Literature DB >> 34597515

Multiplexed Single-Molecule Experiments Reveal Nucleosome Invasion Dynamics of the Cas9 Genome Editor.

Kristina Makasheva1, Louise C Bryan1, Carolin Anders2, Sherin Panikulam2, Martin Jinek2, Beat Fierz1.   

Abstract

Single-molecule measurements provide detailed mechanistic insights into molecular processes, for example in genome regulation where DNA access is controlled by nucleosomes and the chromatin machinery. However, real-time single-molecule observations of nuclear factors acting on defined chromatin substrates are challenging to perform quantitatively and reproducibly. Here we present XSCAN (multiplexed single-molecule detection of chromatin association), a method to parallelize single-molecule experiments by simultaneous imaging of a nucleosome library, where each nucleosome type carries an identifiable DNA sequence within its nucleosomal DNA. Parallel experiments are subsequently spatially decoded, via the detection of specific binding of dye-labeled DNA probes. We use this method to reveal how the Cas9 nuclease overcomes the nucleosome barrier when invading chromatinized DNA as a function of PAM position.

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Year:  2021        PMID: 34597515      PMCID: PMC8517959          DOI: 10.1021/jacs.1c06195

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


Chromatin, which organizes eukaryotic DNA, is a dynamic structure,[1] and its dynamic modes are critical for genome regulation. Transient DNA unwrapping from the nucleosome core enables transcription factor binding,[2] nucleosomes are mobilized by remodeling factors,[3] RNA polymerase,[4] or repair enzymes,[5] and chromatin structure is constantly reshaped by interacting proteins.[6,7] The underlying molecular mechanisms involve interactions between nuclear factors and chromatin, modulated by DNA sequence or histone post-translational modifications (PTMs), over multiple spatial and temporal scales. Real-time single-molecule imaging, by not being limited by ensemble averaging, provides a unique window into such multiscale processes on a mechanistic level. The clustered regularly interspaced short palindromic repeats (CRISPR)-associated 9 (Cas9) nuclease is an important tool for genome editing.[8,9] Its specificity is programmed via a single guide RNA (sgRNA).[8] Complementary DNA motifs, flanked by a protospacer adjacent motif (PAM), are bound by Cas9, and a RNA-DNA hybrid R-loop is formed, followed by DNA cleavage.[10] This enables genome editing with single-nucleotide accuracy.[8,9] Conversely, catalytically inactive Cas9[11] (dCas9) can be employed to recruit enzymatic activities to specific genomic loci for epigenome editing.[12] It is thus important to understand how Cas9 interacts with chromatin. Single-molecule studies showed that Cas9 can undergo localized sliding in the search for PAM sites.[13,14] PAM recognition is followed by localized DNA unwinding and directional R-loop formation, resulting in a long-lived complex.[14−17] Enzymatic studies revealed that Cas9 (and the related Cas12a) nuclease activity is reduced by nucleosomes.[18−21] To investigate if this activity loss originates from impaired DNA access or from reduced residence time and inefficient catalysis, we aimed to systematically image chromatin invasion by Cas9 in real-time. We previously employed single-molecule total internal reflection fluorescence (sm-TIRF) microscopy to measure interaction kinetics between chemically defined oligo- or mononucleosomes (MN) and nuclear proteins.[22] Fluorescently labeled chromatin constructs are immobilized in a flow cell. Subsequently, chromatin binding factors, carrying a fluorescent dye of a different spectral range, are injected and binding interactions are detected by fluorescence colocalization. However, this technique is limited to a single chromatin type per experiment, and does not allow for direct comparison or competition between different chromatin constructs. This is a particular issue for the determination of binding kinetics, which are highly sensitive to concentration variations between measurements. Methods have been put forward to perform binding experiments in parallel, including spatially separating substrates,[23] employing multichannel microfluidic cells,[24] or combining sm-TIRF with in situ single-molecule DNA sequencing.[25] However, both the complexity of existing methods and their limitations in the number of binding substrates and applicable experimental conditions prompted us to develop a novel approach. Here we introduce XSCAN, a robust and expandable parallelized single-molecule method to simultaneously observe nuclear factors acting on multiple chromatin types in a single experiment (Figure ). We then apply XSCAN to systematically map the nucleosome impact on Cas9 binding kinetics.
Figure 1

General scheme of the XSCAN approach.

