Quantitative evaluation of sample application methods for semipreparative separations of basic proteins by two-dimensional gel electrophoresis

Sometimes faster can be better: Microneedling IPG strips enables higher throughput for integrative top-down proteomics

Passive rehydration of immobilized pH gradient (IPG) strips for two-dimensional gel electrophoresis (2DE) has, to our knowledge, never been quantitatively evaluated to determine an ideal rehydration time. Seeking to increase throughput without sacrificing analytical rigor, we report that a substantially shorter rehydration time is accomplished when surface area of IPG strips is increased via microneedling. Rehydration for 4 h, post microneedling, provides comparable results to overnight rehydration in final analyses by 2DE, while also shortening the overall protocol by 1 day.

Comparing mRNA expression and protein abundance in MDR Mycobacterium tuberculosis: Novel protein candidates, Rv0443, Rv0379 and Rv0147 as TB potential diagnostic or therapeutic targets

Tuberculosis (TB) is a sizable public health threat in the world. This study was conducted to determine the differential protein composition between susceptible and MDRTB strains. Tuberculosis proteins were extracted by Triton™ X-114 and ammonium sulfate. Two-dimensional gel electrophoresis protein spots were selected for identification by mass spectrometry and mRNA expression levels were measured by real- time PCR. 2DE-Western blot and T cell epitope prediction for identified proteins were made by the IEDB server. The result shows at least six protein spots (Rv0147, Rv3597c, Rv0379, Rv3699, Rv1392 and Rv0443) were differentially expressed in MDRTB isolates. However, difference in mRNA gene expression was not found in the six mRNA genes. 2DE-Western blot procedures indicated strong reaction against MDRTB proteins corresponds to 13, 16 and 55 kDa areas that might be used as new diagnostic tools. In conclusion, these MDRTB proteins identified in this study could be reliable TB diagnostic candidates or therapeutic targets.

Two-dimensional gel electrophoresis of gastric tissue in an alkaline pH range

2DE in combination with MS has facilitated the discovery of several proteins with altered abundance in gastric cancer. While acidic and wide pH ranges have been widely investigated, analysis in the alkaline pH range has not been specifically performed in gastric cancer to date. In the present study, we initially optimized the 2DE in alkaline pH range (pH 7-11) for gastric tissue samples. Using a modified lysis buffer, we analyzed pooled nontumor and tumor samples for proteins with altered abundance in gastric adenocarcinoma. We successfully identified 38 silver-stained spots as 24 different proteins. Four of these were chosen for investigation with immunoblotting on individual paired samples to determine whether the changes seen in 2DE represent the overall abundance of the protein or possibly only a single form. While mitochondrial trifunctional protein (MTP) subunits were decreased in 2DE gels, immunoblotting identified their overall abundance as being differently dysregulated: in the gastric tumor samples, the MTP-α subunit was decreased, and the MTP-β subunit was increased. On the other hand, heterogenous nuclear ribonucleoprotein M and galectin-4 were increased in the gastric tumor samples in both 2DE and immunoblotting.

2D-ToGo workflow: increasing feasibility and reproducibility of 2-dimensional gel electrophoresis

Two-dimensional gel electrophoresis (2-DE) is one of the most powerful methods for studying global protein profiles. However, due to the multiple manual steps involved in gel based processing it is challenging to achieve the necessary overall reproducibility for a reliable comparative analysis, especially between different laboratories. To improve the 2-DE technique for quantitative analyses we have set up a robust 2-DE workflow, called 2D-ToGo, which utilizes latest innovations concerning instrumentation, consumables and protocols. Quantitative data analyses indicate the high reproducibility between replicate gels processed at a single site (intra-laboratory variation: CV 20%). The data-sets of the inter-laboratory comparison revealed similar results displaying a variation of CV 23%. The technical improvements given by our 2-DE workflow have a positive impact on process robustness and most importantly, reproducibility. Accordingly, many of the well-known challenges for resolving and quantitating up to thousands of different protein components in a given biological sample are minimized.

Developing a reproducible method for the high-resolution separation of peritoneal dialysate proteins on 2-D gels

PURPOSE

Despite recent progress in the proteomic analysis of peritoneal dialysate effluent (PDE), there remains unresolved problems in the development of an optimal sample preparation method.

