Copper stress‐induced changes in leaf soluble proteome of Cu‐sensitive and tolerant Agrostis capillaris L. populations

Changes in leaf soluble proteome were explored in 3‐month‐old plants of metallicolous (M) and nonmetallicolous (NM) Agrostis capillaris L. populations exposed to increasing Cu concentrations (1–50 μM) to investigate molecular mechanisms underlying plant responses to Cu excess and tolerance of M plants. Plants were cultivated on perlite (CuSO₄ spiked‐nutrient solution). Soluble proteins, extracted by the trichloroacetic acid/acetone procedure, were separated with 2‐DE (linear 4–7 pH gradient). Analysis of CCB‐stained gels (PDQuest) reproducibly detected 214 spots, and 64 proteins differentially expressed were identified using LC‐MS/MS. In both populations, Cu excess impacted both light‐dependent (OEE, cytochrome b6‐f complex, and chlorophyll a‐b binding protein), and ‐independent (RuBisCO) photosynthesis reactions, more intensively in NM leaves (ferredoxin‐NADP reductase and metalloprotease FTSH2). In both populations, upregulation of isocitrate dehydrogenase and cysteine/methionine synthases respectively suggested increased isocitrate oxidation and enhanced need for S‐containing amino‐acids, likely for chelation and detoxification. In NM leaves, an increasing need for energetic compounds was indicated by the stimulation of ATPases, glycolysis, pentose phosphate pathway, and Calvin cycle enzymes; impacts on protein metabolism and oxidative stress increase were respectively suggested by the rise of chaperones and redox enzymes. Overexpression of a HSP70 may be pivotal for M Cu tolerance by protecting protein metabolism. All MS data have been deposited in the ProteomeXchange with the dataset identifier PXD001930 ( http//proteomecentral.proteomexchange.org/dataset/PXD001930 ).     

Multidimensional analysis of the insoluble sub-proteome of Oceanobacillus iheyensis HTE831, an alkaliphilic and halotolerant deep-sea bacterium isolated from the Iheya ridge

We report the first proteomic analysis of the insoluble sub-proteome of the alkaliphilic and halotolerant deep-sea bacterium Oceanobacillus iheyensis HTE831. A multidimensional gel-based and gel-free analysis was utilised and a total of 4352 peptides were initially identified by automated MS/MS identification software. Automated curation of this list using PROVALT reduced our peptide list to 467 uniquely identified peptides that resulted in the positive identification of 153 proteins. These identified proteins were functionally classified and physiochemically characterised. Of 26 proteins identified as hypothetical conserved, we have assigned function to all but four. A total of 41 proteins were predicted to possess signal peptides. In silico investigation of these proteins allowed us to identify three of the five bacterial classes of signal peptide, namely: (i) twin-arginine translocation; (ii) Sec-type and (iii) lipoprotein transport. Our proteomic strategy has also allowed us to identify, at neutral pH, a number of proteins described previously as belonging to two putative transport systems believed to be of importance in the alkaliphilic adaptation of O. iheyensis HTE831.     

Extensive characterization of peptides from Panax ginseng C. A. Meyer using mass spectrometric approach

Panax ginseng is an important herb that has clear effects on the treatment of diverse diseases. Until now, the natural peptide constitution of this herb remains unclear. Here, we conduct an extensive characterization of Ginseng peptidome using MS‐based data mining and sequencing. The screen on the charge states of precursor ions indicated that Ginseng is a peptide‐rich herb in comparison of a number of commonly used herbs. The Ginseng peptides were then extracted and submitted to nano‐LC‐MS/MS analysis using different fragmentation modes, including CID, high‐energy collisional dissociation, and electron transfer dissociation. Further database search and de novo sequencing allowed the identification of total 308 peptides, some of which might have important biological activities. This study illustrates the abundance and sequences of endogenous Ginseng peptides, thus providing the information of more candidates for the screening of active compounds for future biological research and drug discovery studies.     

Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures

A novel database search algorithm is presented for the qualitative identification of proteins over a wide dynamic range, both in simple and complex biological samples. The algorithm has been designed for the analysis of data originating from data independent acquisitions, whereby multiple precursor ions are fragmented simultaneously. Measurements used by the algorithm include retention time, ion intensities, charge state, and accurate masses on both precursor and product ions from LC‐MS data. The search algorithm uses an iterative process whereby each iteration incrementally increases the selectivity, specificity, and sensitivity of the overall strategy. Increased specificity is obtained by utilizing a subset database search approach, whereby for each subsequent stage of the search, only those peptides from securely identified proteins are queried. Tentative peptide and protein identifications are ranked and scored by their relative correlation to a number of models of known and empirically derived physicochemical attributes of proteins and peptides. In addition, the algorithm utilizes decoy database techniques for automatically determining the false positive identification rates. The search algorithm has been tested by comparing the search results from a four‐protein mixture, the same four‐protein mixture spiked into a complex biological background, and a variety of other “system” type protein digest mixtures. The method was validated independently by data dependent methods, while concurrently relying on replication and selectivity. Comparisons were also performed with other commercially and publicly available peptide fragmentation search algorithms. The presented results demonstrate the ability to correctly identify peptides and proteins from data independent acquisition strategies with high sensitivity and specificity. They also illustrate a more comprehensive analysis of the samples studied; providing approximately 20% more protein identifications, compared to a more conventional data directed approach using the same identification criteria, with a concurrent increase in both sequence coverage and the number of modified peptides.     

Bottom‐up proteome analysis of E. coli using capillary zone electrophoresis‐tandem mass spectrometry with an electrokinetic sheath‐flow electrospray interface

The Escherichia coli proteome was digested with trypsin and fractionated using SPE on a C18 SPE column. Seven fractions were collected and analyzed by CZE‐ESI‐MS/MS. The separation was performed in a 60‐cm‐long linear polyacrylamide‐coated capillary with a 0.1% v/v formic acid separation buffer. An electrokinetic sheath‐flow electrospray interface was used to couple the separation capillary with an Orbitrap‐Velos operating in higher‐energy collisional dissociation mode. Each CZE‐ESI‐MS/MS run lasted 50 min and total MS time was 350 min. A total of 23 706 peptide spectra matches, 4902 peptide IDs, and 871 protein group IDs were generated using MASCOT with false discovery rate less than 1% on the peptide level. The total mass spectrometer analysis time was less than 6 h, the sample identification rate (145 proteins/h) was more than two times higher than previous studies of the E. coli proteome, and the amount of sample consumed (<1 μg) was roughly fourfold less than previous studies. These results demonstrate that CZE is a useful tool for the bottom‐up analysis of prokaryote proteomes.     

Fingerprint of Hedyotis diffusa Willd. by HPLC-MS

A HPLC-MS fingerprint method has been developed based on the consistent chromatographic features of the major chemical constituents among 10 batches of Hedyotis diffusa Willd. Chromatographic separation was conducted on a Hypersil-Keystone Hypurity C(18) column using methanol:water:acetic acid as the mobile phase. Major compounds, including oleanolic acid, ursolic acid and ferulic acid, were analysed by HPLC-MS. Their analysis was ascertained by comparison with data derived from the standard compounds. The HPLC-MS fingerprint was successfully applied to analyse and differentiate samples from different geographical origins, or processing methods. H. diffusa was well distinguished from Hedyotis chrysotricha by HPLC-MS. Therefore the establishment of fingerprint of H. diffusa is critical in assessing and controlling its overall quality.     

