44 research outputs found
Large-Scale Identification of Phosphorylation Sites for Profiling Protein Kinase Selectivity
Protein kinase selectivity
is largely governed by direct binding
to the target site(s) on the substrate. Thus, substrate determinants
identified from sequences around phosphorylation sites are desirable
resources for matching kinases to their substrates. In this study,
we tried to identify kinase-selective substrate determinants, including
motif sequences, based on large-scale discovery of kinase/substrate
pairs. For this purpose, we employed a combination strategy of <i>in vitro</i> kinase reaction followed by LC–MS/MS analysis
and applied it to three well-studied kinases: c-AMP regulated protein
kinase A (PKA), extracellular signal-regulated kinase 1 (ERK1), and
RAC-alpha serine/threonine-protein kinase (AKT1). Cellular proteins
were fractionated, dephosphorylated with thermosensitive alkaline
phosphatase, phosphorylated with the target kinase, and digested with
Lys-C/trypsin, and then phosphopeptides were enriched using TiO<sub>2</sub>-based hydroxy acid-modified metal oxide chromatography (HAMMOC)
and subjected to LC–MS/MS. As a result, 3585, 4347, and 1778 <i>in vitro</i> phosphorylation sites were identified for PKA,
ERK1, and AKT1, respectively. As expected, these extensive identifications
of phosphorylation sites enabled extraction of both known and novel
motif sequences, and this in turn permitted fine discrimination of
the specificities of PKA and AKT1, which both belong to the AGC kinase
family. Other unique features of the kinases were also characterized,
including phospho-acceptor preference (Ser or Thr) and bias ratio
of singly/multiply phosphorylated peptides. More motifs were found
with this methodology as compared with target kinase phosphorylation
of peptides obtained by predigestion of proteins with Lys-C/trypsin.
Thus, this approach to characterization of kinase substrate determinants
is effective for identification of kinases associated with particular
phosphorylation sites
Extended Coverage of Singly and Multiply Phosphorylated Peptides from a Single Titanium Dioxide Microcolumn
We developed a novel approach to
enlarge phosphoproteome coverage
by selective elution depending on the number of phosphoryl group of
peptides from a single titanium dioxide (TiO<sub>2</sub>) microcolumn
using hydrophilic interaction chromatography (HILIC). In this approach,
acidic methylphosphonate buffer including organic solvent is used
for selective elution of singly phosphorylated peptides from an aliphatic
hydroxy acid-modified metal oxide chromatography (HAMMOC) microcolumn
and basic elution conditions with phosphate, ammonium hydroxide, and
pyrrolidine are then employed for eluting multiply phosphorylated
peptides retained by the HAMMOC microcolumn. Finally, we successfully
identified 11 300 nonredundant phosphopeptides from triplicate
analyses of 100 μg of HeLa cell lysates using this approach.
This simple strategy made it possible to accomplish comprehensive
and efficient phosphoproteome analysis from limited sample amounts
loaded onto a single HAMMOC microcolumn without additional fractionation
or enrichment approaches
Extended Coverage of Singly and Multiply Phosphorylated Peptides from a Single Titanium Dioxide Microcolumn
We developed a novel approach to
enlarge phosphoproteome coverage
by selective elution depending on the number of phosphoryl group of
peptides from a single titanium dioxide (TiO<sub>2</sub>) microcolumn
using hydrophilic interaction chromatography (HILIC). In this approach,
acidic methylphosphonate buffer including organic solvent is used
for selective elution of singly phosphorylated peptides from an aliphatic
hydroxy acid-modified metal oxide chromatography (HAMMOC) microcolumn
and basic elution conditions with phosphate, ammonium hydroxide, and
pyrrolidine are then employed for eluting multiply phosphorylated
peptides retained by the HAMMOC microcolumn. Finally, we successfully
identified 11 300 nonredundant phosphopeptides from triplicate
analyses of 100 μg of HeLa cell lysates using this approach.
This simple strategy made it possible to accomplish comprehensive
and efficient phosphoproteome analysis from limited sample amounts
loaded onto a single HAMMOC microcolumn without additional fractionation
or enrichment approaches
Identification of Mitosis-Specific Phosphorylation in Mitotic Chromosome-Associated Proteins
During
mitosis, phosphorylation of chromosome-associated proteins
is a key regulatory mechanism. Mass spectrometry has been successfully
applied to determine the complete protein composition of mitotic chromosomes,
but not to identify post-translational modifications. Here, we quantitatively
compared the phosphoproteome of isolated mitotic chromosomes with
that of chromosomes in nonsynchronized cells. We identified 4274 total
phosphorylation sites and 350 mitosis-specific phosphorylation sites
in mitotic chromosome-associated proteins. Significant mitosis-specific
phosphorylation in centromere/kinetochore proteins was detected, although
the chromosomal association of these proteins did not change throughout
the cell cycle. This mitosis-specific phosphorylation might play a
key role in regulation of mitosis. Further analysis revealed strong
dependency of phosphorylation dynamics on kinase consensus patterns,
thus linking the identified phosphorylation sites to known key mitotic
kinases. Remarkably, chromosomal axial proteins such as non-SMC subunits
of condensin, TopoIIα, and Kif4A, together with the chromosomal
periphery protein Ki67 involved in the
establishment of the mitotic chromosomal structure, demonstrated high
phosphorylation during mitosis. These findings suggest a novel mechanism
for regulation of chromosome restructuring in mitosis via protein
phosphorylation. Our study generated a large quantitative database
on protein phosphorylation in mitotic and nonmitotic chromosomes,
thus providing insights into the dynamics of chromatin protein phosphorylation
at mitosis onset
Acetic Acid Ion Pairing Additive for Reversed-Phase HPLC Improves Detection Sensitivity in Bottom-up Proteomics Compared to Formic Acid
Despite the general acceptance of formic acid as the
additive of
choice for peptide reversed-phase LC-MS/MS applications, some still
argue that the selection of acetic acid represents a better option.
