We designed small molecules that bind the structure of the RNA that causes fragile X-associated tremor ataxia syndrome (FXTAS), an incurable neuromuscular disease. FXTAS is caused by an expanded r(CGG) repeat (r(CGG)(exp)) that inactivates a protein regulator of alternative pre-mRNA splicing. Our designed compounds modulate r(CGG)(exp) toxicity in cellular models of FXTAS, and pull-down experiments confirm that they bind r(CGG)(exp) in vivo. Importantly, compound binding does not affect translation of the downstream open reading frame (ORF). We compared molecular recognition properties of our optimal compound to oligonucleotides. Studies show that r(CGG)(exp)'s self-structure is a significant energetic barrier for oligonucleotide binding. A fully modified 2'-OMethyl phosphorothioate is incapable of completely reversing an FXTAS-associated splicing defect and inhibits translation of the downstream ORF, which could have deleterious effects. Taken together, these studies suggest that a small molecule that recognizes structure may be more well suited for targeting highly structured RNAs that require strand invasion by a complementary oligonucleotide.
We designed small molecules that bind the structure of the RNA that causes fragile X-associated tremor ataxia syndrome (FXTAS), an incurable neuromuscular disease. FXTAS is caused by an expanded r(CGG) repeat (r(CGG)(exp)) that inactivates a protein regulator of alternative pre-mRNA splicing. Our designed compounds modulate r(CGG)(exp) toxicity in cellular models of FXTAS, and pull-down experiments confirm that they bind r(CGG)(exp) in vivo. Importantly, compound binding does not affect translation of the downstream open reading frame (ORF). We compared molecular recognition properties of our optimal compound to oligonucleotides. Studies show that r(CGG)(exp)'s self-structure is a significant energetic barrier for oligonucleotide binding. A fully modified 2'-OMethyl phosphorothioate is incapable of completely reversing an FXTAS-associated splicing defect and inhibits translation of the downstream ORF, which could have deleterious effects. Taken together, these studies suggest that a small molecule that recognizes structure may be more well suited for targeting highly structured RNAs that require strand invasion by a complementary oligonucleotide.
Oligonucleotides
are the gold
standard for targeting RNA as they have broad utility and can be designed
using simple Watson–Crick base pairing rules.[1] Oligonucleotides, however, have several suboptimal properties
as therapeutic modalities or chemical genetics probes of function,
including poor cellular permeability and nonspecific stimulation of
the immune system.[2−4] As an alternative to oligonucleotide-based therapeutics,
we have been investigating RNA-small molecule interactions in an effort
to establish design principles analogous to base pairing rules. In
particular, we identify and characterize the preferred RNA secondary
structural elements (motifs) of various small molecules.[5−7] Indeed, we have shown that these interactions can inform drug design.[8−11] That is, we compare the motifs within a cellular RNA to our set
of RNA motif-small molecule interactions to identify lead small molecules.
Lead small molecules can be optimized using various medicinal chemistry
approaches such as definition of structure–activity relationships,
structure-based design,[12−14] or chemical similarity searching.[15] Ideal RNA targets have more than one targetable
motif, such that a multivalent compound can be designed to increase
affinity and selectivity.[16−20]Various diseases are caused by RNAs, including microsatellite
disorders
such as fragile X-associated tremor ataxia syndrome (FXTAS).[21] FXTAS is an incurable neurological disorder
that is associated with multisystem atrophy, parkinsonism, dysautonomia,
neuropathy, and dementia. The disease is caused via a gain-of-function
by expanded r(CGG) repeats (r(CGG)exp)[22] located in the 5′ untranslated region (UTR) of the
fragile X mental retardation 1 (FMR1) mRNA (encodes
fragile X mental retardation protein; FMRP).[23−25] The repeat
folds into a hairpin with an array of 1×1 nucleotide GG internal
loops (Figure 1A).[9,22,26] The loops bind and sequester proteins involved
in RNA biogenesis including DiGeorge syndrome critical region gene
8 protein (DGCR8), Src-associated in mitosis, 68 kDa protein (Sam68),
and heterogeneous nuclear ribonucleoprotein (hnRNP).[22,26] Protein sequestration causes dysregulation of alternative pre-mRNA
splicing in FXTAS model cellular systems and patient-derived tissue.[26] Although oligonucleotides have been employed
successfully to improve defects associated with other microsatellite
disorders,[27,28] they may not be ideal for r(CGG)exp because it is highly structured and because depletion or
inactivation of the FMR1 mRNA via antisense or RNAi
pathways could exacerbate disease; fragile X syndrome is caused by
loss of FMRP.[29] Herein, we describe our
studies to investigate the therapeutic potential of modularly assembled
compounds and oligonucleotides that are complementary to r(CGG)exp (Figure 1B). It is likely that certain
types of RNAs are more suitable for small molecules while others are
more suitable for oligonucleotides.
Figure 1
Disease pathology of FXTAS. (A) FXTAS
is caused by r(CGG)exp present in the 5′ UTR of
the fragile X mental retardation
1 (FMR1) mRNA. The RNA folds into a hairpin with
regularly repeating 1×1 nucleotide GG internal loops. The loops
bind and sequester proteins that are involved in RNA biogenesis such
as Sam68, hnRNP, and DGCR8. Formation of these r(CGG)exp-protein complexes inactivates the proteins and causes FXTAS-associated
defects in RNA biogenesis. (B) Designer small molecules targeting
the repeating structure of r(CGG)exp displace bound proteins,
restoring their function. (C) Oligonucleotides complementary to r(CGG)exp must disrupt the RNA’s self-structure in order for
duplex formation to occur, a significant energetic penalty that negatively
affects potency.