Intact protein profiling in breast cancer biomarker discovery: Protein identification issue and the solutions based on 3D protein separation,bottom‐up and top‐down mass spectrometry

Proteomics profiling of intact proteins based on MALDI‐TOF MS and derived platforms has been used in cancer biomarker discovery studies. This approach suffers from a number of limitations such as low resolution, low sensitivity, and that no knowledge is available on the identity of the respective proteins in the discovery mode. Nevertheless, it remains the most high‐throughput, untargeted mode of clinical proteomics studies to date. Here we compare key protein separation and MS techniques available for protein biomarker identification in this type of studies and define reasons of uncertainty in protein peak identity. As a result of critical data analysis, we consider 3D protein separation and identification workflows as optimal procedures. Subsequently, we present a new protocol based on 3D LC‐MS/MS with top‐down at high resolution that enabled the identification of HNRNP A2/B1 intact peptide as correlating with the estrogen receptor expression in breast cancer tissues. Additional development of this general concept toward next generation, top‐down based protein profiling at high resolution is discussed.     

Proteome analysis of a human uveal melanoma primary cell culture by 2-DE and MS

We present here the first proteomics analysis of uveal melanoma (UM) cells. These cells represent a good model for the identification of polypeptide markers, which could be developed as diagnostic tools. UM is the most common primary intraocular tumour in adults. In contrast to other cancers, the survival rate of patients with this malignancy has changed little over the past few decades; a better understanding of the molecular biology of UM oncogenesis and metastasis is needed to build the basis for the identification of novel drug targets. In the study presented here, proteins from a UM primary cell culture were separated by 2-DE using a pI 3-10 gradient; 270 spots were analysed by LC-MS/MS, identifying 683 proteins derived from 393 different genes. Of those, 69 (18%) are related to cancer processes involving cell division, proliferation, invasion, metastasis, oncogenesis, drug resistance and others. To our knowledge, 96% of the proteins identified, including 16 hypothetical proteins, have never been reported in UM before. This study represents the first step towards the establishment of a UM protein database as a valuable resource for the study of this malignancy.     

Identification and comparative analysis of the structural proteomes of ϕKZ and EL,two giant Pseudomonas aeruginosa bacteriophages

Giant bacteriophages ?KZ and EL of Pseudomonas aeruginosa contain 62 and 64 structural proteins, respectively, identified by ESI‐MS/MS on total virion particle proteins. These identifications verify gene predictions and delineate the genomic regions dedicated to phage assembly and capsid formation (30 proteins were identified from a tailless ?KZ mutant). These data form the basis for future structural studies and provide insights into the relatedness of these large phages. The ?KZ structural proteome strongly correlates to that of Pseudomonas chlororaphis bacteriophage 201?2‐1. Phage EL is more distantly related, shown by its 26 non‐conserved structural proteins and the presence of genomic inversions.     

Physical and computational analysis of the yeast Kluyveromyces lactis secreted proteome

Secretion of proteins is the most common approach to protein expression in Kluyveromyces lactis. A proteomic analysis was performed on spent fermentation medium following bioreactor propagation of a wild-type industrial strain to identify proteins naturally secreted by K. lactis cells. Multidimensional separations were conducted and RP online ESI-MS/MS analysis identified 81 secreted proteins. In addition, an in silico analysis predicted 178 K. lactis proteins to be secreted via the general secretory pathway (GSP). These two datasets were compared and approximately 70% of the K. lactis proteins detected in the culture medium possessed a GSP sequence. The detected proteins included those involved with cell wall structure and synthesis, carbohydrate metabolism, and proteolysis, a result that may have significant bearing on heterologous protein expression. Additionally, both the experimental and in silico datasets were compared to similar, previously published datasets for Candida albicans. With the methodology presented here, we provide the deepest penetration into a yeast secretome yet reported.     

