This protocol describes a scalable intraductal CRISPR screening approach enabling parallel in vivo gene knockout and activation studies in the mouse mammary gland.
Method Article
khalid.alzahrani@utoronto.ca
schramek@lunenfeld.ca
Corresponding Authors: Khalid N. Al-Zahrani <khalid.alzahrani@utoronto.ca>, Daniel Schramek <schramek@lunenfeld.ca>
* These authors contributed equally
This protocol describes a scalable intraductal CRISPR screening approach enabling parallel in vivo gene knockout and activation studies in the mouse mammary gland.
Forward genetics screens are routinely employed to perturb thousands of genetic elements in a pooled fashion with the goal of producing large-scale genotype-to-phenotype maps. While often carried out in cell culture systems, accumulating evidence supports that in vivo screens have the power to unveil new biology that cannot be recapitulated in vitro. However, the widespread application of this approach has been limited by two major challenges: a predominant focus on loss-of-function perturbations rather than gene activation and the significant technical hurdles of delivering complex genetic libraries to specific tissues in vivo. To overcome these challenges, we describe a simple and versatile intraductal injection strategy that enables efficient and rapid functional genomic screening in the mouse mammary gland, by generating tens of thousands of discrete epithelial clones. Furthermore, we provide all the details necessary for library generation, intraductal injection, screen deconvolution, and analysis of CRISPR-Knockout and Activation libraries for comprehensive in vivo screens. Using these tools, which we termed CRISPR-KOALA (Knockout and Activation Linked Assay), we have identified new tumor suppressors and oncogenes within the coding and non-coding genome in pooled libraries ranging from 46 loci to one-fifth of the genome. Importantly, this approach and analysis can be applied to other organs to study the biological function of any gene during homeostasis or disease.
Functional genomics screens provide a powerful framework to interrogate gene function at scale1. The development of CRISPR-Cas gene editing technologies has enabled the systematic perturbation of hundreds-to-thousands of genes in parallel, and pooled CRISPR-based screens in mammalian cell lines have become a cornerstone of modern cancer biology research2. These in vitro approaches have identified essential genes3, tumor suppressors4, and synthetic lethal interactions5 across diverse cancer contexts. However, one central limitation is an inability to capture the complex biological features of tumors in vivo, including interactions with the immune system and stroma, nutrient gradients, and tissue architecture within the microenvironment2. Consistent with this limitation, recent studies have demonstrated that many bona fide cancer driver genes fail to exert measurable effects in vitro, particularly when their function depends on microenvironmental cues that are absent in cell culture6,7,8,9,10.
The mouse mammary gland provides a uniquely advantageous tissue context for in vivo functional genomics screening. Mammary epithelial cells are highly regenerative, undergo rounds of clonal expansion during estrous cycling, and are organized into a branched ductal network that can be readily accessed and genetically manipulated11,12,13. These features have supported decades of mosaic genetic analyses and lineage-tracing experiments and establish the mammary gland as a tractable system for interrogating cell-intrinsic and microenvironment-dependent gene function during tissue homeostasis and disease14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33. Importantly, genetic perturbations can be restricted to the epithelial compartment, enabling direct study of epithelial-specific drivers of transformation, cell competition, lineage fidelity, and tumor progression in an intact tissue context.
While several strategies have been developed to deliver genetic perturbations directly to the adult mammary gland in situ, significant technical hurdles remain for high-throughput applications. Adenovirus-mediated delivery of Cre recombinase has been widely used to induce somatic recombination of conditional alleles in the adult mammary gland34,35,36,37, offering an efficient means to manipulate gene function without the complex germline breeding required for traditional genetically engineered mouse models (GEMMs). While high-titer adenovirus can also deliver CRISPR-Cas9 components to tissue-resident cells, these vectors do not integrate into the host genome38,39,40,41,42,43,44,45,46,47,48,49. This severely limits the scale of screens to ~10–55 genes, as each gRNA target site must be sequenced individually using molecular inversion probes38,39,40,41,42,43,44,45,46,47. Furthermore, current existing intraductal delivery methods enable direct access to the mammary ductal system but require either invasive surgical exposure of the mammary gland50 or rely on the use of comparatively large Hamilton syringes that are cumbersome51. While effective for localized delivery of virus, these approaches are comparatively invasive, technically challenging, and not optimized for scalable delivery of pooled lentiviral libraries. Collectively, these studies demonstrate that in situ viral perturbations are feasible, but current tools do not support the stable, pooled, sequence-retrievable perturbations required for high-throughput in vivo CRISPR screening.
