This manuscript describes a Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) CRISPR-Cas9-based method for simple and expeditious investigation of the role of multiple candidate genes in Acute Myeloid Leukemia (AML) cell proliferation in parallel. This technique is scalable and can be applied in other cancer cell lines as well.
Gene perturbation studies have been extensively used to investigate the role of individual genes in AML pathogenesis. For achieving complete gene disruption, many of these studies have made use of complex gene knockout models. While these studies with knockout mice offer an elegant and time-tested system for investigating genotype-to-phenotype relationships, a rapid and scalable method for assessing candidate genes that play a role in AML cell proliferation or survival in AML models will help accelerate the parallel interrogation of multiple candidate genes. Recent advances in genome-editing technologies have dramatically enhanced our ability to perform genetic perturbations at an unprecedented scale. One such system of genome editing is the CRISPR-Cas9-based method that can be used to make rapid and efficacious alterations in the target cell genome. The ease and scalability of CRISPR/Cas9-mediated gene-deletion makes it one of the most attractive techniques for the interrogation of a large number of genes in phenotypic assays. Here, we present a simple assay using CRISPR/Cas9 mediated gene-disruption combined with high-throughput flow-cytometry-based competition assays to investigate the role of genes that may play an important role in the proliferation or survival of human and murine AML cell lines.
The past few decades have seen numerous research efforts focused on identifying the contribution of key molecular pathways in acute myeloid leukemia (AML) pathogenesis. Traditionally, gene-disruption in AML cells has been performed using conditional knockout mice or short-hairpin RNA (shRNA). While knockout mice offer a sophisticated system for spatio-temporal control of gene-deletion, generating gene knockout mice is labor-intensive, time-consuming and expensive. Furthermore, gene-knockouts using recombination strategies is not easily scalable; these strategies do not lend themselves well to the interrogation of several genes in parallel. After the discovery of RNA interference methods to knock-down endogenous mRNAs using small interfering RNA (siRNA) or shRNA, many groups started using RNA interference techniques to investigate the role of specific genes in AML. Since both murine and human AML cells are notoriously difficult to transfect using traditional lipid-based transfection methods, most studies employed lentivirally or retrovirally-encoded shRNA for studying gene function in AML cells. The recent discovery of clustered regularly interspaced short palindromic repeats (CRISPR) and the associated Cas nucleases (CRISPR-Cas9) has revolutionized gene-targeting technologies1,2,3. Using CRISPR-Cas9, specific genes or genomic regions can be deleted, edited or tagged with efficiency and ease. CRISPR-Cas9-based gene-editing is now emerging as the method of choice for investigating genotype-to-phenotype relationships in diverse cell types due to the simplicity, effectiveness, and broad applicability of this technique. CRISPR-Cas9-based methods are also becoming the method of choice in AML, not only for interrogating individual genes, but also as a way to target multiple genes in arrayed or pooled genetic screens aimed at investigating several genes in parallel as potential AML-dependencies4,5,6.
In this manuscript, we describe a simple competitive growth assay for measuring the impact of gene-disruption on the growth of AML cells, based on stable CRISPR-Cas9-mediated gene-editing followed by high-throughput flow cytometry. This method is simple, efficient, and scalable to medium-throughput experiments for investigating the role of several genes in parallel in AML cells.
1. Generating AML Cell Line Clones with High Expression of Stable and Active Cas9
2. Cloning and Transduction of sgRNAs in AML-Cas9 Cells
3. Competitive Growth Assay
In our study, we first transduced the MOLM13 human AML cell line that bears the MLL-AF9 translocation with high-titer virus encoding the Cas9-blasticidin lentiviral plasmid. In our hands, bulk unsorted MOLM13-Cas9 cells did not display high level Cas9 expression by Western blotting and also did not perform well when assayed for efficient gene editing-using the method described previously7. Therefore, we proceeded to establish single cell clones and only select the clones with high levels of Cas9 as seen by Western blotting (Figure 1). We picked 2 distinct clones and transduced them with sgRNAs targeting a site in the AAVS1 safe-harbor locus as described earlier7. Using genomic DNA extracted from the Puromycin-selected MOLM13-Cas9-AAVS1 sgRNA clones, we performed a PCR using primers spanning the AAVS1 sgRNA cut site and sanger sequenced a specific 268 bp PCR product from 10 isolated colonies for each MOLM13 clone. After alignment with the parental sequence, we found that MOLM13-Cas9 clone B3 and MLL-AF9-Cas9 clone 8 had an efficiency of 100% (data not shown). We then selected these clones displaying high Cas9-mediated genome-editing capability for our sgRNA competition assays. While these studies were being conducted, web-based tools for rapidly testing genome-editing efficiency from Sanger sequences were developed by different groups such as TIDE8 (https://www.deskgen.com/landing/tide.html) or ICE (https://ice.synthego.com/#/). These tools make it extremely easy and cost-effective to assess genome-editing efficiency without having to clone individual fragments and perform sequencing of multiple clones. Therefore, bulk Cas9-expressing cells should first be tested for genome editing efficiency using these methods. In case the genome-editing efficiency is high, then single-cell cloning is not needed. Also, in case that single cell cloning is needed as seen in our studies, these web-based mutational frequency estimation tools offer a much faster method for testing several clones in parallel.
