Ahmed Mahas1, Qiaochu Wang1, Tin Marsic1, Magdy M Mahfouz1. 1. Laboratory for Genome Engineering and Synthetic Biology, Division of Biological Sciences, 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia.
Abstract
Cell-free biosensors can detect various molecules, thus promising to transform the landscape of diagnostics. Here, we developed a simple, rapid, sensitive, and field-deployable small-molecule detection platform based on allosteric transcription factor (aTF)-regulated expression of a clustered regularly interspaced short palindromic repeats (CRISPR) array coupled to Cas12a activity. To this end, we engineered an expression cassette harboring a T7 promoter, an aTF binding sequence, a Cas12a CRISPR array, and protospacer adjacent motif-flanked Cas12a target sequences. In the presence of the ligand, dissociation of the aTF allows transcription of the CRISPR array; this leads to activation of Cas12a collateral activity, which cleaves a single-stranded DNA linker to free a quenched fluorophore, resulting in a rapid, significant increase of fluorescence. As a proof of concept, we used TetR as the aTF to detect different tetracycline antibiotics with high sensitivity and specificity and a simple, hand-held visualizer to develop a fluorescence-based visual readout. We also adapted a mobile phone application to further simplify the interpretation of the results. Finally, we showed that the reagents could be lyophilized to facilitate storage and distribution. This detection platform represents a valuable addition to the toolbox of cell-free, CRISPR-based biosensors, with great potential for in-field deployment to detect non-nucleic acid small molecules.
Cell-free biosensors can detect various molecules, thus promising to transform the landscape of diagnostics. Here, we developed a simple, rapid, sensitive, and field-deployable small-molecule detection platform based on allosteric transcription factor (aTF)-regulated expression of a clustered regularly interspaced short palindromic repeats (CRISPR) array coupled to Cas12a activity. To this end, we engineered an expression cassette harboring a T7 promoter, an aTF binding sequence, a Cas12a CRISPR array, and protospacer adjacent motif-flanked Cas12a target sequences. In the presence of the ligand, dissociation of the aTF allows transcription of the CRISPR array; this leads to activation of Cas12a collateral activity, which cleaves a single-stranded DNA linker to free a quenched fluorophore, resulting in a rapid, significant increase of fluorescence. As a proof of concept, we used TetR as the aTF to detect different tetracycline antibiotics with high sensitivity and specificity and a simple, hand-held visualizer to develop a fluorescence-based visual readout. We also adapted a mobile phone application to further simplify the interpretation of the results. Finally, we showed that the reagents could be lyophilized to facilitate storage and distribution. This detection platform represents a valuable addition to the toolbox of cell-free, CRISPR-based biosensors, with great potential for in-field deployment to detect non-nucleic acid small molecules.
In nature,
microbes have evolved
different systems to sense external stimuli. Synthetic biology approaches[1] repurpose these systems as biosensors to specifically
and sensitively detect various targets of interest. Although various
highly sensitive and specific laboratory-based analytical methods
(including high-performance liquid chromatography and mass spectrometry)
can detect small-molecule targets, they require centralized laboratories,
expensive reagents, sophisticated equipment, and highly trained operators.
Therefore, these systems are not amenable to in-field or point-of-care
(POC) use, and samples must be transported and stored, increasing
assay complexity and the turnaround time. Therefore, developing simple,
rapid, reliable, and inexpensive detection methods is essential, especially
in resource-limited areas.[2] Bioengineers
aim to develop field-deployable biosensors with simple and minimal
handling, portability, low cost, and a fast turnaround time. This
includes the development of strategies that enhance reagent stability,
minimize pre-sample treatment, and importantly allow for simple interpretation
of results.[2,3] Thus, biosensors may offer a simpler alternative
to traditional instrument-based analytical methods for detecting various
molecules, including environmental contaminants.[4]The use of living cells in synthetic biology resulted
in the rapid
development of whole-cell biosensors (WCBs);[5] however, various drawbacks (including cell activity and cell membranes)
limit the utility of WCBs.[3] Cell-free biosensors
support similar reactions as WCBs but avoid many limitations, thus
allowing a broader range of target detection under simpler conditions.[6] Cell-free biosensors allow researchers to fine-tune,
modify, and optimize the detection components, thus enabling more
complex genetic circuits and biochemical reactions that can be difficult
to achieve using WCB systems.[6]In
general, a biosensor is composed of a sensor that recognizes
the input signal and a reporter that generates an output signal.[3] In biosensors, the sensor regulates the activation
of the reporter by controlling and suppressing its signal until the
sensor recognizes its cognate analyte. The activation of the reporter,
which only occurs when the sensor senses the cognate ligand, thus
indicates that the target is present.[6] Many
different systems have been used for synthetic biosensors.[7] For example, allosteric transcription factors
(aTFs) are commonly used to regulate gene expression based on the
change in binding affinity between an aTF and a DNA sequence upon
ligand recognition.[8] Therefore, various
