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PubMed2006

Integrated analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: zero-inflated Poisson regression models to predict abundance of undetected proteins.

MOTIVATION: Integrated analysis of global scale transcriptomic and proteomic data can provide important insights into the metabolic mechanisms underlying complex biological systems. However, because the relationship between protein abundance and mRNA expression level is complicated by many cellular and physical processes, sophisticated statistical models need to be developed to capture their relationship. RESULTS: In this study, we describe a novel data-driven statistical model to integrate whole-genome microarray and proteomic data collected from Desulfovibrio vulgaris grown under three different conditions. Based on the Poisson distribution pattern of proteomic data and the fact that a large number of proteins were undetected (excess zeros), zero-inflated Poisson (ZIP)-based models were proposed to define the correlation pattern between mRNA and protein abundance. In addition, by assuming that there is a probability mass at zero representing unexpressed genes and expressed proteins that were undetected owing to technical limitations, a Potential ZIP model was established. Two significant improvements introduced by this approach are (1) the predicted protein abundance level values for experimentally detected proteins are corrected by considering their mRNA levels and (2) protein abundance values can be predicted for undetected proteins (in the case of this study, approximately 83% of the proteins in the D.vulgaris genome) for better biological interpretation. We demonstrated the use of these statistical models by comparatively analyzing proteomic and microarray results from D.vulgaris grown on lactate-based versus formate-based media. These models correctly predicted increased expression of Ech hydrogenase and decreased expression of Coo hydrogenase for D.vulgaris grown on formate.

Adenosine Triphosphate↗
PubMed2002

[Proteomics in clinical research: new approach of mass spectrometry].

A proteome has been defined as the protein complement expressed by the genome of an organism, tissue, or differentiated cell. Knowledge of complete genome sequences has led to considerable effort being increasingly devoted to the large-scale study of proteomes, that is, 'proteomics'. Commonly, two proteomes are compared by a substructive analysis in which differences due to drug treatment, culture conditions, genetic variations, or diseases can be observed. Two-dimensional gel electrophoresis and mass spectrometry are commonly used for this purpose. We applied this approach to the analysis of vitreous humor(VH) proteins. Fifty-two different proteins were identified on silver-stained 2D-gel patterns with VH proteins obtained from diabetic retinopathy and macular hole. Thirty-five proteins, which have not reported in plasma, were found in VH. Pigment epithelium-derived factor, which was reported to be a potent inhibitor of angiogenesis in cornea and vitreous was at a higher concentration in VH with diabetes than in that with macular hole. It is impressive that the inhibitor increases in the vitreous with proliferative angiogenesis. Unique applications in proteomics promise a bright future for molecular biology and hopefully for clinical chemistry.

Aqueous Humor↗
PubMed2004

Androgens target prohibitin to regulate proliferation of prostate cancer cells.

Proteins involved in the growth response of prostate cancer cells to androgen were investigated by comparing the proteomes of LNCaP cells treated with vehicle or androgen. Whole-cell lysates were separated by two-dimensional PAGE, and HPLC-MS/MS was used to identify androgen-regulated proteins. Prohibitin, a protein with cell-cycle regulatory activity, was shown to be downregulated by 50% following androgen stimulation. Western blot and reverse transcription-PCR experiments confirmed the result and showed that regulation occurs at the level of transcription. To determine the importance of prohibitin in androgen-stimulated growth, we used transient transfection to overexpress the protein and RNA interference to knock down the protein. Subsequent FACS analysis showed that cells with reduced levels of prohibitin showed a slight but reproducible increase in the percentage of population in cell cycle, while cells with increased prohibitin levels showed a clear reduction in the percentage entering cell cycle, following dihydrotestosterone stimulation, when compared to untransfected controls. Confocal microscopy showed localization of prohibitin in the nucleus as well as the mitochondria of LNCaP cells. It therefore seems that the regulation of prohibitin is a vital part of the cellular growth response to androgen stimulation in LNCaPs and prohibitin may have a nuclear regulatory role in cell-cycle progression.

Amino Acid Sequence↗
PubMed2026

From Variability to Consensus: Rescoring Harmonizes Peptide Identification across Diverse Search Engines and Data Sets.

