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Image Search Results
Journal: bioRxiv
Article Title: Expanding the toolkit for genetic manipulation and discovery in Candida species using a CRISPR ribonucleoprotein-based approach
doi: 10.1101/2023.06.16.545382
Figure Lengend Snippet: The CRISPR-Cas9 RNP system using 130-150 bp homology regions efficiently generates ADE2 deletions in C. glabrata using NatMX and HphMX . (A) Schematic of pAG25 NatMX plasmid. P1 and P2 indicate location of amplification sequences. (B) Schematic of pAG32 HphMX plasmid. P1 and P2 indicate location of amplification sequences. (C) Representative transformation plate for ADE2 deletion using NatMX with and without addition of CRISPR-RNP. (D) Total number of positive transformants using NatMX with and without addition of CRISPR- RNP. Numbers represent the summation across three separate transformations. (E) Total number of positive transformants using HphMX with and without addition of CRISPR-RNP. Numbers represent the summation across three separate transformations.
Article Snippet:
Techniques: CRISPR, Plasmid Preparation, Amplification, Transformation Assay
Journal: bioRxiv
Article Title: Expanding the toolkit for genetic manipulation and discovery in Candida species using a CRISPR ribonucleoprotein-based approach
doi: 10.1101/2023.06.16.545382
Figure Lengend Snippet: The CRISPR-Cas9 RNP system generates single and double gene deletions utilizing NatMX and HphMX in C. glabrata . (A and B) Five-fold serial dilution spot assays with and without 64 μg/mL fluconazole (FLZ). Indicated single deletion strains were generated using the CRISPR-Cas9 RNP method. Double deletion strains were generated using CRISPR-Cas9 RNP method sequentially and three independent clones are shown. Images were captured at 48 hours. (C and D) Expression of the indicated genes were determined by qRT-PCR analysis of mid-log phase cells. Data was normalized to RDN18 mRNA levels and are the average of three biological replicates with three technical replicates each. Error bars represent the standard deviation.
Article Snippet:
Techniques: CRISPR, Serial Dilution, Generated, Clone Assay, Expressing, Quantitative RT-PCR, Standard Deviation
Journal: bioRxiv
Article Title: Expanding the toolkit for genetic manipulation and discovery in Candida species using a CRISPR ribonucleoprotein-based approach
doi: 10.1101/2023.06.16.545382
Figure Lengend Snippet: The CRISPR-Cas9 RNP system efficiently generates gene deletions utilizing BleMX in C. glabrata . (A) Schematic of pCY3090-07 plasmid. P1 and P2 indicate location of amplification primer sequences. (B) Total number of positive transformants using BleMX with and without addition of CRISPR-Cas9 RNP. Numbers are the summation across three separate transformations. (C) Five-fold serial dilution spot assays of indicated strains with and without 64 μg/mL fluconazole (FLZ). Two independent clones are shown for erg3Δ ( BleMX ). Images were captured at 48 hours.
Article Snippet:
Techniques: CRISPR, Plasmid Preparation, Amplification, Serial Dilution, Clone Assay
Journal: bioRxiv
Article Title: Expanding the toolkit for genetic manipulation and discovery in Candida species using a CRISPR ribonucleoprotein-based approach
doi: 10.1101/2023.06.16.545382
Figure Lengend Snippet: The CRISPR-RNP system efficiently generates gene deletions utilizing KanMX for C. glabrata . (A) Schematic of pUG6 plasmid. P1 and P2 indicate location of amplification primer sequences. (B) Total number of positive transformants using KanMX with and without addition of CRISPR-RNP. Numbers are the summation across three separate transformations. (C) Five- fold serial dilution spot assays of indicated strains with and without 64 μg/mL fluconazole (FLZ). Images were captured at 48 hours.