For sgRNA cloning, we made use of the sgRNA cloning plasmid pKLV2-U6gRNA5(BbsI)-PGKpuro2ABFP-W, which harbors a blue fluorescent protein (BFP) for tracking sgRNA transduced cells and an RNA Polymerase III-driven human U6 promoter that drives the expression of the cloned sgRNAs together with the tracer RNA (tracRNA) scaffold. We used this system to clone 2 sgRNAs targeting DOT1L, a protein known to play an important role in the epigenetic regulation of gene expression. DOT1L is a histone methyltransferase that deposits mono, di and tri-methylation at target genes9,10. Studies have shown that DOT1L plays an important role in AML driven by MLL-fusion oncogenes. Therefore, DOT1L knockout using CRISPR-Cas9 is expected to lead to significantly impair mouse MLL-AF9 leukemia cell proliferation in line with previous studies11,12,13,14. We used two sgRNAs targeting the AAVS1 safe harbor locus, which is in the intron of the PPP1R12C gene. sgRNAs producing genomic alterations in this site are not likely to have any effects on the proliferative capacity of MLL-leukemia cell lines. As a positive control, we cloned sgRNAs targeting the DNA replication-associated gene RPA3. RPA3 is a pan-essential gene that has been shown to be important for the proliferation of several AML cell lines4,15,16 . Anti-RPA3 sgRNAs therefore display strong anti-proliferative effects in AML cells and are typically used as a positive control. After the transduction with anti-AAVS1 and anti-RPA3 sgRNA plasmids, we measured the relative proportion of BFP+ve sgRNA transduced cells in comparison to their BFP-ve counterparts every 2–3 days in culture (Figure 3). With the protocol described above, the transduction of MOLM13 or MLL-AF9 AML cells resulted in a 60–70% transduction efficiency with our viral preparations, leaving the remaining 30–40% cells untransduced or BFP-ve in every well. This allows for the study of relative proliferation of genome-edited cells with wild-type cells in the same well. The proportional increase or decrease in percentage of sgRNA transduced cells was used as a measure to reflect the functional effect of sgRNA mediated gene-deletion in the MOLM13-Cas9 cells. If your gene of interest is important for the proliferation of the test AML cells, then sgRNA-mediated disruption of this gene will lead to the relative diminution of the sgRNA-expressing BFP+ve cells in comparison to the BFP-ve cells during the course of the assay, whereas sgRNAs targeting luciferase, GFP or non-essential genes will retain the BFP+ve/-ve ratio over time.
Using 2 separate anti-RPA3 sgRNAs, we observed a progressive and significant decline in the percentage of BFP+ve cells compared to the BFP-ve untransduced counterparts. In contrast, the percentage of anti-AAVS1 sgRNA expressing BFP cells remained relatively constant over time, demonstrating that AAVS1 targeting has no effect on the proliferation of MOLM13 cells (Figure 4a). Similarly, in the mouse MLL-AF9-Cas9 cells, we tested the effects of sgRNAs targeting Rhodopsin (Rho1), the eye pigmentation gene as a negative control and Dot1l, an epigenetic regulator known to be required for the proliferation of MLL-AF9 leukemia cells over time. In this study, BFP+ve mouse MLL-AF9-Cas9 cells transduced with 2 separate anti-DOT1L sgRNAs showed a dramatic and progressive loss over time compared to BFP-ve sgRNA non-transduced cells (Figure 4b). In contrast, the ratio of anti-Rho1 sgRNA remained relatively unchanged over time. These results demonstrate the vulnerability of the MLL-AF9 expressing mouse leukemia cells to Dot1l depletion, confirming previously published results.
Figure 1: Representative Western blot results showing different Cas9 levels. Single cell clones of the MOLM13 AML cell line transduced with CAS9 were probed for flag-Cas9 expression levels using anti-Flag antibodies. Clones showing the highest expression of Cas9 were selected for further studies. HEK293-T cells transfected with a Cas9 expression plasmid were used as a positive control and Cas9 non-transduced MOLM13 cells as negative controls. Please click here to view a larger version of this figure.
