Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Targeting MYC with modular synthetic transcriptional repressors derived from bHLH DNA-binding domains

Abstract

Despite unequivocal roles in disease, transcription factors (TFs) remain largely untapped as pharmacologic targets due to the challenges in targeting protein–protein and protein–DNA interactions. Here we report a chemical strategy to generate modular synthetic transcriptional repressors (STRs) derived from the bHLH domain of MAX. Our synthetic approach yields chemically stabilized tertiary domain mimetics that cooperatively bind the MYC/MAX consensus E-box motif with nanomolar affinity, exhibit specificity that is equivalent to or beyond that of full-length TFs and directly compete with MYC/MAX protein for DNA binding. A lead STR directly inhibits MYC binding in cells, downregulates MYC-dependent expression programs at the proteome level and inhibits MYC-dependent cell proliferation. Co-crystallization and structure determination of a STR:E-box DNA complex confirms retention of DNA recognition in a near identical manner as full-length bHLH TFs. We additionally demonstrate structure-blind design of STRs derived from alternative bHLH-TFs, confirming that STRs can be used to develop highly specific mimetics of TFs targeting other gene regulatory elements.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Modular design and synthesis of MAX-derived synthetic transcriptional repressors.
Fig. 2: STRs bind E-box DNA with high affinity and specificity.
Fig. 3: Synthetic modifications improved the stability of STRs in biological environments.
Fig. 4: STRs are cell permeable and oppose MYC-dependent gene expression and phenotypes in cells.
Fig. 5: X-ray crystal structure of a STR:E-box DNA complex.
Fig. 6: Reprogramming STRs for alternative, specific DNA binding.

Similar content being viewed by others

Data availability

X-ray structure coordinates are deposited in the Protein Data Bank under accession number 7RCU. Raw proteomics data are deposited in the Proteome Xchange Consortium through MassIVE under accession number MSV000089749. A representative EMSA gel for each compound and experiment type used in figure preparation is included in the Extended Data figure files. Source data are provided with this paper.

References

  1. Lambert, S. A. et al. The human transcription factors. Cell 172, 650–665 (2018).

    Article  CAS  PubMed  Google Scholar 

  2. Talanian, R. V., McKnight, C. J. & Kim, P. S. Sequence-specific DNA binding by a short peptide dimer. Science 249, 769–771 (1990).

    Article  CAS  PubMed  Google Scholar 

  3. Kouzarides, T. & Ziff, E. Leucine zippers of fos, jun and GCN4 dictate dimerization specificity and thereby control DNA binding. Nature 340, 568–571 (1989).

    Article  CAS  PubMed  Google Scholar 

  4. Blancafort, P., Segal, D. J. & Barbas, C. F. 3rd Designing transcription factor architectures for drug discovery. Mol. Pharmacol. 66, 1361–1371 (2004).

    Article  CAS  PubMed  Google Scholar 

  5. Brent, R. & Ptashne, M. A eukaryotic transcriptional activator bearing the DNA specificity of a prokaryotic repressor. Cell 43, 729–736 (1985).

    Article  CAS  PubMed  Google Scholar 

  6. Canne, L. E., Ferre- D’Amare, A. R., Burley, S. K. & Kent, S. B. H. Total chemical synthesis of a unique transcription factor-related protein: cMyc-Max. J. Am. Chem. Soc. 117, 2998–3007 (1995).

    Article  CAS  Google Scholar 

  7. Boga, S., Bouzada, D., Peña, D. G., Vázquez López, M. & Vázquez, M. E. Sequence-specific DNA recognition with designed peptides. Eur. J. Org. Chem. 2018, 249–261 (2018).

  8. Madden, S. K., de Araujo, A. D., Gerhardt, M., Fairlie, D. P. & Mason, J. M. Taking the Myc out of cancer: toward therapeutic strategies to directly inhibit c-Myc. Mol. Cancer 20, 3 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Trauger, J. W., Baird, E. E. & Dervan, P. B. Recognition of DNA by designed ligands at subnanomolar concentrations. Nature 382, 559–561 (1996).

