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Evaluation of peptide concentration on stability of signal over time. The peak areas (normalized to time 0) from 2 representative peptides were plotted vs autosampler storage time (h) to show that storing the peptides at higher concentration can minimize the loss of peptide signals, presumably attributed to adsorption of the peptides to vials. For details, see online Supplemental Materials and Methods, which accompanies the online version of this article at
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Background:
For many years, basic and clinical researchers have taken advantage of the analytical sensitivity and specificity afforded by mass spectrometry in the measurement of proteins. Clinical laboratories are now beginning to deploy these work flows as well. For assays that use proteolysis to generate peptides for protein quantification and c...
Context in source publication
Context 1
... or dimethyl- formamide can be used to efficiently solubilize peptides with a high percentage of hydrophobic residues ( Ͼ 50% Ala, Val, Leu, Ile, Met, Phe, Trp, Pro) and Ͻ 25% charged residues. Before reconstituting peptides, lyophilized powder should be brought to room temperature in a desiccator to avoid water absorption in the unused peptide, thus minimizing variations in concentration of lyophilized aliquots. If reconstituting a peptide for the first time, and whenever possible, a small amount of the peptide should be reconstituted before committing the entire lot by weighing out a small aliquot. As discussed above, the pH is an important parameter for peptide solubilization. Ini- tial reconstitution is best performed in water by adjusting the pH based on the primary amino acid sequence, with a small amount of organic solvent added to aid solubilization. Buffers such as PBS should not be used for reconstitution, because salts hinder solubility. If salt solutions are desired for the final formulation, they are best added once the peptides are fully solubilized. Peptides should initially be reconstituted at a concentration that is higher than the desired final working concentration (typically 10 –1000 times more concentrated; see Table 7 for specific recommendations). Solutions of completely solubilized peptides are completely clear and are devoid of any flecks or cloudiness. Solubili- zation can be confirmed by light scattering analysis or by comparing absorbance in a series of dilutions with and without centrifugation to pellet undissolved material. A general recommended starting point for a reconstitution solution is 5% acetonitrile with 0.1%–1% formic acid. The inclusion of organic solvent and acid in the reconstitution solution not only aids solubility, but also serves to retard microbial growth (biologically active buffers should contain 0.1% sodium azide to prevent microbial growth). If this reconstitution solution is not successful in completely solubilizing the peptide, the amount of organic solvent can be increased or the organic solvent can be altered (e.g., methanol instead of acetonitrile). If increasing organic solvent is not effective in solubilizing the peptide, the pH can be adjusted by addition of acid ( Յ 1% formic acid or trifluoroacetic acid) or by use of 1% ammonium bi- carbonate, 1% N , N -diisopropylethylamine, or ammonium hydroxide. Another option is to redry the peptide and redissolve it in DMSO. Variable recovery because of nonspecific adsorption is 1 of the major consequences of improper handling of peptides and can lead to imprecision and bias (i.e., loss of peptide to surfaces or contamination/carryover). The extent of nonspecific peptide adsorption to the walls of peptide storage vessels, pipette tips, autosampler vials, and HPLC components varies on the basis of the primary sequence, the materials used, and the concentration of the peptide solution. Complete characterization of peptide stability includes the evaluation of losses due to adsorption in all steps of the analytical method. This can be accomplished by several experimental designs, including measuring peptide amounts in serial dilutions by UV absorbance (e.g., to evaluate potential loss in tubes and/or pipette tips) or repeated injections by LC-MS (e.g. to evaluate potential loss or carryover in vials and the HPLC system). The use of carrier or chaperone molecules can minimize adsorption effects for particularly difficult peptides (56 ) ; however, choice of a suitable carrier is highly dependent on the peptide sequence, the analytical method, and the desired matrix for analysis. Thus, there is currently no consensus related to the best carrier molecules or the optimum concentration for use with peptide internal standard and calibrators. When evaluat- ing carrier molecules, caution should be taken to choose components that do not interfere with detection of the target peptide or excessively contribute to sample complexity or instrument contamination. The relative loss of peptides by nonspecific adsorption in low-concentration solutions is greater than in more concentrated solutions because of the limited bind- ing capacity of the wetted solid surface area (57 ) . To demonstrate the loss of peptides in solution and the effect of storage concentration, 2 peptide mixtures (200 and 1000 fmol/ L) were prepared in nondeactivated glass vials and analyzed by injecting 1 L of each sample each hour for 15 h. Of the 50 peptide targets in each