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. Author manuscript; available in PMC: 2019 Mar 24.
Published in final edited form as: Nature. 2018 Sep 24;562(7725):76–81. doi: 10.1038/s41586-018-0549-5
The interaction landscape between transcription factors and the nucleosome
3Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles väg 2, SE 171 77 Stockholm, Sweden
3Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles väg 2, SE 171 77 Stockholm, Sweden
3Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles väg 2, SE 171 77 Stockholm, Sweden
3Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles väg 2, SE 171 77 Stockholm, Sweden
3Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles väg 2, SE 171 77 Stockholm, Sweden
1Department of Biochemistry, University of Cambridge, United Kingdom
3Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles väg 2, SE 171 77 Stockholm, Sweden
5Genome-Scale Biology Program, Post Office Box 63, FI-00014 University of Helsinki, Helsinki, Finland
1Department of Biochemistry, University of Cambridge, United Kingdom
2Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Fassberg 11, D-37077 Göttingen, Germany
3Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Scheeles väg 2, SE 171 77 Stockholm, Sweden
4Department of Biosciences and Nutrition, Karolinska Institutet, Hälsovägen 7, SE 141 83 Stockholm, Sweden
5Genome-Scale Biology Program, Post Office Box 63, FI-00014 University of Helsinki, Helsinki, Finland
*
To whom correspondence should be addressed. ajt208@cam.ac.uk
The publisher's version of this article is available at Nature
Abstract
Nucleosomes cover most of the genome and are thought to be displaced by transcription factors (TFs) in regions that direct gene expression. However, the modes of interaction between TFs and nucleosomal DNA remain largely unknown. Here, we have systematically explored interactions between the nucleosome and 220 TFs representing diverse structural families. Consistently with earlier observations, we find that the majority of the studied TFs have less access to nucleosomal DNA than to free DNA. The motifs recovered from TFs bound to nucleosomal and free DNA are generally similar; however, steric hindrance and scaffolding by the nucleosome result in specific positioning and orientation of the motifs. Many TFs preferentially bind close to the end of nucleosomal DNA, or to periodic positions at its solvent-exposed side. TFs often also bind to nucleosomal DNA in a particular orientation. Some TFs specifically interact with DNA located at the dyad position where only one DNA gyre is wound, whereas other TFs prefer sites spanning two DNA gyres and bind specifically to each of them. Our work reveals striking differences in TF binding to free and nucleosomal DNA, and uncovers a rich interaction landscape between TFs and the nucleosome.
The packaging of eukaryotic genomes is accomplished by histones, proteins that form an octameric complex that binds to the DNA backbone, forming nucleosomes1–4. In a canonical nucleosome, a 147 bp segment of DNA is wrapped around the histone octamer in a left-handed, superhelical arrangement for a total of 1.65 turns, with the DNA helix entering and exiting the nucleosome from the same side of the histone octamer. The two DNA gyres are parallel to each other except at the position located between the entering and the exiting DNA, where a dyad region of ~15 bp contains only a single DNA gyre.
The nucleosome presents a barrier for the binding of other proteins such as RNA polymerases to DNA5–8. Similarly, most TFs are thought to be unable to bind to nucleosomal DNA9,10, except for a specific class of TFs called the pioneer factors11. Despite the importance of the nucleosome in both chromatin organization and transcriptional control12–17, the effect of nucleosomes on TF binding has not been systematically characterized.
Results
Nucleosome CAP-SELEX
To determine the effect of nucleosomes on TF-DNA binding, we developed Nucleosome Consecutive Affinity-Purification SELEX (NCAP-SELEX; Fig. 1a; Extended Data Fig. 1). The method is based on analysis of enrichment of specific sequences from complex 147 bp (lig147) or 200 bp (lig200) DNA libraries, containing either 101 or 154 bp randomized regions, respectively. The sequences are reconstituted into a nucleosome, and the complexes incubated with TFs, which are subsequently purified and the bound DNA recovered by PCR. After multiple selection rounds, dissociated nucleosomal DNA is separated from intact nucleosomes. Analysis of the NCAP-SELEX enriched sequences allows inference of TF binding specificities and positions on nucleosomal DNA, together with their effect on the stability of the nucleosome.