    Article  CAS  PubMed  Google Scholar 

  10. White, S., Szewczyk, J. W., Turner, J. M., Baird, E. E. & Dervan, P. B. Recognition of the four Watson–Crick base pairs in the DNA minor groove by synthetic ligands. Nature 391, 468–471 (1998).

    Article  CAS  PubMed  Google Scholar 

  11. Kurmis, A. A. & Dervan, P. B. Sequence specific suppression of androgen receptor-DNA binding in vivo by a Py-Im polyamide. Nucleic Acids Res. 47, 3828–3835 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Erwin, G. S. et al. Synthetic transcription elongation factors license transcription across repressive chromatin. Science 358, 1617–1622 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Gottesfeld, J. M., Neely, L., Trauger, J. W., Baird, E. E. & Dervan, P. B. Regulation of gene expression by small molecules. Nature 387, 202–205 (1997).

    Article  CAS  PubMed  Google Scholar 

  14. Kielkopf, C. L., Baird, E. E., Dervan, P. B. & Rees, D. C. Structural basis for G.C recognition in the DNA minor groove. Nat. Struct. Biol. 5, 104–109 (1998).

    Article  CAS  PubMed  Google Scholar 

  15. Chenoweth, D. M. & Dervan, P. B. Allosteric modulation of DNA by small molecules. Proc. Natl Acad. Sci. USA 106, 13175–13179 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Blackwood, E. M. & Eisenman, R. N. Max: a helix-loop-helix zipper protein that forms a sequence-specific DNA-binding complex with Myc. Science 251, 1211–1217 (1991).

    Article  CAS  PubMed  Google Scholar 

  17. Nair, S. K. & Burley, S. K. X-ray structures of Myc-Max and Mad-Max recognizing DNA. Molecular bases of regulation by proto-oncogenic transcription factors. Cell 112, 193–205 (2003).

    Article  CAS  PubMed  Google Scholar 

  18. Demma, M. J. et al. Inhibition of Myc transcriptional activity by a mini-protein based upon Mxd1. FEBS Lett. 594, 1467–1476 (2020).

    Article  PubMed  Google Scholar 

  19. Beaulieu, M. E. et al. Intrinsic cell-penetrating activity propels Omomyc from proof of concept to viable anti-MYC therapy. Sci. Trans. Med. 11, eaar5012 (2019).

    Article  Google Scholar 

  20. Wuo, M. G. & Arora, P. S. Engineered protein scaffolds as leads for synthetic inhibitors of protein–protein interactions. Curr. Opin. Chem. Biol. 44, 16–22 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Soucek, L. et al. Design and properties of a Myc derivative that efficiently homodimerizes. Oncogene 17, 2463–2472 (1998).

    Article  CAS  PubMed  Google Scholar 

  22. Demma, M. J. et al. Omomyc reveals new mechanisms to inhibit the MYC oncogene. Mol. Cell. Biol. 39, e00248–19 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Brownlie, P. et al. The crystal structure of an intact human Max–DNA complex: new insights into mechanisms of transcriptional control. Structure 5, 509–520 (1997).

    Article  CAS  PubMed  Google Scholar 

  24. Pazos, E., Mosquera, J., Vazquez, M. E. & Mascarenas, J. L. DNA recognition by synthetic constructs. Chembiochem 12, 1958–1973 (2011).

    Article  CAS  PubMed  Google Scholar 

  25. Payne, S. R. et al. Inhibition of bacterial gene transcription with an RpoN-based stapled peptide. Cell Chem. Biol. 25, 1059–1066 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Schafmeister, C. E., Po, J. & Verdine, G. L. An all-hydrocarbon cross-linking system for enchancing the helicity and metabolic stability of peptides. J. Am. Chem. Soc. 122, 5891–5892 (2000).

    Article  CAS  Google Scholar 

  27. Hu, J., Banerjee, A. & Goss, D. J. Assembly of b/HLH/z proteins c-Myc, Max, and Mad1 with cognate DNA: importance of protein–protein and protein–DNA interactions. Biochemistry 44, 11855–11863 (2005).