EXPERIMENTAL DESIGN

We examined five protocols for concentrating PDE proteins and the effects of immobilized pH gradient (IPG) strips with different pH ranges and sample loading techniques. In addition, we examined three kits for depleting high abundance proteins by SDS-PAGE and two-dimensional gel electrophoresis (2-DE).

RESULTS

PDE proteins precipitated with 75% acetonitrile (ACN) showed the greatest number of protein spots by 2-DE, with over 800 distinct spots. Higher-resolution images were obtained using IPG strips with a pH range of 4-7. The ProteoPrep immunoaffinity albumin and IgG depletion kit removed high abundance proteins with higher efficiency and more compatibility with isoelectric focusing (IEF). Removing high abundance proteins also increased the resolution and improved the intensity of low abundance proteins.

CONCLUSION AND CLINICAL RELEVANCE

High-resolution 2-DE images of PDE proteins were obtained by concentrating samples with 75% ACN, using pH 4-7 IPG strips, and depleting high abundance proteins. This optimized method will enable future studies to discover predictive biomarkers of disease in patients on dialysis.

Evaluation of protein loading techniques and improved separation in OFFGEL isoelectric focusing

2-DE proved to be a key technology in protein science since the two orthogonal separation dimensions are capable of protein isoform separation. Recently, Agilent introduced the OFFGEL 3100 fractionator for in solution IEF (off-gel) of proteins with the help of a 12- or 24-well frame. With this instrument also conventional focusing in IPG strips after passive in-tray rehydration can be performed. In this study, two novel IEF applications using the OFFGEL electrophoresis were developed. First, a sample cup was built and a cup-loading method for the OFFGEL device was implemented. Applying proteins via cup resulted in higher reproducibility and less protein loss compared with conventional in-tray rehydration loading. Especially, the recovery of basic and high-molecular-mass proteins seems to be favored by cup loading. These effects are more pronounced with low microgram sample amounts. Second, a 48-well OFFGEL frame was developed, which doubles the resolution of the commercially available 24-well frame. It is capable of separating proteins with small pI differences and shows potential for isoform/PTM separation.

Identification of candidate proteins for the diagnosis of Bartonella henselae infections using an immunoproteomic approach

Bartonella henselae is an emerging gram-negative facultative intracellular pathogen transmitted via Ctenocephalides felis (cat fleas) or cat scratches. Bartonellosis is present mainly in the form of cat scratch disease (CSD), bacillary angiomatosis and infective endocarditis (IE). The methods used to diagnose B. henselae rely on culturing, immunofluorescent assays and molecular techniques. The objective of the present study was to identify candidate proteins for the serodiagnosis of bartonellosis with the differential discrimination of both clinical scenarios: CSD and IE. For this, an immunoproteomic approach combined with 2-DE, immunoblotting and matrix-assisted laser desorption/ionization time-of-flight MS has been developed. Immunoproteomic profiles of sera collected from patients with CSD and IE were compared with those of blood donors. We identified several candidate proteins as phage-encoding Pap31 protein and an outer membrane protein of BH11510 that, in our view, might be useful for the serodiagnosis of bartonellosis.

Influence of image-analysis software on quantitation of two-dimensional gel electrophoresis data

Image analysis of two-dimensional gels is a crucial step in a proteomic workflow and has a direct impact on obtained qualitative and quantitative data. Since the analysis is a complex process and creates large data amounts, the use of a respective software is inevitable. There are only a few papers published addressing the issue of analysis-based variance; therefore, our aim was to highlight the discrepancy of received results when different commercially available image-tools are used for gel analysis especially in terms of comparability of the obtained outcome when the same digital image set is used. A set of six gels (three replicates per group) of real-life samples was created and examined with two different versions of PD-Quest (Bio-Rad) (version 6.1 and its update version 8.0) and with an external image-tool Delta 2D (Decodon) (version 3.6). Replicate groups were analyzed and compared with each other with regard to volume ratios of a group of significantly changed spots. The study points out significant variations among results depending on the software package used, underlining the importance of a careful investigation of post-experimental processes to receive comparable and reliable results.

