María Luisa Hernáez

Induced Expression of the Candida albicans Multidrug Resistance Gene CDR1 in Response to Fluconazole and Other Antifungals

The Candida albicans CDR1 gene encodes a member of the ABC‐type family of multidrug transporters which has been shown to be involved in azole resistance. Using an in‐frame gene fusion between the CDR1 open reading frame and the green fluorescent protein allele yEGFP3, an optimized derivative for its use in C. albicans, we show here how the CDR1‐yEGFP3 gene expression is induced in response to azoles as well as to other structurally unrelated drugs like cycloheximide. Moderate increases were observed for calcofluor, canavanine, 5′‐fluorcytosine, cilofungin and caffeine, while no induction was found for the antifungals benomyl and amphotericin B or hydrogen peroxide at subinhibitory concentrations. The use of confocal microscopy enabled us to localize the Cdr1p fusion protein at the cell periphery, thus suggesting a cytoplasmic membrane localization. These results suggest deregulation of CDR1 gene as a putative mechanism for the generation of azole resistance in this clinically important pathogenic fungus.

General statistical framework for quantitative proteomics by stable isotope labeling

The combination of stable isotope labeling (SIL) with mass spectrometry (MS) allows comparison of the abundance of thousands of proteins in complex mixtures. However, interpretation of the large data sets generated by these techniques remains a challenge because appropriate statistical standards are lacking. Here, we present a generally applicable model that accurately explains the behavior of data obtained using current SIL approaches, including (18)O, iTRAQ, and SILAC labeling, and different MS instruments. The model decomposes the total technical variance into the spectral, peptide, and protein variance components, and its general validity was demonstrated by confronting 48 experimental distributions against 18 different null hypotheses. In addition to its general applicability, the performance of the algorithm was at least similar than that of other existing methods. The model also provides a general framework to integrate quantitative and error information fully, allowing a comparative analysis of the results obtained from different SIL experiments. The model was applied to the global analysis of protein alterations induced by low H₂O₂ concentrations in yeast, demonstrating the increased statistical power that may be achieved by rigorous data integration. Our results highlight the importance of establishing an adequate and validated statistical framework for the analysis of high-throughput data.

Identification of Candida albicans exposed surface proteins in vivo by a rapid proteomic approach

We have set up a fast and easy methodology to identify cell-surface proteins in live yeasts. A non-gel proteomic approach was based on a short period of trypsin treatment followed by peptide separation and identification using nano-LC followed by off-line MS/MS. Candida albicans was used as a model organism and proteins involved in cell wall organization, cell rescue, defense, virulence, transport, protein fate and metabolism were identified. This strategy is a powerful tool to study host-pathogen interactions and to look for potential vaccine candidates and drug targets.

Phosphoproteomic Analysis of Protein Kinase C Signaling in Saccharomyces cerevisiae Reveals Slt2 Mitogen-activated Protein Kinase (MAPK)-dependent Phosphorylation of Eisosome Core Components

The cell wall integrity (CWI) pathway of the model organism Saccharomyces cerevisiae has been thoroughly studied as a paradigm of the mitogen-activated protein kinase (MAPK) pathway. It consists of a classic MAPK module comprising the Bck1 MAPK kinase kinase, two redundant MAPK kinases (Mkk1 and Mkk2), and the Slt2 MAPK. This module is activated under a variety of stimuli related to cell wall homeostasis by Pkc1, the only member of the protein kinase C family in budding yeast. Quantitative phosphoproteomics based on stable isotope labeling of amino acids in cell culture is a powerful tool for globally studying protein phosphorylation. Here we report an analysis of the yeast phosphoproteome upon overexpression of a PKC1 hyperactive allele that specifically activates CWI MAPK signaling in the absence of external stimuli. We found 82 phosphopeptides originating from 43 proteins that showed enhanced phosphorylation in these conditions. The MAPK S/T-P target motif was significantly overrepresented in these phosphopeptides. Hyperphosphorylated proteins provide putative novel targets of the Pkc1–cell wall integrity pathway involved in diverse functions such as the control of gene expression, protein synthesis, cytoskeleton maintenance, DNA repair, and metabolism. Remarkably, five components of the plasma-membrane-associated protein complex known as eisosomes were found among the up-regulated proteins. We show here that Pkc1-induced phosphorylation of the eisosome core components Pil1 and Lsp1 was not exerted directly by Pkc1, but involved signaling through the Slt2 MAPK module.

