Sequencing of the thirteen structurally isomeric quartets of N‐terminal dipeptide motifs in peptides by collision‐induced dissociation

N‐terminal sequencing of protonated peptides is challenging, since each b₂ ion represents two sequence isomers, e.g., NE and EN. Additionally the occurrence of compositional isomers, such as NE and QD, further increases the number of isomers to four (NE, EN, QD, DQ). This leads to a subset of 13 b₂ ion masses where each value represents four individual species. The b₂ ions within such a quartet are characterized by the same elemental composition. To test the utility of CID for differentiation of isomeric b₂ ions, the CID spectra of 52 small synthetic peptides were recorded, representing the 13 isomeric b₂ ion quartets, which may be formed from unmodified amino acid residues. The CID spectra of protonated peptides containing these quartets were carefully inspected for N‐terminal sequence information. Below the m/z value of the b₂ ion, individual differences were found in the b₂ fragment ion signatures (neutral loss of CO, H₂O, NH₃, and other less common units). Recognition of N and Q in second position from the N‐terminus is based on c₁ ion formation. Relative intensities of immonium ions were also used for differentiation between sequence isomers. In the complementary high‐mass regions above the m/z value of the y_max‐2 ion, individual differences were observed in the formation of y_max‐1, x_max‐1 and z_max‐1 ions, which could be correlated to the complementary low‐mass ions. In summary, de novo sequencing of the N‐terminal dipeptide motif is feasible by considering all available sequence information present in CID spectra of protonated peptides.     

Positive and negative tandem mass spectrometric fingerprints of lipids from the halophilic Archaea Haloarcula marismortui

Lipids from the extremely halophilic Archaea, Haloarcula marismortui, contain abundant phytanyl diether phospholipids, namely archaetidic acid (AA), archaetidylglycerol (AG), archaetidylglycerosulfate (AGS), with mainly archaetidylglycerophosphate methyl ester (AGP-Me). These were accompanied by a triglycosyl archaeol (TGA), lacking characteristic sulfate groups. Tandem-mass spectrometry was employed to provide fingerprints for identifying these known lipids, as well as small amounts of unsaturated phospholipids. These contained 3 and 6 double bonds in their archaeol moiety, suggested by negative tandem-MS of intact phospholipids, as indicated by differences between their pseudo-molecular ion and specific fragment ions designated as π₂. The core ether lipids were confirmed by electrospray ionization mass spectrometry (ESI-MS) as 2,3-di-O-phytanyl-sn-glycerol (C20, C20), which gave rise to a precursor-ion at m/z 660 [M+Li]⁺, and its fragment ion at m/z 379 [M+Li]⁺, consistent with mono-O-phytanyl-glycerol. Furthermore, lithiated ions at m/z 654 (MS¹), 379 (MS²) and m/z 648 (MS¹), 373 (MS²), combined with ¹H/¹³C NMR chemical shifts at δ 5.31-121.6 (C2/2′-H2/2′), 5.08-124.9 (C6/6′-H6/6′) and 5.10-126.0 (10/10′-H10/10′) confirmed the presence of unsaturated homologs of archaeol. We carried out a comprehensive study on the lipids present in cells of H. marismortui. We used positive and negative ESI-MS with tandem-MS, which served as a fingerprint analysis for identifying the majority of component lipids.     

Analytical Utility of Mass Spectral Binning in Proteomic Experiments by SPectral Immonium Ion Detection (SPIID)