Proteomics with a pinch of salt: a cyanobacterial perspective

Cyanobacteria are ancient life forms and have adapted to a variety of extreme environments, including high salinity. Biochemical, physiological and genetic studies have contributed to uncovering their underlying survival mechanisms, and as recent studies demonstrate, proteomics has the potential to increase our overall understanding further. To date, most salt-related cyanobacterial proteomic studies have utilised gel electrophoresis with the model organism Synechocystis sp. PCC6803. Moreover, focus has been on 2-4% w/v NaCl concentrations within different cellular compartments. Under these conditions, Synechocystis sp. PCC6803 was found to respond and adapt to salt stress through synthesis of general and specific stress proteins, altering the protein composition of extracellular layers, and re-directing control of complex central intermediary pathways. Post-transcriptional control was also predicted through non-correlating transcript level data and identification of protein isoforms.In this paper, we also review technical developments with emphasis on improving the quality and quantity of proteomic data and overcoming the detrimental effects of salt on sample preparation and analysis. Developments in gel-free methods include protein and peptide fractionation workflows, which can increase coverage of the proteome (20% in Synechocystis sp. PCC6803). Quantitative techniques have also improved in accuracy, resulting in confidence in quantitation approaching or even surpassing that seen in transcriptomic techniques (better than 1.5-fold in differential expression). Furthermore, in vivo metabolic labelling and de novo protein sequencing software have improved the ability to apply proteomics to unsequenced environmental isolates. The example used in this review is a cyanobacterium isolated from a Saharan salt lake.

Recent advances in proteomics and cancer biomarker discovery

Early diagnosis and prevention is a key factor in reducing the mortality and morbidity of cancer. However, currently available screening tools lack enough sensitivity for early diagnosis. It is important to develop noninvasive techniques and methods that can screen and identify asymptomatic patients who have cancer. Biomarkers of cancer status can also serve as powerful tools in monitoring the course of cancer and in determining the efficacy and safety of novel therapies. Thus, discovery of novel specific biomarkers are needed that may provide informative clues for early diagnosis and treatment of cancer. Recently, remarkable progress has been made in the development of new proteomics technology. The progress that has been made in this field is helpful in identifying biomarkers that can be used for early diagnosis of cancer and improving the understanding of the molecular etiological mechanism of cancer. This article describes the current state of the art in this field.

Rapid, simple and effective technical procedure for the regeneration of IgG and HSA affinity columns for proteomic analysis

In plasma and serum, the presence of high-abundance proteins can overwhelm the signals of low-abundance proteins, which then become undetectable either by two-dimensional gels or chromatographic techniques. Therefore, depletion of abundant proteins is a prerequisite to detect low-abundance components. Furthermore, the regeneration of pre-purification tools could be money-saving. We applied an affinity chromatography kit to remove albumin and the immunoglobulin chains from plasma and propose a simple and effective technical procedure for the regeneration of these affinity columns.

Differential display and protein quantification

High-throughput quantitation of proteins is of essential importance for all systems biology approaches and provides complementary information on steady-state gene expression and perturbation-induced systems responses. This information is necessary because it is, e.g., difficult to predict protein concentrations from the level of mRNAs, since regulatory processes at the posttranscriptional level adjust protein concentrations to prevailing conditions. Despite its importance, quantitative proteomics is still a challenging task because of the high dynamic range of protein concentrations in the cell and the variation in the physical properties of proteins. In this chapter we review the current status of, and options for, protein quantification in high-throughput experiments and discuss the suitability and limitations of different existing methods.

Translational and transcriptional analysis of Sulfolobus solfataricus P2 to provide insights into alcohol and ketone utilisation

The potential of Sulfolobus solfataricus P2 for alcohol or ketone bioconversion was explored in this study. S. solfataricus was grown in different concentrations (0.1-0.8% w/v) of alcohols or ketones (ethanol, iso-propanol, n-propanol, acetone, phenol and hexanol) in the presence of 0.4% w/v glucose. Consequently, the addition of these alcohols or ketones into the growth media had an inhibitory effect on biomass production, whereby lag times increased and specific growth rates decreased when compared to a glucose control. Complete glucose utilisation was observed in all cultures, although slower rates of glucose consumption were observed in experimental cultures (average of 14.9 mg/L/h compared to 18.9 mg/L/h in the control). On the other hand, incomplete solvent utilisation was observed, with the highest solvent consumption being approximately 51% of the initial concentration in acetone cultures. Translational responses of S. solfataricus towards these alcohols or ketones were then investigated using the isobaric tags for relative and absolute quantitation (iTRAQ) technique. The majority (>80%) of proteins identified and quantified showed no discernable changes in regulation compared to the control. These results, along with those obtained from transcriptional analysis of key genes involved within this catabolic process using quantitative RT-PCR and metabolite analysis, demonstrate successful alcohol or ketone conversion in S. solfataricus.

