The HIV-1 frameshift-stimulating (FSS) RNA, a regulatory RNA of critical importance in the virus' life cycle, has been posited as a novel target for anti-HIV drug development. We report the synthesis and evaluation of triazole-containing compounds able to bind the FSS with high affinity and selectivity. Readily accessible synthetically, these compounds are less toxic than previously reported olefin congeners. We show for the first time that FSS-targeting compounds have antiviral activity against replication-competent HIV in human cells, including a highly cytopathic, multidrug-resistant strain. These results support the viability of the HIV-1 FSS RNA as a therapeutic target and more generally highlight opportunities for synthetic molecule-mediated interference with protein recoding in a wide range of organisms.
The HIV-1 frameshift-stimulating (FSS) RNA, a regulatory RNA of critical importance in the virus' life cycle, has been posited as a novel target for anti-HIV drug development. We report the synthesis and evaluation of triazole-containing compounds able to bind the FSS with high affinity and selectivity. Readily accessible synthetically, these compounds are less toxic than previously reported olefin congeners. We show for the first time that FSS-targeting compounds have antiviral activity against replication-competent HIV in human cells, including a highly cytopathic, multidrug-resistant strain. These results support the viability of the HIV-1 FSS RNA as a therapeutic target and more generally highlight opportunities for synthetic molecule-mediated interference with protein recoding in a wide range of organisms.
There is
a rapidly expanding
recognition that RNA is of high significance as a therapeutic target.[1,2] In addition to the importance of coding regions of mRNA, noncoding
RNA sequences (including miRNA, lncRNA, and others) and structured,
regulatory regions of RNA found within coding sequences have been
demonstrated to have critical roles in human health and disease. Recent
work has revealed the utility of RNA-targeted compounds in the treatment
of splicing diseases,[3−8] and as candidate antibiotics via modulation of
bacterial riboswitch activity.[9] Finally,
RNAs of potential therapeutic significance have also been identified
in pathogenic agents, including viruses such as HIV, SARS, and HTLV.[10]One RNA sequence that is particularly
attractive both as a model
system for fundamental studies of RNA-targeted compound design and
as a potential drug target is a highly stable RNA hairpin that serves
as a regulatory element in the translation of Gag and Gag-Pol polyproteins
in HIV-1.[11,12] Specifically, the mRNA encoding these proteins
carries a stop codon at the end of the gag gene.
In a significant majority of cases (90–95%), the ribosome reads
to the end of the gag reading frame, reaches this
stop codon, and produces only Gag, a polyprotein that is further processed
to yield HIV-1 structural proteins. However, in approximately 5–10%
of all gag-pol mRNA translation events, interaction
of the ribosome with a particular stemloop within the gag-pol transcript (the HIV-1 Frameshift Stimulating Stemloop, or HIV-1
FSS RNA) causes it to slip back one nucleotide on an upstream U-rich
“slippery sequence” (Figure ). When the ribosome resumes the process
of translation, it does so in a new reading frame (a −1 ribosomal
frameshift[13]). As such, it no longer recognizes
the gag stop codon and instead continues to process
the mRNA until full-length Gag-Pol is produced. Pol consists of vital
enzymes of HIV-1 including HIV protease, reverse transcriptase, and
integrase. It is absolutely required for the production of infectious
virons. Although a detailed mechanism of frameshifting remains elusive,
the high conservation of the FSS RNA sequence in HIV-1 isolates[14] combined with experimental work demonstrating
changes in frameshifting frequency as a function of mutations to this
RNA[15,16] suggest that its presence and structure
are critical. Alterations in the Gag:Gag-Pol ratio in either direction
have been found to substantially reduce the infectivity of product
virions. Thus, compounds able to bind this RNA and influence frameshifting
have been posited as a new class of anti-HIV agents.[11,12]
Figure 1
Primary
and secondary structure of the HIV-1 frameshift element
(group M clade D sequence), based on SHAPE data.[25] The slippery sequence is indicated in red, and the frameshift-stimulating
stemloop (FSS) employed in these studies is highlighted with a yellow
box.