Peptide-spectrum match (PSM) rescoring has become standard in proteomics workflows, improving peptide identification accuracy across diverse search engines. Despite the availability of multiple rescoring strategies, systematic comparisons spanning several search engines, data sets, and database configurations remain limited. Here, we benchmarked seven publicly available search engines, evaluating standard target-decoy-based false discovery rate (FDR) estimation alongside Percolator, MS2Rescore, and Oktoberfest across four data sets acquired on different mass spectrometry platforms in data-dependent mode and searched against protein databases of varying size and composition. Rescoring substantially increased identification consensus and reduced variability between search engines, with prediction-based approaches yielding the largest gains. While database size had limited impact for human data sets, it significantly affected identification rates on a metaproteomic data set. Entrapment-based evaluation indicated generally adequate FDR control across methods, although prediction-based rescoring exhibited a higher tendency toward FDR underestimation in specific configurations. Overall, advanced rescoring strategies harmonize peptide identification outcomes across search engines, thereby enhancing robustness and comparability in proteomics analyses. However, careful feature selection and appropriate database choice remain essential to ensure reliable FDR control and optimal performance across diverse experimental settings.

Search Engine↗
PubMed2005

Proteomic analysis of aqueous humour from patients with acute corneal rejection.

PURPOSE: To compare the basic proteomic composition of aqueous humour (AH) from patients with corneal rejection (patients) with AH from patients with cataract (controls). METHODS: Aqueous humour was analysed for total protein concentration using Bradford's method and for protein composition using two-dimensional (2D) gel electrophoresis. Image analysis was used to detect protein spots in 2D gels that were increased by more than factor 2 in patients as compared with controls. Increased spots were identified by immunoblotting and mass spectrometry. RESULTS: Aqueous humour from patients contained significantly higher total protein concentration than did AH from controls. A total of 31 spots were significantly increased in 2D gels from patients. The spots were derived from albumin, alpha1-antitrypsin, apolipoprotein J, cytokeratin type II, serin proteinase inhibitor and transthyretin. After correction of spot volumes by total protein concentrations, 10 spots derived from albumin, cytokeratin type II and alpha1-antitrypsin remained significantly increased. CONCLUSION: The proteomic composition of AH differed significantly between patients and controls. The identified proteins suggest that the changes in AH are due to at least three different mechanisms: breakdown of the aqueous-blood barrier, enzymatic degradation, and liberation of locally synthesized proteins.

Aged↗
PubMed2006

Differential protein expression of murine macrophages upon interaction with Candida albicans.

Numerous studies highlight the importance of macrophages for optimal host protection against systemic Candida albicans infections. We chose the murine macrophage cell line RAW 264.7 and the wild-type strain C. albicans SC5314 to study of the induced expression/repression of proteins in macrophages when they are in contact with C. albicans, based on 2-DE, comparison between different gels and protein identification. RAW 264.7 cells were allowed to interact with C. albicans cells for 45 min, and a significant differential protein expression was observed in these macrophages compared to controls. Gels were stained with SYPRO Ruby, allowing a better quantification of the intensity of the protein spots. Fifteen spots were up-regulated, whereas 32 were down-regulated; 60 spots appeared and 49 disappeared. Among them, we identified 11 proteins: annexin I, LyGDI (GDID4), Hspa5 (Grp78, Bip), tropomyosin 5 and L-plastin, that augment; and Eif3s5, Hsp60, Hspa9a, Grp58 (ER75), and Hspa8a (Hsc70), that decrease. The translation elongation factor (Eef2p) is modified in some of its different protein species. Many processes seem to be affected: cytoskeletal organisation, oxidative responses (superoxide and nitric oxide production) and protein biosynthesis and refolding.

Animals↗
PubMed2004

Dissection of the mammalian midbody proteome reveals conserved cytokinesis mechanisms.

