QuantiSpec — Quantitative mass spectrometry data analysis of 15N-metabolically labeled proteins

For relative protein quantitation by mass spectrometry we metabolically labeled E. coli bacteria with ¹⁵N-enriched diets. Proteins extracted from ¹⁵N-labeled and unlabeled E. coli bacteria were mixed, separated by two-dimensional gel electrophoresis and enzymatically digested. The resulting tryptic peptides were analyzed by MALDI mass spectrometry. For the relative protein quantitation we developed fully automated software, QuantiSpec (Quantitative Mass Spectrometry Analysis Software), which uses data from MALDI TOF mass spectrometry and the Mascot database search engine. QuantiSpec detects natural as well as partially or fully labeled peptide isotope distributions. For each identified peptide the ¹⁵N incorporation rate is determined by comparing the experimental to a set of theoretical isotope patterns based on the peptide sequence. Relative quantitation is accomplished by calculating the signal intensity ratios for each ¹⁴N/¹⁵N peptide pair.     

The 15N isotope effect in Escherichia coli: A neutron can make the difference

Several techniques based on stable isotope labeling are used for quantitative MS. These include stable isotope metabolic labeling methods for cells in culture as well as live organisms with the assumption that the stable isotope has no effect on the proteome. Here, we investigate the ¹⁵N isotope effect on Escherichia coli cultures that were grown in either unlabeled (¹⁴N) or ¹⁵N‐labeled media by LC‐ESI‐MS/MS‐based relative protein quantification. Consistent protein expression level differences and altered growth rates were observed between ¹⁴N and ¹⁵N‐labeled cultures. Furthermore, targeted metabolite analyses revealed altered metabolite levels between ¹⁴N and ¹⁵N‐labeled bacteria. Our data demonstrate for the first time that the introduction of the ¹⁵N isotope affects protein and metabolite levels in E. coli and underline the importance of implementing controls for unbiased protein quantification using stable isotope labeling techniques.     

High-Efficiency and Robust Expression System for Stable Isotope-Labeled Peptides

Ubiquitin–peptide fusion protein system enables preparation of stable isotope labeled peptides through the expression of the protein in E. coli cells in labeled media (Kohno et al. (1998) J Biomol NMR 12:109–121). Advantages of the system over others include: very specific cleavage of the bond between ubiquitin and target peptide moieties by yeast ubiquitin hydrolase and low cost for the protease which can also be expressed in E. coli cells. The former point is particularly important since other frequently used proteases, such as factor Xa and thrombin, often show non-specific cleavages at sites unexpected from their nominal specificities. We improved the yield of the peptide by adapting the codon usage of ubiquitin gene for the expression in E. coli cells, by using RNase E-deficient host strains, and by modifying purification procedure. The yield of mastoparan-X was increased threefold by these modifications. We also succeeded in the preparation of labeled magainin 2, an antimicrobial peptide that could not be expressed at all by the previous method, by choosing host strains and culture media. The HSQC signals of the ¹⁵N-labeled magainin 2 in an aqueous solution were completely resolved in spite of the severe overlap of the 1D proton signals, confirming that the stable isotope labeling is quite useful for analysis of peptides.     

Platform development for expression and purification of stable isotope labeled monoclonal antibodies in Escherichia coli

The widespread use of monoclonal antibodies (mAbs) as a platform for therapeutic drug development in the pharmaceutical industry has led to an increased interest in robust experimental approaches for assessment of mAb structure, stability and dynamics. The ability to enrich proteins with stable isotopes is a prerequisite for the in-depth application of many structural and biophysical methods, including nuclear magnetic resonance (NMR), small angle neutron scattering, neutron reflectometry, and quantitative mass spectrometry. While mAbs can typically be produced with very high yields using mammalian cell expression, stable isotope labeling using cell culture is expensive and often impractical. The most common and cost-efficient approach to label proteins is to express proteins in Escherichia coli grown in minimal media; however, such methods for mAbs have not been reported to date. Here we present, for the first time, the expression and purification of a stable isotope labeled mAb from a genetically engineered E. coli strain capable of forming disulfide bonds in its cytoplasm. It is shown using two-dimensional NMR spectral fingerprinting that the unlabeled mAb and the mAb singly or triply labeled with ¹³C, ¹⁵N, ²H are well folded, with only minor structural differences relative to the mammalian cell-produced mAb that are attributed to the lack of glycosylation in the Fc domain. This advancement of an E. coli-based mAb expression platform will facilitate the production of mAbs for in-depth structural characterization, including the high resolution investigation of mechanisms of action.     

