Literature DB >> 35496780

CRISPRi-mediated transcriptional silencing in iPSCs for the study of human brain development.

Pia Annette Johansson1,2, Anita Adami1, Johan Jakobsson1.   

Abstract

This protocol describes the design and use of CRISPRi-mediated transcriptional silencing in human iPSCs, for loss-of-function studies in brain development research. The protocol avoids single cell selection, thereby eliminating side effects of clonal expansion and sites of viral integration. We also describe a neural progenitor differentiation protocol and discuss the challenges of target-specific lentiviral silencing, efficient silencing levels, and off-target effects. For complete details on the use and execution of this protocol, please refer to Johansson et al. (2022).
© 2022 The Authors.

Entities:  

Keywords:  CRISPR; Cell Differentiation; Developmental biology; Neuroscience; Stem Cells

Mesh:

Year:  2022        PMID: 35496780      PMCID: PMC9038555          DOI: 10.1016/j.xpro.2022.101285

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


Before you begin

The protocol below describes the specific steps for using CRISPRi in human induced pluripotent stem cells (hiPSCs). This protocol has also been used in fibroblasts converted to induced neurons (Pircs et al., 2022) and is likely suitable for other cell lines. We have used an all-in-one CRISPRi backbone from Addgene (Thakore et al., 2015; Addgene_71237). Molecular cloning, lentiviral production, qRT-PCR and hiPSCs culture techniques need to be established in the lab for successful application of this protocol (these techniques are not covered here). Verified qRT-PCR primers for the gene of interest and one or two housekeeping genes are also essential.

Design, cloning, and production of CRISPRi lentiviruses

Timing: 3 weeks Before establishing the CRISPRi system, it is necessary to design the guide RNAs for the chosen target gene(s), clone them into the correct plasmid backbone, and finally produce the lentiviral vectors that will be used for the transcriptional silencing in iPSCs. Order and make maxiprep of CRISPRi cloning backbone from Addgene (Addgene_71237). Design 3 guide RNA (gRNA) sequences for the gene of interest according to the CRISPick portal (https://portals.broadinstitute.org/gppx/crispick/public). The software automatically selects guide RNAs that target a region +25–+75 bp downstream the transcription start site (TSS) of the target gene (Figure 1 and troubleshooting 1). See also “CRISPick: How It Works”.
Figure 1

Schematic of the region the guide RNAs target

CRISPick automatically considers the region 25–75 bp downstream of the TSS of the gene of interest and designs the guide RNAs against a sequence within that region.

Choose a reference genome (Human GRCh38), mechanism (CRISPRi), and Enzyme (SpyoCas9). Type in the gene of interest. Tick the "report unpicked sequences" box. Wait for the software to generate the reports. Download the “Picking Results” .txt file. Open with Excel, scroll to Column AR and find the software’s preferred picks. Choose 3 guides for each gene of interest. The gRNA sequence is in column S. Schematic of the region the guide RNAs target CRISPick automatically considers the region 25–75 bp downstream of the TSS of the gene of interest and designs the guide RNAs against a sequence within that region. CRITICAL: In order to minimize the effects of guide-specific off-targets, at least two working guide RNAs are needed (see more below). A minimum of 3 guides are always designed for each gene. The success rate of the gRNA varies between different genes. While many genes are efficiently silenced with most tested guides, some genes are more challenging to target. In these instances, many guides may have to be tested in order to achieve sufficient silencing. Consider what level of silencing would be sufficient for the experiment, it is not always critical nor desired to achieve 99% knock-down efficiency. Investigate the potential off-targets of the designed gRNAs. See troubleshooting 5. Investigate the position of the guides and the predicted TSS in the USCS genome Browser https://genome.ucsc.edu/cgi-bin/hgGateway. This is shown below using ZNF248 (simplified schematic, Figure 2) as an example.
Figure 2