mixture, 48 and 50 peptides were detected in the 200- and 1000- fmol/ L samples, respectively. Nine and 0 peptides, respectively, showed noticeable signal decay over time under the 2 conditions. This effect can be seen by plotting total peak areas of 2 representative peptide sequences, YLGYLEQLLR [Sequence Specific Retention Calculator (SSRC) relative hydrophobicity 41.55] and IYEGSI- LEVDCDILIPAASEK (SSRC relative hydrophobicity 43.98), both of which are quite hydrophobic (Figure 3). In contrast to the 200-fmol/ L sample, all peptides in the 1000-fmol/ L mixture showed constant signals over the time period analyzed, consistent with improved stability and reduced adsorption at higher concentration. Nonspecific adsorption contributes to carryover, which increases variability and bias due to residual signal in sample runs (58 ) . Carryover in sample preparation can originate from reusing pipette tips to transfer peptide solutions between vials or in dispensing aliquots. Carryover in sample preparation or analysis can negatively affect results through ion suppression of low-abundance peptides (when coelution occurs with high-abundance carryover from the previous run or sample) or by producing a false positive in sample analysis by the detection of contaminating analyte peptide. One can determine the extent of nonspecific adsorption by transferring a solution of the analyte sequentially from 1 vial to another and analyzing a small aliquot after each transfer step to assess for losses (59 ) . Despite the diverse physicochemical properties of peptides, various strategies can be generically applied to reduce adsorption and cross-contamination phe- nomena (56, 60 ) leading to carryover. When preparing dilution series, one should never reuse pipette tips, to avoid cross-contamination. Pipette tips should be pre- rinsed several times with the peptide solution before aspirating the final volume. To minimize nonspecific adsorption to the walls of storage vessels, standards of peptides should be added directly to the diluent fluid instead of the sides of the tubes or vials. Finally, peptide adsorption also contributes to carryover in chromatographic systems through incomplete removal of analyte from the analytical system from the previous injection (e.g., insufficient wash of the injection valve or syringe of the autosampler). Chromatographic carryover can be evaluated by injecting a blank sample after a sample or calibrator. Complete system wash runs (e.g., rinsing all HPLC components, including autosampler, delay volumes, and columns) can be used to reduce or eliminate carryover with a series of different elution buffers and solvents. It should be noted that some peptides, especially those containing hydrophobic residues, can be retained on HPLC columns despite the use of high concentrations of organic solvents when washing. Most HPLC column manufacturers have published methods for cleaning the HPLC flow-path and columns. Different types of vials can introduce significant variability in LC-MS analyses (61 ) . The interaction of peptides with various surfaces is greatly influenced by the specific side chains of the amino acids of the peptide. Glass and polypropylene are the materials most commonly used to manufacture vials, inserts, and plates. Although a single type of vial might not be optimal in terms of minimizing the nonspecific interaction of all the peptides in an analytical mixture, basic amino acids can form electrostatic interactions with the residual silanol groups on glass vials, and nonpolar amino acids can interact with the hydrophobic surface of polypropylene vials (62 ) . To minimize these adverse interactions, several manufacturers of chromatography consumables offer silanized glass vials in which the silanol groups have been chemically inactivated. Similarly, polypropylene vials with modified plastic surfaces are commercially available. To demonstrate the variability that can arise from various container materials, we investigated the signal from repeated injections of a digested protein sample stored in 3 types of autosampler sample vials: nondeactivated glass, deactivated glass, and polypropylene vials. Peptide stability was tested by performing 15 repeated LC-MS/MS analyses of the 50-fmol/ L sample each hour for 15 h. We manually assessed the signal intensities of the replicate runs for each peptide to determine the amount of signal enhancement or decay. The results are summarized in Figure 4. Peptides were categorized as stable, slow decay, or fast decay, with cutoffs of Ͻ 5%, 5%–50%, or Ͼ 50% peptide loss on the basis of signal intensity over the 15 h. We found that all 3 vial types enabled the recovery of 43 peptides, which accounted for 86% of the monitored peptides. Twenty-nine of the detected peptides were very stable across all analyses for all vials. In this study, the polypropylene vial outperformed the 2 glass vials, as only 1 “unstable” peptide with signif- icantly lower recovery was detected, whereas 13 and 14 unstable peptides were detected in nondeactivated and deactivated glass vials, respectively. To demonstrate the effects of freeze–thaw on peptide stability, we compared the signal intensity observed when injecting a peptide mixture stored at 4 °C, a sample undergoing a single freeze–thaw, and a sample undergoing multiple (n ϭ 10) freeze–thaw cycles. Twelve 1-pmol/ L sample aliquots prepared in solution (3% acetonitrile, 0.1% formic acid, ...