Article Snippet:
Techniques: CRISPR, Plasmid Preparation, Amplification, Serial Dilution
Journal: bioRxiv
Article Title: Expanding the toolkit for genetic manipulation and discovery in Candida species using a CRISPR ribonucleoprotein-based approach
doi: 10.1101/2023.06.16.545382
Figure Lengend Snippet: The CRISPR-Cas9 RNP system generates endogenous epitope tagged proteins using KanMX in C. glabrata . (A) Schematic of pFA6-3HA-KanMX plasmid. P1 and P2 indicate location of amplification primer sequences. (B and C) Indicated strains were either untreated (-) or treated (+) with 64 μg/mL of fluconazole (FLZ) for three hours. Whole cell extracts were isolated and immunoblotted against HA antibody for detection of Erg3 or Erg11. Histone H3 was used as a loading control. Three independent clones were represented for Erg3-3xHA and Erg11-3xHA. (D and E) Five-fold serial dilution spot assays of indicated strains with 0, 16, and 64 μg/mL fluconazole (FLZ), respectively. Three independent clones were represented for Erg3-3xHA and Erg11-3xHA. Images were captured at 48 hours.
Article Snippet:
Techniques: CRISPR, Plasmid Preparation, Amplification, Isolation, Control, Clone Assay, Serial Dilution
Journal: bioRxiv
Article Title: Expanding the toolkit for genetic manipulation and discovery in Candida species using a CRISPR ribonucleoprotein-based approach
doi: 10.1101/2023.06.16.545382
Figure Lengend Snippet: The CRISPR-Cas9 RNP system generates gene deletions using a codon optimized BleMX in C. auris . (A) Schematic of pCdOpt-BMX plasmid. P1 and P2 indicate location of amplification primer sequences. (B) Five-fold serial dilution spot assays of indicated C. auris strains with and without 64 μg/mL fluconazole (FLZ). Four independent clones were represented for Caurerg3Δ strain ( BleMX ). Images were captured at 48 hours.
Article Snippet:
Techniques: CRISPR, Plasmid Preparation, Amplification, Serial Dilution, Clone Assay
Journal: bioRxiv
Article Title: Expanding the toolkit for genetic manipulation and discovery in Candida species using a CRISPR ribonucleoprotein-based approach
doi: 10.1101/2023.06.16.545382
Figure Lengend Snippet: The CRISPR-Cas9 RNP system is used for deleting SET1 in C. albicans . (A) Schematic of pBSS2- SAT1- FLP plasmid. P1 and P2 indicate location of amplification primer sequences. (B) Whole cell extracts were isolated from indicated C. albicans strain SC5314 and immunoblotted against methyl-specific H3K4 mono-, di- and trimethylation antibodies. Histone H3 was used as a loading control. (C) Five-fold serial dilution spot assays of indicated C. albicans strains with and without 0.5 µg/mL fluconazole (FLZ). Images were captured at 24 hours.
Article Snippet:
Techniques: CRISPR, Plasmid Preparation, Amplification, Isolation, Control, Serial Dilution
Journal: Frontiers in Oncology
Article Title: EI24, as a Component of Autophagy, Is Involved in Pancreatic Cell Proliferation
doi: 10.3389/fonc.2019.00652
Figure Lengend Snippet: Loss of EI24 expression in pancreatic cancer cells impairs autophagy. MIA PaCa-2 and Panc-1 cells were transfected with 10 nM control siRNA (siCtrl) or siRNA targeting EI24 or ATG5 for 48 h. (A) The mRNA levels of EI24, ATG5, and GAPDH were analyzed by reverse-transcription PCR. Values represent the expression of EI24 or ATG5 relative to that of GAPDH (with siCtrl values set to 1). (B) The protein levels of EI24 ATG5 and β-actin were analyzed by western blotting. Representative data are shown. Values represent the ratio of the EI24 or ATG5 densitometry value to that of β-actin (with siCtrl values set to 1). (C) EI24 protein expression was observed by immunofluorescence staining using an anti-EI24 antibody. (D) LC3 puncta (autophagosome) were visualized by immunofluorescence staining using an anti-LC3 antibody. (E) Conversion of LC3-I to LC3-II and p62 accumulation were analyzed by western blotting using anti-LC3 and anti-p62 antibodies, respectively. Graphs represent the LC3-II or p62 densitometry value to that of β-actin (with siCtrl values set to 1) from five independent experiments. (F) Co-localization of the autophagosome and lysosome in EI24-knockdown MIA PaCa-2 and Panc-1 cells was analyzed by confocal microscopy using the ZEN 2012 program. Immunofluorescence staining with anti-LC3 (to detect autophagosomes; green dye) and anti-LAMP1 (to detect lysosomes; red dye) antibodies. Co-localization of LC3 with LAMP1 was analyzed by ZEN 2.6 (blue edition). The graph shows the Pearson's co-localization coefficient. (G) MIA PaCa-2 and Panc-1 cells were treated with 100 nM bafilomycin for 30 min, and their protein extracts were analyzed by western blotting using anti-LC3 and β-actin antibodies. Graphs represent the LC3-II densitometry value to that of β-actin (with siCtrl values set to 1) from three independent experiments. Data in (E–G) graphs represent the mean ± standard error of the means (SEM). Comparison were made using Student's t -test, * P < 0.05; ** P < 0.01; n.s., not significant.