We performed SELEX both using nucleosomal (NCAP-SELEX) and free DNA (HT-SELEX18,19) using 413 human TF extended DNA binding domains (eDBDs) and 46 full-length (FL) constructs (Extended Data Fig. 1h; Supplementary Table 1). The selected TFs covered 29% of the high-confidence TFs from Vaquerizas et al.20. The enriched sequences were analyzed computationally using motif matching, de novo motif discovery, and mutual information (MI) pipelines (see Methods). Because nucleosomes can affect TF motifs21, we primarily used a MI measure, which can capture any type of enriched sequence pattern (see Fig. 1b). Standard MI analysis also captures nucleosome sequence preference. To separate TF signals from the nucleosome signal, we limited the MI measure to the most highly enriched subsequences (enriched sequence based MI; E-MI; Fig. 1b). In parallel, we also analyzed all data using motif-based approaches to explain and validate the findings based on E-MI (Supplementary Data 1, 2). Among the tested TFs, 220 eDBDs and 13 FLs were successful (Fig. 1c; see Methods for details).
Nucleosome inhibits TF binding
To determine the general effect of nucleosomes on TF-DNA binding, we analyzed E-MI signals on lig200, which can accommodate only one nucleosome and contains both nucleosomal and free DNA (Fig. 2a; Extended Data Fig. 2, 3). On lig200 almost all TFs had a lower E-MI signal at the center (Extended Data Fig. 2a), where the nucleosome occupancy is highest, indicating that DNA-binding of most TFs is inhibited or spatially restricted by the presence of a nucleosome. However, the effect of the nucleosome on TF binding varied strongly between the TFs (Extended Data Fig. 2b, c). For example, SREBF2, RFX3, and JUND2 only show E-MI signal at the extreme ends of the ligand, suggesting that in the presence of free DNA, they are largely excluded from nucleosomal DNA. In contrast, other TFs such as VSX1, ARX, EN1, and SOXs are more capable of binding nucleosomal DNA. The biochemical ability of TFs to bind to nucleosomal DNA affected their binding also in vivo in K562 cells (Extended Data Fig. 2d). These results indicate that the nucleosome often inhibits TF-DNA binding, but that the extent of the effect varies greatly between TFs.
TFs can bind both nucleosomal DNA gyres
Some chromatin modifying enzymes22 and synthetic molecules23 can bind both DNA gyres wrapped around the nucleosome. To explore whether TFs can also exhibit such a binding mode, we analyzed the entire 2D E-MI signals. We found that binding of the T-box family TF brachyury (T) to nucleosomal DNA resulted in two prominent E-MI signals (Fig. 2b). One was located at the E-MI diagonal, i.e. observed between adjacent subsequences, whereas the other resulted from sequences located ~ 80 bp from each other. The first signal represents binding of T to nucleosomal DNA similarly to free DNA. The second is associated with an ~ 80 bp motif, indicating dimeric binding spanning both DNA gyres (Fig. 2c). This type of binding was also observed for lig147 but not detected on free DNA (Extended Data Fig. 2e). The signal for the long motif is stronger on the ligands that remained bound to the nucleosome (Extended Data Fig. 2f), indicating that the gyre-spanning mode of T stabilizes nucleosomes. Similar binding was also observed for another T-box factor, TBX2 (Extended Data Fig. 2g), but not for other TFs. Despite the clear biochemical ability of T and TBX2 to bind to nucleosomal DNA using the cross-gyre motif, we did not identify this motif from available ChIP-seq data24,25. Thus, the biological role, if any, of this binding mode needs to be addressed by further experimentation. For some TFs, we also identified weak signals for another binding mode, where the TFs contact nucleosomal DNA at positions spaced by ~ 40 bp (e.g. TBX2 and ETV; Extended Data Fig. 2g). These results indicate that the nucleosome scaffold enables new binding modes for TFs that are not possible on free DNA.
Nucleosome affects TF binding orientation
In analysis of motif matches on lig200, we noted that some TFs’ motifs displayed a bias of matches in one orientation at the 5’ end, and in the other orientation at the 3’ end of the ligand. This pattern was observed for many ETS and CREB bZIP factors (Fig. 2d, e; Extended Data Fig. 4). The orientational preference induced by the nucleosome can be explained by the fact that nucleosome breaks the rotational symmetry of DNA (Extended Data Fig. 4d); depending on TF orientation, a particular side of a TF will be in proximity with either the second gyre of nucleosomal DNA, or the histone proteins.
