Journal of the American Chemical Society
Communication
for the study of nucleotide-protein interactions. And a
comparison of lysate labeling by 1 and 2 showed that both
probes have very similar profiles (Figure S1). Thus, the
synthesis of the higher yielding probe, 1, was scaled up for use
in mass spectrometry based proteomic studies.
To determine the protein targets of 1, MudPIT5 experiments
were carried out with HEK 293T cells. Briefly, cell lysates were
fractionated into soluble and insoluble fractions, and
endogenous nucleotides were removed by desalting. Proteomes
were labeled with 30 μM 1 in the presence of 60 mM MgCl2,
then irradiated with 365 nm light, followed by addition of a
biotin tag via click chemistry. To exclude nonspecific targets of
1, two control samples were generated in each sample set: (1)
excess GTP was added to compete away specific GTP-BP-yne−
protein interactions and (2) BP-yne (3, Figure 1) was added
instead of 1 to identify any targets that were labeled due to
interaction with the non-nucleotide portion of the probe or due
merely to high abundance of the target. The labeled proteomes
were reduced, alkylated, enriched for labeled targets using
streptavidin beads, and trypsinized.16 The tryptic peptides were
analyzed by MudPIT and protein targets were identified using
ProLuCID17 and quantified by spectral counting.18 True target
proteins were identified as those that met threshold criteria in
each of three replicate data sets. First, targets with fewer than 3
spectral counts were eliminated. Next, the spectral counts of all
targets in each sample were normalized based on the total
number of spectral counts of each sample. The normalized
spectral counts were used to calculate spectral count ratios of
samples labeled with GTP-BP-yne to the control samples, and
only targets with ratios of 2 or greater were considered to be
true hits. Ratios from all three data sets were then averaged.
Thirty-three proteins met the above criteria in all three data
sets (Tables 1, S1), and 77 proteins met the criteria in two out
Figure 2. Dendrogram of the GTP-binding protein targets of GTP-
BP-yne (1).
Table 1. Top Five Targets of GTP-BP-yne (1)
To confirm that 1 specifically binds target proteins’ GTP
binding sites, we transiently transfected five targets identified by
mass spectrometry in HEK 293T cells and labeled the resulting
lysates with 1. Azide-Rhodamine was conjugated to the GTP-
BP-yne−protein complexes via click chemistry, and the samples
were separated by SDS-PAGE and visualized with a
fluorescence scanner. This method allowed direct visualization
of the labeled targets in the presence and absence of excess
nucleotide competitors and immediate qualitative comparison
of the targets’ relative affinities for GTP and ATP. Atlastin-3
(ATL3, Table 1) and Mitochondrial Rho GTPase 2 (RHOT2,
Table S1), two GTPase targets identified in the insoluble
fraction, were confirmed using this method (Figure 3A).
Binding of 1 to both GTPases was competed by excess GTP
but not noticeably changed in the presence of excess ATP, as
expected. Casein kinase II alpha′ (CSNK2A2, Table 1) utilizes
both GTP and ATP as phosphate donors,19 and labeling by 1
was eliminated by excess GTP and ATP (Figure 3C).
While 1 labeled many known GTP-binding proteins as
expected, several hits bind ATP, nucleic acids, or other proteins
that bind purine nucleotides but are not known to bind GTP.
This target profile is similar to the profile of the ATP acyl
phosphate probe made by Patricelli et al. that labels targets via
nucleophilic attack by an active site lysine.4 Most of the ATP
probe targets are ATP-binding proteins, and other targets
include proteins that bind nucleic acids, NAD, and FAD. Only
1.5% of the ATP probe targets bind GTP, in contrast with the
26% of the GTP-BP-yne targets that bind ATP, but the stricter
average spectral
counts
NT
protein
1 vs 1 + GTP 1 vs 3
ligand(s)
BCS1L
GNL3
207.08
72.95
45.33
43.95
40.71
14.35
5.45
33.51
7.98
ATP
GTP
CSNK2A2
ATL3
27.95
Undef
3.18
3.06
ATP, GTP
GTP
a
23.72
3.40
OPA1
GTP
a
Undef = Undefined. The spectral counts for the control sample was
equal to zero in all three replicates.
of three data sets (Table S2), including many known GTP-
binding proteins. Thus, 1 works as designed to bind, label, and
enrich GTP-binding proteins in mass spectrometry based
proteomics. Interestingly, the GTP-binding hit proteins are
members of diverse GTP-binding protein classes (Figure 2),
including small Ras-related GTPases (e.g., Rab10), hetero-
trimeric G alpha (e.g., Gai2), unusual GPN-loop GTPases (e.g.,
GPN1), translation elongation factors (e.g., EEF1A1), and
some proteins of unknown function that have been annotated
as GTP-binding based on their sequence (e.g., GTPBP6 of the
MMR1/HSR1 family), thus demonstrating the utility of 1 for
studying a variety of GTP−protein interactions.
Furthermore, the target proteins described here were
identified using one set of conditions and thereby represent a
minimalist set of possible hits. It is possible that varying
parameters, such as divalent cation concentration, could result
in even greater coverage of the GTP-binding proteome.
B
dx.doi.org/10.1021/ja400839e | J. Am. Chem. Soc. XXXX, XXX, XXX−XXX