Maria Babu1, Filippo Favretto1, Marija Rankovic2, Markus Zweckstetter1,2. 1. Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Von-Siebold Straße 3a, Göttingen, 37075, Germany. 2. Max Planck Institute for Multidisciplinary Sciences, Am Fassberg 11, Göttingen, 37077, Germany.
Abstract
Liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) and the action of molecular chaperones are tightly connected. An important class of molecular chaperones are peptidyl prolyl isomerases, which enhance the cis/trans-isomerization of proline. However, little is known about the impact of peptidyl prolyl isomerases on the LLPS of IDPs, which often contain many prolines. Here, we demonstrate that the most ubiquitous peptidyl prolyl isomerase, peptidyl prolyl isomerase A (PPIA), concentrates inside liquid-like droplets formed by the Alzheimer's disease-associated protein tau, as well as inside RNA-induced coacervates of a proline-arginine dipeptide repeat protein. We further show that the recruitment of PPIA into the IDP droplets triggers their dissolution and return to a single mixed phase. NMR-based binding and proline isomerization studies provide insights into the mechanism of LLPS modulation. Together, the results establish a regulatory role of proline isomerases on the liquid-liquid phase separation of proline-rich IDPs.
Liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) and the action of molecular chaperones are tightly connected. An important class of molecular chaperones are peptidyl prolyl isomerases, which enhance the cis/trans-isomerization of proline. However, little is known about the impact of peptidyl prolyl isomerases on the LLPS of IDPs, which often contain many prolines. Here, we demonstrate that the most ubiquitous peptidyl prolyl isomerase, peptidyl prolyl isomerase A (PPIA), concentrates inside liquid-like droplets formed by the Alzheimer's disease-associated protein tau, as well as inside RNA-induced coacervates of a proline-arginine dipeptide repeat protein. We further show that the recruitment of PPIA into the IDP droplets triggers their dissolution and return to a single mixed phase. NMR-based binding and proline isomerization studies provide insights into the mechanism of LLPS modulation. Together, the results establish a regulatory role of proline isomerases on the liquid-liquid phase separation of proline-rich IDPs.
Liquid–liquid phase separation
(LLPS) of intrinsically disordered
proteins/regions (IDPs/IDRs) facilitates the formation of membrane-less
organelles,[1] and aberrant liquid to solid
phase transitions are linked to neurotoxicity.[2] Growing evidence supports an important role of molecular chaperones
in regulating LLPS and LLPS-associated biomolecular condensation of
IDPs. For example, nuclear-import receptor chaperones can inhibit
phase separation of RNA-binding proteins.[3,4] In
addition, the heat shock chaperones HSP70 and HSP27 maintain the liquidity
of condensates formed by the amyotrophic lateral sclerosis (ALS)/frontotemporal
dementia (FTD)-associated proteins TDP43 and FUS, while a protein
disulfide isomerase was shown to repress LLPS and modulate the aggregation
of the Alzheimer’s disease-associated protein tau.[5−7] Molecular chaperones thus might protect proteins from misfolding
and pathogenic aggregation inside cellular condensates.Peptidyl
prolyl isomerases are cotranslational chaperones that
assist in the folding of nascent amino acid chains.[8−10] Their chaperoning
activity in protein folding is associated with the cis/trans-interconversion
of prolines, the only amino acid that can exist in both conformations.[8,11,12] Apart from their function in
protein folding, prolyl isomerases, through the combination of their
binding and isomerase activity, are associated with higher order assembly
formation of IDPs, particularly the disease-associated misfolding
of IDPs into amyloid fibrils: prolyl isomerases such as FK506-binding
proteins, cyclophilin A, and cyclophilin D modulate the amyloid fibril
formation of proline-rich IDPs associated with neurodegeneration including
tau and α-synuclein.[13−17] In contrast to the regulatory activity of prolyl isomerases on the
fibril formation of IDPs, their regulatory role on the LLPS behavior
of IDPs is unknown.LLPS is a metastable protein assembly often
mediated by IDPs.[18] Prolines are about
1.7–1.8 times more
abundant in IDPs when compared to structured proteins.[19] Thus, the effect of prolyl isomerases, with
their unique action on proline residues, is intriguing in the context
of LLPS. The peptidyl prolyl isomerase A (PPIA) is the most abundant
prolyl isomerase in cells.[20] Consistent
with an important role of prolyl isomerases in LLPS regulation, a
recent study found that the interactome of PPIA is enriched in proline-rich
