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Protein mimetic amyloid inhibitor potently abrogates cancer-associated mutant p53 aggregation and restores tumor suppressor function

Palanikumar, L., Karpauskaite, Laura, Al-Sayegh, Mohamed, Chehade, Ibrahim, Alam, Maheen, Hassan, Sarah, Maity, Debabrata, Ali, Liaqat, Kalmouni, Mona, Hunashal, Yamanappa, Ahmed, Jemil, Houhou, Tatiana, Karapetyan, Shake, Falls, Zackary, Samudrala, Ram, Pasricha, Renu, Esposito, Gennaro, Afzal, Ahmed J., Hamilton, Andrew D., Kumar, Sunil, Magzoub, Mazin·2021·Nature Communications

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Abstract

Missense mutations in p53 are severely deleterious and occur in over 50% of all human cancers. The majority of these mutations are located in the inherently unstable DNA-binding domain (DBD), many of which destabilize the domain further and expose its aggregation-prone hydrophobic core, prompting self-assembly of mutant p53 into inactive cytosolic amyloid-like aggregates. Screening an oligopyridylamide library, previously shown to inhibit amyloid formation associated with Alzheimer’s disease and type II diabetes, identified a tripyridylamide, ADH-6, that abrogates self-assembly of the aggregation-nucleating subdomain of mutant p53 DBD. Moreover, ADH-6 targets and dissociates mutant p53 aggregates in human cancer cells, which restores p53’s transcriptional activity, leading to cell cycle arrest and apoptosis. Notably, ADH-6 treatment effectively shrinks xenografts harboring mutant p53, while exhibiting no toxicity to healthy tissue, thereby substantially prolonging survival. This study demonstrates the successful application of a bona fide small-molecule amyloid inhibitor as a potent anticancer agent.

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  1. Bieging, K. T., Mello, S. S. & Attardi, L. D. Unravelling mechanisms of p53-mediated tumour suppression. Nat. Rev. Cancer 14, 359–370 (2014). · DOI · Paper page
  2. Zilfou, J.T. & Lowe, S.W. Tumor suppressive functions of p53. Cold Spring Harb. Perspect. Biol. 1, a001883 (2009). · DOI · Paper page
  3. Joerger, A. C. & Fersht, A. R. The p53 pathway: origins, inactivation in cancer, and emerging therapeutic approaches. Annu. Rev. Biochem. 85, 375–404 (2016). · DOI · Paper page
  4. Khoo, K. H., Verma, C. S. & Lane, D. P. Drugging the p53 pathway: understanding the route to clinical efficacy. Nat. Rev. Drug Discov. 13, 217–236 (2014). · DOI · Paper page
  5. Joerger, A. C. & Fersht, A. R. The tumor suppressor p53: from structures to drug discovery. Cold Spring Harb. Perspect. Biol. 2, a000919 (2010). · DOI · Paper page
  6. Bouaoun, L. et al. TP53 variations in human cancers: new lessons from the IARC TP53 database and genomics data. Hum. Mutat. 37, 865–876 (2016). · DOI · Paper page
  7. Baugh, E. H., Ke, H., Levine, A. J., Bonneau, R. A. & Chan, C. S. Why are there hotspot mutations in the TP53 gene in human cancers? Cell Death Differ. 25, 154–160 (2018). · DOI · Paper page
  8. Silva, J. L., Gallo, C. V. D. M., Costa, D. C. F. & Rangel, L. P. Prion-like aggregation of mutant p53 in cancer. Trends Biochem. Sci. 39, 260–267 (2014). · DOI · Paper page
  9. Silva, J. L., Cino, E. A., Soares, I. N., Ferreira, V. F. & de Oliveira, A. P. G. Targeting the Prion-like aggregation of mutant p53 to combat cancer. Acc. Chem. Res. 51, 181–190 (2018). · DOI
  10. Wang, G. & Fersht, A. R. First-order rate-determining aggregation mechanism of p53 and its implications. Proc. Natl. Acad. Sci. USA 109, 13590–13595 (2012). · DOI · Paper page
  11. Reumers, J., Maurer-Stroh, S., Schymkowitz, J. & Rousseau, F. Protein sequences encode safeguards against aggregation. Hum. Mutat. 30, 431–437 (2009). · DOI