aTF-based biosensors can be versatilely applied to detect a broad
range of molecules, showing high potential for sensing environmental
contaminants.[8−10]Recently, a great deal of effort has harnessed
clustered regularly
interspaced short palindromic repeats (CRISPR) and CRISPR-associated
protein (Cas) systems to develop highly efficient, sensitive, and
specific biosensing platforms. CRISPR/Cas systems are adaptive immune
mechanisms adopted by many bacteria and most archaea to defend against
invading nucleic acids.[11−13] In CRISPR-mediated immunity,
fragments of foreign nucleic acid are first added as a “spacer”
into the CRISPR RNA (crRNA) array. The crRNA array is then transcribed
and processed by Cas enzymes to generate mature crRNAs. Finally, the
crRNAs guide the Cas endonuclease to bind and cleave the target sequence.[14−16] Apart from the well-known application for CRISPR systems, especially
CRISPR/Cas9 in gene editing[17] and Cas13
for RNA manipulation,[18−21] an ever-expanding field of CRISPR-based diagnostics has resulted
in the development of numerous nucleic acid detection methods with
unprecedented specificity, programmability, and ease of use.[22,23] Among the diverse CRISPR systems, Cas12 and Cas13 systems have primarily
been applied for diagnostics as these systems exhibit collateral (or
subsequent) activity upon target recognition. Although this could
complicate some assays, the “collateral” activity is
the core function of many CRISPR-based nucleic acid diagnostic assays.[24,25]All CRISPR/Cas proteins require a guide RNA (gRNA) or crRNA
to
function in a sequence-specific manner. The activity of some CRISPR/Cas
systems, such as Cas9, requires a crRNA and a trans-activating crRNA
(tracrRNA).[26] However, other systems, including
Cas12a, require only a short crRNA without the need for tracrRNA,
facilitating their use in vivo and in vitro.[27] In addition, unlike Cas9, Cas12 can solely process
pre-crRNAs (or the CRISPR array) and generate mature functional crRNAs
without help from host factors.[28] Such
activity has facilitated the simple design and expression of multiple
crRNAs for multiplex targeting.[29]Successful targeting of a DNA sequence of interest with a DNA-targeting
CRISPR/Cas system requires the protospacer adjacent motif (PAM), a
short sequence flanking the target sequence.[30] Therefore, a target sequence perfectly matching the gRNA spacer
sequence but lacking the PAM cannot be cleaved. The PAM, therefore,
plays an essential role in self versus non-self-discrimination by
CRISPR/Cas systems in their native environment.[30]Despite the vast use of CRISPR/Cas systems to detect
nucleic acids,
their utility for the detection of non-nucleic acid compounds and
small molecules is limited. Here, we developed a simple, rapid, sensitive,
and field-deployable platform for detection of small molecules based
on the aTF-regulated expression of a CRISPR array coupled with Cas12a
activity. In the presence of the ligand, in vitro transcription of the CRISPR array led to a rapid and significant
increase of a fluorescent signal mediated by Cas12a catalytic activity.
As a proof of concept, we detected different tetracycline antibiotics
with high sensitivity and specificity. We also simplified readouts
and data interpretation by using a simple, hand-held visualizer and
a mobile phone application. Finally, we demonstrated that our detection
platform is amenable to lyophilization, which supports easy storage
and distribution for potential in-field applications. Our proof-of-concept
and platform for small-molecule detection open myriad possibilities
for developing CRISPR-based biosensors for diverse small molecules,
thereby revolutionizing the use of CRISPR for non-nucleic acid diagnostics.
Experimental
Section
Plasmids and Construction of the Genetic Components
Sequences encoding the regulated transcription templates were ordered
as complementary single-stranded DNA (ssDNA) oligos (IDT) for subsequent
phosphorylation, annealing, and cloning into pUC19 backbone using
restriction-digestion cloning. ssDNA oligos were synthesized to assemble
the full-length expression cassette harboring the T7 promoter sequence,
one or two TetR operator sequences (tetO), and Cas12a crRNAs. The
full-length cassette was assembled from different dsDNA fragments
assembled and cloned into the pJBL704 (addgene# 140374) vector. Please
see the Supporting Information for further
details.
Regulated CRISPR/Assay Expression Reactions
Ligands
were commercially available, including tetracycline (GoldBio, cat:
T-101-100), doxycycline (Sigma, D3447), and oxytetracycline (GoldBio,
O-410-10) and other non-tetracycline antibiotics including kanamycin
(GoldBio, cat: K-120-100), ampicillin (GoldBio, cat: A-301-100), and
erythromycin (Sigma, E5389). The working stocks of the ligands mentioned
above were prepared by dissolving the ligands in nuclease-free water
(except for erythromycin, which was dissolved in ethanol). All reactions
were carried out in a 20 μL volume with all components listed
in final concentrations as follows (unless otherwise indicated): 1×
reaction buffer (40 mM Tris-HCl, pH 8, 8 mM MgCl2, 1 mM DTT, 40 mM NaCl, and 2 mM spermidine)
stored as 10× concentrated single-use aliquots at −80
°C, 2.5 nM transcription template, 2.5 μM TetR, 1 U/μL
RNaseOUT (Invitrogen, 10777019), 1.25 U/μL T7 RNA polymerase
(NEB, M0251), and H2O to bring the volume up to 14 μL,
and the reaction mixture was incubated for 30 min at 37 °C to
allow binding of T7 RNA polymerase to its promoter sequence and binding
of TetR to the tetO sequences. Next, 0.5 mM NTPs, 66 μg/mL heparin,
125 nM Cas12a, 250 nM ssDNA FAM reporter or 750 nM ssDNA HEX reporter,
and the ligand at indicated concentrations were added to the equilibrated
mix, and H2O was added to bring the volume up to 20 μL.
