The Histone Chaperone FACT Induces Cas9 Multi-Turnover Behavior and Modifies
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Pooled CRISPR-Activation Screening Coupled with Single-Cell RNA-Seq in Mouse Embryonic Stem Cells
ll OPEN ACCESS Protocol Pooled CRISPR-activation screening coupled with single-cell RNA-seq in mouse embryonic stem cells Celia Alda-Catalinas, Melanie A. Eckersley-Maslin, Wolf Reik celia.x.aldacatalinas@gsk. com (C.A.-C.) [email protected]. uk (W.R.) Highlights Protocol for CRISPRa screens with single- cell readout to interrogate gene function Detailed description of CRISPRa screening procedures in mouse embryonic stem cells Detailed steps on how to construct derived single-cell sgRNA amplicon libraries CRISPR/Cas9 screens are a powerful approach to identify key regulators of biological processes. By combining pooled CRISPR/Cas9 screening with a single-cell RNA-sequencing readout, individual perturbations can be assessed in parallel both comprehensively and at scale. Importantly, this allows gene function and regulation to be interrogated at a cellular level in an unbiased manner. Here, we present a protocol to perform pooled CRISPR-activation screens in mouse embryonic stem cells using 103 Genomics scRNA-seq as a readout. Alda-Catalinas et al., STAR Protocols 2, 100426 June 18, 2021 ª 2021 The Authors. https://doi.org/10.1016/ j.xpro.2021.100426 ll OPEN ACCESS Protocol Pooled CRISPR-activation screening coupled with single-cell RNA-seq in mouse embryonic stem cells Celia Alda-Catalinas,1,4,7,* Melanie A. Eckersley-Maslin,1,5,6 and Wolf Reik1,2,3,8,* 1Epigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK 2Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK 3Centre for Trophoblast Research, University of -
A CRISPR Activation and Interference Toolkit for Industrial Saccharomyces Cerevisiae Strain KE6‑12 Elena Cámara, Ibai Lenitz & Yvonne Nygård*
www.nature.com/scientificreports OPEN A CRISPR activation and interference toolkit for industrial Saccharomyces cerevisiae strain KE6‑12 Elena Cámara, Ibai Lenitz & Yvonne Nygård* Recent advances in CRISPR/Cas9 based genome editing have considerably advanced genetic engineering of industrial yeast strains. In this study, we report the construction and characterization of a toolkit for CRISPR activation and interference (CRISPRa/i) for a polyploid industrial yeast strain. In the CRISPRa/i plasmids that are available in high and low copy variants, dCas9 is expressed alone, or as a fusion with an activation or repression domain; VP64, VPR or Mxi1. The sgRNA is introduced to the CRISPRa/i plasmids from a double stranded oligonucleotide by in vivo homology‑directed repair, allowing rapid transcriptional modulation of new target genes without cloning. The CRISPRa/i toolkit was characterized by alteration of expression of fuorescent protein‑encoding genes under two diferent promoters allowing expression alterations up to ~ 2.5‑fold. Furthermore, we demonstrated the usability of the CRISPRa/i toolkit by improving the tolerance towards wheat straw hydrolysate of our industrial production strain. We anticipate that our CRISPRa/i toolkit can be widely used to assess novel targets for strain improvement and thus accelerate the design‑build‑test cycle for developing various industrial production strains. Te yeast Saccharomyces cerevisiae is one of the most commonly used microorganisms for industrial applications ranging from wine and beer fermentations to the production of biofuels and high-value metabolites1,2. How- ever, some of the current production processes are compromised by low yields and productivities, thus further optimization is required3. -
Advances in Genomics for Drug Development
G C A T T A C G G C A T genes Review Advances in Genomics for Drug Development Roberto Spreafico , Leah B. Soriaga, Johannes Grosse, Herbert W. Virgin and Amalio Telenti * Vir Biotechnology, Inc., San Francisco, CA 94158, USA; Rspreafi[email protected] (R.S.); [email protected] (L.B.S.); [email protected] (J.G.); [email protected] (H.W.V.) * Correspondence: [email protected] Received: 24 July 2020; Accepted: 13 August 2020; Published: 15 August 2020 Abstract: Drug development (target identification, advancing drug leads to candidates for preclinical and clinical studies) can be facilitated by genetic and genomic knowledge. Here, we review the contribution of population genomics to target identification, the value of bulk and single cell gene expression analysis for understanding the biological relevance of a drug target, and genome-wide CRISPR editing for the prioritization of drug targets. In genomics, we discuss the different scope of genome-wide association studies using genotyping arrays, versus exome and whole genome sequencing. In transcriptomics, we discuss the information from drug perturbation and the selection of biomarkers. For CRISPR screens, we discuss target discovery, mechanism of action and the concept of gene to drug mapping. Harnessing genetic support increases the probability of drug developability and approval. Keywords: druggability; loss-of-function; CRISPR 1. Introduction For over 20 years, genomics has been used as a tool for accelerating drug development. Various conceptual approaches and techniques assist target identification, target prioritization and tractability, as well as the prediction of outcomes from pharmacological perturbations. These basic premises are now supported by a rapid expansion of population genomics initiatives (sequencing or genotyping of hundreds of thousands of individuals), in-depth understanding of disease and drug perturbation at the tissue and single-cell level as measured by transcriptome analysis, and by the capacity to screen for loss of function or activation of genes, genome-wide, using CRISPR technologies. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Spatiotemporal Control of CRISPR/Cas9 Gene Editing