Representation of the investigation of guides, isoforms and alternative TSSs

Select the human GRCh38 assembly (Figure 2, red circle) and type in the name of your gene of interest for a first view (Figure 2, blue circle). Then, type in the predicted TSS from column K in the CRISPick design sheet using this format: chr10:37857610 (green circle). This will show one nucleotide, highlight it and zoom out to see its location in the gene. In the ZNF248 example, the predicted TSS (dark green line) falls at the start of two main isoforms. Representation of the investigation of guides, isoforms and alternative TSSs Once you highlighted the nucleotide and zoomed out, type in the first gRNA sequence. The browser will show the number of places it finds this sequence (which should only be one). Click on “browser”(Figure 2, pink circle) and get to the sequence that can now be highlighted. Do the same with the other gRNA target sequences. In the ZNF248 example, the selected guides are found downstream of the TSS (ZNF248 runs in anti-sense direction) and can be seen to have some sequence overlap (this is often unavoidable as the target window is quite small) (Figure 2). However, there is one isoform (Figure 2, red arrow) which might have an alternative TSS. This needs to be kept in mind if one does not know which isotype is expressed. However, in the given example, the RNA-sequencing tracks from the hiPSC-derived forebrain neural progenitor cells (fbNPCs, our cells of interest, Johansson et al., 2022) show no evidence of transcription of the isoform-specific exon (red rectangle), suggesting that the designed CRISPRi guides should be sufficient for silencing all the expressed isoforms. If there is evidence of a different TSS for some isoforms and it is not possible to tell which isoforms are expressed in the cells of interest, then first use the TSS defined by the software. If the transcriptional silencing is not sufficient, then consider manually designing guides for the alternative TSS and combine the two guides (see troubleshooting 4). Order the oligos with specific overhangs for BsmBI cloning. Insert the 20 bp target gRNA sequence between the overhangs. Forward oligo: 5′ CACCG…….20 bp target………-3′ Reverse oligo: 5′ AAAC……20 bp………C 3′ CRITICAL: Use a non-targeting guide (e.g., against the bacterial LacZ) as a control for all experiments. Order oligos for this sequence as well (See key resources table). Insert the guides into the CRISPRi lentiviral backbone (Figure 3) containing both the guide RNA under the U6 promoter and dead-Cas9-KRAB and GFP under the Ubiquitin C promoter (pLV hU6-sgRNA hUbCdCas9-KRAB-T2a-GFP, RRID:Addgene_71237; Thakore et al., 2015). See here for PDF cloning protocol, part A (automatic download).
Figure 3

Workflow for lentiviral production

After designing of the desired guide RNAs, the resulting oligonucleotides (yellow) are annealed and cloned into the backbone of the CRISPRi plasmid (green), which is then used, along with standard 3rd generation lentiviral plasmids (blue), to produce the gene specific CRISPRi lentiviral vector.

Workflow for lentiviral production After designing of the desired guide RNAs, the resulting oligonucleotides (yellow) are annealed and cloned into the backbone of the CRISPRi plasmid (green), which is then used, along with standard 3rd generation lentiviral plasmids (blue), to produce the gene specific CRISPRi lentiviral vector. Lentiviral vectors were produced according to (Zufferey et al., 1997) and were in titers of 108 - 109 TU/mL as determined by qPCR of genomic DNA after serial dilution transductions. We recommend using an MOI between 5 and 15. CRITICAL: To obtain high transduction and high silencing efficiency, it is crucial to obtain a high titer.

Key resources table

Materials and equipment

None of the following media has been filtered when prepared. iPSBrew∗ ∗This is the only iPSC media that we used, although we can only speculate, we do not expect the use of other media to influence CRISPRi efficiency. N2 media Make fresh every 2 weeks. Add small molecules on the day of feeding. B27 media Make fresh every 2 weeks. Add small molecules on the day of feeding. FACS media (fbNPCs) NB Make fresh on the day. ∗∗If you choose to sort iPSC then exchange the B27 media for iPSC Brew.