The reactions were incubated at 37 °C for the indicated reaction
time. Real-time or end-point fluorescence measurements were collected
on a microplate reader M1000 PRO (TECAN) at 2 min intervals (for real-time
measurements) using 384-well, black/optically clear flat-bottomed
plates (Thermofisher) at an excitation wavelength of 486 nm
and an emission wavelength of 510 nm for FAM fluorescence or
535 nm excitation and 556 nm emission for HEX fluorescence.
Visual
Detection
For simple visualization of fluorescence,
we used DNA reporters labeled with the HEX fluorophore (Table S1). Tetracycline detection reactions were
carried out as described above, with modifications. First, reactions
were performed in PCR tubes and were incubated at 37 °C in a
thermal cycler (C1000 touch thermal cycler, BioRad) for the indicated
time. Reaction tubes were then transferred into the P51 Molecular
Fluorescence Viewer (miniPCR), and photos were taken using a smartphone
with default settings.
Freeze-Drying of Detection Reactions
Detection reactions
were assembled as described above without the ligand and with the
addition of 50 mM sucrose (Sigma, 84097) and 250 mM D-mannitol (Sigma,
M1902). Reaction mixtures were then transferred into 1.5 mL tubes
and snap-frozen in liquid nitrogen. Following the snap-freezing, reaction
tubes were transferred to a LABCONCO Acid-Resistant CentriVap Concentrator
(supplemented with a LABCONCO CentriVap −105 °C Cold Trap
and a Vacuubrand CVC 3000 Vacuum pump) Freeze Dry System for 1–3
h of freeze-drying at a minimal temperature under a pressure of 1–10
mbar until the water was completely removed. Reactions were then rehydrated
immediately or stored at the indicated temperatures and periods. Rehydration
was accomplished with either nuclease-free H2O or H2O spiked with tetracycline with the indicated concentrations
in 20 μL reactions.
Data Processing and Visualization
All raw data were
processed and analyzed with Microsoft Excel and GraphPad Prism 9.
All graphs were generated with GraphPad 9. Schemes and illustrations
were created with Biorender.com.
Results and Discussion
Design and Construction of the Cas12a-Based
Biosensor
Whole living cells and cell-free gene expression
systems have been
utilized to develop various detection platforms.[5,31] These
systems rely mostly on the production of protein reporters in response
to ligands. The use of such systems, however, presents several challenges
that complicate their applications, especially at POC settings.[3] Cell-free systems are convenient and simple diagnostics
tools that allow easy tuning and optimization of the sensor components.
To develop a sensitive cell-free biosensor that detects small molecules,
we leveraged the aforementioned properties of Cas12a with the allosteric
regulation ability of a ligand-responsive aTF. The developed biosensor
relies on the allosteric regulation of CRISPR/Cas12a array expression
in response to a specific ligand, subsequent processing of the CRISPR
array by Cas12a, and PAM-dependent recognition of the target sequences.
To this end, we designed and constructed a regulated transcription
template comprising the following: (1) a T7 promoter sequence recognized
by the highly processive phage T7 RNA polymerase, (2) an operator
sequence recognized by an aTF, (3) a Cas12a CRISPR array that expresses
pre-crRNA (with four crRNAs), followed by a T7 terminator sequence,
and (4) Cas12a crRNA target sequences flanked by the Cas12a PAM sequence
(TTTN)[27] (Figure a).
Figure 1
Schematic of the cell-free biosensor. (a) The
transcription template
contains a T7 promoter sequence, an operator sequence, a Cas12a CRISPR
array that expresses poly pre-crRNA (4 crRNAs), followed by a T7 terminator
sequence, and target sequences for Cas12a crRNA flanked by the Cas12a
PAM sequence (TTTN). In the absence of its cognate ligand, the aTF
recognizes and binds to the operator sequence located downstream of
the T7 promoter, thus inhibiting the in vitro transcription
of the Cas12a array as well as the activity of Cas12a. (b) In the
presence of the aTF-cognate ligand, the ligand/aTF complex dissociates
from the operator sequence, allowing the activity of the T7 RNA polymerase
and the expression of the Cas12a array. The expressed pre-crRNAs are
then processed by Cas12a into mature crRNAs, which bind with Cas12a
to form active RNPs. The produced crRNAs guide the Cas12a enzyme to
the PAM-flanked targets present on the same expression template. (c)
The recognition and binding to the PAM-flanked target sequences by
the active RNPs initiate the cleavage of the dsDNA target sequences
by Cas12a and subsequent (collateral) non-specific cleavage of the
surrounding fluorescently labeled ssDNA reporter, generating a detectable
fluorescent signal.