    Article  CAS  PubMed  Google Scholar 

  28. Guo, J. et al. Sequence specificity incompletely defines the genome-wide occupancy of Myc. Genome Biol. 15, 482 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Walensky, L. D. et al. Activation of apoptosis in vivo by a hydrocarbon-stapled BH3 helix. Science 305, 1466–1470 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Bernal, F., Tyler, A. F., Korsmeyer, S. J., Walensky, L. D. & Verdine, G. L. Reactivation of the p53 tumor suppressor pathway by a stapled p53 peptide. J. Am. Chem. Soc. 129, 2456–2457 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Moellering, R. E. et al. Direct inhibition of the NOTCH transcription factor complex. Nature 462, 182–188 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Kong, X. D. et al. De novo development of proteolytically resistant therapeutic peptides for oral administration. Nat. Biomed. Eng. 4, 560–571 (2020).

    Article  CAS  PubMed  Google Scholar 

  33. Bird, G. H. et al. Hydrocarbon double-stapling remedies the proteolytic instability of a lengthy peptide therapeutic. Proc. Natl Acad. Sci. USA 107, 14093–14098 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Yang, P. Y. et al. Stapled, long-acting glucagon-like peptide 2 analog with efficacy in dextran sodium sulfate induced mouse colitis models. J. Med. Chem. 61, 3218–3223 (2018).

    Article  CAS  PubMed  Google Scholar 

  35. Chang, Y. S. et al. Stapled alpha-helical peptide drug development: a potent dual inhibitor of MDM2 and MDMX for p53-dependent cancer therapy. Proc. Natl Acad. Sci. USA 110, E3445–E3454 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Chu, Q. et al. Towards understanding cell penetration by stapled peptides. MedChemComm 6, 111–119 (2015).

    Article  CAS  Google Scholar 

  37. Bird, G. H. et al. Biophysical determinants for cellular uptake of hydrocarbon-stapled peptide helices. Nat. Chem. Biol. 12, 845–852 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. LaRochelle, J. R., Cobb, G. B., Steinauer, A., Rhoades, E. & Schepartz, A. Fluorescence correlation spectroscopy reveals highly efficient cytosolic delivery of certain penta-arg proteins and stapled peptides. J. Am. Chem. Soc. 137, 2536–2541 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Walz, S. et al. Activation and repression by oncogenic MYC shape tumour-specific gene expression profiles. Nature 511, 483–487 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Lin, C. Y. et al. Transcriptional amplification in tumor cells with elevated c-Myc. Cell 151, 56–67 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Speltz, T. et al. Direct targeting of MYC/MAX DNA-binding with a programmable synthetic transcriptional repressor platform. https://doi.org/10.25345/C50V89N0D (2022).

  42. Zeller, K. I., Jegga, A. G., Aronow, B. J., O’Donnell, K. A. & Dang, C. V. An integrated database of genes responsive to the Myc oncogenic transcription factor: identification of direct genomic targets. Genome Biol. 4, R69 (2003).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Fernandez, P. C. et al. Genomic targets of the human c-Myc protein. Genes Dev. 17, 1115–1129 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Pajic, A. et al. Cell cycle activation by c-myc in a Burkitt lymphoma model cell line. Int. J. Cancer 87, 787–793 (2000).

    Article  CAS  PubMed  Google Scholar 

  45. Speltz, T. et al. Synthetic Max homodimer mimic in complex with DNA. RCSB Protein Data Bank. https://doi.org/10.2210/pdb7RCU/pdb (2022).

  46. Jolma, A. et al. DNA-binding specificities of human transcription factors. Cell 152, 327–339 (2013).

    Article  CAS  PubMed  Google Scholar 

  47. Boboila, S. et al. Transcription factor activating protein 4 is synthetically lethal and a master regulator of MYCN-amplified neuroblastoma. Oncogene 37, 5451–5465 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Meijer, D. H. et al. Separated at birth? The functional and molecular divergence of OLIG1 and OLIG2. Nat. Rev. Neurosci. 13, 819–831 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Metallo, S. J. & Schepartz, A. Certain bZIP peptides bind DNA sequentially as monomers and dimerize on the DNA. Nat. Struct. Biol. 4, 115–117 (1997).

