17 research outputs found
Constant-Distance Mode Nanospray Desorption Electrospray Ionization Mass Spectrometry Imaging of Biological Samples with Complex Topography
A new
approach for constant-distance mode mass spectrometry imaging
(MSI) of biological samples using nanospray desorption electrospray
ionization (nano-DESI) was developed by integrating a shear-force
probe with the nano-DESI probe. The technical concept and basic instrumental
setup, as well as the general operation of the system are described.
Mechanical dampening of resonant oscillations due to the presence
of shear forces between the probe and the sample surface enabled the
constant-distance imaging mode via a computer-controlled closed-feedback
loop. The capability of simultaneous chemical and topographic imaging
of complex biological samples is demonstrated using living Bacillus subtilis ATCC 49760 colonies on agar plates.
The constant-distance mode nano-DESI MSI enabled imaging of many metabolites,
including nonribosomal peptides (surfactin, plipastatin, and iturin)
on the surface of living bacterial colonies, ranging in diameter from
10 to 13 mm, with height variations up to 0.8 mm above the agar plate.
Co-registration of ion images to topographic images provided higher-contrast
images. Based on this effort, constant-mode nano-DESI MSI proved to
be ideally suited for imaging biological samples of complex topography
in their native states
Quantitative Mass Spectrometry Imaging of Prostaglandins as Silver Ion Adducts with Nanospray Desorption Electrospray Ionization
Prostaglandins
(PG) are an important class of lipid biomolecules
that are essential in many biological processes, including inflammation
and successful pregnancy. Despite a high bioactivity, physiological
concentrations are typically low, which makes direct mass spectrometric
analysis of endogenous PG species challenging. Consequently, there
have not been any studies investigating PG localization to specific
morphological regions in tissue sections using mass spectrometry imaging
(MSI) techniques. Herein, we show that silver ions, added to the solvent
used for nanospray desorption electrospray ionization (nano-DESI)
MSI, enhances the ionization of PGs and enables nano-DESI MSI
of several species in uterine tissue from day 4 pregnant mice. It
was found that detection of [PG + Ag]<sup>+</sup> ions increased the
sensitivity by âŒ30 times, when compared to [PG â H]<sup>â</sup> ions. Further, the addition of isotopically labeled
internal standards enabled generation of quantitative ion images for
the detected PG species. Increased sensitivity and quantitative MSI
enabled the first proof-of-principle results detailing PG localization
in mouse uterus tissue sections. These results show that PG species
primarily localized to cellular regions of the luminal epithelium
and glandular epithelium in uterine tissue. Further, this study provides
a unique scaffold for future studies investigating the PG distribution
within biological tissue samples
Identification of Mercury and Dissolved Organic Matter Complexes Using Ultrahigh Resolution Mass Spectrometry
The
chemical speciation and bioavailability of mercury (Hg) is
markedly influenced by its complexation with naturally dissolved organic
matter (DOM) in aquatic environments. To date, however, analytical
methodologies capable of identifying such complexes are scarce. Here,
we utilize ultrahigh resolution Fourier transform ion cyclotron resonance
mass spectrometry (FTICR-MS) coupled with electrospray ionization
to identify individual HgâDOM complexes. The measurements were
performed by direct infusion of DOM in a 1:1 methanol:water solution
at a Hg to dissolved organic carbon (DOC) molar ratio of 3 Ă
10<sup>â4</sup>. Heteroatomic molecules, especially those containing
multiple S and N atoms, were found to be among the most important
in forming strong complexes with Hg. Major HgâDOM complexes
of C<sub>10</sub>H<sub>21</sub>N<sub>2</sub>S<sub>4</sub>Hg<sup>+</sup> and C<sub>8</sub>H<sub>17</sub>N<sub>2</sub>S<sub>4</sub>Hg<sup>+</sup> were identified based on both the exact molecular mass and
patterns of Hg stable isotope distributions detected by FTICR-MS.
