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Applications of the CRISPR/Cas system beyond gene editing

Anton, Tobias, Karg, Elisabeth, Bultmann, Sebastian·2018·Biology Methods and Protocols

Abstract

Since the discovery of the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated system (Cas) as a tool for gene editing a plethora of locus-specific as well as genome-wide approaches have been developed that allow efficient and reproducible manipulation of genomic sequences. However, the seemingly unbound potential of CRISPR/Cas does not stop with its utilization as a site-directed nuclease. Mutations in its catalytic centers render Cas9 (dCas9) a universal recruitment platform that can be utilized to control transcription, visualize DNA sequences, investigate in situ proteome compositions and manipulate epigenetic modifications at user-defined genomic loci. In this review, we give a comprehensive introduction and overview of the development, improvement and application of recent dCas9-based approaches.

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Figure 1: Overview of dCas9-based applications to study and manipulate chromatin. (A) Catalytically inactive Cas9 (dCas9) represents a RNA-guided DNA-binding platform that can be harnessed to target FP to a pre-defined genomic sequence and allows to visualize spatiotemporal dynamics of chromatin in living cells. (B) Fused to a variety of effector proteins, dCas9 can be employed to directly alter the transcriptional state of specific genes or to precisely manipulate epigenetic marks, such as CpG-methylation or post-translational modifications of histones. (C) Additionally, dCas9 can be fused to biotin ligases (tag = BirA* or APEX2). This approach allows to biotinylate (red pentagons) locus-associated proteins and to subsequently identify them by mass spectrometry.
Figure 1: Overview of dCas9-based applications to study and manipulate chromatin. (A) Catalytically inactive Cas9 (dCas9) represents a RNA-guided DNA-binding platform that can be harnessed to target FP to a pre-defined genomic sequence and allows to visualize spatiotemporal dynamics of chromatin in living cells. (B) Fused to a variety of effector proteins, dCas9 can be employed to directly alter the transcriptional state of specific genes or to precisely manipulate epigenetic marks, such as CpG-methylation or post-translational modifications of histones. (C) Additionally, dCas9 can be fused to biotin ligases (tag = BirA* or APEX2). This approach allows to biotinylate (red pentagons) locus-associated proteins and to subsequently identify them by mass spectrometry.CC BY-NC · PubMed Central
Figure 2: Expanding the CRISPR imaging toolkit. (A, B) To enhance the signal-to-noise ratio of CRISPR imaging, dCas9 is fused to arrays of small peptide epitopes (GCN4 and sfGFP11). These epitopes then either recruit fluorescent molecules (scFv-GFP) or are complemented (sfGFP1–10), reconstituting fluorescence. (C–E) Multi-color CRISPR imaging can be achieved by either co-expressing differentially labeled orthogonal dCas9 proteins (Sp-dCas9-GFP and Nm-dCas9-RFP) or by fusion of RNA aptamers (PP7 or MS2) to the sgRNA and co-expressing the cognate, fluorescently tagged binding proteins (PCP-GFP and MCP-GFP, respectively). Moreover, sgRNAs can be appended by PUF-binding sites (PBS1 or PBS2, respectively). These sites are then recognized by differentially tagged PUF proteins (PUF1-GFP and PUF2-RFP). (F) By substituting the PAM sequence in the form of an oligonucleotide (PAMmer), dCas9 can be targeted to single stranded RNA molecules.
Figure 2: Expanding the CRISPR imaging toolkit. (A, B) To enhance the signal-to-noise ratio of CRISPR imaging, dCas9 is fused to arrays of small peptide epitopes (GCN4 and sfGFP11). These epitopes then either recruit fluorescent molecules (scFv-GFP) or are complemented (sfGFP1–10), reconstituting fluorescence. (C–E) Multi-color CRISPR imaging can be achieved by either co-expressing differentially labeled orthogonal dCas9 proteins (Sp-dCas9-GFP and Nm-dCas9-RFP) or by fusion of RNA aptamers (PP7 or MS2) to the sgRNA and co-expressing the cognate, fluorescently tagged binding proteins (PCP-GFP and MCP-GFP, respectively). Moreover, sgRNAs can be appended by PUF-binding sites (PBS1 or PBS2, respectively). These sites are then recognized by differentially tagged PUF proteins (PUF1-GFP and PUF2-RFP). (F) By substituting the PAM sequence in the form of an oligonucleotide (PAMmer), dCas9 can be targeted to single stranded RNA molecules.CC BY-NC · PubMed Central
Figure 3: Identification of locus associated proteins by dCas9. (A) For enChIP, dCas9 is fused to a FLAG-tag and targeted to a locus of interest. Chromatin is then crosslinked and fragmented. dCas9-bound chromatin fragments are subsequently isolated by FLAG-specific antibodies and analyzed via mass spectrometry. (B) Contrary to enChIP, CasID requires the expression of dCas9 fused to the promiscuous biotin ligase BirA*. After the culture medium has been supplemented with exogenous biotin, BirA* catalyzes the addition of biotin to lysine residues of proteins that are in close proximity to the dCas9-BirA* fusion protein. Lysis of the cells and denaturation of proteins is then followed by affinity purification of biotinylated peptides, which are identified via tandem MS.