  12. Pawar, A. P. et al. Prediction of ‘aggregation-prone’ and ‘aggregation-susceptible’ regions in proteins associated with neurodegenerative diseases. J. Mol. Biol. 350, 379–392 (2005). · DOI · Paper page
  13. Xu, J. et al. Gain of function of mutant p53 by coaggregation with multiple tumor suppressors. Nat. Chem. Biol. 7, 285–295 (2011). · DOI · Paper page
  14. Kanapathipillai, M. Treating p53 mutant aggregation-associated cancer. Cancers (Basel) 10, 154 (2018). · DOI · Paper page
  15. Hishiya, A. & Takayama, S. Molecular chaperones as regulators of cell death. Oncogene 27, 6489–6506 (2008). · DOI
  16. Kumar, S. & Hamilton, A. D. α-helix mimetics as modulators of Aβ self-assembly. J. Am. Chem. Soc. 139, 5744–5755 (2017). · DOI
  17. Kumar, S., Henning-Knechtel, A., Magzoub, M. & Hamilton, A. D. Peptidomimetic-based multidomain targeting offers critical evaluation of Aβ structure and toxic function. J. Am. Chem. Soc. 140, 6562–6574 (2018). · DOI
  18. Kulikov, O. V. et al. Amphiphilic oligoamide α-helix peptidomimetics inhibit islet amyloid polypeptide aggregation. Tetrahedron Lett. 56, 3670–3673 (2015). · DOI
  19. Kumar, S. et al. Islet amyloid induced cell death and bilayer integrity loss share a molecular origin targetable with oligopyridylamide-based α-helical mimetics. Chem. Biol. 22, 369–378 (2015). · DOI
  20. Cummings, C. G. & Hamilton, A. D. Disrupting protein–protein interactions with non-peptidic, small molecule α-helix mimetics. Curr. Opin. Chem. Biol. 14, 341–346 (2010). · DOI · Paper page
  21. Azzarito, V., Long, K., Murphy, N. S. & Wilson, A. J. Inhibition of α-helix-mediated protein–protein interactions using designed molecules. Nat. Chem. 5, 161–173 (2013). · DOI · Paper page
  22. Eisenberg, D. S. & Sawaya, M. R. Structural studies of amyloid proteins at the molecular level. Annu. Rev. Biochem. 86, 69–95 (2017). · DOI · Paper page
  23. Magzoub, M. & Miranker, A. D. p53 succumbs to peer pressure. Nat. Chem. Biol. 7, 248–249 (2011). · doi:10.1038/nchembio.569
  24. Ghosh, S. et al. Investigating the intrinsic aggregation potential of evolutionarily conserved segments in p53. Biochemistry 53, 5995–6010 (2014). · DOI
  25. Ang, H. C., Joerger, A. C., Mayer, S. & Fersht, A. R. Effects of common cancer mutations on stability and DNA binding of full-length p53 compared with isolated core domains. J. Biol. Chem. 281, 21934–21941 (2006). · DOI · Paper page
  26. Bray, F. et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 68, 394–424 (2018). · DOI · Paper page
  27. Groenning, M. Binding mode of Thioflavin T and other molecular probes in the context of amyloid fibrils-current status. J. Chem. Biol. 3, 1–18 (2010). · DOI · Paper page
  28. Cohen, S. I. A., Vendruscolo, M., Dobson, C. M. & Knowles, T. P. J. From macroscopic measurements to microscopic mechanisms of protein aggregation. J. Mol. Biol. 421, 160–171 (2012). · DOI · Paper page
  29. Yin, H., Lee, G.-I. & Hamilton, A.D. in Drug Discovery Research (ed. Huang, Z.) 281–299 (Wiley, 2006). · doi:10.1002/9780470131862.ch11
  30. Ghosh, S. et al. p53 amyloid formation leading to its loss of function: implications in cancer pathogenesis. Cell Death Differ. 24, 1784–1798 (2017). · DOI
  31. Rasquinha, J. A., Bej, A., Dutta, S. & Mukherjee, S. Intrinsic differences in backbone dynamics between wild type and DNA-contact mutants of the p53 DNA binding domain revealed by nuclear magnetic resonance spectroscopy. Biochemistry 56, 4962–4971 (2017). · DOI
  32. Bussière, T. et al. Morphological characterization of Thioflavin-S-positive amyloid plaques in transgenic Alzheimer mice and effect of passive Abeta immunotherapy on their clearance. Am. J. Pathol. 165, 987–995 (2004). · DOI · Paper page
  33. Doonan, J. H. & Sablowski, R. Walls around tumours—why plants do not develop cancer. Nat. Rev. Cancer 10, 794–802 (2010). · DOI