A comparison of MS/MS‐based,stable‐isotope‐labeled,quantitation performance on ESI‐quadrupole TOF and MALDI‐TOF/TOF mass spectrometers

The peptide‐based quantitation accuracy and precision of LC‐ESI (QSTAR Elite) and LC‐MALDI (4800 MALDI TOF/TOF) were compared by analyzing identical Escherichia coli tryptic digests containing iTRAQ‐labeled peptides of defined abundances (1:1, 2.5:1, 5:1, and 10:1). Only 51.4% of QSTAR spectra were used for quantitation by ProteinPilot Software versus 66.7% of LC‐MALDI spectra. The average protein sequence coverages for LC‐ESI and LC‐MALDI were 24.0 and 18.2% (14.9 and 8.4 peptides per protein), respectively. The iTRAQ‐based expression ratios determined by ProteinPilot from the 57 467 ESI‐MS/MS and 26 085 MALDI‐MS/MS spectra were analyzed for measurement accuracy and reproducibility. When the relative abundances of peptides within a sample were increased from 1:1 to 10:1, the mean ratios calculated on both instruments differed by only 0.7–6.7% between platforms. In the 10:1 experiment, up to 64.7% of iTRAQ ratios from LC‐ESI MS/MS spectra failed S/N thresholds and were excluded from quantitation, while only 0.1% of the equivalent LC‐MALDI iTRAQ ratios were rejected. Re‐analysis of an archived LC‐MALDI sample set stored for 5 months generated 3715 MS/MS spectra for quantitation, compared with 3845 acquired originally, and the average ratios differed by only 3.1%. Overall, MS/MS‐based peptide quantitation performance of offline LC‐MALDI was comparable with on‐line LC‐ESI, which required threefold less time. However, offline LC‐MALDI allows the re‐analysis of archived HPLC‐separated samples.     

Growth of <Emphasis Type="Italic">E. coli</Emphasis> BL21 in minimal media with different gluconeogenic carbon sources and salt contents

Escherichia coli strain BL21 is commonly used as a host strain for protein expression and purification. For structural analysis, proteins are frequently isotopically labeled with deuterium (²H), ¹³C, or ¹⁵N by growing E. coli cultures in a medium containing the appropriate isotope. When large quantities of fully deuterated proteins are required, E. coli is often grown in minimal media with deuterated succinate or acetate as the carbon source because these are less expensive. Despite the widespread use of BL21, we found no data on the effect of different minimal media and carbon sources on BL21 growth. In this study, we assessed the growth behavior of E. coli BL21 in minimal media with different gluconeogenic carbon sources. Though BL21 grew reasonably well on glycerol and pyruvate, it had a prolonged lag-phase on succinate (20 h), acetate (10 h), and fumarate (20 h), attributed to the physiological adaptation of E. coli cells. Wild-type strain NCM3722 (K12) grew well on all the substrates. We also examined the growth of E. coli BL21 in minimal media that differed in their salt composition but not in their source of carbon. The commonly used M9 medium did not support the optimum growth of E. coli BL21 in minimal medium. The addition of ferrous sulphate to M9 medium (otherwise lacking it) increased the growth rate of E. coli cultures and significantly increased their cell density in the stationary phase. An erratum to this article can be found at     

15N-labeled P22 c2 repressor for nuclear magnetic resonance studies of protein-DNA interactions

The salmonella phage P22 c2 repressor was produced with 90% ¹⁵N isotope labeling of all leucines, using the expression system E. coli W3110 lac I ^Q/pTP 125. The N-terminal DNA-binding domain 1–76 was obtained by chymotrypsin cleavage. Its characterization by biochemical techniques, mass spectrometry, and one- and two-dimensional nuclear magnetic resonance (NMR) showed that highly residue-selective isotope labeling was achieved with the minimal growth medium used. The ability to obtain such isotope labeling opens new avenues for NMR studies of protein-DNA interactions in the P22 operator system.     

Rapid,accurate and sensitive determination of molecular weight of 15N and 13C labeled recombinant proteins by electrospray ionization mass spectrometry

Summary Electrospray ionization mass spectrometry (ES-MS) was utilized to accurately measure the molecular weight of uniformly ¹⁵N and ¹³C/¹⁵N isotope labeled stromelysin catalytic domain (20 kDa), which in turn, was used to determine the degree of isotope enrichment in the protein.     