Primary
and secondary structure of the HIV-1 frameshift element
(group M clade D sequence), based on SHAPE data.[25] The slippery sequence is indicated in red, and the frameshift-stimulating
stemloop (FSS) employed in these studies is highlighted with a yellow
box.To address the general problem
of identifying selective binders
for biomedically relevant RNA targets, we have developed a discovery
protocol based on initial rapid identification of hit molecules using
Resin-Bound Dynamic Combinatorial Chemistry (RBDCC)[17,18] followed by an iterative medicinal chemistry approach to affinity
maturation. As part of this process, it is necessary to convert the
disulfide moiety used as a “mutatable” group in RBDCC
to a nonreducible functional group suitable for further studies in
a biological context. Thus far, we have focused on the use of olefins
as disulfide isosteres (or, more appropriately, “bioisosteres”[19] since the geometry is by no means identical).
This strategy has resulted in compounds with relevant activity in vitro and in vivo, including compounds
targeting the HIV-1 FSS.[20−22] Our prior efforts toward enhancing
the affinity and selectivity of HIV-1 FSS-targeted compounds via directed analog synthesis culminated in the recent disclosure
of a series of N-methyl amides with exceptionally
high affinity to and selectivity for the FSS RNA.[22] Compound 2, for example (Figure ), was found to have a dissociation
constant (KD) for the FSS RNA of 13.0
± 5.0 nM via surface plasmon resonance, approximately
5-fold tighter binding than 1. Compound 2 was also found to inhibit HIV infectivity in a pseudotyped (single-cycle)
HIV assay. We have also successfully employed this approach to address
a sequence of relevance to triplet repeat-mediated splicing disease
(Myotonic Dystrophy Type 1, DM1),[23] yielding
compounds with activity in a DM1mouse model.[24]
Figure 2
Left:
Comparison of side-chain bridged dipeptides linked by disulfide
(top), olefin (middle), or 1,4-triazole (bottom). Surfaces are colored
by electrostatic potential. Right: Chemical structure of compounds 1–7.
Left:
Comparison of side-chain bridged dipeptides linked by disulfide
(top), olefin (middle), or 1,4-triazole (bottom). Surfaces are colored
by electrostatic potential. Right: Chemical structure of compounds 1–7.While the affinities and activities of RNA-binding compounds
we
have synthesized to date incorporating an olefin bioisostere have
been encouraging, we sought an alternative disulfide replacement that
would permit simpler and more readily scalable synthesis. To that
end, the 1,4-triazole substructure seemed particularly attractive,
given the highly robust metal-catalyzed Huisgen cycloaddition conditions
that have been developed for its synthesis.[26,27] Despite the immense body of literature on the use of triazoles in
chemistry, including in peptidomimetics,[28,29] and in RNA-binding compounds,[30−32] there are relatively few examples
of this substructure serving as a bioisosteric replacement for a disulfide.
In addition to its first reported use in 2004,[33] Suga and colleagues successfully employed intramolecular
triazole formation as a disulfide replacement in the context of bicyclic
peptides,[34] and a ruthenium-catalyzed cyclization
strategy has been described by the Kolmar group for the synthesis
of 1,5-disubstituted triazole analogs of cyclic disulfide-containing
trypsin inhibitors.[35] In the latter case,
inhibitory activity of the triazole peptidomimetic was found to be
similar to that of the parent disulfide. Subtle differences between
the native disulfide and isosteric triazole have also been reported
to have a negative effect on biological activity, however, causing
unfolding of insulinglargine analogs.[36]The structural similarities of 1,4-disubsitutedtriazoles,
disubstituted
olefins, and disulfides are readily apparent from DFT calculations
(Figure ); however,
differences are also obvious. With its calculated local minimum 86.6°
torsional angle, consistent with the well-established reference value
of 90° for l-cystine,[37] the
disulfide bond torsional landscape is quite different from either
the olefin or triazole. The distance between flanking alpha carbons
is most similar for the trans olefin (5.77 Å vs 5.74 Å for
the disulfide). This distance is slightly shorter for the cis olefin
(5.32 Å), and over an Ångstrom longer for the triazole (6.94
Å). Electrostatic potential surfaces are also quite different
for the three substructures, with the triazole presenting the most
overall negatively charged surface. Nonetheless, pendant functionality
is capable of being positioned in a similar orientation, and thus
we anticipated that the 1,4-triazole would be a suitable disulfide
and olefin substitute in HIV-1 FSS binding compounds.