To settle this debate, we investigated both the difference in MS sensitivity
and chromatographic behavior of peptides between these two systems.
This interlaboratory study was performed using different MS setups
and C18 separation media employing both 0.1% formic and 0.5% acetic
acid as ion pairing modifiers. Relative to formic acid, we find an
overall ∼2.2–2.5× increase in MS signal and a slight
decrease in RP LC retention (−0.7% acetonitrile on average)
for acetic acid conditions. While these two features have opposing
effects on peptide detectability, we find that acetic acid produces
up to 60% higher peptide ID output depending on the type of sample.
The drop in RPLC retention increases with peptide net charge at acidic
pH. MS signal is dependent on the difference between the charge of
the precursor ion and the charge of the peptide in solution, favoring
species with a low pI. Lower peptide retention under acetic acid conditions
demonstrates its higher hydrophilicity and, as expected, leads to
composition and sequence-dependent character of the observed retention
shift
FliC phosphorylation affects type 2 secretome levels in static biofilms.
<p>(A) Type 2 secretome analysis for static biofilms of PAO1 WT, Δ<i>fliC</i>, Δ<i>fliC</i>-FL T27A, Δ<i>fliC</i>-FL and Δ<i>fliC</i>-FL S28A strains grown in 6-well plate for 24 h. Experiment was conducted with three biological replicates and two technical replicates each. (B) Quantification of proteases from (A) by Image J 1.43 software (<a href="http://rsbweb.nih.gov/ij/" target="_blank">http://rsbweb.nih.gov/ij/</a>) showing increase in representative T2SS proteases of Δ<i>fliC</i>—FL T27A and Δ<i>fliC</i>—FL S28A. All differences are significant with student’s t-test p-values < 0.05.</p
Influence of FliC phosphorylation on dynamic biofilms formed under flow cell conditions.
<p>Comparison of biofilm architecture in confocal-ortho view for PAO1 WT, Δ<i>fliC</i>, Δ<i>fliC</i>-FL T27A, Δ<i>fliC</i>-FL and Δ<i>fliC</i>-FL S28A strains across 7 days. Live and dead cells are represented in green and red, respectively. Panels are represented as a-WT, b-Δ<i>fliC</i>, c-Δ<i>fliC</i>- FL T27A, d-Δ<i>fliC</i>-FL and e-Δ<i>fliC</i>-FL S28A, respectively. Magnification is under 40X oil lens. Scale bars indicate a distance of 50 μm.</p
FliC phosphomutants have delayed dispersal.
<p>Total biovolumes of PAO1 WT, Δ<i>fliC</i>, Δ<i>fliC</i>-FL T27A, Δ<i>fliC</i>-FL and Δ<i>fliC</i>-FL S28A strains measured over a 7 day flow cell experiment. Reduction in biovolume from day 4 to day 5 in WT and Δ<i>fliC</i>- FL and from day 6 to day 7 in Δ<i>fliC</i>- FL T27A and Δ<i>fliC</i>- FL S28A is observed. Error bars represent mean ± SD for three biological replicates.</p
FliC phosphorylation affects T2SS secretion efficiency.
<p>(A) Immunoblot of extracellular LasB (top panel), intracellular LasB (middle panel) and intracellular RNA polymerase (RNA Pol) α-subunit (bottom panel) at 13 h for PAO1 WT, Δ<i>fliC</i>, Δ<i>fliC</i>-FL T27A, Δ<i>fliC</i>-FL and Δ<i>fliC</i>-FL S28A strains. Proteins were loaded based on equal number of cells as shown by RNA Pol α-subunit levels (bottom panel). (B) Quantification of extracellular LasB levels at 13 h in Δ<i>fliC</i>-FL T27A vs. Δ<i>fliC</i>-FL and Δ<i>fliC</i>-FL S28A vs. Δ<i>fliC</i>–FL. Error bars represent mean ±SD calculated from five biological replicates. Student’s t-test p-values < 0.05 for Δ<i>fliC</i>-FL T27A vs. Δ<i>fliC</i>–FL and Δ<i>fliC</i>-FL S28A vs. Δ<i>fliC</i>-FL. (C) Immunoblot of membrane proteins XcpY, XcpP, XcpQ in PAO1 WT, Δ<i>fliC</i>, Δ<i>fliC</i>-FL T27A, Δ<i>fliC</i>-FL and Δ<i>fliC</i>-FL S28A strains at 13 h. The proteins were loaded from equal number of bacterial cells as shown by immunoblotting of RNA Pol α-subunit levels.</p
Bacterial strains and plasmids used in this study.
<p>Bacterial strains and plasmids used in this study.</p