Cytokinesis is the essential process that partitions cellular contents into daughter cells. To identify and characterize cytokinesis proteins rapidly, we used a functional proteomic and comparative genomic strategy. Midbodies were isolated from mammalian cells, proteins were identified by multidimensional protein identification technology (MudPIT), and protein function was assessed in Caenorhabditis elegans. Of 172 homologs disrupted by RNA interference, 58% displayed defects in cleavage furrow formation or completion, or germline cytokinesis. Functional dissection of the midbody demonstrated the importance of lipid rafts and vesicle trafficking pathways in cytokinesis, and the utilization of common membrane cytoskeletal components in diverse morphogenetic events in the cleavage furrow, the germline, and neurons.

Animals↗
PubMed2002

Analysis of the human lumbar cerebrospinal fluid proteome.

Idiopathic low back pain has no known cause, and the molecular basis is unknown. Neuropeptidergic systems have been previously studied, and proteomics methods have been applied in this present study. Proteomics combines high-resolution two-dimensional (2-D) gel electrophoresis, high-sensitivity mass spectrometry, and continuously expanding protein databases. Proteomics offers a comprehensive, bird's-eye view to analyze, at a systems level, all of the proteins in cerebrospinal fluid (CSF) that might contribute to idiopathic low back pain. CSF contains a high salt concentration and low protein concentration. In order to obtain a high-quality 2-D pattern, several sample preparation methods were tested to remove salts - protein precipitation with either acetone or trichloroacetic acid/acetone, or sample treatment with a Bio-Spin column. More spots were visualized on the 2-D gel of human CSF, and a relatively high protein recovery was obtained when a Bio-Spin column was used to process a human CSF sample. Sixty-one protein spots, obtained from 2-D gels with a pH range of either 3-10 or 4-7, were identified by matrix assisted laser desorption/ionization-mass spectrometry (MALDI-MS) and MALDI-post-source decay (PSD)-MS. These 61 protein spots represent 22 proteins; six of those proteins were not annotated in any previously published 2-D maps. Those six proteins are PRO2619, pigment epithelium-derived factor, albumin homolog, kallikrein-6 precursor, DJ717I23.1, and AMBP protein precursor. These protein-mapping data will contribute to the database that will be used in the future to compare the proteomes obtained from the CSF of controls and low back pain patients, to characterize differentially expressed proteins, and to elucidate the biological markers for idiopathic low back pain.

Amino Acid Sequence↗
PubMed2026

Integrative multi-omics analysis unravels the metabolic landscape and reveals serum biomarkers for early diagnosis of hyperuricemia.

BACKGROUND: Hyperuricemia (HUA) is a major risk factor for gout and multiple metabolic disorders. Although serum uric acid (UA) is the gold standard for HUA diagnosis, it fails to reflect early metabolic disturbances and shows limited predictive value for asymptomatic HUA. This study sought to elucidate the pathological mechanisms underlying HUA and identify novel diagnostic biomarkers beyond UA. METHODS: This study enrolled 195 patients with HUA and 98 healthy controls. Global metabolomics and proteomics profiling were performed to characterize molecular alterations underlying HUA. Based on the biological relevance of the shared dysregulated pathways, a pathway correlation network was constructed to elucidate the pathological mechanisms driving HUA initiation and progression. Furthermore, diagnostic biomarkers for HUA were identified using machine learning algorithms, and were validated with an external cohort. RESULTS: HUA patients exhibited distinct metabolic and proteomic profiles compared with healthy controls. Integrated multi-omics pathway analysis revealed that peroxisome proliferators-activated receptor signaling pathway, arachidonic acid metabolism, purine metabolism, pyrimidine metabolism and sphingolipid signaling pathway were significantly dysregulated in HUA. Among them, arachidonic acid metabolism was identified as a hub pathway involved in HUA progression. Furthermore, a metabolite panel consisting of cysteine-S-sulfate, glycerophosphocholine and 4-hydroxyphenylpyruvic acid was screened by machine learning and validated in an independent cohort, which showed slightly higher diagnostic performance for HUA than UA. CONCLUSIONS: This study reveals the core metabolic and protein regulatory networks of HUA, and identifies a novel serum metabolite panel for the diagnosis of HUA. These findings provide new insights for improved clinical diagnosis and management.

Humans↗
PubMed2004

A bioinformatics analysis of alternative exon usage in human genes coding for extracellular matrix proteins.