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Precise multiplexed quantification of proteins in biological samples can be achieved by targeted proteomics using multiple or parallel reaction monitoring (MRM/PRM). Combined with internal standards, the method achieves very good repeatability and reproducibility enabling excellent protein quantification and allowing longitudinal and cohort studies...
Citations
... [14][15][16] Following candidate identification, targeted protein quantification approaches such as Multiple Reaction Monitoring (MRM) with triple quadrupole mass spectrometers or Parallel Reaction Monitoring (PRM) with high-resolution mass spectrometers [17][18][19][20] are used to develop assays that monitor signature peptides; a unique amino acid sequence representing the candidate biomarker. [21,22] Signature peptides are selected by empirically determining their correlation to the candidate protein as well as characterizing their linear response, reproducibility, lower limit of detection (LLOD) and quantitation (LLOQ) in the matrix. [23,24] The resulting assays are quantified using stable isotopic labeled (SIL) standards to provide greater sensitivity and accuracy compared to discovery methods. ...
... constructing highly multiplexed quantitative targeted assays for biomarker validation. [22] An important component in biomarker discovery is a robust pipeline that includes discovery-based LC-MS capable of producing reliable data and data analysis solutions to identify reliable potential biomarkers. DIA-MS data can be paired with TEAQ to streamline biomarker candidate screening using stringent quantification criteria, minimizing the bottleneck of a lengthy assay development ( Figure 5). ...
Clinical biomarker development has been stymied by inaccurate protein quantification from mass spectrometry (MS) discovery data and a prolonged validation process. To mitigate these issues, we created the Targeted Extraction Assessment of Quantification (TEAQ) software package that uses data‐independent acquisition analysis from a discovery cohort to select precursors, peptides, and proteins that adhere to analytical criteria required for established targeted assays. TEAQ was applied to DIA‐MS data from plasma samples acquired on a new high resolution accurate mass (HRAM) mass spectrometry platform where precursors were evaluated for linearity, specificity, repeatability, reproducibility, and intra‐protein correlation based on 8‐ or 11‐point loading curves at three throughputs. This data can be used as a general resource for developing other targeted assays. TEAQ analysis of data from a case and control cohort for inflammatory bowel disease (n=492) identified 1110 signature peptides for 326 quantifiable proteins from the 1179 identified proteins. Applying TEAQ analysis to discovery data will streamline targeted assay development and the transition to validation and clinical studies.
... Specifically, the presence of high concentrations of proteins and lipids will readily foul HPLC columns, 23 and the non-volatile salts are detrimental reproducible ionization in mass spectrometry and accumulate on the mass spectrometer. 24 A variety of methods exist to isolate the analyte(s) of interest from these complex mixtures; 25,26 however they are often expensive and time consuming. Furthermore, these purification techniques typically need to be optimized for a single analyte, and studies utilizing a library of peptides with a range of physiochemical properties are challenging for these methods. ...
Peptides are widely used in biomaterials due to their easy of synthesis, ability to signal cells, and modify the properties of biomaterials. A key benefit of using peptides is that they are natural substrates for cell-secreted enzymes, which creates the possibility of utilizing cell-secreted enzymes for tuning cell-material interactions. However, these enzymes can also induce unwanted degradation of bioactive peptides in biomaterials, or in peptide therapies. Liquid chromatography-mass spectrometry (LC-MS) is a widely used, powerful methodology that can separate complex mixtures of molecules and quantify numerous analytes within a single run. There are several challenges in using LC-MS for the multiplexed quantification of cell-induced peptide degradation, including the need for non-degradable internal standards and the identification of optimal sample storage conditions. Another problem is that cell culture media and biological samples typically contain both proteins and lipids that can accumulate on chromatography columns and degrade their performance. However, removing these constituents can be expensive, time consuming, and increases sample variability. Here we show that directly injecting samples onto the LC-MS without any purification enables rapid and accurate quantification of peptide concentration, and that hundreds of LC-MS runs can be done on a single column without a significantly diminish the ability to quantify the degradation of peptide libraries. We also show that column failure is evident when hydrophilic peptides fail to be retained on the column, and this can be easily identified using standard peptide mixtures for column benchmarking. In total, this work introduces a simple and effective method for simultaneously quantifying the degradation of dozens of peptides in cell culture. By providing a streamlined and cost-effective method for the direct quantification of peptide degradation in complex biological samples, this work enables more efficient assessment of peptide stability and functionality, facilitating the development of advanced biomaterials and peptide-based therapies.