To determine whether the directional binding of TFs to a nucleosome is also observed in vivo, we mapped nucleosome positions genome-wide in the human colorectal cancer cell line LoVo using micrococcal nuclease digestion followed by sequencing (MNase-seq). We found that the nucleosome distribution is asymmetric (p < 0.0003, two-side t-test) around ELF1 and ELF2 in vivo sites (Fig. 2f; Extended Data Fig. 4e). Such asymmetry is not observed for the same ELF2 sites after salt treatment that laterally mobilizes the nucleosomes, or around ELF2 motif matches that do not show ChIP-seq signal (Fig. 2f). The nucleosome occupancy is lower upstream than downstream of the ELF2 sites. This pattern likely suggests that the more stable binding of ELF2 downstream of the nucleosome displaces the nucleosome or pushes it upstream. Several chromatin features that are asymmetric relative to TF occupied sites have been reported26–28. Our observation that nucleosome itself induces asymmetry in preferred TF binding orientation provides a potential mechanistic basis for these findings.
Next we analyzed the positional preference of TF binding on nucleosomal DNA. We designed the 147 bp NCAP-SELEX ligand (lig147) that matches the preferred length of nucleosomal DNA29, allowing more precise mapping of TF binding positions relative to the nucleosome. The results indicate that the presence of nucleosome restricts TF binding, and induces several types of positional preference (Fig. 3; Extended Data Fig. 5, 6). Expert analyses and machine learning analyses (see Methods and Extended Data Fig. 6b, c) revealed three types of positional preference on nucleosomal DNA (Fig. 3a; Supplementary Table 5): (1) End preference; these TFs prefer positions towards the end of the ligand that are partially accessible due to a process called “breathing”1,30,31. Many TFs of this class either radially cover more than 180° of the DNA circumference (e.g. bZIP and bHLH), or bind to long motifs through a continuous interaction with DNA (e.g., C2H2 Zinc fingers) (Fig. 3a). (2) Periodic preference; these TFs tend to bind to periodic positions on nucleosomal DNA, and (3) Dyad preference; these TFs prefer to bind to nucleosomal DNA near the dyad position.
Half of the circumference of nucleosomal DNA is in close proximity to the histones. As DNA is helical, equivalent positions that could be accessible to TFs are located at ~10 bp intervals. Accordingly, we found that many TFs prefer to bind to positions located ~10 bp apart on nucleosomal DNA (Fig. 3a; Extended Data Fig. 7). By applying a Fast Fourier Transform (FFT) to the E-MI diagonals, we obtained both the strength and rotational position (phase) of the ~10 bp periodicity for each TF (Fig. 4a). Analysis of the rotational position of binding for the TFs revealed that both major and minor grooves of nucleosomal DNA were accessible from the solvent side. For example, PITX and EOMES prefer almost opposite phases (Fig. 4a). This is consistent with the known structures; PITX contacts DNA principally via the major groove32 (structure in Fig. 4b), whereas T-box TFs such as EOMES contact DNA mainly via the minor groove33,34 (Extended Data Fig. 7b). Such periodic preference of binding has been reported previously for p53 and the glucocorticoid receptor35,36, but the prevalence of this phenomenon was unclear. Among the TF families, periodic binding was particularly common among homeodomain TFs (Fig. 3a), and was also detected for homeodomain TFs from mouse liver (Extended Data Fig. 7g). Taken together, the results suggest that consistently with structural data37 (Extended Data Fig. 5a), many TFs can bind nucleosomal DNA from the solvent-accessible side.
Analysis of the positional preference of TFs on nucleosomal DNA also revealed that the dyad region is strongly preferred by some TFs (Fig. 4c –g; Extended Data Fig. 8; see also refs.38,39). For example, RFX5 shows very strong binding to the dyad positions of lig147 (Fig. 4c); based on a competition assay, RFX5’s affinity to dyad positions is higher than to free DNA (Fig 4c, bottom; Extended Data Fig. 8b). To test whether RFX5 also prefers nucleosomal DNA in vivo, we expressed RFX5 in HEK-293 cells, followed by detection of nucleosome positions and RFX5 occupied sites using MNase-seq and MNase-ChIP. HEK-293 cells do not endogenously express RFX5, and in untransfected cells the positions where exogenous RFX5 binds are located at a maximum of nucleosome occupancy (Fig. 4d; Extended Data Fig. 8). However, upon RFX5 expression, RFX5 forms a complex with nucleosomes, where the positions of the nucleosomes are shifted to the sides of the RFX5 bound sites (Fig. 4d, e). These results indicate that RFX5 prefers nucleosomal DNA in vivo, and that it potentially can induce nucleosome remodeling. In addition to RFX5, we also found that multiple SOX TFs have a preference for binding to dyad DNA (Fig. 4f, g). Such preference for SOX11 was validated with electrophoretic mobility shift assay (EMSA; Extended Data Fig. 8). Taken together, our results indicate that on nucleosomal DNA, some TFs display a strong preference towards the dyad region.