Step-by-step method details

Significance of not using clonal expansion

When using lentiviral delivery, the lentiviral units will integrate into the genome at different sites, some of which can lead to a phenotypic alteration in the cell. Additionally, clonal expansion of isogenic clones can lead to alterations in the transcriptome (Carcamo-Orive et al., 2017). If one uses cells of mixed clonal origins, the effect of viral integration and clonal expansion will be reduced and the signal to noise ratio of transgene expression will be increased.

Establishing the CRISPRi cells

Timing: 2 weeks In this step, human iPSCs are transduced with the previously designed CRISPRi lentiviral vector. This results in the creation of cells with a constitutive downregulation of the target gene. Creation of CRISPRi cells (Figure 4).
Figure 4

Schematic of the CRISPRi hiPSCs transduction

After lentiviral transduction, the hiPSCs are grown for 7–10 days. Then, one can optionally FACS the GFP+ cells or directly proceed to check the efficiency of the transcriptional silencing. Once the successful CRISPRi has been confirmed, the cells are frozen down and ready to be used for the desired experiment.

Culture hiPSCs on Laminin521 (Lam521)-coated wells and feed everyday with IPSBrew. Use 900 μL PBS +/+ and 25 μL of Lam521 (0.5 μg/cm2) and incubate in the fridge for 12–16 h (or at 37°C for 2 h). Split every 3–4 days with Accutase (incubation for 10 min at 37°C), seeding 100,000–200,000 cells per well in a 12-wells plate with 900 μL of iPSBrew. (See Grassi et al., 2019; Johansson et al., 2022). On the day of transduction, split the cells with Accutase (incubation for 10 min at 37°C). Count the cells. Seed 200,000 cells per well in a 12-wells plate. Use one well per condition. Use double amount of media (1.8 mL) with 10 μM of Rock inhibitor (RI). Plate some untransduced cells as negative control. Directly after seeding the cells, dilute each virus 1:10 in iPSBrew and add the equivalent of MOI10 to each well (the first time, use MOI5 and 15 as well to select the best MOI for the virus and cell line combination). Add one virus per well. Change the media every day and add 10 μM Rock Inhibitor until the day after the first split (∼70% confluency). The first split ideally takes place on day 3 post-transduction. On the 3rd day post-transduction, split cells with Accutase (incubation for 10 min at 37°C). They should now behave quite normally. On day 7–10 split again with Accutase (incubation for 10 min at 37°C), collect cells, and take samples for RNA and cryopreservation. If, instead, very little cells have survived the transduction, then see troubleshooting 3. RNA: Collect 200,000 cells, spin down, remove media and snap-freeze. Cryopreservation: Freeze 3–4 vials of cells for further experiments. Seed for start of differentiation (optional). Extract RNA, synthesize cDNA and check CRISPRi silencing efficiency using qRT-PCR for all three guides. We use the delta Ct method with the LacZ control virus as the nominator (set as 1 to normalize the calculation) for analysis. Select the two guides that produces the most efficient silencing for further studies. Ideally, the silencing efficiency is 90%. FACS GFP+ cells prior to investigating silencing efficiency and freezing. This is preferable if the transduction efficiency is low. If feasible, FACS at the endpoint of the experiment is still recommended in case of low levels of silencing or selection during differentiation. If low downregulation levels are reached with all of the designed guides, see also troubleshooting 4. Selection via FACS is needed at either the start or end of experiment. Selection at the start gives a better indication of actual silencing efficiency and it is often better for long-term experiments to start with a purer population. Selection at the end is not always possible due to complex differentiation protocols (for instance, with cerebral organoids the association into single cells needed for selection via FACS destroys some cell populations). In case of fbNPC (described here), we sorted only at the end of the experiment as these cells are well suited for single cell dissociation. For cerebral organoid differentiated described in Johansson et al., (2022), we sorted the cells prior to start of differentiation and then used single-nuclei dissociation for analysis. If selection via FACS is not possible, puromycin selection can be an alternative method to establish the CRISPRi cells (see troubleshooting 2). We recommend freezing serval vials of cells early in procedure to be able to use similar passage numbers for repeat or follow-up experiments as well as to avoid a decrease in efficiency (due to silencing and/or uneven growth patterns of transduced and un-transduced cells) with increased passage number and repeated freeze-thaw cycles. In our hands we have not seen much effect of these processes, but this can also depend on the gene of interest. We have not tested other culture media or coating matrices but anticipate that other media or matrices will not significantly affect the procedure. Schematic of the CRISPRi hiPSCs transduction After lentiviral transduction, the hiPSCs are grown for 7–10 days. Then, one can optionally FACS the GFP+ cells or directly proceed to check the efficiency of the transcriptional silencing. Once the successful CRISPRi has been confirmed, the cells are frozen down and ready to be used for the desired experiment.