Article Snippet:
Techniques: Expressing, Transfection, Control, Reverse Transcription, Western Blot, Immunofluorescence, Staining, Knockdown, Confocal Microscopy, Comparison
Journal: Frontiers in Oncology
Article Title: EI24, as a Component of Autophagy, Is Involved in Pancreatic Cell Proliferation
doi: 10.3389/fonc.2019.00652
Figure Lengend Snippet: Loss of EI24 expression in pancreatic cancer cells inhibits cell proliferation. MIA PaCa-2 and Panc-1 cells were transfected with 10 nM control siRNA (siCtrl) and siRNA targeting EI24 or ATG5. (A) After 24 h of transfection, cells were reseeded into a 6-well plate and incubated for 10 days. Then, the cells were fixed and colonies counted. The values represent means ± SEM (Student's t -test, * P < 0.05). (B) After 24 h of transfection, cells were seeded into a 6-well plate and incubated for another 7 days. Cells were fixed and stained with crystal violet. (C) After 24 h of transfection, cells were seeded into a 96-well plate. Images acquired from the IncuCyte instrument at the indicated times were analyzed using the ZOOM 2016 program. Cell confluency was measured in triplicate wells for each sample. The plotted values represent means ± SEM (Student's t -test, *** P < 0.001). (D) Cells transfected with siRNAs were incubated for 48 h. After incubation, the cells were analyzed by flow cytometry to evaluate DNA content. Representative DNA content profiles from three independent experiments are shown. (E) DNA fragmentation in siRNA-transfected MIA PaCa-2 and Panc-1 cell lysates was measured using the Cell Death Detection kit. The y -axes in the graphs indicate the extent of DNA fragmentation. Values plotted in the graphs represent means ± SEM. (Student's t -test, ** P < 0.01; n.s., not significant). (F) Proteins extracted from siRNA-transfected cells was analyzed by western blotting using anti-PARP1 and anti-β-actin antibodies. The proform of PARP (116 kDa, black arrow head) and cleaved PARP (85 kDa, red arrow head) are indicated.
Article Snippet:
Techniques: Expressing, Transfection, Control, Incubation, Staining, Flow Cytometry, Western Blot
Journal: Frontiers in Oncology
Article Title: EI24, as a Component of Autophagy, Is Involved in Pancreatic Cell Proliferation
doi: 10.3389/fonc.2019.00652
Figure Lengend Snippet: Loss of EI24 expression in HCT116 cells impairs autophagy but not cell proliferation. HCT116 cells were transfected with 10 nM control siRNA (siCtrl) or siRNA targeting EI24 or ATG5. (A) The mRNA levels of EI24, ATG5, and GAPDH were analyzed by reverse-transcription PCR. (B) The protein levels of EI24 ATG5 and β-actin were analyzed by western blotting. Representative data are shown. Values represent the ratio of the EI24 or ATG5 densitometry value to that of β-actin (with siCtrl values set to 1). Conversion of LC3-I to LC3-II and p62 accumulation were analyzed by western blotting using anti-LC3 and anti-p62 antibodies, respectively. Graphs represent mean ± SEM of the LC3-II and p62 densitometry value to that of β-actin (with siCtrl values set to 1) from three independent experiments. Comparison were made using Student's t -test, * P < 0.05; ** P < 0.01. (C) After 24 h of transfection, cells were seeded into a 6-well plate and incubated for another 7 days. Cells were fixed and stained with crystal violet. (D) After 24 h of transfection, cells were seeded into a 96-well plate. Images acquired from the IncuCyte instrument at the indicated times were analyzed using the ZOOM 2016 program. Cell confluency was measured in triplicate wells for each sample. The plotted values represent means ± SEM. (E) Protein extracts from siRNA-transfected cells were analyzed for DNA fragmentation. The y -axes of the graphs indicate the extent of DNA fragmentation. Values plotted in the graphs represent means ± SEM (Student's t -test, n.s., not significant).