To address these limitations, we and others have turned to integrating lentiviral vectors, which enable stable and heritable genetic modifications. In contrast to cell culture systems, in vivo tissues impose strict constraints on the number of perturbed cells that can be generated within a single organ, rendering genome-wide screening impractical. Consequently, in vivo CRISPR screens necessitate the design of biologically informed, targeted libraries that balance coverage with feasibility. Furthermore, most in vivo CRISPR screens, reviewed here2, have focused almost exclusively on lentiviral loss-of-function perturbations, despite increasing evidence that gene activation can reveal complementary and non-overlapping biological insights52,53,54,55. We and others have previously demonstrated that integrating lentiviral CRISPR perturbations into the adult mammary epithelium enables stable, heritable genetic modification in situ and that they can be recovered and quantified from genomic DNA36,55,56,57,58. Using this approach, we performed pooled in vivo CRISPR screens that identified new drivers of oncogenic transformation36,55, establishing both the feasibility and biological relevance of lentiviral delivery and CRISPR screening. However, these studies also highlighted the need for a simple, standardized, and scalable protocol that could be broadly adopted and extended to include both loss- and gain-of-function screening models within the same gland.
Here, we describe a simple and versatile intraductal injection strategy that enables parallel in vivo screening of CRISPR-knockout and activation libraries, termed CRISPR-KOALA, within the adult mouse mammary gland55. CRISPR-KOALA employs either a conventional 20-21 bp ‘single-guide’ (sg)RNA for CRISPR-KO capabilities or a 14 bp ‘dead-guide’ (dg)RNA for CRISPR-A. The dgRNA efficiently guides Cas9 to its target site but prevents Cas9 endonuclease activity59,60,61, and thus allows the use of a single mouse expressing active Cas9 for both knockout and activation modalities. Introducing two PP7 hairpins into the dgRNA trcr enables the recruitment of a PP7 Coat Protein:P65:HSF1 transactivator62 and leads to efficient overexpression of genes in vivo55 (Figure 1). By combining targeted gRNA library design with high-titer lentiviral production and non-surgical intraductal delivery using glass microcapillaries, this approach generates tens of thousands of spatially discrete epithelial clones while preserving tissue architecture and microenvironmental interactions. Importantly, lentiviral integration into the host genome enables the recovery and quantification of gRNAs via high-throughput sequencing, enabling pooled functional genomic screens in vivo. Together, this allows parallel or simultaneous (in the same cell) CRISPR-KO and CRISPR-A perturbations within the same mammary gland of a Cas9-expressing mouse.
We present a detailed step-by-step protocol encompassing gRNA library design, lentiviral production and concentration, intraductal delivery, library deconvolution, and data analysis (Figure 1). Together, this method provides a practical and scalable framework for in vivo CRISPR knockout and/or activation screening in the mouse mammary gland and can be adapted to study gene function during tissue homeostasis, different disease contexts, other tissues, and other species such as the rat.
All animal procedures were performed in accordance with the guidelines of the Canadian Council on Animal Care and were approved by The Centre for Phenogenomics Animal Care Committee (protocol 26-0272H).
1. CRISPR library cloning
NOTE: This section describes pooled cloning of CRISPR knockout and CRISPR activation libraries from array-synthesized oligonucleotides into lentiviral backbones. We routinely generate libraries containing up to 4,000 gRNAs, which can be screened at 400X-1,000X coverage in 8-20 mice. The number of gRNAs and coverage can be adjusted as needed, which will affect the number of mice required to maintain statistical power. We recommend maintaining a minimum coverage of 400X, which can be sufficient for strong gain-of-function phenotypes.
2. Lentiviral production for in vivo screening
NOTE: For intraductal delivery and in vivo pooled screening, lentiviral preparations must be concentrated to achieve high titers (ideally between 1 x 108 pfu/mL and 1 x 109 pfu/mL) to ensure efficient transduction of mammary epithelial cells. The following protocol describes high-titer lentiviral production optimized for in vivo use.