IDR-containing DNA/RNA binding proteins involved in biomolecular condensation.[10] In addition, PPIA localizes within stress granules,[21] a biomolecular condensate formed by DNA/RNA
binding proteins in cellular stress conditions or disease-associated
conditions.[22,23] The expression of PPIA is also
known to vary during cellular stress.[24,25] These observations
suggest a broad biological significance of the prolyl isomerase PPIA
in the regulation of biomolecular condensation.Here, we provide
molecular insights into the enigmatic role of
PPIA in regulating the LLPS behavior of proline-rich IDPs. In order
to provide insight into the influence of PPIA on both self-coacervation
and complex coacervation, we studied the Alzheimer’s disease-associated
protein tau, which can undergo LLPS without nucleic acids,[26,27] as well as the 40-residue proline–arginine dipeptide repeat
protein PR20, which most efficiently phase separates with RNA.[28,29] The transition of tau from liquid condensates to a solid phase is
associated with tau aggregation into insoluble deposits.[30] PR dipeptide repeat proteins are abnormally
expressed in the brain of patients with C9-ALS/FTD.[31] The toxicity of PR dipeptide repeat proteins in C9-ALS/FTD
is linked to their incorporation into membrane-less compartments,
thus changing their properties.[28,32] Previous studies demonstrated
that the dipeptide repeat protein PR20 interacts with PPIA in vitro and in cells.[32,33]
Results
To gain single-residue resolution insight into
the interaction
of PPIA with the dipeptide repeat protein PR20, we used NMR spectroscopy.
In agreement with previous results,[33] PR20
induced strong signal broadening of selected PPIA residues. The cross
peak of Arg55, the PPIA residue that is crucial for its catalytic
activity,[34] was broadened beyond detection
(Figure S1a). In addition, several other
residues in the active site of PPIA were perturbed (Figures a, S1a). In the crystal structure of the PPIA/PR20 complex, Arg55 forms
a hydrogen bond with the carbonyl group of a proline–arginine
peptide of PR20.[33] The binding affinity
of this interaction, as determined from the intensity perturbations
of Arg55 and Asn102, is 23 μM (Figure S1c). Next, we repeated the experiments with the mutant protein PPIA(R55A),
in which Arg55 is mutated to alanine.[35] This mutation was previously shown to attenuate its binding to substrates
and to decrease its cis/trans-isomerization activity. In contrast
to wild-type PPIA, only little signal broadening was observed in the 1H–15N correlation spectrum of PPIA(R55A)
upon addition of PR20 (Figures a, S1b). Only a few residues in
the active site experienced residual chemical shift perturbations,
in particular Asn102 (Figure S1b), which
is in contact with an arginine side chain of PR20 in the PPIA/PR20
complex.[33] Comparison of the intensity
perturbations of Arg55 and its mutant Ala55 at increasing PR20 concentrations
highlights the difference in affinity of PR20 to wild-type PPIA and
the mutant PPIA(R55A) (Figure S1c).
Figure 1
PPIA interferes
with RNA-induced LLPS of PR20. (a) Single-residue
analysis of the interaction of PR20 with wild-type and mutant PPIA.
Changes in the intensities of 1H–15N
HSQC peaks of PPIA (orange) and PPIA(R55A) (green) upon addition of
a 4-fold excess of PR20. I and I0 are the intensities of the PPIA HSQC peaks in the presence
and absence of PR20, respectively. Light gray bars represent residues
that are excluded from the analysis. (b) LLPS of PR20 into PR20/tRNA
droplets. Droplets were visualized by addition of Alexa488-labeled
PR20 (green) and Syto 17 RNA dye (red). Images were obtained after
15 min of incubation. Scale bar, 20 μm. (c) Concentration of
PPIA inside PR20/tRNA droplets. Recruitment ratios calculated on the
basis of ∼30 droplets for each PR20:PPIA (black) and PR20:PPIA(R55A)
(gray) molar ratio. In the box and whisker plot, the middle line is
the median, ends of boxes represent the upper and lower quartiles,
while whiskers extend until the highest and lowest observations. The
difference within a PR20:PPIA ratio was analyzed by an unpaired t test: **p < 0.0017, ****p < 0.0001. For p < 0.05, the two data sets
are considered to be significantly different. (d) PPIA-induced dissolution
of PR20/tRNA droplets. Fluorescence images of Alexa488-labeled PR20/tRNA
droplets with PPIA (left) and PPIA(R55A) (right) at a PR20:PPIA (or
PPIA(R55A)) molar ratio of 1:3. Images were obtained after 15 min
of incubation. Scale bar, 20 μm. (e) Granular areas occupied
by PR20/tRNA droplets 15 min after addition of wild-type PPIA (orange)
or mutant PPIA(R55A) (green) for PR20:PPIA (or PPIA(R55A) ratios of
1:0.5, 1:1, 1:3, and 1:5. Granular areas in a control sample without
PPIA are displayed in black. Granular area is taken as the average
of area occupied by droplets in four micrographs. Error bars represent
standard deviation from average.