    Article  CAS  PubMed  Google Scholar 

  50. Kalodimos, C. G. et al. Structure and flexibility adaptation in nonspecific and specific protein–DNA complexes. Science 305, 386–389 (2004).

    Article  CAS  PubMed  Google Scholar 

  51. Kim, Y. W., Grossmann, T. N. & Verdine, G. L. Synthesis of all-hydrocarbon stapled α-helical peptides by ring-closing olefin metathesis. Nat. Protoc. 6, 761–771 (2011).

    Article  CAS  PubMed  Google Scholar 

  52. Mitra, S. et al. Stapled peptide inhibitors of RAB25 target context-specific phenotypes in cancer. Nat. Commun. 8, 660 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  53. Sherman, B. T. et al. DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Res. 50, W216–W221 (2022).

  54. Minor, W., Cymborowski, M., Otwinowski, Z. & Chruszcz, M. HKL-3000: the integration of data reduction and structure solution—from diffraction images to an initial model in minutes. Acta Crystallogr. D Biol. Crystallogr. 62, 859–866 (2006).

    Article  PubMed  Google Scholar 

  55. Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D Biol. Crystallogr. 66, 213–221 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 66, 486–501 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank S. Ahmadiantehrani for assistance with figure and text editing and C. He, M. Rosner, E. Ozkan, P. Rice, S. Oakes and J. Montgomery for helpful discussions. P493-6 cells were kindly provided by S. Abdulkadir at Northwestern University. Jurkat cells were kindly provided by S. Tay at the University of Chicago. X-ray structure results shown in this report are derived from work performed at the Argonne National Laboratory, Structural Biology Center, at the Advanced Photon Source, under US Department of Energy, Office of Biological and Environmental Research contract DE-AC02-06CH11357. We are grateful for financial support of this work from the following: the Virginia and D. K. Ludwig Fund for Cancer Research (to S.W.F. and G.L.G.); National Institutes of Health (NIH) grant T32 CA009594-34 (to R.E.M. and C.L.) and Medical Scientist Training Program grant T32GM007281 to J.S.C.; the V Foundation for Cancer Research (to R.E.M.); NIH grant DP2GM128199-01 (to R.E.M.); and American Cancer Society-North Central Research Scholar grant RSG-17-150-01-CDD (to R.E.M.).

Author information

Authors and Affiliations

Authors

Contributions

T.E.S., Z.Q., C.S.S., X.S. and R.E.M. contributed to the design and synthesis of all compounds, performed biochemical and cellular experiments, analyzed data and wrote the manuscript, with input from all authors. Z.Q. performed biochemical experiments, collected X-ray structure data and analyzed data. S.W.F. performed biochemical experiments, collected X-ray structure data and analyzed data. J.S.C. performed proteomics sample preparation and analysis. C.W.L., J.S. and D.M.T performed biochemical and cell-based experiments and analyzed data. G.L.G. supervised research related to X-ray structure data collection and analysis. R.E.M. conceived of the study and supervised all research.

Corresponding author

Correspondence to Raymond E. Moellering.

Ethics declarations

Competing interests

T.E.S., X.S. and R.E.M. are named inventors on patent applications related to this work. The remaining authors declare no competing interests.

Peer review

Peer review information

Nature Biotechnology thanks John Bushweller and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Optimization of synthetic transcriptional repressors.

a-e, Representative EMSA gels for compounds in this study. Titrations of compounds consist of 3-fold serial dilutions stating from 2 µM or 200 nM. The symbol (-) indicates a control well with no STR. EMSAs were performed as described in methods. The binding curves for the Kd values listed are shown in Figs. 2b,c. g, Ni-NTA resin pulldown gel for expressed his-tagged bHLH domains of MYC and MAX association in the presence of STR116. h, Uncropped version of gel shown in Fig. 4. i, Uncropped version of gel shown in Extended Data Fig. 4 f. Red channel shows CCNB. Green channel shows c-MYC, LDHA, and actin loading control.

