Assessment of the 2-D Gel-Based Proteomics Application of Clinically Archived Formalin-Fixed Paraffin Embedded Tissues

Hospital tissue repositories possess a vast and valuable supply of disease samples with matched retrospective clinical information. Detection and characterization of disease biomarkers in formalin-fixed paraffin-embedded (FFPE) tissues will greatly aid the understanding of the diseases mechanisms and help in the development of diagnostic and prognostic markers. In this study, the possibility of using full-length proteins extracted from clinically archived FFPE tissues in two-dimensional (2-D) gel-based proteomics was evaluated. The evaluation was done based on two types of tumor tissues (breast and prostate) and two extraction protocols. The comparison of the 2-D patterns of FFPE extracts obtained by two extraction protocols with the matching frozen tissue extracts showed that only 7–10 % of proteins from frozen tissues can be matched to proteins from FFPE tissues. Most of the spots in the 2-D FFPE’s maps had pl 4–6, while the percentages of proteins with pl above 6 were 3–5 times lower in comparison to the fresh/frozen tissue. Despite the three-fold lower number of the detected spots in FFPE maps compared to matched fresh/frozen maps, 67–78 % of protein spots in FFPE could not be matched to the corresponding spots in the fresh/frozen tissue maps indicating irreversible protein modifications. In conclusion, the inability to completely reverse the cross-linked complexes and overcome protein fragmentation with the present day FFPE extraction methods stands in the way of effective use of these samples in 2-D gel based proteomics studies.     

Two-dimensional fluorescence difference gel electrophoresis analysis of spermatogenesis in the rat

The molecular mechanisms underlying normal and pathological spermatogenesis remain poorly understood. We compared protein concentrations in different germ cell types to identify those proteins specifically or preferentially expressed at each stage of rat spermatogenesis. Crude cytosolic protein extracts and reversed-phase HPLC prefractionated cytosolic extracts from spermatogonia, pachytene spermatocytes, and early spermatids were subjected to two-dimensional difference gel electrophoresis (2-D DIGE). By comparing gels and carrying out statistical analyses, we were able to identify 1274 protein spots with relative abundances differing significantly between the three cell types. We found that 265 of these spots displaying highly differential expression (ratio > or = 2.5 between two cell types), identified by mass fingerprinting, corresponded to 123 nonredundant proteins. The proteins clustered into three clades, corresponding to mitotic, meiotic, and post-meiotic cell types. The differentially expressed proteins identified by 2-D DIGE were confirmed and validated by western blotting and immunohistochemistry, in the few cases in which antibodies were available. 2-D DIGE appears a relevant proteomics approach for studying rat germ cell differentiation, allowing the establishment of the precise expression profiles for a relatively large number of proteins during normal spermatogenesis.     

Prostatic tissue protein alterations due to delayed time to freezing

Clinical studies often produce fresh tissue samples, which ideally should be immediately snap frozen for storage and subsequent analysis. However, this is often not practically possible, and there is inevitably a time period during which the sample is stored on ice. The delay in freezing may allow endogenous degradation of proteins to occur, affecting 2-D gel protein profiles. This study aims to investigate the type and extent of this degradation by examining how the time-to-freezing delay alters prostatic tissue protein profile. The prostate carcinoma-3 cell line (PC-3), prostate cancer xenografts and canine prostate were used with fluorescence 2-D DIGE to assess protein degradation. It was found that 30-min processing time had minimal effects on the protein profile. Longer delays had little visible effect, but subtle alterations in protein profile began to accumulate as time increased. These data support the practice of completing tissue processing as rapidly as possible, and indicate that short processing times do not notably perturb the 2-D gel spot pattern from prostatic tissue.     

