SUMMARY
RNA-targeting CRISPR-Cas13 proteins have recently emerged as a powerful platform to transiently modulate gene expression outcomes. However, protein and CRISPR RNA (crRNA) delivery in human cells can be challenging and knockdown can be transient due to rapid crRNA degradation. Here we compare several chemical RNA modifications at different positions to identify synthetic crRNAs that improve RNA targeting efficiency and half-life in human cells. We show that co-delivery of modified crRNAs and recombinant Cas13 enzyme in ribonucleoprotein (RNP) complexes enables transient gene expression modulation in primary CD4+ and CD8+ T-cells. This system represents a robust and efficient method to transiently modulate transcripts without genetic manipulation.
Keywords: CRISPR Type-VI, Cas13, chemical modifications, transcriptome editing
Graphical Abstract
eTOC blurb:
By screening multiple chemical modifications of the CRISPR RNA (crRNA), Méndez-Mancilla et al. identify specific chemical modifications and placement of modified bases that improve CRISPR-Cas13 transcript knockdown in human cells. The authors demonstrate that Cas13 ribonucleoproteins complexed with chemically modified crRNAs can modify the transcriptome of human primary T cells
INTRODUCTION
The CRISPR-Cas13 enzyme family has shown remarkable versatility in basic biology and biotechnology applications (Smargon, Shi and Yeo, 2020), including RNA knockdown (Abudayyeh et al., 2017; Cox et al., 2017; Konermann et al., 2018; Smargon, Shi and Yeo, 2020), transcript modifications like RNA editing (Cox et al., 2017; Li et al., 2020), live imaging(Wang et al., 2019; Yang et al., 2019) and diagnostics (Gootenberg et al., 2017, 2018; Barnes et al., 2020). Importantly, CRISPR-based transcriptome modulation has been proposed to offer considerable therapeutic potential for a wide spectrum of RNA-mediated diseases (Granados-Riveron and Aquino-Jarquin, 2018; Freije et al., 2019; Smargon, Shi and Yeo, 2020). In all cases, a CRISPR RNA (crRNA) guides Cas13 to its target RNA by RNA-RNA hybridization of a short 23 nt spacer sequence to the target site (Zhang et al., 2018; Wessels et al., 2020). Cas13-based effectors act on the RNA level and do not result in permanent changes to the genome. However, without a continuous source of crRNA expression, effects are short-lived due to rapid crRNA degradation by endogenous RNA nucleases and regeneration of the cellular steady-state by continuous target RNA expression.
Although continuous crRNA expression can be achieved via genetic manipulation, such as viral vectors expressing the crRNA and/or Cas13 (Abudayyeh et al., 2017; Konermann et al., 2018; Cui et al., 2020), these methods are less desirable for more physiologically-relevant or therapeutic settings, such as targeting of immune checkpoints for immuno-oncology or differentiation of autologous stem cells prior to transplantation (Smith et al., 2017; Ribas and Wolchok, 2018). One of the main challenges for transcriptome manipulations is to achieve efficient delivery of CRISPR systems for robust RNA manipulation without modifying host DNA sequence. Recently, others have demonstrated chemical activation of crRNAs for Cas13a cleavage in vitro (Wang et al., 2020) and delivered recombinant Cas13d into zebrafish embryos (Kushawah et al., 2020). However, it remains unclear if a similar approach in human cells can lead to lasting effects. Inspired by guide RNA modifications for DNA-targeting Cas9 and Cas12a nucleases (Hendel et al., 2015; Lee et al., 2017; Yin et al., 2017; Cromwell et al., 2018; McMahon et al., 2018; Ryan et al., 2018; Jiang et al., 2020), we sought to test if chemically modified synthetic crRNAs can be delivered into human cells to enhance Cas13-mediated transcript knockdown.
RESULTS
Cas13 crRNA chemical modifications and placement to improve transcript knockdown
First, we assessed the degree of target RNA knockdown efficiency upon exogenous delivery of unmodified and chemically-modified crRNAs. We synthesized crRNAs with different chemical modifications at three uridine nucleotides (3xU) at the 3′ end of a 23 nt spacer sequence or with an inverted thymidine (invT) capping the 3′ end (Figure 1A). We tested 3 different modifications of the 3xU bases which have been reported before to improve RNA stability and evade secondary immune responses (Hendel et al., 2015; Lee et al., 2017; Wienert et al., 2018): 2′-O-methylation (M), phosphorothioate linkage (S), and 2′-O-methylation and phosphorothioate linkage (MS). Although all of these modified crRNAs add extra bases at the 3’ end, we previously demonstrated that nucleotide mismatches to the target site beyond the 23 nt RNA-RNA hybridization interface do not interfere with target knockdown efficiency (Wessels et al., 2020). We chose to assess target knockdown efficiency of three broadly expressed cell surface proteins (CD46, CD55, CD71) that can be efficiently targeted with RfxCas13d(Wessels et al., 2020). The synthesized crRNAs were nucleofected into monoclonal RfxCas13d-expressing HEK293FT cells and, after three days, we quantified protein expression by flow cytometry (Figure S1A). For unmodified crRNAs, we noticed that protein knockdown for each of the three target transcripts was barely detectable relative to non-targeting crRNAs, suggesting that indeed unmodified crRNAs get rapidly cleared in human cells and cannot yield lasting knockdown effects (Figures 1B, C, and S1B). On the other hand, all of the chemically modified crRNAs improved target knockdown but did so to varying degrees (one-way ANOVA, p < 10−4). We found that M-modified crRNAs had the overall largest knockdown (80% knockdown of CD71) but that there was greater variability among targeted transcripts. In contrast, we found that the invT modification improved knockdown efficiency in a more consistent manner across the three cell surface markers (55%) (Figure 1C). Surprisingly, the combination of M and S modifications did not result in improved knockdown than either individual (M or S) modification (one-way ANOVA, Tukey-corrected p = 0.14 [M], p = 0.89 [S]).