Figure 2: Representative analysis of genome editing at the Dot1l locus assessed by ICE analysis. A PCR amplicon centered around the Dot1l sgRNA target site was Sanger sequenced and analyzed using ICE analysis. A comparison of the sgDot1l sequence (orange line) to non-targeted DNA sequence (green line) demonstrates the high level of editing efficiency in sgDot1l targeted cells around the sgRNA target site. Please click here to view a larger version of this figure.
Figure 3: Schematic workflow of the proposed methods. sgRNAs are cloned in sgRNA expression vector co-expressing a fluorescent protein such as BFP. Target cells are transduced at 30–60% transduction rates and followed by flow-cytometry every 2–3 days. sgRNAs targeting genes required for AML cell proliferation will show relative depletion over time as shown. Please click here to view a larger version of this figure.
Figure 4: Representative results from competition assays in human and mouse AML cells. (a) Results show a statistically highly significant progressive decline in RPA3 transduced MOLM13-Cas9 clone B3 cells. In contrast, sgRNAs targeting the AAVS1 site have no effect. (b) sgRNAs targeting Dot1l show a remarkable and progressive decline in competitive proliferation, in contrast to sgRNAs targeting Rhodopsin (Rho). *p > 0.05. **p < 0.05. Error bars represent standard deviation of mean (SD). Please click here to view a larger version of this figure.
Figure 5: General outline of the protocol. (a) Time for each step in the production of Cas9 virus and sgRNA cloning described. Design and cloning of sgRNAs can be performed while generating single clones of AML cell lines with stable Cas9 expression. (b) General protocol for the transduction of AML cell lines with sgRNAs and competitive growth assay using FACS is shown. Please click here to view a larger version of this figure.
Cycles | Duration of Cycle | Temperature |
1 | 2 min | 95 ºC |
35 | 30 s | 95 ºC |
30 s | 55 ºC | |
30 s | 72 ºC | |
1 | 5 min | 72 ºC |
Hold | infinite | 4 ºC |
Table 1: PCR program for AAVS1 locus amplification from Genomic DNA. PCR program used for the amplification of AAVS1 locus from genomic DNA for testing cutting efficiency of Cas9 in Cas9 expressing clones.
Supplementary File: sgRNA oligo sequences. Please click here to download this file.
In this manuscript, we describe a detailed protocol for conducting a CRISPR-Cas9-based competitive growth assay to investigate the role of candidate genes in AML cell lines using flow-cytometry in human/murine AML cells (Figure 5). The goal of the assay is to identify the effect of gene deletion on maintenance of AML cell proliferation over two to three weeks on a medium-throughput scale. Some critical steps need to be followed carefully to facilitate the scaling up of the described protocol. In the production of Cas9 lentivirus, it is necessary to filter the virus conditioned medium through a 0.45 µM filter to avoid the carryover of 293T cells to the virus containing supernatant. During spinfection, wrapping the spinfection plate with cling wrap or parafilm helps avoid potential contamination during centrifugation. However, the wrap should be removed before placing the spinfected plate back in tissue culture incubator. It is very important to assess Cas9-expressing clones for editing efficiency. Clones with low-genome editing efficiency reflect inadequate Cas9 activity and may affect the success-rate of the experiment. In our experiments, we first transduced human AML Cas9 clones with sgRNAs targeting the AAVS1 locus and sequenced their genomic DNAs for editing efficiency. Comparison of the AAVS1 edited and wildtype sequences can be assessed using online web-based tools such as TIDE8 (https://www.deskgen.com/landing/tide.html) or ICE (https://ice.synthego.com/#/). These programs compare Sanger sequence traces of potentially edited PCR fragment to the unedited wildtype or reference sequence and estimate the frequency of changes. This is a rapid way of assessing mutational changes brought about by the test sgRNA, which is the measure of cellular Cas9 activity. Alternatively, cloning of the PCR product into a PCR-cloning plasmid such as the TOPO blunt cloning vector can be performed, followed by Sanger sequencing of individual colonies to assess genome-editing efficiency by sequence alignment of each clone to the wild-type. We prefer the former method, given its ease and cost-effectiveness compared to the cloning method. Typically, the discovery of base pair changes such as point mutations, indels, etc., at or around the sgRNA cutting site in a vast majority of sequenced clones indicate the presence of a highly active Cas9. Thus, we chose MOLM13 or MLL-AF9 leukemia clones B3 and 8, respectively, with the highest editing efficiency for further experiments.