Differentiate hiPSCs into fbNPCs

Timing: 3 weeks Here, the steps to differentiate the hiPSCs into forebrain NPCs (fbNPCs) are described (Figure 5, Grassi et al., 2019 and Johansson et al., 2022). The CRISPRi cells have also been differentiated into cerebral organoids (see Johansson et al., 2022) with efficient silencing shown to persist after four months, see also expected outcomes.
Figure 5

Schematic of the differentiation protocol used in this project

The differentiation is a two-week long protocol based on dual-SMAD inhibition that allows differentiation of hiPSCs into fbNPCs.

Thaw the two CRISPRi cell batches with the most efficient transcriptional silencing (e.g., guide1 and guide2), the LacZ CRISPRi control (experimental control), and include one untransduced control (FACS control). Split the cells once before the start of differentiation. Coat one well in a 6-well plate (2.5 mL PBS + 150 μL Lam111) per condition. Leave 12–16 h at 4°C. Day 0. Collect the cells from four different conditions and count the number of cells. Seed 75,000 cells onto each Lam111-coated well in N2 media + Noggin (100 ng/mL) + SB431542 (10 μM) + Rock Inhibitor (10 μM) from each condition. Day 2. Replace media (N2 media + Noggin (100 ng/mL) + SB431542 (10 μM)), 2.25 mL/well. As the cells grow more dense, the volume of media will increase throughout the differentiation. Day 4. Replace media (N2 media + Noggin (100 ng/mL) + SB431542 (10 μM)), 2.5 mL/well. Day 7. Replace media (N2 media + Noggin (100 ng/mL) + SB431542 (10 μM)), 3 mL/well. Day 9. Replace media, N2 media only, 3.5 mL/well. Day 10. Coat 12-well plate with Lam111 (900 μL PBS + 60 μL Lam111, 1 well per condition), and 96-well plate with 100 μL PBS + 6 μL Lam111 (2–3 wells per condition). Day 11. Split cells with Accutase (10 min incubation at 37°C) and reseed (3 million cells/well) in B27 media + AA (0.2 mM) + BDNF (20 ng/mL) + RI (10 μM). Seed also 250,000 cells per condition per well in a 96-well plate for immunocytochemistry. Day 14. On day 14 the cells are fbNPCs as defined by FOXG1 and PAX6 staining and their transcriptional profile (Grassi et al., 2019, Johansson et al., 2022). Fix cells in the 96-wells plate for 15 min at RT using ice-cold 4% paraformaldehyde. Perform immunocytochemistry of FoxG1 (1:75, RRID:AB_732415) for confirmation of forebrain identity (Figure 6). These cultures are homogenous at day 14 and almost all cells should appear positive after immunohistochemistry. Very similar results have been found with another human iPSC lines, one human ES line and two chimpanzee iPSC lines (Grassi et al., 2019; Johansson et al., 2022). Additionally, when we performed single cell RNA-seq of these cultures, 95% of the analyzed cells were found in one main Pax6 and FoxG1 positive cluster (Johansson et al., 2022).
Figure 6

Immunocytochemistry of FOXG1 in fbNPCs

On day 14, the fbNPCs were fixed and then stained for FOXG1 (red) and DAPI (blue).