Density functional theory was used to predict the solution-phase structures
of candidate molecules. These findings represent the first step to
unambiguously identify specific DOM molecules in Hg binding, although
future studies are warranted to further optimize and validate the
methodology so as to explore detailed molecular compositions and structures
of HgâDOM complexes that affect biological uptake and transformation
of Hg in the environment
Multimodal MSI in Conjunction with Broad Coverage Spatially Resolved MS<sup>2</sup> Increases Confidence in Both Molecular Identification and Localization
One critical aspect
of mass spectrometry imaging (MSI) is the need
to confidently identify detected analytes. While orthogonal tandem
MS (e.g., LCâMS<sup>2</sup>) experiments from sample extracts
can assist in annotating ions, the spatial information about these
molecules is lost. Accordingly, this could cause mislead conclusions,
especially in cases where isobaric species exhibit different distributions
within a sample. In this Technical Note, we employed a multimodal
imaging approach, using matrix assisted laser desorption/ionization
(MALDI)-MSI and liquid extraction surface analysis (LESA)-MS<sup>2</sup>I, to confidently annotate and localize a broad range of metabolites
involved in a tripartite symbiosis system of moss, cyanobacteria,
and fungus. We found that the combination of these two imaging modalities
generated very congruent ion images, providing the link between highly
accurate structural information onfered by LESA and high spatial resolution
attainable by MALDI. These results demonstrate how this combined methodology
could be very useful in differentiating metabolite routes in complex
systems
Molecular Insights into Arctic Soil Organic Matter Degradation under Warming
Molecular
composition of the Arctic soil organic carbon (SOC) and
its susceptibility to microbial degradation are uncertain due to heterogeneity
and unknown SOC compositions. Using ultrahigh-resolution mass spectrometry,
we determined the susceptibility and compositional changes of extractable
dissolved organic matter (EDOM) in an anoxic warming incubation experiment
(up to 122 days) with a tundra soil from Alaska (United States). EDOM
was extracted with 10 mM NH<sub>4</sub>HCO<sub>3</sub> from both the
organic- and mineral-layer soils during incubation at both â2
and 8 °C. Based on their O:C and H:C ratios, EDOM molecular formulas
were qualitatively grouped into nine biochemical classes of compounds,
among which lignin-like compounds dominated both the organic and the
mineral soils and were the most stable, whereas amino sugars, peptides,
and carbohydrate-like compounds were the most biologically labile.
These results corresponded with shifts in EDOM elemental composition
in which the ratios of O:C and N:C decreased, while the average C
content in EDOM, molecular mass, and aromaticity increased after 122
days of incubation. This research demonstrates that certain EDOM components,
such as amino sugars, peptides, and carbohydrate-like compounds, are
disproportionately more susceptible to microbial degradation than
others in the soil, and these results should be considered in SOC
degradation models to improve predictions of Arctic climate feedbacks
Advanced Solvent Based Methods for Molecular Characterization of Soil Organic Matter by High-Resolution Mass Spectrometry
Soil organic matter (SOM), a complex,
heterogeneous mixture of
above and belowground plant litter and animal and microbial residues
at various degrees of decomposition, is a key reservoir for carbon
(C) and nutrient biogeochemical cycling in soil based ecosystems.
A limited understanding of the molecular composition of SOM limits
the ability to routinely decipher chemical processes within soil and
accurately predict how terrestrial carbon fluxes will respond to changing
climatic conditions and land use. To elucidate the molecular-level
structure of SOM, we selectively extracted a broad range of intact
SOM compounds by a combination of different organic solvents from
soils with a wide range of C content. Our use of electrospray ionization
(ESI) coupled with Fourier transform ion cyclotron resonance mass
spectrometry (FTICR MS) and a suite of solvents with varying polarity
significantly expands the inventory of the types of organic molecules
present in soils. Specifically, we found that hexane is selective
for lipid-like compounds with very low O/C ratios (<0.1); water
(H<sub>2</sub>O) was selective for carbohydrates with high O/C ratios;
acetonitrile (ACN) preferentially extracts lignin, condensed structures,
and tannin polyphenolic compounds with O/C > 0.5; methanol (MeOH)
has higher selectivity toward compounds characterized with low O/C
< 0.5; and hexane, MeOH, ACN, and H<sub>2</sub>O solvents increase
the number and types of organic molecules extracted from soil for
a broader range of chemically diverse soil types. Our study of SOM
molecules by ESI FTICR MS revealed new insight into the molecular-level
complexity of organics contained in soils. We present the first comparative
study of the molecular composition of SOM from different ecosystems
using ultra high-resolution mass spectrometry
Quantitative Profiling of Protein SâGlutathionylation Reveals Redox-Dependent Regulation of Macrophage Function during Nanoparticle-Induced Oxidative Stress
Engineered nanoparticles (ENPs) are
increasingly utilized for commercial
and medical applications; thus, understanding their potential adverse
effects is an important societal issue. Herein, we investigated protein
S-glutathionylation (SSG) as an underlying regulatory mechanism by
which ENPs may alter macrophage innate immune functions, using a quantitative
redox proteomics approach for site-specific measurement of SSG modifications.
Three high-volume production ENPs (SiO<sub>2</sub>, Fe<sub>3</sub>O<sub>4</sub>, and CoO) were selected as representatives which induce
low, moderate, and high propensity, respectively, to stimulate cellular
reactive oxygen species (ROS) and disrupt macrophage function. The
SSG modifications identified highlighted a broad set of redox sensitive
proteins and specific Cys residues which correlated well with the
overall level of cellular redox stress and impairment of macrophage
phagocytic function (CoO > Fe<sub>3</sub>O<sub>4</sub> â«
SiO<sub>2</sub>). Moreover, our data revealed pathway-specific differences
in susceptibility to SSG between ENPs which induce moderate <i>versus</i> high levels of ROS. Pathways regulating protein translation
and protein stability indicative of ER stress responses and proteins
involved in phagocytosis were among the most sensitive to SSG in response
to ENPs that induce subcytoxic levels of redox stress. At higher levels
of redox stress, the pattern of SSG modifications displayed reduced
specificity and a broader set pathways involving classical stress
responses and mitochondrial energetics (<i>e.g.,</i> glycolysis)
associated with apoptotic mechanisms. An important role for SSG in
regulation of macrophage innate immune function was also confirmed
by RNA silencing of glutaredoxin, a major enzyme which reverses SSG
modifications. Our results provide unique insights into the protein
signatures and pathways that serve as ROS sensors and may facilitate
cellular adaption to ENPs, <i>versus</i> intracellular targets
of ENP-induced oxidative stress that are linked to irreversible cell
outcomes
Rethinking Aerobic Respiration in the Hyporheic Zone under Variation in Carbon and Nitrogen Stoichiometry
Hyporheic zones (HZs)zones of groundwaterâsurface
water mixingare hotspots for dissolved organic matter (DOM)
and nutrient cycling that can disproportionately impact aquatic ecosystem
functions. However, the mechanisms affecting DOM metabolism through
space and time in HZs remain poorly understood. To resolve this gap,
we investigate a recently proposed theory describing trade-offs between
carbon (C) and nitrogen (N) limitations as a key regulator of HZ metabolism.