3. Intraductal lentiviral injection into the mouse mammary gland
4. Genomic DNA isolation from mammary glands and tumors
NOTE: Euthanize mice through CO2 exposure or overdose of anesthetics followed by cervical dislocation, in accordance with animal care guidelines. Harvest mammary glands or mammary tumors at the desired timepoints or at humane endpoint according to regulatory guidelines. Infected cells have been harvested as early as 48 h post lentiviral infection36,55 or as late as 5+ months post injection in wildtype mice36, or >24 months in oncogenic backgrounds55. The following steps should be done in a space cleaned with DNA Erase and with equipment that is free of plasmids containing sgRNA/dgRNA cassettes. Even trace amounts of plasmid DNA are sufficient to result in contamination of tissue samples, and subsequent deep sequencing PCRs and negative (no tissue) controls should be run to ensure clean preparations.
5. Next-generation sequencing of CRISPR libraries
NOTE: Generate a reference sample to enable calculation of gRNA fold changes over time. Transduced MEFs (Section 2) or mammary glands (Section 4) harvested 3 days post-infection, as well as the original plasmid maxiprep, can be used to determine guide representation in the starting library and viral stock.
Here, we provide a protocol for pooled in vivo CRISPR screening in the mouse mammary gland. This pipeline can be used end-to-end to design and amplify pooled gRNA libraries from oligonucleotide arrays, clone the gRNA libraries into lentiviral backbones, produce high-titer lentivirus, perform intraductal delivery of pooled lentiviral libraries into the adult mammary gland, and recover gRNAs for sequencing-based deconvolution of library representation (Figure 1).
Successful amplification and cloning of pooled gRNA libraries are first assessed by agarose gel electrophoresis. PCR amplification of gRNA libraries yields discrete bands indicating uniform amplification from pooled oligonucleotide chip arrays (Figure 2A). Restriction digestion of the pXPR502 PPH-Cre and pLKO Cre backbones results in clear separation of the linearized backbone from the stuffer fragment (Figure 2B,C). Efficient digestion and clean recovery of the backbone are critical for minimizing background ligation and achieving high library complexity during cloning.
An important consideration for the use of CRISPR-KOALA is the efficiency of dgRNAs in combination with live Cas9 compared with other conventional approaches that use full-length sgRNAs and dead Cas9. We have previously shown that dgRNAs with live Cas9 are sufficient to induce gene activation at approximately 50-85% the efficiency of full-length sgRNAs55. To compensate for this reduction in activation and to overcome the potential of more inefficient dgRNAs as compared to sgRNAs, we aim to include twice as many dgRNAs per gene in our library design. As this methodology is limited to using live Cas9 for gene knockout, we reasoned that this level of activation was sufficient for CRISPR screening. To test this, we performed dgRNA-mediated gene activation of several endogenous genes, including Erbb2, Esr1, and Plgrkt, and achieved robust expression at both the mRNA and protein level55. Importantly, we regularly achieved a 3- to 10-fold increase in target gene expression, which is often more physiologically relevant than the 100- to 1,000-fold increases observed with several conventional CRISPR-A systems.
Library complexity following ligation and electroporation is evaluated by plating serial dilutions of transformed bacteria. Successful library cloning is indicated by dense and evenly distributed colonies in ligation reactions compared with few colonies on the backbone-only negative control plates (Figure 3). Colony numbers on dilution plates are used to estimate library representation, aiming for greater than 1,000-fold coverage (e.g., 1,000 bacterial colonies per gRNA in the library). Insufficient coverage or high background on the negative control plates indicates suboptimal ligation and/or electroporation. In this case, these steps should be repeated prior to the large-scale expansion of the bacterial cultures.
For intraductal mammary gland injections and pooled in vivo screening, lentiviral preparations must be concentrated to achieve sufficiently high functional titers. High-titer viral production can be validated by functional titration using LSL-tdTomato mouse embryonic fibroblasts (MEFs, JAX# 007909), as both the pLKO and pXPR502 backbones highlighted in this protocol express Cre. However, alternative methods for other backbones may be used as necessary (e.g., using a different fluorescent reporter or antibiotic selection within the lentiviral backbone). Efficient lentiviral preparations show a clear, dose-dependent induction of tdTomato expression with a linear range, enabling calculation of functional titers (Figure 4A–D). For pooled and multiplexed CRISPR-KO and CRISPR-A screens, lentiviruses are produced, concentrated, and titered separately, and functional titers are used to normalize and mix the two lentiviral libraries at defined ratios prior to infection.
