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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: Biomol NMR Assign. 2020 Sep 15;15(1):25–28. doi: 10.1007/s12104-020-09977-0

1H, 13C, 15 N backbone resonance assignment of the recognition lobe subdomain 3 (Rec3) from Streptococcus pyogenes CRISPR-Cas9

Erin Skeens 1, Kyle W East 1, George P Lisi 1
PMCID: PMC8635283  NIHMSID: NIHMS1747538  PMID: 32935194

Abstract

Rec3 is a subdomain of the recognition (Rec) lobe within CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-associated protein Cas9 that is involved in nucleic acid binding and is critical to HNH endonuclease activation. Here, we report the backbone resonance assignments of an engineered construct of the Rec3 subdomain from Streptococcus pyogenes Cas9. We also analyze backbone chemical shift data to predict secondary structure and an overall fold that is consistent with that of Rec3 from the full-length S. pyogenes Cas9 protein.

Keywords: CRISPR, Cas9, Recognition lobe, Rec3, NMR assignments

Biological context

CRISPR-associated protein 9 (Cas9) is a component of the bacterial immune system now widely used as an innovative genome-editing tool by harnessing its endonuclease function for applications in bioengineering and medicine (Jinek et al. 2012; Charpentier and Doudna 2013; Charpentier and Marraffini 2014; Wang et al. 2016; Hsu et al. 2014). The Cas9 machine is a large, multidomain enzyme that associates with a guide RNA, consisting of either a CRISPR RNA (crRNA) and trans-activating CRISPR RNA (tracrRNA) pair (Deltcheva et al. 2011; Jinek et al. 2012) or a synthetic single-guide RNA (sgRNA), to target and site-specifically cleave DNA (Jiang and Doudna 2017). The Cas9 protein itself is a 160 kDa polypeptide chain comprised of a Photo-spacer Adjacent Motif (PAM) interacting domain (PI) for recognition of the target DNA sequence, an alpha-helical recognition (Rec) lobe that mediates nucleic acid binding, and two endonuclease domains, HNH and RuvC, that cleave the double-stranded DNA in a concerted fashion (Jiang and Doudna 2017). The proposed allosteric network that transmits signals throughout Cas9 as the recognition, binding, and subsequent cleavage events occur is not well understood, though molecular simulations have suggested a continuous allosteric pathway from the PI domain through the Rec lobe to the HNH domain (Oakes et al. 2016; Palermo et al. 2017; East et al. 2020). Despite being poised as a precision genome editing technology for human diseases (Maeder and Gersbach 2016; Strong and Musunuru 2017; Xiong et al. 2016; Martinez-Lage et al. 2018; Tian et al. 2019), a greater understanding of the Cas9 structure is necessary to mitigate its known off-target effects (Zhang et al. 2015) and improve control over the Cas9 machinery. Solution NMR is widely employed to study dynamic mechanisms of proteins (Lisi and Loria 2016a, b), and is now being applied to Cas9 with the purpose of detecting structural fluctuations that underlie its function.

Full-length Cas9, however, is a difficult system to study by NMR due to its size and low thermostability that precludes the collection of data at elevated temperatures to improve spectral quality (Arbogast et al. 2015). Thus, an alternative approach to studying this system is required, and we recently engineered a construct of the HNH domain (15.4 kDa) to characterize site-specific dynamics that span the nuclease with NMR and molecular simulations (Belato et al. 2019; East et al. 2020). Utilizing this “per domain” technique to map the allosteric network in Cas9 by NMR, we have engineered a construct of Rec3 (25.7 kDa, Fig. 1), a subdomain of the Rec lobe. Rec3, which forms a pocket with HNH where the RNA:DNA hybrid resides, undergoes a significant conformational rearrangement upon RNA binding (Jiang et al. 2015). Previous computational studies suggested that Rec3 was critical for HNH activation, based on high motional correlation between these domains that indicated an inter-dependence of their conformational dynamics (Chen et al. 2017; Palermo et al. 2016, 2018). Here, we report the NMR resonance assignments for the amide backbone (HN, NH, Cα, Cβ, CO) of Rec3 as a foundational step to study the structure and dynamics of this subdomain, and to probe the contribution of Rec3 to the larger allosteric mechanism that regulates Cas9 function. Importantly, we also demonstrate good agreement of the secondary structure and overall fold between our construct and Rec3 within full-length Cas9 (Fig. 2).