In addition to improving Cas13-mediated target knockdown, we wondered if chemical modifications can close the gap between low and high efficiency guide sequences. Previously we used a high-throughput crRNA screen to identify optimal Cas13 guide sequence design parameters and developed a scoring metric to predict crRNA efficiency (Guo et al., 2020; Wessels et al., 2020). We chose one low-scoring guide sequence per target gene in addition to the high-scoring guide sequence used above (Figure S2A) and found that chemically modified crRNAs do not generally improve the activity of low-scoring guide sequences (Figure S2B). This suggests that chemical modification may improve crRNA stability but does not improve guide sequence efficiency. Stability of the crRNA is a key element of efficient Cas13 knockdown: Using M-modified crRNAs, we found that substantial knockdown was only possible when Cas13 was already expressed (Figure S2C), similarly to previously reports with Cas9 (Hendel et al., 2015). This suggests that Cas13 protein must be available for efficient ribonucleoprotein (RNP) complex formation after crRNAs are introduced into cells. We found similar results when we introduced Cas13 as messenger RNA at different timepoints relative to crRNA nucleofection (Figure S2D, E).
Encouraged by these results, we next examined whether alternative placement of modified bases could further improve crRNA stability and transcript knockdown. Specifically, we tested if more extensively M-modified crRNAs could increase crRNA stability without interfering with target knockdown, as previously shown for DNA-targeting Cas9 sgRNA (Yin et al., 2017; Cromwell et al., 2018; Ryan et al., 2018). We synthesized crRNAs containing a M-modification along all the bases in the crRNA (53 modified bases), all bases in the spacer sequence (23 modified bases) or in the direct repeat loop sequence (3 modified bases). For all three targeted genes, these more extensive M-modifications abrogated Cas13 knockdown compared to unmodified crRNAs, presumably by disrupting the Cas13-crRNA interaction (Figure 1D). With Cas9 guide RNAs, multiple groups have found that moderate modification at the ends of the guide RNA tend to work best (Lee et al., 2017; Jiang et al., 2020), although one group reported an enhanced guide RNA with a majority of bases modified (~70%) for targeting hepatocytes in vivo (Yin et al., 2017). In contrast, our results show that a high degree of chemical modification yields less Cas13d knockdown.
Since partial modifications at the 3′ end boost knockdown, we decided to more systematically test the effect of partial modifications on the crRNA 5′ and 3′ ends. We tested crRNAs with S-modification at the first and last three nucleotides of the crRNA’s 5′ and 3′ ends (5S and 3S, respectively) or using a 3xU 5′ or 3′ extension (5′Se and 3′Se, respectively). We also tested all combinations of 5′ and 3′ end modifications. We found marked improvement of target knockdown for crRNAs with phosphorothioate modifications at the 3’ end of the spacer sequence (Figure 1E). Interestingly, 3′ phosphorothioate modifications improved knockdown efficiency to a greater degree when placed within the spacer sequence (3′S) compared to being placed in 3xU extensions (3′Se) (two-tailed t-test, p = 0.03). Modifications at the 5′ end of the crRNA alone, or in conjunction with 3’ modifications did not improve target knockdown efficiency (one-way ANOVA, Tukey-corrected p = 0.99 for all comparisons with added 5′ modifications). These results suggest that exonucleases or degradation processes at the crRNA 3′ end are a major hurdle for increased Cas13 activity using synthetic crRNAs(Basila, Kelley and Smith, 2017).
Temporal dynamics of transcript knockdown with chemically-modified crRNAs and targeting of a SARS-CoV-2 viral RNA reporter construct
Next, we sought to assess the temporal dynamics of Cas13 activity with synthetic crRNAs by comparing knockdown of CD46 over time for 3′ invT, 3′S and unmodified crRNAs relative to non-targeting crRNAs (Figure 2A). All three targeting crRNAs, including unmodified crRNAs, yielded almost complete CD46 knockdown at 24 hours after nucleofection with around 95% protein loss for 3′S-modified crRNAs (Figure 2B). While CD46 expression quickly recovered in cells targeted with unmodified crRNAs, 3′S crRNAs led to pronounced knockdown at 48 hrs after crRNA delivery (Figure 2C). Even 4 days after nucleofection, the modified crRNAs resulted in ~40% knockdown. Both crRNA modifications extend knockdown effects by about 2 days compared to unmodified crRNAs.