Correct and efficient delivery of pooled lentiviral libraries into the adult mammary gland is required to optimally infect the mammary epithelium. Proper placement of the glass microcapillary with the nipple to allow access to the mammary duct (Figure 5A) is crucial to spread the lentivirus through the ductal tree. A suitable-sized needle tip allows loading of the lentivirus within the needle itself while enabling entry into the mammary duct with minimal resistance. Successful injections can be seen by uniform spreading of Fast Green dye throughout the mammary ductal tree, visible externally within the glands immediately post-injection (Figure 5B). In contrast, failed injections are characterized by pooling of dye beneath the nipple, reflecting delivery into the mammary fat pad rather than the mammary duct (Figure 5C). Immunohistochemical staining of mammary tissue sections can be used to confirm infection of epithelial cells (Figure 5D), and flow cytometry can be used to quantify the proportion of luminal and basal epithelial cell infections (Figure 5E), both validating the successful targeting of mammary epithelial cells following intraductal delivery.
Once genomic DNA has been recovered, it is PCR amplified for next-generation deep sequencing to quantify which gRNAs have been enriched in a particular sample. Following PCR, products are separated by gel electrophoresis, which should yield lentiviral-specific products (Figure 1 and Figure 6). Occasional non-specific amplification may be observed, particularly in CRISPR-A samples (Figure 6B), although this product is usually greater than 1,000 bp and well separated from the product of interest; however, the presence of a strong band at the expected size indicates successful library recovery. No-template control reactions should yield no detectable band, and the presence of amplification in these controls suggests contamination, which will compromise downstream library quantification (Figure 7A). If this contamination is observed, each primer stock should be tested using water as a template to identify the source of contamination, with those primer(s) being replaced immediately. Purified amplicons are pooled at equimolar ratios and sequenced on a short-read Illumina sequencing platform for downstream guide quantification.
Sequencing of libraries provides a clear metric of the success of library cloning and viral production. Optimally produced and quality-controlled libraries show an even representation across gRNAs with no (or very few) guides absent from transduced cells (Figure 7B). For large libraries, the dropout of a small number of gRNAs will not have a strong impact on the performance of the library if the remaining gRNAs for each gene are well-represented.
Thus far, this screening approach has been predominantly used to assess the propensity for single clonal genetic perturbations to drive mammary epithelial cell transformation and tumor outgrowth in tumor-sensitized genetic backgrounds36,55. Dissection and sequencing of an individual clonal tumor often reveals clonal enrichment of a single gRNA, which can be classified as a screen hit (Figure 7C). In some cases, tumors have two or more gRNAs present at approximately equal proportions. These can either be the result of double infection or two clones growing together into a single tumor mass. It is sometimes possible to disentangle these two possibilities by sampling multiple areas of the same tumor, however this degree of granularity is usually not required. True hits are easily separated from multiple infections by their prevalence across many tumors in the screen, while random bystanders will not re-occur across multiple tumors. Our standard approach for calling hits across a screen is to set a read count cutoff of 80%, wherein any gRNA that possesses at least 80% of the read counts within a given sample is called a hit. Quantifying the number of these hits across all the sequenced tumors will identify which genes have the strongest phenotypic effects.
This method can also be used on mammary glands prior to tumor formation by assessing gRNA abundances through tools such as MAGeCK71. In this setting, this approach works well in the context of enrichment screening. While testing for depletion is possible, it requires much higher coverage, and the resulting data may be less reliable, as it is statistically challenging to determine whether a gRNA was depleted or simply was not present at the onset of the screen. CRISPR-StAR offers a valuable alternative technology in this regard9,10 but needs to be optimized for in vivo screening in GEMMs.
Together, these representative results provide quality-control benchmarks for each major step of the pooled in vivo CRISPR screening workflow, from library cloning and viral production to intraductal delivery and sequencing-based deconvolution.

Figure 1: Schematic representation of the in vivo screening pipeline for the mouse mammary gland. This protocol includes the design of gRNA library oligonucleotide chips, library PCR and cloning, lentiviral preparations, intraductal mammary gland injections, and subsequent downstream analysis to deconvolute hits. Please click here to view a larger version of this figure.

