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(A) Dose-response of EGFP expression represented 24h <t>post-trimethoprim</t> <t>(TMP)</t> exposure in hPSCs engineered with all DHFR degron systems. (B) Geometric mean fluorescence intensity (MFI) at 488nm of all singlet gated hPSCs (left) and the percentage of EGFP+ cells when gated at ∼0.9% against unengineered WT cells, all in the absence of TMP.
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(A) Schematic of FACS-based CRISPRi screens. iPSCs expressing inducible CRISPRi machinery were transduced with a pooled library of sgRNAs targeting ~1600 transcription factors and transcriptional regulators. iPSCs were differentiated into microglia (iTF-MG protocol) and CRISPRi knockdown was induced with <t>trimethoprim.</t> Microglia were stained with markers for six activation states. The 30% of cells with the lowest and highest marker expression were separated by FACS. Genomic DNA was isolated from each population and the cassette encoding sgRNAs was amplified and sequenced using next-generation sequencing. Comparison of the frequencies of cells expressing each sgRNA to those expressing non-targeting control sgRNAs was used to determine hits. (B-G) Volcano plots of screening results for each state. Knockdown phenotype is calculated as a log 2 ratio of counts in the high and low marker expression populations normalized to the standard deviation of non-targeting control cells. CRISPRi targets that significantly (FDR < 0.01) increase or decrease state marker expression are colored in red or blue, respectively. Gene knockdowns that do not significantly alter state marker expression (FDR ≥ 0.01) are shown in grey. Quasi-genes generated from random sets of non-targeting control sgRNAs to model a null distribution are shown in black. (H) Heatmap representing screen results for all genes (rows) that were significant in one or more of the screens shown in H. Each column represents an individual screen. Color scale represents the knockdown phenotype and significance represents FDR. Labelled genes were selected for secondary screens with deep single-cell phenotyping. *FDR < 0.05, **FDR < 0.01, ***FDR < 0.001 FDR.
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(A) Schematic of FACS-based CRISPRi screens. iPSCs expressing inducible CRISPRi machinery were transduced with a pooled library of sgRNAs targeting ~1600 transcription factors and transcriptional regulators. iPSCs were differentiated into microglia (iTF-MG protocol) and CRISPRi knockdown was induced with <t>trimethoprim.</t> Microglia were stained with markers for six activation states. The 30% of cells with the lowest and highest marker expression were separated by FACS. Genomic DNA was isolated from each population and the cassette encoding sgRNAs was amplified and sequenced using next-generation sequencing. Comparison of the frequencies of cells expressing each sgRNA to those expressing non-targeting control sgRNAs was used to determine hits. (B-G) Volcano plots of screening results for each state. Knockdown phenotype is calculated as a log 2 ratio of counts in the high and low marker expression populations normalized to the standard deviation of non-targeting control cells. CRISPRi targets that significantly (FDR < 0.01) increase or decrease state marker expression are colored in red or blue, respectively. Gene knockdowns that do not significantly alter state marker expression (FDR ≥ 0.01) are shown in grey. Quasi-genes generated from random sets of non-targeting control sgRNAs to model a null distribution are shown in black. (H) Heatmap representing screen results for all genes (rows) that were significant in one or more of the screens shown in H. Each column represents an individual screen. Color scale represents the knockdown phenotype and significance represents FDR. Labelled genes were selected for secondary screens with deep single-cell phenotyping. *FDR < 0.05, **FDR < 0.01, ***FDR < 0.001 FDR.
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(A) Schematic of FACS-based CRISPRi screens. iPSCs expressing inducible CRISPRi machinery were transduced with a pooled library of sgRNAs targeting ~1600 transcription factors and transcriptional regulators. iPSCs were differentiated into microglia (iTF-MG protocol) and CRISPRi knockdown was induced with <t>trimethoprim.</t> Microglia were stained with markers for six activation states. The 30% of cells with the lowest and highest marker expression were separated by FACS. Genomic DNA was isolated from each population and the cassette encoding sgRNAs was amplified and sequenced using next-generation sequencing. Comparison of the frequencies of cells expressing each sgRNA to those expressing non-targeting control sgRNAs was used to determine hits. (B-G) Volcano plots of screening results for each state. Knockdown phenotype is calculated as a log 2 ratio of counts in the high and low marker expression populations normalized to the standard deviation of non-targeting control cells. CRISPRi targets that significantly (FDR < 0.01) increase or decrease state marker expression are colored in red or blue, respectively. Gene knockdowns that do not significantly alter state marker expression (FDR ≥ 0.01) are shown in grey. Quasi-genes generated from random sets of non-targeting control sgRNAs to model a null distribution are shown in black. (H) Heatmap representing screen results for all genes (rows) that were significant in one or more of the screens shown in H. Each column represents an individual screen. Color scale represents the knockdown phenotype and significance represents FDR. Labelled genes were selected for secondary screens with deep single-cell phenotyping. *FDR < 0.05, **FDR < 0.01, ***FDR < 0.001 FDR.
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(A) Dose-response of EGFP expression represented 24h post-trimethoprim (TMP) exposure in hPSCs engineered with all DHFR degron systems. (B) Geometric mean fluorescence intensity (MFI) at 488nm of all singlet gated hPSCs (left) and the percentage of EGFP+ cells when gated at ∼0.9% against unengineered WT cells, all in the absence of TMP.