Quantitative proteome and acidic subproteome profiling of Candida albicans yeast-to-hypha transition.

Candida albicans yeast-to-hypha morphological transition is involved in the virulence strategy of this opportunistic fungal pathogen. Changes in relative abundance of the Candida proteome related to this process were analyzed using different two-dimensional differential in-gel electrophoresis (2D-DIGE)-based approaches. First, a comparative analysis of yeast and hyphal cytoplasmic proteins allowed the detection of 106 protein spots with significant variation in abundance. Sixty-one of them, corresponding to 46 proteins, were identified. As most of the differentially abundant proteins had an acidic isoelectric point, a large-scale prefractionation approach to analyze the acidic C. albicans subproteome was carried out. Ninety acidic C. albicans proteins were identified by either gel-based or nongel-based approaches. Additionally, different workflows combining preparative isoelectric focusing, Cy labeling, and narrow pH gradient 2-DE gels were tested to analyze the differences in relative protein abundance between yeast and hyphal acidic subproteomes. It was possible to identify 21 differentially abundant acidic proteins; 10 of them were not identified in the previous 2D-DIGE gels. Functional and network interaction analyses of the 56 differentially abundant proteins identified by both approaches rendered an integrated view of metabolic and cellular process reorganization during the yeast-to-hypha transition. With these results, we propose a model of metabolic reorganization.

Guidelines for reporting quantitative mass spectrometry based experiments in proteomics

UNLABELLED Mass spectrometry is already a well-established protein identification tool and recent methodological and technological developments have also made possible the extraction of quantitative data of protein abundance in large-scale studies. Several strategies for absolute and relative quantitative proteomics and the statistical assessment of quantifications are possible, each having specific measurements and therefore, different data analysis workflows. The guidelines for Mass Spectrometry Quantification allow the description of a wide range of quantitative approaches, including labeled and label-free techniques and also targeted approaches such as Selected Reaction Monitoring (SRM). BIOLOGICAL SIGNIFICANCE The HUPO Proteomics Standards Initiative (HUPO-PSI) has invested considerable efforts to improve the standardization of proteomics data handling, representation and sharing through the development of data standards, reporting guidelines, controlled vocabularies and tooling. In this manuscript, we describe a key output from the HUPO-PSI-namely the MIAPE Quant guidelines, which have developed in parallel with the corresponding data exchange format mzQuantML [1]. The MIAPE Quant guidelines describe the HUPO-PSI proposal concerning the minimum information to be reported when a quantitative data set, derived from mass spectrometry (MS), is submitted to a database or as supplementary information to a journal. The guidelines have been developed with input from a broad spectrum of stakeholders in the proteomics field to represent a true consensus view of the most important data types and metadata, required for a quantitative experiment to be analyzed critically or a data analysis pipeline to be reproduced. It is anticipated that they will influence or be directly adopted as part of journal guidelines for publication and by public proteomics databases and thus may have an impact on proteomics laboratories across the world. This article is part of a Special Issue entitled: Standardization and Quality Control.

Surfing transcriptomic landscapes. A step beyond the annotation of chromosome 16 proteome

The Spanish team of the Human Proteome Project (SpHPP) marked the annotation of Chr16 and data analysis as one of its priorities. Precise annotation of Chromosome 16 proteins according to C-HPP criteria is presented. Moreover, Human Body Map 2.0 RNA-Seq and Encyclopedia of DNA Elements (ENCODE) data sets were used to obtain further information relative to cell/tissue specific chromosome 16 coding gene expression patterns and to infer the presence of missing proteins. Twenty-four shotgun 2D-LC-MS/MS and gel/LC-MS/MS MIAPE compliant experiments, representing 41% coverage of chromosome 16 proteins, were performed. Furthermore, mapping of large-scale multicenter mass spectrometry data sets from CCD18, MCF7, Jurkat, and Ramos cell lines into RNA-Seq data allowed further insights relative to correlation of chromosome 16 transcripts and proteins. Detection and quantification of chromosome 16 proteins in biological matrices by SRM procedures are also primary goals of the SpHPP. Two strategies were undertaken: one focused on known proteins, taking advantage of MS data already available, and the second, aimed at the detection of the missing proteins, is based on the expression of recombinant proteins to gather MS information and optimize SRM methods that will be used in real biological samples. SRM methods for 49 known proteins and for recombinant forms of 24 missing proteins are reported in this study.