Effect of TF binding on nucleosome dissociation
To determine whether TF binding affects the stability of the nucleosome, we performed an additional affinity capture step to separate the nucleosome-bound and dissociated DNA (unbound) in the last cycle of lig147 NCAP-SELEX (Fig. 1a; Fig. 5; Extended Data Fig. 9). Control experiments lacking TFs showed very little difference between the E-MI signal of the bound and unbound libraries, whereas in the presence of TFs, clear differences were observed (Fig. 5a; Extended Data Fig. 9a). We found that most TFs (e.g. CDX1) have stronger E-MI in the unbound library compared to that of the bound library, suggesting that they can facilitate nucleosome dissociation upon binding (Fig. 5b, c). However, we also identified a few exceptional TFs whose binding stabilized the nucleosome. These include the T-box TFs, such as TBX2 (Fig. 5b). Moreover, TFs’ effect on nucleosome stability is also dependent on their binding mode and position on the nucleosomal DNA (Fig. 5a; Extended Data Fig. 9).
Discussion
TFs and the nucleosome are central elements regulating eukaryotic gene expression. In this study, we developed a new method, NCAP-SELEX, for analysis of nucleosome-TF interactions, and systematically examined the binding preference of 220 TFs on nucleosomal DNA. We identified five major interaction patterns between TFs and the nucleosome (Fig. 5d; Extended Data Fig. 10; Supplementary Table 5). The interaction modes are consistent with structural considerations, and not mutually exclusive. They include (1) binding spanning the two gyres of nucleosomal DNA; (2) orientational preference; (3) end preference; (4) periodic preference; and (5) preferential binding to the dyad region.
Binding of most TFs facilitated the dissociation of nucleosomes. The simplest mechanism to explain this finding is that TFs bind to nucleosomal DNA and form a ternary complex. This complex is relatively unstable because the TFs prefer free DNA over nucleosomal DNA; this difference in affinity provides the free energy that facilitates dissociation of the nucleosome. Although the histone octamer binds 147 bp DNA more strongly than most TFs, within the ~ 10 bp segment that is bound by a TF, the bonds formed by the TF are stronger than those formed by histones. Therefore, binding of a TF to partially dissociated nucleosome can also prevent rewinding of the TF-bound DNA segment to the nucleosome.
The TFs that facilitate dissociation of nucleosome function as potential activators that can open chromatin and regulate gene expression. Some TFs, in turn, stabilized the nucleosome. These factors could repress gene expression, or to precisely position nucleosomes at specific genomic loci. Our findings are related to previous analyses that have identified pioneer TFs, which can access nucleosomal DNA11. However, our observations indicate that a binary classification of TFs is not sufficient to capture the complete diversity of the interaction landscape between TFs and the nucleosome. Taken together, our results explain in part the complexity of the relationship between sequence and gene expression in eukaryotes, and provide a basis for future studies aimed at understanding transcriptional regulation based on biochemical principles.
Extended Data
Supplementary Material
Supplementary Information is linked to the online version of the paper at www.nature.com/nature.
We thank F. Zhong, A. Jolma, J. Zhang, and J. Toivonen for valuable suggestions, E. Inns for proofreading, T. Kivioja for critical review of the manuscript, and L. Hu, J. Liu, and S. Augsten for technical assistance. Funding, J.T.: EU Horizon 2020 project MRGGrammar (664918), Cancerfonden (120529, 150662), Knut and Alice Wallenberg Foundation (2013.0088), Vetenskapsrådet (D0815201), Academy of Finland CoE (312042); P.C.: DFG (SFB860, SPP1935), ERC AdG TRANSREGULON (693023), Volkswagen Foundation; S.D.: EMBO fellowship ALTF 949-2016.
Footnotes
Author Contributions J.T., F.Z. and P.C. conceived the experiments. F.Z. performed most experiments and analyses. L.F. produced the histone octamers. B.S. and E.K. contributed to generation and analysis of the MNase-seq and ChIP-seq data, respectively. B.W. and S.D. performed SOX EMSA and the binding assay with nuclear proteins, respectively. Y.Y. contributed to protein production and motif analysis. M.T., K.N. and E.M contributed to design and analysis of sequencing and structure data. F.Z. and J.T. interpreted the data and wrote the manuscript. All authors discussed the findings and contributed to the manuscript.
Author Information Reprints and permissions information is available at www.nature.com/reprints. All next-generation sequencing data have been deposited in the European Nucleotide Archive (ENA) under accession PRJEB22684.
The authors declare no competing financial interests.
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