Results and Discussion
Peptide precursors to compounds 3–7 were synthesized in the solid phase using methods analogous to our
previously reported results.[20−22] Synthesis of 1,4-triazole analogs
also provided us with the first opportunity to synthesize and test
nonsymmetrical N-methylation patterns (e.g., compounds 4, 5, and 6),
as previous attempts to accomplish this using on-bead olefin cross-metathesis
had met with modest yields, at best. The Cu(I)-catalyzed Huisgen cycloaddition
was conducted on resin using methodology described by Meldal and co-workers.[38] In each case, this method provided the desired
compound following cleavage from the resin and concomitant deprotection
as a single major peak by analytical HPLC.In previous work,
we have monitored binding-dependent quenching
of benzo[g]quinoline fluorescence to determine dissociation constants.[21,22] Unfortunately, initial attempts to measure the affinity of triazole-containing
compounds for the HIV-1 FSS RNA by fluorescence titration were unsuccessful
due to irreversible photobleaching of the compounds. Therefore, we
measured binding constants by surface plasmon resonance (SPR; Table ). In this assay,
RNA is immobilized on the SPR chip while the compound is flowed through
in solution. This allows for determination of kinetic rate constants
of binding as well as thermodynamic parameters.[39] A comparison of the measured affinities for 1 and 3 indicates that substitution of triazole for olefin
has no effect on affinity (within error). N-methylation
of 3 had only a modest effect on affinity; compound 7 displayed the highest affinity with a binding constant 6-fold
tighter than 3. As with previously described N-methyl amide analogs such as 2, affinity
enhancements are largely driven by an increase in on-rate (ka). This is consistent with the hypothesis that N-methylation reduces the complexity of the ground state
conformational ensemble and favors a conformer or conformers able
to bind the RNA, and with the known propensity of N-methylation to alter peptide conformation.[40] In order to test selectivity, SPR measurements were made using a
competitive assay, in which a mixture of the compound plus a 5-fold
excess of yeast tRNA (relative to compound concentration) in solution
was flowed over the SPR chip. Of course, this constitutes an even
larger excess of tRNA over the amount of HIV-1 FSS RNA immobilized
on the sensor chip, and as such represents a stringent assay. We observed
that, of the compounds tested, only 7 showed a significant
change in KD in the presence of tRNA.
Table 1
Binding Affinities and Kinetics for
Compounds 1–7 Binding the HIV-1 FSS
RNA As Measured by SPR
compound
ka (1/M*s)
kd (1/s)
KD (nM)
KD in the presence
of 5× tRNA (nM)
1a
(2.2 ± 0.8) ×
104
(1.4
± 0.1) ×
10–3
71
ND
2b
(1.6 ± 0.7) ×
105
(1.9
± 0.5) ×
10–3
13 ± 5
ND
3
(8.8 ±
3) × 104
(6.8 ± 1) × 10–3
97 ± 20
32 ± 6
4
(5.3 ± 2) × 104
(3.3 ± 1) × 10–3
68 ± 7
62 ± 20
5
(1.2 ± 0.3) ×
105
(6.2
± 0.4) ×
10–3
59 ± 10
31 ± 5
6
(1.5 ± 0.4) ×
105
(4.6
± 0.4) ×
10–3
41 ± 10
91 ± 5
7
(1.9 ± 0.3) ×
105
(3.0
± 0.5) ×
10–3
16 ± 4
130 ± 20
Values previously
reported in ref (21).
Values previously reported
in ref (22). Error
is derived as the
standard deviation from the mean of the averaged individual fits.
Values previously
reported in ref (21).Values previously reported
in ref (22). Error
is derived as the
standard deviation from the mean of the averaged individual fits.Cellular permeability and toxicity
were assessed in HEK293T cells.
Toxicity was first examined via WST-1 assay.[41] All triazole-containing compounds were significantly
less toxic than previously reported compounds (Figure ; previous data for 2 are shown
for reference). Compound 5 in particular was essentially
nontoxic up to the highest examined concentration of 110 μM.
Although previous experiments have produced clustering of toxicity
among closely related analogs binding the HIV-1 FSS, triazole-containing
compounds were found to have a spread of toxicities. Differences between
compounds 5 and 6 were particularly unexpected
as these compounds are chemically similar; while compound 5 has a toxic dose, TD50, of ≥110 μM, compound 6 was found to be roughly twice as toxic (TD50 =
60 μM). Flow cytometry revealed that the permeability of triazole
analogs largely followed their methylation pattern, with tetra-N-methyl compound 7 displaying the greatest
cell permeability, and the non-N-methylated compound 3 the least (Supporting Information). These results are consistent with trends previously observed for
compounds 1 (unmethylated olefin) and 2 (tetramethylated
olefin), which are provided in the figure for reference.