Differential carbonylation of cytoskeletal proteins in blood group O erythrocytes: Potential role in protection against severe malaria

The molecular basis for the prevalence of blood group O in regions where malaria is endemic remains unclear. In some genetic backgrounds oxidative modifications have been linked to a reduced susceptibility to severe malaria disease. Through redox proteomics, we detected differences in carbonylated membrane proteins among the different blood groups, both in Plasmodium-infected and uninfected erythrocytes (RBC). Carbonylation profiles of RBC membrane proteins revealed that group O blood shows a reduced protein oxidation pattern compared to groups A, B and AB. Upon infection with Plasmodium falciparum Dd2, erythrocytes of all blood groups showed increased oxidation of membrane proteins. By examining 4-hydroxy-2-nonenal (4-HNE) modified proteins by LC-MS/MS (liquid chromatography/mass spectrometry) we observed that, upon malaria infection, the protein components of lipid rafts and cytoskeleton were the main targets of 4-HNE carbonylation in all blood groups. Ankyrins and protein bands 4.2 and 4.1 were differentially carbonylated in group O as compared to A and B groups. During trophozoite maturation in group O erythrocytes, a steady increase was observed in the number of 4-HNE-modified proteins, suggesting a parasite-driven 4-HNE-carbonylation process. Our findings indicate a possible correlation between the protection against severe malaria in blood group O individuals and a specific pattern of 4-HNE-carbonylation of cytoskeleton proteins.

Combined proteomic approaches for the identification of specific amino acid residues modified by 4-hydroxy-2-nonenal under physiological conditions.

Proteins modified by 4-hydroxy-2-nonenal (HNE) are cellular markers of oxidative stress in health and disease. HNE is generated by free radical chain reactions during oxidative stress as a major end-product of the oxidative fatty acid metabolism. Identification and quantitative analysis of HNE-modified proteins are readily performed by using specific antibodies raised against them. Further on, the identification of the amino acid residues involved in the HNE-modification is an additional step in proteomic post-transcriptional modification analysis to explain the nature of the specificity underlying oxidative stress mechanisms. For this purpose, a combined protocol of immune-detection, peptide enrichment, mass spectrometry, and de novo protein sequencing has been developed. The methodology was first examined in the model protein bovine serum albumin (BSA), allowing the comparison of matrix-assisted laser desorption/ionization-tandem time of flight (MALDI-TOF/TOF) mass spectrometry and liquid chromatography-tandem mass spectrometry (LC-MS/MS) performance and sensitivity. Peptide enrichment was optimized by affinity chromatography on HNE-BSA resulting in increased sensitivity. Identification of amino acid residues modified by HNE was finally ascertained by de novo sequencing analysis. The improved methodology was demonstrated on human erythrocyte membrane proteins allowing the identification of HNE-lysine and HNE-histidine Michael adducts in the β-spectrin under physiological conditions.

Proteomic analysis by two-dimensional differential gel electrophoresis (2D DIGE) of a high-pressure effect in bacillus cereus

High hydrostatic pressure (HHP) is a new method used to reduce or eliminate microorganisms that are present in food. Proteins are known to be the most important target of high pressure in living organisms. The main goal of this investigation was focused on the changes that occur on the proteins of Bacillus cereus under HHP stress conditions. The two-dimensional differential gel electrophoresis (2D DIGE) technique allows for a simultaneous resolution of thousands of proteins based on fluorescent prelabeling of the samples with spectrally resolvable fluorescent CyDyes. The results of proteomics profiling show an average of 1300 spots being detected. The analysis revealed 75 spot proteins whose abundance is modified after the application of high pressure, of which 66 were decreased after the HHP treatment. Among them, flagellin was the protein that changed the most. The differential expression of some proteins after HHP treatment at 700 MPa may suggest a reduction of virulence and protective response against oxidative stress in flagellated Bacillus .