An improved quantitative mass spectrometry analysis of tumor specific mutant proteins at high sensitivity

New disease specific biomarkers, especially for cancer, are urgently needed to improve individual diagnosis, prognosis, and treatment selection, that is, for personalized medicine. Genetic mutations that affect protein function drive cancer. Therefore, the detection of such mutations represents a source of cancer specific biomarkers. Here we confirm the implementation of the mutant protein specific immuno‐SRM (where SRM is selective reaction monitoring) mass spectrometry method of RAS proteins reported by Wang et al. [Proc. Natl. Acad. Sci. USA 2011, 108, 2444–2449], which exploits an antibody to simultaneously capture the different forms of the target protein and the resolving power and sensitivity of LC‐MS/MS and improve the technique by using a more sensitive mass spectrometer. The mutant form G12D was quantified by SRM on a QTRAP 5500 mass spectrometer and the MIDAS workflow was used to confirm the sequence of the targeted peptides. This assay has been applied to quantify wild type and mutant RAS proteins in patient tumors, xenografted human tissue, and benign human epidermal tumors at high sensitivity. The limit of detection for the target proteins was as low as 12 amol (0.25 pg). It requires low starting amounts of tissue (ca.15 mg) that could be obtained from a needle aspiration biopsy. The described strategy could find application in the clinical arena and be applied to the study of expression of protein variants in disease.     

SRM targeted proteomics in search for biomarkers of HCV-induced progression of fibrosis to cirrhosis in HALT-C patients

The current gold standard for diagnosis of hepatic fibrosis and cirrhosis is the traditional invasive liver biopsy. It is desirable to assess hepatic fibrosis with noninvasive means. Targeted proteomic techniques allow an unbiased assessment of proteins and might be useful to identify proteins related to hepatic fibrosis. We utilized selected reaction monitoring (SRM) targeted proteomics combined with an organ-specific blood protein strategy to identify and quantify 38 liver-specific proteins. A combination of protein C and retinol-binding protein 4 in serum gave promising preliminary results as candidate biomarkers to distinguish patients at different stages of hepatic fibrosis due to chronic infection with hepatitis C virus (HCV). Also, alpha-1-B glycoprotein, complement factor H and insulin-like growth factor binding protein acid labile subunit performed well in distinguishing patients from healthy controls.     

Simultaneous determination of 18 tetrahydrocorticosteroid sulfates in human urine by liquid chromatography/electrospray ionization-tandem mass spectrometry

A liquid chromatography (LC)/electrospray ionization (ESI)-mass spectrometry (MS) method for the direct determination of eighteen tetrahydrocorticosteroid sulfates in human urine has been developed. The analytes were 3- and 21-monosulfates and 3,21-disulfates of tetrahydrocortisol (THF), tetrahydrocortisone (THE), tetrahydro-11-deoxycortisol (THS), and their corresponding 5α-H stereoisomers. The mass spectrometric behavior of these sulfates in negative-ion ESI-MS/MS revealed the production of intense structure specific product ions within the same group of sulfates and permitted distinction between regioisomeric sulfates by collision-induced fragmentation with the MS/MS technique using a linear ion-trap instrument. For the quantitative analysis, selected reaction monitoring analysis in the negative-ion detection mode using triple-stage quadrupole mass spectrometer was performed by monitoring transitions from [M−H]⁻ to the most abundant product ion of each tetrahydrocorticosteroid sulfate. After addition of 3- and 21-monosulfates of [2,2,3β,4,4-d₅]-THF, -THE, and -THS as internal standards, urine sample was applied to a solid phase extraction using a lipophilic-weak anion exchange cartridge column, and then analyzed by LC/ESI-MS/MS. The method had satisfactory performance in terms of intra- and inter-assay precision (less than 9.7% and 9.6%, respectively), and accuracy (91.2–108.2%). The limit of quantification was lower than 2.5 ng/mL for all sulfates examined. We applied this method to determine the concentration of eighteen tetrahydrocorticosteroid sulfates in the urine of healthy subjects. Thus, we have developed a sensitive, precise and accurate assay for urinary tetrahydrocorticosteroid sulfates that should be useful for clinical and biological studies.     