General scheme of the XSCAN approach. We envisaged using a DNA-barcoding strategy to parallelize single-molecule experiments on chromatin. Mono- or oligo-nucleosomes (containing different DNA sequences, histone variants, or PTM patterns) are assembled using DNA that contains sequence barcodes indicating the chromatin type.[26,27] Barcoded nucleosomes are randomly immobilized in a flow cell and used in single-molecule experiments, including, but not limited to, dynamic interaction studies (Figure A). For identification of the nucleosome type at each position, all proteins are removed. Subsequently, the remaining DNA is spatially decoded to reveal the nucleosome identity. We identified two critical requirements for this decoding approach. The method should (1) be compatible with single-molecule experiments, e.g. allow polyethylene glycol surface passivation,[28] and (2) should be fast and yield a high identification success rate. This is necessary to obtain reliable single-molecule statistics. After evaluating different approaches we settled on a decoding strategy based on detecting binding of fluorescent 10-mer oligonucleotides (“decoder” probes) to the chromatin-associated barcode sequences[29,30] (Figure B). A barcode design, based on several adjacent binding sites, enabled performing multiple “rounds” of decoding (Figure C). Thus, we could maximize the number of barcodes identified with a limited number of spectrally separated fluorescent dyes. Finally, from the combination of fluorescence detections, the barcode, and thus chromatin type, could be assigned (Figure D). To develop XSCAN, we had to establish key procedures. As decoding works best on naked DNA, we first tested full protein removal in the flow chamber, while retaining the immobilized DNA. Using nucleosomes containing tetramethylrhodamine (TMR)-labeled H2A (Figure S1), all histones were removed with a 2.5 M NaCl wash (Figure A). Second, we considered that the single-stranded DNA (ssDNA) barcodes could interfere with preceding single-molecule binding assays. We thus embedded the barcode sequences in double-stranded DNA (dsDNA), only to be deprotected directly before decoding. Deprotection is achieved by incorporating deoxyuridines (dU) into the barcode-complementary DNA strands, allowing their selective degradation by Uracil DNA Glycosylase (Udg) followed by Endonuclease VIII (Nei).[31,32] We monitored barcode liberation via fluorescence, revealing a 95% deprotection efficiency (Figure B). Third, we designed barcode/decoder sequences. We prepared three pairs of decoders, x1, x2, y1, y2, and z1, z2, where the number designates the decoding round, and the letter indicates the dye: Alexa Fluor 532 (x), Alexa Fluor 488 (y), and Alexa Fluor 647 (z). The decoder sequences were based on DNA-PAINT imager strands.[30] They were further modified to contain at least 2–3 equally spaced dTs for deprotection, and any sequence homology was minimized (<3bp) to ensure specificity (Figure C, D, Table S1). In parallel, we produced fluorescently labeled DNA templates for nucleosome assembly, derived from the 601 Widom nucleosome positioning sequence,[33] and bearing each one of the nine possible barcodes (designated by capital letters, see Figure S1, Tables S2, S3).
Figure 2

(A) Protein removal by high-salt wash: sm-TIRF images of nucleosome positions (left) and histone presence before (middle) and after wash (right). bt-NA: biotin-neutravidin. (B) Barcode deprotection: sm-TIRF images of DNA positions (left) and barcodes before (middle) and after deprotection (right). (C) Fluorescent time traces showing binding events for indicated DNA barcodes/decoding rounds. (D) Decoder sequences and cumulative histograms of dissociation and binding times fitted with monoexponential functions. Fit results: Table S1. (E) Left: Scheme of a decoding experiment, AuNP: gold nanoparticles. Middle: sm-TIRF image showing DNA locations before decoding (AuNP: red circles). Right: color-coded identified barcodes. All scale bars: 5 μm.