Schematic of the cell-free biosensor. (a) The
transcription template
contains a T7 promoter sequence, an operator sequence, a Cas12a CRISPR
array that expresses poly pre-crRNA (4 crRNAs), followed by a T7 terminator
sequence, and target sequences for Cas12a crRNA flanked by the Cas12a
PAM sequence (TTTN). In the absence of its cognate ligand, the aTF
recognizes and binds to the operator sequence located downstream of
the T7 promoter, thus inhibiting the in vitro transcription
of the Cas12a array as well as the activity of Cas12a. (b) In the
presence of the aTF-cognate ligand, the ligand/aTF complex dissociates
from the operator sequence, allowing the activity of the T7 RNA polymerase
and the expression of the Cas12a array. The expressed pre-crRNAs are
then processed by Cas12a into mature crRNAs, which bind with Cas12a
to form active RNPs. The produced crRNAs guide the Cas12a enzyme to
the PAM-flanked targets present on the same expression template. (c)
The recognition and binding to the PAM-flanked target sequences by
the active RNPs initiate the cleavage of the dsDNA target sequences
by Cas12a and subsequent (collateral) non-specific cleavage of the
surrounding fluorescently labeled ssDNA reporter, generating a detectable
fluorescent signal.The T7 RNA polymerase-mediated
transcription of the Cas12a array
is regulated by the aTF in a ligand-dependent manner. That is, in
the absence of the ligand, the aTF remains bound to the operator sequence
engineered downstream of the T7 promoter, thus blocking elongation
by T7 RNA polymerase, resulting in no in vitro transcription
of the Cas12a array (Figure a). When the aTF-cognate ligand is present, the ligand–aTF
complex dissociates from the DNA, allowing the in vitro transcription of the Cas12a array via T7 RNA polymerase. Cas12a
then processes the transcribed poly-crRNA into mature crRNAs, resulting
in the formation of active ribonucleoproteins (RNPs).The processed
and mature crRNAs in the assembled RNPs guide the
Cas12a enzyme to target sequences located on the same transcription
template flanked by PAM sequences, which allow the targeting of these
sequences, but not the sequences within the CRISPR array that lack
the PAM site (Figure b). Cleavage of the dsDNA target sequences by Cas12a leads to activation
of Cas12a collateral activity and cleavage of the fluorescently labeled
ssDNA reporter molecules, resulting in a fluorescent signal (Figure c). Because Cas12a
cannot function without crRNAs, it will only cleave the target dsDNA
and the ssDNA reporter molecules upon transcription of the CRISPR
array in a ligand-dependent manner. Therefore, the increase in the
fluorescent signal mediated by Cas12a activity indicates the presence
of the ligand of interest (Figure c).Cas12a can efficiently process pre-crRNAs in vitro, and the Cas12a crRNAs are relatively short; this
allowed us to
engineer a transcription template that expresses four crRNAs targeting
four different regions on the same template. Although it is feasible
to express only one crRNA, which might be sufficient to induce enough
Cas12a-mediated signal, we reasoned that the presence of the T7 terminator
sequence would result in an extra sequence fused to the Cas12a spacer
sequence, which might interfere with Cas12a activity. Therefore, to
maximize the number of crRNAs in each transcriptional event and thus
the number of subsequent targeting events, we engineered four crRNAs
in the form of pre-crRNA to allow pre-crRNA processing by Cas12a.
aTF Regulates CRISPR Array Expression and Cas12a Activity
We first sought to confirm the experimental design and test whether
the coupling of in vitro transcription of the Cas12a
array, pre-crRNA processing, Cas12a cleavage of target sequences,
and generation of the fluorescence signal is feasible under isothermal,
single-reaction conditions. Therefore, we incubated the transcription
template with Cas12a and T7 RNA polymerase and supplemented the reaction
with ssDNA reporters susceptible to Cas12a collateral activity. Because
no Cas12a crRNAs were provided to the reaction in the form of RNA,
an increase in fluorescence signal indicates successful Cas12a targeting
and therefore successful array expression and processing. We observed
a strong and fast fluorescent signal with low nanomolar concentrations
of the transcription template and no fluorescent signal with no transcription
template control (NTC) (Figure a).
Figure 2
Assessment of aTF-regulated CRISPR array expression and Cas12a
activity. (a) Establishment of the in vitro transcription
reaction and Cas12a activity. The in vitro transcription
reactions were carried out with a transcription template expressing
Cas12a pre-crRNAs (2.5 nM DNA) or in the absence of a transcription
template in the presence of the Cas12a enzyme and ssDNA reporters.
NTC: no template control. The values are shown as mean ± SD (n = 3). (b) Assessment of the regulation activity of TetR
on the Cas12a-based sensing system. Purified TetR protein was added
to the in vitro transcription reaction at two concentrations
(2.5 and 10 μM). The values are shown as mean ± SD (n = 3). (c) Schematic of the effect of heparin on the in vitro transcription reaction. In the absence of heparin,
the T7 RNA polymerase enables multiple turnover transcription events,
generating a large number of CRISPR arrays. The addition of heparin
inhibits the multiple turnover transcription events, thus controlling
the production of CRISPR arrays. (d) Suppression activity of TetR
and heparin on the in vitro transcription reaction.
The expression system was tested with 2.5 μM TetR, 66 μg/mL
heparin, both TetR and heparin, or no TetR and no heparin control.
The values are shown as mean ± SD (n = 3).
Assessment of aTF-regulated CRISPR array expression and Cas12a
activity. (a) Establishment of the in vitro transcription
reaction and Cas12a activity. The in vitro transcription
reactions were carried out with a transcription template expressing
Cas12a pre-crRNAs (2.5 nM DNA) or in the absence of a transcription
template in the presence of the Cas12a enzyme and ssDNA reporters.
NTC: no template control. The values are shown as mean ± SD (n = 3). (b) Assessment of the regulation activity of TetR
on the Cas12a-based sensing system. Purified TetR protein was added
to the in vitro transcription reaction at two concentrations
(2.5 and 10 μM). The values are shown as mean ± SD (n = 3). (c) Schematic of the effect of heparin on the in vitro transcription reaction. In the absence of heparin,
the T7 RNA polymerase enables multiple turnover transcription events,
generating a large number of CRISPR arrays. The addition of heparin
inhibits the multiple turnover transcription events, thus controlling
the production of CRISPR arrays. (d) Suppression activity of TetR
and heparin on the in vitro transcription reaction.