Unambiguous identification of tandem mass spectra is a cornerstone in mass-spectrometry-based proteomics. As the study of post-translational modifications (PTMs) by means of shotgun proteomics progresses in depth and coverage, the ability to correctly identify PTM-bearing peptides is essential, increasing the demand for advanced data interpretation. Several PTMs are known to generate unique fragment ions during tandem mass spectrometry, the so-called diagnostic ions, which unequivocally identify a given mass spectrum as related to a specific PTM. Although such ions offer tremendous analytical advantages, algorithms to decipher MS/MS spectra for the presence of diagnostic ions in an unbiased manner are currently lacking. Here, we present a systematic spectral-pattern-based approach for the discovery of diagnostic ions and new fragmentation mechanisms in shotgun proteomics datasets. The developed software tool is designed to analyze large sets of high-resolution peptide fragmentation spectra independent of the fragmentation method, instrument type, or protease employed. To benchmark the software tool, we analyzed large higher-energy collisional activation dissociation datasets of samples containing phosphorylation, ubiquitylation, SUMOylation, formylation, and lysine acetylation. Using the developed software tool, we were able to identify known diagnostic ions by comparing histograms of modified and unmodified peptide spectra. Because the investigated tandem mass spectra data were acquired with high mass accuracy, unambiguous interpretation and determination of the chemical composition for the majority of detected fragment ions was feasible. Collectively we present a freely available software tool that allows for comprehensive and automatic analysis of analogous product ions in tandem mass spectra and systematic mapping of fragmentation mechanisms related to common amino acids.In mass spectrometry (MS)-based proteomics, protein mixtures are digested into peptides using standard proteases such as trypsin or Lys-C (1). The complex peptide mixture is separated via liquid chromatography (LC) directly coupled to MS, and the eluting peptide ions are electrosprayed into the vacuum of the mass spectrometer, where a peptide mass spectrum is recorded (2). In the mass spectrometer, selected peptide ions are fragmented, most commonly through the collision of peptide molecular ions with inert gas molecules in a technique referred to as either collision-induced dissociation (CID)¹ or collisionally activated dissociation (3, 4). During this energetic collision, some of the deposited kinetic energy is converted into internal energy, which results in peptide bond breakage and fragmentation of the molecular peptide ion into sequence-specific ions (5). Identification of the analyzed peptide is then performed by scanning the measured peptide mass and list of fragment masses against a protein sequence database (6). Overall this approach provides a rapid and sensitive means of determining the primary sequence of peptides.During the fragmentation step, various types of fragment ions can be observed in the MS/MS spectrum. Their occurrence depends on the primary sequence of the investigated peptide, the amount of internal energy deposited, how the energy was introduced, the charge state, and other factors (7). Low-energy dissociation conditions as observed in ion trap CID mainly generate fragment ions containing sequence-specific amino acid information about the investigated peptides (8). This occurs because the energy deposited during this fragmentation method primarily facilitates the fragmentation of precursor ions yielding single peptide bond fragmentation between individual amino acids (9).With faster activation methods, such as beam-type/quadrupole CID (10), generated fragments can undergo further collisions. Multiple bonds can thereby be fragmented, giving rise to internal sequence ions, which in combination with regular b- and y-type cleavage produce specific amino-immonium ions (11). These immonium ions appear in the very low m/z range of the MS/MS spectrum, and for the majority of naturally occurring amino acids such immonium ions are unique for that particular residue (12, 13). Exceptions for this are the leucine/isoleucine and lysine/glutamine pairs, which produce immonium ions with the same chemical mass. Overall, immonium ions can confirm the presence of certain amino acid residues in a peptide, whereas information regarding the position or the stoichiometry of these amino acid residues cannot be ascertained. Because tryptic peptides on average contain 9 to 12 amino acids, they frequently contain many different residues; as a result, the analytical information hidden in the regular amino acid immonium ions might be limited. However, immonium ions can be used to support peptide sequence assignment during proteomic database searching (14).Contrary to the 20 naturally occurring residues, many amino acids can be modified by various post-translational modifications (PTMs), and these PTM-bearing residues can themselves generate unique immonium ions—the so-called diagnostic ions. The two most prominent examples are phosphorylation of tyrosine and acetylation of lysine residues (15), which generate diagnostic ions at m/z = 216.0424 and m/z = 126.0917, respectively. Thus, the presence of these unique ions in a MS/MS spectrum can unequivocally identify the sequenced peptide as harboring a given PTM. Evidently, knowledge regarding modification-specific diagnostic ions is of great importance for the identification and validation of modified peptides in MS-based proteomics (16, 17). Additionally, such PTM-specific information can be informative in targeted proteomics approaches facilitating MS/MS precursor ion scanning (18) and become valuable in post-acquisition analysis involving extracted ion chromatograms for specific m/z values. Moreover, information regarding diagnostic ions can be a powerful addition to analytical approaches such as selected reaction monitoring, a targeted technique that relies on ion-filtering capabilities to comprehensively study peptides and PTMs (19).Currently only a minor subset of modified amino acids has been investigated for diagnostic ions, primarily because of the lack of unbiased methods for mapping such ions in large-scale proteomics experiments. The identification of diagnostic ions is a labor-intensive endeavor, requiring manual interpretation of large numbers of MS/MS spectra for proper validation of low-mass fragmentation ions. As a result, most studies on diagnostic ions have been performed on a few selected synthetic peptides, as the interrogation of larger biological datasets has not been feasible (15, 20).Here we describe a proteomic approach utilizing a novel algorithm based upon binning of tandem mass spectra for fast and automated mapping of analogously occurring product ions. The developed algorithm is completely independent of instrument type and fragmentation technique employed, but it performs more favorably under experimental conditions that augment the generation of immonium ions. As a result, the performance of the algorithm is benchmarked on data derived from LTQ Orbitrap Velos and Q Exactive mass spectrometers, which exhibit improved HCD performance (21–23). HCD has proven to be a powerful fragmentation technique, particularly for PTM analysis (24, 25), as no low mass detection cutoff is observed as compared with fragmentation experiments on ion trap mass spectrometers (26). Moreover, the beam-type energy deposited during HCD fragmentation allows for improved generation of both immonium and other sequence-related ions relative to CID (27, 28). Additionally, HCD experiments are performed at very high resolution, yielding high mass accuracy (<10 ppm) on all detected fragment ions, which allows the algorithm to utilize very narrow mass binning and hence easily determine the exact chemical composition of any novel detected ions.Briefly, the algorithm takes all significantly identified MS/MS spectra and bins them together in discrete mass bins. As commonly occurring ions, such as immonium and diagnostic ions, will have same chemical composition and consequently the same m/z, they will cluster in the same mass bins, whereas sequence-specific fragment ions will scatter across the binned mass range. For validation of the presented approach, we mapped known and novel diagnostic ions from a variety of PTM-bearing amino acids, demonstrating the sensitivity and specificity of the method. Moreover, we demonstrate that mass spectral binning additionally can be employed for automated mapping of composition-specific neutral losses from large-scale proteomic experiments.     

Analysis of sesterterpenoids from Aspergillus terreus using ESI‐QTOF and ESI‐IT

Introduction – Biosynthesis of terretonin was studied due to the interesting skeleton of this series of sesterterpenoids. Very recently, López‐Gresa reported two new sesterterpenoids (terretonins E and F) which are inhibitors of the mammalian mitochondrial respiratory chain. Mass spectrometry (MS), especially tandem mass spectrometry, has been one of the most important physicochemical methods for the identification of trace natural products due to it rapidity, sensitivity and low levels of sample consumption. The potential application prospect and unique skeleton prompted us to study structural characterisation using MS. Objective – To obtain sufficient information for rapid structural elucidation of this class of compounds using MS. Methodology – The elemental composition of the product ions was confirmed by low‐energy ESI‐CID‐QTOF‐MS/MS analyses. The fragmentation pathways were postulated on the basis of ESI‐QTOF‐MS/MS/MS and ESI‐IT‐MSⁿ spectra. Common features and major differences between ESI‐QTOF‐MS/MS and IT‐MSⁿ spectra were compared. For ESI‐QTOF‐MS/MS/MS experiments, capillary exit voltage was raised to induce in‐source dissociation. Ammonium acetate or acetic acid were added into solutions to improve the intensity of [M + H]⁺. The collision energy was optimised to achieve sufficient fragmentation. Some fragmentation pathways were unambiguously proposed by the variety of abundance of fragment ions at different collision energies even without MSⁿ spectra. Results – Fragmentation pathways of five representative sesterterpenoids were elucidated using ESI‐QTOF‐MS/MS/MS and ESI‐IT‐MSⁿ in both positive‐ and negative‐ion mode. The key group of characterising fragmentation profiles was ring B, and these fragmentation patterns are helpful to identify different types of sestertepenoids. Conclusion – Complementary information obtained from fragmentation experiments of [M + H]⁺ (or [M + NH₄]⁺) and [M ? H]^? precursor ions is especially valuable for rapid identification of this kind of sesterterpenoid.     