We propose that throughout the extent of the HZ, a single process
like aerobic respiration (AR) can be limited by both DOM thermodynamics
and N content due to highly variable C/N ratios over short distances
(centimeter scale). To investigate this theory, we used a large flume,
continuous optode measurements of dissolved oxygen (DO), and spatially
and temporally resolved molecular analysis of DOM. Carbon and N limitations
were inferred from changes in the elemental stoichiometric ratio.
We show sequential, depth-stratified relationships of DO with DOM
thermodynamics and organic N that change across centimeter scales.
In the shallow HZ with low C/N, DO was associated with the thermodynamics
of DOM, while deeper in the HZ with higher C/N, DO was associated
with inferred biochemical reactions involving organic N. Collectively,
our results suggest that there are multiple competing processes that
limit AR in the HZ. Resolving this spatiotemporal variation could
improve predictions from mechanistic models, either via more highly
resolved grid cells or by representing AR colimitation by DOM thermodynamics
and organic N
Rethinking Aerobic Respiration in the Hyporheic Zone under Variation in Carbon and Nitrogen Stoichiometry
Hyporheic zones (HZs)zones of groundwaterâsurface
water mixingare hotspots for dissolved organic matter (DOM)
and nutrient cycling that can disproportionately impact aquatic ecosystem
functions. However, the mechanisms affecting DOM metabolism through
space and time in HZs remain poorly understood. To resolve this gap,
we investigate a recently proposed theory describing trade-offs between
carbon (C) and nitrogen (N) limitations as a key regulator of HZ metabolism.
We propose that throughout the extent of the HZ, a single process
like aerobic respiration (AR) can be limited by both DOM thermodynamics
and N content due to highly variable C/N ratios over short distances
(centimeter scale). To investigate this theory, we used a large flume,
continuous optode measurements of dissolved oxygen (DO), and spatially
and temporally resolved molecular analysis of DOM. Carbon and N limitations
were inferred from changes in the elemental stoichiometric ratio.
We show sequential, depth-stratified relationships of DO with DOM
thermodynamics and organic N that change across centimeter scales.
In the shallow HZ with low C/N, DO was associated with the thermodynamics
of DOM, while deeper in the HZ with higher C/N, DO was associated
with inferred biochemical reactions involving organic N. Collectively,
our results suggest that there are multiple competing processes that
limit AR in the HZ. Resolving this spatiotemporal variation could
improve predictions from mechanistic models, either via more highly
resolved grid cells or by representing AR colimitation by DOM thermodynamics
and organic N
Rethinking Aerobic Respiration in the Hyporheic Zone under Variation in Carbon and Nitrogen Stoichiometry
Hyporheic zones (HZs)zones of groundwaterâsurface
water mixingare hotspots for dissolved organic matter (DOM)
and nutrient cycling that can disproportionately impact aquatic ecosystem
functions. However, the mechanisms affecting DOM metabolism through
space and time in HZs remain poorly understood. To resolve this gap,
we investigate a recently proposed theory describing trade-offs between
carbon (C) and nitrogen (N) limitations as a key regulator of HZ metabolism.
We propose that throughout the extent of the HZ, a single process
like aerobic respiration (AR) can be limited by both DOM thermodynamics
and N content due to highly variable C/N ratios over short distances
(centimeter scale). To investigate this theory, we used a large flume,
continuous optode measurements of dissolved oxygen (DO), and spatially
and temporally resolved molecular analysis of DOM. Carbon and N limitations
were inferred from changes in the elemental stoichiometric ratio.
We show sequential, depth-stratified relationships of DO with DOM
thermodynamics and organic N that change across centimeter scales.
In the shallow HZ with low C/N, DO was associated with the thermodynamics
of DOM, while deeper in the HZ with higher C/N, DO was associated
with inferred biochemical reactions involving organic N. Collectively,
our results suggest that there are multiple competing processes that
limit AR in the HZ. Resolving this spatiotemporal variation could
improve predictions from mechanistic models, either via more highly
resolved grid cells or by representing AR colimitation by DOM thermodynamics
and organic N