We designed sgRNAs targeting different genes mentioned in the protocol using http://crispr.mit.edu/, a web-based software that gives a list of sgRNAs. It is recommended to select top-scoring sgRNAs from the list in order to eliminate those with predicted off-target effects. The designed sgRNAs can be cloned using any of the published protocols such as the one on (http://www.addgene.org/67974/) website. Sense and antisense oligos are first phosphorylated and annealed as per the Step 2.1.5. The first step at 37 °C is important for phosphorylating the oligos with the T4 kinase and subsequent PCR cycles are important for annealing of the sense and anti-sense oligonucleotides into dsDNA. It is important to have a fluorescent protein in the sgRNA cloning vector which is crucial for tracking sgRNA transduced cells later in the competition assays. sgRNA cloning is scaled up with the use of 96 well plate at all the steps including annealing and ligation. For ligation, clean PCR microtube strips can also be used since they are compatible with multichannel pipettes. In case that the transformation of a larger set of sgRNA clones is needed, a 96-well plate in which 10 μL of the competent cells are pre-aliquoted in each well and frozen at -80 °C can be used to expedite the entire process. The purpose of plating the ligation reactions is to pick individual colonies, which is difficult to perform in the 96-well format. Hence, for bacterial transformation, there is a slight loss in scalability. Still, even for the plating of transformation reactions from an entire 96-well plate, it will only require a total of sixteen 6-well plates for the entire project. One has to be careful in the next step of picking colonies from the transformation plates. While streaking a colony on a labelled spot, ensure that the spot is clearly isolated from the other spots. Marking a square grid on the bottom of the Petri dish with a dark permanent marker helps prevent cross-contamination of bacterial clones.
Once the minipreps of sgRNA constructs are ready, the virus can be made in the 96-well format. At this level of throughput, it is impractical to filter 200 µL of virus containing supernatant. Hence, the viral supernatant should be frozen at least overnight to avoid cross contamination from any 293T cells carried over into the supernatant. It can also be stored in 50 µL aliquots in sterile PCR tube strips to avoid freeze thawing of the supernatant. Further, these virus conditioned supernatants are used for transducing AML cells. In case that low titers of viral transduction are observed, as assessed by low frequency of BFP+ve cells, then it may be important to determine the viral titer and testing transductions at different multiplicity of infections (MOI) to ensure 40-60 percent transduction rates. Viral titer determination and MOI calculation is described in detail here17. In the competition assay, as described in Step 3 of the protocol, it is highly important to exclude non-viable cells to prevent spurious artefacts from auto-fluorescence while analyzing the BFP to non-BFP ratio. At the time of FACS, before analyzing test samples, the use of BFP negative and BFP positive controls is highly recommended to accurately set voltages. At each re-plating time point, the volume of the cells to be re-plated depends on the concentration of cells at the given time-point. We typically re-plated 20 μL from a total of 200 μL at each time-point into a fresh well with 180 μL of fresh medium. Thorough mixing of the cells by gently pipetting up and down just before re-plating is highly recommended. Typically, we have observed that the assay needs to be carried out over 15–20 days to notice strong changes in the BFP+ve/-ve ratios, although this varies from gene to gene.
This experimental set-up is well suited to testing several genes in parallel in multiple AML cell lines to expeditiously identify the role of candidate genes in the survival or proliferation of AML cells. One caveat of the competitive proliferation assay described here is that it does not consider potential cell-extrinsic factors such as paracrine signaling events from gene-targeted cells that may influence the non-targeted cell population within the same well. Even though this might be a rare occurrence, this factor should be borne in mind when conducting this assay. Although we have used AML as an example for the CRISPR-Cas9-based competition assays described in this manuscript, this method can be used for any cancer cell line to identify the role of multiple genes in parallel. There are various advantages of gene-deletion using CRISPR-Cas9 over gene-knockdown using RNA interference. Firstly, in contrast to shRNAs, which typically show a broad range of target mRNA inhibition, sgRNAs coupled with the Cas9 nuclease effectuate complete knockout of target genes. This may result in more dramatic and consistent phenotypes with CRISPR-Cas9-based methods, even though it must be cautioned that the targeting efficiency of individual sgRNAs as well as shRNAs may vary widely.