(A) Protein removal by high-salt wash: sm-TIRF images of nucleosome positions (left) and histone presence before (middle) and after wash (right). bt-NA: biotin-neutravidin. (B) Barcode deprotection: sm-TIRF images of DNA positions (left) and barcodes before (middle) and after deprotection (right). (C) Fluorescent time traces showing binding events for indicated DNA barcodes/decoding rounds. (D) Decoder sequences and cumulative histograms of dissociation and binding times fitted with monoexponential functions. Fit results: Table S1. (E) Left: Scheme of a decoding experiment, AuNP: gold nanoparticles. Middle: sm-TIRF image showing DNA locations before decoding (AuNP: red circles). Right: color-coded identified barcodes. All scale bars: 5 μm. With this set of decoders and barcoded templates, we assessed decoder specificity and binding kinetics. Initially, we used three DNA templates with barcodes X1X2, Y1Y2, and Z1Z2 (Figure C), which were randomly immobilized, and their locations were determined in the far-red channel, after which all dyes were bleached and barcodes were liberated. Gold nanoparticles allowed image alignment across the whole experiments. A first round of 3-color colocalization imaging of a mixture of 10 nM of each x1, y1, and z1 decoders, followed by a second round of decoding using x2, y2, and z2 decoders, revealed specific barcode recognition, decoder residence times of 1.6–4.6 s, and binding rate constants (kon) of (0.6–2.4) × 106 M–1 s–1 (Figure D, Table S1). We then proceeded to decode a full set of 9 barcoded DNA templates (Figure E), and the immobilized DNA templates were identified with a success rate of 65% (Figure E). False positive detections, i.e. one barcode bound by several decoders in the same round (below 0.5%), or lack of decoder binding in any round, resulted in the exclusion of the position from analysis. We were usually able to assign ∼1000 immobilized molecules to 1 of 9 DNA types in a single field-of-view. Together, these findings show that XSCAN can be used to multiplex single-molecule experiments. Having a functional methodology at hand, we proceeded to investigate the chromatin invasion dynamics of Cas9 using XSCAN. We reconstituted a barcoded set of nucleosomes containing a target sequence including a PAM, placed at increasingly internal positions within the nucleosome. Positions were designated by the superhelix location (SHL)[35] of the PAM, between 7.5 and 5.0 (Figure A, Tables S2, 3). The final set, which further included naked DNA with a target sequence as well as both naked DNA and nucleosomes without a target, was stochastically immobilized in the flow chamber, and positions were determined. For all binding experiments we used catalytically inactive dCas9 protein, labeled with the dye JF-549[36] via a peptide tag[37] and containing the appropriate sgRNA (Figure S2, Table S4). In a typical experiment, we imaged at a 0.2–10 Hz frame rate and directly monitored the injection of dCas9 at a concentration of 8–16 nM, chosen such that individual, nonoverlapping binding events could be detected as fluorescent spots in the green-orange channel (Figure B, C). After ∼2500 s, all remaining dyes were bleached, the channel was washed, barcodes were enzymatically deprotected, and two rounds of decoding were performed, to identify the DNA/nucleosomes types at each position (Figure C).
Figure 3

(A) Nucleosome structure (PDB: 1KX5)[34] with PAM positions. Arrows indicate target sequence orientation. (B) Scheme of XSCAN assay to measure dCas9 binding kinetics. (C) sm-TIRF images showing nucleosomes positions (left), dCas9 binding (middle), and identified nucleosomes positions (right, color-coded; DNA: naked DNA, MN*/DNA*: nucleosome/DNA without target). Scale bars: 5 μm.