PPIA interferes
with RNA-induced LLPS of PR20. (a) Single-residue
analysis of the interaction of PR20 with wild-type and mutant PPIA.
Changes in the intensities of 1H–15N
HSQC peaks of PPIA (orange) and PPIA(R55A) (green) upon addition of
a 4-fold excess of PR20. I and I0 are the intensities of the PPIA HSQC peaks in the presence
and absence of PR20, respectively. Light gray bars represent residues
that are excluded from the analysis. (b) LLPS of PR20 into PR20/tRNA
droplets. Droplets were visualized by addition of Alexa488-labeled
PR20 (green) and Syto 17 RNA dye (red). Images were obtained after
15 min of incubation. Scale bar, 20 μm. (c) Concentration of
PPIA inside PR20/tRNA droplets. Recruitment ratios calculated on the
basis of ∼30 droplets for each PR20:PPIA (black) and PR20:PPIA(R55A)
(gray) molar ratio. In the box and whisker plot, the middle line is
the median, ends of boxes represent the upper and lower quartiles,
while whiskers extend until the highest and lowest observations. The
difference within a PR20:PPIA ratio was analyzed by an unpaired t test: **p < 0.0017, ****p < 0.0001. For p < 0.05, the two data sets
are considered to be significantly different. (d) PPIA-induced dissolution
of PR20/tRNA droplets. Fluorescence images of Alexa488-labeled PR20/tRNA
droplets with PPIA (left) and PPIA(R55A) (right) at a PR20:PPIA (or
PPIA(R55A)) molar ratio of 1:3. Images were obtained after 15 min
of incubation. Scale bar, 20 μm. (e) Granular areas occupied
by PR20/tRNA droplets 15 min after addition of wild-type PPIA (orange)
or mutant PPIA(R55A) (green) for PR20:PPIA (or PPIA(R55A) ratios of
1:0.5, 1:1, 1:3, and 1:5. Granular areas in a control sample without
PPIA are displayed in black. Granular area is taken as the average
of area occupied by droplets in four micrographs. Error bars represent
standard deviation from average.Next, we investigated the effect of PPIA on the
complex coacervation
of PR20 with RNA. Previous studies showed that PR20 efficiently forms
liquid-like droplets upon addition of tRNA.[28,29] Consistent with these studies, we observed LLPS of 100 μM
PR20 when mixing it with 0.2 mg/mL tRNA (Figures b, S2a). Using
fluorescence microscopy, PR20/tRNA droplets were observable for ∼1–1.5
h after mixing the two components (Figure S2d). A similar time-dependent instability of peptide–RNA coacervates
was previously reported.[36] The effect of
PPIA on PR20/tRNA droplets was therefore studied during this time
window.We then quantified the degree of PPIA recruitment into
PR20/tRNA
droplets. This was achieved by calculating the ratio of fluorescence
intensity of PPIA inside and outside of similar-sized droplets. For
different PR20:PPIA molar ratios (1:0.05, 1:0.2, 1:0.4, i.e., a large
excess of PR20 over PPIA), PPIA concentrated inside the PR20/tRNA
droplets (Figures c, S2b). We also repeated the experiments
with the mutant PPIA(R55A). Fluorescence microscopy showed that PPIA(R55A)
concentrates inside of PR20/tRNA droplets. Its recruitment was slightly
attenuated when compared to wild-type PPIA (Figure c), likely due to the lower affinity to PR20
(Figure S1c).We then investigated
the effect of higher concentrations of PPIA
and PPIA(R55A) on PR20/tRNA droplets. PPIA (PPIA(R55A)) was added
to the droplets at PR20:PPIA molar ratios of 1:0.5, 1:1, 1:3, and
1:5 (Figures d,e, S2c,d). The mutant PPIA did not dissolve the
PR20/tRNA droplets at the tested concentrations (Figures d,e, S2c,d). At 5-fold excess of PPIA(R55A) over PR20, the amount of droplets
was slightly decreased (Figure e), potentially due to residual binding (Figure S1b). In contrast, we observed immediate complete dissolution
of the PR20/tRNA droplets upon addition of a 3- or 5-fold molar excess
of wild-type PPIA. At equimolar concentrations of wild-type PPIA and
PR20, PR20-LLPS was partially diminished (Figures d,e, S2d). We
attribute the finding that at equimolar concentration the droplets
are not fully dissolved to a combination of factors, including the
incomplete recruitment of PPIA to the droplets (Figure c) and the competition between PPIA and RNA
for binding to PR20.Next, we probed the effect of PPIA on the
dynamics of PR20 inside
the PR20/tRNA droplets. PPIA (or PPIA(R55A)) was added to PR20/tRNA
droplets at a substoichiometric PR20:PPIA (1:0.4) molar ratio. We
photobleached fluorescently labeled PR20 inside the droplets and recorded
the recovery rate (Figure S3a). The rate
of fluorescence recovery was similar in the presence of either PPIA
or PPIA(R55A) (Figure S3b). In addition,
the recovery rate was comparable to that in a reference sample where
neither variant was present. This showed that PPIA did not affect
the dynamics inside PR20/tRNA droplets at this low PPIA concentration.To investigate the ability of PPIA to catalyze the cis/trans-isomerization
of the proline residues of PR20, we utilized NOESY and ROESY NMR spectroscopy.
