Abstract
Eukaryotic transcription is epigenetically regulated by chromatin structure and post-translational modifications (PTMs). For example, lysine acetylation in histone H4 is correlated with activation of RNA polymerase I-, II- and III-driven transcription from chromatin templates, which requires prior chromatin remodeling. However, quantitative understanding of the contribution of particular PTM states to the sequential steps of eukaryotic transcription has been hampered partially because reconstitution of a chromatin template with designed PTMs is difficult. In this study, we reconstituted a di-nucleosome with site-specifically acetylated or unmodified histone H4, which contained two copies of the Xenopus somatic 5S rRNA gene with addition of a unique sequence detectable by hybridization-assisted fluorescence correlation spectroscopy. Using a Xenopus oocyte nuclear extract, we analyzed the time course of accumulation of nascent 5S rRNA-derived transcripts generated on chromatin templates in vitro. Our mathematically described kinetic model and fitting analysis revealed that tetra-acetylation of histone H4 at K5/K8/K12/K16 increases the rate of transcriptionally competent chromatin formation ∼3-fold in comparison with the absence of acetylation. We provide a kinetic model for quantitative evaluation of the contribution of epigenetic modifications to chromatin transcription.
INTRODUCTION
Eukaryotic genes are transcribed by three classes of multisubunit DNA-dependent RNA polymerases (RNAPs) (1). Ribosomal RNA (rRNA) genes, protein-coding genes and short non-coding genes, including those for 5S rRNA and transfer RNA (tRNA), are transcribed by RNAP I, II and III, respectively (2–4). Because eukaryotic genomic DNA interacts with positively charged histone proteins and is compacted into chromatin, gene transcription is regulated not only by processes involving a naked DNA template—such as the recruitment of general transcription factors and RNAPs to the promoter, initiation and elongation—but also by processes involving a chromatin template, such as chromatin accessibility for the transcription machinery and chromatin remodeling (5,6). The structural unit of chromatin, the nucleosome, is formed by wrapping DNA (145–147 bp) around the histone octamer, which consists of two copies of each of the core histones (H2A, H2B, H3 and H4) (7,8). Each core histone has a lysine (K)-rich N-terminal tail that protrudes through nucleosomal DNA, and these lysine residues are subjected to post-translational modifications (PTMs) such as acetylation, methylation, and ubiquitination (9). Lysine acetylation (Kac) in the histone H4 tail facilitates chromatin transcription by RNAPs I, II and III in comparison with unmodified histone H4 (10–16); this may occur by enhancing the remodeling or repositioning (or both) of the nucleosome positioned near the transcription start site (17,18). Additionally, binding of an epigenetic reader protein, such as a bromodomain-containing protein, to chromatin may be facilitated by acetylation and may increase the rate of chromatin transcription (19,20).
The N-terminal tail of histone H4 has four major acetylation sites (K5, K8, K12 and K16), which are highly conserved from yeast to human. These lysines can be acetylated by histone acetyltransferases, and the number of acetylated residues correlates with RNA transcription activity (15,16,21). Among several H4 acetylation states (22–25), tetra-acetylation at K5/K8/K12/K16 is particularly important, because this hyperacetylated state is found in euchromatin regions where the nearby genes are transcriptionally most active (26). H4 acetylation at K5/K8/K12/K16 correlates with the expression of both the RNAP II- and III-transcribed genes (15,16). However, the contribution of each modification state of each histone to the sequential steps of chromatin transcription is yet to be quantified because of the difficulty in precise reconstitution of a chromatin template with the epigenetic modification(s) of interest (27). Using genetic code expansion and cell-free protein synthesis, we synthesized histone H4 containing designed site-specific acetylation(s) and reconstituted a H4-K5/K8/K12/K16-tetra-acetylated nucleosome (28,29). Despite the suggested importance of tetra-acetylation at K5/K8/K12/K16, this modification does not affect the crystal structure of the nucleosome core particle (29). Therefore, the effect of histone H4 acetylation on the dynamics of the nucleosome core needs to be analyzed.
Because the 5S rRNA gene can be chromatinized with a single nucleosome, it has been used as a model gene in an in vitro chromatin transcription assay (27,30). When whole histones including the H4 tail are acetylated in a di-nucleosome chromatin template containing a tandem of two 5S rRNA gene cassettes (i.e. X5S 197-2 (27)), 5S rRNA transcription is activated in vitro (27). However, it is difficult to monitor transcription in real time because in vitro transcripts are usually detected by electrophoresis using radioisotope-labeled UTP.