Proteomics in nutrition research: principles, technologies and applications

The global profiling of the whole protein complement of the genome expressed in a particular cell or organ, or in plasma or serum, makes it possible to identify biomarkers that respond to alterations in diet or to treatment, and that may have predictive value for the modelling of biological processes. Proteomics has not yet been applied on a large scale in nutritional studies, yet it has advantages over transcriptome profiling techniques in that it directly assesses the entities that carry out the biological functions. The present review summarizes the different approaches in proteomics research, with special emphasis on the current technical ‘workhorses’: two-dimensional (2D)-PAGE with immobilized pH gradients and protein identification by MS. Using a work-flow approach, we provide information and advice on sample handling and preparation, protein solubilization and pre-fractionation, protein separation by 2D-PAGE, detection and quantification via computer-assisted analysis of gels, and protein identification and characterization techniques by means of MS. Examples from nutritional studies employing proteomics are provided to demonstrate not only the advantages but also the limitations of current proteome analysis platforms.

Proteome analysis of Sulfolobus solfataricus P2 propanol metabolism

Sulfolobus solfataricus P2 is able to metabolize n-propanol as the sole carbon source. An average n-propanol consumption rate of 9.7 and 3.3 mg/L/hr was detected using GC-MS analysis from S. solfataricus cultures grown in 0.40 and 0.16% w/v n-propanol, respectively. The detection of propionaldehyde, the key intermediate of n-propanol degradation, produced at a rate of 1.3 and 1.0 mg/L/hr in 0.40 and 0.16% w/v n-propanol cultures, further validated the ability of S. solfataricus to utilize n-propanol. The translational and transcriptional responses of S. solfataricus grown on n-propanol versus glucose were also investigated using quantitative RT-PCR and iTRAQ approaches. Approximately 257 proteins with > or =2 MS/MS spectra were identified and quantified via iTRAQ. The global quantitative proteome overview obtained showed significant up-regulation of acetyl-CoA synthetases, propionyl-CoA carboxylase, and methylmalonyl-CoA mutase enzymes. This led to the proposition that the propionyl-CoA formed from n-propanol degradation is catabolised into the citrate cycle (central metabolism) via succinyl-CoA intermediates. In contrast, evidence obtained from these analysis approaches and in vivo stable isotope labeling experiments, suggests that S. solfataricus is only capable of converting isopropyl alcohol to acetone (and vice versa) but lacks the ability to further metabolize these compounds.

Improved comparative proteome analysis based on two-dimensional gel electrophoresis

The purpose of this study was to test the extent to which differences in spot intensity can be reliably recognized between two groups of two-dimensional electrophoresis gels (pH 4-7, visualized with ruthenium fluorescent stain) each loaded with different amounts of protein from rat brain (power analysis). Initial experiments yielded only unsatisfactory results: 546 spots were matched from two groups of 6 gels each loaded with 200 microg and 250 microg protein, respectively. Only 72 spots were higher (p<0.05), while 58 spots were significantly lower in the 250-microg group. The construction of new apparatuses that allowed the simultaneous processing of 24 gels throughout all steps between rehydration and staining procedure considerably lowered the between-gel variation. This resulted in the detection of significant differences in spot intensities in 77-90% of all matched spots on gel groups with a 25% difference in protein load. This applied both when protein from 24 biological replicates was loaded onto two groups of 12 gels and when two pooled tissue samples were each loaded onto 6 gels. At a difference of 50% in protein load, more than 90% of all spots differed significantly between two experimental groups.

Optimization of paper bridge loading for 2-DE analysis in the basic pH region: application to the mitochondrial subproteome

Separation of basic proteins with 2-DE presents technical challenges involving protein precipitation, load limitations, and streaking. Cardiac mitochondria are enriched in basic proteins and difficult to resolve by 2-DE. We investigated two methods, cup and paper bridge, for sample loading of this subproteome into the basic range (pH 6-11) gels. Paper bridge loading consistently produced improved resolution of both analytical and preparative protein loads. A unique benefit of this technique is that proteins retained in the paper bridge after loading basic gels can be reloaded onto lower pH gradients (pH 4-7), allowing valued samples to be analyzed on multiple pH ranges.