Figure 3: Identification of locus associated proteins by dCas9. (A) For enChIP, dCas9 is fused to a FLAG-tag and targeted to a locus of interest. Chromatin is then crosslinked and fragmented. dCas9-bound chromatin fragments are subsequently isolated by FLAG-specific antibodies and analyzed via mass spectrometry. (B) Contrary to enChIP, CasID requires the expression of dCas9 fused to the promiscuous biotin ligase BirA*. After the culture medium has been supplemented with exogenous biotin, BirA* catalyzes the addition of biotin to lysine residues of proteins that are in close proximity to the dCas9-BirA* fusion protein. Lysis of the cells and denaturation of proteins is then followed by affinity purification of biotinylated peptides, which are identified via tandem MS.CC BY-NC · PubMed Central

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Research works printed but not linked: 103

  1. Samson, 2013, Revenge of the phages: defeating bacterial defences, Nat Rev Microbiol, 11, 675, 10.1038/nrmicro3096 · DOI
  2. Barrangou, 2007, CRISPR provides acquired resistance against viruses in prokaryotes, Science, 315, 1709., 10.1126/science.1138140 · DOI · Paper page
  3. Grissa, 2007, CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats, Nucleic Acids Res, 35, W52, 10.1093/nar/gkm360 · DOI
  4. Ishino, 1987, Nucleotide sequence of the iap gene, responsible for alkaline phosphatase isozyme conversion in Escherichia coli, and identification of the gene product, J Bacteriol, 169, 5429, 10.1128/JB.169.12.5429-5433.1987 · DOI · Paper page
  5. Ratner, 2016, Overview of CRISPR–Cas9 biology, Cold Spring Harb Protoc, 2016, pdb.top088849., 10.1101/pdb.top088849 · DOI
  6. Carte, 2008, Cas6 is an endoribonuclease that generates guide RNAs for invader defense in prokaryotes, Genes Dev, 22, 3489, 10.1101/gad.1742908 · DOI
  7. Garside, 2012, Cas5d processes pre-crRNA and is a member of a larger family of CRISPR RNA endonucleases, RNA, 18, 2020, 10.1261/rna.033100.112 · DOI
  8. Nam, 2012, Cas5d protein processes pre-crRNA and assembles into a cascade-like interference complex in subtype I-C/Dvulg CRISPR-Cas system, Structure, 20, 1574, 10.1016/j.str.2012.06.016 · DOI
  9. Jore, 2011, Structural basis for CRISPR RNA-guided DNA recognition by Cascade, Nat Struct Mol Biol, 18, 529, 10.1038/nsmb.2019 · DOI
  10. Westra, 2012, CRISPR immunity relies on the consecutive binding and degradation of negatively supercoiled invader DNA by Cascade and Cas3, Mol. Cell, 46, 595, 10.1016/j.molcel.2012.03.018 · DOI
  11. Hrle, 2013, Structure and RNA-binding properties of the type III-A CRISPR-associated protein Csm3. RNA, Biol, 10, 1670
  12. Samai, 2015, Co-transcriptional DNA and RNA cleavage during Type III CRISPR-Cas immunity, Cell, 161, 1164, 10.1016/j.cell.2015.04.027 · DOI · Paper page
  13. Staals, 2013, Structure and activity of the RNA-targeting Type III-B CRISPR-Cas complex of Thermus thermophilus, Mol Cell, 52, 135, 10.1016/j.molcel.2013.09.013 · DOI
  14. Staals, 2014, RNA targeting by the type III-A CRISPR-Cas Csm complex of Thermus thermophilus, Mol Cell, 56, 518, 10.1016/j.molcel.2014.10.005 · DOI
  15. Dickinson, 2016, CRISPR-based methods for caenorhabditis elegans genome engineering, Genetics, 202, 885, 10.1534/genetics.115.182162 · DOI
  16. Henao-Mejia, 2016, Generation of genetically modified mice using the CRISPR-Cas9 genome-editing system, Cold Spring Harb Protoc, 2016, pdb.prot090704., 10.1101/pdb.prot090704 · DOI