The expression system was tested with 2.5 μM TetR, 66 μg/mL
heparin, both TetR and heparin, or no TetR and no heparin control.
The values are shown as mean ± SD (n = 3).Next, we assessed whether CRISPR array expression
and subsequent
Cas12a activity could be regulated with an aTF. As a proof of principle,
we chose the well-characterized tetracycline repressor (TetR) transcription
factor and its operator sequence (tetO) to test and establish the
concept.[32] The tetO sequence was engineered
downstream of the T7 promoter sequence. Therefore, the binding of
TetR to tetO would block the in vitro transcription
of the CRISPR array, resulting in little or no signal. The reactions
were set up as previously described but with the addition of purified
TetR protein in two different concentrations with vast excess relative
to the template DNA concentration. As expected, TetR regulated and
suppressed the expression of the CRISPR array, resulting in a significant
decrease in the fluorescent signal that was proportional to the concentration
of TetR added to the reaction (Figure b).However, we noticed that even with a high
concentration of TetR
(10 μM), a high background signal was still observed, probably
due to the inherent defects and leakiness in Tet-based systems[33] (Figure b). Such a high background signal would compromise the detection
assay and result in a high rate of false positives. To overcome this,
we reasoned that engineering two tetO sequences downstream of the
T7 promoter might reduce the background by acting as a transcription
roadblock, thus reducing the leakiness of the system (Figure S1A).[34] However,
we did not observe any improvement in the background when using two
tetO sequences compared to one tetO sequence (Figure S1B).We next attempted to control the background
by regulating the activity
of the T7 RNA polymerase. Heparin is a well-known RNA polymerase inhibitor
used in vitro. When heparin is absent from in vitro transcription reactions, T7 RNA polymerase mediates
multiple turnover transcription events, resulting in the production
of a large number of CRISPR arrays, which could contribute to the
high background. However, the addition of heparin to the in
vitro transcription reactions should inhibit the multiple
turnover transcription events, significantly reducing the production
of CRISPR arrays and thus the background (Figure c).[35−37] To test this, we added heparin
to the reactions in the presence or absence of low concentrations
of TetR. Supporting our hypothesis, the addition of heparin resulted
in a significantly reduced background compared to reactions without
heparin (Figure d).
In addition, we also assessed the effect of a reduced concentration
of T7 RNA polymerase on the reaction background signal. Interestingly,
we found that the use of a lower T7 RNA polymerase concentration (0.25
U/μL) resulted in a reduced background signal compared to the
use of a higher concentration (1.25 U/μL). However, a high background
signal was still observed after prolonged incubations (>1 h) (Figure S1C,D). Therefore, although we noticed
that the inhibitory effect of heparin on T7 RNA polymerase activity
slowed down the overall speed of the reaction (Figures d and S1C,D),
we chose to compromise the speed of the transcription reaction to
better control the background fluorescence. Thus, heparin was used
in all subsequent experiments in this work. We note that the detection
reactions can be run without the addition of heparin using a low T7
RNA polymerase concentration (0.25 U/μL) whenever fast response
is preferred over a minimal background signal.
Sensitive Small-Molecule
Detection with Allosteric Regulation
of Cas12a Array Transcription
Following the establishment
of the regulated Cas12a activity with the aTF TetR, we next sought
to establish the detection system by testing whether the TetR-cognate
ligand (tetracycline) can release the repression by TetR and thus
allow CRISPR array transcription and subsequent release of the fluorescent
signal mediated by Cas12a activity (Figure a). The addition of 5 μM tetracycline
to the in vitro detection reaction resulted in a
robust fluorescent signal within 2 h with no fluorescence in the no-ligand
control, indicating the ability of the system to sense and detect
the cognate ligand (Figure b). We compared the detection system using the expression
template with one or two tetO sequences, and both systems showed similar
performance (Figure S2). Therefore, the
expression cassette with one tetO was used in all subsequent experiments.
Next, we tested the performance of the detection system with a range
of tetracycline concentrations. The fluorescent signal became distinguishable
from the background at 2 μM tetracycline (Figure c).
Figure 3
Establishment of a Cas12a-based tetracycline
biosensor. (a) Schematic
of the Cas12a-based tetracycline biosensor. (b) Assessment of the
Cas12a-based tetracycline sensing system. The responsiveness of the
system was tested using 5 μM tetracycline with the addition
of TetR and heparin. The values are shown as mean ± SD (n = 3). (c) Dose–response of the biosensor with tetracycline.
The values represent three independent replicates shown as points.
Data were measured as end-point detections at 120 min. Significant
differences in fluorescent signal between the no-ligand control and
other tetracycline concentrations were determined using one-way ANOVA
with Dunnett’s multiple comparison test (****P = 0.0005; ***P < 0.0001). (d) Detection of other
tetracycline antibiotics and assessment of the biosensor’s
specificity. Different tetracycline-related (doxycycline, oxytetracycline)
and non-tetracycline (kanamycin, ampicillin, erythromycin) antibiotics
were tested together with tetracycline and the no-ligand control.