NOESY and ROESY experiments are powerful methods to probe two-state
exchange processes within the range of the NOE/ROE mixing time (10–3 s) including proline isomerization.[37] In the two-dimensional NOESY spectrum of PR20 in the dilute
state in the absence of RNA, all prolines and all the arginine residues
have overlapping chemical shifts because of the repeat nature of the
peptide. The NOESY spectrum of PR20 recorded in the presence of PPIA,
when compared to the same for PR20 alone, displayed an additional
exchange cross peak between the cis and trans isoforms of Hδ of proline (Figure a). This exchange peak suggests that the cis/trans-exchange of arginine–proline
peptide bonds in PR20 shifted in the presence of PPIA to a faster
time scale, which is detectable within the NOESY observation time.
To verify that the additional cross peak is an exchange peak, a ROESY
spectrum was recorded. In the ROESY spectrum, the same sign of the
additional peak with respect to the diagonal peak confirmed an exchange
process as the source of this cross peak (Figure a).
Figure 2
Isomerase activity of PPIA on the dipeptide
repeat protein PR20
in the dilute state in the absence of RNA. (a) NOESY spectrum of PR20
alone (left) and in the presence of PPIA (middle; PPIA:PR20 molar
ratio of 1:8) in the region of Hδ of prolines. The
exchange peak between the cis and trans isoforms of Hδ proline is marked by a rectangle. For comparison, the ROESY spectrum
of the same PPIA/PR20 sample is shown on the right. The mixing time
for the NOESY experiments is 300 ms; for the ROESY it is 220 ms. (b)
Ratios between the intensity of the cis/trans-exchange peak of proline
Hδ, I(ex), and the intensity of
its trans diagonal peak, I(trans), as a function
of mixing time of the NOESY experiment for PPIA:PR20 molar ratios
of 1:30 (red, square), 1:8 (green, circle),1:4 (blue, triangle), and
1:1.5 (magenta, inverted triangle) and for a PPIA(R55A):PR20 ratio
of 1:8 (yellow, circle). Lines represent least-squares fittings of
the data to obtain the exchange rate kex. Error bars represent the error in Iex/Itrans calculated from the noise in
the NMR spectra. The graphs on the left and right represent the same
analysis, but the Iex value in the two
cases is taken from the two exchange peaks on either side of the diagonal,
which are marked by rectangular boxes in panel a (middle). (c) Rates
of cis/trans-interconversion, kex, in
PR20 for different PPIA:PR20 ratios derived from fitting the Iex/Itrans value
corresponding to various mixing times against eq 7. Error bars represent
standard deviations from the average kex value.