Alternative splicing increases protein diversity through the generation of different mRNA molecules from the same gene. Although alternative splicing seems to be a widespread phenomenon in the human transcriptome, it is possible that different subgroups of genes present different patterns, related to their biological roles. Analysis of a subgroup may enhance common features of its members that would otherwise disappear amidst a heterogeneous population. Extracellular matrix (ECM) proteins are a good set for such analyses since they are structurally and functionally related. This family of proteins is involved in a large variety of functions, probably achieved by the combinatorial use of protein domains through exon shuffling events. To determine if ECM genes have a different pattern of alternative splicing, we compared clusters of expressed sequences of ECM to all other genes regarding features related to the most frequent type of alternative splicing, alternative exon usage (AEU), such as: the number of alternative exon-intron structures per cluster, the number of AEU events per exon-intron structure, the number of exons per event, among others. Although we did not find many differences between the two sets, we observed a higher frequency of AEU events involving entire protein domains in the ECM set, a feature that could be associated with their multi-domain nature. As other subgroups or even the ECM set in different tissues could present distinct patterns of AEU, it may be premature to conclude that alternative splicing is homogeneous among groups of related genes.

Alternative Splicing↗
PubMed2005

A proteomic approach for investigation of photosynthetic apparatus in plants.

The proteome of the photosynthetic apparatus of barley (Hordeum vulgare), obtained by analysis of thylakoids without any previous fractionation, was mapped by native electrophoresis followed by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) as the second dimension two-dimensional-blue native (2-D/BN)/SDS-PAGE). This protocol provided an excellent alternative to the 2-D-isoelectric focusing/sodium dodecyl sulfate-polyacrylamide gel electrophoresis for 2-D separation of the most hydrophobic thylakoid proteins. Monocots and dicots showed significant differences in the first dimension while in the second dimension patterns appeared similar. Identification of each spot was performed by internal peptide primary sequence determination using both nano-electrospray ionization tandem mass spectrometry and, to a lesser extent, peptide mass fingerprinting matrix-assisted laser desorption/ionization-time of flight using MALDI-TOF. This is due in particular to the fact that a limited number of peptides was obtained after trypsin digestion of these highly hydrophobic proteins. A larger number of peptides from hydrophilic intermembrane domains of transmembrane proteins were detected. Despite this, about 70% of the expected proteins were identified, including proteins with grand average of hydropathicity scores higher than 0.5. It is therefore reasonable to assert that protein hydrophobicity is not the limiting factor. Small proteins were not well identified with trypsin digestion. Instead some of these could be identified using acid hydrolysis. The method presented here does not require prefractionation of different thylakoid complexes and consequently gives confidence in comparing the proteome of the photosynthetic apparatus before and after treatment. It thus allows us to understand the molecular mechanisms underlying physiological adaptations of higher plants and to perform screening of photosynthetic mutants.

Chlorophyll↗
PubMed2003

Global metabolic regulation analysis for Escherichia coli K12 based on protein expression by 2-dimensional electrophoresis and enzyme activity measurement.

Regulation of the main metabolic pathways of Escherichia coli K12 was investigated based on 2-dimensional electrophoresis (2DE) and the measurement of enzyme activities. The cells were grown aerobically in different carbon sources, such as glucose, acetate, gluconate or glycerol. Microaerobic cultivation was also conducted with glucose as a carbon source. Fifty-two proteins could be identified based on 2DE, and 26 enzyme activities from the main metabolic pathways-including glycolysis, pentose phosphate pathway, TCA cycle, Entner-Doudoroff pathway and fermentative pathway-were assayed. These enzyme activities, together with global and quantitative protein expression, gave us a clear picture of metabolic regulation. The results show that, compared with the control experiment with glucose as a carbon source under aerobic conditions, glycolytic enzymes were slightly up-regulated (<2-fold), TCA cycle enzymes were significantly down-regulated (2- to 10-fold), and fermentative enzymes such as pfl and adhE were highly up-regulated (>10-fold) under microaerobic conditions in glucose medium. When acetate was used as a carbon source, pfkA, pykF, ppc and zwf were down-regulated, while fbp, pckA, ppsA and mez were significantly up-regulated. Glyoxylate enzymes such as aceA and aceB were strongly up-regulated (>10-fold) and TCA-cycle-related enzymes were also up-regulated to some extent. With gluconate as a carbon source, edd, eda, fbp and TCA cycle enzymes were up-regulated. With glycerol as a carbon source, fbp and TCA cycle enzymes were up-regulated, while ackA was significantly down-regulated. Protein abundance obtained by 2DE correlated well with enzyme activity, with a few exceptions (e.g., isocitrate dehydrogenase), during aerobic growth on acetate.