Label-free protein profiling of formalin-fixed paraffin-embedded (FFPE) heart tissue reveals immediate mitochondrial impairment after ionising radiation

Qualitative proteome profiling of formalin-fixed, paraffin-embedded (FFPE) tissue is advancing the field of clinical proteomics. However, quantitative proteome analysis of FFPE tissue is hampered by the lack of an efficient labelling method. The usage of conventional protein labelling on FFPE tissue has turned out to be inefficient. Classical labelling targets lysine residues that are blocked by the formalin treatment. The aim of this study was to establish a quantitative proteomics analysis of FFPE tissue by combining the label-free approach with optimised protein extraction and separation conditions. As a model system we used FFPE heart tissue of control and exposed C57BL/6 mice after total body irradiation using a gamma ray dose of 3 gray. We identified 32 deregulated proteins (p≤0.05) in irradiated hearts 24h after the exposure. The proteomics data were further evaluated and validated by bioinformatics and immunoblotting investigation. In good agreement with our previous results using fresh-frozen tissue, the analysis indicated radiation-induced alterations in three main biological pathways: respiratory chain, lipid metabolism and pyruvate metabolism. The label-free approach enables the quantitative measurement of radiation-induced alterations in FFPE tissue and facilitates retrospective biomarker identification using clinical archives.     

Biological versus technical variability in 2-D DIGE experiments with environmental bacteria

Two-dimensional difference gel electrophoresis (2-D DIGE) allows for reliable quantification of global protein abundance changes. The threshold of significance for protein abundance changes depends on the experimental variation (biological and technical). This study estimates biological, technical and total variation inherent to 2-D DIGE analysis of environmental bacteria, using the model organisms "Aromatoleum aromaticum" EbN1 and Phaeobacter gallaeciensis DSM 17395. Of both bacteria the soluble proteomes were analyzed from replicate cultures. For strains EbN1 and DSM 17395, respectively, CV revealed a total variation of below 19 and 15%, an average technical variation of 12 and 7%, and an average biological variation of 18 and 17%. Multivariate analysis of variance confirmed domination of biological over technical variance to be significant in most cases. To visualize variances, the complex protein data have been plotted with a multidimensional scaling technique. Furthermore, comparison of different treatment groups (different substrate conditions) demonstrated that variability within groups is significantly smaller than differences caused by treatment.     

Database of two-dimensional polyacrylamide gel electrophoresis of proteins labeled with CyDye DIGE Fluor saturation dye

CyDye DIGE Fluor saturation dye (saturation dye, GE Healthcare Amersham Biosciences) enables highly sensitive 2-D PAGE. As the dye reacts with all reduced cysteine thiols, 2-D PAGE can be performed with a lower amount of protein, compared with CyDye DIGE Fluor minimal dye (GE Healthcare Amersham Biosciences), the sensitivity of which is equivalent to that of silver staining. We constructed a 2-D map of the saturation dye-labeled proteins of a liver cancer cell line (HepG2) and identified by MS 92 proteins corresponding to 123 protein spots. Functional classification revealed that the identified proteins had chaperone, protein binding, nucleotide binding, metal ion binding, isomerase activity, and motor activity. The functional distribution and the cysteine contents of the proteins were similar to those in the most comprehensive 2-D database of hepatoma cells (Seow et al.., Electrophoresis 2000, 21, 1787-1813), where silver staining was used for protein visualization. Hierarchical clustering on the basis of the quantitative expression profiles of the 123 characterized spots labeled with two charge- and mass-matched saturation dyes (Cy3 and Cy5) discriminated between nine hepatocellular carcinoma cell lines and primary cultured hepatocytes from five individuals, suggesting the utility of saturation dye and our database for proteomic studies of liver cancer.     

Generation of high‐quality protein extracts from formalin‐fixed,paraffin‐embedded tissues

A wealth of information on proteins involved in many aspects of disease is encased within formalin‐fixed paraffin‐embedded (FFPE) tissue repositories stored in hospitals worldwide. Recently, access to this “hidden treasure” is being actively pursued by the application of two main extraction strategies: digestion of the entangled protein matrix with generation of tryptic peptides, or decrosslinking and extraction of full‐length proteins. Here, we describe an optimised method for extraction of full‐length proteins from FFPE tissues. This method builds on the classical “antigen retrieval” technique used for immunohistochemistry, and allows generation of protein extracts with elevated and reproducible yields. In model animal tissues, average yields of 16.3 μg and 86.8 μg of proteins were obtained per 80 mm² tissue slice of formalin‐fixed paraffin‐embedded skeletal muscle and liver, respectively. Protein extracts generated with this method can be used for the reproducible investigation of the proteome with a wide array of techniques. The results obtained by SDS‐PAGE, western immunoblotting, protein arrays, ELISA, and, most importantly, nanoHPLC‐nanoESI‐Q‐TOF MS of FFPE proteins resolved by SDS‐PAGE, are presented and discussed. An evaluation of the extent of modifications introduced on proteins by formalin fixation and crosslink reversal, and their impact on quality of MS results, is also reported.     