Isomerase activity of PPIA on the dipeptide
repeat protein PR20
in the dilute state in the absence of RNA. (a) NOESY spectrum of PR20
alone (left) and in the presence of PPIA (middle; PPIA:PR20 molar
ratio of 1:8) in the region of Hδ of prolines. The
exchange peak between the cis and trans isoforms of Hδ proline is marked by a rectangle. For comparison, the ROESY spectrum
of the same PPIA/PR20 sample is shown on the right. The mixing time
for the NOESY experiments is 300 ms; for the ROESY it is 220 ms. (b)
Ratios between the intensity of the cis/trans-exchange peak of proline
Hδ, I(ex), and the intensity of
its trans diagonal peak, I(trans), as a function
of mixing time of the NOESY experiment for PPIA:PR20 molar ratios
of 1:30 (red, square), 1:8 (green, circle),1:4 (blue, triangle), and
1:1.5 (magenta, inverted triangle) and for a PPIA(R55A):PR20 ratio
of 1:8 (yellow, circle). Lines represent least-squares fittings of
the data to obtain the exchange rate kex. Error bars represent the error in Iex/Itrans calculated from the noise in
the NMR spectra. The graphs on the left and right represent the same
analysis, but the Iex value in the two
cases is taken from the two exchange peaks on either side of the diagonal,
which are marked by rectangular boxes in panel a (middle). (c) Rates
of cis/trans-interconversion, kex, in
PR20 for different PPIA:PR20 ratios derived from fitting the Iex/Itrans value
corresponding to various mixing times against eq 7. Error bars represent
standard deviations from the average kex value.To quantify the enhancement in isomerization rate
in PR20 in the
presence of PPIA, the cis/trans-interconversion rate (kex value) was determined for PPIA:PR20 molar ratios of
1:30, 1:8, 1:4, and 1:1.5. Experimental data, i.e., the ratio of intensity
of the exchange peak to that of the trans diagonal peak (or the cis
diagonal peak), derived from NOESY spectra with mixing times ranging
from 50 to 400 ms were fitted according to the two-state exchange
model for proline isomerization (Figures b, S4a). The cis/trans-interconversion
rates for proline in a peptide are on the order of 10–3 s–1 in the absence of isomerases.[38] The kex value estimated for
prolines of PR20 in the presence of PPIA was higher than this value
by about 3 orders of magnitude. The average kex values derived from the intensity ratio of the exchange
peak to the trans diagonal peak are 1.33 ± 0.01 s–1, 6.05 ± 0.11 s–1, 9.64 ± 0.46 s–1, and 17.13 ± 0.77 s–1 for
PPIA:PR20 molar ratios of 1:30, 1:8, 1:4, and 1:1.5, respectively
(Figure c). When derived
from the intensity ratios of the exchange peak to the cis diagonal
peak, we obtained 2.99 ± 0.20 s–1, 8.45 ±
0.08 s–1, 14.86 ± 1.03 s–1, and 20.80 ± 7.36 s–1, respectively (Figure S4b). The later kex values are less accurate, because of the low signal intensity
of the cis diagonal peak (Figure a). We attribute the differences in the kex values derived from the two ways of analysis to the
inaccuracies in the later “cis” analysis. Notably, the
interconversion rate gradually increases with increasing PPIA concentration
and the dependence of kex on PPIA concentration
starts to saturate at higher PPIA concentrations (PPIA:PR20 of 1:1.5)
(Figures c, S4b).Following the same strategy, we then
determined the kex value of proline isomerization
in PR20 in the presence
of the mutant PPIA(R55A) (Figures b,c, S4a,b). At an 8-fold
excess of PR20 over PPIA(R55A), the kex value obtained from the intensity ratio of the exchange peak to
the trans diagonal peak was 2.82 ± 1.42 s–1, and that from the intensity ratio of the exchange peak to the cis
diagonal peak 4.56 ± 2.03. The kex values in the presence of the mutant PPIA(R55A) are thus approximately
a factor 2 lower than with the wild-type PPIA (Figures c, S4b). This
demonstrates the residual activity of PPIA(R55A). A complete inhibition
of the enzymatic activity would require a full blockage of the binding,
underlining the difficulty of disentangling the effect of binding
and isomerization on droplet dissolution.Next, we investigated
if PPIA is able to reverse LLPS of a proline-rich
IDP, which does not require nucleic acids for LLPS. We selected the
441 residue protein tau (Figure a), because it has—in addition to its importance
for disease—several useful properties: (i) a more diverse amino
acid sequence when compared to PR20, (ii) a high content of proline
residues in the so-called proline-rich region (Figure a), which is important for tau LLPS,[39] and (iii) robust self-coacervation at room temperature.[36] First, we characterized the binding of PPIA
to tau using NMR (Figures b, S5). Residue-specific analysis
showed that PPIA decreases the signal intensity of many tau cross
peaks in the 2D 1H–15N HSQC. The strongest
signal attenuation was detected at the N-terminus of tau, in and close
to the two N-terminal inserts N1/N2, the proline-rich domain, repeats
R1 and R3, and the C-terminal region (Figure b). Much less signal broadening was induced
in the tau cross peaks when the mutant PPIA(R55A) was added (Figure b, red).