Signal Transduction and Targeted Therapy www.nature.com/sigtrans REVIEW ARTICLE OPEN Spatiotemporal control of CRISPR/Cas9 gene editing Chenya Zhuo1, Jiabin Zhang1, Jung-Hwan Lee2, Ju Jiao3, Du Cheng4, Li Liu5, Hae-Won Kim2,YuTao1 and Mingqiang Li 1,6 The clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein 9 (CRISPR/Cas9) gene editing technology, as a revolutionary breakthrough in genetic engineering, offers a promising platform to improve the treatment of various genetic and infectious diseases because of its simple design and powerful ability to edit different loci simultaneously. However, failure to conduct precise gene editing in specific tissues or cells within a certain time may result in undesirable consequences, such as serious off-target effects, representing a critical challenge for the clinical translation of the technology. Recently, some emerging strategies using genetic regulation, chemical and physical strategies to regulate the activity of CRISPR/Cas9 have shown promising results in the improvement of spatiotemporal controllability. Herein, in this review, we first summarize the latest progress of these advanced strategies involving cell-specific promoters, small-molecule activation and inhibition, bioresponsive delivery carriers, and optical/thermal/ultrasonic/magnetic activation. Next, we highlight the advantages and disadvantages of various strategies and discuss their obstacles and limitations in clinical translation. Finally, we propose viewpoints on directions that can be explored to -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Custom CRISPR Activation & Interference Libraries
Custom CRISPR Activation & Interference Libraries CRISPR interference (CRISPRi) CRISPR activation (CRISPRa) CRISPR/Cas can be harnessed to suppress the expression of Synthetic transcription factors have enabled a number genes by targeting a region of active transcription with a guide of important advances in biomedical and basic scientific RNA and using a Cas9 protein that has been deactivated and research. CRISPR/Cas can be used to turn on expression of fused to a repressor domain. This has been demonstrated to be target genes by using an inactivated Cas9 fused with a non- a viable approach to high throughput screening and provides a specific transcription inducing domain. CRISPRa has been method for RNA-guided gene deactivation that complements demonstrated to work on a genome-wide scale as a simple, both CRISPR knock-outs and RNAi. versatile approach for RNA-guided gene activation. CRISPR Transcriptional Interference CRISPR Transcriptional Activation inactivating interrupted Elongation Block mutations mRNA x transcript RNA Pol II sgRNA Transcriptional activator protein genomic RNA Pol II DNA Catalytically dCAS9 Exon 1 of gene X inactive Cas9 VP64 Initiation Block gRNA RNA Pol II dCAS9 x sgRNA Gene of interest Exon 1 of gene X promoter Target sequence dCAS9 PAM sequence CRISPRi Libraries CRISPRa Libraries HUMAN MOUSE HUMAN MOUSE # of Genes 18,730 19,846 # of Genes 18,574 19,949 # of Guides 205,648 guides total 212,376 guides total # of Guides 201,530 guides total 208,066 guides total Custom SureGuide CRISPR Libraries for CRISPR a/i • Ready-to-Amplify libraries, up to ~70,000 guides per library • Ready-to-Clone libraries, up to ~70,000 guides per library CRISPR a/i libraries are designed with content from UCSF. -
A Novel Eukaryote‐Like CRISPR Activation Tool in Bacteria
METHODS, MODELS & TECHNIQUES Prospects & Overviews www.bioessays-journal.com A Novel Eukaryote-Like CRISPR Activation Tool in Bacteria: Features and Capabilities Yang Liu and Baojun Wang* friend or foe” system, scientists are CRISPR (clustered regularly interspaced short palindromic repeats) activation able to guide the endonucleases to (CRISPRa) in bacteria is an attractive method for programmable gene their desired DNA or RNA targets.[5–8] activation. Recently, a eukaryote-like, 54-dependent CRISPRa system has CRISPR regulation relies on inactivated been reported. It exhibits high dynamic ranges and permits flexible target site CRISPR endonucleases. The nuclease- deficient CRISPR DNA endonucleases, selection. Here, an overview of the existing strategies of CRISPRa in bacteria for instances dCas9 and ddCpf1 (dCas12), is presented, and the characteristics and design principles of the CRISPRa are effectively programmable DNA bind- system are introduced. Possible scenarios for applying the eukaryote-like ing domains. When these domains are CRISPRa system is discussed with corresponding suggestions for tethered to transactivation domains or performance optimization and future functional expansion. The authors subunits of RNA polymerase, they ac- envision the new eukaryote-like CRISPRa system enabling novel designs in tivate the promoters near the CRISPR target sites. This strategy has been 54 multiplexed gene regulation and promoting research in the -dependent widely utilized in both eukaryotes and gene regulatory networks among a variety of biotechnology relevant or prokaryotes,[9–17] particularly in the former, disease-associated bacterial species. where the transcription activation mecha- nisms and the activators are well-studied. While CRISPRa in eukaryotes enjoys much success and is continuously im- 1. -
UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Insights from reconstructing cellular networks in transcription, stress, and cancer Permalink https://escholarship.org/uc/item/6s97497m Authors Ke, Eugene Yunghung Ke, Eugene Yunghung Publication Date 2012 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Insights from Reconstructing Cellular Networks in Transcription, Stress, and Cancer A dissertation submitted in the partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics and Systems Biology by Eugene Yunghung Ke Committee in charge: Professor Shankar Subramaniam, Chair Professor Inder Verma, Co-Chair Professor Web Cavenee Professor Alexander Hoffmann Professor Bing Ren 2012 The Dissertation of Eugene Yunghung Ke is approved, and it is acceptable in quality and form for the publication on microfilm and electronically ________________________________________________________________ ________________________________________________________________ ________________________________________________________________ ________________________________________________________________ Co-Chair ________________________________________________________________ Chair University of California, San Diego 2012 iii DEDICATION To my parents, Victor and Tai-Lee Ke iv EPIGRAPH [T]here are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there -
Supplemental Figure 1. Sirna Silencing Efficiency. THP-1 Cells Were Differentiated and Treated with No Sirna, Control Scrambled
Supplemental Figure 1. siRNA silencing efficiency. THP-1 cells were differentiated and treated with no siRNA, control scrambled siRNA, or siRNA targeting the indicated proteins as described in the Materials and Methods section. At 48 h after transfection RNA was extracted and converted to cDNA and RT-PCR was performed to assess silencing efficiency for a randomly selected group of targets. Overall silencing ranged from 27% to 95%, with a mean of 66% and SEM of 5.8%. Data shown (mean ± SEM) are compiled from 3 technical and 2 biological replicates. Supplemental Figure 2. Additional mouse survival studies. A. Survival of C57BL/6 mice treated with either PBS alone (blue) or with 250 µg/g body weight KN93 in PBS (orange). Mice were treated one day prior to infection with 5 x 104 cryptococci and three times a week post-infection. Results are from one experiment with 6 mice per group; p < 0.05 by LogRank test. D. Wild type (WT; n=10) and CaMK4 knockout mice (n=9) were infected with C. neoformans and monitored as detailed in the Methods. Results are from one experiment; p < 0.05 by LogRank test. ) 10 CFU (Log CFU ) 10 CFU (Log CFU ) 10 CFU (Log CFU Supplemental Figure 3. Absence of CamK4 does not influence organ burden of C. neoformans. Lung, brain, and spleen were harvested from WT (blue) and CaMK4-/- (orange) mice at the indicated times after intranasal infection with 5 x 104 cryptococci, and fungal burden was assessed by colony forming units (CFU). Data are from 2 independent experiments with 6-10 mice per group per time point; means ± SEM are plotted. -
ILDR2 in Hepatic Lipid Metabolism and Pancreas Islet Function
Investigating the Role of ILDR2 in Hepatic Lipid Metabolism and Pancreas Islet Function Elizabeth J. Millings Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2017 © 2017 Elizabeth J. Millings All rights reserved ABSTRACT Investigating the Role of ILDR2 in Hepatic Lipid Metabolism and Pancreas Islet Function Elizabeth J. Millings Metabolic syndrome defines a cluster of related comorbidities including obesity, Type 2 diabetes, fatty liver disease, and cardiovascular diseases. Increasingly prevalent in Western countries, metabolic syndrome diseases are a major focus of efforts to understand the complex genetics that underlie disease risk and severity. Immunoglobulin domain-containing receptor 2 (ILDR2) is an endoplasmic reticulum transmembrane protein first identified as a candidate genetic modifier of diabetes susceptibility in the context of obesity. Obese, leptin-deficient mice with hypomorphic Ildr2 expression had hypoinsulinemic hyperglycemia with reduced beta cell mass, suggesting that ILDR2 plays a role in maintain beta cell mass and function. Further studies proposed a role for ILDR2 in hepatic lipid metabolism as Ildr2 shRNA-mediated knockdown (KD) caused hepatic steatosis in mice. The goal of this thesis work is to clarify the role of ILDR2 in diabetes and hepatic steatosis in an effort to elucidate the specific mechanism of ILDR2. We developed a conditional Ildr2 knockout (KO) allele, enabling tissue-specific ablation in mice. Liver-specific and hepatocyte-specific KO mice did not develop hepatic steatosis. However, liver-specific KO mice treated with adenoviral Ildr2 shRNA accumulated hepatic triglycerides, suggesting off-target effects of the shRNA.