Source data

Extended Data Fig. 2 STR affinity and specificity to E-Box DNA matches that of MYC and MAX protein.

a, Binding curves from EMSA experiments for dual-stabilized MAX-STRs used in this study. Data shown represent mean and s.d. from n = 3 independent replicates. Apparent Kd values represent mean and 95% C.I. from n = 3 independent replicates. b, Representative EMSA gels for recombinant MYC:MAX and MAX:MAX and associated binding curves. Kdapp values are from n = 3 independent replicates. c, Representative EMSA gels for DNA binding specificity experiments in the presence of increasing doses of unlabeled competitor oligos and associated plots of relative bound fraction determined by quantified band intensities. d, e, Representative EMSA gels for STR/protein competition experiments and associated competition curves. The indicated concentration of STR was incubated with 15 nM MYC:MAX (d) or 15 nM MAX:MAX (e) and 0.5 nM Ebox-IRD probe. The relative protein-bound E-Box DNA was quantified from n = 3 (e) or n = 2 (d) replicates and plotted to determine IC50 values. Data shown represent mean and s.d.

Source data

Extended Data Fig. 3 Hydrocarbon stapling promotes enhanced stability and cellular uptake.

a, Circular dichroism spectra for STR118 was measured at 25 °C (blue). The sample was heated to 95 °C for 5 min, cooled back down to 25 °C and the circular dichroism spectra of the same sample was obtained a second time (red). b, LCMS quantification of major fragments observed upon exposure of B-Z to trypsin. The area under the curve for extracted ion chromatograms of B-Z and indicated fragments was measured using a window of m/z ± 1. The plot shows the ratio of the area under the curve for each extracted ion chromatogram relative to the area under the curve for the extracted ion chromatogram of B-Z at time = 0 s. c, Representative EMSA gels from conditioned media stability assay. The assay was performed as described in methods. The images show 3 replicates for each STR. The experiment was repeated 3 times with similar results. d, e, Membrane integrity and viability of HeLa cells treated with FITC conjugated STR. d, Analysis of LDH release after 1-hour treatment of HeLa cells with 5 µM STR, vehicle (DMSO) or SDS lysis buffer. e, Cell-Titer-Glow viability analysis of HeLa cells treated with 5 µM STR or vehicle (DMSO) for 24 hours. Experiments were performed as described in methods. Data represent mean and s.d. of (n = 5, LDH) or (n = 2, CTG) biological replicates. Statistical analyses are by unpaired, two-sided t test. ns: not significant.

Source data

Extended Data Fig. 4 P-BioSTR118 photocrosslinks to E-Box DNA and occupies genomic DNA.

a, The chemical structure of P-BioSTR118. b, Representative EMSA gel and binding curve for P-BioSTR118 show high affinity binding for E-Box oligo. c, Denatured SDS-PAGE gel shows higher molecular weight E-Box oligo adducts are only formed upon exposure to UV at 365 nm. d, ChIP-qPCR quantification of endogenous MYC occupancy at control and E-box-containing target genes in HeLa cells. e, Photo-ChIP-qPCR quantification of P-BioSTR118 occupancy at control and E-box-containing target genes in P493-6 cells treated with 10 µM STR for 24 hr. ChIP-qPCR data represent the mean and s.e.m. of n = 2 (d) and n = 3 (e) independent biological replicates. Statistical analyses are by unpaired, two-sided t test.