Figure 3
PPIA modulates
tau LLPS. (a) Domain organization of tau comprising
the N-terminal domain, the proline-rich domain (P1 and P2), the repeats
R1, R2, R3, R4, and R′, and the C-terminal domain. The locations
of prolines are marked by green dots. Black and red dots represent
positively and negatively charged residues, respectively. (b) Binding
of tau to wild-type and mutant PPIA. Changes in the intensities of 1H–15N HSQC peaks of tau upon addition of
a 10-fold excess of PPIA (blue) and PPIA(R55A) (red). I and I0 are the intensities of the tau
HSQC peaks in the presence and absence of PPIA (or PPIA(R55A)), respectively.
Gray bars represent residues that are excluded from the analysis.
(c) LLPS of tau. Droplets were visualized by addition of Alexa488-labeled
tau (green). Image was recorded after 5 min of incubation. Scale bar,
30 μm. (d) Concentration of PPIA inside tau droplets. Recruitment
ratios calculated on the basis of ∼20 droplets for each tau:PPIA
(black) and tau:PPIA(R55A) (gray) molar ratio, obtained from two independent
experiments per condition. In the box and whisker plot, the middle
line is the median, ends of the boxes represent the upper and lower
quartiles, while whiskers extend until the highest and lowest observations.
An unpaired t test gave no significant difference
between PPIA and PPIA(R55A) recruitment ratios. ns stands for no significant
difference, i.e., p > 0.05. (e) PPIA-induced dissolution
of tau droplets. Fluorescence images of Alexa488-labeled tau droplets
with PPIA (left) and PPIA(R55A) (right) at a PR20:PPIA (or PPIA(R55A))
ratio of 1:1. Images were obtained after 5 min of incubation. Scale
bar, 30 μm. (f) Granular areas occupied by tau droplets 5 min
after addition of wild-type PPIA (blue) or mutant PPIA(R55A) (red)
for PR20:PPIA (or PPIA(R55A)) ratios of 1:1, 1:2.5, and 1:5. Granular
areas in a control sample without PPIA are displayed in black. Granular
area is taken as the average of area occupied by droplets, calculated
from 24 images from three repeats (8 images from one repeat) per condition.
Error bars represent standard deviation from average area.
PPIA modulates
tau LLPS. (a) Domain organization of tau comprising
the N-terminal domain, the proline-rich domain (P1 and P2), the repeats
R1, R2, R3, R4, and R′, and the C-terminal domain. The locations
of prolines are marked by green dots. Black and red dots represent
positively and negatively charged residues, respectively. (b) Binding
of tau to wild-type and mutant PPIA. Changes in the intensities of 1H–15N HSQC peaks of tau upon addition of
a 10-fold excess of PPIA (blue) and PPIA(R55A) (red). I and I0 are the intensities of the tau
HSQC peaks in the presence and absence of PPIA (or PPIA(R55A)), respectively.
Gray bars represent residues that are excluded from the analysis.
(c) LLPS of tau. Droplets were visualized by addition of Alexa488-labeled
tau (green). Image was recorded after 5 min of incubation. Scale bar,
30 μm. (d) Concentration of PPIA inside tau droplets. Recruitment
ratios calculated on the basis of ∼20 droplets for each tau:PPIA
(black) and tau:PPIA(R55A) (gray) molar ratio, obtained from two independent
experiments per condition. In the box and whisker plot, the middle
line is the median, ends of the boxes represent the upper and lower
quartiles, while whiskers extend until the highest and lowest observations.
An unpaired t test gave no significant difference
between PPIA and PPIA(R55A) recruitment ratios. ns stands for no significant
difference, i.e., p > 0.05. (e) PPIA-induced dissolution
of tau droplets. Fluorescence images of Alexa488-labeled tau droplets
with PPIA (left) and PPIA(R55A) (right) at a PR20:PPIA (or PPIA(R55A))
ratio of 1:1. Images were obtained after 5 min of incubation. Scale
bar, 30 μm. (f) Granular areas occupied by tau droplets 5 min
after addition of wild-type PPIA (blue) or mutant PPIA(R55A) (red)
for PR20:PPIA (or PPIA(R55A)) ratios of 1:1, 1:2.5, and 1:5. Granular
areas in a control sample without PPIA are displayed in black. Granular
area is taken as the average of area occupied by droplets, calculated
from 24 images from three repeats (8 images from one repeat) per condition.