Determination of carbohydrates in medicinal plants--comparison between TLC, mf-MELDI-MS and GC-MS

Introduction – Quality control in the pharmaceutical and phytopharmaceutical industries requires fast and reliable methods for the analysis of raw materials and final products. Objective – This study evaluates different analytical approaches in order to recognise the most suitable technique for the analysis of carbohydrates in herbal drug preparations. Methodology – The specific focus of the study is on thin‐layer chromatography (TLC), gas chromatography (GC), and a newly developed mass spectrometric method, i.e. matrix free material enhanced laser desorption/ionisation time of flight mass spectrometry (mf‐MELDI‐MS). Samples employed in the study were standards and microwave‐assisted water extracts from Quercus. Results – TLC analysis proved the presence of mono‐, di‐ and trisaccharides within the biological sample and hinted at the existence of an unknown carbohydrate of higher oligomerisation degree. After evaluation of different derivatisation techniques, GC‐MS confirmed data obtained via TLC for mono‐ to trisaccharides, delivering additionally quantified values under a considerable amount of time. A carbohydrate of higher oligomerisation degree could not be found. The application of mf‐MELDI‐MS further confirmed the presence of carbohydrates up to trisaccharides, also hinting at the presence of a form of tetrasaccharide. Besides this information, mf‐MELDI‐MS delivered further data about other substances present in the extract. Quantitative determination resulted in 1.750, 1.736 and 0.336 mg/mL for glucose, sucrose and raffinose respectively. Conclusion – Evaluation of all three techniques employed, clearly proved the heightened performance of mf‐MELDI‐MS for the qualitative analysis of complex mixtures, as targets do not need modification and analysis requires only a few minutes. In addition, GC‐MS is suitable for quantitative analysis. Copyright © 2011 John Wiley & Sons, Ltd.     

Separation of Organoarsenicals by Means of Zwitterionic Hydrophilic Interaction Chromatography (ZIC®‐HILIC) and Parallel ICP‐MS/ESI‐MS Detection

An analytical scheme was developed for the separation and detection of organoarsenicals using a zwitterionic stationary phase of hydrophilic interaction chromatography (ZIC^®‐HILIC) coupled in parallel to electrospray ionization mass spectrometry (ESI‐MS) and to inductively coupled plasma mass spectroscopy (ICP‐MS). The optimization of separation and detection for organoarsenicals was mainly focused on the influence of the percentage of acetonitrile (MeCN) used as a major component of the mobile phase. Isocratic and gradient elution was applied by varying the MeCN percentage from 78 % to 70 % MeCN and 22 % to 30 % of an aqueous solution of ammonium acetate (125 mM NH₄Ac; pH 8.3) on a ZIC^®‐HILIC column (150 × 2.1 mm id, 3.5 μm), to allow for the separation and successful detection of nine organoarsenicals (i.e., 3‐nitro‐4‐hydroxyphenylarsonic acid (roxarsone, Rox), phenylarsonic acid (PAA), p‐arsanilic acid (p‐ASA), phenylarsine oxide (PAO), dimethylarsinate (DMA), methylarsonate (MMA), arsenobetaine (AsB), arsenocholine (AsC) and trimethylarsine oxide (TMAO)) within 45 min. All analytes were prepared in the mobile phase. The flow rate of the mobile phase, the splitting ratio between ICP‐MS and ESI‐MS detection, and the oxygen addition were adapted to ensure that there appeared a stably burning inductively coupled plasma. Furthermore, the analytical method was evaluated by the identification and quantification of AsB in the reference material DORM‐2 (dogfish muscle) resulting in a 95‐% recovery with respect to the AsB concentration in the extract.     

Rapid identification of vinca alkaloids by direct-injection electrospray ionisation tandem mass spectrometry and confirmation by high-performance liquid chromatography-mass spectrometry

A simple and rapid method for the identification of Vinca alkaloids from a crude extract of Catharanthus roseus G. Don (Apocynaceae) by direct-injection electrospray ionisation (ESI) and tandem mass spectrometry (MS/MS) has been developed. The alkaloids vindoline, vindolidine, vincristine and vinblastine were evaluated in a commercial extract of C. roseus using this method. Catharanthine and its isomers 19S-vindolinine and vindolinine were detected in the commercial product by direct injection ESI/MS/MS and confirmed by preparation and by HPLC-ESI/MS. For the characterisation of different fragment fingerprints, ESI/MS/MS is a sensitive, rapid and convenient technique by which to identify some constituents in complex and mixed plant extracts.