The flow-cytometry-based competition assay offers several advantages over traditional proliferation assays in which a fixed number of cells are plated to measure the relative proliferative activity of gene-perturbed cells. One advantage is that the relative proliferative activity of cells can be easily and rapidly measured by flow-cytometry for several days, bypassing the need for cell counting at every plating step. This is useful when testing a large number of candidate sgRNAs targeting several genes, as counting all of the wells is cumbersome and may lead to inaccuracies. Unlike, ATP-based measurement assays for cell growth, flow-cytometry can be performed on a sampling of live cells, which makes this method helpful for long-term analysis. This is especially beneficial in the study of factors such as epigenetic modulators, which may show late-acting effects on proliferation of AML cells and may require long-term assays. Secondly, the presence of non-transduced cells within the same well allows for a well-controlled cell population that can be used to set the baseline for the assay. Thirdly, when set-up in a 96-well format, the assay can almost completely be conducted using multi-channel pipettes, substantially speeding up the entire process from cloning of sgRNAs to virus preparation and eventually flow-cytometric assessment of fluorescence.
The method described here can be efficiently scaled-up for the investigation of up to 96 sgRNAs in parallel in an arrayed screen. Assuming 4–6 sgRNAs per gene, this method can therefore be used for the rapid interrogation of at least 16–24 genes in parallel. In case of larger number of genes, such as an entire molecular pathway that needs to be interrogated in AML cells, pooled CRISPR-Cas9-based screens will be more useful.
The authors have nothing to disclose.
The pCW-Cas9 plasmid was a gift from Eric Lander & David Sabatini (Addgene plasmid # 50661) and the pKLV2-U6gRNA5(BbsI)-PGKpuro2ABFP-W plasmid from the Yusa lab (Addgene plasmid #67974. We would like to thank the Flow Cytometry core at SBP Medical Discovery Institute for timely help with flow analysis and sorting. We would like to acknowledge the support of the Lady Tata Memorial Foundation to A.D. We would like to also acknowledge the support of the following funding sources: NIH/NCI P30 CA030199 Cancer Center Sponsored Grant, the V-Foundation and the San Diego NCI Cancer Centers (C3) #PTC2017to A.J.D.
FLAG-M2 Antibody | sigma-aldrich | F3165, lot # SLBS3530V | |
Anti-mouse Antibody | Invitrogen | 31446, lot # TA2514341 | |
SuperSignal West Femto Maximum Sensitivity Substrate | Thermo Fisher | 34095 | |
ChemiDoc Imaging System | BIO RAD | 17001401 | |
Sorvall Legend RT centrifuge | Thermo Scientific | ||
Blasticidin | Thermo Fisher | R21001 | |
SYTOX Red | Thermo Fisher | S34859 | |
Opti-MEM | Thermo Fisher | 31985062 | |
DMEM | Thermo Fisher | 11965-092 | |
RPMI | Thermo Fisher | 11875-093 | |
Penicillin-Streptomycin | Thermo Fisher | 15140122 | |
L-Glutamine (200 mM) | Thermo Fisher | 25030081 | |
Fetal Bovine Serum (FBS) | SAFC | 12303C | |
single gRNA vector | Addgene #67974 | pKLV2-U6gRNA5(BbsI)-PGKpuro2ABFP-W | |
CelLytic Nuclear extraction kit | sigma-alorich | NXTRACT | |
XtremeGENE 9 | sigma-alorich | 6365787001 | |
Retronectin | Takara | T100B | |
Flow cytometer | BD Biosciences | ||
T4 PNK | NEBioLabs | M0201S | |
T4 DNA ligation buffer | NEBioLabs | B0202S | |
T4 DNA Ligase enzyme | NEBioLabs | M0202S | |
Ampicillin | Fisher scientific | BP1760-25 | |
LB agar | Fisher scientific | BP9724-500 | |
LB Broth | Fisher scientific | BP9731-500 | |
Qiagen mini-prep kit | Qiagen | 27104 | |
NanoDrop Spectrophotometer | Thermo Fisher | NanoDrop One | |
Recombinant Murine IL-3 | Peprotech | 213-13 | |
Recombinant Murine IL-6 | Peprotech | 216-16 | |
Recombinant Murine M-CSF | Peprotech | 315-02 | |
Stable competent cells | NEBiolabs | C3040I | |
10 cm Tissue Culture dishes | Fisher Scientific | 353003 | |
Cell lysis solution | Qiagen | 158906 | |
Protein precipitation solution | Qiagen | 158910 | |
DNA hydration solution | Qiagen | 158914 | |
QIAquick Gel Extraction Kit | Qiagen | 28704 | |
BbSI | New England BioLabs | R0539S | |
APEX 2.0 X Taq Red Master Mix Kit | Genessee Scientific | 42-138 | |
Puromycin | Fisher scientific | BP2956100 | |
50 mL polypropylene conical tubes | Fisher scientific | 1495949A | |
15 mL polypropylene conical tubes | Fisher scientific | 1495970C |