Multidimensional profiling of components in complex mixtures of natural products for metabolic analysis,proof of concept: Application to Quillaja saponins

A method for separation and detection of major and minor components in complex mixtures has been developed, utilising two-dimensional high-performance liquid chromatography (2D-HPLC) combined with electrospray ionisation ion-trap multiple-stage mass spectrometry (ESI-ITMSⁿ). Chromatographic conditions were matched with mass spectrometric detection to maximise the number of components that could be separated. The described procedure has proven useful to discern several hundreds of saponin components when applied to Quillaja saponaria Molina bark extracts. The discrimination of each saponin component relies on the fact that three coordinates (x, y, z) for each component can be derived from the retention time of the two chromatographic steps (x, y) and the m/z-values from the multiple-stage mass spectrometry (z_n, n = 1, 2, …). Thus an improved graphical representation was obtained by combining retention times from the two-stage separation with +MS¹ (z₁) and the additional structural information from the second mass stage +MS² (z₂, z₃) corresponding to the main fragment ions. By this approach three-dimensional plots can be made that reveal both the chromatographic and structural properties of a specific mixture which can be useful in fingerprinting of complex mixtures.     

Global combined precursor isotopic labeling and isobaric tagging (cPILOT) approach with selective MS3 acquisition

Recently, we reported a novel proteomics quantitation scheme termed “combined precursor isotopic labeling and isobaric tagging (cPILOT)” that allows for the identification and quantitation of nitrated peptides in as many as 12–16 samples in a single experiment. cPILOT offers enhanced multiplexing and posttranslational modification specificity, however excludes global quantitation for all peptides present in a mixture and underestimates reporter ion ratios similar to other isobaric tagging methods due to precursor co‐isolation. Here, we present a novel chemical workflow for cPILOT that can be used for global tagging of all peptides in a mixture. Specifically, through low pH precursor dimethylation of tryptic or LysC peptides followed by high pH tandem mass tags, the same reporter ion can be used twice in a single experiment. Also, to improve triple‐stage mass spectrometry (MS³) data acquisition, a selective MS³ method that focuses on product selection of the y₁ fragment of lysine‐terminated peptides is incorporated into the workflow. This novel cPILOT workflow has potential for global peptide quantitation that could lead to enhanced sample multiplexing and increase the number of quantifiable spectra obtained from MS³ acquisition methods.     

Electrospray mass spectrometry of cis-[Ru(NO)Cl(bpy)2] (bpy=2,2-bipyridine): fragmentation from desolvated {[Ru(NO)Cl(bpy)2], Cl} ion pairs by electron transfer and internal Lewis base pathways

The electrospray mass spectrum (ESI-MS) of cis-[Ru(NO)Cl(bpy)₂]Cl₂ (bpy=2,2^′-bipyridine), obtained from 50% CH₃OH/50% H₂O as the mobile solvent, exhibited ruthenium-containing ions derived from a {[Ru^II(NO⁺)Cl(bpy)₂]²⁺, Cl⁻}⁺ ion pair (m/z=514) and [Ru^II(NO⁺)Cl(bpy)₂]²⁺ (m/z=239.5). [Ru^IIICl(bpy)₂]²⁺, from the loss of NO from the 239.5 ion, is detected at m/z=224.5. Only the m/z 514 ion pair is detected when 100% CH₃OH mobile solvent is used, but the presence of even small amounts of water prompted the additional detection of the m/z 239.5 and m/z 224.5 ions under tandem MS-MS conditions. Ruthenium-chloro-containing ions appear as a characteristic collection of eight main, and four lesser, intense ions created from combinations ¹⁰⁴Ru, ¹⁰²Ru, ¹⁰¹Ru, ⁹⁹Ru, ⁹⁸Ru, ⁹⁶Ru, ³⁵Cl and ³⁷Cl isotopes with minor contributions from ¹³C, etc. For convenience of discussion, only the most abundant m/z species are mentioned herein as representative of all the isotopically distributed ions.Four fragmentation channels are detectable from the m/z=514 chloride ion pair: (1) the loss of HCl (main channel; ca. 50% of fragmentation events), (2) the loss of NO (ca. 12% ), (3) the loss of bpy (minor pathway), and (4) the loss of Cl atom (ca. 38% ).Loss of NO from ion m/z 514 yields ion m/z 484, which is the precursor of ions m/z 448 (by loss of HCl), m/z 328 (by loss of bpy) and m/z 292 (by loss of HCl and bpy). Loss of HCl from ion m/z 514 generates ion m/z 478, [Ru^II(NO⁺)Cl(bpyH)(bpy-H)]⁺, deprotonated at the ortho C-H of one bpy ligand. In MS-MS experiments, the m/z 478 ion was established to undergo loss of NO, producing ion m/z 448, rejoining further fragmentation process for ion m/z 448 at this point. Loss of neutral bipyridine from m/z 514 in low yield produces ion m/z 358, which undergoes further loss of NO to form [RuCl₂(bpy)]⁺ ion (m/z=328). MS-MS “neutral loss of 30” spectra confirmed the NO loss events as part of the fragmentation sequence for all four pathways.A fourth species of m/z=479 from the “514” ion is obtained by an internal electron transfer from Cl⁻ of the ion pair, and loss of the resultant neutral Cl atom. The product [Ru^II(NO^·)Cl(bpy)₂]⁺ “479” fragment undergoes facile loss of NO to generate [Ru^IICl(bpy)₂]⁺ (m/z=449). Ion m/z 449 gives rise to ions m/z 413 (loss of HCl) and m/z 257(loss of HCl and bpy). MS-MS experiments confirm the neutral loss of Cl from the m/z 514 ion, and the formation of the m/z 449 ion via m/z 479 and m/z 514 parents. This pathway was not observed in a prior study for the related complex, [Ru(NO)Cl(dpaH)(dpa⁻)]⁺ (dpaH=2,2^′-dipyridylamine), which does not have an external Cl⁻ in an ion pair.     

Comparative Analyses of Data Independent Acquisition Mass Spectrometric Approaches: DIA,WiSIM‐DIA,and Untargeted DIA

Data‐independent acquisition (DIA) is an emerging technology for quantitative proteomics. Current DIA focusses on the identification and quantitation of fragment ions that are generated from multiple peptides contained in the same selection window of several to tens of m/z. An alternative approach is WiSIM‐DIA, which combines conventional DIA with wide‐SIM (wide selected‐ion monitoring) windows to partition the precursor m/z space to produce high‐quality precursor ion chromatograms. However, WiSIM‐DIA has been underexplored; it remains unclear if it is a viable alternative to DIA. We demonstrate that WiSIM‐DIA quantified more than 24 000 unique peptides over five orders of magnitude in a single 2 h analysis of a neuronal synapse‐enriched fraction, compared to 31 000 in DIA. There is a strong correlation between abundance values of peptides quantified in both the DIA and WiSIM‐DIA datasets. Interestingly, the S/N ratio of these peptides is not correlated. We further show that peptide identification directly from DIA spectra identified >2000 proteins, which included unique peptides not found in spectral libraries generated by DDA.     