Figure 3
Reduced toxicity
relative to 2 in HEK293T cells exhibited
by triazole analogs as measured by WST-1 assay. Data for compound 2 is from ref (22) and has been normalized to the absorbance range observed for compounds 3–7. Lines represent logistic fits of
the data for each compound. The assay was run in triplicate; reported
error is the standard deviation from the mean for each condition.
Reduced toxicity
relative to 2 in HEK293T cells exhibited
by triazole analogs as measured by WST-1 assay. Data for compound 2 is from ref (22) and has been normalized to the absorbance range observed for compounds 3–7. Lines represent logistic fits of
the data for each compound. The assay was run in triplicate; reported
error is the standard deviation from the mean for each condition.We further evaluated compound
selectivity by examining the effect
of 0, 6.83, and 20 μM concentrations of compound 7 on HEK293T cells by RNaseq. A total of 17 872 transcripts
were analyzed for each condition. The set of significantly altered
genes relative to control (0 μM compound) for the two concentrations
was compared using the Web tool InteractiVenn.[42] One of the 6.83 μM-treated samples behaved as an
outlier, and therefore the analysis was conducted both with and without
considering this sample. Disregarding the outlier sample revealed
53 transcripts with a statistically significant change in both the
6.8 and 20 μM compound-treated conditions (Figure ). Of these, only two showed
a greater than 2-fold change (considered biologically significant[4]) in both sets: Genbank IDs RWDD4P2 and ElF4A1P2, both
pseudogenes. Inclusion of the outlier sample in the analysis resulted
in only a subset (13) of these transcripts called differentially expressed.
Therefore, although we cannot a priori conclude that
inclusion of the outlier is not biologically relevant, its exclusion
produces the most conservative estimate of compound 7’s effect on HEK293T cells. The 20 μM-treated samples
showed a few additional transcripts with significant changes. These
included the expressed genes early growth response 1 (EGR1; log2(fold change) = 1.69), microtubule associated protein 1 light
chain 3 beta 2 (MAP1LC3B2; log2(fold change) = 5.56), phosphatidylinositol
4-kinase type 2 beta (PI4KIIB; log2(fold change) = −1.66),
and ubiquitin specific peptidase 41 (USP41; log2(fold change
= −7.85). While the tested concentration is lower than that
at which changes in WST-1 metabolism indicative of toxicity were observed
(vide supra) for compound 7, these additional
changes may reflect compound-dependent increases in cell stress and
will be examined further. Overall, however, the low number of significantly
altered transcripts, and in particular the near absence of expressed
genes altered, highlights the selectivity of compound 7 despite its status as the least-selective of the triazole analogs
studied, based on tRNA competition SPR.
Figure 4
RNAseq data for compound 7 in HEK293T cells revealing
53 transcripts altered with statistical significance in both 6.8-
and 20-μM-treated sets of samples. Of these, only RWDD4P2 and ElF4A1P2, both
pseudogenes, show consistent changes >2-fold (log2(n) = ± 1). This assay was run in triplicate.
RNAseq data for compound 7 in HEK293T cells revealing
53 transcripts altered with statistical significance in both 6.8-
and 20-μM-treated sets of samples. Of these, only RWDD4P2 and ElF4A1P2, both
pseudogenes, show consistent changes >2-fold (log2(n) = ± 1). This assay was run in triplicate.We next examined the effect of
triazole-containing FSS RNA binders
on pseudotyped HIV virion production and infectivity. In this system,[43] HEK293T producer cells are first transfected
with a proviral HIV plasmid modified such that the env gene is deleted, and the nef gene is replaced with
green fluorescent protein (GFP) to assist with virion detection and
quantitation. Cotransfection of a vesicular stomatitis virus type
G (VSV-G) plasmid provides the envelope functionality in trans to
enable production of single-cycle infectious virions. Visualizing
GFP production through fluorescence microscopy also allows for a qualitative
assessment of virion production in producer cells. Virions produced
after a 24-h incubation with various concentrations of compounds were
harvested and used to infect TZM-bl reporter cells with virion quantities
first normalized via a p24 ELISA assay. TZM-bl cells
express luciferase upon infection with HIV[44] (via the HIV LTR promoter), providing a quantitative
readout of infectivity. Indinavir, an FDA-approved protease inhibitor,[45] was employed as a positive control. We observed
that compounds 3–7 substantially
decreased virion production in a concentration dependent manner, as
evidenced by a decrease in GFP fluorescence (Supporting Information). Virions produced were less infectious, and infectivity
decreased strongly with increasing concentration of the compound (Figure a). New compounds
were slightly less effective than previously reported compound 2; this is offset by their significantly lower toxicity.