Disease pathology of FXTAS. (A) FXTAS
is caused by r(CGG)exp present in the 5′ UTR of
the fragile X mental retardation
1 (FMR1) mRNA. The RNA folds into a hairpin with
regularly repeating 1×1 nucleotide GG internal loops. The loops
bind and sequester proteins that are involved in RNA biogenesis such
as Sam68, hnRNP, and DGCR8. Formation of these r(CGG)exp-protein complexes inactivates the proteins and causes FXTAS-associated
defects in RNA biogenesis. (B) Designer small molecules targeting
the repeating structure of r(CGG)exp displace bound proteins,
restoring their function. (C) Oligonucleotides complementary to r(CGG)exp must disrupt the RNA’s self-structure in order for
duplex formation to occur, a significant energetic penalty that negatively
affects potency.
Results and Discussion
Design
of Small Molecules That Bind r(CGG)exp
In order
to identify lead small molecules that bind r(CGG)exp, the
causative agent of FXTAS,[23−25] we compared its secondary
structure to a set of RNA motif–small molecule interactions
that have been identified and characterized by our laboratory.[5−7] In particular, we were interested in compounds that (i) bind to
the repeating motifs in r(CGG)exp (1×1 nucleotide
GG internal loops; Figure 1) and (ii) can be
modularly assembled to afford multivalent compounds that recognize
the repeating structure of r(CGG)exp, rather than a singular
motif. Six small molecules including five aminoglycosides and the bis-benzimidazole Ht-N, which are well-known nucleic acid binders,[30,31] were identified as lead RNA-binding modules.[20] We chose Ht-N to
pursue for further investigation because of its drug-like properties,
cellular permeability in mammalian cells, and high affinity binding
to 5′CGG/3′GGC (Kd = 375 ± 26 nM).[9]Ht-N also
contains an orthogonal azide moiety that can be used for polyvalent
display on a polymeric backbone (Figure 2B).
A peptoid backbone was chosen as the modular display scaffold because
(i) valency and the distance between RNA-binding modules can be easily
controlled, (ii) their synthesis is facile and various RNA-binding
modules can be easily incorporated,[32,33] and (iii)
they are cell-permeable.[34]
Figure 2
Lead compounds were identified
by comparing the secondary structure
of r(CGG)exp to a database of RNA motif-small molecule
interactions. One of the leads, Ht-N, was optimized using a modular assembly approach. Ht-N was selected for further investigation
due to its drug-like properties and cellular permeability. (A) Structures
of the lead compounds and their corresponding RNA motifs. (B) Structures
of modularly assembled small molecules that target r(CGG)exp using Ht-N as a lead small
molecule. In order to develop multivalent compounds that target the
repeating nature of r(CGG)exp, the Ht-N module was anchored onto a peptoid scaffold.
The distance between RNA-binding modules is controlled by the number
of propylamine spacers conjugated between alkynes, which are used
to conjugate Ht-N via a Cu(I)-catalyzed
click reaction. The most potent compound most closely mimics the periodicity
in r(CGG)exp to inhibit protein binding.
Lead compounds were identified
by comparing the secondary structure
of r(CGG)exp to a database of RNA motif-small molecule
interactions. One of the leads, Ht-N, was optimized using a modular assembly approach. Ht-N was selected for further investigation
due to its drug-like properties and cellular permeability. (A) Structures
of the lead compounds and their corresponding RNA motifs. (B) Structures
of modularly assembled small molecules that target r(CGG)exp using Ht-N as a lead small
molecule. In order to develop multivalent compounds that target the
repeating nature of r(CGG)exp, the Ht-N module was anchored onto a peptoid scaffold.
The distance between RNA-binding modules is controlled by the number
of propylamine spacers conjugated between alkynes, which are used
to conjugate Ht-N via a Cu(I)-catalyzed
click reaction. The most potent compound most closely mimics the periodicity
in r(CGG)exp to inhibit protein binding.In order to determine the distance between RNA-binding
modules
that most closely mimics the distance between 5′CGG/3′GGC motifs that periodically
repeat in r(CGG)exp, we screened a library of H-dimers[20] for disrupting a r(CGG)12-protein complex in vitro (where H indicates the conjugated form Ht-N; Figure 2B). The following nomenclature
is used for modularly assembled compounds: 2H- where 2H indicates two H RNA-binding
modules and indicates the number of
propylamine spacers (or distance) that separate Hs (Figure 2B). The in vitro potencies of Ht-N and the library of dimers were
measured using a previously reported time-resolved fluorescence resonance
energy transfer (TR-FRET) assay (Table 1).[9] It has been previously shown that DGCR8 binds
r(CGG)exp and forms a scaffold for the binding of other
proteins such as Sam68 and hnRNP.[9,26,35] Therefore, the TR-FRET assay measures the amount
of r(CGG)12-DGCR8Δ complex present.
Table 1
IC50’s of Modularly
Assembled Small Molecules for Inhibition of r(CGG)12-DGCR8Δ
Complexes in Vitro and in Vivo
compound
IC50 (μM)a
IC50 (μM) competitorb
% improvement
of SMN2 splicingc
Ht-N3
33 ± 1
130 ± 4
2 ± 3
2H-1
18 ± 0.2
31 ± 2
4 ± 12
2H-2
17 ± 0.7
40 ± 4
11 ± 10
2H-3
18 ± 0.7
30 ± 0.7
30 ± 2
2H-4
20 ± 0.2
28 ± 1
25 ± 10
2H-5
18 ± 0.8
23 ± 3
34 ± 8
2H-6
23 ± 1
24 ± 2
27 ± 7
2H-7
35 ± 0.2
37 ± 1
33 ± 3
IC50’s were measured
for disruption of a preformed RNA–protein complex.
Studies were completed in the presence
of 65-fold excess tRNA over r(CGG)12.
Compounds were tested at 20 μM
concentration.