(A) Nucleosome structure (PDB: 1KX5)[34] with PAM positions. Arrows indicate target sequence orientation. (B) Scheme of XSCAN assay to measure dCas9 binding kinetics. (C) sm-TIRF images showing nucleosomes positions (left), dCas9 binding (middle), and identified nucleosomes positions (right, color-coded; DNA: naked DNA, MN*/DNA*: nucleosome/DNA without target). Scale bars: 5 μm. In a first set of measurements, we determined the time required for dCas9, containing an sgRNA fully complementary to the 20 bp target sequence (sgRNA1, Table S4), to invade the nucleosome structure at different SHL (Figure A). Injected dCas9 explored DNA and nucleosomes via transient (1–10 s) nonspecific binding events (Figure S3). As soon as dCas9 found its target site, it formed a long-lived complex that did not dissociate within the time frame of the experiment (Figure S4). In the competitive XSCAN experiment, dCas9 first bound to naked DNA (Figure B, C, Table S5), following exponential kinetics with kon = (6.89 ± 1.04) × 105 M–1 s–1. Next, outer nucleosomal positions (SHL 7.5 and 7.0) were bound, whereas dCas9 invasion at more internal positions (SHL 6.5–5.0) occurred with a 5-fold reduction in kon, compared to naked DNA. This indicates that nucleosome invasion is coupled to transient DNA unwrapping events at the nucleosome periphery.[38] Moreover, dCas9 showed sensitivity for the rotational orientation of the PAM site, as binding to SHL 6.5 and 5.5 (where PAM is facing toward the histone core) was slower (Figure C). Finally, for a fraction of nucleosomes, in particular for internal and inward-facing PAM positions, no binding was observed (Figure S5), suggesting that the complete kinetic process is not captured in these cases on the achievable experimental time scale. Together, the reduction in first-passage DNA binding in nucleosomes is a likely reason for the impairment of Cas9 nuclease activity in nucleosomes[18−21] (Figure S6). Additional effects, such as inhibition of full R-loop formation, may however further contribute.
Figure 4

(A) Fluorescence time traces of dCas9 binding to indicated nucleosomes/DNA, fitted by a step algorithm (red). (B) Cumulative histograms of dCas binding times (tb), fitted by monoexponential function. For results, see (C), Figure S5 and Table S5. (C) Association rates for dCas9/sgRNA1 binding. (D) Fluorescence time traces of dCas9/sgRNA2 to indicated nucleosomes/DNA, fitted by a step algorithm (red). (E) Cumulative histograms of dCas/sgRNA2 dissociation times (td), fitted by biexponential function. For all results, see (F), Figure S6 and Table S6. (F) Specific dissociation time constants τres,2 for dCas9/sgRNA2 binding. Error bars: SD, n = 3–5, two-tailed Student’s t test *: p = 0.01–0.05, **: p = 0.001–0.01, n.s.: not significant.