Figure 5
(a) Infectivity
of pseudotyped HIV-1 reduced by triazoles 3–7. Error represents the standard deviation
on the mean; each condition was run in triplicate. (b) Compounds induce
production of pseudotyped HIV virions with altered Gag/Gag-Pol ratios,
consistent with increased frameshifting. Western blots were probed
with an anti-p24 antibody; all bands above p55 (Gag) are presumed
to be processed from p160 (Gag-Pol).
(a) Infectivity
of pseudotyped HIV-1 reduced by triazoles 3–7. Error represents the standard deviation
on the mean; each condition was run in triplicate. (b) Compounds induce
production of pseudotyped HIV virions with altered Gag/Gag-Pol ratios,
consistent with increased frameshifting. Western blots were probed
with an anti-p24 antibody; all bands above p55 (Gag) are presumed
to be processed from p160 (Gag-Pol).Western blots were used to assess the effect of FSS-binding
compounds
on the Gag/Gag-Pol ratio. Using a p24 antibody as a probe, all new
compounds were found to increase the amount of Gag-Pol relative to
Gag, with 5, 6, and 7 having
the strongest effect (Figure b). We also examined lysates from compound-treated producer
cells by Western blot. No significant changes in Gag/Gag-Pol ratios
were observed relative to control, suggesting that most of the excess
Gag-Pol and its products are packaged into virions (Supporting Information).To confirm the activity of
compounds in a replication-competent
virus, we examined the effect of compounds 2, 3, and 7 on propagation of HIVIIIB, a common
laboratory strain,[46−48] in the humanMT-2,[49,50] T-cell line.
Cells were first infected with the virus for 8 h in the absence of
the compound, then spun down and resuspended in fresh media. Varying
concentrations of compounds were added, with each condition tested
in triplicate. In preliminary experiments with compounds 2, 3, and 7, one-half of the medium was
harvested at 2 days postinfection and replaced with an equivalent
volume of medium ± compound. The medium removed was examined
for viral particles using a p24 ELISA assay. This procedure was repeated
at days 4 and 6 postinfection. These experiments revealed a dose-
and time-dependent inhibition of HIVIIIB for all three
compounds (Supporting Information), with
very low (compound 3) or undetectable (compounds 5 and 7) levels of virus present for the highest
doses at days 4 and 6 postinfection. Subsequently, full dose–response
profiles were obtained for compounds 3, 4, 5, and 7, at 6 days postinfection (Figure ). IC50 values were obtained via four-parameter logistic
fits of these data. They indicate similar potencies for 3, 4, and 5 (15.33, 10.17, and 14.23 μM,
respectively), and a somewhat higher potency for compound 7 (4.86 μM). Decreases in virus were not due to inhibition of
cell growth; indeed, more cells were present in the compound-treated
wells than in the untreated but virus-infected wells at day 6 (Supporting Information), as measured by Alamar
blue assay. This effect is striking and consistent with compound-mediated
protection from virus-induced apoptosis. Such an effect has been seen
with other anti-HIV agents.[51] Compound 7 proved toxic to HIV-infectedMT-2 cells at concentrations
above 15 μM.
Figure 6
Production of infectious HIV-1 IIIB in MT-2 cells inhibited
by
HIV-1 FSS-targeted compounds. All concentrations (x axis) in μM; HIV was quantified by p24 ELISA assay (y axis). No 15 μM concentration was tested for compound 4. Error represents the standard deviation on the mean; each
condition was run in triplicate.