Capillary gas chromatography using electron capture or selected ion monitoring detection for the determination of muramic acid,diaminopimelic acid and the ratio of d/l-alanine in bacteria

Gas chromatographic analyses of muramic acid, diaminopimelic acid and D-alaline, which are specific components of the bacterial cell wall, have been performed using electron capture or selected ion monitoring detection. Intact cells or peptidogylycan preparations were hydrolyzed in HCl and DCl. After purification by cation exchange chromatography, followed by conversion to the N-heptafluobutyrliso-butyl esters, the components were separated on a 25 m fused silica column coated with SE-54 or on a chiral glass capillary column.The detection limits for muramic acid and diaminopimelic acid were about 10 pg using either detection method and the procedure has the potential sensitivity for detecting about 3 × 10⁵ bacterial cells, e.g., Escherichia coli.Mass spectrometric determination of the d/l ratio of alamine in intact cells of Group A streptococci, type M 15 and in peptidogylcan preparations thereof indicated the proportions 10.2% and 10.5% of D-alanine, respectively. The values uncorrected for racemization during acid hydrolysis were 10.3% and 10.7%, respectively.     

Molecular dosimetry of the mutagen ethyl methanesulfonate in Drosophila melanogaster spermatozoa: linear relation of DNA alkylation per sperm cell (dose) to sex-linked recessive lethals.

The dosage-response curve for EMS was determined with dose measured as ethylations of DNA per sperm cell, and response measured as the relative frequency of sex-linked recessive lethals induced in sperm cells of Drosophila melanogaster. Dose can be converted to ethylations per nucleotide of DNA by dividing ethylations of DNA per sperm cell by 3 X 10(8) nucleotides per sperm cell. Adult males were exposed to equal amounts of either [3H]EMS for determining dose or nonlabeled EMS for determining mutational response. By feeding EMS for 24 h in a concentration of 25 mM, a high dose of 1.4 X 10(-2) ethylations per nucleotide was observed. With 1.4% of the nucleotides ethylated, 57% of the X-chromosomes were hemizygously viable; therefore, ethylation per se is not very efficient in inducing mutations. The relative frequency of mutations increased linearly with the dose from a dose of 2.1 X 10(-4) to 1.4 X 10(-2) ethylations per nucleotide. No threshold was apparent, and the statistical limits of the exponent, 1.0 +/- 0.1, excluded an exponent as high as 1.2. This linear relation suggests no change in mechanism of mutagenesis occurs from low to high dose in Drosophila. A nonlinear relation was found between exposure and dose; when exposure was increased by a factor of 250 (from 0.1 to 25 mM EMS in the feeding medium) dose was increased by a factor of only 68. By extrapolating down from our lowest dose of 2.1 X 10(-4) ethylations per nucleotide with an observed frequency of 0.55% +/- 0.08% sex-linked recessive lethals, we estimate the doubling dose for sex-linked recessive lethals to be 4 X 10(-5) ethylations per nucleotide.     

Assessment of the influence of the patient’s inflammatory state on the accuracy of a haptoglobin selected reaction monitoring assay

Background

The use of targeted LC-MS/MS methods for protein quantitation in clinical laboratories implies a careful evaluation of potential sources of analytical interference. In this study, we investigated whether inflammation, which is associated with both the release of proteolytic enzymes and increased expression of acute phase protease inhibitors, is affecting the accuracy of a haptoglobin selected reaction monitoring (SRM) assay.

