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@MISC{Gloeckner:272967,
author = {Gloeckner, Christian Johannes},
title = {{D}ataset: {S}upplemental data for '{I}ntramolecular
feedback regulation of the {LRRK}2 {R}oc {G} domain by a
{LRRK}2 kinase dependent mechanism' ({G}ilsbach et al.,
e{L}ife 2024, doi:10.7554/e{L}ife.91083), v2},
publisher = {Zenodo},
reportid = {DZNE-2024-01346},
year = {2024},
abstract = {Supportive data for the eLife version of record. (1) Data
used for the Michaelis Menten Kinetics. HPLC-based assay.
Steady-state kinetic measurements of LRRK2-mediated GTP
hydrolysis were performed as previously described (Ahmadian
et al., 1997). Briefly, 0.1 µM of full-length LRRK2 was
incubated with different amounts of GTP (0, 25, 75, 150,
250, 500, 1000, 2000, 3000 and 5000 µM) and production of
GDP was monitored by reversed phase C18 HPLC. To this end,
the samples (10 µl) were directly injected on a
reversed-phase C18 column (pre-column: Hypersil Gold, 3µm
particle size, 4.6x10mm; main column: Hypersil Gold, 5µm
particle size, 4.6x250mm, Thermo Scientific) using an
Ultimate 3000 HPLC system (Thermo Scientific, Waltham, MA,
USA) in HPLC-buffer containing 50 mM KH2PO4/K2HPO4 pH 6.0,
10 mM tetrabutylammonium bromide and $10-15\%$ acetonitrile.
Subsequently, samples were analyzed using the HPLC
integrator (Chromeleon 7.2, Thermo Scientific, Waltham, MA,
USA). Initial rates of GDP production were plotted against
the GTP concentration using GraFit5 (v.5.0.13, Erithacus
Software). The number of experiments is indicated in the
graph and data point is the average (±s.e.m.) of indicated
repetitions. The Michaelis-Menten equation was fitted to
determine KM (±s.e.) and kcat (±s.e.). Excel sheets used
for the calculation of means are provided. No values are
reported if the HPLC separation failed (e.g. unstable
baseline). Charcoal GTP hydrolysis assay. The [γ-32P]GTP
charcoal assay was performed as previously described (Bollag
and McCormick, 1995). Briefly, 0.1 µM full-length LRRK2 or
0.5 µM 6xHIS-MBP-RocCOR was incubated with different GTP
concentrations, ranging from 75 µM to 8 mM, in the presence
of [γ-32P] GTP in GTPase assay buffer (30 mM Tris pH 8, 150
mM NaCl, 10 mM MgCl2, $5\%$ (v/v) Glycerol and 3 mM DTT).
Samples were taken at different time-points and immediately
quenched with $5\%$ activated charcoal in 20 mM phosphoric
acid. All non-hydrolyzed GTP and proteins were stripped by
the activated charcoal and sedimented by centrifugation. The
radioactivity of the isolated inorganic phosphates was then
measured by scintillation counting. The initial rates of
γ-phosphate release and the Michaelis-Menten kinetics were
calculated as described above. (2) Profile plots (Raw data)
obtained for the Mass photometry analysis for T1343A vs WT
LRRK2. MP was performed as described in (Guaitoli et al.,
2023). Briefly, the dimer ratio of LRRK2 was determined on a
Refeyn Two MP instrument (Refeyn). Prior to the experiment,
a standard curve relating particle contrasts to molecular
weight was established using a Native molecular weight
standard (Invitrogen, 1:200 dilution in HEPES-based elution
buffer: 50 mM HEPES [pH 8.0], 150 mM NaCl supplemented with
200 µM desthiobiotin). Prior to mass photometry, the
proteins, either WT or T1343A LRRK2, were incubated with ATP
to induce autophophorylation. The LRRK2 protein was diluted
to 2x of the final concentration (end concentrations: 75 nM
and 100 nM) in elution buffer. The optical setup was focused
in 10 μl elution buffer before adding 10 µl of the
adjusted protein sample. Depending on the obtained count
numbers, acquisition times were chosen between 20 s to 1
min. The dimer ratio in each measurement was normalize
according to the equation. The measurement was perfomed in
triplicates. (3) AlphaFold3 model of LRRK2-pT1343 either
bound to GDP/Mg or GTP/Mg. Using AlphaFold3 (Abramson et
al., 2024), we modeled and compared the GDP vs the GTP-state
of phospho-T1343 LRRK2. Interestingly, the AlphaFold3 model
suggests, that the phosphate group of the pT1343 residue is
orientated inwards thereby substituting the gamma phosphate
of the GTP in the GDP-bound state of LRRK2. This finding is
in well agreement with MD simulations published recently
(Stormer et al., 2023).},
keywords = {structural modeling (Other) / LRRK2 (Other)},
cin = {AG Gloeckner},
cid = {I:(DE-2719)1210007},
pnm = {352 - Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-352},
typ = {PUB:(DE-HGF)32},
doi = {10.5281/zenodo.13837193},
url = {https://pub.dzne.de/record/272967},
}