Protein Extraction of Formalin-fixed, Paraffin-embedded Tissue Enables Robust Proteomic Profiles by Mass Spectrometry

Global mass spectrometry (MS) profiling and spectral count quantitation are used to identify unique or differentially expressed proteins and can help identify potential biomarkers. MS has rarely been conducted in retrospective studies, because historically, available samples for protein analyses were limited to formalin-fixed, paraffin-embedded (FFPE) archived tissue specimens. Reliable methods for obtaining proteomic profiles from FFPE samples are needed. Proteomic analysis of these samples has been confounded by formalin-induced protein cross-linking. The performance of extracted proteins in a liquid chromatography tandem MS format from FFPE samples and extracts from whole and laser capture microdissected (LCM) FFPE and frozen/optimal cutting temperature (OCT)–embedded matched control rat liver samples were compared. Extracts from FFPE and frozen/OCT–embedded livers from atorvastatin-treated rats were further compared to assess the performance of FFPE samples in identifying atorvastatin-regulated proteins. Comparable molecular mass representation was found in extracts from FFPE and OCT-frozen tissue sections, whereas protein yields were slightly less for the FFPE sample. The numbers of shared proteins identified indicated that robust proteomic representation from FFPE tissue and LCM did not negatively affect the number of identified proteins from either OCT-frozen or FFPE samples. Subcellular representation in FFPE samples was similar to OCT-frozen, with predominantly cytoplasmic proteins identified. Biologically relevant protein changes were detected in atorvastatin-treated FFPE liver samples, and selected atorvastatin-related proteins identified by MS were confirmed by Western blot analysis. These findings demonstrate that formalin fixation, paraffin processing, and LCM do not negatively impact protein quality and quantity as determined by MS and that FFPE samples are amenable to global proteomic analysis. (J Histochem Cytochem 57:849–860, 2009)     

2‐D PAGE and MS analysis of proteins from formalin‐fixed,paraffin‐embedded tissues

In the past decade, encouraging results have been obtained in extraction and analysis of proteins from formalin‐fixed, paraffin‐embedded (FFPE) tissues. However, 2‐D PAGE protein maps with satisfactory proteomic information and comparability to fresh tissues have never been described to date. In the present study, we report 2‐D PAGE separation and MS identification of full‐length proteins extracted from FFPE skeletal muscle tissue. The 2‐D protein profiles obtained from FFPE tissues could be matched to those achieved from frozen tissues replicates. Up to 250 spots were clearly detected in 2‐D maps of proteins from FFPE tissue following standard mass‐compatible silver staining. Protein spots from both FFPE and frozen tissue 2‐D gels were excised, subjected to in situ hydrolysis, and identified by MS analysis. Matched spots produced matched protein identifications. Moreover, 2‐D protein maps from FFPE tissues were successfully subjected to Western immunoblotting, producing comparable results to fresh‐frozen tissues. In conclusion, this study provides evidence that, when adequately extracted, full‐length proteins from FFPE tissues might be suitable to 2‐D PAGE‐MS analysis, allowing differential proteomic studies on the vast existing archives of healthy and pathological‐fixed tissues.     

Pressure-assisted protein extraction: a novel method for recovering proteins from archival tissue for proteomic analysis

Formaldehyde-fixed, paraffin-embedded (FFPE) tissue repositories represent a valuable resource for the retrospective study of disease progression and response to therapy. However, the proteomic analysis of FFPE tissues has been hampered by formaldehyde-induced protein modifications, which reduce protein extraction efficiency and may lead to protein misidentification. Here, we demonstrate the use of heat augmented with high hydrostatic pressure (40,000 psi) as a novel method for the recovery of intact proteins from FFPE mouse liver. When FFPE mouse liver was extracted using heat and elevated pressure, there was a 4-fold increase in protein extraction efficiency, a 3-fold increase in the extraction of intact proteins, and up to a 30-fold increase in the number of nonredundant proteins identified by mass spectrometry, compared to matched tissue extracted with heat alone. More importantly, the number of nonredundant proteins identified in the FFPE tissue was nearly identical to that of matched fresh-frozen tissue.     