In this study, we developed a di-nucleosome tandem Xenopus 5S rRNA gene cassette with a unique sequence derived from c-fos. Hybridization of end-initiated nascent transcripts containing two copies of this sequence with the corresponding antisense fluorescent probe enabled ultrasensitive real-time monitoring of transcript accumulation in a Xenopus oocyte nuclear extract by fluorescence correlation spectroscopy (FCS). We reconstituted the di-nucleosome chromatin template with non-acetylated or tetra-acetylated histone H4 and monitored accumulation of 5S transcripts. Our mathematically described kinetic model allowed us to determine the rates of chromatin transcription from non-acetylated and H4-tetra-acetylated chromatin templates. The methodology developed in this study can be used for quantitative analysis of the contribution of epigenetic modification(s) to chromatin transcription.
MATERIALS AND METHODS
Reconstitution of H4-acetylated histone octamers
Core histones were prepared and histone octamers were refolded essentially as described previously (31). Briefly, the full-length human histones H2A type 1-B/E, H2B type 1-J, and H3.1 were produced in Escherichia coli BL21 (DE3) and purified by Ni-Sepharose affinity chromatography. K5/K8/K12/K16-acetylated histone H4 (hereafter referred as tetra-acetylated H4) was produced in an E. coli cell-free protein synthesis system with the expanded genetic code (28) as described (29). For refolding of histone octamers, equimolar amounts of histones (i.e. H2A, H2B, H3, and unmodified or tetra-acetylated H4) were dissolved in 20 mM Tris-HCl buffer (pH 7.5) containing 6 M guanidine–HCl and 10 mM DTT, and dialyzed against 10 mM Tris–HCl buffer (pH 7.5) containing 2 M NaCl, 1 mM EDTA, and 5 mM 2-mercaptoethanol. The histone octamers were purified by size-exclusion chromatography on a Superdex 200 column (GE Healthcare).
Preparation of di-nucleosome DNA
The 424-bp di-nucleosome DNA fragment X5S 197-2 composed of two tandem cassettes of the 197-bp Xenopus borealis somatic 5S rRNA gene with an upstream sequence (Figure 1A, top) was prepared as previously described (32). To produce the 479-bp di-nucleosome DNA fragment (X5S 217F-2; Figure 1A, bottom), two synthetic DNAs (250 bp and 229 bp) were purchased from Eurofins Genomics. The 250-bp DNA was the first 5S rRNA gene cassette (–108 to +142), in which a PvuII site (5′-CAGCT G-3′) was inserted at the 5′ end and the c-fos antisense probe sequence (5′-GCGGA GACAG ACCAA CTAGA-3′) was inserted at the +115 position. The 229-bp DNA was the second 5S rRNA gene cassette (+143 to +371), in which the c-fos antisense probe sequence was inserted at the +332 position and the PvuII site was inserted at the 3′ end. The two DNAs were ligated using a Gibson Assembly Master Mix (New England Biolabs) and subcloned into the pWMD01 vector (33). The di-nucleosome DNA with the modified 5S rRNA gene cassettes (X5S 217F-2) was excised with PvuII and purified by ion-exchange chromatography on a TSK-gel DEAE-5PW column (Tosoh Corporation). In the naked DNA transcription assay, the maxi 5S-2 template consisting of two tandem maxi 5S genes (27,34) was compared with X5S 197-2 and X5S 217F-2.
Figure 1.

Reconstitution of H4-tetra-acetylated di-nucleosomes for chromatin transcription. (A) Scheme of di-nucleosome rRNA gene cassettes. Internal control regions (box A; IE, intermediate element; box C) of the 5S rRNA gene are indicated. The X5S 197-2 construct (27) (top) was modified by introducing a c-fos antisense probe sequence (bottom) for fluorescence correlation spectroscopy measurements. (B) Western blotting of unmodified and site-specifically tetra-acetylated histone H4 proteins. Kac, acetylated lysine. (C, D) Atomic force microscopy images of 5S rRNA gene di-nucleosomes reconstituted with unmodified histone H4 (C) or K5/K8/K12/K16-tetra-acetylated H4 (D). (E) Di-nucleosome digestion with micrococcal nuclease (MNase). Lanes 1, 3, 5, 7 and 9, di-nucleosomes with unmodified H4; lanes 2, 4, 6, 8 and 10, di-nucleosomes with K5/K8/K12/K16-tetra-acetylated H4. Lanes 1 and 2, di-nucleosomes were incubated in MNase reaction buffer in the absence of MNase. Units of MNase (Takara, cat. #2910A) per microgram DNA: lanes 3 and 4, 2.5; lanes 5 and 6, 5.0; lanes 7 and 8, 10, lanes 9 and 10, 20. (F) Agarose gel electrophoreses of di-nucleosomes constructed with c-fos-derived annealing sequence DNA. Lane M, DNA ladder marker (NEB, cat. N3232S); lane 1, di-nucleosome reconstituted with unmodified H4; lane 2, di-nucleosome reconstituted with K5/K8/K12/K16-tetra-acetylated H4.