Recently, several groups have suggested the possibility of using Cas13 to target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a positive-sense RNA virus responsible for the current global pandemic of novel coronavirus disease 2019 (COVID-19)(Abbott et al., 2020; Arizti-Sanz et al., 2020; Blanchard et al., 2021). To test if synthetic crRNA can degrade SARS-CoV-2, we designed a reporter construct that contains the SARS-CoV-2 leader sequence in the 5′ UTR of an EGFP reporter gene (Figure 2D). The SARS-CoV-2 leader sequence is a component of all SARS-CoV-2 subgenomic RNAs and thus represents a universal targeting site for all subgenomic viral transcripts (Lai, 1986; Kim et al., 2020). Similar to our experiments with endogenous human transcripts, we found that 3′S-modified crRNAs targeting the SARS-CoV-2 leader sequence can suppress reporter protein expression, despite targeting an untranslated sequence (Figure 2E). These results suggest that Cas13 together with chemically modified crRNAs may represent an efficient and programmable therapeutic approach to target universal SARS-CoV-2 sequences.
Cas13 ribonucleoprotein complexes with chemically-modified crRNAs lead to efficient transcript knockdown in human primary T cells
In addition to delivery of chemically-modified crRNAs for extended knockdown, another major challenge is delivery of the effector protein into systems that cannot easily be genetically modified to continuously express Cas13. Therefore, we next sought to evaluate if we could preassemble Cas13 RNP complexes with synthetic crRNAs and deliver these RNPs into primary human cells. First, we confirmed that preassembled RNPs with recombinant RfxCas13d with nuclear localization signals (NLSs) on the N- and C-termini (rCas13d) could efficiently degrade different target RNAs in vitro (Figures 3A and S3A-C). We found that purified rCas13d with or without an N-terminal MKIEE expression and solubility tag resulted in similar nuclease activity in vitro. By nucleofection of RNPs into human HEK293FT cells, we identified optimal buffer and temperature conditions for RNP assembly, achieving ~85% knockdown of CD46 at 24 hours post-nucleofection (Figures 3B and S3D). At 48 hours post-nucleofection, we found that complexing in a Tris-based buffer at an elevated temperature (37°C) led to greater knockdown than an alternative buffer and room temperature RNP formation (two-way ANOVA with Tukey-corrected p < 10−4 for buffer and p < 10−3 for temperature). We further optimized RNP delivery using different protein amounts, while holding the molar ratio of rCas13d to crRNA (1:2) constant. We found that 10μg of rCas13d protein yielded the strongest knockdown and that additional rCas13d does not lead to greater knockdown (two-tailed t-test, p = 0.7) (Figure 3C). In agreement with our prior results using viral delivery of Cas13d, we find that using chemically-modified crRNAs also improves RNA knockdown with Cas13d RNPs (two-tailed paired t-test, p = 5 x 10−3).
Using these optimized conditions for RNP formation and nucleofection, we isolated human T-cells from healthy donors, stimulated the cells with anti-CD3 and anti-CD28 antibodies, and asked whether we could knockdown CD46 expression in primary T-cells using these RNP complexes (Figure 3D). We assessed CD46 expression in CD4+ and CD8+ populations separately 24 hours after nucleofecting activated T cells (Figure 3E and S3E). For both T-cell populations we achieved a 60 – 65% knockdown of CD46 with 3′S modified crRNAs (Figure 3F). With unmodified crRNAs, we achieved only 40 – 45% knockdown of CD46. Taken together, these experiments demonstrate that Cas13 RNPs can modify gene expression in primary immune cells and that modified crRNAs lead to greater gene knockdown than unmodified crRNAs.
DISCUSSION
Here, we show that chemically-modified crRNAs can be used for Cas13d RNA targeting and knockdown. By testing different chemical modifications and their placement within the crRNA, we identify a subset of optimal modifications for RNA targeting in cells and demonstrate that knockdown effects persist longer than with unmodified crRNAs. We show that crRNAs with 2′-O-methylation at bases on their 3′ ends leads to improved knockdown of endogenous transcripts in human cells. We find similarly improved knockdown from phosphorothioate linkage but no added benefit to combining phosphorothioate linkages and 2′-O-methylation. It is also important where chemical modifications are placed in the crRNA: Modification of the 3’ end of the crRNA improves knockdown but more extensive modification is deleterious to Cas13 activity.
Furthermore, we demonstrate the use of Cas13d RNPs complexes together with chemically-modified crRNAs in human cell lines and primary immune cells. Although chemically-modified crRNAs improve Cas13 knockdown with Cas13 from an integrated transgene or from RNPs, the improvement is more modest for RNPs (~2-fold vs. 4-fold), which suggests that the RNP complex may also protect the crRNA from degradation. Given the recent development of Cas13-based research tools, diagnostics and therapeutics(Konermann et al., 2018; Abbott et al., 2020; Fozouni et al., 2020; Joung J, Ladha A, Saito M, Kim NG, Woolley AE, Segel M, Barretto RPJ, Ranu A, Macrae RK, Faure G, Ioannidi EI, Krajeski RN, Bruneau R, Huang MW, Yu XG, Li JZ, Walker BD, Hung DT, Greninger AL, Jerome KR, Gootenberg JS, Abudayyeh OO, 2020; Kushawah et al., 2020; Patchsung et al., 2020), chemically-modified crRNAs can further enhance CRISPR-Cas13 RNA editing for diverse applications in biotechnology and medicine.
STAR METHODS
RESOURCE AVAILABILITY
Lead contact
Further information requests should be directed to the Lead Contact, Neville Sanjana (neville@sanjanalab.org).
Materials availability
Plasmids (TRS-Leader-SARS-CoV-2-d2eGFP, pET28-His-MBP-NLS-RfxCas13d-NLS-HA and pET28-MKIEE-NLS-RfxCas13d-NLS-HA-6His) have been deposited with Addgene (plasmid nos. 171585, 171586, 171587).