IC50’s were measured
for disruption of a preformed RNA–protein complex.Studies were completed in the presence
of 65-fold excess tRNA over r(CGG)12.Compounds were tested at 20 μM
concentration.
Potencies and
Affinities of Small Molecules
We completed
IC50 measurements in the presence and absence of competitor
tRNA (65-fold excess) (Table 1 and Supplementary Figure S-1). In the absence of
competitor tRNA, 2H-1–2H-6 have similar
potencies with IC50's ranging from 17 to 23 μM,
an
∼1.6-fold increase in potency over monomer Ht-N (Table 1). In contrast,
there is a wider range of IC50's in the presence of
competitor
tRNA, from 23 to 130 μM (Table 1). The
most potent compounds are 2H-5 and 2H-6 with
IC50's of 23 ± 1 and 24 ± 2 μM, respectively,
which vary little from their IC50's in the absence
of competitor
and indicate that they are selective for r(CGG)12. In contrast,
the IC50 for Ht-N increases by ∼4-fold in the presence of competitor tRNA (33
± 1 μM vs 130 ± 4 μM). Taken together, 2H-5 and 2H-6 are more selective than Ht-N (as evidenced by no change in their IC50's in the presence and absence of tRNA) and are ∼6-fold
more potent than Ht-N in the
presence of competitor (Table 1). The enhancement
in potency is somewhat less than expected and may be due to a lack
of preorganization of the modular assembly scaffold, which can be
further optimized.The affinity of 2H-5 for various
RNAs was determined by using a fluorescence-based assay. 2H-5 forms a 1:1 complex (1.1 ± 0.2:1) with an RNA with one copy
of the 5′CGG/3′CGG motif that periodically repeats in r(CGG)exp (Supplementary Figure S-2) and binds with an affinity
of 165 ± 5 nM. The affinity of the compound to an RNA with 12
copies of the 5′CGG/3′CGG motif (Supplementary Figure S-2) is enhanced by ∼3-fold (55 ± 10 nM). Moreover, 2H-5 occupies each 5′CGG/3′CGG binding site when statistical effects are taken into
account as the stoichiometry is 4.6 ± 1.1:1 (2H-5:RNA).[36] The enhancement in affinity is
not as large as expected, likely because the peptoid backbone has
a great deal of conformational flexibility and thus is not preorganized
for binding. Such effects have been previously observed.[16,20]We studied the selectivity of 2H-5in
vitro by investigating its binding to r(CUG) repeats and
bulk tRNA. Importantly, 2H-5 binds ∼5-fold more
tightly to an RNA with 12 copies
of a 5′CGG/3′CGG motif than to an RNA with 12 copies of a 5′CUG/3′CUG motif (Kd = 280 ± 76 nM; Supplementary Figure
S-2). Moreover, 2H-5 binds weakly to competitor
tRNA as no binding saturation was observed when up to 2 μM tRNA
(Kd ≫ 2 μM) was added (4-fold
excess over 2H-5), in agreement with IC50 values
in the presence and absence of competitor tRNA, which do not change
(Table 1). We previously reported that a similar
compound, 2H-4, is optimal for targeting 5′CUG/3′CUG repeats.[20]2H-4 binds an RNA with 12 copies
of a 5′CGG/3′CGG motif 4-fold more weakly than 2H-5 with a Kd of 212 ± 35 nM (Supplementary
Figure S-2). Thus, the distance between RNA-binding modules
contributes to the specificity of the small molecule.In a previous
report, we identified another small molecule, 9-hydroxy-5,11-dimethyl-2-(2-(piperidin-1-yl)ethyl)-6H-pyrido[4,3-b]carbazol-2-ium (1a) by screening small molecule libraries for compounds similar to Ht-N.[9]1a binds r(CGG) repeats with high affinity (Kd = 76 ± 4 nM) and disrupts the binding
of DGCR8Δ in vitro with an IC50 of
13 ± 0.4 μM.[9]
Potencies and
Affinities of Oligonucleotides
Previous
structural studies of r(CGG)exp model systems have shown
that the repeat forms a stable structure in which the 1×1 nucleotide
GG internal loops adopt a syn-anti conformation with
three hydrogen bonds.[37] Because of the
stability of the loops and because r(CGG) repeats fold into an intramolecular
hairpin (Supplementary Figure S-3), we
hypothesized that the self-structure of the repeats poses a significant
barrier for duplex formation with a complementary oligonucleotide.
The significance of this barrier was probed using gel mobility shift
assays in which r(CGG)12 and a complementary oligonucleotide
were folded either separately or together (Supplementary
Figure S-4). These studies showed that the EC50 is
7-fold lower when oligonucleotides are folded with r(CGG)12 than when they are folded separately (Supplementary
Figure S-4). This large difference cannot be traced to oligonucleotide
self-structure as both d(CCG)8 and d(CCG)12 form
weak hairpin structures (as determined by optical melting experiments;
ΔG°37 ≈ −1.5
kcal/mol), but rather to the inherent stability of r(CGG)12 (ΔG°37 = −5.6 kcal/mol)
(Supplementary Figure S-3 and Supplementary Tables S1–S3). We predicted
the contributions of the RNA’s and oligonucleotide’s
self-structures to duplex formation using the OligoWalk program,[38] which confirmed that the self-structure of the
RNA is a large energetic barrier (Supplementary
Table S-4). (Please note that OligoWalk predicts duplex stability
based on experimental measurements completed in 1 M Na+, which is much different than conditions used herein (193 mM Na+).)The two DNA oligonucleotides were also studied for
inhibition and disruption of the r(CGG)12-DGCR8Δ
complex (Table 2 and Supplementary
Figure S-5). In the first set of experiments, the oligonucleotide
and r(CGG)12 were folded separately, mixed together, and
incubated for 15 min prior to addition of DGCR8Δ. Under these
conditions, d(CGG)12 is only slightly more potent than
d(CGG)8, with IC50’s of 37 and 50 μM,
respectively. In the second set of experiments, the oligonucleotide
and r(CGG)12 were folded together and incubated for 15
min prior to addition of DGCR8Δ. Not unexpectedly, the IC50’s of both compounds improve at least 10-fold, indicating
that the self-structure of r(CGG)12 significantly decreases
oligonucleotide potency (Table 2).