Results

A SRM assay was developed and used to quantify haptoglobin in 57 human serum samples. The SRM assay had CVs (n = 6) of 12.9% at 698 mg/L and 11.8% at 1690 mg/L. Results of the SRM assay were compared to those of a commercial immunonephelometric test. Passing-Bablok regression gave a proportional bias of 0.92 (95% CI: 0.82 to 1.04) and a constant bias of 75.40 (95% CI: −71.09 to 251.04), indicating that SRM and immunonephelometric assays provided comparable results. We then investigated whether the accuracy of the SRM assay was influenced by the patient’s inflammatory state by assessing the relationship between the serum CRP concentration and the bias between the two methods. No correlation was found between the SRM/immunoassay bias and the CRP concentration (Pearson correlation coefficient r = 0.0898).

Conclusions

These data indicate that neither the release of proteolytic enzymes nor the increased level of protease inhibitors occurring during inflammation processes have a significant impact on the haptoglobin SRM assay accuracy. Such studies provide important information about potential sources of analytical interferences in protein SRM assays.

Electronic supplementary material

The online version of this article (doi:10.1186/1559-0275-11-38) contains supplementary material, which is available to authorized users.     

Quantifying proteins by mass spectrometry: The selectivity of SRM is only part of the problem

Precise and accurate protein quantification is critical to many areas of proteomics. Antibody‐based approaches are costly and time‐consuming to develop, consequently, there is considerable interest in alternative quantitative methods that are versatile and can be implemented without the considerable delays associated with antibody development and characterization. Approaches based on MS have therefore attracted considerable attention and are now frequently touted as the most practical and powerful of all options. Nevertheless, there are serious limitations associated with quantifying a protein based on tandem mass analysis of one or two peptides generated by either chemical or enzymatic cleavage. In an accompanying Viewpoint article, Molloy and coworkers point out that selectivity is not necessarily guaranteed despite the power of SRM. Here we address an additional concern that can also compromise specificity. In complex mammalian systems, multiple proteins can serve as precursors of a single peptide and consequently, depending on the peptide(s) selected, protein levels may be significantly under‐ or overestimated.     

Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles)

Policies supporting the rapid and open sharing of proteomic data are being implemented by the leading journals in the field. The proteomics community is taking steps to ensure that data are made publicly accessible and are of high quality, a challenging task that requires the development and deployment of methods for measuring and documenting data quality metrics. On September 18, 2010, the U.S. National Cancer Institute (NCI) convened the "International Workshop on Proteomic Data Quality Metrics" in Sydney, Australia, to identify and address issues facing the development and use of such methods for open access proteomics data. The stakeholders at the workshop enumerated the key principles underlying a framework for data quality assessment in mass spectrometry data that will meet the needs of the research community, journals, funding agencies, and data repositories. Attendees discussed and agreed upon two primary needs for the wide use of quality metrics: (i) an evolving list of comprehensive quality metrics and (ii) standards accompanied by software analytics. Attendees stressed the importance of increased education and training programs to promote reliable protocols in proteomics. This workshop report explores the historic precedents, key discussions, and necessary next steps to enhance the quality of open access data. By agreement, this article is published simultaneously in Proteomics, Proteomics Clinical Applications, Journal of Proteome Research, and Molecular and Cellular Proteomics, as a public service to the research community. The peer review process was a coordinated effort conducted by a panel of referees selected by the journals.     

Sigpep: calculating unique peptide signature transition sets in a complete proteome background

We have created a new software platform called sigpep that analyzes transition redundancy in selected reaction monitoring assays. Building on this platform, we also created a web application to generate transition sets with unique signatures for targeted peptides. The platform has been made available under the permissive Apache 2.0 open-source license, and the web application can be accessed from http://iomics.ugent.be/sigpep.     

Identification of TEX101-associated Proteins Through Proteomic Measurement of Human Spermatozoa Homozygous for the Missense Variant rs35033974,

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Highlights

• •Missense variant rs35033974 resulted in significantly reduced levels of human TEX101 protein in seminal plasma and spermatozoa.
• •Differential proteomics revealed TEX101-associated testis-specific proteins, including LY6K, which were down-regulated in rs35033974^hh spermatozoa.
• •Deep proteome of human spermatozoa, including some “missing” proteins, was identified.