Article Snippet:
Techniques: Expressing, Transfection, Control, Reverse Transcription, Western Blot, Comparison, Incubation, Staining
Journal: Frontiers in Oncology
Article Title: EI24, as a Component of Autophagy, Is Involved in Pancreatic Cell Proliferation
doi: 10.3389/fonc.2019.00652
Figure Lengend Snippet: Loss of EI24 expression using CRISPR-Cas9 in MIA PaCa-2 cells decreased cell proliferation. MIA PaCa-2 cells were transfected with CRISPR-Cas9 control (gRNA) and EI24 gRNA (gEI24) using a lentiviral system. (A) After 48 h of incubation, EI24 protein expression was observed by immunofluorescence staining using an anti-EI24 antibody. (B) After 48 h of incubation, the EI24 protein level was observed by western blotting using an anti-EI24 antibody. Conversion of LC3-I to LC3-II and p62 accumulation were analyzed by western blotting using anti-LC3 and anti-p62 antibodies, respectively. Graphs represent the mean ± SEM of EI24, LC3-II, and p62 densitometry value to that of β-actin (with gRNA values set to 1) from three independent experiments. Comparison were made using Student's t -test, * P < 0.05; ** P < 0.01; *** P < 0.001. (C) After 24 h of incubation, cells were seeded into a 96-well plate (1,000 cells/well). Images acquired by the IncuCyte instrument at the indicated times were analyzed using the ZOOM 2016 program. Confluency was measured in triplicate wells for each sample. Values represent the means ± SEM (Student's t -test, * P < 0.05; ** P < 0.01; *** P < 0.001). (D) Control and EI24 gRNA-transfected cells (5 × 10 6 ) were injected into both flanks of Balb/c nude mice. Tumor volume was measured on the indicated days. The y -axes of these graphs represent the fold change in tumor size relative to the initial tumor size. Values represent means ± SEM. (Student's t -test, n.s., not significant, control gRNA mice, n = 5; EI24 gRNA mice, n = 4).
Article Snippet:
Techniques: Expressing, CRISPR, Transfection, Control, Incubation, Immunofluorescence, Staining, Western Blot, Comparison, Injection
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 1 The evolution of CRISPR tools that have been harnessed in the investigation of cancer biology. Since the inception of CRISPR-associated 9 (Cas9) gene editing in mammalian cells, there has been a rapid expansion in the field of CRISPR technology. This expansion has led to the development of various specialized CRISPR variants designed to tackle specific challenges. Scientists have created these variants through deliberate design and evolutionary processes, resulting in improved flexibility in recognizing protospacer adjacent motifs (PAMs) and increased precision in target selection. Additionally, they’ve harnessed naturally occurring variants from different bacterial species, like Cas12a (Cpf1) and Cas13, for effective combinatorial knockout (KO) and precise RNA targeting, respectively. To broaden the range of CRISPR applications, researchers have combined transcriptional effectors with catalytically inactive Cas9 (dCas9), allowing precise targeting of the transcriptome and epigenome. Furthermore, CRISPR base editing has enabled the introduction of specific transition mutations using a Cas9 nickase (Cas9n) fused with adenine or cytosine deaminase. In the case of cytosine base editing enzymes (BEs), they use a uracil glycosylase inhibitor (UGI) to prevent base excision repair and promote C > T transition mutations. A significant advancement known as prime editing has emerged, which involves fusing a dCas9 with a reverse transcriptase, enabling the engineering of various mutation types, such as missense mutations, insertions, and deletions. This is guided by a sequence template and an extended prime editing guide RNA (pegRNA). Additionally, to facilitate unbiased proteome mapping, researchers have employed engineered ascorbate peroxidase (APEX2) tethered to dCas9, enabling targeted biotinylation at specific genomic locations. Reprinted from [11] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: CRISPR, Selection, Knock-Out, Reverse Transcription, Mutagenesis, Sequencing