Reconstitution of di-nucleosome chromatin templates
Di-nucleosomes with or without histone H4 acetylation were reconstituted by salt dialysis (32). Briefly, purified histone octamers were mixed with the X5S 197-2 or X5S 217F-2 fragment DNA in 10 mM Tris–HCl buffer (pH 7.5) containing 2 M NaCl, 1 mM EDTA, and 1 mM 2-mercaptoethanol (histone octamer:DNA = 0.9:1.0 w/w), and dialyzed at 4°C for 16 h. Then, stepwise dialysis was performed against buffers with decreasing NaCl concentrations. The reconstituted di-nucleosomes were fractionated by centrifugation in 10–25% sucrose gradients at 36 000 rpm at 4°C for 16 h in a Beckman SW41 rotor. Forty fractions were collected using a Piston Gradient Fractionator (BioComp) and electrophoresed in 0.5× TBE buffer at 8.5 V/cm in a 0.7% Seakem GTG agarose gel and visualized by ethidium bromide staining. Di-nucleosomes from the 20th to 22nd fractions were pooled, concentrated using an Amicon Ultra 0.5 ml 10K centrifugal filter, and dialyzed against 10 mM HEPES buffer (pH 7.5) containing 100 μM EDTA; their concentration was determined from the optical density at a wavelength of 260 nm.
Atomic force microscopy
Di-nucleosomes (90 ng/μl) were fixed with 0.1% glutaraldehyde for 16 h at 4°C. Immediately before measurement, they were diluted to 0.45 ng/μl with 10 mM HEPES buffer (pH 7.5), placed onto APTES-treated mica (35) and left for 10 min. Imaging was performed using a high-speed AFM system (Nano Live Vision, RIBM, Tsukuba, Japan) with a carbon nanofiber cantilever (BL-AC10FS, Olympus) at a spring constant of 0.1 N/m in solution phase at 27°C. Images of a 500 × 375-nm area were obtained at 2 s/frame at a resolution of 192 × 144 pixels. DNA length between two nucleosome core particles was traced manually in the images and quantified using ImageJ software (version 1.45s).
Nuclease digestion assays
DNA of di-nucleosome (100 ng) containing either tetra-acetylated or unmodified histone H4 was digested for 5 min at 22°C with micrococcal nuclease (MNase) (0.125 to 2.0 units; Takara, cat. #2910A) in 5.5 mM Tris–HCl buffer (pH 7.6) containing 500 μM CaCl2 and 50 μg/ml BSA. Digestion was terminated by the addition of a 20 mM EDTA solution, containing 0.5% (w/v) SDS and 2 μg of proteinase K (Roche, cat. #3115887). DNA fragments were extracted with phenol/chloroform and analyzed by electrophoresis in a non-denaturing 10% polyacrylamide gel. Restriction endonuclease digestion assay was performed essentially as described (36), in the presence of 0.9 μl of a Xenopus oocyte nuclear extract (Supplementary Figure S2). RsaI was serially diluted with a 1× CutSmart buffer (NEB, cat. B7204S).
Transcription in vitro and transcript detection by fluorescence correlation spectroscopy
Transcription was performed essentially as described (37). For calibration, end-initiated RNA (475 nucleotides, nt) was transcribed by T7 RNA polymerase from the X5S 217F-2 template containing the T7 promoter (5′-TAATA CGACT CACTA TAGG-3′). In the FCS assay, each reaction mixture (10 μl) contained purified di-nucleosome or naked DNA template (1 μg), 0.9 μl of a Xenopus oocyte nuclear extract, 9.5 mM HEPES (pH 7.4), 100 mM NaCl, 48 mM KCl, 6.7 mM MgCl2, 3.6 mM DTT, 90 μM EDTA, 4.5% (v/v) glycerol, 0.9% (w/v) polyvinylpyrrolidone, 0.06% (w/v) BSA, 500 μM NTPs, 1 μM trichostatin A, 5 units of RNase inhibitor (Toyobo, cat. #SIN-201), and 20 nM c-fos antisense probe. The c-fos antisense probe was synthesized with a 2′ O-Me RNA backbone, which was labeled with Cy3 at its 5′ end. FCS was conducted on a confocal laser-scanning fluorescence microscope (TCS SP8, Leica) equipped with a single molecule detection unit (PicoQuant) at 23°C. The reaction mixture (5 μl) was covered with a stainless-steel cylinder (inner diameter, 6.2 mm; length, 5 mm), one end of which was covered with a cover glass. Cy3 fluorescence was excited with a green laser (532 nm, Leica), and emitted photons were captured through an objective lens (63×, HC PL APO CS2 1.20 N.A. water, Leica) with a 570DF30 emission filter (Omega). Each 30-s fluorescence fluctuation measurement was performed with an avalanche photodiode (PicoQuant). Total recording time was about 20 min. Autocorrelation was calculated with the SymPhoTime software (PicoQuant). In each measurement, 131 data points (i.e., fluorescence autocorrelation function; FAF) from 0.01 to 813 ms were obtained; a logarithmic time scale was used. The obtained FAF between 0.01 and 813 ms was approximated with SymPhoTime using the autocorrelation function (Equation 1) with one component:
![]() |
(1) |
where N is the number of fluorescent dyes in the confocal volume, τ1 is the diffusion time, and κ is a structure parameter (10–15 in this experiment).