A Study on Immonium Ions and Immonium-Related Ions Depending on Different Collision Energies as Assessed by Q-TOF MS

Immonium ions and immonium-related ions commonly appear in the mass spectra of peptide precursor ions. An overall understanding of the variation of the abundance of these ions is beneficial for the identification of unknown peptides. Here, four peptides from mass spectrometry (MS) of sucrose phosphorylase were selected as precursor ions, and the frequency of immonium ions and immonium-related ions in a dataset containing 130 MS/MS spectra were examined. Immonium ions and immonium-related ions were mainly produced from the further fragmentation of a-, b-, and y-ions. At the optimal collision energy (CE), the immonium ions of leucine at m/z 86, isoleucine at m/z 86, glutamine at m/z 101, arginine at m/z 129, tryptophan at m/z 159, proline at m/z 70, valine at m/z 72, glutamic acid at m/z 102, phenylalanine at m/z 120, and tyrosine at m/z 136, as well as the immonium-related ions of methionine at m/z 61, lysine at m/z 84, glutamine at m/z 84, and tyrosine at m/z 91 existed in higher abundance and had higher confidence level, therefore suggesting the presence of corresponding amino acid residues well. However, the immonium ions of serine at m/z 60 and threonine at m/z 74, although showing lower abundance, were stable at high CE and had higher confidence level, indicating the presence of serine and threonine residues, respectively. The immonium ion of asparagine at m/z 87 also was a good indicator for the existence of asparagine residue.     

Accelerated solvent extraction and liquid chromatography–tandem mass spectrometry quantitation of corticosteroid residues in bovine liver

A new method for the rapid extraction and unequivocal confirmation of two highly potent fluorinated synthetic corticosteroids, dexamethasone and its β-epimer betamethasone, in bovine liver was developed. Flumethasone was used as internal standard. An extraction procedure using an accelerated solvent extraction system was employed for the isolation of the analytes in liver samples. The procedure was highly automated, including defatting and extraction steps, sequentially carried out under 1.0·10⁴ kPa in about 35 min. The extracts were then directly analysed by tandem mass spectrometry with on-line liquid chromatography. The analytes were ionised in a heated nebulizer interface operating in the negative ion mode where the molecular related ions [M-H-CH₂O]⁻ were generated for each analyte, at m/z 361 for betamethasone and dexamethasone and at m/z 379 for flumethasone. They served as precursor ions for collision-induced dissociation and three diagnostic product ions for the drugs were identified to carry out analyte confirmation by selected reaction monitoring. Assessment of recovery, specificity and precision for betamethasone, dexamethasone and flumethasone proved the method suitable for confirmatory purposes. The limit of quantification of betamethasone and dexamethasone in liver tissue was 1.0 μg/kg.     

Differentiation of isomeric Lewis blood groups by positive ion electrospray tandem mass spectrometry

Lewis histo-blood group antigens are one of the major classes of biologically active oligosaccharides. In this work, underivatized Lewis blood groups were studied by electrospray tandem mass spectrometry (ESI-MSⁿ) in the positive mode with three different mass analyzers: Q-TOF (quadrupole time-of-flight), QqQ (triple quadrupole), and LIT (linear ion trap). It was observed that, under collision-induced fragmentations, type 1 Lewis antigens (Le^a and Le^b) could be distinguished from type 2 (Le^x and Le^y) on the basis of specific fragmentations of the GlcNAc unit. Whereas O-4-linked sugars of the GlcNAc are lost as residues, the O-3-linked sugars undergo fragmentation both as sugar units and as sugar residues (unit −18 Da). Type 2 Lewis antigens also showed a characteristic cross-ring cleavage ^0,2A₂ of the GlcNAc. As a result, the product ions at m/z 388 and 305, characteristic of Le^x, and m/z 372, characteristic of Le^a, are proposed to distinguish the trisaccharide isomers Le^x/Le^a. Also, the product ions at m/z 534 and 305, characteristic of Le^y, and m/z 372, characteristic of Le^b, are proposed to distinguish the tetrasaccharide isomers Le^b/Le^y. These diagnostic fragment ions were further applied in the identification of Lewis type 2 antigens (Le^x and Le^y) in the lipopolysaccharide of the human gastric pathogen, Helicobacter pylori.     

Identification of a radical formed in the reaction mixture of rat brain homogenate with a ferrous ion/ascorbic acid system using HPLC–EPR and HPLC–EPR–MS

Identification of a free radical is performed for the reaction mixture of rat brain homogenate with a ferrous ion/ascorbic acid system using EPR, high performance liquid chromatography–electron paramagnetic resonance spectrometry (HPLC–EPR) and high performance liquid chromatography–electron paramagnetic resonance–mass spectrometry (HPLC–EPR–MS). EPR measurements of the reaction mixtures showed prominent signals with hyperfine coupling constants (α^N = 1.58 mT and α^Hβ = 0.26 mT). No EPR spectrum was detectable without rat brain homogenate, suggesting that the radical is derived from rat brain homogenate. An HPLC–EPR analysis of the reaction mixture showed a peak with retention time of 33.7 min. An HPLC–EPR–MS analysis of the peak gave two ions at m/z 224 and 137, suggesting that α-(4-pyridyl-1-oxide)-N-tert-butylnitrone (4-POBN)/ethyl radical adduct forms in the reaction mixture.     

Atmospheric pressure photoionization mass spectrometry of per-O-methylated oligosaccharides related to D-xylans

Three d-xylan type per-O-methylated trisaccharides with various types of linkages between the d-xylopyranose units were examined by atmospheric pressure photoionization (APPI) mass spectrometry in the positive ion mode. The most interesting feature of a thermospray mass spectrum using the APPI source with UV lamp switched off, is the exclusive production of [M+Na]⁺ adduct ions. [M+Na]⁺ cationized ions are the most abundant species in the case of APPI mass spectrometry. The second ionization process has no analogy in the case of substances studied using APPI to date. This aspect involves the addition of a water molecule to the molecular ion of a per-O-methylated saccharide, giving rise to [M+H₂O]⁺ adduct ions. The [M+H₂O]⁺ species are readily detected at m/z 544, and are clearly visible for all three isomers studied. The MS/MS spectrum of [M+Na]⁺ ions contains a base peak at m/z 375, produced by a Y-type cleavage of the trisaccharide, along with a hydrogen rearrangement on the terminal interglycosidically linkage glycosidic oxygen atom. The [M+H₂O]⁺ species fragment largely give rise to ions at m/z 175, 143 and, as a result, the m/z 111 ion is unique to nonreducing terminal units.     