Immunocytochemistry of FOXG1 in fbNPCs On day 14, the fbNPCs were fixed and then stained for FOXG1 (red) and DAPI (blue). Collect and sort the cells. Prepare FACS media and collection media (B27 media + Rock Inhibitor (10 μM). Collect the cells using Accutase (10 min incubation at 37°C) to ensure single cell suspension. Resuspend the cells in FACS media and filter prior to FACS. Prepare collection tubes with collection media (B27 media + Rock Inhibitor (10 μM). Sort GFP+ cells into the collection tube. Keep on ice. Spin down, remove supernatant and snap-freeze pellet and store at −80°C. CRITICAL: Bring untransduced cells to the FACS to set the gate for GFP and Draq7 (cell death marker). As the cell density increases the protocol calls for increased volume of media. One sample is needed for RNA isolation (RNeasy Mini kit (50) (QIAGEN, cat. # 74104)) to re-assess the transcriptional silencing efficiency at the end of the experiment. Collect additional samples depending on the scientific question and assays. We typically collect 3 × 200,000 cells per condition. If the gene of interest encodes for a protein the silencing can also be validated using WB. Schematic of the differentiation protocol used in this project The differentiation is a two-week long protocol based on dual-SMAD inhibition that allows differentiation of hiPSCs into fbNPCs. Silencing can also be validated using RNA-sequencing, via histone methylation marks-mediated CUT&RUN or ChIP, where reduction of H3K4me3 and/or enrichment of H3K9me3 markers confirm the silencing.

Combine guides for analysis for reduction of off-target effects

Timing: 4 days This part of the protocol involves combining or verifying the effect of the CRISPRi using two different guides. This varies depending on the read-out. RNA-sequencing is used here as readout, and the combination of guides will be described below (Figure 7).
Figure 7

Schematics of fbNPCs FACS and RNA-seq analyses

Once the GFP+ fbNPCs are sorted via FACS, they are prepared for RNA-sequencing. The sequencing results are then analyzed to compare transcriptional differences between the control cells and the CRISPRi cells.

Schematics of fbNPCs FACS and RNA-seq analyses Once the GFP+ fbNPCs are sorted via FACS, they are prepared for RNA-sequencing. The sequencing results are then analyzed to compare transcriptional differences between the control cells and the CRISPRi cells. Most guides will have off-targets. However, two guides are very unlikely to have the same off-targets. Thus, combining the readouts of two guides will minimize the off-target effect of each guide. Here, we combine the two CRISPRi conditions into one, and analysis is performed with control vs CRISPRi cells (in our case n=4 and 8, respectively).

Expected outcomes

Using this protocol, we generally get very high transduction efficiency (60–95%) and very high silencing efficiency (Figure 8A). Importantly for this protocol and the use of CRISPRi for long-term transcriptional silencing, the construct we have chosen is stably expressed, and after 2 weeks of differentiation we detected no reduction in the percentage of positive cells (Figure 8B). In cerebral organoids, we have stable transcriptional silencing even in 4-month-old organoids (Johansson et al., 2022).
Figure 8

Examples of tranduction, silencing efficiency and transgene stability

(A and B) Example of (A) transcriptional silencing efficiency and (B) transgene expression stability in CRISPRi cells.

A change in the percentage of positive cells may occur with increased time and/or differentiation due to phenotypic alterations (e.g., survival or proliferation) rather than transgene silencing. Examples of tranduction, silencing efficiency and transgene stability (A and B) Example of (A) transcriptional silencing efficiency and (B) transgene expression stability in CRISPRi cells.

Troubleshooting

Problem 1

There is another gene close to my gene of interest running in the opposite direction (See design, cloning and production of CRISPRi lentiviruses).

Potential solution

This might not be a problem, CRISPRi works best when the Cas9 is guided to the DNA downstream of the transcription start site. However, there can still be interference. The solution is then to design a few more guides targeting around +75–+90 bp downstream of the transcription start site. The CRISPRick software first chooses guides within the +25-+75 bp downstream of the transcription start site. However, one can manually pick guides outside of this range. Choose a guide that has a high pick order and comments are only “outside of range”. Design qRT-PCR guides for the nearby gene as well and test the effect at the same time as the gene of interest.