RESULTS
Atomic force microscopy (AFM) imaging and nuclease digestion of the H4-tetra-acetylated di-nucleosome
We reconstituted a di-nucleosome in which two copies of Xenopus somatic 5S rRNA gene were connected in tandem (Figure 1A and Supplementary Figure S1) (32) and recombinant human histone H4 was either unmodified or tetra-acetylated at K5/K8/K12/K16 (28,29). Site-specific acetylation of histone H4 at K5/K8/K12/K16 was confirmed by Western blotting using specific monoclonal antibodies (Figure 1B). Histone octamers containing K5/K8/K12/K16-tetra-acetylated H4 (hereafter referred as 4Kac) or unmodified H4 together with bacterially expressed core histones H2A, H2B, and H3 (38) were assembled and purified. Using unmodified or 4Kac histone octamers, 5S rRNA gene di-nucleosomes were reconstituted with either the X5S 197-2 template DNA (Figure 1A, top; Supplementary Figure S1A) (27,32) or the newly designed X5S 217F-2 template DNA (Figure 1A, bottom; Supplementary Figure S1B); X5S 217F-2 had an insertion of a 20-bp human c-fos-derived annealing sequence (which is absent in the Xenopus genome) at the +115 position downstream of the 5S rRNA gene for specific detection of 5S rRNA nascent transcripts.
Using AFM imaging, we found that the unmodified (Figure 1C) and 4Kac (Figure 1D) X5S 197-2 di-nucleosomes had similar dumbbell-shaped structures. DNA length between the two nucleosome cores did not differ significantly between unmodified di-nucleosomes (41 ± 12 nm; N = 50) and 4Kac di-nucleosomes (44 ± 10 nm; N = 50). The volumes of the unmodified nucleosome cores (2100 ± 150 nm3; N = 10) and 4Kac nucleosome cores (2000 ± 470 nm3; N = 10) also did not differ significantly.
We next compared the biochemical accessibilities of micrococcal nuclease (MNase) to the unmodified and 4Kac X5S 197-2 di-nucleosomes (Figure 1E). Toward both di-nucleosomes (424 bp), MNase yielded approximately 145-bp DNA fragments that matched the length of mono-nucleosomal DNA (145–147 bp). The sizes and amounts of this partially digested DNA did not differ between unmodified and 4Kac di-nucleosomes (Figure 1E), suggesting that they had the same chromatin accessibility. Unmodified and 4Kac di-nucleosomes reconstituted with X5S 217F-2 template DNA (Figure 1F) were used for real-time chromatin transcription assay.
Chromatin transcription and its real-time detection by FCS
To establish a specific system for detection of nascent transcripts by FCS, we first examined naked DNA transcription from the X5S 197-2 and X5S 217F-2 templates in a Xenopus oocyte nuclear extract containing RNAP III (Supplementary Figure S3A). We detected 120-nt RNA transcribed from X5S 197-2 and 140-nt RNA transcribed from X5S 217F-2 (Supplementary Figure S3B); thus, transcription from X5S 217F-2 was initiated at the 5S promoter and driven by RNAP III, as described for X5S 197-2 (27). In addition, end-initiated transcripts were also detected from both templates, as reported for X5S 197-2 (27).
To quantify the nascent transcripts, we added an antisense probe (20-nt-long Cy3-labeled 2′-O-methyl; 2OMe) (39) to a solution containing 5S rRNA transcripts and the Xenopus oocyte nuclear extract in our FCS system; we expected the probe to bind complementarily to the c-fos-derived annealing sequence in the transcript (Figure 2A). We assessed hybridization in real time at high resolution as an increase in the diffusion time of the fluorescent antisense probe detected by FCS (40–42) (Figure 2B). However, we could not detect any changes in the diffusion time with the 140-nt RNA, which was transcribed by T7 RNA polymerase, at concentrations ranging from 0 to 10 nM, presumably because the dissociation constant between the 140-nt RNA and the antisense probe is far above 10 nM and/or the difference in sizes between the antisense probe and the hybridized complex was too low to be detected. Therefore, we prepared the end-initiated RNA, which had two copies of 5S rRNA containing the c-fos-derived annealing sequence, also by transcription with T7 RNA polymerase. We expected this transcript to increase the sensitivity in FCS owing to its higher affinity to the antisense probe and larger difference in sizes between the antisense probe alone and the probe-hybridized RNA.
Figure 2.