Each of the antibiotics was used at a 10 μM concentration. Data
were measured at 120 min. The values are shown as mean ± SD (n = 3). (e) Comparison between the ROSALIND system and the
Cas12a-based system. The ROSALIND detection reactions were run following
the previous protocol. The FAM ssDNA reporter was used in the Cas12a-based
system, and the two systems were detected at an excitation wavelength
of 486 nm and an emission wavelength of 510 nm. The ROSALIND
detection reaction showed similar kinetics in response to 12.5 μM
tetracycline as in the previous report (right panel). The values are
shown as mean ± SD (n = 3).
Establishment of a Cas12a-based tetracycline
biosensor. (a) Schematic
of the Cas12a-based tetracycline biosensor. (b) Assessment of the
Cas12a-based tetracycline sensing system. The responsiveness of the
system was tested using 5 μM tetracycline with the addition
of TetR and heparin. The values are shown as mean ± SD (n = 3). (c) Dose–response of the biosensor with tetracycline.
The values represent three independent replicates shown as points.
Data were measured as end-point detections at 120 min. Significant
differences in fluorescent signal between the no-ligand control and
other tetracycline concentrations were determined using one-way ANOVA
with Dunnett’s multiple comparison test (****P = 0.0005; ***P < 0.0001). (d) Detection of other
tetracycline antibiotics and assessment of the biosensor’s
specificity. Different tetracycline-related (doxycycline, oxytetracycline)
and non-tetracycline (kanamycin, ampicillin, erythromycin) antibiotics
were tested together with tetracycline and the no-ligand control.
Each of the antibiotics was used at a 10 μM concentration. Data
were measured at 120 min. The values are shown as mean ± SD (n = 3). (e) Comparison between the ROSALIND system and the
Cas12a-based system. The ROSALIND detection reactions were run following
the previous protocol. The FAM ssDNA reporter was used in the Cas12a-based
system, and the two systems were detected at an excitation wavelength
of 486 nm and an emission wavelength of 510 nm. The ROSALIND
detection reaction showed similar kinetics in response to 12.5 μM
tetracycline as in the previous report (right panel). The values are
shown as mean ± SD (n = 3).Tetracycline antibiotics are widely used in agricultural and medical
applications, potentially leading to water and environmental contamination.
Therefore, we next tested whether different tetracycline antibiotics
could be detected with our platform. Reactions with TetR-regulated
transcription templates were able to efficiently detect different
concentrations of doxycycline and oxytetracycline, with no crosstalk
with other tested antibiotics (Figures d and S3).Recently,
a small-molecule detection platform employing aTFs to
regulate T7 RNA polymerase-based expression of a fluorescence-activating
RNA aptamer was developed (ROSALIND).[38] ROSALIND relies on the regulated expression of RNA-level output
in response to the cognate ligands for an aTF and was used to detect
16 different molecules, including tetracycline antibiotics.[38] We sought to benchmark our detection system
with ROSALIND for the detection of tetracycline. In response to 12.5
μM tetracycline, ROSALIND showed linear reaction kinetics with
a slow increase of the fluorescent signal over time, consistent with
the previous work (Figure e).[38] Our detection system showed
an exponential increase in the fluorescent signal, generating a significantly
higher signal compared to the signal observed with the ROSALIND system
(Figure e). These
results indicate that although both systems utilize aTF-regulated in vitro transcription, the use of Cas12a significantly
enhances the readout signal, with a comparable background signal in
the no-ligand controls. Although the RNA fluorescent aptamer reporter
in the ROSALIND biosensor is simple, such RNA output is not amenable
for further modifications that allow subsequent biochemical reactions,
and the signal output follows linear kinetics that are generally slow.
By contrast, the RNA output in our system drives enzymatic activity
(Cas12a cis and trans activity) with multiple turnover events that
lead to repeated cleavage of nucleic acid signaling reporters, generating
a significantly higher signal.[25] Therefore,
our system couples the advantage of protein reporters in whole-cell
and cell-free gene expression systems with simple, cell-free regulated
transcription for efficient and sensitive detection.
Visual Readout,
Mobile Phone Application, and Freeze-Drying
for Field-Applicable Detection
Sophisticated fluorescence
detection instruments, such as qPCR machines or plate readers, are
not feasible for in-field applications. Clear and simple visual readouts
are critical to allow in-field applications without the need for sophisticated
equipment. Previous work has shown the possibility of using a 3D-printed
portable device to visualize the fluorescence output.[38] However, signal detection by the naked eye was difficult,
and the development of more sophisticated illuminators was suggested
to improve the visual detection.[38] To enable
in-field and POC deployment of our detection platform, we coupled
our assay with a portable device that enables a simple visual readout
suitable for POC and routine diagnostics. We adapted a hand-held,
inexpensive fluorescence visualizer (P51 Molecular Fluorescence Viewer)
that allows easy visualization of the results. We have shown that
modified ssDNA reporters conjugated to 5′ HEX fluorescent molecules
instead of FAM produce a bright signal visible with the P51 fluorescence
visualizer when cleaved via Cas12a collateral activity.[39,40] Using this device, fluorescence is readily visible to the naked
eye without the need for sophisticated fluorescence detection instruments
(Figure a). Detection
reactions performed with a range of tetracycline concentrations generated
a clear fluorescent signal that could be easily seen with the p51
visualizer, with signal intensity increases in response to higher
concentrations of the ligand (Figures b and S4A). To further test
the detection assay performance with visual readouts, we also repeated
the detection assays for other antibiotics in Figures d and S3, but
with the visual fluorescence readouts. We found similar results as
obtained previously with the machine-based readouts, indicating the
reliability of the developed visual detection assays (Figures c and S4B).