Neutron-encoded Signatures Enable Product Ion Annotation From Tandem Mass Spectra

We report the use of neutron-encoded (NeuCode) stable isotope labeling of amino acids in cell culture for the purpose of C-terminal product ion annotation. Two NeuCode labeling isotopologues of lysine, ¹³C₆¹⁵N₂ and ²H₈, which differ by 36 mDa, were metabolically embedded in a sample proteome, and the resultant labeled proteins were combined, digested, and analyzed via liquid chromatography and mass spectrometry. With MS/MS scan resolving powers of ∼50,000 or higher, product ions containing the C terminus (i.e. lysine) appear as a doublet spaced by exactly 36 mDa, whereas N-terminal fragments exist as a single m/z peak. Through theory and experiment, we demonstrate that over 90% of all y-type product ions have detectable doublets. We report on an algorithm that can extract these neutron signatures with high sensitivity and specificity. In other words, of 15,503 y-type product ion peaks, the y-type ion identification algorithm correctly identified 14,552 (93.2%) based on detection of the NeuCode doublet; 6.8% were misclassified (i.e. other ion types that were assigned as y-type products). Searching NeuCode labeled yeast with PepNovo⁺ resulted in a 34% increase in correct de novo identifications relative to searching through MS/MS only. We use this tool to simplify spectra prior to database searching, to sort unmatched tandem mass spectra for spectral richness, for correlation of co-fragmented ions to their parent precursor, and for de novo sequence identification.The ability to make de novo sequence identifications directly from tandem mass spectra has long been a holy grail of the proteomic community. Such a capability would wean the field from its reliance upon sequenced genome databases. Even for organisms with fully annotated genomes, events such as single nucleotide polymorphisms, alternative splicing, gene fusion, and a host of other genomic transformations can result in altered proteomes. These alterations can vary from cell to cell and individual to individual. Thus, one could argue that the most valuable proteomic information, the individual and cellular proteome variation from the genome, remains elusive (1). This problem has received considerable attention; that said, it is not easy to de novo correlate spectrum to sequence in a large-scale, automated fashion (2–6). Improvements in mass accuracy have helped, but routine, reliable de novo sequencing without database assistance is not standard (7–10).A primary means to facilitate de novo spectral interpretation is the simple annotation of m/z peaks in tandem mass spectra as either N- or C-terminal. We and others have investigated this seemingly simple first step. Real-world spectra, however, are complex. Difficulties often arise in determining the charge state of the fragment or in differentiating between fragment ions and peaks arising from neutral loss, internal fragmentation, or spectral noise, both electronic and chemical. Several strategies have focused on product ion annotation. These approaches have included manipulation of the N-terminus basicity combined with electron transfer dissociation (ETD)¹ (11–13). This approach can yield mostly N-terminal fragments for peptides having only two charges. However, it requires both ETD and the protease LysN. Other methods have used differential labeling of N- and C-terminal peptides to shift either one or the other product ion series, by either metabolic or chemical means (14–18). Metabolic incorporation of amino acids is an efficient method of introducing distinctive labels that eliminates in vitro labeling, but this method requires that the sample be amenable to cell culture (19, 20). Additionally, it may be difficult to achieve complete labeling in complex systems. Several other approaches used to introduce heavy isotopes onto one terminus have been investigated, including trypsin digestion in ¹⁸O water (21–23), differential isotopic esterification (24, 25), derivatization of the C-terminal carboxylate by p-bromophenethylamine (8, 26), N-terminal derivatization with sulfonic acid groups (27, 28), and formaldehyde labeling via reductive amination (29–31). These chemical modifications are introduced after cell lysis, often immediately prior to analysis. Although chemical labeling strategies can be used with a variety of samples, difficulties can arise from differences in labeling efficiency between samples, and often a clean-up step is required following labeling, which may lead to sample loss. No matter the labeling method, in this regime, the two precursors must be separately isolated, fragmented, and analyzed either together or separately. The recognition and selection of the broadly spaced doublet in real time also are necessary. These requirements have limited the utility of these approaches. Our own laboratory discovered that the c- and ^●z-type product ions generated from either electron capture dissociation or ETD have distinct chemical formulae and therefore can always be distinguished based on accurate mass alone (32). The problem with this approach is that extremely high mass accuracy (<500 ppb) is required in order to distinguish these product ion types above ∼600 Da in mass. Thus, the majority of the product ions within a spectrum cannot be readily mapped to either terminus with high confidence.Despite these difficulties, we assert that robust de novo sequencing methodology would benefit greatly from a simple method that could be used to distinguish N- and C-terminal product ions with high accuracy and precision. Ideally, the approach would work regardless of the choice of proteolytic enzyme or dissociation method. Recently, we described a new technology for protein quantification called neutron encoding (NeuCode) (33). NeuCode embeds millidalton mass differences into peptides and proteins by exploiting the mass defect induced by differences in the nuclear binding energies of the various stable isotopes of common elements such as C, N, H, and O. For example, consider the amino acid lysine, which has eight additional neutrons (+8 Da). One way to synthesize this amino acid is to add six ¹³C atoms and two ¹⁵N atoms (+8.0142 Da). Another isotopologue could be constructed by adding eight ²H atoms (+8.0502). These two isotopologues differ by only 36 mDa; peptide precursors containing both of these amino acids would appear as a single, unresolved precursor m/z peak at a mass resolving power of less than ∼100,000. However, under high resolving powers (i.e. greater than ∼100,000 at m/z 400), this doublet is resolved. We first developed this NeuCode concept in the context of metabolic labeling, akin to stable isotope labeling with amino acids in cell culture (SILAC), except that instead of the precursor partners being separated by 4 to 8 Da, they are separated by only 6 to 40 mDa. For quantitative purposes, NeuCode promises to deliver ultraplexed SILAC (>12) without increasing spectral complexity.We reasoned that the isotopologues of Lys that permit NeuCode SILAC would generate a distinct fingerprint on C-terminal product ions. Specifically, peptides that have been labeled with NeuCode SILAC and digested with LysC uniformly contain Lys at the C terminus. Upon MS/MS, all C-terminal product ions should present as doublets (with duplex NeuCode), whereas N-terminal products will be detected as a single m/z peak. The very close m/z spacing of the NeuCode SILAC partners will ensure that each partner is always co-isolated and that the signatures are visible only upon high-resolving-power mass analysis. Here we investigate the combination of NeuCode SILAC and high-resolving-power MS/MS analysis to allow the straightforward identification of C-terminal product ions.