Error bars represent standard deviation from average area.In order to gain further insights into the PPIA/tau
interaction,
we titrated 15N-labeled PPIA with unlabeled tau. Only at
very high molar excess of tau over PPIA did we detect changes in the
position and intensity of the PPIA cross peaks (Figure S6a,c). This is in strong contrast to the NMR data
for the PPIA/tau titration, in which strong signal broadening already
occurred at 4-fold excess of PR20 over PPIA (Figure a). We then performed a residue-specific
analysis of the tau-induced chemical shift perturbations in PPIA (Figure S6c). The analysis showed that the tau-induced
changes were located in PPIA’s enzymatic pocket (Figure S6d). Fitting the concentration-dependent
chemical shift perturbation (CSP) of Arg55 to a one-site binding model
results in a Kd value of 353 ± 30
μM (Figure S6e). We then performed
a global fit of the CSPs of several strongly perturbed residues (Arg55,
Met61, Ser99, Phe113, Thr119, Leu122) and obtained a Kd value of 194 ± 39 μM. The affinity of the
PPIA/tau interaction is thus approximately a magnitude weaker than
the PPIA/PR20 interaction. On the basis of the calculated Kd values, we estimate that at the conditions
of the NMR experiment shown in Figure b ∼49% (global fit; 35% for the R55-fit) of
tau molecules are bound to PPIA. Because the degree of PPIA-induced
signal broadening largely exceeds those values in several tau regions
(Figure b), we conclude
that a sizeable fraction of the signal broadening induced in tau upon
PPIA addition likely arises from PPIA-catalyzed cis/trans-isomerization
of tau’s proline residues.We also titrated 15N-labeled mutant PPIA(R55A) with
tau. We observed chemical shift perturbations that were weaker than
those of the wild-type PPIA/tau interaction (Figure S6b,c), while the signal broadening was comparable (Figure S6c). Estimation of the Kd on the basis of the chemical shift perturbation returned
values of 817 ± 74 μM (for Arg55; Figure S6e) and 562 ± 83 μM (for global fit). Thus, the
PPIA-bound fraction of tau molecules in the NMR experiment of Figure b is 19% (on the
basis of the Arg55 Kd) and 26% (for the
global fit Kd).Next, we studied
the impact of both wild-type and mutant PPIA on
tau LLPS. Tau undergoes LLPS at 20 μM concentration in a buffer
of low ionic strength (Figures c, S7a).[36] When PPIA is added, it is enriched 4–6-fold inside the tau
droplets (Figure d).
A similar enrichment was observed for the mutant PPIA(R55A) (Figures d, S7b). The more pronounced enrichment of PPIA inside tau droplets
(4–6-fold) when compared to PR20/tRNA droplets (∼1.4)
suggests that in the case of PR20/tRNA the competitive binding between
PPIA and tRNA to PR20 decreases the enrichment of PPIA inside the
PR20/tRNA droplets. In subsequent experiments, we added PPIA to preformed
tau droplets at 1:1, 1:2.5, and 1:5 molar ratios (Figures e,f, S7c). This caused a strong decrease in tau droplet numbers already at
equimolar concentration (Figures e,f, S6c). In the case of
the mutant PPIA(R55A), less dissolution was detected (Figures e,f, S7c). We further note that lower concentrations of PPIA are required
to dissolve tau droplets than PR20/tRNA droplets, despite the reduced
affinity of PPIA to tau.Next, PPIA was added to tau droplets
at a tau:PPIA molar ratio
of 1:0.5. Fluorescently labeled tau inside a region of the droplet
was photobleached, and the recovery was recorded (Figure S8a). The recovery rate was comparable for tau droplets
in the presence and absence of PPIA (Figure S8b). Thus, for both droplet systems, tau and PR20/RNA, recruitment
of PPIA did not cause a detectable change of the liquidity of the
protein/polypeptide inside the droplets.
Discussion
Different chaperones have been investigated
with respect to their
regulatory role in biomolecular LLPS,[3−6,40−42] but the role of PPIA or other prolyl isomerases, despite the abundance
of phase separating proteins in its interactome,[10] remained unexplored. Using the proline-rich proteins tau
and PR20, we showed that PPIA is recruited into and dissolves liquid-like
droplets formed by these IDPs. PPIAs are special when compared to
other chaperones for two reasons: (i) they preferentially bind to
proline residues, and (ii) they catalyze proline cis/trans-isomerization.
Generally, it is difficult to decouple these two processes, because
both occur at the active site; that is, point mutations affect both
processes. Despite the strong connection between binding to the active
site and catalysis of proline isomerization, the modulatory action
of PPIA on tau LLPS points to a significant contribution of proline
isomerization to the PPIA-mediated dissolution of tau droplets (Figure ). Binding of PPIA
to tau is very weak such that in both the dilute phase and, even more,
inside the droplets, where tau is highly concentrated, only a small
fraction of tau molecules are bound to PPIA. When we make some simplifying
assumptions such as (i) all tau is inside the droplet (in agreement
with negligible tau fluorescence outside; Figure c,e), (ii) the area occupied by the droplets
is directly correlated to the volume, i.e., the third dimension of
the slice observed under the microscope is considered negligible,
and (iii) one-site binding of tau to PPIA, we estimated the fraction
of PPIA-bound tau inside the droplets as ∼1.5% at the tau:PPIA
molar ratio of 1:0.25 (3.4% at the tau:PPIA molar ratio of 1:0.5).