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 2 Different workflows used in CRISPR screening and mutagenesis. The CRISPR screening procedures commence by selecting the appropriate screening system, offering various options: A CRISPRko, where Cas9 is employed to disrupt genes, resulting in the generation of premature stop codons or frameshift mutations; CRISPRa, involving the attachment of activation domains (e.g., VPR, VP64) to dCas9, resulting in enhanced transcription of target genes; CRISPRi, on the contrary, employs repression domains (e.g., KRAB) tethered to dCas9, leading to a reduction in the transcription of target genes; Base editing screen, which uses a base editor (e.g., cytosine deaminase or adenine deaminase) with or without a uracil DNA glycosylase inhibitor to induce mutations without causing double-strand breaks. Once the suitable CRISPR screening method is chosen, the gRNA library is introduced into cells, creating a genetically altered cell population. These cells are exposed to drugs to select for drug-resistant populations. Subsequently, the gRNAs are extracted from the cells, amplified via PCR, and their target genes are determined using next-generation sequencing. B On the other hand, CRISPR mutagenesis screening begins with a gRNA library designed to induce in-frame mutations in the target protein coding sequence. After transducing the cells with the gRNA library, viable cells with protein variants are subjected to drug treatment, both with and without the drug. Activity-based cell sorting is used to enrich cells carrying mutations that make the drug ineffective, thereby identifying drug-resistant cells. Finally, the enriched cells are genotyped using deep sequencing to analyze structural changes and detect any escape mutants. Reprinted from [14] with permission from Cell Press
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: CRISPR, Mutagenesis, Activation Assay, Amplification, Next-Generation Sequencing, Sequencing, Activity Assay, FACS
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 3 The various mechanisms employed for gene editing. In the first part (a), Zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs), and CRISPR-Cas systems are capable of generating double-strand breaks (DSBs) at precise locations within the genome. Moving on to the second part (b), the introduction of DNA sequences or mutations into the DNA can be achieved by means of homology-directed repair (HDR) or non-homologous end joining (NHEJ) processes with the aid of a donor template. In mammalian cells, CRISPR-induced DSBs are generally mended via NHEJ, which can result in the incorporation of small insertions and/or deletions (indels), leading to gene inactivation due to frameshift mutations. When two DSBs occur on the same chromosome, a substantial segment can be deleted, whereas DSBs on different chromosomes can give rise to chromosomal rearrangements. The abbreviations found in the figure include dsDNA (double-stranded DNA), PAM (protospacer adjacent motif), sgRNA (single-guide RNA), ssDNA (single-stranded DNA), and TALE (transcription activator-like effector). Reprinted from [15] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: Zinc-Fingers, TALENs, CRISPR, Non-Homologous End Joining
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 4 The diverse applications of CRISPR technology within cancer research. In section a, the paragraph explains that the inhibition of a specific gene can be accomplished by combining Deactivated Cas9 (dCas9) with repressor domains. In section b, it discusses how the fusion of dCas9 with activation domains can stimulate the expression of a particular gene. Furthermore, it mentions that augmenting the binding of additional transcription activators to a single-guide RNA or dCas9 can intensify the expression of target exons. In section c, it states that when dCas9 is fused with epigenetic regulators, it can either repress or activate transcription. In section d, the paragraph talks about the focused introduction of point mutations in the genome, which is made possible by combining dCas9 with adenosine deaminase or cytidine deaminase, allowing for precise genetic modifications. Additionally, it provides explanations for the abbreviations KRAB (Kruppel-associated box) and scFv (single-chain variable fragment). Reprinted from [15] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: CRISPR, Inhibition, Activation Assay, Expressing, Binding Assay