  34. Ma, H., Song, T., Wang, T. & Wang, S. Influence of human p53 on plant development. PLoS ONE 11, e0162840 (2016). · DOI
  35. Zhang, Y. et al. Therapeutic potential of ReACp53 targeting mutant p53 protein in CRPC. Prostate Cancer Prostatic Dis. 23, 160–171 (2020). · DOI · Paper page
  36. Molina, D. M. et al. Monitoring drug target engagement in cells and tissues using the cellular thermal shift assay. Science 341, 84–87 (2013). · DOI · Paper page
  37. van Engeland, M., Nieland, L. J., Ramaekers, F. C., Schutte, B. & Reutelingsperger, C. P. Annexin V-affinity assay: a review on an apoptosis detection system based on phosphatidylserine exposure. Cytometry 31, 1–9 (1998). · doi:10.1002/(sici)1097-0320(19980101)31:1<1::aid-cyto1>3.0.co;2-r
  38. Kaeser, M. D. & Iggo, R. D. Chromatin immunoprecipitation analysis fails to support the latency model for regulation of p53 DNA binding activity in vivo. Proc. Natl Acad. Sci. USA 99, 95–100 (2002). · DOI · Paper page
  39. Swift, J. & Coruzzi, G. A matter of time—how transient transcription factor interactions create dynamic gene regulatory networks. Biochim. Biophys. Acta 1860, 75–83 (2017). · DOI
  40. Shahbazi, J., Lock, R. & Liu, T. Tumor protein 53-induced nuclear protein 1 enhances p53 function and represses tumorigenesis. Front Genet. 4, 80 (2013). · DOI
  41. Elkeles, A. et al. The c-fos proto-oncogene is a target for transactivation by the p53 tumor suppressor. Mol. Cell Biol. 19, 2594–2600 (1999). · DOI
  42. Yu, J., Baron, V., Mercola, D., Mustelin, T. & Adamson, E. D. A network of p73, p53 and Egr1 is required for efficient apoptosis in tumor cells. Cell Death Differ. 14, 436–446 (2007). · DOI
  43. Sachdeva, M. et al. p53 represses c-Myc through induction of the tumor suppressor miR-145. Proc. Natl Acad. Sci. USA 106, 3207–3212 (2009). · DOI · Paper page
  44. Altomare, D. A. et al. AKT and mTOR phosphorylation is frequently detected in ovarian cancer and can be targeted to disrupt ovarian tumor cell growth. Oncogene 23, 5853–5857 (2004). · DOI · Paper page
  45. Emaduddin, M., Bicknell, D. C., Bodmer, W. F. & Feller, S. M. Cell growth, global phosphotyrosine elevation, and c-Met phosphorylation through Src family kinases in colorectal cancer cells. Proc. Natl Acad. Sci. USA 105, 2358–2362 (2008). · DOI · Paper page
  46. Takano, S. et al. Increased circulating cell signalling phosphoproteins in sera are useful for the detection of pancreatic cancer. Br. J. Cancer 103, 223–231 (2010). · DOI
  47. Ardito, F., Giuliani, M., Perrone, D., Troiano, G. & Lo Muzio, L. The crucial role of protein phosphorylation in cell signaling and its use as targeted therapy (Review). Int. J. Mol. Med. 40, 271–280 (2017). · DOI · Paper page
  48. Cicenas, J. The potential role of Akt phosphorylation in human cancers. Int. J. Biol. Markers 23, 1–9 (2008). · DOI · Paper page
  49. Giono, L. E. & Manfredi, J. J. The p53 tumor suppressor participates in multiple cell cycle checkpoints. J. Cell. Physiol. 209, 13–20 (2006). · DOI · Paper page
  50. Brady, C. A. et al. Distinct p53 transcriptional programs dictate acute DNA-damage responses and tumor suppression. Cell 145, 571–583 (2011). · DOI · Paper page
  51. Godar, S. et al. Growth-inhibitory and tumor-suppressive functions of p53 depend on its repression of CD44 expression. Cell 134, 62–73 (2008). · DOI · Paper page
  52. Saifudeen, Z., Marks, J., Du, H. & El-Dahr, S. S. Spatial repression of PCNA by p53 during kidney development. Am. J. Physiol. Ren. Physiol. 283, F727–F733 (2002). · DOI
  53. Levy, N., Yonish-Rouach, E., Oren, M. & Kimchi, A. Complementation by wild-type p53 of interleukin-6 effects on M1 cells: induction of cell cycle exit and cooperativity with c-myc suppression. Mol. Cell. Biol. 13, 7942–7952 (1993).