Stable Isotope Metabolic Labeling with a Novel 15N-Enriched Bacteria Diet for Improved Proteomic Analyses of Mouse Models for Psychopathologies

The identification of differentially regulated proteins in animal models of psychiatric diseases is essential for a comprehensive analysis of associated psychopathological processes. Mass spectrometry is the most relevant method for analyzing differences in protein expression of tissue and body fluid proteomes. However, standardization of sample handling and sample-to-sample variability are problematic. Stable isotope metabolic labeling of a proteome represents the gold standard for quantitative mass spectrometry analysis. The simultaneous processing of a mixture of labeled and unlabeled samples allows a sensitive and accurate comparative analysis between the respective proteomes. Here, we describe a cost-effective feeding protocol based on a newly developed ¹⁵N bacteria diet based on Ralstonia eutropha protein, which was applied to a mouse model for trait anxiety. Tissue from ¹⁵N-labeled vs. ¹⁴N-unlabeled mice was examined by mass spectrometry and differences in the expression of glyoxalase-1 (GLO1) and histidine triad nucleotide binding protein 2 (Hint2) proteins were correlated with the animals'' psychopathological behaviors for methodological validation and proof of concept, respectively. Additionally, phenotyping unraveled an antidepressant-like effect of the incorporation of the stable isotope ¹⁵N into the proteome of highly anxious mice. This novel phenomenon is of considerable relevance to the metabolic labeling method and could provide an opportunity for the discovery of candidate proteins involved in depression-like behavior. The newly developed ¹⁵N bacteria diet provides researchers a novel tool to discover disease-relevant protein expression differences in mouse models using quantitative mass spectrometry.     

Hydroponic isotope labelling of entire plants (HILEP) for quantitative plant proteomics; an oxidative stress case study

Hydroponic isotope labelling of entire plants (HILEP) is a cost-effective method enabling metabolic labelling of whole and mature plants with a stable isotope such as (15)N. By utilising hydroponic media that contain (15)N inorganic salts as the sole nitrogen source, near to 100% (15)N-labelling of proteins can be achieved. In this study, it is shown that HILEP, in combination with mass spectrometry, is suitable for relative protein quantitation of seven week-old Arabidopsis plants submitted to oxidative stress. Protein extracts from pooled (14)N- and (15)N-hydroponically grown plants were fractionated by SDS-PAGE, digested and analysed by liquid chromatography electrospray ionisation tandem mass spectrometry (LC-ESI-MS/MS). Proteins were identified and the spectra of (14)N/(15)N peptide pairs were extracted using their m/z chromatographic retention time, isotopic distributions, and the m/z difference between the (14)N and (15)N peptides. Relative amounts were calculated as the ratio of the sum of the peak areas of the two distinct (14)N and (15)N peptide isotope envelopes. Using Mascot and the open source trans-proteomic pipeline (TPP), the data processing was automated for global proteome quantitation down to the isoform level by extracting isoform specific peptides. With this combination of metabolic labelling and mass spectrometry it was possible to show differential protein expression in the apoplast of plants submitted to oxidative stress. Moreover, it was possible to discriminate between differentially expressed isoforms belonging to the same protein family, such as isoforms of xylanases and pathogen-related glucanases (PR 2).     

Optimized procedure to generate heavy isotope and selenomethionine-labeled proteins for structure determination using <Emphasis Type="Italic">Escherichia coli</Emphasis>-based expression systems

Generating sufficient quantities of labeled proteins represents a bottleneck in protein structure determination. A simple protocol for producing heavy isotope as well as selenomethionine (Se-Met)-labeled proteins was developed using T7-based Escherichia coli expression systems. The protocol is applicable for generation of single-, double-, and triple-labeled proteins (¹⁵N, ¹³C, and ²H) in shaker flask cultures. Label incorporation into the target protein reached 99% and 97% for ¹⁵N and ¹³C, respectively, and 75% of (non-exchangeable) hydrogen for ²H labeling. The expression yields and final cell densities (OD600 ∼16) were the same as for the production of non-labeled protein. This protocol is also applicable for Se-Met labeling, leading to Se-Met incorporation into the target protein of 70% or 90% using prototrophic or methionine auxotrophic E. coli strains, respectively.     

Stable isotopic labeling‐based quantitative targeted glycomics (i‐QTaG)