Array CGH using whole genome amplification of fresh-frozen and formalin-fixed, paraffin-embedded tumor DNA

The ability to utilize formalin-fixed, paraffin-embedded (FFPE) archival specimens reliably for high-resolution molecular genetic analysis would be of immense practical application in the study of human disease. We have evaluated the ability of the GenomePlex whole genome amplification (WGA) kit to amplify frozen and FFPE tissue for use in array CGH (aCGH). GenomePlex gave highly representative data compared with unamplified controls both from frozen material (Pearson's R(2) = 0.898) and from FFPE (R(2) = 0.883). Artifactual amplification observed using DOP-PCR at chromosomes 1p, 3, 13q, and 16p was not seen with GenomePlex. Highly reproducible aCGH profiles were obtained using as little as 5 ng starting material from FFPE (R(2) = 0.918). This WGA method should readily lend itself to the determination of DNA copy number alterations from small fresh-frozen and FFPE clinical tumor specimens, although some care must be taken to optimize the DNA extraction procedure.     

Two methods for proteomic analysis of formalin‐fixed,paraffin embedded tissue result in differential protein identification,data quality,and cost

Formalin‐fixed paraffin‐embedded (FFPE) tissue is a rich source of clinically relevant material that can yield important translational biomarker discovery using proteomic analysis. Protocols for analyzing FFPE tissue by LC‐MS/MS exist, but standardization of procedures and critical analysis of data quality is limited. This study compared and characterized data obtained from FFPE tissue using two methods: a urea in‐solution digestion method (UISD) versus a commercially available Qproteome FFPE Tissue Kit method (Qkit). Each method was performed independently three times on serial sections of homogenous FFPE tissue to minimize pre‐analytical variations and analyzed with three technical replicates by LC‐MS/MS. Data were evaluated for reproducibility and physiochemical distribution, which highlighted differences in the ability of each method to identify proteins of different molecular weights and isoelectric points. Each method replicate resulted in a significant number of new protein identifications, and both methods identified significantly more proteins using three technical replicates as compared to only two. UISD was cheaper, required less time, and introduced significant protein modifications as compared to the Qkit method, which provided more precise and higher protein yields. These data highlight significant variability among method replicates and type of method used, despite minimizing pre‐analytical variability. Utilization of only one method or too few replicates (both method and technical) may limit the subset of proteomic information obtained.     

Proteomics strategy based on liquid-phase IEF and 2-D DIGE: application to bone marrow mesenchymal progenitor cells

Global comparative proteomics is a promising new approach with broad application in basic and clinical biological science. Recent advances include the development of 2-D DIGE, a proteomic equivalent to mRNA differential display, in which differentially labeled samples are multiplexed and analyzed by high-resolution 2-DE. This study presents a new 2-D DIGE protocol, in which complex protein samples from normal and leukemic human bone marrow mesenchymal progenitor cells were used as model samples for a novel combination of liquid-phase IEF with 2-D DIGE. Using liquid-phase IEF, the normal and leukemic cells were pre-fractionated into five subproteomes after multiplexing but prior to DIGE. Under these conditions, 2-D DIGE resolved >5000 protein-containing spots within the pH range 4.6-7.0. Differential labeling combined with subsequent MALDI-MS/MS identified proteins that were differentially expressed in leukemic cells. This analysis mapped protein identities to 128 mesenchymal progenitor cell proteins with at least one unique peptide match at >95% confidence. Of these proteins, 72 (56%) were expressed more than 1.25-fold higher or lower in leukemic cells compared with normal cells (p<0.05). These data were used to infer gene ontology biological processes that may be altered in leukemic bone marrow mesenchymal progenitor cells.     

Discovering robust protein biomarkers for disease from relative expression reversals in 2-D DIGE data

This study assesses the ability of a novel family of machine learning algorithms to identify changes in relative protein expression levels, measured using 2-D DIGE data, which support accurate class prediction. The analysis was done using a training set of 36 total cellular lysates comprised of six normal and three cancer biological replicates (the remaining are technical replicates) and a validation set of four normal and two cancer samples. Protein samples were separated by 2-D DIGE and expression was quantified using DeCyder-2D Differential Analysis Software. The relative expression reversal (RER) classifier correctly classified 9/9 training biological samples (p<0.022) as estimated using a modified version of leave one out cross validation and 6/6 validation samples. The classification rule involved comparison of expression levels for a single pair of protein spots, tropomyosin isoforms and alpha-enolase, both of which have prior association as potential biomarkers in cancer. The data was also analyzed using algorithms similar to those found in the extended data analysis package of DeCyder software. We propose that by accounting for sources of within- and between-gel variation, RER classifiers applied to 2-D DIGE data provide a useful approach for identifying biomarkers that discriminate among protein samples of interest.     