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 5 Different strategies for editing cells using CRISPR technology in patients. On the left, ex vivo applications involve first isolating cells, then expanding and editing them before transplanting them back. On the right, in vivo editing occurs by administering CRISPR-Cas9 (or dCas9, not shown) locally or systemically using viral packaging or nanoparticles. The figure also highlights specific clinical trials. Abbreviations used include CRISPR (clustered regularly interspaced short palindromic repeats), dCas9 (dead Cas9), and HPV (human papillomavirus). Reprinted from [14] with permission from Cell Press
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: CRISPR, Ex Vivo, In Vivo, Clinical Proteomics
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 6 Employing CRISPR for creating cancer models in cells and mice. In the initial case (a), cultured cells or organoids undergo genome editing through CRISPR, which facilitates the incorporation of alterations or adjustments in transcriptional control at one or more phases. In the latter case (b), CRISPR mechanisms can be transferred to animal models using diverse methods, thereby enabling them to target numerous tissues and organs. One such approach involves utilizing adeno-associated viruses (AAV) for delivery. Reprinted from [15] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: CRISPR, Cell Culture, Control
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 7 A The CTX001 molecular approach and preclinical studies. Panel A illustrates the shift from fetal hemoglobin (HbF) to adult hemoglobin (HbA) shortly after birth and the role of the transcription factor BCL11A in suppressing γ-globin, a component of fetal hemoglobin. When fetal hemoglobin levels decrease approximately 3 months after birth, individuals who cannot produce enough functional β-globin experience symptoms. This has implications for conditions like sickle cell disease (SCD) and transfusion-dependent β-thalassemia (TDT). Moving to Panel B, it showcases the specific editing site targeted by the single guide RNA (sgRNA) that guides CRISPR-Cas9 to the erythroid-specific enhancer region of BCL11A. The five BCL11A exons are represented as gold boxes, and GATA1 is the binding site for the GATA1 transcription factor. PAM, the protospacer adjacent motif (NGG), is a specific DNA sequence required immediately following the Cas9 target DNA sequence. Panel C displays preclinical data that reveals the percentage of fetal hemoglobin as a portion of total hemoglobin after editing and the differentiation of erythroid cells. This data was obtained from samples taken from 10 healthy donors, with error bars indicating the standard deviation. Finally, Panel D presents the results of an off-target evaluation. GUIDE-seq (genomewide unbiased identification of double-strand breaks enabled by sequencing) was independently performed on three CD34 + HSPC (hematopoietic stem and progenitor cell) healthy donor samples to nominate sites. Subsequently, hybrid capture was conducted on four CD34 + HSPC healthy donor samples to confirm these sites. The on-target allelic editing was confirmed in each experiment with an average of 57%, and no detectable off-target editing was observed at any of the sites identified by GUIDE-seq and sequence homology. Panel A was adapted with permission from Canver and Orkin. B The data related to hemoglobin fractionation, F-cell levels, and transfusion events in the two groups of patients under study. Panel A depicts the results of CRISPR-Cas9 treatment for transfusion-dependent β-thalassemia in Patient 1, while Panel D presents data for Patient 2, who received treatment for sickle cell disease, showcasing various hemoglobin adducts and variants. The changes in F-cell percentages over time can be observed in Panel B for Patient 1 and in Panel E for Patient 2. Baseline levels of hemoglobin and F-cells were established during the initial assessment prior to treatment. Additionally, Panel C shows the progression of transfusion events over time in Patient 1, and Panel F displays vaso-occlusive crises (VOCs) or episodes and transfusion events in Patient 2. It’s worth noting that exchange transfusions performed according to the study protocol before the infusion of CTX001 during the on-study period are not included in the figures. Reprinted from [152] with permission from the New England Journal of Medicine
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: Functional Assay, CRISPR, Binding Assay, Sequencing, Standard Deviation, Fractionation