Electrophoresis, Gel, Two-Dimensional↗
PubMed2005

Towards the proteome of the marine bacterium Rhodopirellula baltica: mapping the soluble proteins.

The marine bacterium Rhodopirellula baltica, a member of the phylum Planctomycetes, has distinct morphological properties and contributes to remineralization of biomass in the natural environment. On the basis of its recently determined complete genome we investigated its proteome by 2-DE and established a reference 2-DE gel for the soluble protein fraction. Approximately 1000 protein spots were excised from a colloidal Coomassie-stained gel (pH 4-7), analyzed by MALDI-MS and identified by PMF. The non-redundant data set contained 626 distinct protein spots, corresponding to 558 different genes. The identified proteins were classified into role categories according to their predicted functions. The experimentally determined and the theoretically predicted proteomes were compared. Proteins, which were most abundant in 2-DE gels and the coding genes of which were also predicted to be highly expressed, could be linked mainly to housekeeping functions in glycolysis, tricarboxic acid cycle, amino acid biosynthesis, protein quality control and translation. Absence of predictable signal peptides indicated a localization of these proteins in the intracellular compartment, the pirellulosome. Among the identified proteins, 146 contained a predicted signal peptide suggesting their translocation. Some proteins were detected in more than one spot on the gel, indicating post-translational modification. In addition to identifying proteins present in the published sequence database for R. baltica, an alternative approach was used, in which the mass spectrometric data was searched against a maximal ORF set, allowing the identification of four previously unpredicted ORFs. The 2-DE reference map presented here will serve as framework for further experiments to study differential gene expression of R. baltica in response to external stimuli or cellular development and compartmentalization.

Bacteria↗
PubMed2005

The influence of different cultivation conditions on the metabolome of Fusarium oxysporum.

The two most widespread pentose sugars found in the biosphere are d-xylose and l-arabinose. They are both potential substrates for ethanol production. The purpose of this study was to better understand the redox constraints imposed to Fusarium oxysporum during utilization of pentoses. In order to increase ethanol yield and decrease by-product formation, nitrate was used as nitrogen source. The use of NADH, the cofactor in denitrification process when using nitrate as a nitrogen source, improved the ethanol yield on xylose to 0.89 mol mol(-1) compared to the ethanol yield achieved using ammonium as nitrogen source 0.44 mol mol(-1). The improved ethanol yield was followed by a 28% decrease in yield of the by-product xylitol. In order to investigate the metabolic pathway of arabinose and the metabolic limitations for the efficient ethanol production from this sugar, the extracellular and intracellular metabolite profiles were determined under aerobic and anaerobic cultivation conditions. The results of this study clearly show difficulties in channelling of glucose-1-P (G1P) to pentose phosphate pathway (PPP) and reduced NADPH regeneration, suggesting that NADPH becomes a limiting factor for arabinose conversion, resulting in excessive acetate production. Variations of the fungus intracellular amino and non-amino acid pool, under different culture conditions, were evaluated using principal component analysis (PCA). PCA projection of the metabolome data collected from F. oxysporum subjected to environmental perturbations succeeded to visualize different physiological states and the conclusions of this study were that the metabolite profile is unique according to: (1) the carbon source and (2) the oxygen supply, and to a lesser extent to the cultivation phase.

Adaptation, Physiological↗
PubMed2005

Comparative glycoproteomics of N-linked complex-type glycoforms containing sialic acid in human serum.