Source data

Extended Data Fig. 5 STRs alter the proteome and reduce proliferation of MYC-dependent cell lines.

a, Venn diagram depicting total number of shared and unique peptides analyzed between STR116 and tetracycline treated P493-6 cells. b, Bar graph of the average median change in expression of indicated number of proteins analyzed for individual datasets. c, DAVID-GO analyses indicating clusters of relevant upregulated (c, red, top) and downregulated (d, blue, bottom) proteins shared between STR116 and tetracycline treated P493-6 cells. P-values for SILAC ratios were calculated using a background-based t-test. e, Firefly luciferase activity in HCT116 E-box reporter cells measured after STR treatment (20 μM for 24 hr). Data shown represent mean and s.d. of n = 3 independent biological replicates. Statistical analyses are by unpaired, two-sided t test. f, Representative western blot analysis of P493-6 cells after 48 hr treatment with indicated combinations of vehicle (‘MYC-ON’), tetracycline (‘MYC-OFF’) and 20 µM STR116 or STR118. g, Viability of P493-6 cells treated with STR116 under conditions of low (left, ‘MYC-OFF’) or high MYC expression (right, ‘MYC-ON’) after 72 hr. h, i, Relative viability of Ramos (h) or Jurkat (i) cells treated with STR116 after 72 hr. Viability plots show mean and s.d. for n = 3 independent biological replicates.

Source data

Extended Data Fig. 6 Analysis of B-Z:E-Box crystal structure.

a, Electron density map (top, s = 2.0), overlay of resolved structure onto density map (middle) and cartoon representation for unit cell of crystal structure (bottom). b, DNA overhang contact between neighboring DNA duplexes (top). Contacts between thymine and adenine on oligos from adjacent complexes (bottom). c-e, Hydrophobic core formed between residues from B-Z homodimer include bPhe43, bLeu46, zLeu64 and zAla67. Additional interacting residues between B-Z homodimers include bIle39 and zArg60 near DNA binding interface and zTyr70, zLys66, bPro51, and bVal50 near the c-terminus of the basic helix. f, Cartoon representation of Max homodimer (monomer 1 blue, monomer 2 pink, PDB: 1HLO) bound to DNA (left), B-Z homodimer (monomer 1 yellow with chemical crosslink green, monomer 2 orange) bound to DNA (right) and overlay of structures (middle). Structural alignment of B-Z homodimer to Max homodimer results in an RMSD of 0.847 Å for the backbone of the entire DNA binding domain held in common and 2.3 Å for entire bHLH structure. The interface between DNA binding domain of B-Z (1781 Å2) is also comparable to that of MAX homodimer (1726 Å2). g, Structural alignment for all residues in common between MAX and B-Z. h, Overview of basic helices from structure alignment.

Extended Data Fig. 7 Quantitative multiplexed EMSA (qEMSA) assay allows one-pot direct comparison of binding to a pool of unique DNA motifs.

a, Schematic depicting workflow of qEMSA. b, qEMSA profile of STR118 depicting high selectivity for canonical E-box DNA. c-g, Bar graphs indicating specific target enrichment derived from qEMSA experiments for STR118 (c) MAX/MAX (d), (e) STR116, (f) STR640 and (g) STR690. Data shown represent mean and s.d. from n = 2 independent replicates.

Extended Data Fig. 8 Design and characterization of TFAP4- and OLIG2-derived STRs.

a, Sequences of DNA probes containing target motifs E1, E2, and E3 used in b-f. b, Representative EMSA gels showing DNA binding of indicated compound with DNA consensus oligo E1, E2, and E3 in the presence of 0.01 mg/ml salmon sperm DNA. c-f, Dose-dependent target selectivity curves from quantified EMSA gels for native MAX dimer (c) or MAX- (d), TFAP4- (e) and OLIG2-derived (f) STRs binding to indicated target sequences, E1, E2, or E3.

Source data

Supplementary information

Reporting Summary

Supplementary Table

Excel workbook with Supplementary Tables 1–7

Source data

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Speltz, T.E., Qiao, Z., Swenson, C.S. et al. Targeting MYC with modular synthetic transcriptional repressors derived from bHLH DNA-binding domains. Nat Biotechnol 41, 541–551 (2023). https://doi.org/10.1038/s41587-022-01504-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41587-022-01504-x

This article is cited by

Search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research