24 research outputs found
Temporal Profiling Establishes a Dynamic <i>S</i>‑Palmitoylation Cycle
<i>S</i>-palmitoylation is required for membrane anchoring,
proper trafficking, and the normal function of hundreds of integral
and peripheral membrane proteins. Previous bioorthogonal pulse-chase
proteomics analyses identified Ras family GTPases, polarity proteins,
and G proteins as rapidly cycling <i>S</i>-palmitoylated
proteins sensitive to depalmitoylase inhibition, yet the breadth of
enzyme regulated dynamic <i>S</i>-palmitoylation largely
remains a mystery. Here, we present a pulsed bioorthogonal <i>S</i>-palmitoylation assay for temporal analysis of <i>S</i>-palmitoylation dynamics. Low concentration hexadecylfluorophosphonate
(HDFP) inactivates the APT and ABHD17 families of depalmitoylases,
which dramatically increases alkynyl-fatty acid labeling and stratifies <i>S</i>-palmitoylated proteins into kinetically distinct subgroups.
Most surprisingly, HDFP treatment does not affect steady-state <i>S</i>-palmitoylation levels, despite inhibiting all validated
depalmitoylating enzymes. <i>S</i>-palmitoylation profiling
of APT1<sup>–/–</sup>/APT2<sup>–/–</sup> mouse brains similarly show no change in <i>S</i>-palmitoylation
levels. In comparison with hydroxylamine-switch methods, bioorthogonal
alkynyl fatty acids are only incorporated into a small fraction of
dynamic <i>S</i>-palmitoylated proteins, raising the possibility
that <i>S</i>-palmitoylation is more stable than generally
characterized. Overall, disrupting depalmitoylase activity enhances
alkynyl fatty acid incorporation, but does not greatly affect steady
state <i>S</i>-palmitoylation across the proteome
Temporal Profiling Establishes a Dynamic <i>S</i>‑Palmitoylation Cycle
<i>S</i>-palmitoylation is required for membrane anchoring,
proper trafficking, and the normal function of hundreds of integral
and peripheral membrane proteins. Previous bioorthogonal pulse-chase
proteomics analyses identified Ras family GTPases, polarity proteins,
and G proteins as rapidly cycling <i>S</i>-palmitoylated
proteins sensitive to depalmitoylase inhibition, yet the breadth of
enzyme regulated dynamic <i>S</i>-palmitoylation largely
remains a mystery. Here, we present a pulsed bioorthogonal <i>S</i>-palmitoylation assay for temporal analysis of <i>S</i>-palmitoylation dynamics. Low concentration hexadecylfluorophosphonate
(HDFP) inactivates the APT and ABHD17 families of depalmitoylases,
which dramatically increases alkynyl-fatty acid labeling and stratifies <i>S</i>-palmitoylated proteins into kinetically distinct subgroups.
Most surprisingly, HDFP treatment does not affect steady-state <i>S</i>-palmitoylation levels, despite inhibiting all validated
depalmitoylating enzymes. <i>S</i>-palmitoylation profiling
of APT1<sup>–/–</sup>/APT2<sup>–/–</sup> mouse brains similarly show no change in <i>S</i>-palmitoylation
levels. In comparison with hydroxylamine-switch methods, bioorthogonal
alkynyl fatty acids are only incorporated into a small fraction of
dynamic <i>S</i>-palmitoylated proteins, raising the possibility
that <i>S</i>-palmitoylation is more stable than generally
characterized. Overall, disrupting depalmitoylase activity enhances
alkynyl fatty acid incorporation, but does not greatly affect steady
state <i>S</i>-palmitoylation across the proteome
Temporal Profiling Establishes a Dynamic <i>S</i>‑Palmitoylation Cycle
<i>S</i>-palmitoylation is required for membrane anchoring,
proper trafficking, and the normal function of hundreds of integral
and peripheral membrane proteins. Previous bioorthogonal pulse-chase
proteomics analyses identified Ras family GTPases, polarity proteins,
and G proteins as rapidly cycling <i>S</i>-palmitoylated
proteins sensitive to depalmitoylase inhibition, yet the breadth of
enzyme regulated dynamic <i>S</i>-palmitoylation largely
remains a mystery. Here, we present a pulsed bioorthogonal <i>S</i>-palmitoylation assay for temporal analysis of <i>S</i>-palmitoylation dynamics. Low concentration hexadecylfluorophosphonate
(HDFP) inactivates the APT and ABHD17 families of depalmitoylases,
which dramatically increases alkynyl-fatty acid labeling and stratifies <i>S</i>-palmitoylated proteins into kinetically distinct subgroups.
