21 research outputs found
Profiling Protein Sâ Sulfination with Maleimideâ Linked Probes
Cysteine residues are susceptible to oxidation to form Sâ sulfinyl (Râ SO2H) and Sâ sulfonyl (Râ SO3H) postâ translational modifications. Here we present a simple bioconjugation strategy to label Sâ sulfinated proteins by using reporterâ linked maleimides. After alkylation of free thiols with iodoacetamide, Sâ sulfinated cysteines react with maleimide to form a sulfone Michael adduct that remains stable under acidic conditions. Using this sequential alkylation strategy, we demonstrate differential Sâ sulfination across mouse tissue homogenates, as well as enhanced Sâ sulfination following pharmacological induction of endoplasmic reticulum stress, lipopolysaccharide stimulation, and inhibitors of the electron transport chain. Overall, this study reveals a broadened profile of maleimide reactivity across cysteine modifications, and outlines a simple method for profiling the physiological role of cysteine Sâ sulfination in disease.Maleimide, but not iodoacetamide, reacts with aryl and alkyl sulfinic acid standards and Sâ sulfinated proteins to give a sulfonylâ succinimide adduct that is stable under acidic conditions. This sequential alkylation strategy can be used for selective sulfinic acid labeling in biological samples. This study reveals a broadened profile of maleimide reactivity across cysteine modifications in proteins.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138861/1/cbic201700137_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138861/2/cbic201700137.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138861/3/cbic201700137-sup-0001-misc_information.pd
Global Analysis of Palmitoylated Proteins in Toxoplasma gondii
SummaryPost-translational modifications (PTMs) such as palmitoylation are critical for the lytic cycle of the protozoan parasite Toxoplasma gondii. While palmitoylation is involved in invasion, motility, and cell morphology, the proteins that utilize this PTM remain largely unknown. Using a chemical proteomic approach, we report a comprehensive analysis of palmitoylated proteins in T. gondii, identifying a total of 282 proteins, including cytosolic, membrane-associated, and transmembrane proteins. From this large set of palmitoylated targets, we validate palmitoylation of proteins involved in motility (myosin light chain 1, myosin A), cell morphology (PhIL1), and host cell invasion (apical membrane antigen 1, AMA1). Further studies reveal that blocking AMA1 palmitoylation enhances the release of AMA1 and other invasion-related proteins from apical secretory organelles, suggesting a previously unrecognized role for AMA1. These findings suggest that palmitoylation is ubiquitous throughout the T. gondii proteome and reveal insights into the biology of this important human pathogen
DIA-SIFT: A Precursor and Product Ion Filter for Accurate Stable Isotope Data-Independent Acquisition Proteomics
Quantitative mass
spectrometry-based protein profiling is widely
used to measure protein levels across different treatments or disease
states, yet current mass spectrometry acquisition methods present
distinct limitations. While data-independent acquisition (DIA) bypasses
the stochastic nature of data-dependent acquisition (DDA), fragment
spectra derived from DIA are often complex and challenging to deconvolve.
In-line ion mobility separation (IMS) adds an additional dimension
to increase peak capacity for more efficient product ion assignment.
As a similar strategy to sequential window acquisition methods (SWATH),
IMS-enabled DIA methods rival DDA methods for protein annotation.
Here we evaluate IMS-DIA quantitative accuracy using stable isotope
labeling by amino acids in cell culture (SILAC). Since SILAC analysis
doubles the sample complexity, we find that IMS-DIA analysis is not
sufficiently accurate for sensitive quantitation. However, SILAC precursor
pairs share common retention and drift times, and both species cofragment
to yield multiple quantifiable isotopic <i>y</i>-ion peak
pairs. Since <i>y</i>-ion SILAC ratios are intrinsic for
each quantified precursor, combined MS1 and <i>y</i>-ion
ratio analysis significantly increases the total number of measurements.