Data and code availability
Data will be shared by the lead contact upon request. This paper does not report original code. Cas13 guide RNAs were designed using cas13design (https://cas13design.nygenome.org/). Additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
EXPERIMENTAL MODEL AND SUBJECT DETAILS
Cell line culture conditions
HEK293FT cells were acquired from Thermo Fisher Scientific (R70007) and maintained in D10 media: DMEM with high glucose and stabilized L-glutamine (Caisson DML23) supplemented with 10% Serum Plus II fetal bovine serum (Sigma-Aldrich 14009C) and no antibiotics. For Tet-free D10 media, we omitted the Serum Plus II and instead substituted 10% tetracycline-negative fetal bovine serum (Corning 35-075-CV) for the Serum Plus II. HEK293FT were cultured at 37°C, 5% CO2, and ambient oxygen levels. We generated doxycycline-inducible HEK293FT-RfxCas13d-NLS cells using lentiviral transduction (Wessels et al., 2020).
T cell isolation and culture conditions
T cells were procured from a de-identified healthy donor LeukoPak (New York Blood Center). Peripheral blood mononuclear cells (PBMCs) were isolated using Lymphoprep density gradient centrifugation (StemCell Technologies). CD8+ T cells were isolated from PBMCs by positive magnetic selection using EasySep Human CD8 Positive Selection Kit (StemCell Technologies). CD4+ T cells were isolated from PBMCs by negative magnetic selection using EasySep Human CD4 T cell Isolation Kit (StemCell Technologies). Isolated T cells were then plated in ImmunoCult-XF T Cell Expansion Medium (StemCell Technologies) supplemented with 10 ng μL-1 recombinant human IL-2 (StemCell Technologies) and activated with the ImmunoCult Human CD3/CD28 T Cell Activator (StemCell Technologies). T cells were cultured at 37°C, 5% CO2, and ambient oxygen levels.
METHOD DETAILS
Plasmids
We cloned the TRS-Leader-SARS-CoV-2-d2eGFP plasmid (Addgene 171585) by introducing 75 nt of the SARS-CoV-2 Leader sequence into the NheI-digested EFS-EGFPd2PEST-2A-Hygro plasmid (Addgene 138152). We inserted the TRS-Leader immediately before the coding sequence by ligation of annealed oligos (see Table S3 for sequences). We generated bacterial RfxCas13d expression vectors as follows. Codon-optimized cDNAs containing the effector protein RfxCas13d were synthesized (Genscript) and assembled into modified pET28 vectors by NEBuilder HiFi DNA assembly (E2621, NEB). We created 2 bacterial expression vectors: pET28-His-MBP-NLS-RfxCas13d-NLS-HA (Addgene 171586) produces the protein RfxCas13d-sTag after cleavage of the N-terminal His-MBP fusion partner, and pET28-MKIEE-NLS-RfxCas13d-NLS-HA-6His (Addgene 171587) produces the protein RfxCas13d-dTag. For both constructs, NLS indicates the nuclear localization sequence derived from the simian virus 40 (SV40) large T-antigen.
Chemically modified CRISPR RNA (crRNA) synthesis
The crRNAs were synthesized using solid-phase phosphoramidite chemistry (Synthego CRISPRevolution platform). Following synthesis, postprocessing and purification steps, we quantified each crRNA by UV absorption using Nanodrop (Thermo). We confirmed their identities and quality using an Agilent 1290 Infinity II high-performance liquid chromatography (HPLC) system coupled with an Agilent 6530B Quadrupole time of-flight mass spectrometry (Agilent Technologies) in negative ion polarity mode.
Recombinant Cas13d production and purification
Recombinant RfxCas13d proteins were expressed in E.coli NiCo21 (DE3) (NEB C2529). Cells were grown in 1L of lysogeny (Luria-Bertrani) broth containing 40 mg/mL kanamycin with shaking at 30°C. Protein expression was induced by the addition of 0.4 mM IPTG and the temperature was reduced to 16°C for 16 hours. Pelleted cells were disrupted by sonication. Proteins were purified from the lysate supernatant using HiTrapDEAEFF Sepharose, HisTrap HP and HiTrap HeparinHP columns on an Akta Go instrument (Cytiva). To produce sTag RfxCas13d, the N-terminal His-MPB fusion partner was cleaved with Sumo protease and removed. Purified RfxCas13d proteins were stored in 20mM Tris-HCl, pH7.5, 500mM NaCl, 1mM EDTA, 1mM DTT and 50% glycerol (v/v). Protein concentration was determined by Bradford assay (Bio-Rad).
Nucleofection of crRNAs and ribonucleoprotein (RNP) complexes
For nucleofection experiments in HEK293FT-RfxCas13d cells, we seeded three replicates of ~2xl06 cells in D10 media with 1 ug/mL of doxycycline 24 hours before nucleofection. Using 1x105 cells per condition/nucleofection, we nucleofected HEK293FT-RfxCas13d cells with 225 μmol of synthetic crRNAs in 20μl reaction of SF Cell Line Nucleofector Solution (Lonza V4XC-2032) using the Lonza Nucleofector 4D (program CM-130). Immediately after nucleofection, we plated cells in pre-equilibrated D10 media (equilibrated to 37°C and 5% CO2). For SARS-CoV-2 RNA knockdown, we nucleofected HEK293FT-RfxCas13d with 0.4 μg of TRS-Feader-SARS-CoV-2-d2eGFP plasmid together with 225 μmol of synthetic crRNAs and performed flow cytometry 24 hours after nucleofection.