Table 2
Oligonucleotide IC50’s
for Inhibition of a r(CGG)12-DGCR8Δ Complex
IC50 (μM)
oligonucleotide
disruption
inhibitionb
inhibition
when oligo and RNA are folded togetherc
d(CCG)8
>100a
50 ± 17
5 ± 1
d(CCG)12
65 ± 6a
37 ± 2
1.6 ± 0.6
2′-OMe-PS-(CCG)12
0.32 ± 0.04a
0.39 ± 0.02
0.16 ± 0.02
0.57 ± 0.05 (5 min incubation)
0.35 ± 0.04 (30 min incubation)
0.32 ± 0.01 (45 min incubation)
Experiments were
completed by disrupting
a preformed r(CGG)12-DGCR8Δ complex using the same
conditions to collect the data in Table 1 including
the presence of 65-fold excess of bulk tRNA. Samples were incubated
for 60 min.
Oligonucleotides
and r(CGG)12 folded separately and then allowed to equilibrate
prior
to addition of DGCR8Δ.
Oligonucleotides and r(CGG)12 were mixed together and
folded by heating at 95 °C
and slowly cooling to RT. DGCR8Δ was then added.
Experiments were
completed by disrupting
a preformed r(CGG)12-DGCR8Δ complex using the same
conditions to collect the data in Table 1 including
the presence of 65-fold excess of bulk tRNA. Samples were incubated
for 60 min.Oligonucleotides
and r(CGG)12 folded separately and then allowed to equilibrate
prior
to addition of DGCR8Δ.Oligonucleotides and r(CGG)12 were mixed together and
folded by heating at 95 °C
and slowly cooling to RT. DGCR8Δ was then added.Lastly, the d(CCG) oligonucleotides
were studied for disrupting a preformed r(CGG)12-DGCR8Δ
complex in the presence of competitor tRNA, the same conditions under
which the IC50's for 2H- compounds were measured (Table 2). Not unexpectedly,
d(CCG)12 and d(CCG)8 are poor inhibitors of
the preformed complex, with IC50's of 65 and >100
μM,
respectively (Table 2). (It should be noted
that d(CCG)12 and d(CCG)8 do not bind DGCR8Δ
as determined by gel mobility shift assays.)Various studies
have shown that the thermodynamic stability and
other properties of complementary oligonucleotides can be improved
by base and sugar modifications,[39] which
could provide more potent modalities. For example, RNA-RNA duplexes
are more thermodynamically stable than DNA-RNA duplexes;[40,41] 2′-OMe modification increases the thermodynamic stability
of the resulting duplex by ∼0.1 kcal/mol per substitution,[42] and locked nucleic acids (LNAs) provide even
greater enhancements.[43] In our case, we
used a 2′-OMe oligonucleotide modified with a phosphorothioate
(PS) backbone, or 2′-OMe-PS-(CCG)12. Phosphorothioates
have been well studied.[44] Although they
decrease duplex stability[45,46] and selectivity in
some cases,[44] they are resistant to nuclease
cleavage, thereby increasing metabolic stability, and are generally
nontoxic to animals.[47] Indeed, 2′-OMe-PS-(CCG)12 is significantly more potent in vitro than
d(CCG)12 with an IC50 of ∼350 nM (Table 2).Taken together, these studies establish
that modularly assembled
small molecules that target r(CGG)exp structure are more
potent inhibitors of the r(CGG)12-DGCR8Δ complex
than DNA oligonucleotides that recognize sequence but less potent
than an oligonucleotide with 2′-OMe modifications. Moreover,
self-structure of the repeat is an impediment to complex formation
with oligonucleotides.
Improvement of FXTAS-Associated Splicing
Defects
Next, Ht-N and
the 2H- compounds (20 μM) were
screened for improving FXTAS-associated
defects in a cell culture model (Table 1).
The sequestration of Sam68 by r(CGG)exp (via DGCR8) causes
dysregulation of alternative pre-mRNA splicing regulated by Sam68.[26] COS7 cells were co-transfected with a plasmid
encoding r(CGG)60X and a survival of motor neuron 2 (SMN2) mini-gene, the alternative pre-mRNA splicing of which
is regulated by Sam68.[26] The compound of
interest was added in complete growth medium post-transfection, and
alternative pre-mRNA splicing patterns were evaluated by RT-PCR. 2H-5 is the most potent, although similar improvements in SMN2 splicing were observed with other compounds (Table 1).The potency of 2H-5in vivo was further characterized by completing a dose–response
for improvement of SMN2 and Bcl-x alternative splicing (also regulated by Sam68[26,48]) (Figure 3). The alternative pre-mRNA splicing
patterns of both SMN2 and Bcl-x are
restored to wild type when cells are treated with 50 μM 2H-5. Statistically significant improvement is observed for SMN2 pre-mRNA at 20 μM dosage and for Bcl-x pre-mRNA at 10 μM dosage (as determined by comparing the percentage
of exon inclusion in untreated cells that express r(CGG)exp to the percentage of exon inclusion in treated cells using a two-tailed
Student's t test) (Figure 3). Importantly, 2H-5 does not affect the alternative
splicing of the SMN2 or Bcl-x pre-mRNAs
in the absence of r(CGG)60X (Figure 3) or the alternative splicing of pre-mRNAs that are not regulated
by Sam68 including cardiac troponin T (cTNT), insulin
receptor (IR), or pleckstrin homology domain containing,
family H member 2 (PLEKHH2) (Supplementary Figure S-6).[49−51] Interestingly, our previously
reported compound, 1a, improves FXTAS-associated pre-mRNA
splicing defects, however it is ∼10-fold less potent than 2H-5 despite its higher affinity and potency in vitro.[9] This suggests that 1a is
either less selective in vivo, less cell-permeable,
less metabolically stable, or some combination thereof compared with 2H-5.