Figure 4
Visual readout, mobile phone application, and freeze-drying
for
field-deployable applications. (a) Schematic of visual detection of
Cas12a-based sensing using the P51 visualizer. After incubation at
37 °C for 1–2 h, the detection reaction tubes can be directly
placed in the P51 visualizer, and the detection results can be observed
in the dark with the naked eye. (b) Visual detection of the dose–response
with tetracycline as shown in Figure c. (c) Visual detection of other tetracycline antibiotics
as shown in Figure S3. NL: no ligand. (d)
Schematic of the mobile phone application for result interpretation.
The application can interpret detection results from P51 visualization
by capturing pictures of detection reactions in P51 directly or uploading
an already captured image. The tubes identified as negative are shown
in red boxes, while the positive ones are shown in green boxes. Confidence
scores are shown on top of the detection reactions. (e) Example of
an app-processed visual detection result. The reactions containing ≥2
μM tetracycline were identified as positive. (f) Assessment
of lyophilized detection reactions stored at different temperatures.
The detection reactions without the ligand were lyophilized and kept
at RT, 4, or −20 °C for 2 days, and then, 5 μM tetracycline
was added in a 20 μL reaction. Values are shown as mean ±
SD (n = 3). (g) Assessment of detection reactions
with environmental samples. Left panel, schematic of collection and
spiking environmental water samples. Middle panel, endpoint fluorescence
readouts of tetracycline detection in spiked environmental samples
(5 μM). Data were measured at 120 min. The values are shown
as mean ± SD (n = 3). Right panel, representative
end-point visual detection of the reactions in the middle panel.
Visual readout, mobile phone application, and freeze-drying
for
field-deployable applications. (a) Schematic of visual detection of
Cas12a-based sensing using the P51 visualizer. After incubation at
37 °C for 1–2 h, the detection reaction tubes can be directly
placed in the P51 visualizer, and the detection results can be observed
in the dark with the naked eye. (b) Visual detection of the dose–response
with tetracycline as shown in Figure c. (c) Visual detection of other tetracycline antibiotics
as shown in Figure S3. NL: no ligand. (d)
Schematic of the mobile phone application for result interpretation.
The application can interpret detection results from P51 visualization
by capturing pictures of detection reactions in P51 directly or uploading
an already captured image. The tubes identified as negative are shown
in red boxes, while the positive ones are shown in green boxes. Confidence
scores are shown on top of the detection reactions. (e) Example of
an app-processed visual detection result. The reactions containing ≥2
μM tetracycline were identified as positive. (f) Assessment
of lyophilized detection reactions stored at different temperatures.
The detection reactions without the ligand were lyophilized and kept
at RT, 4, or −20 °C for 2 days, and then, 5 μM tetracycline
was added in a 20 μL reaction. Values are shown as mean ±
SD (n = 3). (g) Assessment of detection reactions
with environmental samples. Left panel, schematic of collection and
spiking environmental water samples. Middle panel, endpoint fluorescence
readouts of tetracycline detection in spiked environmental samples
(5 μM). Data were measured at 120 min. The values are shown
as mean ± SD (n = 3). Right panel, representative
end-point visual detection of the reactions in the middle panel.Despite the simplicity and the clear signal observed
with the visual-based
readouts, the signal intensity generated from low ligand concentrations
can be difficult to distinguish from the background fluorescence of
the no-ligand control, for example, 1 μM tetracycline in Figure b. This can lead
to uncertainty and require users to judge signal output intensity
and estimate the results. In an effort to reduce user bias in interpreting
the results, we employed our recently developed mobile phone application
capable of collecting and reading fluorescent signal results from
the low-cost P51 Molecular Fluorescence Viewer at POC settings (https://hi-zhengcheng.github.io/optima-dx). The application allows the user to take a picture of PCR strips
or upload an image of a PCR strip illuminated by a transilluminator
in the p51 visualizer. The software then determines the location of
each tube, calculates a probability score for each target category,
and classifies each tube as positive (green outlined box) or negative
(red outlined box) samples based on the intensity of the fluorescent
signal (Figure d).
We validated the ability of the smartphone application to identify
and call positive and negative readouts from the detection results.
The app correctly determined the fluorescence status of each sample
with good accuracy, calling the fluorescent signal generated from
≥2 μM tetracycline as positive (Figures e and S5). With
the robust Cas12a enzymatic activity and the use of HEX-labeled reporters,
our detection assays generate bright fluorescent signals that are
easily distinguishable from negative controls, enabling simple visual
detection using the inexpensive, hand-held, and portable P51 visualizer.