Production of infectious HIV-1 IIIB in MT-2 cells inhibited
by
HIV-1 FSS-targeted compounds. All concentrations (x axis) in μM; HIV was quantified by p24 ELISA assay (y axis). No 15 μM concentration was tested for compound 4. Error represents the standard deviation on the mean; each
condition was run in triplicate.Because FSS-targeted compounds inhibit HIV-1 via a different mechanism than existing antivirals, we also examined
the ability of 3, 4, 5, and 7 to inhibit a multidrug-resistant strain of the virus. The
patient-derived strain HIV-1 AD.MDR01 is resistant to a broad range
of protease inhibitors, nucleoside reverse transcriptase inhibitors,
and nonnucleoside reverse transcriptase inhibitors. It is also highly
cytopathic.[52,53] Using a similar protocol to that
employed for the HIVIIIB experiments detailed above, HIV-1
AD.MDR01 infected humanMT-2 cells were treated with 15 μM doses
of 3, 4, 5, and 7 and evaluated both for production of the virus (p24 ELISA) and cell
survival (Alamar blue) at 6 days postinfection. We were gratified
to observe that compound 7 inhibited this strain, and
both 4 and 7 provided statistically significant
protection against its cytopathic effect (Figure ).
Figure 7
Multidrug-resistant HIV strain HIV-1 AD.MDR01
at a concentration
of 15 μM (left) inhibited by compound 7. Right:
both compounds 7 and 4 provide statistically
significant improvement in survival of multidrug-resistant infected
MT-2 cells (right; asterisks indicate statistical significance vs
no compound control, as determined by one-way ANOVA with pairwise
posthoc Dunnett’s multiple comparisons test). Data acquired
at day 6 postinfection. Error represents the standard deviation on
the mean; each condition was run in triplicate.
Multidrug-resistant HIV strain HIV-1 AD.MDR01
at a concentration
of 15 μM (left) inhibited by compound 7. Right:
both compounds 7 and 4 provide statistically
significant improvement in survival of multidrug-resistant infected
MT-2 cells (right; asterisks indicate statistical significance vs
no compound control, as determined by one-way ANOVA with pairwise
posthoc Dunnett’s multiple comparisons test). Data acquired
at day 6 postinfection. Error represents the standard deviation on
the mean; each condition was run in triplicate.There is a continuing need to develop new anti-HIV therapies,
and
particularly to explore novel therapeutic targets.[54] The HIV frameshift has been recognized for some time as
an attractive potential avenue to viral inhibition, but previously
the lack of effective strategies for sequence-selective RNA recognition
has made addressing this target a challenge. Our past work demonstrated
the feasibility of degrading the infectivity of pseudotyped HIV via FSS RNA-targeted compounds. Here, we demonstrate for
the first time that this strategy can also yield compounds able to
strongly inhibit replication of a laboratory strain of HIV in human
T cells, and one compound inhibits a highly cytopathic, multidrug-resistant
strain. This is a critical step in the validation of the HIV-1 FSS
RNA as a therapeutic target. It is also important to note that frameshifting
is not limited to HIV-1. It is widely used in many pathogenic viruses
(for example, the SARS coronavirus[55,56] and HTLV-2[57]) and also in eukaryotes, including humans.[58,13,59] These recoding processes are
all possible control points for driving therapeutic outcomes. As such,
the approach we have applied to frameshifting in HIV-1 should be extendable
to synthetic molecule control over a broad range of recoding events.
In the broader context of RNA recognition, this work also demonstrates
that the use of 1,4-disubsitutedtriazoles as disulfide bioisosteres
is effective.
Methods
Density Functional
Theory (DFT) Calculations
Structures
depicted in Figure were minimized with GAMESS[60] version
1 May 2013 (R1) using the B3LYP[61] density
functional method and the 6-31g(d) basis set. van der Waals surfaces
colored by electrostatic potential were visualized with Avogadro 1.1.1.
Synthesis of Compounds 3–7
Compounds were synthesized using standard solid phase peptide protocols.