For RNP delivery experiments, purified RfxCas13d protein and crRNAs were assembled at a 1:2 molar ratio (Cas13 protein : crRNA) under two different RNP complexing conditions: 1) 10 mins at 25°C or 37°C with nuclease reaction buffer (GenScript) and 2) 15 mins at 24°C or 37°C with RNA cleavage buffer (25mM Tris pH 7.5, 1mM DTT, 6mM MgCl2). After complexing, the RfxCas13d RNPs were nucleofected into HEK293FT cells or primary T cells using 105 to 106 cells in 20μl of nucleofection solutions specific for each cell type. For HEK293FT nucleofection, cells were nucleofected in 20μl reaction of SF Cell Fine Nucleofector Solution (Fonza V4XC-2032) using the Fonza Nucleofector 4D (program CM-130). Immediately after nucleofection, HEK293FT cells were plated in pre-equilibrated D10 media (equilibrated to 37°C and 5% CO2) and remained there until flow cytometry analysis. For T cells nucleofection, two days after activation CD4+ and CD8+ T cells were combined, washed 2X in Dulbecco’s PBS without calcium or magnesium (D-PBS, Caisson Labs) and resuspended in 20 μl P3 Primary Cell Nucleofector Solution (Lonza V4XP-3032). T cells were then nucleofected using the Lonza Nucleofector 4D (program E0-115). Nucleofections were performed in triplicate. Immediately after nucleofection T cells were plated in pre-equilibrated ImmunoCult-XF T Cell Expansion Medium supplemented with 10 ng μL-1 recombinant human IL-2 (equilibrated to 37°C and 5% CO2). Before flow cytometry analysis, nucleofected T cells were washed with D-PBS and stained with LIVE/DEAD Fixable Violet Dead Cell Stain (ThermoFisher) for 5 minutes at room temperature in the dark before proceeding with antibody stain.
Biochemical in vitro RNA cleavage assays
We synthesized 200 bp target RNAs for CD46, CD55 and CD71 by PCR amplification of templates from total cDNA from HEK293FT cells and then performed T7 in vitro RNA transcription. To prepare the cDNA library, we extracted total RNA from HEK293FT cells using Direct-zol purification (Zymo) and reverse transcribed 1 ug of RNA into cDNA using Revert-Aid (ThermoFisher). Using the PCR templates of target RNAs, we performed in vitro RNA transcription using the HiScribe T7 High Yield RNA Synthesis Kit (NEB). After transcription, RNA was purified using a Monarch RNA Cleanup Kit (NEB) and quantified on a Nanodrop spectrophotometer (Thermo).
Similarly, RfxCas13d and eGFP messenger RNAs (mRNAs) were synthesized using a T7 RNA polymerase in vitro transcription with the HiScribe T7 ARCA mRNA Kit (with tailing) (NEB). The mRNAs were purified using a Monarch RNA Cleanup Kit (NEB). We amplified target RNAs and mRNAs using primers that include a T7 promoter sequence on the 5′ end; for the mRNAs, we also included the corresponding Kozak and start/stop codon sequences (Table S2).
Purified RfxCas13d proteins and synthetic crRNAs were mixed (unless otherwise indicated) at 2:1 molar ratio in Buffer 1 (GenScript SC1841) or Buffer 2 (Konermann et al., 2018) (25mM Tris pH 7.5, 1mM DTT, 6mM MgCl2). The reaction was prepared on ice and incubated at 25°C or 37°C for 15 minutes prior to the addition of target RNA at 1:2 molar ratio relative to RfxCas13d protein. The reaction was incubated at 37°C for 45 minutes and quenched with 1 μL of enzyme stop solution(Konermann et al., 2018) (10 mg/mL Proteinase K, 4M Urea, 80mM EDTA, 20mM Tris pH 8.0) at 37°C for 15 minutes. The samples were denatured at 95°C for 5 minutes in 2X RNA Gel Loading Dye (ThermoFisher) and loaded onto Novex 10% TBE-Urea gels (ThermoFisher). The gels were run at 180 V for 35 mins. After separation, gels were stained with SYBR Gold (ThermoFisher) prior to imaging via Gel Doc EZ system (Bio-Rad).
Flow cytometry
Cells were stained with the following antibodies: PE anti-human CD4 (clone RPA-T4, Biolegend 300507), FITC anti-human CD8a (clone RPA-T8, Biolegend 301006) and APC anti-human CD46 (clone TRA-2-10, Biolegend 352405). Antibody staining was performed for 20 minutes on ice. After staining the cells were washed 2X in D-PBS and analyzed via flow cytometry (Sony SH800S). A minimum of 10,000 viable events was collected per sample.
QUANTIFICATION AND STATISTICAL ANALYSIS
Data analysis
Data analysis and statistical testing was performed using GraphPad Prism 8 (GraphPad Software Inc.). Flow cytometry analysis and figure generation was performed using FlowJo v10 (BD). Specific statistical analysis methods are described where results are presented.