... Peptides were ranked based on the intensity and frequency of observations in the LC-MS/MS datasets [28][29][30][31][32][33][34][35][36][37][38][39][40] . Guidance for peptide selection was based on previously described criteria 41,42 . Peptides were required to be unique to the protein of interest, fully tryptic (i.e., no missed cleavages), internal KP and RP sites were allowed, and neighboring trypsin cleavage sites (ragged ends) were deprioritized (i.e., selected only when other peptides were not available). ...
Immunotherapies are revolutionizing cancer care, but many patients do not achieve durable responses and immune-related adverse events are difficult to predict. Quantifying the hundreds of proteins involved in cancer immunity has the potential to provide biomarkers to monitor and predict tumor response. We previously developed robust, multiplexed quantitative assays for immunomodulatory proteins using targeted mass spectrometry, providing measurements that can be performed reproducibly and harmonized across laboratories. Here, we expand upon those efforts in presenting data from a multiplexed immuno-oncology (IO)-3 assay panel targeting 43 peptides representing 39 immune- and inflammation-related proteins. A suite of novel monoclonal antibodies was generated as assay reagents, and the fully characterized antibodies are made available as a resource to the community. The publicly available dataset contains complete characterization of the assay performance, as well as the mass spectrometer parameters and reagent information necessary for implementation of the assay. Quantification of the proteins will provide benefit to correlative studies in clinical trials, identification of new biomarkers, and improve understanding of the immune response in cancer.
... After completing lyophilization the working standard vials were stored at -20°C. Working standard qualified against the reference standard w.r.t identify (HPLC, LCMS, NMR, AAA), purity (TFA, Acetate, residual solvents, RS by HPLC) and strength (assay by RP-HPLC and water content by KF coulometer) [12][13][14]. After standardization the working standard the final potency of the working standard was determined per vial (peptide in mg/vial). ...
Use of Lyophilized working standard to minimize standard preparation error for peptide analysis. The inherent heterogeneity of peptide ,complex sample preparation will contribute to day-to-day variability in peptide assay. All this peptide handling issues will control by use of Lyophilized working standard of peptide.
... After completing lyophilization the working standard vials were stored at -20°C. Working standard qualified against the reference standard w.r.t identify (HPLC, LCMS, NMR, AAA), purity (TFA, Acetate, residual solvents, RS by HPLC) and strength (assay by RP-HPLC and water content by KF coulometer) [12][13][14]. After standardization the working standard the final potency of the working standard was determined per vial (peptide in mg/vial). ...
Peptide therapeutics represent a promising class of drugs with diverse applications, but their analysis requires addressing the unique challenges associated with these biomolecules. Establishing appropriate quality control metrics and benchmarks, as well as ensuring reproducibility between day, analyst, instrument and different laboratories is essential for reliable peptide analysis. In this article we discussed the analytical challenges related to hygroscopicity, weighing of peptide working standard, stability, and standardization is crucial for obtaining accurate and reproducible results in the analysis of peptide therapeutics, which is essential for their development and quality control. The use of well-characterized, lyophilized peptide working standards can improve the accuracy and precision of peptide quantification.
... Refs. [85][86][87][88][89][90][91][92][93][94][95][96] ...
The understanding of the role of LXR in the regulation of macrophages during inflammation is emerging. Here, we show that LXR agonist T09 specifically increases 15-LOX abundance in primary human M2 macrophages. In time- and dose-dependent incubations with T09, an increase of 3-fold for ALOX15 and up to 15-fold for 15-LOX-derived oxylipins was observed. In addition, LXR activation has no or moderate effects on the abundance of macrophage marker proteins such as TLR2, TLR4, PPARγ, and IL-1RII, as well as surface markers (CD14, CD86, and CD163). Stimulation of M2-like macrophages with FXR and RXR agonists leads to moderate ALOX15 induction, probably due to side activity on LXR. Finally, desmosterol, 24(S),25-Ep cholesterol and 22(R)-OH cholesterol were identified as potent endogenous LXR ligands leading to an ALOX15 induction. LXR-mediated ALOX15 regulation is a new link between the two lipid mediator classes sterols, and oxylipins, possibly being an important tool in inflammatory regulation through anti-inflammatory oxylipins.