Figure 2: gRNA library amplification and cloning. Representative agarose gel images for (A) gRNA library PCR reactions, (B) digested pXPR502 PPH Cre backbone, and (C) digested pLKO Cre backbone. Please click here to view a larger version of this figure.

Figure 3: Representative images of serial dilution of bacterial pool transduced with the gRNA library following electroporation. Please click here to view a larger version of this figure.

Figure 4: Lentiviral titering. (A–D) Representative flow cytometry for the calculation of viral titers from an example (A and B) low titer and (C and D) high titer viral prep. In both cases, LSL-tdTomato MEFs were transduced with Cre-expressing viruses as indicated in Section 2.5. (E) Representative results of count comparison between deep sequenced plasmid and transfected cells showing one poorly represented library (left), with a large variation in counts and many low-count gRNAs, compared to a well-represented library with a tighter distribution. Please click here to view a larger version of this figure.

Figure 5: Intraductal injection of the mammary gland. (A) View of the glass needle inserted into the nipple. (B) Successful injection indicated by dye permeating through the tree as viewed from the exterior of the mouse (left) or in a mammary gland dissected immediately after injection (right). (C) Failed mammary injection, indicated by pooling of dye underneath the nipple. (D) Mammary sections stained with anti-GFP showing infected cells. (E) Representative flow cytometry plots showing GFP+ infected luminal and basal cells. Please click here to view a larger version of this figure.

Figure 6: Sequencing-based deconvolution of samples. Representative deep sequencing gels from (A) MEF samples and plasmid and (B) tumor samples. Note that the 1 kb band for some CRISPR-A samples is a non-specific band and should be disregarded. The constructs contributing to the sample are indicated above the wells (KO for pLKO, and A for pXPR502). Variation in band intensity is normal, but a complete absence of a band indicates a failed reaction. Please click here to view a larger version of this figure.

Figure 7: Library representation and representative results of tumor deep sequencing. (A) Mapping results for a successfully sequenced tumor in comparison to a contaminated deep sequencing reaction, in which many reads cannot be mapped to the library. (B) Representative results showing sequencing from a plasmid, a clonal tumor, and a region from the mammary gland. Please click here to view a larger version of this figure.
Table 1: Library design and primers.Please click here to download this file.
Table 2: List of deep sequencing primers.Please click here to download this file.
A key consideration for pooled in vivo CRISPR screening is achieving sufficient library coverage while maintaining sparse, single-cell transduction to preserve clonal resolution2. In the mouse mammary gland, the epithelial compartment conservatively consists of approximately 3.5 × 105 cells per gland36. At an average lentiviral transduction rate of 15%, which minimizes the frequency of multiple infections per cell, intraductal delivery results in approximately 5 × 104 transduced epithelial cells per gland36,55. Bilateral injection of both the third thoracic and fourth abdominal mammary gland therefore, yields ~2 × 105 transduced epithelial cells per mouse36,55. Based on these parameters, a library containing 4,000 gRNAs (equating to ~1,000 genes for CRISPR-KO or ~500 genes for CRISPR-A), requires approximately 4 × 106 transduced cells to achieve robust representation of 1,000-fold per gRNA, corresponding to a cohort size of approximately 20 mice. If a strong gain-of-function phenotype is expected, lower coverage (e.g., 400×, or 8 mice) might be sufficient. Alternatively, a higher infection rate of e.g. 30-35% might also be feasible, especially for larger libraries. On the other hand, experiments focused on basal mammary epithelial cells may require higher lentiviral titers or larger numbers of animals to ensure sufficient coverage, whereas this lentiviral-mediated approach is likely not amenable to stromal perturbations due to the extremely low infectivity of these cells36. This quantitative framework provides a practical basis for experimental design by balancing library complexity, animal usage, and clonal resolution, and can be adapted to other screening contexts by adjusting estimated target cell numbers and tissue-specific transduction efficiency.
While this protocol enables scalable pooled in vivo CRISPR screening, several limitations should be considered when designing experiments. First, effective library coverage is inherently constrained by tissue size and achievable transduction efficiency, necessitating targeted rather than genome-wide libraries for most in vivo applications2. Variability in intraductal injection efficiency between glands and/or animals can further reduce efficient coverage and should be mitigated through careful injection technique, consistent viral titering, and pilot experiments to estimate infection rates at a range of viral titers. Despite these potential sources of variability, we have recently shown that CRISPR screens with a library of 4,000 gRNAs reach near saturation in 20 mice following library deconvolution55.