Most surprisingly, HDFP treatment does not affect steady-state <i>S</i>-palmitoylation levels, despite inhibiting all validated
depalmitoylating enzymes. <i>S</i>-palmitoylation profiling
of APT1<sup>–/–</sup>/APT2<sup>–/–</sup> mouse brains similarly show no change in <i>S</i>-palmitoylation
levels. In comparison with hydroxylamine-switch methods, bioorthogonal
alkynyl fatty acids are only incorporated into a small fraction of
dynamic <i>S</i>-palmitoylated proteins, raising the possibility
that <i>S</i>-palmitoylation is more stable than generally
characterized. Overall, disrupting depalmitoylase activity enhances
alkynyl fatty acid incorporation, but does not greatly affect steady
state <i>S</i>-palmitoylation across the proteome
Temporal Profiling Establishes a Dynamic <i>S</i>‑Palmitoylation Cycle
<i>S</i>-palmitoylation is required for membrane anchoring,
proper trafficking, and the normal function of hundreds of integral
and peripheral membrane proteins. Previous bioorthogonal pulse-chase
proteomics analyses identified Ras family GTPases, polarity proteins,
and G proteins as rapidly cycling <i>S</i>-palmitoylated
proteins sensitive to depalmitoylase inhibition, yet the breadth of
enzyme regulated dynamic <i>S</i>-palmitoylation largely
remains a mystery. Here, we present a pulsed bioorthogonal <i>S</i>-palmitoylation assay for temporal analysis of <i>S</i>-palmitoylation dynamics. Low concentration hexadecylfluorophosphonate
(HDFP) inactivates the APT and ABHD17 families of depalmitoylases,
which dramatically increases alkynyl-fatty acid labeling and stratifies <i>S</i>-palmitoylated proteins into kinetically distinct subgroups.
Most surprisingly, HDFP treatment does not affect steady-state <i>S</i>-palmitoylation levels, despite inhibiting all validated
depalmitoylating enzymes. <i>S</i>-palmitoylation profiling
of APT1<sup>–/–</sup>/APT2<sup>–/–</sup> mouse brains similarly show no change in <i>S</i>-palmitoylation
levels. In comparison with hydroxylamine-switch methods, bioorthogonal
alkynyl fatty acids are only incorporated into a small fraction of
dynamic <i>S</i>-palmitoylated proteins, raising the possibility
that <i>S</i>-palmitoylation is more stable than generally
characterized. Overall, disrupting depalmitoylase activity enhances
alkynyl fatty acid incorporation, but does not greatly affect steady
state <i>S</i>-palmitoylation across the proteome
Temporal Profiling Establishes a Dynamic <i>S</i>‑Palmitoylation Cycle
<i>S</i>-palmitoylation is required for membrane anchoring,
proper trafficking, and the normal function of hundreds of integral
and peripheral membrane proteins. Previous bioorthogonal pulse-chase
proteomics analyses identified Ras family GTPases, polarity proteins,
and G proteins as rapidly cycling <i>S</i>-palmitoylated
proteins sensitive to depalmitoylase inhibition, yet the breadth of
enzyme regulated dynamic <i>S</i>-palmitoylation largely
remains a mystery. Here, we present a pulsed bioorthogonal <i>S</i>-palmitoylation assay for temporal analysis of <i>S</i>-palmitoylation dynamics. Low concentration hexadecylfluorophosphonate
(HDFP) inactivates the APT and ABHD17 families of depalmitoylases,
which dramatically increases alkynyl-fatty acid labeling and stratifies <i>S</i>-palmitoylated proteins into kinetically distinct subgroups.