Mass spectrometry (MS) analysis combined with stable isotopic labeling is a promising method for the relative quantification of aberrant glycosylation in diseases and disorders. We developed a stable isotopic labeling‐based quantitative targeted glycomics (i‐QTaG) technique for the comparative and quantitative analysis of total N‐glycans using matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS). We established the analytical procedure with the chemical derivatizations (i.e., sialic acid neutralization and stable isotopic labeling) of N‐glycans using a model glycoprotein (bovine fetuin). Moreover, the i‐QTaG using MALDI‐TOF MS was evaluated with various molar ratios (1:1, 1:2, 1:5) of ¹³C₆/¹²C₆‐2‐aminobenzoic acid‐labeled glycans from normal human serum. Finally, this method was applied to direct comparison of the total N‐glycan profiles between normal human sera (n = 8) and prostate cancer patient sera (n = 17). The intensities of the N‐glycan peaks from i‐QTaG method showed a good linearity (R² > 0.99) with the amount of the bovine fetuin glycoproteins. The ratios of relative intensity between the isotopically 2‐AA labeled N‐glycans were close to the theoretical molar ratios (1:1, 1:2, 1:5). We also demonstrated that the up‐regulation of the Lewis antigen (～82%) in sera from prostate cancer patients. In this proof‐of‐concept study, we demonstrated that the i‐QTaG method, which enables to achieve a reliable comparative quantitation of total N‐glycans via MALDI‐TOF MS analysis, has the potential to diagnose and monitor alterations in glycosylation associated with disease states or biotherapeutics. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:840–848, 2015     

Evaluation of isotope discrimination in C-based metabolic flux analysis

In a ¹³C experiment for metabolic flux analysis (¹³C MFA), we examined isotope discrimination by measuring the labeling of glucose, amino acids, and hexose monophosphates via mass spectrometry. When Escherichia coli grew in a mix of 20% fully labeled and 80% naturally labeled glucose medium, the cell metabolism favored light isotopes and the measured isotopic ratios (δ¹³C) were in the range of −35 to −92. Glucose transporters might play an important role in such isotopic fractionation. Flux analysis showed that both isotopic discrimination and isotopic impurities in labeled substrates could affect the solution of ¹³C MFA.     

Topograph,a Software Platform for Precursor Enrichment Corrected Global Protein Turnover Measurements

Defects in protein turnover have been implicated in a broad range of diseases, but current proteomics methods of measuring protein turnover are limited by the software tools available. Conventional methods require indirect approaches to differentiate newly synthesized protein when synthesized from partially labeled precursor pools. To address this, we have developed Topograph, a software platform which calculates the fraction of peptides that are from newly synthesized proteins and their turnover rates. A unique feature of Topograph is the ability to calculate amino acid precursor pool enrichment levels which allows for accurate calculations when the precursor pool is not fully labeled, and the approach used by Topograph is applicable regardless of the stable isotope label used. We validate the Topograph algorithms using data acquired from a mouse labeling experiment and demonstrate the influence that precursor pool corrections can have on protein turnover measurements.Methods of measuring protein synthesis and degradation using stable or radioactive isotope labels have existed for decades. The isotope label is introduced in the form of a labeled amino acid or amino acid precursor, and the incorporation or removal of that label from protein is used to estimate average protein turnover rates (1, 2). Historically, the amount of stable isotope label incorporated into a protein is measured by enriching for the protein (e.g. affinity chromatography, gel electrophoresis, and other biochemical methods), hydrolyzing the protein to amino acids, derivatizing the amino acids, and measuring the labeled amino acid by gas chromatography-mass spectrometry or gas chromatography-combustion-isotope ratio mass spectrometry (3, 4). More recently, proteomics methods have been developed that measure the labeled amino acid on the peptide level, eliminating the need for a protein enrichment step and enabling the monitoring of many proteins in a single experiment (5).Proteomics approaches to measuring protein turnover rates in mice have been accomplished by the introduction of a ¹⁵N stable isotope label. The labeled diets were created by supplementing a protein-free diet with a ¹⁵N enriched protein source. Price et al. (6) generated ¹⁵N-labeled protein from the alga, Spirulina platensis and Zhang et al. (7) introduced ¹⁵N-label in the form of lysate from the bacterium, Ralstonia eutropha. An advantage of using complete ¹⁵N labeling is the rapid incorporation of ¹⁵N and separation of isotope distributions between labeled and natural isotope abundance peptides, which reduces the need to deconvolute the two distributions. However, current methods require that the dietary protein content be derived from bacterial or alga lysate, a diet that is not normally fed to laboratory mice. As a result, measurements of protein turnover may not reflect conventional mouse model systems because of effects of diet on protein and amino acid metabolism. A more recent work by Claydon et al. (8) demonstrated a stable isotope labeling method by supplementing labeled valine into a standard mouse diet.The complex data generated from these analyses creates a data processing and analysis challenge; exemplified by recent software platforms that have been developed. Guan et al. (9) and Hoopmann et al. (10) demonstrated data analysis pipelines for ¹⁵N labeled SILAM and SILAC experiments. Here we describe the software platform, Topograph, we have developed for the analysis of liquid chromatography-tandem MS (LC-MS/MS) data from samples with isotopic labels. Topograph is able to deconvolute the complex spectra that may result from overlapping isotope distributions, regardless of the isotope label used. More uniquely, Topograph is able to calculate the relative isotope abundance (RIA)¹ of the amino acid precursor pool, which is necessary to correctly determine the amount of newly synthesized peptide and to subsequently calculate peptide and protein turnover rates.     