Sample Preparation

Saccharomyces cerevisiae strain BY4741 Lys1Δ was grown in defined synthetic complete (SC, Sunrise Science, San Diego, CA) drop-out media with either heavy 6C¹³/2N¹⁵ lysine (+8.0142 Da, Cambridge Isotopes, Tewksbury, MA), or heavy 8D (+8.0502 Da, Cambridge Isotopes). Cells were propagated to a minimum of 10 doublings. At mid-log phase, cells were harvested via centrifugation at 3,000 × g for 3 min and then washed three times with chilled double distilled H₂O. Cell pellets were resuspended in 5 ml lysis buffer (50 mm Tris pH 8, 8 m urea, 75 mm sodium chloride, 100 mm sodium butyrate, 1 mm sodium orthovanadate, protease and phosphatase inhibitor tablet), and protein was extracted via glass bead milling (Retsch, Haan, Germany). Protein concentration was measured via BCA (Pierce). Cysteines in the yeast lysate were reduced with 5 m dithiothreitol at ambient temperature for 30 min, alkylated with 15 mm iodoacetamide in the dark at ambient temperature for 30 min, and then quenched with 5 mm dithiothreitol. 50 mm tris (pH 8.0) was used to dilute the urea concentration to 4 m. Proteins were digested with LysC (1:50 enzyme:protein ratio) at ambient temperature for 16 h. The digestion was quenched with TFA and desalted with a tC18 Sep-Pak (Waters, Etten-Leur, The Netherlands). Samples were prepared by mixing 6C¹³/2N¹⁵ (+8.0412 Da) and 8D (+8.0502 Da) labeled peptides in 1:1 ratios by mass. For strong cation exchange fractionation, peptides were dissolved in 400 μl of strong cation exchange buffer A (5 mm KH₂PO₄ and 30% acetonitrile; pH 2.65) and injected onto a polysulfoethylaspartamide column (9.4 mm × 200 mm; PolyLC) attached to a Surveyor LC quarternary pump (Thermo Electron, West Chester, PA) operating at 3 ml/min. Peptides were detected by photodiode array detector (Thermo Electron, West Chester, PA). Fractions were collected every 2 min starting at 10 min into the following gradient: 0–2 min at 100% buffer A, 2–5 min at 0%–15% buffer B (5 mm KH₂PO₄, 30% acetonitrile, and 350 mm KCl (pH 2.65)), and 5–35 min at 15%–100% buffer B. Buffer B was held at 100% for 10 min. Finally, the column was washed with buffer C (50 mm KH₂PO₄ and 500 mm KCl (pH 7.5)) and water before recalibration. Fractions were collected by hand every 2 to 3 min starting at 10 min into the gradient and were lyophilized and desalted with a tC18 Sep-Pak (Waters).

LC-MS/MS

Samples were loaded onto a 15-cm-long, 75-μm capillary column packed with 5 μm Magic C18 (Michrom, Auburn, CA) particles in mobile phase A (0.2% formic acid in water). Peptides were eluted with mobile phase B (0.2% formic acid in acetonitrile) over a 120-min gradient at a flow rate of 300 nl/min. Eluted peptides were analyzed by an Orbitrap Elite mass spectrometer. For the nonfractionated samples, mass spectrometer instrument methods comprised one MS¹ scan followed by data-dependent MS² scans of the five most intense precursors. A survey MS¹ scan was performed by the Orbitrap at 30,000 resolving power to identify precursors to sample for tandem mass spectrometry, and this was followed by an additional MS¹ scan at 480,000 resolving power (at m/z 400; actual mass resolving power of 470,700). Data-dependent tandem mass spectrometry was performed via beam-type collisional activated dissociation (HCD) in the Orbitrap at a resolving power of 15,000, 60,000, 120,000, or 240,000 and a collision energy of 30. Preview mode was enabled, and precursors of unknown charge or with a charge of +1 were excluded from MS² sampling. For experiments comparing the duty cycle and resolving power required in order to distinguish y-ion doublets, MS¹ and MS² target ion accumulation values were set to 5 × 10⁵ and 5 × 10⁴, respectively. For all other experiments, MS¹ target accumulation values were set to 1 × 10⁶ and MS² accumulation values were set to 4 × 10⁵. Dynamic exclusion was set to 30 s for −0.55 m/z and +2.55 m/z of selected precursors. For ETD analysis, data-dependent top-five mass spectrometry was performed at a resolving power of 240,000 (m/z 400; actual MS² mass resolving power of 271,000) (34). ETD accumulation values were set to 1 × 10⁶ for MS¹ target accumulation and 4 × 10⁵ for MS² target accumulation. The fluoranthene reaction time was set to 100 ms. For the high-pH strong cation exchange fractions, data-dependent tandem mass spectrometry was performed via HCD at a resolving power of either 60,000 or 120,000 and a collision energy of 30. Preview mode was enabled, and precursors of unknown charge or with a charge of +1 were excluded from MS² sampling. MS¹ targets were set to 1 × 10⁶, and MS² accumulation values were set to 4 × 10⁵. Dynamic exclusion was set to 45 s for −0.55 m/z and +2.55 m/z of selected precursors. Analysis by use of a wide isolation window was performed on an Orbitrap Fusion. MS¹ analysis was performed at 450,000 resolving power (m/z 200), and MS² analysis was performed at 120,000 resolving power (m/z 400). Data-dependent top-N mass spectrometry was performed, with precursors selected from sequential 25-Da windows. HCD was performed twice on the same precursor, first by use of a quadrupole isolation width of 0.7 m/z for peptide identification, and then using 25 m/z quadrupole isolation. Fragment ions were analyzed in the Orbitrap at a mass resolving power of 120,000 (m/z 400). MS¹ and MS² target accumulation values were set to 2 × 10⁵ and 5 × 10⁴, respectively.