Figure 3
2H-5 and 2′-OMe-PS-(CCG)12 improve
FXTAS-associated defects in alternative pre-mRNA splicing in a cell
culture model. (A, top) Alternative splicing of SMN2 pre-mRNA is regulated by Sam68.[19] When
Sam68 is sequestered and inactivated by r(CGG)exp, SMN2 splicing is dysregulated. (A, bottom) When an FXTAS
cell culture model is treated with 2H-5, SMN2 splicing patterns are restored as determined by RT-PCR. (B, top)
Alternative splicing of Bcl-x pre-mRNA is also regulated
by Sam68 and hence dysregulated in FXTAS.[19] (B, bottom) When a FXTAS cell culture model is treated with 2H-5, normal Bcl-x splicing patterns are
restored as determined by RT-PCR. (C) 2′OMe-PS-(CCG)12 improves the SMN2 pre-mRNA splicing defect when
transfected into an FXTAS model system. Complete reversal of the splicing
defect is not observed, however, even when cells are treated with
500 nM oligonucleotide. * denotes p < 0.05 as
determined by a two-tailed Student’s t test
(n ≥ 2). Error bars indicate standard deviation.
2H-5 and 2′-OMe-PS-(CCG)12 improve
FXTAS-associated defects in alternative pre-mRNA splicing in a cell
culture model. (A, top) Alternative splicing of SMN2 pre-mRNA is regulated by Sam68.[19] When
Sam68 is sequestered and inactivated by r(CGG)exp, SMN2 splicing is dysregulated. (A, bottom) When an FXTAS
cell culture model is treated with 2H-5, SMN2 splicing patterns are restored as determined by RT-PCR. (B, top)
Alternative splicing of Bcl-x pre-mRNA is also regulated
by Sam68 and hence dysregulated in FXTAS.[19] (B, bottom) When a FXTAS cell culture model is treated with 2H-5, normal Bcl-x splicing patterns are
restored as determined by RT-PCR. (C) 2′OMe-PS-(CCG)12 improves the SMN2 pre-mRNA splicing defect when
transfected into an FXTAS model system. Complete reversal of the splicing
defect is not observed, however, even when cells are treated with
500 nM oligonucleotide. * denotes p < 0.05 as
determined by a two-tailed Student’s t test
(n ≥ 2). Error bars indicate standard deviation.For comparison, we measured the in vivo potency
of 2′-OMe-PS-(CCG)12. A dose–response (4–500
nM) was completed in which the oligonucleotide was transfected into
the FXTAS model cellular system. Somewhat surprisingly, no improvement
was observed when cells were treated with 4 nM oligo. An improvement
in splicing was observed when cells were transfected with 20 and 100
nM oligonucleotide (by ∼50% at 100 nM) (Figure 3C). Increasing the concentration of 2′-OMe-PS-(CCG)12 to 500 nM, however, causes a slight reversion of the SMN2 splicing defect. This is likely due to an off-target
effect caused by the phosphorthioate backbone[52] as a scrambled oligonucleotide exacerbates splicing defects when
cells are transfected with 100 and 500 nM oligo (but not 4 or 20 nM; Supplementary Figure S-7). Thus, in contrast
to 2H-5, 2′-OMe-PS-(CCG)12 is incapable
of completely reversing an FXTAS-associated splicing defect.
Effects
on Translation of the Downstream ORF
Next,
we evaluated if 2H-5 and 2′-OMe-PS-(CCG)12 affect translation of the downstream open reading frame (ORF), which
could be highly unfavorable. Fragile X syndrome is caused by loss
of FMRP; thus, inhibiting translation of FMR1 in
FXTAS patients would likely worsen symptoms. For these studies, COS7
cells were transfected with a plasmid that encodes r(CGG)88 in the 5′ UTR of GFP (in-frame). As shown in Figure 4, treatment with up to 20 μM 2H-5 does not affect the amount of GFP produced nor does it change the
amount of transcript as determined by qRT-PCR. In contrast, 2′-OMe-PS-(CCG)12 severely decreases translation of GFP (Figure 4A) and slightly increases the amount of (CGG)88-GFP transcript (Figure 4B). These data suggest
that 2′-OMe-PS-(CCG)12 acts as a road block, impeding
the translational machinery. Collectively, our in vivo studies suggest that oligonucleotides may not be ideal therapeutic
modalities for FXTAS. 2′-OMe-PS-(CCG)12 is incapable
of restoring splicing patterns to wild type (Figure 3C), and even low nanomolar concentrations that have no effect
on splicing outcomes significantly inhibit translation of the downstream
ORF (50% inhibition at 4 nM; 90% inhibition at 100 nM) (Figure 4A). Since many oligonucleotide modifications are
available,[39] it is possible that an oligonucleotide
could be developed that improves splicing defects but does not inhibit
translation of the downstream ORF. For example, peptide nucleic acids
(PNAs) have been shown to possess enhanced strand invasion properties,[53] which will be particularly important for highly
structured targets.
Figure 4
Binding of 2H-5 to r(CGG)exp embedded
in
a 5′ UTR does not affect translation of a downstream open reading
frame (ORF) (GFP). In contrast, binding of 2′-OMe-PS-(CCG)12 inhibits translation, which could cause deleterious effects.