Real-time detection of chromatin transcription by fluorescence correlation spectroscopy. (A) Scheme of a Cy3-labeled antisense 2′-O-methyl RNA (2OMe-RNA) probe and its hybridization with RNA. (B) Scheme of the setup of fluorescence correlation spectroscopy (FCS) for monitoring RNA synthesis. Changes in diffusion of the antisense probe upon hybridization with transcripts in the confocal volume were detected by an avalanche photodiode (APD) at the single-molecule level. (C) Fluorescence autocorrelation functions [FAF, G(τ)] in reaction solutions. FAF of the antisense probe with RNA showed longer correlation time than that without RNA or that of a control probe with RNA. Circles, data points; solid lines, fitting curves. (Inset) Averaged diffusion time of antisense probes. Mean ± standard deviation (N = 3). (D) Calibration of the averaged diffusion time of the antisense probe molecules as a function of their concentration. Mean ± standard deviation (N = 3). R2, coefficient of determination. In (C) and (D), end-initiated RNA was transcribed by T7 RNA polymerase from two tandem copies of the 5S rRNA gene (Figure 2A) and added to a Xenopus oocyte nuclear extract without template DNA. (E) Real-time detection of nascent 5S rRNA transcripts. Template DNAs used are shown in: gray, naked 5S rRNA gene without c-fos sequence; black, naked 5S rRNA gene containing the c-fos-derived annealing sequence; red, H4-tetra-acetylated di-nucleosome 5S rRNA gene containing c-fos sequence; and blue, non-acetylated di-nucleosome 5S rRNA gene containing c-fos sequence. Mean ± standard error (N ≥ 3).
When the end-initiated transcript containing two c-fos-derived annealing sequences was added to the reaction mixture, the diffusion time of the fluorescent antisense probe, as determined from the FAF, was extended by sequence-dependent hybridization, whereas the end-initiated transcript lacking the c-fos sequence did not extend the diffusion time (Figure 2C). To calibrate the transcription level, we added different concentrations of the end-initiated transcript containing two c-fos-derived annealing sequences to a reaction mixture that contained all components except the DNA template, incubated the mixture for 10 min, and conducted FCS measurements. The relationship between RNA concentration (0–10 nM) and averaged ratio of the diffusion time of the antisense probe to the diffusion time at 0 nM could be approximated by a Michaelis–Menten-type curve with an excellent fit (coefficient of determination, R2 = 0.88; Figure 2D), confirming that the concentration of the end-initiated nascent transcripts can be quantified by measuring probe diffusion time.
By using a custom-made lid as a cover glass to prevent evaporation, we obtained FAF using as little as 5 μl of the reaction mixtures, thus enabling us to measure the concentrations of nascent transcripts in vitro in real time (Figure 2E). We performed transcription assays in the Xenopus oocyte nuclear extract with the naked DNA template containing or lacking the c-fos sequences, or the X5S 217F-2 di-nucleosome template with tetra-acetylated or non-acetylated H4. As expected, no RNA synthesis was observed for X5S 197-2 naked DNA, which has no probe-annealing sequence, whereas an increase in RNA concentration in a time-dependent manner was observed for X5S 217F-2 naked DNA (Figure 2E). Transcription from the H4-tetra-acetylated di-nucleosome was greater than that from the unmodified di-nucleosome, but both were lower than that from the naked template (Figure 2E). Hence, site-specific acetylation of histone H4 activates transcription from chromatin template in vitro.
Scheme of chromatin transcription and modeling
The reconstituted RNAP III-driven chromatin transcription system used is shown in Figure 3. For analyzing the essential dynamics of chromatin transcription, we postulated four steps on the basis of published data, each representing a chromatin state or reaction: (I) chromatin accessibility, (II) formation of transcriptionally competent chromatin, (III) priming before transcription and (IV) 5S rRNA transcription.
Figure 3.

Schematic diagram of 5S rRNA chromatin transcription and its real-time detection.
Chromatin accessibility (I) for trans-acting factors can be evaluated by using enzymes that act on DNA, such as micrococcal nuclease (MNase), DNase I, or transposase (43). Chromatin remodeling factors or histone chaperones, or both, may access the chromatin template at different rates, depending on the presence or absence of histone acetylation. Formation of transcriptionally competent chromatin (II) covers a series of possible chromatin-mediated reactions to allow transcription by RNAP III. This step includes reorganization of chromatin around the transcription start site mediated by multi-protein interactions. Priming before transcription (III) includes sequential assembly of the transcription preinitiation complex of general transcription factors TFIIIA/TFIIIB/TFIIIC and RNAP III at the promoter (44–47). Finally, 5S rRNA is transcribed by RNAP III (IV). During RNAP III-dependent transcription elongation, the histone core is moving from a position on the DNA template ahead of RNAP III to a position behind it (48–50). In our model, naked DNA transcription includes steps (III) and (IV) and chromatin transcription includes steps (I)–(IV).