Data Analysis

Thermo.raw files were converted to searchable DTA text files using the Coon OMSSA Proteomic Analysis Software Suite (COMPASS) (35). DTA files containing exclusively y-ions were generated using an in-house algorithm. DTA files were searched against the UniProt yeast database (version 132) with Lys-C specificity using the Open Mass Spectrometry Search Algorithm (OMSSA), version 2.1.9 (36). Methionine oxidation was searched as a variable modification. Cysteine carbamidomethylation and the mass shift imparted by the lysine isotopolgues were searched as fixed modifications. For MS² scans performed at a resolving power of 60,000, 120,000, or 240,000, a shift of +8.0142, representing the mass shift of the ¹³C₆¹⁵N₂ isotopologue, was searched. For MS² scans performed at 15,000 resolving power, the average shift of the ¹³C₆¹⁵N₂ and ⁸H₂ isotopologues (+8.0322) was searched. For all analyses, the precursor mass was obtained from the 480,000 MS scan. The precursor mass tolerance was defined as 50 ppm, and the fragment ion mass tolerance was set to 0.01 Da. A histogram of precursor mass error at different search tolerances is presented in supplemental Fig. S1. Using the COMPASS software suite, obtained search results were filtered to 1% FDR based on E-values. y-ion doublets were extracted from raw files using an in-house algorithm explained in the supplemental information. Briefly, an ensemble of three different machine learning models was used to score each MS/MS spectral peak for C-terminal product ion prediction. To train our ensemble learner to correctly distinguish C-terminal product ion peaks from N-terminal product ion peaks and noise peaks within our experimental MS/MS spectra, we generated a representative training set of spectral data. Instances used for training and test sets were peaks acquired only from MS/MS spectra associated with a peptide identification. Peaks with a signal-to-noise value of less than 5 were not used. Feature information for each training/testing instance was extracted from raw spectral data. Seven MS/MS spectral features were selected to generate training and test set data: (1) “has doublet” (evaluated as “true” only if a spectral peak could be found at the predicted m/z of the peak''s “heavy” partner), (2) “signal-to-noise” (discretized using a scale of 1–5 based on the peak''s signal-to-noise value), (3) “is isotope,” (4) “is neutral loss,” (5) “number of isotopes,” (6) “number of doublet isotopes,” and (7) “has neutral loss.”To evaluate NeuCode SILAC labeling for automated de novo sequencing, PepNovo⁺ (8) was benchmarked on y-ion predicted spectra. First, a set of identified spectra from 13,832 unique peptides (>7,400 per precursor charge 2–3) was produced to train PepNovo⁺ so it could learn features such as the relative peak height ranks of b/y-ions and the probability of noise at each mass interval. These training spectra were acquired under the 11 NeuCode yeast strong cation exchange fractions prepared as described above. Thermo raw files were converted into mzXML format using ProteoWizard v2.2.2828 (with peak-picking turned on) and identified by MS-GF⁺ v9358 (37) at a 1% spectrum-level FDR against the UniProt yeast database (plus isoforms), v20110729. A fixed modification of K⁺8.0142 was imposed along with variable modifications of oxidized Met and deamidated Asn/Gln. All MS/MS scans were searched with a 50-ppm precursor mass tolerance, the high-accuracy LTQ instrument setting, the HCD fragmentation setting, and one allowed missed Lys-C cleavage.Thermo.raw files were also converted into DTA spectra as before, except the in-house algorithm for selecting y-ion doublets was slightly altered to boost the peak height of predicted y-ions above that of other peaks (the cumulative peak height was equal to the sum of the monoisotopic doublet peaks, all isotopic doublet peaks, and two times the peak height of the base peak) and to convert their m/z to charge one. Remaining peaks not predicted to be y-ions were converted to charge one by a previously described MS/MS deconvolution tool (38). Deconvoluted DTA spectra that originated from identified MS/MS scans were then paired with the MSGF⁺ peptide IDs and passed to PepNovo⁺ for training. The resulting PepNovo⁺ scoring model lacked the rank-boosting component (39), which requires identified spectra from >100,000 unique peptides per precursor charge state and extensive modification of the PepNovo⁺ source code to train. Still, the model was sufficient to perform de novo peptide sequencing on the y-ion predicted spectra. PepNovo⁺ was also run on the raw MS/MS scans (mzXML spectra converted to MGF with all MS/MS peaks converted to charge one) by use of a previously trained HCD scoring model that also lacks the rank-boosting component (40). The following PepNovo⁺ parameters were set at all stages of training and benchmarking: fixed modification of K⁺8.0142; variable modifications of oxidized Met and deamidated Asn; 0.01-Da fragment mass tolerance; use of spectrum precursor charge; and use of spectrum precursor m/z.     

Characterization of mycolic acids from the pathogen Rhodococcus equi by tandem mass spectrometry with electrospray ionization

We describe a simple tandem mass spectrometric approach toward structural characterization of mycolic acids, the long-chain α-alkyl-β-hydroxy fatty acids unique to mycobacteria and related taxa. On collisionally activated dissociation in a linear ion trap or tandem quadrupole mass spectrometer, the [M−H]⁻ ions of mycolic acid generated by electrospray ionization undergo dissociation to eliminate the meroaldehyde residue, leading to formation of carboxylate anions containing α-alkyl chains. The structural information from these fragment ions affords structural assignment of the mycolic acids, including the lengths of the meromycolate chain and the α-branch. This study revealed that the mycolic acids isolated from pathogenic Rhodococcus equi 103 contained a series of homologous ions having C₃₀ to C₅₀ chain with 0–2 double bonds. The α-branch ranged from C₁₀ to C₁₈ with 0 to 1 double bond, in which 16:0 and 14:0 are the most prominent, whereas the meromycolate chain ranged from C₁₄ to C₃₄ with 0 to 2 double bonds. The major molecular species consisted of more than 3 isomers that differ by the lengths of the α-branch or meromycolate chain, and up to 10 isobaric isomers were identified for some minor ions. We also employed tandem quadrupole mass spectrometry with precursor ion and neutral loss scans for profiling mycolic acid with specific structure in mixtures. The tandem spectra obtained from precursor ion scans of m/z 255 (16:0-carboxylate anion) and m/z 227 (14:0-carboxylate anion) may provide a simple specific means for classification of Rhodococci species, whereas tandem spectra from neutral loss of meroaldehyde residue scans provided a simple approach to reveal the mycolic acid molecules with specific meromycolate chain in mixtures.     