Journal: bioRxiv

Article Title: Systematic characterization of existing and novel inducible transgenic systems in human pluripotent stem cells after prolonged differentiation

doi: 10.1101/2025.10.17.683097

Figure Lengend Snippet: (A) Dose-response of EGFP expression represented 24h post-trimethoprim (TMP) exposure in hPSCs engineered with all DHFR degron systems. (B) Geometric mean fluorescence intensity (MFI) at 488nm of all singlet gated hPSCs (left) and the percentage of EGFP+ cells when gated at ∼0.9% against unengineered WT cells, all in the absence of TMP.

Article Snippet: We then performed a trimethoprim (TMP) (Thermo Fisher Scientific, cat. #J67175.XF) dose-response curve via serial dilution of 2.5μg/ml (8.6 μM) to 0.312 μg/mL (1.1μM) diluted in mTeSR Plus medium.

Techniques: Expressing, Fluorescence

(A) Schematic of FACS-based CRISPRi screens. iPSCs expressing inducible CRISPRi machinery were transduced with a pooled library of sgRNAs targeting ~1600 transcription factors and transcriptional regulators. iPSCs were differentiated into microglia (iTF-MG protocol) and CRISPRi knockdown was induced with trimethoprim. Microglia were stained with markers for six activation states. The 30% of cells with the lowest and highest marker expression were separated by FACS. Genomic DNA was isolated from each population and the cassette encoding sgRNAs was amplified and sequenced using next-generation sequencing. Comparison of the frequencies of cells expressing each sgRNA to those expressing non-targeting control sgRNAs was used to determine hits. (B-G) Volcano plots of screening results for each state. Knockdown phenotype is calculated as a log 2 ratio of counts in the high and low marker expression populations normalized to the standard deviation of non-targeting control cells. CRISPRi targets that significantly (FDR < 0.01) increase or decrease state marker expression are colored in red or blue, respectively. Gene knockdowns that do not significantly alter state marker expression (FDR ≥ 0.01) are shown in grey. Quasi-genes generated from random sets of non-targeting control sgRNAs to model a null distribution are shown in black. (H) Heatmap representing screen results for all genes (rows) that were significant in one or more of the screens shown in H. Each column represents an individual screen. Color scale represents the knockdown phenotype and significance represents FDR. Labelled genes were selected for secondary screens with deep single-cell phenotyping. *FDR < 0.05, **FDR < 0.01, ***FDR < 0.001 FDR.

Journal: bioRxiv

Article Title: Transcriptional regulation of disease-relevant microglial activation programs

doi: 10.1101/2025.10.12.681832

Figure Lengend Snippet: (A) Schematic of FACS-based CRISPRi screens. iPSCs expressing inducible CRISPRi machinery were transduced with a pooled library of sgRNAs targeting ~1600 transcription factors and transcriptional regulators. iPSCs were differentiated into microglia (iTF-MG protocol) and CRISPRi knockdown was induced with trimethoprim. Microglia were stained with markers for six activation states. The 30% of cells with the lowest and highest marker expression were separated by FACS. Genomic DNA was isolated from each population and the cassette encoding sgRNAs was amplified and sequenced using next-generation sequencing. Comparison of the frequencies of cells expressing each sgRNA to those expressing non-targeting control sgRNAs was used to determine hits. (B-G) Volcano plots of screening results for each state. Knockdown phenotype is calculated as a log 2 ratio of counts in the high and low marker expression populations normalized to the standard deviation of non-targeting control cells. CRISPRi targets that significantly (FDR < 0.01) increase or decrease state marker expression are colored in red or blue, respectively. Gene knockdowns that do not significantly alter state marker expression (FDR ≥ 0.01) are shown in grey. Quasi-genes generated from random sets of non-targeting control sgRNAs to model a null distribution are shown in black. (H) Heatmap representing screen results for all genes (rows) that were significant in one or more of the screens shown in H. Each column represents an individual screen. Color scale represents the knockdown phenotype and significance represents FDR. Labelled genes were selected for secondary screens with deep single-cell phenotyping. *FDR < 0.05, **FDR < 0.01, ***FDR < 0.001 FDR.

Article Snippet: For experiments with CRISPRi, cells were supplemented with 50 nM trimethoprim (TMP) (MP Biomedical, 195527) every other day to maintain strong knockdown.

Techniques: Expressing, Transduction, Knockdown, Staining, Activation Assay, Marker, Isolation, Amplification, Next-Generation Sequencing, Comparison, Control, Standard Deviation, Generated