Problem 2

We cannot use GFP selection (See establishing the CRISPRi cells).

Potential solutions

Use the sister construct Addgene Plasmid #71236), that has selection via puromycin. We have not used this plasmid, but we anticipate it is equally efficient. We have however used puromycin in these cultures for selection of other vectors with a final concentration of 0.5 μg/μL. However, we have found the NPCs to be sensitive to puromycin (i.e., even with a puromycin resistance gene they thrive less) and we therefore recommend the user to do a robust selection during the iPSC stage and carefully optimize the puromycin selection during the differentiation procedure. Modify the plasmid to express RFP instead of GFP (also available from the lead contact).

Problem 3

There are not enough green cells after transduction (See establishing the CRISPRi cells). Use a range of MOIs to test for survival, transduction, and transcriptional silencing efficiency (Figure 9).
Figure 9

Effect of guide and MOI on silencing efficiency

Effect of guide and MOI on silencing efficiency If the titre is low, try to modify production to achieve a higher titre. Expand the cells more before the sort and take cells from 2 or 3 wells to the FACS. Ensure the cells are not over-confluent when collecting for transduction. Use cells that have been split only once or twice after thaw.

Problem 4

Not sufficient transcriptional silencing with either of the designed guides (See Establishing the CRISPRi cells). We have found that the efficiency of CRISPRi is not only guide and position dependent, but also locus dependent. For example, in the case of ZNF558, CUT&RUN showed that the H3K4Me3 activation mark over the ZNF558 promoter was absent after ZNF558 CRISPRi (Johansson et al., 2022), indicating complete silencing. In other experiments, using the same methodology but targeting different genes, all the designed guides were much less efficient in reducing mRNA levels. However, even though complete silencing was not achieved, a very significant reduction in mRNA levels was found (>85%), and this can be sufficient for many experiments. In addition, where genes that are crucial for cell survival are involved, cells do not survive with complete silencing, but this method might give cells with the highest level of transcriptional silencing they can tolerate. This allows for functional studies not possible using CRISPR-KO. In the first instance, using a higher MOI is recommended. There is a definite correlation between CRISPRi efficiency and MOI (see Figure 9). Design new guides that may achieve more efficient silencing. Investigate if there is a possibility of an alternative TSS. If so, one can design guides manually, using the CRISPR tracks (selecting green guides) around where the alternative site might be.

Problem 5

The guides are not regulating the same genes (See design, cloning and production of CRISPRi lentiviruses). This would suggest that the guides are not specific and bind too many off-targets. In this work, the analysis of the guides was combined as described in step 4, in order to filter out genes that are regulated by only one of the guides and therefore not true targets (see also Johansson et al., 2022). Combine the analysis of both guides (control vs CRISPRi). Include a third guide in the analysis. Design new guides. Use in combination with another approach such as siRNA. Look for the expected off-targets for each guide (Figure 10).
Figure 10

Investigation of off-targets for gRNAs

Go to UCSC Genome Browser. Selected correct genome. Enable CRISPR targets track. Paste in the guide sequence of choice. In the BLAST search window, confirm that the guide sequence only appears once in genome and press the browser link (see Figure 2). Highlight as described above and zoom out 1.5×. Click on the guide corresponding to the sequence (red arrow). The PAM sequence is seen as a thinner line in the browser track. All information about that guide, including predicted off-targets, can be found here. Investigation of off-targets for gRNAs Of the top 10 hits we recommend no overlap with potential off-targets. However, these are only potential off-targets and might not be affected and in addition other targets might be. We recommend handling off-targets with the use of combinatorial analysis, meaning only look at phenotypes seen with two guides.

Resource availability

Lead contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Dr. Pia Johansson (pia.johansson@med.lu.se).