(A) After treatment with 2H-5 or oligo, total protein
was extracted and analyzed by Western blotting. Importantly, expression
of the downstream ORF is unaffected by binding of 2H-5. 2′-OMe-PS-(CCG)12 inhibits translation even at
4 nM, a concentration that does not improve alternative splicing defects
(Figure 3C). (B) We determined if 2H-5 and 2′-OMe-PS-(CCG)12 affect mRNA expression levels
by qRT-PCR. No change was observed for the compound or the oligonucleotide.
This indicates that the decrease in GFP expression observed with treatment
of 2′-OMe-PS-(CCG)12 is due to impeding the translational
machinery, not silencing of the transcript. ** denotes p < 0.01; *** indicates p < 0.001 as determined
by a two-tailed Student’s t test (n = 2). Error bars indicate standard deviation.
Binding of 2H-5 to r(CGG)exp embedded
in
a 5′ UTR does not affect translation of a downstream open reading
frame (ORF) (GFP). In contrast, binding of 2′-OMe-PS-(CCG)12 inhibits translation, which could cause deleterious effects.
(A) After treatment with 2H-5 or oligo, total protein
was extracted and analyzed by Western blotting. Importantly, expression
of the downstream ORF is unaffected by binding of 2H-5. 2′-OMe-PS-(CCG)12 inhibits translation even at
4 nM, a concentration that does not improve alternative splicing defects
(Figure 3C). (B) We determined if 2H-5 and 2′-OMe-PS-(CCG)12 affect mRNA expression levels
by qRT-PCR. No change was observed for the compound or the oligonucleotide.
This indicates that the decrease in GFP expression observed with treatment
of 2′-OMe-PS-(CCG)12 is due to impeding the translational
machinery, not silencing of the transcript. ** denotes p < 0.01; *** indicates p < 0.001 as determined
by a two-tailed Student’s t test (n = 2). Error bars indicate standard deviation.
Oligonucleotides That Target Other Repeating
RNAs
Oligonucleotides
have been studied for reducing toxicity of other repeating RNAs, in
particular r(CUG)exp (causative agent of myotonic dystrophy
type 1; DM1) and r(CAG)exp (associated with Huntington’s
disease (HD) and spinocerebellar ataxia (SCA)). In general, they are
more potent than oligonucleotides that target r(CGG)exp despite the fact that the oligonucleotides studied herein are much
longer (36 nucleotides compared to 14–21 nucleotides). For
example, (CAG)7, a fully phosphorothioate modified 2′-OMe oligonucleotide,
silences transcripts containing r(CUG)exp with an IC50 of ∼0.4 nM.[27] Interestingly,
a phosphorothioate DNA complementary to r(CUG)exp has an
IC50 in cells of ∼300 nM (as measured by a 50% reduction
in r(CUG)exp levels),[54] 1000-fold
less potent than a phosphorothioate DNA-2′-OMe gapmer.[54] Other gapmers that are complementary to r(CUG)exp have similar potencies. An LNA-2′-O-methoxy ethyl (2′-MOE) gapmer significantly knocks down expression
of r(CUG)960 when cells are transfected with 0.3 nM oligonucleotide.[55] The gapmer also decreases r(CUG)960 expression in a DM1 mouse model, significantly improving other DM1-associated
defects.[55](CUG)7, a 2′-OMe
oligonucleotide complementary to r(CAG)exp in mutant huntingtin
(HTT) mRNA, was studied for allele-specific knock
down of mutant HTT protein. (CUG)7 has an IC50 for inhibition of mutant HTT protein expression between 2.5 and
5 nM in HDpatient-derived cell lines, although it also affects expression
of wild type HTT albeit to a lesser extent.[56] Four 19-nucleotide LNA-DNA gapmer complementary to r(CAG)exp have IC50's between 27 and 40 nM.[57] Since 2′-OMe-PS-(CCG)12 is significantly
less potent than oligonucleotides that target other repeats, it suggests
that the self-structure of r(CGG)exp is a significant factor
that should be considered in the development of oligonucleotide-based
therapeutics.
Identification of the Cellular Targets of 2H-5 and
d(CCG)12
The nature of the modularly assembled
compounds provides a unique opportunity to identify cellular targets.
That is, the compounds can be easily modified to display a chemical
handle for affinity-based purification. To identify the RNA targets
of 2H-5, we synthesized a 2H-5-biotin derivative
by coupling biotin carboxylate to the imino terminus of 2H-5 (Figure 5A, Supplementary
Figures S-8 and S-9, and Supplementary
Methods). 2H-5-Biotin was then added to streptavidin
resin to afford an affinity matrix. Likewise, we added 5′-biotin-d(CCG) to streptavidin resin to identify the cellular RNA
targets of the oligonucleotide.
Figure 5
Identifying the cellular RNA targets of 2H-5-biotin and 5′-Biotin-d(CCG) via a pull-down assay. 2H-5-Biotin and 5′-biotin-d(CCG) were complexed with streptavidin-functionalized resin to afford
an affinity matrix. (A) Structure of 2H-5-biotin. (B)
Representative gel image of the nucleic acids pull-downed by 2H-5-biotin and 5′-biotin-d(CCG) Lanes: 1, DNA ladder; 2, total RNA isolated
from an FXTAS cellular model system; 3, final wash of 5′-biotin-d(CCG)-functionalized
resin; 4, elution of RNA bound to 5′-biotin-d(CCG); 5, total RNA isolated from a FXTAS cellular
model system; 6, final wash of 2H-5-biotin-functionalized
resin; 7, elution of RNAs bound to 2H-5-biotin-functionalized
resin; and 8, DNA ladder. (C) Quantitation of the gel image shown
in B. Both 2H-5-biotin and 5′-biotin-d(CCG) recognize r(CGG)exp. However, 2H-5-biotin pulls down a larger
amount of the target, which is also a larger percentage of the bound
RNAs as confirmed by qRT-PCR.