With increased sampling, we present DIA-SIFT (<i>S</i>ILAC <i>I</i>ntrinsic <i>F</i>iltering <i>T</i>ool),
a simple statistical algorithm to identify and eliminate poorly quantified
MS1 and/or MS2 events. DIA-SIFT combines both MS1 and <i>y</i>-ion ratios, removes outliers, and provides more accurate and precise
quantitation (<15% CV) without removing any proteins from the final
analysis. Overall, pooled MS1 and MS2 quantitation increases sampling
in IMS-DIA SILAC analyses for accurate and precise quantitation
HDAC8 Substrates Identified by Genetically Encoded Active Site Photocrosslinking
The histone deacetylase family comprises
18 enzymes that catalyze
deacetylation of acetylated lysine residues; however, the specificity
and substrate profile of each isozyme remains largely unknown. Due
to transient enzymeâsubstrate interactions, conventional co-immunoprecipitation
methods frequently fail to identify enzyme-specific substrates. Additionally,
compensatory mechanisms often limit the ability of knockdown or chemical
inhibition studies to achieve significant fold changes observed by
acetylation proteomics methods. Furthermore, measured alterations
do not guarantee a direct link between enzyme and substrate. Here
we present a chemical crosslinking strategy that incorporates a photoreactive,
non-natural amino acid, <i>p</i>-benzoyl-l-phenylalanine,
into various positions of the structurally characterized isozyme histone
deacetylase 8 (HDAC8). After covalent capture, co-immunoprecipitation,
and mass spectrometric analysis, we identified a subset of HDAC8 substrates
from human cell lysates, which were further validated for catalytic
turnover. Overall, this chemical crosslinking approach identified
novel HDAC8-specific substrates with high catalytic efficiency, thus
presenting a general strategy for unbiased deacetylase substrate discovery
HDAC8 Substrates Identified by Genetically Encoded Active Site Photocrosslinking
The histone deacetylase family comprises
18 enzymes that catalyze
deacetylation of acetylated lysine residues; however, the specificity
and substrate profile of each isozyme remains largely unknown. Due
to transient enzymeâsubstrate interactions, conventional co-immunoprecipitation
methods frequently fail to identify enzyme-specific substrates. Additionally,
compensatory mechanisms often limit the ability of knockdown or chemical
inhibition studies to achieve significant fold changes observed by
acetylation proteomics methods. Furthermore, measured alterations
do not guarantee a direct link between enzyme and substrate. Here
we present a chemical crosslinking strategy that incorporates a photoreactive,
non-natural amino acid, <i>p</i>-benzoyl-l-phenylalanine,
into various positions of the structurally characterized isozyme histone
deacetylase 8 (HDAC8). After covalent capture, co-immunoprecipitation,
and mass spectrometric analysis, we identified a subset of HDAC8 substrates
from human cell lysates, which were further validated for catalytic
turnover. Overall, this chemical crosslinking approach identified
novel HDAC8-specific substrates with high catalytic efficiency, thus
presenting a general strategy for unbiased deacetylase substrate discovery
Affinity-Based Selectivity Profiling of an In-Class Selective Competitive Inhibitor of Acyl Protein Thioesterase 2
Activity-based
protein profiling (ABPP) has revolutionized the
discovery and optimization of active-site ligands across distinct
enzyme families, providing a robust platform for in-class selectivity
profiling. Nonetheless, this approach is less straightforward for
profiling reversible inhibitors and does not access proteins outside
the ABPP probeâs target profile. While the active-site competitive
acyl protein thioesterase 2 inhibitor ML349 (<i>K</i><sub>i</sub> = 120 nM) is highly selective within the serine hydrolase
enzyme family, it could still interact with other cellular targets.
Here we present a chemoproteomic workflow to enrich and profile candidate
ML349-binding proteins. In human cell lysates, biotinylated-ML349
enriches a recurring set of proteins, including metabolite kinases
and flavin-dependent oxidoreductases that are potentially enhanced
by avidity-driven multimeric interactions. Confirmatory assays by
native mass spectrometry and fluorescence polarization quickly rank-ordered
these weak off-targets, providing justification to explore ligand
interactions and stoichiometry beyond ABPP
Harnessing Redox Cross-Reactivity To Profile Distinct Cysteine Modifications
Cysteine <i>S</i>-nitrosation
and <i>S</i>-sulfination
are naturally occurring post-translational modifications (PTMs) on
proteins induced by physiological signals and redox stress. Here we
demonstrate that sulfinic acids and nitrosothiols react to form a
stable thiosulfonate bond, and leverage this reactivity using sulfinate-linked
probes to enrich and annotate hundreds of endogenous <i>S</i>-nitrosated proteins. In physiological buffers, sulfinic acids do
not react with iodoacetamide or disulfides, enabling selective alkylation
of free thiols and site-specific analysis of <i>S</i>-nitrosation.
In parallel, <i>S</i>-nitrosothiol-linked probes enable
enrichment and detection of endogenous <i>S</i>-sulfinated
proteins, confirming that a single sulfinic acid can react with a
nitrosothiol to form a thiosulfonate linkage. Using this approach,
we find that hydrogen peroxide addition increases <i>S</i>-sulfination of human DJ-1 (PARK7) at Cys106, whereas Cys46 and Cys53
are fully oxidized to sulfonic acids. Comparative gel-based analysis
of different mouse tissues reveals distinct profiles for both <i>S</i>-nitrosation and <i>S</i>-sulfination. Quantitative
proteomic analysis demonstrates that both <i>S</i>-nitrosation
and <i>S</i>-sulfination are widespread, yet exhibit enhanced
occupancy on select proteins, including thioredoxin, peroxiredoxins,
and other validated redox active proteins. Overall, we present a direct,
bidirectional method to profile select redox cysteine modifications
based on the unique nucleophilicity of sulfinic acids