A novel experimental design for comparative two-dimensional gel analysis: two-dimensional difference gel electrophoresis incorporating a pooled internal standard

The comparison of two-dimensional (2-D) gel images from different samples is an established method used to study differences in protein expression. Conventional methods rely on comparing images from at least 2 different gels. Due to the high variation between gels, detection and quantification of protein differences can be problematic. Two-dimensional difference gel electrophoresis (Ettan trade mark DIGE) is an emerging technique for comparative proteomics, which improves the reproducibility and reliability of differential protein expression analysis between samples. In the application of DIGE different samples are labelled with mass and charge matched spectrally resolvable fluorescent dyes and are then separated on the same 2-D gel. Using an Escherichia coli lysate "spiked" with varying amounts of four different known proteins, we have tested a novel experimental design that exploits the sample multiplexing capabilities of DIGE, by including a standard sample in each gel. The standard sample comprises equal amounts of each sample to be compared and was found to improve the accuracy of protein quantification between samples from different gels allowing accurate detection of small differences in protein levels between samples.     

Cerebrospinal fluid-optimized two-dimensional difference gel electrophoresis (2-D DIGE) facilitates the differential diagnosis of Creutzfeldt-Jakob disease

So far only the detection of 14-3-3 proteins in cerebrospinal fluid (CSF) is included in the diagnostic criteria for sporadic Creutzfeldt-Jakob disease (sCJD). However, this assay cannot be used for screening because of the high rate of false positive results in sCJD, and often negative results in variant CJD. To facilitate the differential diagnosis of CJD, we applied 2-D differential gel-electrophoresis (2-D DIGE) as a quantitative proteomic screening system for CSF proteins. We compared 36 patients suffering from sCJD with 30 patients suffering from other neurodegenerative diseases. Sample preparation was optimized in consideration of the fact that CSF is composed of blood- and brain-derived proteins, and an improved 2-D DIGE protocol was established. Using this method in combination with protein identification by MALDI-TOF-MS, several known surrogate markers of sCJD like 14-3-3 protein, neuron-specific enolase, and lactate dehydrogenase were readily identified. Moreover, a not yet identified protein with an approximate molecular mass of 85 kDa was found as marker for sCJD with high diagnostic specificity and sensitivity. We conclude that our proteomic approach is useful to differentiate CJD from other neurodegenerative diseases and expect that CSF-optimized 2-D DIGE will find broad application in the search for other brain derived proteins in CSF.     

Proteomic signatures for histological types of lung cancer

We performed proteomic studies on lung cancer cells to elucidate the mechanisms that determine histological phenotype. Thirty lung cancer cell lines with three different histological backgrounds (squamous cell carcinoma, small cell lung carcinoma and adenocarcinoma) were subjected to two-dimensional difference gel electrophoresis (2-D DIGE) and grouped by multivariate analyses on the basis of their protein expression profiles. 2-D DIGE achieves more accurate quantification of protein expression by using highly sensitive fluorescence dyes to label the cysteine residues of proteins prior to two-dimensional polyacrylamide gel electrophoresis. We found that hierarchical clustering analysis and principal component analysis divided the cell lines according to their original histology. Spot ranking analysis using a support vector machine algorithm and unsupervised classification methods identified 32 protein spots essential for the classification. The proteins corresponding to the spots were identified by mass spectrometry. Next, lung cancer cells isolated from tumor tissue by laser microdissection were classified on the basis of the expression pattern of these 32 protein spots. Based on the expression profile of the 32 spots, the isolated cancer cells were categorized into three histological groups: the squamous cell carcinoma group, the adenocarcinoma group, and a group of carcinomas with other histological types. In conclusion, our results demonstrate the utility of quantitative proteomic analysis for molecular diagnosis and classification of lung cancer cells.