Fig. 1.

Fig. 1

1H-15 N TROSY HSQC NMR spectrum of Rec3 from S. pyogenes Cas9 collected at 25 °C and 600 MHz. The inset shows assigned residues within the crowded center of the spectrum

Fig. 2.

Fig. 2

a Differences in Cα, of Cβ, and CO chemical shifts from random coil as a metric for Rec3 secondary structure. Positive values indicate alpha helical secondary structure and negative values denote beta sheet secondary structure. b CS23D2.0 model of the Rec3 structure based on NMR chemical shifts (cyan) overlaid with Rec3 from full-length Cas9 (black, PDB: 4OO8)

Methods and experiments

Sample preparation

The Rec3 sequence from S. pyogenes Cas9 comprising residues 497–713 was cloned into the pET28a vector with an N-terminal His6-tag and a TEV protease cleavage site. The plasmid was then transformed into BL21 (DE3) cells (New England Biolabs). Isotopically labeled samples were grown in deuterated M9 minimal media containing CaCl2, MgSO4, and MEM vitamins, and supplemented with 15 N ammonium chloride and 13C glucose (1.0 g/liter and 2.0 g/liter, respectively; Cambridge Isotope Laboratories). Glucose supplements had the chemical formula HO13CH2(13CHOH)413CHO, retaining protons on the sugar. Cells were grown at 37 °C to an OD600 of 0.8 – 1.0, and then induced with 1 mM IPTG. Following an overnight incubation at 20 °C, the cells were harvested by centrifugation and stored at − 80 °C. For purification of Rec3, the cells were resuspended in a buffer of 20 mM sodium phosphate, 300 mM NaCl, and 5 mM imidazole at pH 8.0, containing a mini EDTA-free protease inhibitor cocktail tablet (Sigma Aldrich), and then lysed by sonication. Cell debris was removed from the lysate by centrifugation. Rec3 was purified from the supernatant by Ni–NTA affinity chromatography and eluted with the same buffer containing 250 mM imidazole. The N-terminal His-tag was cleaved by incubation of Rec3 with TEV protease for 4 h while being dialyzed against a buffer of 20 mM sodium phosphate and 300 mM NaCl at pH 8.0. The His-tag and TEV protease were subsequently removed by Ni–NTA chromatography. Purified Rec3 was dialyzed into a buffer containing 20 mM sodium phosphate, 50 mM KCl, 1 mM EDTA, and 6% 2H2O at pH 7.5, and concentrated to 650 mM for NMR experiments.

NMR experiments

NMR experiments for backbone resonance assignment were collected on a Bruker Avance NEO 600 MHz spectrometer at 25 °C equipped with pulsed field gradients and a triple resonance cryoprobe. The backbone assignments were completed using a TROSY HSQC and the following TROSY triple resonance experiments (Pervushin et al. 1997): HNCA, HN(CO)CA, HN(CA)CB, HN(COCA)CB, HN(CA)CO, and HNCO (Salzmann et al. 1998). All NMR spectra were processed with NMRPipe (Delaglio et al. 1995) and analyzed in Sparky (Lee et al. 2015). Three-dimensional correlations and resonance assignments were determined in CARA (Keller 2005). Backbone chemical shift data were used in comparison to random coil chemical shifts to estimate the Rec3 secondary structure and a model of the Rec3 construct was developed with the CS23D2.0 server (Wishart et al 2008). CS23D2.0 employs a suite of chemical shift analysis programs and known structures with homologous sequences to generate a 3D model. 4UN4B from PPT-DB (PDB: 4UN4), a full length Cas9 X-ray structure, was utilized in the modeling of the Rec3 construct. For comparison, Fig. 2b over-lays the CS23D2.0 generated structure with an alternative Rec3 structure (PDB: 4OO8) from the full-length Cas9 protein to assess the agreement of the CS23D2.0 model. Many X-ray crystal structures of Cas9 lack electron density in some regions of Rec3, thus we used PDB entry 4OO8 to generate the most complete alignment with visible structural elements.