Supplementary Material
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
CD46 clone TRA-2-10 | Biolegend | Cat #352405 |
CD55 clone JS11 | Biolegend | Cat #311311 |
CD71 (TFRC) clone CYIG4 | Biolegend | Cat #334105 |
Bacterial and virus strains | ||
NEB Stable Cells | New England Biolabs | Cat #C3040I |
E. coli NiCo21(DE3) | New England Biolabs | Cat #C2529 |
Biological samples | ||
Buffy coats (leukocytes) | New York Blood Center | https://nybloodcenter.org/ |
Chemicals, peptides, and recombinant proteins | ||
Lymphoprep | Stem Cell technologies | Cat #07811 |
Recombinant human IL-2 | Stem Cell Technologies | Cat #78081 |
ImmunoCult Human CD3/CD28 T Cell Activator | Stem Cell Technologies | Cat #10991 |
Kanamycin | Sigma-Aldrich | Cat #K1377 |
IPTG | Sigma-Aldrich | Cat #I6758 |
Doxycycline hydrochloride | Sigma-Aldrich | Cat #D3447 |
LIVE/DEAD Fixable Violet Dead Cell Stain | ThermoFisher Scientific | Cat #L34963 |
Nuclease Buffer 10X | GenScript | Cat #SC1841 |
2X RNA Gel Loading Dye | Thermo Fisher Scientific | Cat #R0641 |
Novex 10% TBE-Urea gels | Thermo Fisher Scientific | Cat #EC68752BOX |
Critical commercial assays | ||
EasySep Human CD8 Positive Selection Kit | Stem Cell technologies | Cat #17853 |
EasySep Human CD4 T cell Isolation Kit | Stem Cell technologies | Cat #17952 |
Bradford assay | Bio-Rad | Cat #5000201 |
Direct-zol RNA MicroPrep | Zymo Research | Cat #R2061 |
SF Cell Line Nucleofector Solution | Lonza | Cat #V4XC-2032 |
P3 Primary Cell Nucleofector Solution | Lonza | Cat #V4XP-3032 |
RevertAid RT Reverse Transcription Kit | Thermo Fisher Scientific | Cat #K1691 |
HiScribe T7 High Yield RNA Synthesis Kit | New England Biolabs | Cat #E2040S |
HiScribe T7 ARCA mRNA Kit | New England Biolabs | Cat #E2060S |
Monarch RNA Cleanup Kit | New England Biolabs | Cat #T2050S |
Experimental models: Cell lines | ||
HEK293FT | Thermo Fisher Scientific | Cat#R70007 |
HEK293FT-RfxCas13d-NLS | This paper | N/A |
Experimental models: Organisms/strains | ||
Oligonucleotides | ||
Please refer to Table S2 and S3 | ||
Recombinant DNA | ||
pLenti-TRS-Leader-SARS-CoV-2-EGFP | This paper | Addgene 171585 |
pET28-His-MBP-NLS-RfxCas13d-NLS-HA | This paper | Addgene 171586 |
pET28-MKIEE-NLS-RfxCas13d-NLS-HA-6His | This paper | Addgene 171587 |
pLentiRNACRISPR_007 - TetO-NLS-RfxCas13d-NLS-WPRE-EFS-rtTA3-2A-Blast | Wessels et al., 2020 | Addgene 138149 |
pMD2.G | Trono Lab packaging and envelope plasmids | Addgene 12259 |
psPAX2 | Trono Lab packaging and envelope plasmids | Addgene 12260 |
Software and algorithms | ||
GraphPad Prism 8 | GraphPad | https://www.graphpad.com/ |
FlowJo 10 | Becton, Dickinson and Company | https://www.flowjo.com/solutions/flowjo |
Cas13 design tool | Guo X. et. al. bioRxiv (2020) | https://cas13design.nygenome.org/ |
Other | ||
HiTrapDEAEFF Sepharose columns | Cytiva | Cat #17505401 |
HisTrap HP columns | Cytiva | Cat #17524701 |
HiTrap HeparinHP columns | Cytiva | Cat #17040703 |
Highlights:
Chemical modification of Cas13 guide RNAs improves RNA targeting in human cells
Modifications at the guide RNA 3’ end increase Cas13 activity and prolong knockdown
Cas13 ribonucleoproteins yield high knockdown in human primary immune cells
SIGNIFICANCE.
The recent development of RNA-targeting CRISPR systems like Cas13 has enabled a wide variety of new methods for transcriptome engineering. Previously, we showed that optimization of the Cas13 CRISPR RNA (crRNA) sequence can boost nuclease activity on endogenous human transcripts. Here, we systematically tested different crRNA chemical modifications, including 2′-O-methylation, phosphorothioate linkage, and an inverted thymidine cap, and their placement to identify key principles for optimized Cas13 targeting. We also developed effective Cas13 ribonucleoprotein (RNP) complexes, providing a platform for non-viral delivery of Cas13. We demonstrated the utility of transcriptome engineering in several different applications, such as targeting endogenous human transcripts, antiviral defense against SARS-CoV-2 through the targeting the common leader sequence of viral subgenomic RNAs in a reporter construct, and in human primary cells, where CRISPR modifications have historically been challenging (in this case, primary CD8+ and CD4+ T cells). Our study highlights the utility of optimized, chemically modified crRNAs for efficient transcriptome engineering. We anticipate that chemically modified crRNAs for RNA-targeting CRISPRs will be useful for both in vitro RNA diagnostics and in vivo where DNA editing is not feasible or desirable.