Materials availability

Plasmids generated in this study are available upon request.
REAGENT or RESOURCESOURCEIDENTIFIER
Antibodies

Anti-rabbit FOXG1, polyclonal 1:75 dilutionAbcamCat# ab18259 (RRID: AB_732415)
Anti-rabbit PAX6, polyclonal, 1:500 dilutionBioLegendCat# 901301 (RRID: AB_2565003)
Anti-rabbit CY3, secondary antibody, 1:200 dilutionThe Jackson Laboratoryn/a

Chemicals, peptides, and recombinant proteins

Ascorbic AcidSigma-AldrichCat# A5960
B27 (-Vit A) supplementGibco (Thermo Fisher Scientific)Cat# 12587010
DMEM/F-12Gibco (Thermo Fisher Scientific)Cat# 21331020
Draq7BD BiosciencesCat# 564904
Knockout replacement serum (KSR)Gibco (Thermo Fisher Scientific)Cat# 10828010
L-GlutamineGibco (Thermo Fisher Scientific)Cat# 25030032
Laminin-111BioLaminaLN111
Laminin-521BioLaminaLN521
N2 supplementGibco (Thermo Fisher Scientific)Cat# 17502048
NeurobasalGibco (Thermo Fisher Scientific)Cat# 21103049
NogginMiltenyi BiotecCat# 130-103-456
Penicillin-StreptomycinGibco (Thermo Fisher Scientific)Cat# 15140122
rhBDNFR&DCat# 248-BD
Rock-inhibitor, Y27632Miltenyi BiotecCat# 130106538
SB431542AxonCat# 1661
StemMACS iPS-Brew XF, humanMiltenyi BiotecCat# 130104368
StemPro AccutaseGibco (Thermo Fisher Scientific)n/a

Experimental models: Cell lines

Human iPSC line (HS1), female, >1DRIKENRBRC-HPS0328 606A1 (RRID:CVCL_DQ11)

Oligonucleotides

sgRNA: ZNF138-g1 GGGTCTTTGTCTCGCTGCAGJohansson et al., 2021n/a
sgRNA: ZNF138-g2 CTGCGTCCTCTTACTCCTAGJohansson et al., 2021n/a
sgRNA: ZNF248-g2 AATTAGACACAATTATCCACJohansson et al., 2021n/a
sgRNA: ZNF248-g3 ACAATTATCCACGGGAGACTJohansson et al., 2021n/a
sgRNA: ZNF558-g2 GCCAAAAGCGCCGACTCGCGJohansson et al., 2021n/a
sgRNA: ZNF558-g3 AGTCGGCGCTTTTGGCCCCGJohansson et al., 2021n/a
sgRNA: LacZ TGCGAATACGCCCACGCGATJohansson et al., 2021n/a
ZNF138 fw TGGCGCTGTGATCTGGTTATT rev CAGTGGTCCCATTTCTAGGCTTthis papern/a
ZNF248 fw GTGCCACCCAGAAAGGAAATG rev AGGGTCTGTGCCCAAATTGAAthis papern/a
ZNF558 fw CGGGCTCGATGAGAAAAGCA rev ATTCTCACACACTGCTGGGGJohansson et al., 2021n/a

Recombinant DNA

Plasmid: pLV hU6-sgRNA hUbC-dCas9-KRAB-T2a-GFPThakore et al. (2015)RRID: Addgene_71237

Software and algorithms

n/an/an/a
n/an/an/a

iPSBrew∗

ComponentStorageDilution
iPS-Brew XF, Basal Medium−20°C1:1
iPS-Brew XF, 50× Supplement−20°C1:50
Penicillin/streptomycin (stock: 10,000 U/mL)−20°C0.5%

∗This is the only iPSC media that we used, although we can only speculate, we do not expect the use of other media to influence CRISPRi efficiency.

N2 media

ComponentStorageDilutionAmount for 50 mL
DMEM/F124°C49%24.5 mL
Neurobasal4°C49%24.5 mL
N2 supplement (100×)−20°C1:100500 μL
L-Glutamine (stock: 200 mM)4°C1:100500 μL
Penicillin/streptomycin (stock: 10,000 U/mL)4°C1:500100 μL
Totaln/an/a50 mL

Make fresh every 2 weeks. Add small molecules on the day of feeding.