Assignment and data deposition

The assigned 1H-15 N TROSY HSQC NMR spectrum for Rec3 is shown in Fig. 1. 92% of the backbone HN resonances have been assigned, as well as 92% of Cα, 91% of Cβ, and 90% of CO. Missing assignments are relatively dispersed in the sequence, with one cluster (residues 38–42) found in a flexible loop region in the protein core. Figure 2 estimates the secondary structure of the construct and shows good agreement with Rec3 within the full-length Cas9 protein. A list of the 1H, 13C, and 15 N chemical shifts has been deposited into the BioMagResBank under accession number 50389.

Acknowledgements

This work was supported by funds from the COBRE Center of Computational Biology of Human Disease (P20GM109035).

Footnotes

Compliance with ethical standards

Conflict of interest The authors declare no conflict of interest.

References

  1. Arbogast LW, Brinson RG, Marino JP (2015) Mapping monoclonal antibody structure by 2D 13C NMR at natural abundance. Anal Chem 87:3556–3561 [DOI] [PubMed] [Google Scholar]
  2. Belato HB, East KW, Lisi GP (2019) 1H, 13C, 15N backbone and side chain resonance assignment of the HNH nuclease from Streptococcus pyogenes CRISPR-Cas9. Biomol NMR Assignments 13(2):367–370 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Charpentier E, Doudna JA (2013) Biotechnology: Rewriting a genome. Nature 495:50–51 [DOI] [PubMed] [Google Scholar]
  4. Charpentier E, Marraffini LA (2014) Harnessing CRISPR-Cas9 immunity for genetic engineering. Curr Opin Microbiol 19:114–119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Chen JS, Dagdas YS, Kleinstiver BP, Welch MM, Sousa AA, Harrington LB, Sternberg SH, Joung JK, Yildiz A, Doudna JA (2017) Enhanced proofreading governs CRISPR-Cas9 targeting accuracy. Nature 550(7676):407–410 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Delaglio F, Grzesiek S, Vuister GW, Zhu G, Pfeifer J, Bax A (1995) NMRPipe: a multidimensional spectral processing system based on UNIX pipes. J Biomol NMR 6:277–293 [DOI] [PubMed] [Google Scholar]
  7. Deltcheva E, Chylinski K, Sharma CM, Gonzales K, Chao Y, Pirzada ZA, Eckert MR, Vogel J, Charpentier E (2011) CRISPR RNA maturation by trans-encoded small RNA and host factor RNase III. Nature 471:602–607 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. East KW, Newton JC, Morzan UN, Narkhede YB, Acharya A, Skeens E, Jogl G, Batista VS, Palermo G, Lisi GP (2020) Allosteric Motions of the CRISPR–Cas9 HNH Nuclease Probed by NMR and Molecular Dynamics. J Am Chem Soc 142(3):1348–1358 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Jiang F, Zhou K, Ma L, Gressel S, Doudna JA (2015) A Cas9–guide RNA complex preorganized for target DNA recognition. Science 348(6242):1477–1481 [DOI] [PubMed] [Google Scholar]
  10. Jiang F, Doudna JA (2017) CRISPR-Cas9 Structures and Mechanisms. Annu Rev Biophys 46:505–529 [DOI] [PubMed] [Google Scholar]
  11. Hsu PD, Lander ES, Zhang F (2014) Development and applications of CRISPR-Cas9 for genome engineering. Cell 157(6):1262–1278 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Jinek M, Chylinski K, Fonfara I, Hauer M, Doudna JA, Charpentier E (2012) A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337:816–821 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Keller R (2005). Optimizing the process of nuclear magnetic resonance spectrum analysis and computer aided resonance assignment. (ETH; ). [Google Scholar]