In addition, the use of mobile phones for data collection, interpretation,
and sharing has been increasingly used in the field.[41] The adaptation of the easy-to-use and portable smartphone-based
application further simplifies the interpretation of visual results
in our detection platform, which can help untrained personnel interpret
results for samples with weak signals. Overall, the software provides
an additional detection validation and enables fast data sharing and
possibly automated interpretation, making the entire detection process
affordable and accessible to more users.To further simplify
and enable the in-field deployment of the detection
assays, simple storage, distribution, and assay preparation are required,
which could be accomplished by freeze-drying of the cell-free detection
system. Previous work has shown that both CRISPR and aTF-regulated in vitro transcription reagents are amenable to freeze-drying.[38,42] Therefore, we lyophilized the detection reaction and tested its
performance after storage at different temperatures. We found that
the lyophilized reactions reconstituted with water, but not with the
reaction buffer, remained active after 2 days of storage at room temperature
(RT), 4, or −20 °C. However, we noticed a negative impact
on the speed of the reactions, with a significant reduction in speed
and fluorescence intensity with lyophilized reactions stored at RT
(Figures f and S6). These results indicate that the reagents
are amenable for lyophilization, but further optimization is needed
to allow efficient performance of lyophilized reactions after storage
at RT for an extended period of time.Next, we sought to test
the applicability of the detection assays
to detect tetracycline in the context of environmental water samples.
Therefore, we collected water samples from different areas, including
Amboseli National Park, Kenya, and the Nile, Egypt, and performed
the detection assays using these water samples after spiking them
with tetracycline. We found that the detection assays showed a good
performance similar to reactions performed with laboratory-grade water
(Figure g). Having
showed that the detection assays are amenable for lyophilization,
we reasoned that the lyophilized detection assays can be easily rehydrated
with the water sample to be tested, which would further simplify the
assays for POC applications. Therefore, we used the environmental
samples spiked with tetracycline to rehydrate the lyophilized reactions.
We found that the lyophilized detection reactions rehydrated with
the environmental samples performed as good as reactions rehydrated
with laboratory-grade water (Figure S7).Altogether, these results show that the reagents can be lyophilized
and rehydrated with the sample to be tested, including environmental
water samples, with minimal negative impacts, and the use of visual
fluorescence readouts accompanied with our smartphone application
minimizes equipment requirements and user interpretation bias, facilitating
in-field deployment.
Conclusions
In this work, we demonstrated
the coupling of aTF-regulated in vitro transcription
of a CRISPR array and CRISPR/Cas12a
activity to develop sensitive, fast, affordable, single-reaction,
and isothermal cell-free biosensors. We showed that our detection
reactions can be used in field and POC settings with one step, providing
simple and easy visual readouts with the companion mobile phone application
that eliminates the need for large or expensive fluorescent detection
equipment, simplifying the interpretation of results.As CRISPR
diagnostics revolutionized the field of nucleic acid
detection, CRISPR Cas systems have been increasingly used to develop
efficient small-molecule detection platforms. Different CRISPR-based
biosensors have been developed for the detection of various molecules,
including CaT-SMelor, SPRINT, aptamer, or DNAzyme-regulated CRISPR-Cas12a
sensors for ATP or Na+ detection, respectively, as well
as the isothermal proximity CRISPR Cas12a assay for protein detection.[35,43−45] These systems represent great advancements in the
field of small-molecule detection, but they still suffer from some
drawbacks. For example, both CaT-SMelor and SPRINT require crRNAs
to be added into the detection reactions, while no prior RNA production
is needed in our detection assay. In addition, in contrast to our
one-step detection reaction, CaT-SMelor requires an aTF to be first
fused to a cellulose-binding domain (CBD-aTF) that is then immobilized
on microcrystalline cellulose. Furthermore, the CaT-SMelor detection
reaction is performed in multiple steps that require washing and centrifugation,
complicating its use at POC settings. Moreover, the use of Cas13 in
SPRINT reactions requires using RNA reporters that are susceptible
to degradation by the RNase contamination commonly present in environmental
samples, necessitating vigorous sample pre-treatment. In contrast,
the use of Cas12a with ssDNA reporters helps to avoid such problems.We anticipate that the simple platform presented here could be
further expanded and improved. For example, here, we used only one
aTF, the ligand-responsive TetR transcription factor. However, this
strategy could use other aTFs to detect various environmental and
medical-related ligands.[38,46−48] In addition, Cas12a collateral activity has been widely utilized
for the development of portable paper strip readouts by simple modification
of the reporter molecule.[49,50] With the simple and
single-molecule regulated expression DNA cassette used in our platform,
an aptamer-based biosensor (e.g., ROSALIND) regulated by a different
aTF could be engineered on the same expression cassette. This would
enable multiplex detection of different ligands with the use of the
distinct fluorescence-based (ROSALIND) or lateral flow-based (Cas12-based
detection) readouts in the same reaction. In addition, due to the
efficient and precise pre-crRNA processing mediated by Cas12a, other
regulatory RNA sequences could be engineered into the CRISPR array
to allow subsequent processing and release into the reaction. For
example, the TetR-binding aptamer (anti-TetR) interacts with TetR
and de-represses it by mimicking its operator binding site (tetO).[51,52] The easy engineering of the anti-TetR aptamer sequence in the CRISPR
array could be used to sensitize the tetracycline sensor to detect
lower tetracycline concentrations, if needed.Overall, we believe
that this study represents a valuable advance
to the CRISPR-based small-molecule detection toolbox and cell-free
biosensors in general.
Authors: Noah D Taylor; Alexander S Garruss; Rocco Moretti; Sum Chan; Mark A Arbing; Duilio Cascio; Jameson K Rogers; Farren J Isaacs; Sriram Kosuri; David Baker; Stanley Fields; George M Church; Srivatsan Raman Journal: Nat Methods Date: 2015-12-21 Impact factor: 28.547