Wang Resin (0.22 mmol/gram for alkyne containing monomers, 0.68 mmol/gram
for azide containing monomers) was activated with carbonyl diimidazole
(CDI, 10 equiv) in dimethylformamide (DMF) for 4 h followed by treatment
with 1,3-diaminopropane (10 equiv) in DMF for 4 h. Amino acids were
coupled using 3.1 equiv of Fmoc-AA–OH, where AA is Phe, Pro,
Pra, Aha, or N-Me-Phe; 2.9 equiv of HATU, and 5 equiv of DIPEA in
DMF for 2 h. Deprotection of Fmoc was accomplished using 20% piperidine
in DMF for 1 h. Where N-Me amino acids were needed that were not commercially
available, Fmoc was first removed using standard methods followed
by treatment of the resin with 3 equiv of 2-nitrobenzenesulfonyl chloride
(NOSYL-Cl) and 5 equiv of collidine in DCM for 2 h. This activated
resin was then treated with 8 mL of TMS-diazomethane and 0.5 mL of
methanol in DCM overnight. Methylation was monitored by HPLC. To remove
the NOSYL group, resin was treated with 3 equiv of 2-mercaptoethanol
and 5 equiv of DBU for 1 h.[62] The end of
each monomer was capped with benzo[g]quinoline. To form the 1,4 substituted
triazole ring, the azide-containing peptide was cleaved with 98% trifuoroacetic
acid (TFA), 1% triethyl silane (TES), and 1% water, and ether was
precipitated to yield a crude yellow solid that was used without further
purification. Next, the resin-bound alkyne was dried under a vacuum,
and washed three times with dry THF. CuI (2 equiv) and DIPEA (50 equiv)
were added to the vessel in anhydrous THF. After mixing for 15 min,
azide (2 equiv based on resin loading) was added, and the resulting
green/brown solution mixed overnight. The resin was then washed three
times with THF, three times with DCM, three times with DMF, and three
times with DCM, then cleaved with 98% TFA, 1% TES, and 1% water for
2 h followed by rotary evaporation and ether precipitation.
Surface
Plasmon Resonance
SPR was conducted using a
Biacore X (Biacore, Inc.) instrument. Streptavidin was immobilized
to 7500 RU in both flow cells using EDC/NHS coupling to a CM5 chip
(GE). The surface was then blocked with ethanolamine. Next, 50 μM
5′-biotinHIV-1 FSS (obtained as an HPLC-purified sample from
Integrated DNA Technologies, Inc.) was refolded in 10 mM HEPES and
150 mM NaCl at pH 7.4 by heating at 98 °C in a heater block for
2 min then cooled to RT and immobilized on one flow cell of the SPR
chip to a density of 1100 RU. The control flow cell was then blocked
with an injection of 50 μM biotin in 10 mM HEPES and 150 mM
NaCl at pH 7.4. Compounds were injected at a flow rate of 50 μL/min
in 10 mM HEPES, 150 mM NaCl, and 0.005% tween at pH 7.4 for 1 min.
Each injection was repeated twice for consistency. Each trace was
fit individually to a Langmuir model.
WST-1 Cytotoxicity Assay
HEK293T cells were plated
at 1 × 104 cells/well in a 96-well plate in DMEM with
10% fetal bovine serum and 1% penicillin-streptomycin at 37 °C.
After cells were allowed to adhere for 6 h, they were then incubated
with the compound for 24 h in triplicate. A total of 10 μL of
WST-1 premix (Clontech) was added and incubated for 1 h followed by
measurement using a PerkinElmer EnSpire plate reader. Lines provided
are a logistical fit of the data.
Flow Cytometry
HEK293T cells were grown in DMEM with
10% fetal bovine serum and 1% penicillin–streptomycin at 37
°C to 80% confluency in a 12-well plate and treated with the
compound for 24 h. Cells were trypsinized, pelleted, and washed twice
with DPBS (Gibco). Cells were then resuspended in 300 μL of
ice cold DPBS and incubated with 5 μL of propidium iodide to
stain dead cells. A total of 10 000 events were collected using
a BD LSR-II flow cytometer.
RNASeq
HEK293T cells were plated
in six-well plates
and allowed to grow to 80% confluencey (about 1 million cells), then
treated with 0, 6.83, and 20 μM 7 for 24 h in triplicate.
Cells were then processed according to validated protocols developed
by the University of Rochester Genomics Research Center and analyzed
for RNAseq (Illumina). Sequenced reads were cleaned according to a
rigorous preprocessing workflow (Trimmomatic-0.32[63]) before being mapped to the human reference genome (GRCh38.p2)
with STAR-2.4.2a.[64] Cufflinks2.0.2[65] with gencode version 23 human gene annotations
was then used to perform differential expression analysis with a false
discovery rate (FDR) cutoff of 0.05 (95% confidence interval).
Pseudotyped
HIV-1 Infectivity
The antiviral activity
of all RNA-targeted compounds was measured by single-round infectivity
assay with pseudotyped HIV-1 using HEK293T producer cells. The HIV-1
proviral vector (pDHIV3-GFP) includes all HIV-1NL4–3 genes
except nef (replaced with GFP) and env, thus preserving gag and pol,
and the frameshift required for production of the Gag-Pol polyprotein.