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 8 A The process and results of high-throughput quantification of gRNA efficiency in cells. In panel (a), a graphic illustrates the sequence of actions involved, which includes employing a lentiviral surrogate vector, synthesizing an oligo pool, performing PCR amplification, using golden-gate assembly, packing the genetic material into lentiviruses, and then introducing it. Panel (b) showcases the editing efficiency of gRNA at all surrogate locations, assessed through targeted amplicon sequencing. The results are presented for HEK293T-SpCas9 cells at 2, 8, and 10 days following the introduction. Panel (c) displays the correlation between gRNA editing efficiency on days 8 and 10 post-transduction. Panel (d) presents the patterns of indels (deletions ranging from 1–30 bp and insertions ranging from 1–10 bp) introduced by SpCas9 in HEK293T-SpCas9 cells at 2, 8, and 10 days after the transduction. Panel (e) depicts the agreement between the observed indel patterns in cells and those predicted by inDelphi, visualized as a violin plot with medians and quartiles. In panel (f), a scatter plot portrays the frequency of 1-bp insertion indels (mean ± 95% confidence interval), categorized based on the nucleotide at position N17 of the protospacer and the type of inserted nucleotide. Lastly, panel (g) exhibits the association between gRNA editing efficiencies in this study and those from other significant research, with a particular emphasis on common gRNA + PAM (23 nt) cases, presented using a Venn diagram. B The CRISPR on model and its ability to generalize on independent test sets. Panel a displays a visual depiction of the input DNA sequence for CRISPRon, including the prediction algorithm. The deep learning network receives inputs in the form of a one-hot encoded 30mer and the binding energy (ΔGB). It’s worth noting that only the filtering (convolutional) layers and the three fully connected layers are explicitly depicted, with the thin vertical bars representing the output of one layer, serving as the input for the next layer. In panel b, a performance evaluation comparing CRISPRon to other existing models is presented, specifically focusing on independent test sets containing over 1000 gRNAs. Reprinted from [223] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: High Throughput Screening Assay, Sequencing, Plasmid Preparation, Amplification, Transduction, CRISPR, Binding Assay
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 9 The functional domains of different CRISPR effectors and their applications in genome-scale screens. Multiple CRISPR effectors are accessible for disrupting coding and noncoding DNA and RNA segments. One commonly employed CRISPR effector is the CRISPR-associated 9 (Cas9) nuclease, which precisely cuts DNA at a specified target site guided by a guide RNA (gRNA). Noncoding regions can be suppressed with CRISPR interference (CRISPRi) by directing the catalytically inactive Cas9 (dCas9) to promoters and enhancer regions. It can be fused with repressor domains like methyl-CpG-binding protein 2 (MeCP2) and Krüppel-associated box (KRAB). Conversely, gene expression can be enhanced by directing dCas9 fusion proteins to regions around transcription start sites (TSSs). One approach is to fuse dCas9 with transcriptional activators such as VP64, p65, and Rta (VPR). Another method is fusing dCas9 with VP64 and using a modified single gRNA (sgRNA) to recruit the activator fusion complex MS2– p65–HSF1, collectively known as the synergistic activation modulator (SAM). In addition to targeting DNA, the Cas13 nuclease can be employed to cleave RNA at a specific site indicated by a gRNA. Furthermore, dCas9 can be combined with methyltransferases (e.g., DNA methyltransferase 3A or DNMT3A) to enable targeted DNA methylation or with proteins involved in DNA demethylation (e.g., tet methylcytosine dioxygenase 1 or TET1) to facilitate targeted DNA demethylation. Moreover, linking dCas9 to acetyltransferases like p300 or histone deacetylase proteins like histone deacetylase 3 (HDAC3) enables targeted histone acetylation or deacetylation, respectively. The design of gRNAs depends on the specific CRISPR effector and the intended targets of the CRISPR screen. When focusing on protein-coding genes, gRNAs can be designed to target either exons (using CRISPR nucleases) or regions near the transcription start site (TSS) of the gene (for CRISPRi or CRISPR activation (CRISPRa)). For saturation