Kinetic modeling and analyses of chromatin transcription
Using the above chromatin transcription model and FCS data, we constructed a simple kinetic model to quantify: (i) the chromatin transcription kinetics and (ii) the contribution of a certain epigenetic modification state (tetra-acetylation of histone H4 in this study) to chromatin transcription. The definitions of the variables and parameters in our kinetic model explained below are summarized in Supplementary Table S1.
At the chromatin accessibility step (I), the concentration of accessible chromatin is expressed by
, where
is the type of chromatin template containing the c-fos-derived annealing sequence (‘
’ = ‘4Kac’ for H4-tetra-acetylated chromatin or ‘unmod’ for unmodified chromatin); C ( = 300 nM, fixed) is the concentration of the template (‘4Kac’ and ‘unmod’); and
is accessibility of chromatin ‘
’. At the formation of transcriptionally competent chromatin (II) and priming before transcription (III) steps, given
and
are the concentrations of non-primed transcriptionally competent chromatin ‘
’ and primed DNA ‘
’, respectively, at time t, the concentration of chromatin ‘
’ to become transcriptionally competent chromatin is
(Figure 4A). The formation of transcriptionally competent chromatin is assumed to be a rate-limiting step and is described as
![]() |
where
is the rate of transcriptionally competent chromatin formation of chromatin ‘
’.
Figure 4.
Kinetic model of chromatin transcription. (A) Explanation of modeling of chromatin transcription. Variables are defined in Supplementary Table S1. (B, C) Explanation of the obtained equations. (B) Transcription from chromatin (equation [5]). (C) Transcription from naked DNA (equation [6]). (D, E) Numerical simulation of chromatin transcription with different
(D) and different
(E).
nM min−1 and
min−1 are fixed.
is the concentration of transcribed RNA, where
is ‘4Kac’ or ‘naked’. For ‘4Kac’, equation [5] is used, where
is changed with
fixed (D) or
is changed with
and
min−1 fixed (E). For ‘naked’, equation [6] is used.
Priming before transcription (III) is another rate-limiting step; priming is delayed by sequential assembly of the transcription preinitiation complex at the promoter (16,44,46). Thus, priming before naked DNA transcription is described as
![]() |
where kp is the priming rate of chromatin ‘
’. Finally, (IV) 5S rRNA transcription reaction is described as follows by assuming the Michaelis–Menten-type enzymatic reaction
![]() |
where
are the concentrations of the transcribed RNA produced from chromatin ‘
’ at time t; kcat, Km, and
are the turnover number, the Michaelis–Menten constant, and the concentration of RNAP III, respectively.
From the chemical reaction model, we have the following ordinary differential equations:
![]() |
(2) |
![]() |
(3) |
![]() |
(4) |
where
because
for eukaryotic RNA polymerase III is 7 to 83 μM (51) and
in this study was 300 nM. By solving equations [2]–[4] under the initial condition
, the kinetics of 5S rRNA transcription from the H4-tetra-acetylated chromatin and the unmodified chromatin is obtained as
![]() |
(5) |
where
is ‘4Kac’ or ‘unmod’;
is the naked DNA transcription rate; the term
means pure naked DNA transcription without the need for (II) formation of transcriptionally competent chromatin or (III) priming before transcription; and the term
indicates the pre-transcription time delay caused by steps (II) and (III) (Figure 4B).
By taking the limit of
,
, and
in equation [5], the kinetics of 5S rRNA transcription from the naked DNA containing the c-fos-derived annealing sequence are
![]() |
(6) |
where
are the concentrations of the transcribed RNA produced from ‘naked’ DNA at time t (Figure 4C).
Using equations [5] and [6], we simulated the dynamics of chromatin transcription involving steps (I) to (IV) with different
(Figure 4D) and different
(Figure 4E). We confirmed that the rate of transcriptionally competent chromatin formation
contributes to the time delay, not to the final slope of the kinetics (Figure 4D). On the other hand, the accessibility
contributes to the final slope of the kinetics, not to the time delay (Figure 4E).
Subsequently, we estimated the kinetic parameters of chromatin transcription by fitting the experimental data to the kinetic model using the computing software Mathematica 11.3 (Wolfram Research, Champaign, IL, USA). First, by fitting the transcription data of the naked DNA to equation [6], we determined the transcription rate γ (ca. 0.052 nM min−1) and the priming rate kp (ca. 0.22 min−1; Figure 5A). We used these values to estimate the kinetics of transcription from all types of DNA templates. Assuming
, fitting the 5S rRNA transcription data of the H4-tetra-acetylated and unmodified chromatin to equation [5] (Figure 5B) resulted in the rates of transcriptionally competent chromatin formation k4Kac ≈ 0.15 min−1 and kunmod ≈ 0.052 min−1. Because all the coefficients of determination were large (≥0.91), we considered the fitting to have been performed properly (Figure 5A and B). This suggests that the kinetic model constructed here can express the transcriptional dynamics. In addition, to examine the adequacy of the assumption of
, we fitted the data for
(Supplementary Figure S4). Because the kunmod and R2 values did not change much even when
was changed, the simplest assumption of
was adopted on the basis of the results of MNase digestion assays (Figure 1E). Thus, the mathematically described kinetic analysis shows that H4 tetra-acetylation increases the rate of transcriptionally competent chromatin formation approximately 3-fold in comparison with the absence of modifications (k4Kac/kunmod = 2.9 ± 0.4; Figure 5C).