  14. Lee W, Tonelli M, Markley JL (2015) NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy. Bioinformatics 31:1325–1327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Lisi GP, Loria JP (2016a) Solution NMR Spectroscopy for the Study of Enzyme Allostery. Chem Rev 116:6323–6369 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Lisi GP, Loria JP (2016b) Using NMR spectroscopy to elucidate the role of molecular motions in enzyme function. Prog Nucl Magn Reson Spectrosc 92–93:1–17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Maeder ML, Gersbach CA (2016) Genome-editing technologies for gene and cell therapy. MolTher 24:430–446 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Martinez-Lage M, Puig-Serra P, Menendez P, Torres-Ruiz R, Rodriguez-Perales S (2018) CRISPR/Cas9 for Cancer Therapy: Hopes and Challenges. Biomedicines 6(4):105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Oakes BL, Nadler DC, Flamholz A, Fellmann C, Staahl BT, Doudna JA, Savage DF (2016) Profiling of engineering hotspots identifies an allosteric CRISPR-Cas9 switch. Nat Biotechnol 34:646–651 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Palermo G, Miao Y, Walker RC, Jinek M, McCammon JA (2016) Striking Plasticity of CRISPR-Cas9 and Key Role of Non-target DNA, as Revealed by Molecular Simulations. ACS central science 2(10):756–763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Palermo G, Ricci CG, Fernando A, Basak R, Jinek M, Rivalta I, Batista VS, McCammon JA (2017) Protospacer Adjacent MotifInduced Allostery Activates CRISPR-Cas9. J Am Chem Soc 139:16028–16031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Palermo G, Chen JS, Ricci CG, Rivalta I, Jinek M, Batista VS, Doudna JA, McCammon JA (2018) Key role of the REC lobe during CRISPR-Cas9 activation by ‘sensing’, ‘regulating’, and ‘locking’ the catalytic HNH domain. Q Rev Biophys 51:e91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Pervushin K, Riek R, Wider G, Wuthrich K (1997) Attenuated T2 relaxation by mutual cancellation of dipole-dipole coupling and chemical shift anisotropy indicates an avenue to NMR structures of very large biological macromolecules in solution. Proc Natl Acad Sci U S A 94:12366–12371 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Salzmann M, Pervushin K, Wider G, Senn H, Wuthrich K (1998) TROSY in triple-resonance experiments: new perspectives for sequential NMR assignment of large proteins. Proc Natl Acad Sci U S A 95:13585–13590 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Strong A, Musunuru K (2017) Genome editing in cardiovascular diseases. Nat Rev Cardiol 14:11–20 [DOI] [PubMed] [Google Scholar]
  26. Tian X, Gu T, Patel S, Bode AM, Lee MH, Dong Z (2019) CRISPR/Cas9—an evolving biological tool kit for cancer biology and oncology. NPJ Precis Oncol 3:8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Wang H, La Russa M, Qi LS (2016) CRISPR/Cas9 in Genome Editing and Beyond. Annu Rev Biochem 85:227–264 [DOI] [PubMed] [Google Scholar]
  28. Wishart DS, Arndt D, Berjanskii M, Tang P, Zhou J, Lin G (2008) CS23D a web server for rapid protein structure generation using NMR chemical shifts and sequence data. Nucleic Acids Res. 36:496–502 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Xiong X, Chen M, Lim WA, Zhao D, Qi LS (2016) CRISPR/Cas9 for human genome engineering and disease research. Annu Rev Genomics Hum Genet 17:131–154 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Zhang XH, Tee LY, Wang XG, Huang QS, Yang SH (2015) Off-target Effects in CRISPR/Cas9-mediated Genome Engineering. Molecular therapy Nucleic acids 4(11):e264. [DOI] [PMC free article] [PubMed] [Google Scholar]

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