This study describes a simple and efficient approach for comparative analysis of sialylated glycoforms of proteins containing differentially branched complex-type glycans. The analytical protocol is based on glycopeptide selection from tryptic digests with serial lectin affinity chromatography (SLAC), quantification with global internal standard technology, fractionation of deglycosylated peptides with reversed-phase chromatography, and peptide sequencing with tandem mass spectrometry. Fractionation of complex tri- and tetraantennary N-linked glycoforms from biantennary N-linked glycoforms bearing terminal sialic acid residues was achieved using a set of serial lectin columns with immobilized Sambucus nigra agglutinin and concanavalin A. These two fractions from the affinity selection were differentially labeled, mixed, and then deglycosylated with the enzyme PNGase F. The deglycosylated sample was further fractionated by reversed-phase chromatography and analyzed by electrospray ionization mass spectrometry. The SLAC strategy was applied to tryptic digests of human serum, and it was found that most sialylated glycopeptides identified carry more biantennary glycans than tri- and tetraantennary glycans, and the relative amount of biantennary glycan versus tri- and tetraantennary glycans was different at separate glycosylation sites within the same glycoprotein.

Amino Acid Sequence↗
PubMed2004

Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments.

MOTIVATION: There has been much interest in using patterns derived from surface-enhanced laser desorption and ionization (SELDI) protein mass spectra from serum to differentiate samples from patients both with and without disease. Such patterns have been used without identification of the underlying proteins responsible. However, there are questions as to the stability of this procedure over multiple experiments. RESULTS: We compared SELDI proteomic spectra from serum from three experiments by the same group on separating ovarian cancer from normal tissue. These spectra are available on the web at http://clinicalproteomics.steem.com. In general, the results were not reproducible across experiments. Baseline correction prevents reproduction of the results for two of the experiments. In one experiment, there is evidence of a major shift in protocol mid-experiment which could bias the results. In another, structure in the noise regions of the spectra allows us to distinguish normal from cancer, suggesting that the normals and cancers were processed differently. Sets of features found to discriminate well in one experiment do not generalize to other experiments. Finally, the mass calibration in all three experiments appears suspect. Taken together, these and other concerns suggest that much of the structure uncovered in these experiments could be due to artifacts of sample processing, not to the underlying biology of cancer. We provide some guidelines for design and analysis in experiments like these to ensure better reproducible, biologically meaningfully results. AVAILABILITY: The MATLAB and Perl code used in our analyses is available at http://bioinformatics.mdanderson.org

Algorithms↗
PubMed2006

Comparative serum glycoproteomics using lectin selected sialic acid glycoproteins with mass spectrometric analysis: application to pancreatic cancer serum.

A strategy is developed in this study for identifying sialylated glycoprotein markers in human cancer serum. This method consists of three steps: lectin affinity selection, a liquid separation and characterization of the glycoprotein markers using mass spectrometry. In this work, we use three different lectins (Wheat Germ Agglutinin, (WGA) Elderberry lectin,(SNA), Maackia amurensis lectin, (MAL)) to extract sialylated glycoproteins from normal and cancer serum. Twelve highly abundant proteins are depleted from the serum using an IgY-12 antibody column. The use of the different lectin columns allows one to monitor the distribution of alpha(2,3) and alpha(2,6) linkage type sialylation in cancer serum vs that in normal samples. Extracted glycoproteins are fractionated using NPS-RP-HPLC followed by SDS-PAGE. Target glycoproteins are characterized further using mass spectrometry to elucidate the carbohydrate structure and glycosylation site. We applied this approach to the analysis of sialylated glycoproteins in pancreatic cancer serum. Approximately 130 sialylated glycoproteins are identified using microLC-MS/MS. Sialylated plasma protease C1 inhibitor is identified to be down-regulated in cancer serum. Changes in glycosylation sites in cancer serum are also observed by glycopeptide mapping using microLC-ESI-TOF-MS where the N83 glycosylation of alpha1-antitrypsin is down regulated. In addition, the glycan structures of the altered proteins are assigned using MALDI-QIT-MS. This strategy offers the ability to quantitatively analyze changes in glycoprotein abundance and detect the extent of glycosylation alteration as well as the carbohydrate structure that correlate with cancer.

Case-Control Studies↗
PubMedDate not supplied

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.

B-Lymphocytes↗