... When comparing the fast μ set-point in this study to the respective amino acid distribution described by Carnicer et al. [61] for 21% oxygen, most values are within good agreement (< 16% relative change, Additional file 1: Table S5). Cysteine and methionine, however, were not protected via oxidation prior to HCl hydrolysis in the previous study, resulting in their underestimation [62]. ...
... Consequently, the method employed in this study should reflect the actual amino acid composition of hydrolyzed K. phaffii whole cells more accurately than the previous measurements employing only HCL hydrolysis [32,61,64] and therefore represents a valuable contribution to the biomass characterization of K. phaffii in general. It has to be mentioned, however, that isoleucine, valine and leucine might be also underestimated in our study as hydrolysis is not 100% efficient for certain amino acid sequences [62,63]. ...
Background
Specific productivity (qP) in yeast correlates with growth, typically peaking at intermediate or maximum specific growth rates (μ). Understanding the factors limiting productivity at extremely low μ might reveal decoupling strategies, but knowledge of production dynamics and physiology in such conditions is scarce. Retentostats, a type of continuous cultivation, enable the well-controlled transition to near-zero µ through the combined retention of biomass and limited substrate supply. Recombinant Komagataella phaffii (syn Pichia pastoris) secreting a bivalent single domain antibody (VHH) was cultivated in aerobic, glucose-limited retentostats to investigate recombinant protein production dynamics and broaden our understanding of relevant physiological adaptations at near-zero growth conditions.
Results
By the end of the retentostat cultivation, doubling times of approx. two months were reached, corresponding to µ = 0.00047 h⁻¹. Despite these extremely slow growth rates, the proportion of viable cells remained high, and de novo synthesis and secretion of the VHH were observed. The average qP at the end of the retentostat was estimated at 0.019 mg g⁻¹ h⁻¹. Transcriptomics indicated that genes involved in protein biosynthesis were only moderately downregulated towards zero growth, while secretory pathway genes were mostly regulated in a manner seemingly detrimental to protein secretion. Adaptation to near-zero growth conditions of recombinant K. phaffii resulted in significant changes in the total protein, RNA, DNA and lipid content, and lipidomics revealed a complex adaptation pattern regarding the lipid class composition. The higher abundance of storage lipids as well as storage carbohydrates indicates that the cells are preparing for long-term survival.
Conclusions
In conclusion, retentostat cultivation proved to be a valuable tool to identify potential engineering targets to decouple growth and protein production and gain important insights into the physiological adaptation of K. phaffii to near-zero growth conditions.
... Quantitative MRM-MS assays are typically developed using one or more proteotypic peptides as surrogates for a protein target and are optimized and validated through a multi-step process. Best practice for the development of such assays has been discussed at length in the proteomic community, covering topics such as selection, use, and handling of labeled standards [30][31][32] , calibration strategy [33][34][35][36] , and experimental steps of the development and validation process 28,37,38 . In general, the steps for assay development and validation are both time consuming and costly. ...
Mouse is the mammalian model of choice to study human health and disease due to its size, ease of breeding and the natural occurrence of conditions mimicking human pathology. Here we design and validate multiple reaction monitoring mass spectrometry (MRM-MS) assays for quantitation of 2118 unique proteins in 20 murine tissues and organs. We provide open access to technical aspects of these assays to enable their implementation in other laboratories, and demonstrate their suitability for proteomic profiling in mice by measuring normal protein abundances in tissues from three mouse strains: C57BL/6NCrl, NOD/SCID, and BALB/cAnNCrl. Sex- and strain-specific differences in protein abundances are identified and described, and the measured values are freely accessible via our MouseQuaPro database: http://mousequapro.proteincentre.com. Together, this large library of quantitative MRM-MS assays established in mice and the measured baseline protein abundances represent an important resource for research involving mouse models.
... There were also Ac and nonacetylated unlabeled peptides synthetized (light) that matched the sequence with those endogenous native peptides occurring in the donors' samples, which were used during the method validation as internal standards for creating a reverse calibration curve. Both, heavy and light peptides (AQUA QuantPro standards, 5 pmol/µL in 50/50 ACN/water, custom synthetized by Thermo Fisher Scientific), were of > 97% purity and > 99% isotopic enrichment as recommended by Hoofnagle et al. [24]. Moreover, the nonacetylated K residues of both heavy and light peptides, i.e. ...