B27 media

ComponentStorageDilutionAmount for 50 mL
Neurobasal4°C97%48.5 mL
B27 (- vitamin A) (50×)−20°C1:501 mL
L-Glutamine4°C1:100500 μL
Penicillin/streptomycin (stock: 10,000 U/mL)4°C1:500100 μL
Totaln/an/a50 mL

Make fresh every 2 weeks. Add small molecules on the day of feeding.

FACS media (fbNPCs)

ReagentDilutionAmount
B27 media w/o small molecules∗∗0.5 mL/sample
Draq71:1,0000.5 μl/sample
Rock Inhibitor (stock: 10 mM)1:1,0000.5 μl/sample
Totaln/an/a

NB Make fresh on the day.

∗∗If you choose to sort iPSC then exchange the B27 media for iPSC Brew.

  6 in total

1.  Multiply attenuated lentiviral vector achieves efficient gene delivery in vivo.

Authors:  R Zufferey; D Nagy; R J Mandel; L Naldini; D Trono
Journal:  Nat Biotechnol       Date:  1997-09       Impact factor: 54.908

2.  A cis-acting structural variation at the ZNF558 locus controls a gene regulatory network in human brain development.

Authors:  Pia A Johansson; Per Ludvik Brattås; Christopher H Douse; PingHsun Hsieh; Anita Adami; Julien Pontis; Daniela Grassi; Raquel Garza; Edoardo Sozzi; Rodrigo Cataldo; Marie E Jönsson; Diahann A M Atacho; Karolina Pircs; Feride Eren; Yogita Sharma; Jenny Johansson; Alessandro Fiorenzano; Malin Parmar; Malin Fex; Didier Trono; Evan E Eichler; Johan Jakobsson
Journal:  Cell Stem Cell       Date:  2021-10-07       Impact factor: 24.633

3.  Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity.

Authors:  Ivan Carcamo-Orive; Gabriel E Hoffman; Paige Cundiff; Noam D Beckmann; Sunita L D'Souza; Joshua W Knowles; Achchhe Patel; Dimitri Papatsenko; Fahim Abbasi; Gerald M Reaven; Sean Whalen; Philip Lee; Mohammad Shahbazi; Marc Y R Henrion; Kuixi Zhu; Sven Wang; Panos Roussos; Eric E Schadt; Gaurav Pandey; Rui Chang; Thomas Quertermous; Ihor Lemischka
Journal:  Cell Stem Cell       Date:  2016-12-22       Impact factor: 25.269

4.  Distinct subcellular autophagy impairments in induced neurons from patients with Huntington's disease.

Authors:  Karolina Pircs; Janelle Drouin-Ouellet; Vivien Horváth; Jeovanis Gil; Melinda Rezeli; Raquel Garza; Daniela A Grassi; Yogita Sharma; Isabelle St-Amour; Kate Harris; Marie E Jönsson; Pia A Johansson; Romina Vuono; Shaline V Fazal; Thomas Stoker; Bob A Hersbach; Kritika Sharma; Jessica Lagerwall; Stina Lagerström; Petter Storm; Sébastien S Hébert; György Marko-Varga; Malin Parmar; Roger A Barker; Johan Jakobsson
Journal:  Brain       Date:  2022-09-14       Impact factor: 15.255

5.  Highly specific epigenome editing by CRISPR-Cas9 repressors for silencing of distal regulatory elements.

Authors:  Pratiksha I Thakore; Anthony M D'Ippolito; Lingyun Song; Alexias Safi; Nishkala K Shivakumar; Ami M Kabadi; Timothy E Reddy; Gregory E Crawford; Charles A Gersbach
Journal:  Nat Methods       Date:  2015-10-26       Impact factor: 28.547

6.  Profiling of lincRNAs in human pluripotent stem cell derived forebrain neural progenitor cells.

Authors:  Daniela A Grassi; Per Ludvik Brattås; Marie E Jönsson; Diahann Atacho; Ofelia Karlsson; Sara Nolbrant; Malin Parmar; Johan Jakobsson
Journal:  Heliyon       Date:  2019-12-31
  6 in total

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