Most surprisingly, HDFP treatment does not affect steady-state <i>S</i>-palmitoylation levels, despite inhibiting all validated
depalmitoylating enzymes. <i>S</i>-palmitoylation profiling
of APT1<sup>–/–</sup>/APT2<sup>–/–</sup> mouse brains similarly show no change in <i>S</i>-palmitoylation
levels. In comparison with hydroxylamine-switch methods, bioorthogonal
alkynyl fatty acids are only incorporated into a small fraction of
dynamic <i>S</i>-palmitoylated proteins, raising the possibility
that <i>S</i>-palmitoylation is more stable than generally
characterized. Overall, disrupting depalmitoylase activity enhances
alkynyl fatty acid incorporation, but does not greatly affect steady
state <i>S</i>-palmitoylation across the proteome
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
Targeted Annotation of S‑Sulfonylated Peptides by Selective Infrared Multiphoton Dissociation Mass Spectrometry
Protein
S-sulfinylation (R–SO<sub>2</sub><sup>–</sup>) and S-sulfonylation
(R–SO<sub>3</sub><sup>–</sup>) are irreversible oxidative
post-translational modifications of
cysteine residues. Greater than 5% of cysteines are reported to occupy
these higher oxidation states, which effectively inactivate the corresponding
thiols and alter the electronic and physical properties of modified
proteins. Such higher oxidation states are reached after excessive
exposure to cellular oxidants, and accumulate across different disease
states. Despite widespread and functionally relevant cysteine oxidation
across the proteome, there are currently no robust methods to profile
higher order cysteine oxidation. Traditional data-dependent liquid
chromatography/tandem mass spectrometry (LC/MS/MS) methods generally
miss low-occupancy modifications in complex analyses. Here, we present
a data-independent acquisition (DIA) LC/MS-based approach, leveraging
the high IR absorbance of sulfoxides at 10.6 μm, for selective
dissociation and discovery of S-sulfonated peptides. Across peptide
standards and protein digests, we demonstrate selective infrared multiphoton
dissociation (IRMPD) of S-sulfonated peptides in the background of
unmodified peptides. This selective DIA IRMPD LC/MS-based approach
allows identification and annotation of S-sulfonated peptides across
complex mixtures while providing sufficient sequence information to
localize the modification site
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 enzyme–substrate 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 enzyme–substrate 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
Free Radical Initiated Peptide Sequencing for Direct Site Localization of Sulfation and Phosphorylation with Negative Ion Mode Mass Spectrometry
Tandem
mass spectrometry (MS/MS) is the primary method for discovering,
identifying, and localizing post-translational modifications (PTMs)
in proteins. However, conventional positive ion mode collision induced
dissociation (CID)-based MS/MS often fails to yield site-specific
information for labile and acidic modifications due to low ionization
efficiency in positive ion mode and/or preferential PTM loss. While
a number of alternative methods have been developed to address this
issue, most require specialized instrumentation or indirect detection.
In this work, we present an amine-reactive TEMPO-based free radical
initiated peptide sequencing (FRIPS) approach for negative ion mode
analysis of phosphorylated and sulfated peptides. FRIPS-based fragmentation
generates sequence informative ions for both phosphorylated and sulfated
peptides with no significant PTM loss. Furthermore, FRIPS is compared
to positive ion mode CID, electron transfer dissociation (ETD), as
well as negative ion mode electron capture dissociation (niECD) and
CID, both in terms of sequence coverage and fragmentation efficiency
for phospho- and sulfo-peptides. Because FRIPS-based fragmentation
has no particular instrumentation requirements and shows limited PTM
loss, we propose this approach as a promising alternative to current
techniques for analysis of labile and acidic PTMs