A single-round infectivity assay was conducted by transient transfection
of the viral vector with VSV-G coat protein vector at a ratio of 1:0.5
using Fugene HD (Promega). The virus producer cells were dosed with
compounds 4 h after transfection, and viral particles were harvested
from the media 24 h after transfecting by filtering through a 0.45-μm
syringe filter. Viral load was normalized with a p24 ELISA (PerkinElmer).
The infections were performed using TZM-bl reporter cells containing
stably integrated firefly luciferase, the expression of which is driven
by the HIV-LTR promoter. Therefore, luciferase is expressed upon successful
HIV infection. Triplicate infections in 96-well plates at 10 000
cells/well with 500 pg p24/well proceeded for 48 h before the addition
of SteadyGlo reagent (Promega) to each well for 30 min. Luminescence
was measured as a quantitative metric for changes in viral infectivity
in the presence of a compound.
Effect of Compounds on
Replication-Competent HIV IIIB
MT-2 cells were obtained from
the NIH AIDS Reagent Program and grown
in RPMI 1640 media supplemented with 10% fetal bovine serum. MT-2
cells were seeded in a T-75 cell culture flask at 3 × 106 cells/10 mL and were infected with HIVIIIB at
a concentration of 56.5 ng p24/mL. Infection was allowed to proceed
for 8 h in a humidified 37 °C incubator. Cells were then collected
by centrifugation at 250g for 5 min. Excess virus
was removed, and cells were washed once with dPBS. Cells were then
resuspended in fresh growth media and plated in a 48-well culture
dish at 1 × 105 cells/well. Compounds were added to
cells in triplicate to final concentrations of 20, 6, or 0.6 μM
such that the total volume was brought to 1 mL/well. On days 2 and
4 postinfection, 0.5 mL of supernatant was collected from each well
and replaced with 0.5 mL of fresh media ± compound of the corresponding
concentrations given above. On day 6 postinfection, 0.7 mL of supernatant
was collected, and 30 μL of Alamar Blue Cell Viability reagent
(ThermoFisher) was added to each well. Alamar Blue fluorescence was
measured at ex/em 535/595 with a 30 nm bandwidth. All supernatant
was frozen at −80 °C until subsequent analysis of viral
load via p24 ELISA according to the manufacturer’s
instructions (Advanced Bioscience Laboratories). Alamar Blue and ELISA
plates were read on a DTX880 Mulitmode Detector (Beckman Coulter).
Authors: Martin Markowitz; Hiroshi Mohri; Saurabh Mehandru; Anita Shet; Leslie Berry; Roopa Kalyanaraman; Alexandria Kim; Chris Chung; Patrick Jean-Pierre; Amir Horowitz; Melissa La Mar; Terri Wrin; Neil Parkin; Michael Poles; Christos Petropoulos; Michael Mullen; Daniel Boden; David D Ho Journal: Lancet Date: 2005 Mar 19-25 Impact factor: 79.321
Authors: L Ratner; W Haseltine; R Patarca; K J Livak; B Starcich; S F Josephs; E R Doran; J A Rafalski; E A Whitehorn; K Baumeister Journal: Nature Date: 1985 Jan 24-30 Impact factor: 49.962
Authors: Peter C Gareiss; Krzysztof Sobczak; Brian R McNaughton; Prakash B Palde; Charles A Thornton; Benjamin L Miller Journal: J Am Chem Soc Date: 2008-12-03 Impact factor: 15.419
Authors: Leslie O Ofori; Thomas A Hilimire; Ryan P Bennett; Nathaniel W Brown; Harold C Smith; Benjamin L Miller Journal: J Med Chem Date: 2014-01-15 Impact factor: 7.446
Authors: Viktoriya S Anokhina; John D McAnany; Jessica H Ciesla; Thomas A Hilimire; Netty Santoso; Hongyu Miao; Benjamin L Miller Journal: Bioorg Med Chem Date: 2019-05-09 Impact factor: 3.641
Authors: Ivan A Belashov; David W Crawford; Chapin E Cavender; Peng Dai; Patrick C Beardslee; David H Mathews; Bradley L Pentelute; Brian R McNaughton; Joseph E Wedekind Journal: Nucleic Acids Res Date: 2018-07-27 Impact factor: 16.971