mutagenesis using nucleases, gRNAs are designed to target multiple noncoding regions around a gene of interest. In noncoding genome-wide screens using CRISPR nucleases, CRISPRi, or CRISPRa, gRNAs are tailored to specific genomic features like cis-regulatory elements. When silencing or amplifying noncoding RNAs with CRISPRi and CRISPRa, respectively, sgRNAs are directed to regions flanking the transcription start site (TSS) of a noncoding RNA gene. Reprinted from [11] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: Functional Assay, CRISPR, Binding Assay, Gene Expression, Modification, Activation Assay, DNA Methylation Assay, Histone Deacetylase Assay, Mutagenesis, Genome Wide
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 10 Illustrates the application of CRISPR in immuno-oncology. In scenario a, primary T cells extracted and purified from cancer patients can have a chimeric antigen receptor (CAR) inserted using CRISPR technology, instead of lentiviral-mediated transduction. CRISPR can also be employed to deactivate immune-checkpoint genes, such as PD-1 and CTLA-4, within these T cells. Alternatively, scenario b involves the isolation and purification of primary T cells from healthy donors not diagnosed with cancer. CRISPR systems are used to introduce a CAR into these cells, and they can also be utilized to inactivate the genes responsible for T cell receptor (TCR) and HLA components. This process generates ’universal’ allogeneic CAR T cells, which can be infused into cancer patients. Reprinted from [15] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: CRISPR, Purification, Transduction, Isolation, Introduce
Journal: Molecular cancer
Article Title: Comprehensive review of CRISPR-based gene editing: mechanisms, challenges, and applications in cancer therapy.
doi: 10.1186/s12943-023-01925-5
Figure Lengend Snippet: Fig. 11 The ex vivo CRISPR manipulation of human T cells for adoptive T cell therapy. Ongoing clinical trials are currently dedicated to assessing the safety and effectiveness of CRISPR-engineered T cells through ex vivo modification and subsequent transfer. The goal is to enhance the anti-cancer response of T cells taken from healthy donors or patients. These trials investigate the potential of both allogeneic (from different donors) and autologous (from the patient themselves) T cells in various approaches, including tumor-infiltrating lymphocytes (TILs) and chimeric antigen receptor (CAR) T cells. One of the methods involves using CRISPR-Cas9 to remove immunosuppressive factors, like the programmed cell death protein 1 (PD1) ligand, from human primary T cells. This approach is being tested for adoptive T cell therapy involving both TILs and CAR T cells. The delivery of CRISPR-Cas9 ribonucleoproteins (RNPs) allows precise editing of immunosuppressive factors such as PD1 by guiding Cas9 to specific locations. Researchers are also exploring the deletion of the endogenous T cell receptor (TCR) using CRISPR-Cas9 to prevent TCR priming or immune rejection in the case of allogeneic T cells. Another avenue being explored is the replacement of the endogenous TCR with a cancer antigen-specific TCR, either through a TCR transgene or a CAR element. This has been shown to enhance the killing of cancer cells by T cells. In clinical trials, CRISPR-Cas9 homology-directed repair (HDR)-mediated knock-in to the T cell receptor α-chain constant (TRAC) locus is used to deliver CAR elements, and its efficacy is being tested. Additionally, CRISPR is used to delete the endogenous T cell receptor-β constant (TRBC) locus and endogenous major histocompatibility complex class I (MHC-I) to prevent immune rejection after transplant, and to remove immunosuppressive factors, all aimed at improving T cell activity in CAR T cells. Next-generation sequencing (NGS) is employed to confirm the engineered T cells, ensuring accurate on-target editing with minimal off-target effects. The expanded and validated T cells are then transplanted into the cancer patient, and disease progression is closely monitored to assess the safety and efficacy of the engineered T cells. Reprinted from [11] with permission from Springer Nature
Article Snippet: Brouns SJJ, Jore MM, Lundgren M, Westra ER, Slijkhuis RJH,
Techniques: Ex Vivo, CRISPR, Clinical Proteomics, Modification, Knock-In, Immunopeptidomics, Activity Assay, Next-Generation Sequencing, Biomarker Discovery