Acknowledgements
We thank the entire Sanjana laboratory for support and advice. N.E.S. is supported by NYU and NYGC startup funds, NIH/NHGRI (DP2HG010099), NIH/NCI (R01CA218668), NIH/NIGMS (R01GM138635), DARPA (D18AP00053), the Cancer Research Institute, and the Brain and Behavior Foundation. M.L. is a Hope Funds for Cancer Research fellow.
Footnotes
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Declaration of Interests
The New York Genome Center and New York University have applied for patents relating to the work in this article. M.M. and G.B.R. are employees of NEB. A.K., J.W., and K.H. are employees and shareholders of Synthego Corporation. N.E.S. is an adviser to Vertex and Qiagen.
References
- Abbott TR, Dhamdhere G, Liu Y, Lin X, Goudy L, Zeng L, Chemparathy A, Chmura S, Heaton NS, Debs R, et al. (2020). Development of CRISPR as an Antiviral Strategy to Combat SARS-CoV-2 and Influenza. Cell 181, 865–876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Abudayyeh OO, Gootenberg JS, Essletzbichler P, Han S, Joung J, Belanto JJ, Verdine V, Cox DBT, Kellner MJ, Regev A, et al. (2017). RNA targeting with CRISPR-Cas13. Nature 550, 280–284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arizti-Sanz J, Freije CA, Stanton AC, Boehm CK, Petros BA, Siddiqui S, Shaw BM, Adams G, Kosoko-Thoroddsen TSF, Kemball ME, et al. (2020). Integrated sample inactivation, amplification, and Cas13-based detection of SARS-CoV-2. BioRxiv, posted May 28, 2020. 10.1101/2020.05.28.119131 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barnes KG, Lachenauer AE, Nitido A, Siddiqui S, Gross R, Beitzel B, Siddle KJ, Freije CA, Dighero-Kemp B, Mehta SB, et al. (2020). Deployable CRISPR-Cas13a diagnostic tools to detect and report Ebola and Lassa virus cases in real-time. Nat. Commun 11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Basila M, Kelley ML, and Smith AVB (2017). Minimal 2’-O-methyl phosphorothioate linkage modification pattern of synthetic guide RNAs for increased stability and efficient CRISPR-Cas9 gene editing avoiding cellular toxicity. PLoS One 12, 1–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blanchard EL, Vanover D, Bawage SS, Tiwari PM, Rotolo L, Beyersdorf J, Peck HE, Bruno NC, Hincapie R, Michel F, et al. (2021). Treatment of influenza and SARS-CoV-2 infections via mRNA-encoded Cas13a in rodents. Nat. Biotechnol [DOI] [PubMed] [Google Scholar]
- Cox DBT, Gootenberg JS, Abudayyeh OO, Franklin B, Kellner MJ, Joung J, and Zhang F (2017). RNA editing with CRISPR-Cas13. Science . 0180, 1–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cromwell CR, Sung K, Park J, Krysler AR, Jovel J, Kim SK, and Hubbard BP (2018). Incorporation of bridged nucleic acids into CRISPR RNAs improves Cas9 endonuclease specificity. Nat. Commun 9, 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cui J, Techakriengkrai N, Nedumpun T, and Suradhat S (2020). Abrogation of PRRSV infectivity by CRISPR-Cas13b-mediated viral RNA cleavage in mammalian cells. Sci. Rep 10, 9617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fozouni P, Son S, Díaz de León Derby M, Knott GJ, Gray CN, D’Ambrosio MV, Zhao C, Switz NA, Kumar GR, Stephens SI, et al. (2020). Amplification-free detection of SARS-CoV-2 with CRISPR-Cas13a and mobile phone microscopy. Cell 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Freije CA, Myhrvold C, Boehm CK, Lin AE, Welch NL, Carter A, Metsky HC, Luo CY, Abudayyeh OO, Gootenberg JS, et al. (2019). Programmable Inhibition and Detection of RNA Viruses Using Cas13. Mol. Cell 76, 826–837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gootenberg JS, Abudayyeh OO, Lee JW, Essletzbichler P, Dy AJ, Joung J, Verdine V, Donghia N, Daringer NM, Freije CA, et al. (2017). Nucleic acid detection with CRISPR-Cas13a/C2c2. Science (80-. ). 356, 438–442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gootenberg JS, Abudayyeh OO, Kellner MJ, Joung J, Collins JJ, and Zhang F (2018). Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a and Csm6. Science (80). 360, 439–444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Granados-Riveron JT, and Aquino-Jarquin G (2018). CRISPR–Cas13 Precision Transcriptome Engineering in Cancer. Cancer Res. 4107–4114. [DOI] [PubMed] [Google Scholar]
