides. In silico-derived protein groups pull together functionally related proteins, providing stable identifiers. The peptide-centric grouping strategy used by IsoformResolver allows proteins to be displayed together when they share peptides in common, providing a comprehensive yet concise way to organize protein profiles. It also summarizes information on spectral counts and is especially useful for comparing results from multiple LC-MS/MS experiments. Finally, we examine the relatedness of proteins within IsoformResolver groups and compare its performance to other protein inference software.     

Quantitative protein expression analysis of CLL B cells from mutated and unmutated IgV(H) subgroups using acid-cleavable isotope-coded affinity tag reagents

Relative protein expression levels were compared in leukemic B cells from two patients with chronic lymphocytic leukemia (CLL) having either mutated (M-CLL) or unmutated (UM-CLL) immunoglobulin variable heavy chain genes (IgV(H)). Cells were separated into cytosol and membrane protein fractions then labeled with acid-cleavable ICAT reagents (cICAT). Labeled proteins were digested with trypsin then subjected to SCX and affinity chromatography followed by LC-ESI-MS/MS analysis on a linear ion trap mass spectrometer. A total of 9 proteins from the cytosol fraction and 4 from the membrane fraction showed a 3-fold or greater difference between M-CLL and UM-CLL and a subset of these were examined by Western blot where results concurred with cICAT abundance ratios. The abundance of one of the proteins in particular, the mitochondrial membrane protein cytochrome c oxidase subunit COX G was examined in 6 M-CLL and 6 UM-CLL patients using western blot and results showed significantly greater levels (P < 0.001) in M-CLL patients vs UM-CLL patients. These results demonstrate that stable isotope labeling and mass spectrometry can complement 2D gel electrophoresis and gene microarray technologies for identifying putative and perhaps unique prognostic markers in CLL.     

Analysis of the Arabidopsis cytosolic ribosome proteome provides detailed insights into its components and their post-translational modification

Finding gene-specific peptides by mass spectrometry analysis to pinpoint gene loci responsible for particular protein products is a major challenge in proteomics especially in highly conserved gene families in higher eukaryotes. We used a combination of in silico approaches coupled to mass spectrometry analysis to advance the proteomics insight into Arabidopsis cytosolic ribosomal composition and its post-translational modifications. In silico digestion of all 409 ribosomal protein sequences in Arabidopsis defined the proportion of theoretical gene-specific peptides for each gene family and highlighted the need for low m/z cutoffs of MS ion selection for MS/MS to characterize low molecular weight, highly basic ribosomal proteins. We undertook an extensive MS/MS survey of the cytosolic ribosome using trypsin and, when required, chymotrypsin and pepsin. We then used custom software to extract and filter peptide match information from Mascot result files and implement high confidence criteria for calling gene-specific identifications based on the highest quality unambiguous spectra matching exclusively to certain in silico predicted gene- or gene family-specific peptides. This provided an in-depth analysis of the protein composition based on 1446 high quality MS/MS spectra matching to 795 peptide sequences from ribosomal proteins. These identified peptides from five gene families of ribosomal proteins not identified previously, providing experimental data on 79 of the 80 different types of ribosomal subunits. We provide strong evidence for gene-specific identification of 87 different ribosomal proteins from these 79 families. We also provide new information on 30 specific sites of co- and post-translational modification of ribosomal proteins in Arabidopsis by initiator methionine removal, N-terminal acetylation, N-terminal methylation, lysine N-methylation, and phosphorylation. These site-specific modification data provide a wealth of resources for further assessment of the role of ribosome modification in influencing translation in Arabidopsis.