  17. Housden, 2016, Cas9-mediated genome engineering in Drosophila melanogaster, Cold Spring Harb Protoc, 2016, pdb.top086843., 10.1101/pdb.top086843 · DOI
  18. Mali, 2013, RNA-guided human genome engineering via Cas9, Science, 339, 823, 10.1126/science.1232033 · DOI · Paper page
  19. Vejnar, 2016, Optimized CRISPR-Cas9 system for genome editing in zebrafish, Cold Spring Harb Protoc, 2016, pdb.prot086850., 10.1101/pdb.prot086850 · DOI
  20. McVey, 2008, MMEJ repair of double-strand breaks (director’s cut): deleted sequences and alternative endings, Trends Genet, 24, 529, 10.1016/j.tig.2008.08.007 · DOI
  21. Cong, 2013, Multiplex genome engineering using CRISPR/Cas systems, Science, 339, 819, 10.1126/science.1231143 · DOI · Paper page
  22. Jinek, 2012, A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity, Science, 337, 816, 10.1126/science.1225829 · DOI · Paper page
  23. Ariyoshi, 1994, Atomic structure of the RuvC resolvase: a holliday junction-specific endonuclease from E. coli, Cell, 78, 1063, 10.1016/0092-8674(94)90280-1 · DOI
  24. Gorecka, 2013, Crystal structure of RuvC resolvase in complex with Holliday junction substrate, Nucleic Acids, 10.1093/nar/gkt769 · DOI
  25. Biertümpfel, 2007, Crystal structure of T4 endonuclease VII resolving a Holliday junction, Nature, 449, 616, 10.1038/nature06152 · DOI
  26. Li, 2003, DNA binding and cleavage by the periplasmic nuclease Vvn: a novel structure with a known active site, EMBO J, 22, 4014, 10.1093/emboj/cdg377 · DOI
  27. Qi, 2013, Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression, Cell, 152, 1173, 10.1016/j.cell.2013.02.022 · DOI · Paper page
  28. Bolzer, 2005, Three-dimensional maps of all chromosomes in human male fibroblast nuclei and prometaphase rosettes, PLoS Biol, 3, e157, 10.1371/journal.pbio.0030157 · DOI
  29. Raj, 2009, Single-molecule approaches to stochastic gene expression, Annu Rev Biophys, 38, 255, 10.1146/annurev.biophys.37.032807.125928 · DOI
  30. Kanda, 1998, Histone-GFP fusion protein enables sensitive analysis of chromosome dynamics in living mammalian cells, Curr Biol, 8, 377, 10.1016/S0960-9822(98)70156-3 · DOI
  31. Manders, 1999, Direct imaging of DNA in living cells reveals the dynamics of chromosome formation, J Cell Biol, 144, 813, 10.1083/jcb.144.5.813 · DOI
  32. Martin, 2005, DNA labeling in living cells, Cytometry A, 67, 45, 10.1002/cyto.a.20172 · DOI
  33. Krawczyk, 2012, Chromatin mobility is increased at sites of DNA double-strand breaks, J Cell Sci, 125, 2127., 10.1242/jcs.089847 · DOI
  34. Shelby, 1996, Dynamic elastic behavior of alpha-satellite DNA domains visualized in situ in living human cells, J Cell Biol, 135, 545., 10.1083/jcb.135.3.545 · DOI
  35. Robinett, 1996, In vivo localization of DNA sequences and visualization of large-scale chromatin organization using lac operator/repressor recognition, J Cell Biol, 135, 1685, 10.1083/jcb.135.6.1685 · DOI
  36. Roukos, 2013, Spatial dynamics of chromosome translocations in living cells, Science, 341, 660., 10.1126/science.1237150 · DOI
  37. Gersbach, 2014, Activating human genes with zinc finger proteins, transcription activator-like effectors and CRISPR/Cas9 for gene therapy and regenerative medicine, Expert Opin Ther Targets, 18, 835, 10.1517/14728222.2014.913572 · DOI
  38. Laity, 2001, Zinc finger proteins: new insights into structural and functional diversity, Curr Opin Struct Biol, 11, 39, 10.1016/S0959-440X(00)00167-6 · DOI
  39. Miller, 1985, Repetitive zinc-binding domains in the protein transcription factor IIIA from Xenopus oocytes, EMBO J, 4, 1609, 10.1002/j.1460-2075.1985.tb03825.x · DOI