Balancing robust quantification and identification for iTRAQ: Application of UHR‐ToF MS

iTRAQ reagents allow the simultaneous multiplex identification and quantification of a large number of proteins. Success depends on effective peptide fragmentation in order to generate both peptide sequence ions (higher mass region, 150–2200 m/z) and reporter ions (low mass region, 113–121 m/z) for protein identification and relative quantification, respectively. After collision‐induced dissociation, the key requirements to achieve a good balance between the high and low m/z ions are effective ion transmission and detection across the MS/MS mass range, since the ion transmission of the higher m/z range competes with that of the low m/z range. This study describes an analytical strategy for the implementation of iTRAQ on maXis UHR‐Qq‐ToF instruments, and discusses the impact of adjusting the MS/MS ion transmission parameters on the quality of the overall data sets. A technical discussion highlights a number of maXis‐specific parameters, their impact of quantification and identification, and their cross‐interactions.     

Negative ion electrospray high-performance liquid chromatography–mass spectrometry method development for determination of a highly polar phosphonic acid/sulfonic acid compound in plasma: Optimization of ammonium acetate concentration and in-source collision-induced dissociation

A method, based on negative ion electrospray ionization (ESI) single-stage mass spectrometry coupled with HPLC, was developed for the determination of a squalene synthase inhibitor, BMS-187745, in human plasma. BMS-187745, a highly polar compound with both phosphonic acid and sulfonic acid groups, presented difficulties in developing plasma extraction and HPLC procedures. Precipitation of the plasma protein with methanol was finally chosen as the basis for sample preparation since extraction with water-immiscible solvents or with solid-phase extraction columns failed. It was essential to add ammonium acetate to the HPLC mobile phase, not only to enhance the retention of BMS-187745 but also to ensure a well-shaped chromatographic peak. While the use of ammonium acetate had the desired chromatographic effects, it had the undesirable consequence of suppressing the negative ion ESI signal. With the plasma extracts, the [M–H₂O–H]⁻ ion (m/z 367) showed significantly lower chemical noise than the [M–H]⁻ ion (m/z 385), and was thus chosen as the analytical ion for the selected ion monitoring. The signal of the m/z 367 ion was significantly enhanced by the optimization of the in-source collision-induced dissociation (CID) of m/z 385 to m/z 367.     

Inhibition of Sulfur Use by Sulfite Ion in Thiobacillus ferrooxidans

In Thiobacillus ferrooxidans AP19-3, elemental sulfur is oxidized by the cooperation of three enzymes, namely, hydrogen sulfide: ferric ion oxidoreductase (SFORase), sulfite: ferric ion oxidoreductase, and iron oxidase. Sulfite ions are one of the products when elemental sulfur is oxidized by SFORase. Under the conditions in which sulfite ions are accumulated in the cells, use of sulfur as an energy source by this strain was strongly inhibited. So the mechanism of inhibition by sulfite ions in T. ferrooxidans AP19-3 was studied. The activities of SFORase and iron oxidase were completely inhibited by 0.8 mm and 1.5 mm NaHSO₃, respectively. ¹⁴CO₂ uptake into washed intact cells was also completely inhibited by 1mm NaHSO₃ when ferrous ion or elemental sulfur was used as an energy source. However, the activities of ribulose-1,5-bisphosphate carboxylase, phosphoribulokinase, and ribosephosphate isomerase measured with a cell-free extract were not inhibited by NaHSO₃ at 1 mm, indicating that sulfite ions didn’t inhibit key enzymes of the Calvin cycle. Since the activity of CO₂ uptake into washed intact cells was absolutely dependent on Fe^{2 +} - or S0-oxidation, mechanism of inhibition of sulfur use by sulfite ions is proposed as follows: sulfite ions inhibit SFORase and iron oxidase, as a result T. ferrooxidans AP19-3 can not obtain a carbon source for CO₂ fixation and stops cell growth on sulfur-salts medium.     

Epoxy ceriporic acid produced by selective lignin-degrading fungus Ceriporiopsis subvermispora

Ceriporiopsis subvermispora is a selective white rot basidiomycete which degrades lignin in wood at a distance far from enzymes. Low molecular mass metabolites play a central role in the oxidative degradation of lignin. To understand the unique wood-decaying mechanism, we surveyed the oxidized derivatives of ceriporic acids (alk(en)ylitaconic acids) produced by C. subvermispora using high-resolution liquid chromatography multiple-stage mass spectrometry (HR-LC/MSⁿ). The analysis of the precursor and product ions from the extract suggested that an epoxidized derivative of ceriporic acid is produced by the fungus. To identify the new metabolite, an authentic compound of ceriporic acid epoxide was synthesized in vitro by reacting (R)-3-[(Z)-hexadec-7-enyl]-itaconic acid (ceriporic acid C) with m-chloroperbenzoic acid. The precursor and product ions from the natural metabolite and authentic epoxide were identical and distinguishable from those of hydroxy and hydroperoxy derivatives after reduction with NaBD₄. Feeding experiments with [U-¹³C]-glucose, 99% and the subsequent analyses of the first and second generation product ions demonstrated that the oxidized ceriporic acid was (R)-3-(7,8-epoxy-hexadecyl)-itaconic acid. To our knowledge, this study is the first to report that natural alkylitaconic acid bears an epoxy group on its side chain.     

Metabolite Profiling in Withania somnifera Roots Hydroalcoholic Extract Using LC/MS,GC/MS and NMR Spectroscopy

Ashwagandha (Withania somnifera) is a very well‐known herbal medicine and it was well studied for its active metabolites throughout the World. Although, nearly 40 withanolides were isolated from W. somnifera root extract, still there is remaining unidentified metabolites due to very low abundance and geographical variation. Advanced separation technology with online identification by mass and nuclear magnetic resonance (NMR) are nowadays used to find out the new compounds in the crude herbal extract. This article described the metabolite profiling of ashwagandha root hydroalcoholic extract using ultra‐performance liquid chromatography coupled with a positive ion electrospray ionization tandem mass spectrometry through gas chromatography mass spectrometry (GC/MS) and NMR spectroscopy. A total of 43 possible withanolides was identified and proposed their structures based on the mass of molecular and fragment ions. GC/MS and NMR analysis indicated the presence of several known withanolides including withaferin A, withanolide D, withanoside IV or VI, withanolide sulfoxide, etc. To the best of our knowledge, dihydrowithanolide D at m/z 473 (t_R 7.86 min) and ixocarpalactone A at m/z 505 (t_R 8.43 min) were first time identified in the ashwagandha root hydroalcoholic extract. The current study that described the identification of withanolides with summarized literature review might be helpful for designing the experiment to identify of the new chemical constituents in Withania species.