A method for efficient isotopic labeling of recombinant proteins

A rapid and efficient approach for preparing isotopically labeled recombinant proteins is presented. The method is demonstrated for ¹³C labeling of the C-terminal domain of angiopoietin-2, ¹⁵N labeling of ubiquitin and for ²H/¹³C/¹⁵N labeling of the Escherichia coli outer-membrane lipoprotein Lpp-56. The production method generates cell mass using unlabeled rich media followed by exchange into a small volume of labeled media at high cell density. Following a short period for growth recovery and unlabeled metabolite clearance, the cells are induced. The expression yields obtained provide a fourfold to eightfold reduction in isotope costs using simple shake flask growths.     

A MS data search method for improved 15N‐labeled protein identification

Quantitative proteomics using stable isotope labeling strategies combined with MS is an important tool for biomarker discovery. Methods involving stable isotope metabolic labeling result in optimal quantitative accuracy, since they allow the immediate combination of two or more samples. Unfortunately, stable isotope incorporation rates in metabolic labeling experiments using mammalian organisms usually do not reach 100%. As a consequence, protein identifications in ¹⁵N database searches have poor success rates. We report on a strategy that significantly improves the number of ¹⁵N‐labeled protein identifications and results in a more comprehensive and accurate relative peptide quantification workflow.     

Identification of a gluconic acid derivative attached to the N-terminus of histidine-tagged proteins expressed in bacteria.

Our previous studies have shown that the His tag cleaved from fusion proteins contained two distinct components P1 and P2. P1 has been identified to be a His-tagged peptide of G-H-H-H-H-H-H-H-H-H-H-S-S-G-H-I-E-G-R resulted from initiator methionine deletion, and P2 contains an unknown moiety at the second residue glycine of the tag (x-G-H-H-H-H-H-H-H-H-H-H-S-S-G-H-I-E-G-R, x = 178.0 Da). This study aimed to determine the structure of the modification by using a combination of protein isotope labeling and mass spectrometry. His-tagged FKBP was expressed in (15)N and (13)C labeling growth media respectively. Isotopic labeled His-tagged proteins ((15)N-His-FKBP and (13)C-His-FKBP) were isolated by affinity chromatography and subjected to Xa digestions to release the labeled His tag. Subsequent analyses of the released His tag by MALDI-TOF-MS indicated a mass difference of 178.0 +/- 0.2 Da, between the two (15)N-labeled peptides P1 and P2, suggesting that the modification moiety contained no nitrogen. A mass difference of 184.0 +/- 0.2 Da was observed on MALDI between (13)C-labeled peptide P1 and P2, indicating six carbons in the modification group. Also, comparing the mass shift on MALDI spectra of P1 and P2 after hydrogen/deuterium exchange revealed that the modification moiety had five hydroxyl groups. It was concluded that the modification was a gluconic acid derivative attached to the N-terminus of His-tagged proteins expressed in bacteria. The proposed structure was further confirmed by MALDI analysis of periodate oxidation products of His-tagged peptides.     

Backbone resonance assignments for the periplasmic chaperone LolA from Escherichia coli

LolA is an essential periplasmic protein in Gram-negative bacteria and plays a role in transporting lipoproteins through periplasmic space from the inner to the outer membrane. We established backbone resonance assignments of ²H/¹³C/¹⁵N labeled LolA from Escherichia coli.     

Synthesis of the 15N-Gln11 labeled peptaibol antibiotic zervamicin-IIB

Summary Synthesis of zervamicin IIB, specifically labeled at the α-position of glutamine-11 with¹⁵N, was achieved by the Fmoc/tert.-butyl strategy in solution using a fragment condensation approach. Three fragments of zervamicin IIB were obtained by stepwise elongation with Fmoc amino acids using BOP as a coupling reagent. For the introduction of the highly sterically hindered α-aminoisobutyric acid residues, BOP/DMAP activation was applied. Peptide fragments were coupled by means of the coupling reagent, CF₃-PyBOP. Using the strategy developed, zervamicin IIB specifically¹⁵N labeled has been synthesized in 30% overall yield based on the isotopically labeled amino acid. From 600 MHz NMR spectroscopy the position of the¹⁵N-label was clearly detected. The isotope enrichment (98 ±2%) was determined by FAB-mass spectrometry.