  40. Tupler, 2001, Expressing the human genome, Nature, 409, 832, 10.1038/35057011 · DOI
  41. Elrod-Erickson, 1996, Zif268 protein-DNA complex refined at 1.6 A: a model system for understanding zinc finger-DNA interactions, Structure, 4, 1171, 10.1016/S0969-2126(96)00125-6 · DOI · Paper page
  42. Pavletich, 1991, Zinc finger-DNA recognition: crystal structure of a Zif268-DNA complex at 2.1 A, Science, 252, 809, 10.1126/science.2028256 · DOI
  43. Liu, 1997, Design of polydactyl zinc-finger proteins for unique addressing within complex genomes, Proc Natl Acad Sci U S A, 94, 5525, 10.1073/pnas.94.11.5525 · DOI · Paper page
  44. Lindhout, 2007, Live cell imaging of repetitive DNA sequences via GFP-tagged polydactyl zinc finger proteins, Nucleic Acids Res, 35, e107., 10.1093/nar/gkm618 · DOI
  45. DeFrancesco, 2011, Move over ZFNs, Nat Biotechnol, 29, 681, 10.1038/nbt.1935 · DOI
  46. Ramirez, 2008, Unexpected failure rates for modular assembly of engineered zinc fingers, Nat Methods, 5, 374, 10.1038/nmeth0508-374 · DOI
  47. Segal, 1999, Toward controlling gene expression at will: selection and design of zinc finger domains recognizing each of the 5’-GNN-3' DNA target sequences, Proc Natl Acad Sci U S A, 96, 2758, 10.1073/pnas.96.6.2758 · DOI · Paper page
  48. Ma, 2013, Visualization of repetitive DNA sequences in human chromosomes with transcription activator-like effectors, Proc Natl Acad Sci U S A, 110, 21048, 10.1073/pnas.1319097110 · DOI
  49. Miyanari, 2013, Live visualization of chromatin dynamics with fluorescent TALEs, Nat Struct Mol Biol, 20, 1321, 10.1038/nsmb.2680 · DOI
  50. Ren, 2017, Visualization of aging-associated chromatin alterations with an engineered TALE system, Cell Res, 27, 483, 10.1038/cr.2017.18 · DOI
  51. Thanisch, 2014, Targeting and tracing of specific DNA sequences with dTALEs in living cells, Nucleic Acids Res, 42, e38., 10.1093/nar/gkt1348 · DOI
  52. Yuan, 2014, Illuminating DNA replication during Drosophila development using TALE-lights, Curr Biol, 24, R144, 10.1016/j.cub.2014.01.023 · DOI
  53. Boch, 2009, Breaking the code of DNA binding specificity of TAL-type III effectors, Science, 326, 1509, 10.1126/science.1178811 · DOI · Paper page
  54. Morbitzer, 2011, Assembly of custom TALE-type DNA binding domains by modular cloning, Nucleic Acids Res, 39, 5790, 10.1093/nar/gkr151 · DOI
  55. Reyon, 2012, FLASH assembly of TALENs for high-throughput genome editing, Nat Biotechnol, 30, 460, 10.1038/nbt.2170 · DOI
  56. Schmid-Burgk, 2013, A ligation-independent cloning technique for high-throughput assembly of transcription activator-like effector genes, Nat Biotechnol, 31, 76, 10.1038/nbt.2460 · DOI
  57. Anton, 2014, Visualization of specific DNA sequences in living mouse embryonic stem cells with a programmable fluorescent CRISPR/Cas system, Nucleus, 5, 163, 10.4161/nucl.28488 · DOI
  58. Chen, 2013, Dynamic imaging of genomic loci in living human cells by an optimized CRISPR/Cas system, Cell, 155, 1479, 10.1016/j.cell.2013.12.001 · DOI
  59. Köferle, 2016, CORALINA: a universal method for the generation of gRNA libraries for CRISPR-based screening, BMC Genomics, 17, 917, 10.1186/s12864-016-3268-z · DOI
  60. Lane, 2015, Enzymatically generated CRISPR libraries for genome labeling and screening, Dev Cell, 34, 373, 10.1016/j.devcel.2015.06.003 · DOI
  61. Tanenbaum, 2014, A protein-tagging system for signal amplification in gene expression and fluorescence imaging, Cell, 159, 635, 10.1016/j.cell.2014.09.039 · DOI