To reduce the effective number of mice required to maintain such robust coverages, it is in practice feasible to inject the second thoracic and fifth inguinal mammary glands in addition to the third thoracic and fourth abdominal mammary gland, as highlighted in this protocol. While the nipples of these additional glands are readily observed under the dissection scope during the procedure, the first cervical mammary gland is often covered and obscured by the forelimbs that are affixed to the nosecone. As each mammary gland differs from one another, both within and between pairs72, the number of mammary epithelial cells in these additional glands would need to be empirically determined to calculate effective coverage. An important consideration, however, is that inducing mammary tumors across eight mammary glands of a single mouse may result in a total cumulative tumor burden endpoint prior to the overt enrichment of all gRNA-containing clones. Alternatively, exciting new approaches to reduce the coverages required for in vivo CRISPR screening, such as CRISPR-StAR (Stochastic Activation by Recombination)9,10 may be combined with our CRISPR-KOALA technology. CRISPR-StAR introduces both a unique lineage trace for each gRNA and an internally controlled negative control, which has been shown to reduce screening coverage requirements in xenograft settings by over two orders of magnitude9. Whether these principles may be applied to our CRISPR-KOALA technology remains to be tested, but offers an exciting opportunity to continue to reduce the number of animals required per screen.
In addition to enabling pooled in vivo CRISPR screening, this protocol simplifies intraductal delivery relative to existing approaches. Prior methods for direct access to the mammary ductal system have relied on surgical exposure of the gland50 or the use of Hamilton syringes for injection51 which can be invasive and technically more cumbersome. In contrast, the non-surgical intraductal injection strategy described here uses fine glass microcapillary needles, allowing rapid, reproducible delivery volumes of concentrated lentivirus with minimal tissue disruption36,55. This streamlined approach facilitates efficient generation of large numbers of independently perturbed epithelial clones and is particularly well suited for pooled lentiviral delivery in screening applications, where maximum viral spread is important.
One major strength of this pipeline is that the framework is highly adaptable across cell lines and tissue contexts55. The principles of targeted gRNA library design, sparse lentiviral transduction, and sequencing-based deconvolution are equivalent to those used in conventional in vitro CRISPR screens2. However, here we provide an additional platform to perform multiplexed CRISPR-KO and CRISPR-A within the same screen, which can be leveraged in vitro at a genome-wide scale, where higher cell numbers permit increased library complexities and deeper coverages. The use of the dead guide RNAs for CRISPR-A enables the use of the same Cre-inducible or constitutive Cas9 mouse to perform CRISPR-A and CRISPR-KO. Additionally, these experiments can be performed within the same mammary gland or multiplexed within the same cell using constructs that express an sgRNA as well as a dgRNA55. As the CRISPR screening protocol relies on stable lentiviral integration and barcode recovery, it is also compatible with and can be adapted for alternative perturbation modalities, such as CRISPR-Inhibition62, Cas1273,74, and ORF-based screens75. In addition to screening, the same pipeline can be used to perturb individual genes by cloning individual gRNAs, siRNAs, or ORFs and delivering them as individual perturbations in the same manner36,55,67,76,77,78,79.
Additionally, it will be of great interest to adapt this technology to other species, particularly the rat80. The larger size of the rat mammary gland would permit the use of significantly expanded libraries while maintaining high coverage and infection efficiency80. Furthermore, rat mammary biology more closely recapitulates certain features of the human gland than the mouse80,81,82,83,84,85; for instance, while mouse mammary tumors are predominantly hormone-independent83, rat mammary tumors are frequently hormone-dependent81,82,85.
In summary, this protocol provides a practical and reproducible approach for pooled in vivo CRISPR knockout and activation screening in the adult mouse mammary gland. By integrating targeted library design with high-titer lentiviral production, simplified non-surgical intraductal delivery, and sequencing-based deconvolution, it lowers the technical barriers to in vivo functional genomics and enables direct interrogation of gene function within native tissue environments. This framework should facilitate broader adoption of pooled in vivo screening approaches and support systematic investigation of context-dependent genetic regulators of tissue homeostasis and disease.
