Abstract:In this report, we describe a dual ionization source ion mobility-mass spectrometer (IM-MS) instrument platform for investigations that critically compare ion mobility collision cross section (CCS) measurements obtained from different ionization methods. The instrument incorporates both matrix-assisted laser desorption ionization (MALDI) and nano-electrospray ionization (nESI) sources. The nESI source incorporates a keyhole geometry ion funnel design which facilitates axial ion focusing, accumulation, and gene… Show more
“…Peptide CCS measurements are reported in Table 1. The peptide natural products were prepared and analyzed using a MALDI-IM-MS instrument which was described previously, 10 and further information about the sample preparation and collision cross section calculations can be found in the Experimental Section below. The collision cross sections for all of the quasimolecular ions present ( i.e.…”
A significant challenge in natural product discovery is the initial discrimination of discrete secondary metabolites alongside functionally similar primary metabolic cellular components within complex biological samples. A property that has yet to be fully exploited for natural product identification and characterization is the gas phase collision cross section, or, more generally, the mobility-mass correlation. Peptide natural products possess many of the properties that distinguish natural products as they are frequently characterized by a high degree of intramolecular bonding, and possess extended and compact conformations among other structural modifications. This report describes a rapid structural mass spectrometry technique based on ion mobility-mass spectrometry for the comparison of peptide natural products to their primary metabolic congeners using mobility-mass correlation. This property is empirically determined using ion mobility-mass spectrometry, applied to the analysis of linear versus modified peptides, and used to discriminate peptide natural products in a crude microbial extract. Complementary computational approaches are utilized to understand the structural basis for the separation of primary metabolism derived linear peptides from secondary metabolite cyclic and modified cyclic species. These findings provide a platform for enhancing the identification of secondary metabolic peptides with distinct mobility-mass ratios within complex biological samples.
“…Peptide CCS measurements are reported in Table 1. The peptide natural products were prepared and analyzed using a MALDI-IM-MS instrument which was described previously, 10 and further information about the sample preparation and collision cross section calculations can be found in the Experimental Section below. The collision cross sections for all of the quasimolecular ions present ( i.e.…”
A significant challenge in natural product discovery is the initial discrimination of discrete secondary metabolites alongside functionally similar primary metabolic cellular components within complex biological samples. A property that has yet to be fully exploited for natural product identification and characterization is the gas phase collision cross section, or, more generally, the mobility-mass correlation. Peptide natural products possess many of the properties that distinguish natural products as they are frequently characterized by a high degree of intramolecular bonding, and possess extended and compact conformations among other structural modifications. This report describes a rapid structural mass spectrometry technique based on ion mobility-mass spectrometry for the comparison of peptide natural products to their primary metabolic congeners using mobility-mass correlation. This property is empirically determined using ion mobility-mass spectrometry, applied to the analysis of linear versus modified peptides, and used to discriminate peptide natural products in a crude microbial extract. Complementary computational approaches are utilized to understand the structural basis for the separation of primary metabolism derived linear peptides from secondary metabolite cyclic and modified cyclic species. These findings provide a platform for enhancing the identification of secondary metabolic peptides with distinct mobility-mass ratios within complex biological samples.
“…Additionally, we have also measured the CCS of all charge states except the [M + 2H] 2+ using a low‐resolution ( t /Δ t of ca . 20) drift tube instrument, which has been described previously . A comparison of these measurements is provided in Fig.…”
An experimental investigation of protonated melittin was undertaken using uniform field ion mobility-mass spectrometry (IM-MS) to measure helium-based collision cross sections (CCS). Upon varying the electrospray solvent from aqueous to methanol, the [M + 2H](2+) species was observed to shift from a compact to an extended CCS, suggesting a gas-phase structural transition which depends on initial solvent conditions. The [M + 3H](3+), [M + 4H](4+), and [M + 5H](5+) species exhibited peak broadening in response to the organic solvent, but retained their CCS, suggesting these are locked into a stable gas-phase structure. The CCS of the stable [M + 3H](3+) and [M + 4H](4+) species were found to be similar, suggesting these ions adopt structurally similar features in the gas phase, which, based on previous studies, likely retains α-helical characteristics. We also report on the resolution of additional low-abundance ion mobility peak features which are sensitive to the magnitude of the drift field. We observe a loss in the peptide ion mobility resolution above ca. eight Townsends, suggesting that the ability to resolve subtle structural details is inherently related to conducting ion mobility measurements at low field and under conditions which minimize ion heating.
Ion mobility-mass spectrometry (IM-MS)
allows the separation of
ionized molecules based on their charge-to-surface area (IM) and mass-to-charge
ratio (MS), respectively. The IM drift time data that is obtained
is used to calculate the ion-neutral collision cross section (CCS)
of the ionized molecule with the neutral drift gas, which is directly
related to the ion conformation and hence molecular size and shape.
Studying the conformational landscape of these ionized molecules computationally
provides interpretation to delineate the potential structures that
these CCS values could represent, or conversely, structural motifs
not consistent with the IM data. A challenge in the IM-MS community
is the ability to rapidly compute conformations to interpret natural
product data, a class of molecules exhibiting a broad range of biological
activity. The diversity of biological activity is, in part, related
to the unique structural characteristics often observed for natural
products. Contemporary approaches to structurally interpret IM-MS
data for peptides and proteins typically utilize molecular dynamics
(MD) simulations to sample conformational space. However, MD calculations
are computationally expensive, they require a force field that accurately
describes the molecule of interest, and there is no simple metric
that indicates when sufficient conformational sampling has been achieved.
Distance geometry is a computationally inexpensive approach that creates
conformations based on sampling different pairwise distances between
the atoms within the molecule and therefore does not require a force
field. Progressively larger distance bounds can be used in distance
geometry calculations, providing in principle a strategy to assess
when all plausible conformations have been sampled. Our results suggest
that distance geometry is a computationally efficient and potentially
superior strategy for conformational analysis of natural products
to interpret gas-phase CCS data.
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