Because the recruitment of wild-type PPIA and mutant PPIA(R55A) into
the droplets is very similar (Figure d) and the affinity of PPIA(R55A) is only ∼2–3-fold
lower (Figure S6e), this value changes
only to ∼1.2% at the tau:PPIA(R55A) molar ratio of 1:0.25 (2.7%
at the tau:PPIA(R55A) molar ratio of 1:0.5). In contrast, we find
that PPIA drastically remodels the conformational ensemble of tau
as seen by PPIA-induced signal broadening of the tau backbone resonances
(Figure b). This remodeling
is largely absent for the mutant PPIA (Figure b). We thus suggest that the stronger dissolution
power of PPIA when compared to PPIA(R55A) (Figure e,f) is linked to the wild-type protein’s
ability to remodel the conformational ensemble of tau through proline
isomerization.In the current study we have investigated the
regulatory role of
the proline isomerase PPIA on liquid-like droplets freshly formed
by two proline-rich IDPs. Changes in the material properties of droplets
from a liquid-like state to more solid phases, however, have been
linked to amyloid formation, for example in the case of the ALS/FTD-related
protein FUS and also for tau.[30,43] It will therefore be
interesting to study how PPIA and other proline isomerases modulate
the maturation kinetics of condensates. Because of the strong changes
induced in the conformational ensembles of IDPs by proline isomerization,
the maturation kinetics of condensates could be affected by proline
isomerases. Supportive for this hypothesis are studies in cells: PPIA
expression was essential for stress granule formation in hematopoietic
cells in conditions of oxidative stress,[10] and knock out or age-dependent reduction of PPIA decreased stress
granules.[10]In summary, our work
establishes a regulatory role of proline isomerases
on the liquid–liquid phase separation of proline-rich IDPs.
Targeting proline isomerases by small molecules might thus provide
a viable strategy to modulate disease-associated biomolecular condensates.
Experimental Section
Detailed experimental methods
are included in the Supporting Information.
Authors: Carlo Camilloni; Aleksandr B Sahakyan; Michael J Holliday; Nancy G Isern; Fengli Zhang; Elan Z Eisenmesser; Michele Vendruscolo Journal: Proc Natl Acad Sci U S A Date: 2014-06-30 Impact factor: 11.205
Authors: Kyung-Ha Lee; Peipei Zhang; Hong Joo Kim; Diana M Mitrea; Mohona Sarkar; Brian D Freibaum; Jaclyn Cika; Maura Coughlin; James Messing; Amandine Molliex; Brian A Maxwell; Nam Chul Kim; Jamshid Temirov; Jennifer Moore; Regina-Maria Kolaitis; Timothy I Shaw; Bing Bai; Junmin Peng; Richard W Kriwacki; J Paul Taylor Journal: Cell Date: 2016-10-20 Impact factor: 41.582
Authors: Steven Boeynaems; Alex S Holehouse; Venera Weinhardt; Denes Kovacs; Joris Van Lindt; Carolyn Larabell; Ludo Van Den Bosch; Rhiju Das; Peter S Tompa; Rohit V Pappu; Aaron D Gitler Journal: Proc Natl Acad Sci U S A Date: 2019-03-29 Impact factor: 11.205
Authors: Tina Ukmar-Godec; Saskia Hutten; Matthew P Grieshop; Nasrollah Rezaei-Ghaleh; Maria-Sol Cima-Omori; Jacek Biernat; Eckhard Mandelkow; Johannes Söding; Dorothee Dormann; Markus Zweckstetter Journal: Nat Commun Date: 2019-07-02 Impact factor: 14.919
Authors: Susanne Wegmann; Bahareh Eftekharzadeh; Katharina Tepper; Katarzyna M Zoltowska; Rachel E Bennett; Simon Dujardin; Pawel R Laskowski; Danny MacKenzie; Tarun Kamath; Caitlin Commins; Charles Vanderburg; Allyson D Roe; Zhanyun Fan; Amandine M Molliex; Amayra Hernandez-Vega; Daniel Muller; Anthony A Hyman; Eckhard Mandelkow; J Paul Taylor; Bradley T Hyman Journal: EMBO J Date: 2018-02-22 Impact factor: 11.598