Figure 5.
Results of fitting to the kinetic model. (A) Determination of γ and kp. First, the γ value was determined by fitting the linear region (12–17 min) of the experimental data for the naked DNA (+ c-fos) to the kinetic model
, where
is the intercept; this equation is the long-term limit of equation [6]. The fitted values were: γ = 0.052 ± 0.003 nM min−1 (‘fitting value’ ± ‘fitting error’); z1 = –0.23 ± 0.05 nM; coefficient of determination R2 = 0.99. Then, using the obtained γ, the kp value was determined by fitting the whole region (0–17 min) of the data to the kinetic model
, where
is the intercept introduced for resolving experimental error at the initial stage (equation [6]). The fitted values were: kp = 0.22 ± 0.01 min−1; z2 = –0.010 ± 0.01 nM; R2 = 0.99). (B) Fitting results for each condition.
is the concentration of transcribed RNA, where
is ‘4Kac’, ‘unmod’, or ‘naked’ (equations [5] and [6]). γ = 0.052 nM min−1 and kp = 0.22 min−1, which were obtained in (A), were used for fitting. (C) Schematic illustration of acceleration of chromatin transcription by histone H4 acetylation. k4Kac ≈ 0.15 ± 0.009 min−1 and kunmod ≈ 0.052 ± 0.006 min−1.
DISCUSSION
Although it has been known since the 1960s that acetylation of N-terminal tails of core histones facilitates chromatin transcription (10,52), the contribution of each histone modification state has not been quantified. In this study, we have developed a methodology for such quantification by a fluorescence-based transcription tracking method in a reconstituted system and kinetic modeling.
To understand the role of a particular epigenetic modification, a protein with this modification has to be produced, for example by enzymatic modification (53), native chemical ligation (54), or genetic code expansion (55,56). To produce H4 histone with four sites specifically acetylated, we combined genetic code expansion and cell-free protein synthesis, but other methods may also be used. By comparing RNAP III-driven transcription dynamics in unmodified and H4-tetra-acetylated di-nucleosomes containing 5S rRNA gene cassettes, we established a platform to evaluate the rates of chromatin transcription involving steps (I) to (IV) (Figure 3).
Around step (II), chromatin remodeling factors such as RSC (remodel the structure of chromatin), or histone chaperones such as FACT (facilitates chromatin transcription), or both, allow access of trans-acting factors (e.g. transcriptional machinery) to DNA through relocation of the nucleosome at the transcription start site, which is observed in both RNAP II and III-transcribed genes (57–59). Although we also could not detect significant effects of histone acetylation on chromatin remodeling (Supplementary Figure S2) (20,27,60,61), a certain histone acetylation state might facilitate chromatin reorganization. Furthermore, histone acetylation induces multi-bromodomain-mediated liquid-liquid phase separation (62).
We previously reported that the acetylation of core histones enhances di-nucleosome chromatin transcription by RNAP III without changing nucleosome mobility (27). However, we could not quantitatively analyze the effect of subunit- and site-specific acetylation on chromatin transcription because we prepared histone octamers from HeLa cell chromatin. In the present study, we assessed the site-specific acetylation role of H4 at K5/K8/K12/K16 in chromatin transcription through the genetic code expansion system. Beyond the past study, we intended to quantify: (i) the kinetics of respective step composing chromatin transcription and (ii) the contribution of a defined epigenetic modification state to chromatin transcription. Our integrative approach employing genetic code expansion, FCS, and kinetic modeling indicated that the H4 tetra-acetylation increases the rate of transcriptionally competent chromatin formation in 2.9-fold. It would be important to compare the chromatin transcription rates among other H4 acetylation states, such as the newly synthesized K5ac/K12ac species of H4 in the future. The rate may be increased by a combination of H4 acetylation with acetylation of another histone, such as K27-acetylated H3 (15). Because the methodology developed here is versatile, the roles of other histone PTMs (such as methylation and ubiquitination) can also be quantified. The model may also be used for RNAP II-driven chromatin transcription, chromatin replication, and other aspects of DNA metabolism.