Dialysis-assisted two-dimensional gel electrophoresis

2-DE is an important tool in proteomics research. However, intrinsic gel-to-gel variability of 2-DE often masks the biological differences between the samples and compromises quantitative comparison of protein expression levels. Here, we describe a modification of 2-DE that results in improved matching and quantification of proteins. This was accomplished by performing IEF of two samples in two IPG strips separated by a dialysis membrane. After IEF running, the strips were separated and the SDS-PAGE dimension was accomplished on two individual gels. After gel staining with CBB, ImageMaster 2D Platinum software (Amersham) was used for spot detection and quantification. Analysis of protein extracts from C2C12 myoblasts by this method resulted in 99% spot-matching efficiency and CV in stain intensity (% volume) was less than 0.5 for 98% of spots. We conclude that this technique, called dialysis-assisted gel electrophoresis, gives superior spot matching and quantitative reproducibility compared to IEF conducted on separate strips.

Proteomic mapping of the hyperthermophilic and acidophilic archaeonSulfolobus solfataricus P2

A proteomic map of Sulfolobus solfataricus P2, an archaeon that grows optimally at 80 degrees C and pH 3.2, was developed using high-resolution 2-DE and peptide mass fingerprinting. A total of 867 protein spots (659 aqueous Tris-soluble spots and 208 aqueous Tris-insoluble) were mapped over IPG 3-10, 4-7, and 6-11, with second-dimensional gels made of 8-18% polyacrylamide. Three hundred and twenty-four different gene products were represented by the 867 spots, with 274 gene products being identified in the Tris-soluble fractions and 100 gene products in the Tris-insoluble portion. Fifty gene products were found on gels from both fractions. Additionally, an average of 1.50 +/- 0.12 isoforms/protein was identified. This mapping study confirmed the expression of proteins involved in numerous metabolic, transport, energy production, nucleic acid replication, translation, and transcription pathways. Of particular interest, phosphoenolpyruvate carboxykinase (SSO2537) was detected even though the pathway for gluconeogenesis is unknown for this archaeon. Tris-soluble fractions contained many cytosolic proteins while Tris-insoluble fractions contained many membrane-associated proteins, including ABC transporters and an ATP synthase. This study provides an optimized 2-DE approach for investigating the biochemical pathways and post-translational modifications employed by Sulfolobus to survive in its extreme environment.

Proteomic analysis of mammalian basic proteins by liquid-based two-dimensional column chromatography

To develop a standard method for separating highly basic proteins in mammalian cells, we established a 2-D LC separation system coupled with chromatofocusing/nonporous RP column chromatography (CF/NPRPC) in a ProteomeLab PF2D system. After standardizing conditions for 2-D LC, a 2-D liquid protein map of uninfected macrophage proteins with pH range 8.3-11.3 was constructed, and then compared with a macrophage protein map made after infection with Candida albicans. The results demonstrate that 2-D LC offers both high resolution and reproducibility for separation of highly basic, macrophage proteins. After protein identification using a nano 2-D LC-MS/MS Proteomics Solution System, quantitative determination of the changes in the differentially expressed proteins (e.g., galectin-3) in C. albicans-infected macrophages was also accomplished by measuring the peak area of the chromatogram in 2-D LC. The result from this measurement of galectin-3 expression shows a 3.41-fold decrease in the infected macrophage cells, which was further confirmed by that from the RT-PCR of mRNA of galectin-3. Thus, 2-D LC coupled with CF/NPRPC could be applicable to common analysis of highly basic proteins in a high-throughput manner.

A novel droplet-tap sample-loading method for two-dimensional gel electrophoresis

A novel procedure, droplet-tap mode, has been devised for sample application for two-dimensional gel electrophoresis (2DE) expression profiles. The sample was loaded by evenly distributed tapping of droplets of the sample on to the rehydration buffer (RB) and then lowering the strip on to the solution surface. At normal loading concentrations, the number of spots obtained was increased by approximately one-third by this new approach compared with the rehydration loading procedure. The method also resulted in significantly improved resolution compared with cup loading when high concentrations of proteins were present, indicating its potential usefulness in micropreparative separation. In addition, recovery of the proteins confirmed that protein uptake was enhanced by use of this method. By enabling improved performances in 2DE, the proposed procedure has much potential for sample loading to meet the requirements of global proteome analysis.