  62. Ye, 2017, Live cell imaging of genomic loci using dCas9-SunTag system and a bright fluorescent protein, Protein Cell, 8, 853, 10.1007/s13238-017-0460-0 · DOI
  63. Kamiyama, 2016, Versatile protein tagging in cells with split fluorescent protein, Nat Comms, 7, 11046, 10.1038/ncomms11046 · DOI
  64. Cabantous, 2005, Protein tagging and detection with engineered self-assembling fragments of green fluorescent protein, Nat Biotechnol, 23, 102, 10.1038/nbt1044 · DOI
  65. Ma, 2015, Multicolor CRISPR labeling of chromosomal loci in human cells, Proc Natl Acad Sci U S A, 112, 3002, 10.1073/pnas.1420024112 · DOI
  66. Esvelt, 2013, Orthogonal Cas9 proteins for RNA-guided gene regulation and editing, Nat Methods, 10, 1116, 10.1038/nmeth.2681 · DOI · Paper page
  67. Chen, 2016, Expanding the CRISPR imaging toolset with Staphylococcus aureus Cas9 for simultaneous imaging of multiple genomic loci, Nucleic Acids Res, 44, e75., 10.1093/nar/gkv1533 · DOI
  68. Fu, 2016, CRISPR-dCas9 and sgRNA scaffolds enable dual-colour live imaging of satellite sequences and repeat-enriched individual loci, Nat Comms, 7, 11707., 10.1038/ncomms11707 · DOI
  69. Qin, 2017, Live cell imaging of low- and non-repetitive chromosome loci using CRISPR-Cas9, Nat Comms, 8, 14725., 10.1038/ncomms14725 · DOI
  70. Wang, 2016, An RNA-aptamer-based two-color CRISPR labeling system, Sci Rep, 6, 26857., 10.1038/srep26857 · DOI
  71. Cheng, 2016, Casilio: a versatile CRISPR-Cas9-Pumilio hybrid for gene regulation and genomic labeling, Cell Res, 26, 254, 10.1038/cr.2016.3 · DOI
  72. Chen, 2013, Engineering RNA-binding proteins for biology, FEBS J, 280, 3734, 10.1111/febs.12375 · DOI
  73. Nelles, 2016, Programmable RNA tracking in live cells with CRISPR/Cas9, Cell, 165, 488, 10.1016/j.cell.2016.02.054 · DOI
  74. O’connell, 2014, Programmable RNA recognition and cleavage by CRISPR/Cas9, Nature, 516, 263, 10.1038/nature13769 · DOI
  75. Cox, 2017, RNA editing with CRISPR-Cas13, Science, 358, 1019, 10.1126/science.aaq0180 · DOI · Paper page
  76. Abudayyeh, 2016, C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector, Science, 353, aaf5573, 10.1126/science.aaf5573 · DOI · Paper page
  77. Bikard, 2013, Programmable repression and activation of bacterial gene expression using an engineered CRISPR-Cas system, Nucleic Acids Res, 41, 7429, 10.1093/nar/gkt520 · DOI · Paper page
  78. Gilbert, 2013, CRISPR-mediated modular RNA-guided regulation of transcription in eukaryotes, Cell, 154, 442, 10.1016/j.cell.2013.06.044 · DOI · Paper page
  79. Kearns, 2013, Cas9 effector-mediated regulation of transcription and differentiation in human pluripotent stem cells, Development, 141, 219, 10.1242/dev.103341 · DOI
  80. Konermann, 2013, Optical control of mammalian endogenous transcription and epigenetic states, Nature, 500, 472, 10.1038/nature12466 · DOI · Paper page
  81. Cheng, 2013, Multiplexed activation of endogenous genes by CRISPR-on, an RNA-guided transcriptional activator system, Cell Res, 23, 1163, 10.1038/cr.2013.122 · DOI
  82. Maeder, 2013, CRISPR RNA-guided activation of endogenous human genes, Nat Methods, 10, 977, 10.1038/nmeth.2598 · DOI · Paper page
  83. Perez-Pinera, 2013, RNA-guided gene activation by CRISPR-Cas9-based transcription factors, Nat Methods, 10, 973, 10.1038/nmeth.2600 · DOI · Paper page
  84. Chavez, 2015, Highly efficient Cas9-mediated transcriptional programming, Nat Methods, 12, 326, 10.1038/nmeth.3312 · DOI · Paper page