Total RNA from a FXTAS model
cellular system was applied to the affinity matrix displaying 2H-5 or the oligonucleotide. The resin was washed to remove
unbound biomolecules, and the cellular targets were harvested and
separated by gel electrophoresis. Although both 2H-5 and
d(CCG)12 bind r(CGG)exp (confirmed by Northern
blot; Supplementary Figure S-10), it appears
that 2H-5 pulls down more of the target and that r(CGG)exp comprises a larger percentage of all cellular targets as
compared to d(CCG)12 (Figure 5B
and C). In order to confirm that these observations are indeed the
case, we completed qRT-PCR of the pull-down with primers specific
for r(CGG)exp or 18S rRNA. There is 64-fold more r(CGG)exp present in the RNAs pulled down by 2H-5 than
by d(CCG)12. Moreover, 2H-5 pulls down 16-fold
more r(CGG)exp than 18S rRNA, a 1.6-fold increase compared
to the oligonucleotide. Taken together, this pull-down approach could
be a general method that provides insight into the targets and off-targets
of small molecules.Identifying the cellular RNA targets of 2H-5-biotin and 5′-Biotin-d(CCG) via a pull-down assay. 2H-5-Biotin and 5′-biotin-d(CCG) were complexed with streptavidin-functionalized resin to afford
an affinity matrix. (A) Structure of 2H-5-biotin. (B)
Representative gel image of the nucleic acids pull-downed by 2H-5-biotin and 5′-biotin-d(CCG) Lanes: 1, DNA ladder; 2, total RNA isolated
from an FXTAS cellular model system; 3, final wash of 5′-biotin-d(CCG)-functionalized
resin; 4, elution of RNA bound to 5′-biotin-d(CCG); 5, total RNA isolated from a FXTAS cellular
model system; 6, final wash of 2H-5-biotin-functionalized
resin; 7, elution of RNAs bound to 2H-5-biotin-functionalized
resin; and 8, DNA ladder. (C) Quantitation of the gel image shown
in B. Both 2H-5-biotin and 5′-biotin-d(CCG) recognize r(CGG)exp. However, 2H-5-biotin pulls down a larger
amount of the target, which is also a larger percentage of the bound
RNAs as confirmed by qRT-PCR.
Summary and Conclusions
In summary, it is likely that
different types of RNAs are more amenable to targeting by small molecules
while other types are more amenable to targeting by oligonucleotides.
Both classes of compounds show promise as therapeutic modalities that
modulate the function of disease-associated RNAs. In the case of highly
structured r(CGG)exp residing in a 5′ UTR, we have
shown that small molecule modalities may be better as they do not
inhibit translation of the downstream ORF while also improving alternative
pre-mRNA splicing defects.
Methods
Synthesis
of 2H-5-Biotin
Please see the Supporting Information for synthetic methods
and compound characterization (Supplementary Figures
S-8 and S-9).
Oligonucleotide Preparation and Purification
The RNA
used in the protein displacement assay (5′-biotin-r(CGG)12) was purchased from Dharmacon and deprotected per the manufacturer’s
recommended protocol. The RNA was desalted using a PD-10 gel filtration
column (GE Healthcare). Concentration was determined by absorbance
at 90 °C using a Beckman Coulter DU800 UV–vis spectrophotometer
equipped with a Peltier temperature controller unit. The extinction
coefficient (at 260 nm) was calculated using the HyTher server,[58] which uses nearest neighbors parameters.[59] DNA oligonucleotides were purchased from Integrated
DNA Technologies (IDT) and used without further purification.
DGCR8Δ
Expression and Purification
His-tagged
DGCR8Δ was expressed and purified as previously described.[9]
Protein Displacement Assays
The
protein displacement
assay used to measure the IC50’s of 2H- compounds and oligonucleotides inhibitors of the
r(CGG)12-DGCR8Δ complex was previously described
(n = 2 for 2H- compounds; n = 3 for oligonucleotides).[9] The IC50’s were determined by plotting percent
inhibition of the r(CGG)12-DGCR8Δ complex as a function
of compound or oligonucleotide concentration. The resulting curves
were fit to Sigma Plot’s four parameter logistic curve fit.[9] Representative IC50 curves are provided
in Supplementary Figures S-1 and S-5.
Optical Melting Experiments
Optical melting experiments
of 5′-biotin-r(CGG)12, d(CCG)8, and d(CCG)12 were completed in 1X Melting Buffer (8 mM NaH2PO4, pH 7.0, 185 mM NaCl, and 1 mM EDTA) using a Beckman
Coulter DU800 UV–vis spectrometer with an attached peltier
heater. Melting curves of absorbance versus temperature were acquired
at 260 nm with heating rate of 1 °C/min from 35 to 92 °C
for r(CGG)12 and 15 to 80 °C for d(CCG)8 and d(CCG)12. Melting curves were fit to a two-state
model using the MeltWin program (http://www.meltwin.com) as previously described.[60] The results
of optical melting experiments including normalized melting curves
are provided in Supplementary Tables S-1–S-3
and Figure S-3.
Affinity Measurements
The affinities
of 2H-5 and 2H-4 for various RNAs were determined
as previously
described (Supplementary Figure S-2).[20]
Treatment of a FXTAS Cell Culture Model with
Small Molecules
In order to determine if Ht-N and 2H- compounds
improve FXTAS-associated
splicing defects in vivo, a cell culture model system
was used as previously described.[9,26] Briefly, COS7
cells were maintained in growth medium (1X DMEM, 10% (v/v) FBS, and
1X GlutaMax (Invitrogen)). Cells were transfected using Lipofectamine
2000 reagent (Invitrogen) per the manufacturer’s standard protocol
using equal amounts of a plasmid expressing 60 CGG repeats ((CGG)60X)[35] and a mini-gene of interest.