(A) Fluorescence time traces of dCas9 binding to indicated nucleosomes/DNA, fitted by a step algorithm (red). (B) Cumulative histograms of dCas binding times (tb), fitted by monoexponential function. For results, see (C), Figure S5 and Table S5. (C) Association rates for dCas9/sgRNA1 binding. (D) Fluorescence time traces of dCas9/sgRNA2 to indicated nucleosomes/DNA, fitted by a step algorithm (red). (E) Cumulative histograms of dCas/sgRNA2 dissociation times (td), fitted by biexponential function. For all results, see (F), Figure S6 and Table S6. (F) Specific dissociation time constants τres,2 for dCas9/sgRNA2 binding. Error bars: SD, n = 3–5, two-tailed Student’s t test *: p = 0.01–0.05, **: p = 0.001–0.01, n.s.: not significant. Our data show that the residence time of dCas9, when bound to DNA and forming a full 20 bp RNA-DNA hybrid, is on the time scale of hours, even within a nucleosome. However, mismatches between sgRNA and the DNA target sequences alter the Cas9 DNA binding process[39] and can result in a strong increase in the dissociation rate on naked DNA.[15] Moreover, the nucleosome structure has been observed to suppress off-target DNA cleavage.[40] We thus decided to employ XSCAN to profile the nucleosome binding kinetics of dCas9 containing an sgRNA with 12 PAM-distal mismatches (sgRNA2, Table S4). Imaging at 1 Hz, we observed a subpopulation of short binding events that lasted 1–4 s (τres,1) and which were not significantly different across DNA and nucleosome types (Figures D, E, S7). As they also occurred in dCas9 lacking an sgRNA (Figure S3), they likely reflect nonspecific DNA binding. A second population of events, which we attributed to specific binding of dCas9/sgRNA2 to the target sequence, lasted tens to hundreds of seconds and were encountered at a higher frequency at peripheral positions (Figure E, F). For naked DNA, we observed τres,2 = 121 ± 21 s, whereas residence times were reduced by up to 3-fold at nucleosome internal sites. Interestingly, we again observed a pattern of inward facing PAM yielding shorter residence times (Figure E). Finally, kon also progressively decreased for increasingly internal positions, similar to experiments with sgRNA1 (Figure S7). These results reveal that nucleosomes alter the free energy profile of dCas9 chromatin access, as binding is impaired and dissociation is accelerated at internal sites. Moreover, access to PAM sites facing toward the histone core carries a free energy penalty of around kT, demonstrating that rotational orientation of the DNA plays an additional role. In conclusion, we have established XSCAN as a method to multiplex single-molecule chromatin experiments. In its current implementation, XSCAN allows us to simultaneously perform single-molecule experiments using up to nine different chromatin constructs simultaneously and in direct competition, in a single microfluidic flow cell. The method is specific, versatile, and expandable to 27 or 81 templates by adding a third or fourth decoding round. Moreover, the procedure is rapid (∼20 min/round) and can be automated using microfluidics. We thus believe that this represents an effective approach for the exploration of the dynamic chromatin landscape and beyond. Here, we used XSCAN to observe the invasion process of dCas9 into nucleosomal DNA. We conclude that nucleosomes hinder the initial PAM-dependent target recognition by dCas9 through a combination of several effects (see also Supporting Information). First, target binding is coupled to local DNA unwrapping, in agreement with observations for other nucleosome binding factors.[2,38] The PAM position on the nucleosome surface has an additional effect, indicating that dCas9 initially engages the nucleosome in a wrapped state.[41] Finally, nucleosomes shorten dCas9 off-target binding, potentially via dynamic competition with histone proteins within the nucleosomes,[42] consistent with prior observations that nucleosomes repress off-target DNA cleavage in vitro.[40] Thus, chromatin might increase the specificity of Cas9 genome editing in vivo by providing a kinetic barrier to off-target binding and cleavage. Our results shed light onto the mechanism of nucleosome inhibition of Cas9 nuclease activity which is critical to the success of genome targeting or epigenome editing applications.
  42 in total

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Review 3.  Determinants and dynamics of genome accessibility.

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4.  Biophysics of Chromatin Dynamics.

Authors:  Beat Fierz; Michael G Poirier
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5.  Nucleosomes Selectively Inhibit Cas9 Off-target Activity at a Site Located at the Nucleosome Edge.

Authors:  John M Hinz; Marian F Laughery; John J Wyrick
Journal:  J Biol Chem       Date:  2016-10-18       Impact factor: 5.157

Review 6.  Structural transition of the nucleosome during chromatin remodeling and transcription.

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Journal:  Curr Opin Struct Biol       Date:  2019-08-29       Impact factor: 6.809

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8.  Accelerated chromatin biochemistry using DNA-barcoded nucleosome libraries.

Authors:  Uyen T T Nguyen; Lenka Bittova; Manuel M Müller; Beat Fierz; Yael David; Brian Houck-Loomis; Vanessa Feng; Geoffrey P Dann; Tom W Muir
Journal:  Nat Methods       Date:  2014-07-06       Impact factor: 28.547

9.  Real-time observation of DNA recognition and rejection by the RNA-guided endonuclease Cas9.

Authors:  Digvijay Singh; Samuel H Sternberg; Jingyi Fei; Jennifer A Doudna; Taekjip Ha
Journal:  Nat Commun       Date:  2016-09-14       Impact factor: 14.919

10.  Single-molecule FRET reveals multiscale chromatin dynamics modulated by HP1α.

Authors:  Sinan Kilic; Suren Felekyan; Olga Doroshenko; Iuliia Boichenko; Mykola Dimura; Hayk Vardanyan; Louise C Bryan; Gaurav Arya; Claus A M Seidel; Beat Fierz
Journal:  Nat Commun       Date:  2018-01-16       Impact factor: 14.919

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