Real-time measurement of transcription in crude extracts is challenging because the absolute amount of the reconstituted chromatin template is usually small, which makes conventional measurements in a cuvette difficult. In this study, we overcame this problem by using a fluorescent probe with high affinity and specificity, which was detected by FCS with high sensitivity, and a transcript containing two probe-annealing sequences; this method enables sub-nanomolar real-time measurements of nascent RNA. Measuring molecular diffusion by FCS reduces the likelihood of false positives, which is a problem when solely detecting a change in fluorescence. Furthermore, FCS, based on single-molecule counting, enables detection of RNA newly synthesized from a very small amount of template. We found that minimization of the reaction volume (to <5 μl) and extension of the measurement time (e.g. >20 min) are technical bottlenecks caused by evaporation of the reaction mixture during the measurement, and that fitting data in the present time range (i.e. <20 min) is not easy. Considering the femtoliter order of the FCS measurement region, much smaller volumes and longer measurements can be achieved by integration with microfluidic device technologies. By using the developed transcription tracking method in a reconstituted system, the effects of chemical factors (e.g. other PTMs, ions, pH) and physical factors (e.g. temperature, viscosity, congestion) on the dynamics of chromatin transcription can be investigated. Considering the highly quantitative nature of FCS and the requirement for just a few-microliter reaction volume, the present methodology may also be applicable to a living cell (42).
Our kinetic model quantitatively describes the chromatin transcription steps, although it does not explicitly describe the reorganization of chromatin around the transcription start site, such as chromatin remodeling and nucleosome positioning. We determined the rates of transcriptionally competent chromatin formation k4Kac and kunmod and confirmed the validity of data fitting, as judged from their biochemically reasonable values. The finding that H4 tetra-acetylation increased the rate of transcriptionally competent chromatin formation ∼3-fold is important for characterization of the effect of this modification: despite little structural difference from unmodified chromatin, H4-tetra-acetylated chromatin showed considerably more active dynamics of transcription. The effect of the difference observed in this study will be clearer when our methodology is applied to living cells or other PTMs.
The constructed kinetic model (equation (5)) provides insights into transcription from a chromatin template. When focusing on a very short-term process (
),
, where
(min−2);
(min−1) is an apparent initial rate of transcription from the chromatin template. If very short-term transcription kinetics are quantitatively measured,
or
can be used for classifying transcription rates from the chromatin template in various epigenetic modification states. When focusing on a long-term process (
),
; thus, by measuring the slope of chromatin transcription, chromatin accessibility can be determined more precisely, although in this study it was assumed to be 1 on the basis of the results of MNase digestion assays.
In summary, we established an in vitro reconstitution system to quantify the contribution of a certain epigenetic modification state to chromatin transcription dynamics. As a model case, we compared the kinetics of chromatin transcription between unmodified and H4-tetra-acetylated chromatin templates. Chromatin templates with certain PTMs, such as site-specific acetylation, can be used in crude extracts in which the product molecules of interest can be counted in real time. Therefore, our methodology will be applicable to a wide variety of chromatin-mediated reactions for quantitative understanding of the importance of epigenetic modifications.
Supplementary Material
ACKNOWLEDGEMENTS
We thank Hiroki R. Ueda (the University of Tokyo) for encouragement, Toshiaki Higo (RIKEN) for sample preparation, and Yuki Saito (RIKEN) for clerical assistance.
Author contributions: M.W., K.O., M.T. and T.U. designed the experiments, interpreted the results, and wrote the manuscript. M.W., K.U. and T.U. performed the biochemical analysis. K.O. and T.F. performed the biophysical analysis. M.T. performed the mathematical analysis. All authors commented on the manuscript.
Contributor Information
Masatoshi Wakamori, Laboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Kanagawa 230-0045, Japan.
Kohki Okabe, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Saitama 332-0012, Japan.
Kiyoe Ura, PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Saitama 332-0012, Japan; Graduate School of Science, Chiba University, Chiba, Chiba 263-8522, Japan.
Takashi Funatsu, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
Masahiro Takinoue, PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Saitama 332-0012, Japan; Department of Computer Science, Tokyo Institute of Technology, Yokohama, Kanagawa 226-8502, Japan.
Takashi Umehara, Laboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Kanagawa 230-0045, Japan; PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Saitama 332-0012, Japan.
SUPPLEMENTARY DATA
Supplementary Data are available at NAR Online.
FUNDING
Japan Science and Technology Agency (JST) [PRESTO program; to K.O., K.U., M.T., T.U.]; Japan Society for the Promotion of Science (JSPS) [20H05785 to K.O., 15H01345 to K.U., 17H01813, 18K19834, 20H00619 to M.T., 16H05089, 20H03388, 20K21406 to T.U.]; Takeda Science Foundation (to K.U.); RIKEN [‘Epigenome Manipulation Project’ of the All-RIKEN Projects; to T.U.]. Funding for open access charge: Japan Society for the Promotion of Science [20H03388].
Conflict of interest statement. None declared.
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