  85. Hilton, 2015, Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers, Nat Biotechnol, 33, 510, 10.1038/nbt.3199 · DOI
  86. Choudhury, 2016, CRISPR-dCas9 mediated TET1 targeting for selective DNA demethylation at BRCA1 promoter, Oncotarget, 7, 46545, 10.18632/oncotarget.10234 · DOI
  87. Xu, 2016, A CRISPR-based approach for targeted DNA demethylation, Cell Discov, 2, 16009., 10.1038/celldisc.2016.9 · DOI
  88. Kearns, 2015, Functional annotation of native enhancers with a Cas9-histone demethylase fusion, Nat Methods, 12, 401, 10.1038/nmeth.3325 · DOI · Paper page
  89. McDonald, 2016, Reprogrammable CRISPR/Cas9-based system for inducing site-specific DNA methylation, Biol Open, 5, 866., 10.1242/bio.019067 · DOI
  90. Vojta, 2016, Repurposing the CRISPR-Cas9 system for targeted DNA methylation, Nucleic Acids Res, 44, 5615, 10.1093/nar/gkw159 · DOI
  91. Huang, 2017, DNA epigenome editing using CRISPR-Cas SunTag-directed DNMT3A, Genome Biol, 18, 176., 10.1186/s13059-017-1306-z · DOI
  92. Morita, 2016, Targeted DNA demethylation in vivo using dCas9-peptide repeat and scFv-TET1 catalytic domain fusions, Nat Biotechnol, 34, 1060, 10.1038/nbt.3658 · DOI
  93. Anton, 2017, Site-specific recruitment of epigenetic factors with a modular CRISPR/Cas system, Nucleus, 8, 279, 10.1080/19491034.2017.1292194 · DOI
  94. Braun, 2017, Rapid and reversible epigenome editing by endogenous chromatin regulators, Nat Commun, 8, 560., 10.1038/s41467-017-00644-y · DOI
  95. Keung, 2015, Chromatin regulation at the frontier of synthetic biology, Nat Rev Genet, 16, 159, 10.1038/nrg3900 · DOI
  96. Thakore, 2016, Editing the epigenome: technologies for programmable transcription and epigenetic modulation, Nat Methods, 13, 127, 10.1038/nmeth.3733 · DOI · Paper page
  97. Amabile, 2016, Inheritable silencing of endogenous genes by hit-and-run targeted epigenetic editing, Cell, 167, 219, 10.1016/j.cell.2016.09.006 · DOI · Paper page
  98. Collas, 2010, The current state of chromatin immunoprecipitation, Mol Biotechnol, 45, 87, 10.1007/s12033-009-9239-8 · DOI
  99. Fujita, 2013, Efficient isolation of specific genomic regions and identification of associated proteins by engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) using CRISPR, Biochem Biophys Res Commun, 439, 132, 10.1016/j.bbrc.2013.08.013 · DOI
  100. Roux, 2012, A promiscuous biotin ligase fusion protein identifies proximal and interacting proteins in mammalian cells, J Cell Biol, 196, 801., 10.1083/jcb.201112098 · DOI · Paper page
  101. Schmidtmann, 2016, Determination of local chromatin composition by CasID, Nucleus, 7, 476, 10.1080/19491034.2016.1239000 · DOI
  102. Liu, 2017, In situ capture of chromatin interactions by biotinylated dCas9, Cell, 170, 1028, 10.1016/j.cell.2017.08.003 · DOI
  103. Konermann, 2014, Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex, Nature, 517, 583, 10.1038/nature14136 · DOI · Paper page

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Metadata

Authors
Anton, T., Karg, E., & Bultmann, S.
Affiliations
Department of Biology II and Center for Integrated Protein Science Munich (CIPSM), LMU Munich, 82152 Martinsried, Germany
Venue
Biology Methods and Protocols
Published
2018-01-01
Volume
3
Issue
1
ISSN
2396-8923
Cited by
32
References
10
Language
en
Funders
Deutsche Forschungsgemeinschaft (SPP1623)

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Anton, T., Karg, E., & Bultmann, S. (2018). Applications of the CRISPR/Cas system beyond gene editing. Biology Methods and Protocols. https://doi.org/10.1093/biomethods/bpy002