Identification and characterization of the Sulfolobus solfataricus P2 proteome

Via combined separation approaches, a total of 1399 proteins were identified, representing 47% of the Sulfolobus solfataricus P2 theoretical proteome. This includes 1323 proteins from the soluble fraction, 44 from the insoluble fraction and 32 from the extra-cellular or secreted fraction. We used conventional 2-dimensional gel electrophoresis (2-DE) for the soluble fraction, and shotgun proteomics for all three cell fractions (soluble, insoluble, and secreted). Two gel-based fractionation methods were explored for shotgun proteomics, namely: (i) protein separation utilizing 1-dimensional gel electrophoresis (1-DE) followed by peptide fractionation by iso-electric focusing (IEF), and (ii) protein and peptide fractionation both employing IEF. Results indicate that a 1D-IEF fractionation workflow with three replicate mass spectrometric analyses gave the best overall result for soluble protein identification. A greater than 50% increment in protein identification was achieved with three injections using LC-ESI-MS/MS. Protein and peptide fractionation efficiency; together with the filtration criteria are also discussed.

Software-induced variance in two-dimensional gel electrophoresis image analysis

Experimental variability in 2-DE is well documented, but little attention has been paid to variability arising from postexperimental quantitative analyses using various 2-DE software packages. The performance of two 2-DE analysis software programs, Phoretix 2D Expression v2004 (Expression) and PDQuest 7.2 (PDQuest), was evaluated in this study. All available background subtraction and smoothing algorithms were tested using both data generated from one single 2-DE gel image, thus excluding experimental variance, and with authentic sets of replicate gels (n = 5). A slight shift of the image boundaries (the "cropping area") caused both programs to induce variance in protein spot quantification of otherwise identical gel images. The resulting variance for PDQuest (CV(mean) = 8%) was approximately twice that for Expression (CV(mean) = 4%). In authentic sets of replicate 2-DE gels (n = 5), the experimental variance confounded the software-induced variance to some extent. However, Expression still outperformed PDQuest, which exhibited software-induced variance as high as 25% of the total observed variance. Surprisingly, the complete omission of background subtraction algorithms resulted in the least amount of software-based variance. These data indicate that 2-DE gel analysis software constitutes a significant source of the variance observed in quantitative proteomics, and that the use of background subtraction algorithms can further increase the variance.

Proteomic analyses using an accurate mass and time tag strategy

An accurate mass and time (AMT) tag approach for proteomic analyses has been developed over the past several years to facilitate comprehensive high-throughput proteomic measurements. An AMT tag database for an organism, tissue, or cell line is established by initially performing standard shotgun proteomic analysis and, most importantly, by validating peptide identifications using the mass measurement accuracy of Fourier transform ion cyclotron resonance (FTICR) mass spectrometry (MS) and liquid chromatography (LC) elution time constraint. Creation of an AMT tag database largely obviates the need for subsequent MS/MS analyses, and thus facilitates high-throughput analyses. The strength of this technology resides in the ability to achieve highly efficient and reproducible one-dimensional reversed-phased LC separations in conjunction with highly accurate mass measurements using FTICR MS. Recent improvements allow for the analysis of as little as picrogram amounts of proteome samples by minimizing sample handling and maximizing peptide recovery. The nanoproteomics platform has also demonstrated the ability to detect >10(6) differences in protein abundances and identify more abundant proteins from subpicogram amounts of samples. The AMT tag approach is poised to become a new standard technique for the in-depth and high-throughput analysis of complex organisms and clinical samples, with the potential to extend the analysis to a single mammalian cell.

Sub-cellular proteomic analysis of a Medicago truncatula root microsomal fraction

Since the last decade, Medicago truncatula has emerged as one of the model plants particularly investigated in the field of plant-microbe interactions. Several genetic and molecular approaches including proteomics have been developed to increase knowledge about this plant species. To complement the proteomic data, which have mainly focused on the total root proteins from M. truncatula, we carried out a sub-cellular approach to gain access to the total membrane-associated proteins. Following the setting up of the purification process, microsomal proteins were separated on 2-DE. Ninety-six out of the 440 well-resolved proteins were identified by MALDI-TOF peptide mass fingerprinting. A high percent (83%) of successful protein identification was obtained when using M. truncatula clustered EST database for queries. During the purification process, the enrichment in membrane-associated proteins was monitored on 2-D gels. The membrane location of microsomal proteins was further confirmed using PMF identification. This study reports a fractionation process for characterizing microsomal root proteins of M. truncatula, which could be an interesting tool for investigating the molecular mechanisms involved in root symbioses.