D.S. is a consultant for and founder of ViVerita Therapeutics, and his lab has sponsored research agreements and service agreements with ViVerita Therapeutics.
We thank all members of our laboratories for helpful comments and discussions related to this work. We also thank and acknowledge The Centre for Phenogenomics for all the help and expertise with the mouse work at the Lunenfeld-Tanenbaum Research Institute (LTRI), Toronto, Canada. This study was supported by a project grant from the Canadian Institutes of Health Research (PJT462506) and a Terry Fox Research Institute Program Projects Grant to D.S. (TFRI Project #1107) to D.S. and by the Nicol Family Foundation. E.R.L. was supported by the Canadian Cancer Society Research Training Award and the Frank Fletcher Memorial Fund. K.N.A. was supported by an H.L. Holmes Postdoctoral Award and Grants 1318698 and 26089 from the Cancer Research Society. J.N. was supported by a Canadian Institutes of Health Research Canada Graduate Scholarship – Master’s and a Canadian Institutes of Health Research Doctoral Research Award (#193389). Y.L was supported by the Canadian Institutes of Health Research’s Research Excellence, Diversity, and Independence fellowship (#ED6-190718).
| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| 0.45 micron filter | Sigma | S2HVU02RE | |
| 12k or 92k oligo chip | Customarray Inc. (Genscript) | ||
| 15 cm cell culture plates | Corning | CLS353004 | |
| 293FT | Invitrogen | R70007 | |
| 293NT | Systems Biosciences | LV900A-1 | |
| Alkaline phosphatase | NEB | M0290L | |
| Amplicillin | Fisher Scientific | BP1760-25 | |
| ATP | NEB | 9804S | |
| ATP | NEB | P0756S | |
| Cutsmart buffer | NEB | B6004S | |
| Deep sequencing (Next-Seq or Hi-Seq) | Illumina | ||
| DNAesy Blood and Tissue DNA extraction kit | Qiagen | 69506 | |
| Dulbecco’s modified Eagle medium | Wisent | 319-015-CL | |
| Endura electrocompetent cells | Lucigen | 60242-1 | |
| EpiCult-B Mouse Medium Kit | Stemcell Technologies | 05610 | |
| Esp3I | NEB | R0734L | |
| Fetal Bovine Serum | Wisent | 090-150 | |
| Gel DNA-cleanup kit | Zymo Research | D4008 | |
| Gene Pulser/MicroPulser Electroporation Cuvettes | BioRad | 1652089 | |
| Gentle Collagenase/Hyaluronidase | Stemcell Technologies | 7919 | |
| H11-Cas9 | Jackson Labratories | JAX#028239 | |
| High-Speed Centrifuge | Beckman Coulter | MLS-50 | |
| Kim-wipe | Kimberly-Clark | 34155 | |
| LB Agar | Wisent Technologies | 800-011-LG | |
| Micropipette puller | Sutter Instrument | P97 | |
| Mini-prep plasmid Kit | Frogga Bio | PDH300 | |
| NEBuffer 3.1 (Buffer for BsmBI) | NEB | R0580L | |
| Oligo Clean and Concentrator | Zymo Research | D4061 | |
| Oligo cleanup kit | Zymo research | D4060 | |
| PAGE purified illumina sequencing primer | IDT DNA | ||
| PCR Micropipettes | Drummond | 5-000-1001-X10 | |
| PEI (polyethyleneimine) | Sigma | 408727-100ML | |
| Penicillin and Streptinomycin | Wisent | 450-201-EL | |
| pLKO-Cre | Addgene | 158032 | |
| pMD2.G | Addgene | 12259 | |
| Poly-L-Lysine | Sigma | P2636-100MG | |
| psPAX2 | Addgene | 12260 | |
| pXPR502-PPH-Cre | Addgene | 256776 | |
| Q5 Polymerase 2x Master mix | NEB | M0494L | |
| Qubit Fluorometric Quantification | Invitrogen | Q33327 | |
| R26-LSL-Cas9-EGFP | Jackson Labratories | JAX#024857 | |
| R26-LSL-TdTomato mice | Jackson Labratories | JAX#007909 | |
| SapI | NEB | R0569L | |
| T4 DNA ligase | NEB | M0202L | |
| Ultra-centrifuge tubes | Beckman Coulter | 344058 | |
| Vacuum Filter Units | Fisher Scientific | SCHVU02RE |
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