- Guo X, Wessels H-H, Méndez-Mancilla A, Haro D, and Sanjana NE (2020). Transcriptome-wide Cas13 guide RNA design for model organisms and viral RNA pathogens. BioRxiv. posted August 21, 2020. 10.1101/2020.08.20.259762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hendel A, Bak RO, Clark JT, Kennedy AB, Ryan DE, Roy S, Steinfeld I, Lunstad BD, Kaiser RJ, Wilkens AB, et al. (2015). Chemically modified guide RNAs enhance CRISPR-Cas genome editing in human primary cells. Nat. Biotechnol 33, 985–989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jiang T, Henderson JM, Coote K, Cheng Y, Valley HC, Zhang XO, Wang Q, Rhym LH, Cao Y, Newby GA, et al. (2020). Chemical modifications of adenine base editor mRNA and guide RNA expand its application scope. Nat. Commun 11, 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Joung J, Ladha A, Saito M, Kim NG, Woolley AE, Segel M, Barretto RPJ, Ranu A, Macrae RK, Faure G, et al. (2020). Detection of SARS-CoV-2 with SHERLOCK One-Pot Testing. N. Engl. J. Med 2018–2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim D, Lee JY, Yang JS, Kim JW, Kim VN, and Chang H (2020). The Architecture of SARS-CoV-2 Transcriptome. Cell 181, 914–921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konermann S, Lotfy P, Brideau NJ, Oki J, Shokhirev MN, and Hsu PD (2018). Transcriptome Engineering with RNA-Targeting Type VI-D CRISPR Effectors. Cell 173, 665–676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kushawah G, Hernandez-Huertas L, Abugattas-Nuñez del Prado J, Martinez-Morales JR, DeVore ML, Hassan H, Moreno-Sanchez I, Tomas-Gallardo L, Diaz-Moscoso A, Monges DE, et al. (2020). CRISPR-Cas13d Induces Efficient mRNA Knockdown in Animal Embryos. Dev. Cell 54, 805–817. [DOI] [PubMed] [Google Scholar]
- Lai MMC (1986). Coronavirus leader- RNA- primed transcription: An alternative mechanism to RNA splicing. BioEssays 5, 257–260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee K, Mackley VA, Rao A, Chong AT, Dewitt MA, Corn JE, and Murthy N (2017). Synthetically modified guide RNA and donor DNA are a versatile platform for CRISPR-Cas9 engineering. Elife 6, 1–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li J, Chen Z, Chen F, Xie G, Ling Y, Peng Y, Lin Y, Luo N, Chiang CM, and Wang H (2020). Targeted mRNA demethylation using an engineered dCas13b-ALKBH5 fusion protein. Nucleic Acids Res. 48, 5684–5694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McMahon MA, Prakash TP, Cleveland DW, Bennett CF, and Rahdar M (2018). Chemically Modified Cpf1-CRISPR RNAs Mediate Efficient Genome Editing in Mammalian Cells. Mol. Ther 26, 1228–1240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patchsung M, Jantarug K, Pattama A, Aphicho K, Suraritdechachai S, Meesawat P, Sappakhaw K, Leelahakom N, Ruenkam T, Wongsatit T, et al. (2020). Clinical validation of a Cas13-based assay for the detection of SARS-CoV-2 RNA. Nat. Biomed. Eng 4. [DOI] [PubMed] [Google Scholar]
- Ribas A, and Wolchok JD (2018). Cancer immunotherapy using checkpoint blockade. Science (80). 359, 1350–1355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ryan DE, Taussig D, Steinfeld I, Phadnis SM, Lunstad BD, Singh M, Vuong X, Okochi KD, McCaffrey R, Olesiak M, et al. (2018). Improving CRISPR-Cas specificity with chemical modifications in single-guide RNAs. Nucleic Acids Res. 46, 792–803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smargon AA, Shi YJ, and Yeo GW (2020). Metagenomic Discovery To Transcriptomic Engineering. Nat. Cell Biol 22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smith TT, Stephan SB, Moffett HF, McKnight LE, Ji W, Reiman D, Bonagofski E, Wohlfahrt ME, Pillai SPS, and Stephan MT (2017). In situ programming of leukaemia-specific t cells using synthetic DNA nanocarriers. Nat. Nanotechnol 12, 813–822. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang H, Nakamura M, Abbott TR, Zhao D, Luo K, Yu C, Nguyen CM, Lo A, Daley TP, and Russa M La (2019). CRISPR-mediated live imaging of genome editing and transcription. Science (80). 2–6. [DOI] [PubMed] [Google Scholar]
- Wang SR, Wu LY, Huang HY, Xiong W, Liu J, Wei L, Yin P, Tian T, and Zhou X (2020). Conditional control of RNA-guided nucleic acid cleavage and gene editing. Nat. Commun 11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wessels HH, Méndez-Mancilla A, Guo X, Legut M, Daniloski Z, and Sanjana NE (2020). Massively parallel Cas13 screens reveal principles for guide RNA design. Nat. Biotechnol 38, 722–727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wienert B, Shin J, Zelin E, Pestal K, and Corn JE (2018). In vitro–transcribed guide RNAs trigger an innate immune response via the RIG-I pathway. PLoS Biol. 16, 1–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang LZ, Wang Y, Li SQ, Yao RW, Luan PF, Wu H, Carmichael GG, and Chen LL (2019). Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 Systems. Mol. Cell 76, 981–997. [DOI] [PubMed] [Google Scholar]
- Yin H, Song CQ, Suresh S, Wu Q, Walsh S, Rhym LH, Mintzer E, Bolukbasi MF, Zhu LJ, Kauffman K, et al. (2017). Structure-guided chemical modification of guide RNA enables potent non-viral in vivo genome editing. Nat. Biotechnol 35, 1179–1187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang C, Konermann S, Brideau NJ, Lotfy P, Wu X, Novick SJ, Strutzenberg T, Griffin PR, Hsu PD, and Lyumkis D (2018). Structural Basis for the RNA-Guided Ribonuclease Activity of CRISPR-Cas13d. Cell 175, 212–223. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data will be shared by the lead contact upon request. This paper does not report original code. Cas13 guide RNAs were designed using cas13design (https://cas13design.nygenome.org/). Additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.