Approximately 5 h post-transfection, the transfection cocktail was
removed and replaced with growth medium containing 20 μM Ht-N or 2H- compound.
Treatment of an FXTAS Cell Culture Model
with Oligonucleotides
COS7 cells were seeded in a 96-well
plate and transfected with
(CGG)60X and SMN2 mini-genes as described
above. Approximately 5 h post-transfection, cells were washed with
1X DPBS and transfected with oligonucleotide using Lipofectamine 2000
reagent in growth medium. Briefly, 25 μL of Opti-MEM containing
oligonucleotide was mixed with 25 μL of Opti-MEM containing
1 μL of Lipofectamine 2000, and the samples were incubated for
20 min at room temperature. The mixture was then supplemented with
50 μL of 1X DMEM containing 20% (v/v) FBS and 2X GlutaMax and
added to the cells. Cells were treated for 16–24 h followed
by isolation of total RNA and/or protein.
Quantification of Alternative
pre-mRNA Splicing by RT-PCR
RT-PCR amplification of alternative
pre-mRNA splicing isoforms
derived from mini-genes was completed as previously described.[9]Supplementary Table S-5 lists the RT-PCR primers used for each mini-gene construct. Splicing
isoforms were separated using a 2–3% (w/v) agarose gel or a
denaturing 5% (w/v) polyacrylamide gel stained with SYBR gold and
quantified using QuantityOne software (BioRad). Statistical significance
was determined by comparing splicing patterns in treated cells to
untreated cells with a two-tailed Student's t-test
(n ≥ 2).
Western Blotting
After treatment, cells were lysed
in the plate using 50 μL/well of M-PER Mammalian Protein Extraction
Reagent containing 0.5 μL of Halt Protease Inhibitor cocktail
(Thermo Scientific). A 5-μL aliquot of the cell lysate was boiled
in 1X Laemmli Buffer. Cellular proteins were separated by SDS-PAGE
and then transferred to PVDF membrane using a Trans-Blot Turbo Transfer
System (Bio-Rad). Western blotting was completed using anti-GFP (Roche)
or anti-β-actin (Sigma Aldrich) as primary antibodies and anti-IgG-horseradish
peroxidase conjugate as the secondary antibody. Chemiluminescent signal
was generated by adding 10 mL of SuperSignal West Pico Chemiluminescent
substrate (Thermo Scientific), and the blot was imaged using Molecular
Imager Gel Doc XR+ System (Bio-Rad). Statistical significance was
determined by comparing the amount of GFP in treated cells to the
amount in untreated cells using a two-tailed Student's t-test (n = 2).
qRT-PCR
Real time
quantitative RT-PCR was completed
to quantify the relative expression levels of 18S, β-actin,
(CGG)60X, or (CGG)88-GFP as previously described.[61] Briefly, 400 ng of total RNA was reverse transcribed
(25 μL total volume) to generate cDNA as previously described.[9] qPCR was completed in 10 μL using Power SYBR Green PCR Master Mix (Applied Biosystems) according
to the manufacturer’s protocol. PCR reactions contained 5 μL
of 2X Power SYBR Green PCR Master Mix, 2 μL
of the RT reaction, and 2 μM concentration of each primer. qPCR
was perform on an ABI 7900 HT Real-Time PCR System (Applied Biosystems).
The sequences of RT-PCR primers are provided in Supplementary Table S-5. Statistical significance was determined
by comparing the amount of RNA of interest in treated cells to the
amount of RNA of interest in untreated cells using a two-tailed Student's t-test (n = 2 biological replicates; n = 3 technical replicates).
Authors: Raman Parkesh; Jessica L Childs-Disney; Masayuki Nakamori; Amit Kumar; Eric Wang; Thomas Wang; Jason Hoskins; Tuan Tran; David Housman; Charles A Thornton; Matthew D Disney Journal: J Am Chem Soc Date: 2012-03-05 Impact factor: 15.419
Authors: Amy Davidson; Thomas C Leeper; Zafiria Athanassiou; Krystyna Patora-Komisarska; Jonathan Karn; John A Robinson; Gabriele Varani Journal: Proc Natl Acad Sci U S A Date: 2009-07-07 Impact factor: 11.205
Authors: Amit Kumar; Pengfei Fang; Hajeung Park; Min Guo; Kendall W Nettles; Matthew D Disney Journal: Chembiochem Date: 2011-07-15 Impact factor: 3.164
Authors: M Bryan Warf; Masayuki Nakamori; Catherine M Matthys; Charles A Thornton; J Andrew Berglund Journal: Proc Natl Acad Sci U S A Date: 2009-10-12 Impact factor: 11.205
Authors: Zi-Fu Wang; Andrei Ursu; Jessica L Childs-Disney; Rea Guertler; Wang-Yong Yang; Viachaslau Bernat; Suzanne G Rzuczek; Rita Fuerst; Yong-Jie Zhang; Tania F Gendron; Ilyas Yildirim; Brendan G Dwyer; Joseph E Rice; Leonard Petrucelli; Matthew D Disney Journal: Cell Chem Biol Date: 2018-11-29 Impact factor: 8.116
Authors: Wang-Yong Yang; Fang He; Rita L Strack; Seok Yoon Oh; Michelle Frazer; Samie R Jaffrey; Peter K Todd; Matthew D Disney Journal: ACS Chem Biol Date: 2016-07-11 Impact factor: 5.100
Authors: Alicia J Angelbello; Jonathan L Chen; Jessica L Childs-Disney; Peiyuan Zhang; Zi-Fu Wang; Matthew D Disney Journal: Chem Rev Date: 2018-01-11 Impact factor: 60.622