Background
Histones posttranslational modification represent an epigenetic mechanism that regulate gene expression and other cellular processes. Quantitative mass spectrometry used for the absolute quantification of such modifications provides further insight into cellular responses to extracellular insults such as infections or toxins. Methamphetamine (Meth), a drug of abuse, is affecting the overall function of the immune system. In this report, we developed, validated and applied a targeted, MS-based quantification assay to measure changes in histone H3 lysine 14 acetylation (H3K14Ac) during exposure of human primary macrophages to HIV-1 infection and/or Meth.
Methods
The quantification assay was developed and validated to determine H3K14Ac stoichiometry in histones that were isolated from the nuclei of control (CIC) and exposed to Meth before (CIM) or/and after (MIM) HIV-infection human monocyte-derived macrophages (hMDM) of six donors. It was based on LC–MS/MS measurement using multiple reaction monitoring (MRM) acquisition of the unmodified and acetylated form of lysine K14 of histone H3 ⁹ KSTGGKAPR ¹⁷ peptides and the corresponding stable isotope labeled (SIL) heavy peptide standards of the same sequences. The histone samples were propionylated (Poy) pre- and post- trypsin digestion so that the sequences of the monitored peptides were: K[Poy]STGGK[1Ac]APR, K[Poy]STGGK[1Ac]APR-heavy, K[Poy]STGGK[Poy]APR and K[Poy]STGGK[Poy]APR-heavy. The absolute amounts of the acetylated and unmodified peptides were determined by comparing to the abundances of their SIL standards, that were added to the samples in the known concentrations, and, then used for calculation of H3K14Ac stoichiometry in CIC, CIM and MIM hMDM.
Results
The assay was characterized by LLOD of 0.106 fmol/µL and 0.204 fmol/µL for unmodified and acetylated H3 ⁹ KSTGGKAPR ¹⁷ peptides, respectively. The LLOQ was 0.5 fmol/µL and the linear range of the assay was from 0.5 to 2500 fmol/µL. The absolute abundances of the quantified peptides varied between the donors and conditions, and so did the H3K14Ac stoichiometry. This was rather attributed to the samples nature itself, as the variability of their triplicate measurements was low.
Conclusions
The developed LC–MS/MS assay enabled absolute quantification of H3K14Ac in exposed to Meth HIV-infected hMDM. It can be further applied determination of this PTM stoichiometry in other studies on human primary macrophages.
Graphical Abstract
... Selection of the signature peptide(s) is an essential part of the development of any LC-MS/MS method for a protein analyte. There are a number of analytical and conceptual considerations that play a role for the selection of a proper signature peptide [2,18,19]. First of all, it is crucial that the peptide of choice is unique, that is, that its amino acid sequence does not occur in any non-analyte protein in the matrix of interest, to avoid contributions to the detection response from other, endogenous compounds. Next, to ensure adequate sensitivity and method robustness, signature peptides ideally are of a suitable length (7-20 amino acids) and moderate hydrophobicity, show stable chromatography, and are easily ionized and fragmented. ...
... Next, to ensure adequate sensitivity and method robustness, signature peptides ideally are of a suitable length (7-20 amino acids) and moderate hydrophobicity, show stable chromatography, and are easily ionized and fragmented. In addition, peptides with potentially unstable amino acids (methionine, asparagine, glutamine) that might lead to degradation during analysis, and amino acid sequences that could lead to missed cleavages, such as multiple successive lysine or arginine moieties and post-transitional modifications, which will reduce proteolytic activity (e.g., acetylation or methylation of lysine, phosphorylation or O-glycosylation) [10], are best avoided, or at least require careful experimental optimization [18]. Publicly accessible in silico digestion software tools and databases such as mMass [20] and Basic Local Alignment Search Tool (BLAST) [21] can be used to predict the peptides formed after digestion with a particular enzyme as well as their uniqueness in the species of interest. ...
The use of multiple signature peptides for the quantification of proteins by digestion and LC–MS/MS is reviewed and evaluated here. A distinction is made based on the purpose of the use of multiple peptides: confirmation of the protein concentration, discrimination between different protein forms or species and in vivo biotransformation. Most reports that describe methods with at least two peptides use these for confirmation, but it is not always mentioned how the peptides are used and how possible differences in concentration between the peptides are handled. Differences in concentration are often reported in the case of monitoring different protein forms or in vivo biotransformation, and this offers insight into the biological fate of the protein.