  54. Timmers, C. et al. E2f1, E2f2, and E2f3 control E2F target expression and cellular proliferation via a p53-dependent negative feedback loop. Mol. Cell. Biol. 27, 65–78 (2007). · DOI
  55. Welch, C., Chen, Y. & Stallings, R. L. MicroRNA-34a functions as a potential tumor suppressor by inducing apoptosis in neuroblastoma cells. Oncogene 26, 5017–5022 (2007). · DOI · Paper page
  56. Stambolic, V. et al. Regulation of PTEN transcription by p53. Mol. Cell 8, 317–325 (2001). · DOI · Paper page
  57. Feng, Z., Zhang, H., Levine, A. J. & Jin, S. The coordinate regulation of the p53 and mTOR pathways in cells. Proc. Natl Acad. Sci. USA 102, 8204–8209 (2005). · DOI · Paper page
  58. Hasty, P., Sharp, Z. D., Curiel, T. J. & Campisi, J. mTORC1 and p53. Cell Cycle 12, 20–25 (2013). · DOI
  59. Meibohm, B. & Derendorf, H. Basic concepts of pharmacokinetic/pharmacodynamic (PK/PD) modelling. Int. J. Clin. Pharmacol. Ther. 35, 401–413 (1997).
  60. Palanikumar, L. et al. pH-responsive high stability polymeric nanoparticles for targeted delivery of anticancer therapeutics. Commun. Biol. 3, 1–17 (2020). · DOI · Paper page
  61. Sparreboom, A. et al. Limited oral bioavailability and active epithelial excretion of paclitaxel (Taxol) caused by P-glycoprotein in the intestine. Proc. Natl Acad. Sci. USA 94, 2031–2035 (1997). · DOI · Paper page
  62. Sunde, M. & Blake, C. C. From the globular to the fibrous state: protein structure and structural conversion in amyloid formation. Q. Rev. Biophys. 31, 1–39 (1998). · DOI · Paper page
  63. Chiti, F. & Dobson, C. M. Protein misfolding, functional amyloid, and human disease. Annu. Rev. Biochem. 75, 333–366 (2006). · DOI · Paper page
  64. Bullock, A. N. & Fersht, A. R. Rescuing the function of mutant p53. Nat. Rev. Cancer 1, 68–76 (2001). · DOI · Paper page
  65. Ishimaru, D. et al. Fibrillar aggregates of the tumor suppressor p53 core domain. Biochemistry 42, 9022–9027 (2003). · DOI · Paper page
  66. Miller, J. J. et al. Bifunctional ligand design for modulating mutant p53 aggregation in cancer. Chem. Sci. 10, 10802–10814 (2019). · DOI · Paper page
  67. Wang, G. & Fersht, A. R. Multisite aggregation of p53 and implications for drug rescue. Proc. Natl Acad. Sci. USA 114, E2634–E2643 (2017). · DOI
  68. Abedini, A. & Raleigh, D. P. A role for helical intermediates in amyloid formation by natively unfolded polypeptides? Phys. Biol. 6, 015005 (2009). · DOI · Paper page
  69. Ghosh, D. et al. Structure based aggregation studies reveal the presence of helix-rich intermediate during α-Synuclein aggregation. Sci. Rep. 5, 9228 (2015). · DOI · Paper page
  70. Zhou, M., Ottenberg, G., Sferrazza, G. F. & Lasmézas, C. I. Highly neurotoxic monomeric α-helical prion protein. Proc. Natl Acad. Sci. USA 109, 3113–3118 (2012). · DOI
  71. Garg, A., Hazra, J. P., Sannigrahi, M. K., Rakshit, S. & Sinha, S. Variable mutations at the p53-R273 oncogenic hotspot position leads to altered properties. Biophys. J. 118, 720–728 (2020). · DOI
  72. Higashimoto, Y. et al. Unfolding, aggregation, and amyloid formation by the tetramerization domain from mutant p53 associated with lung cancer. Biochemistry 45, 1608–1619 (2006). · DOI · Paper page
  73. Karimian, A., Ahmadi, Y. & Yousefi, B. Multiple functions of p21 in cell cycle, apoptosis and transcriptional regulation after DNA damage. DNA Repair (Amst.) 42, 63–71 (2016). · DOI · Paper page
  74. Polyak, K., Xia, Y., Zweier, J. L., Kinzler, K. W. & Vogelstein, B. A model for p53-induced apoptosis. Nature 389, 300–305 (1997). · DOI · Paper page
  75. Lee, J.-H. et al. The p53-inducible gene 3 (PIG3) contributes to early cellular response to DNA damage. Oncogene 29, 1431–1450 (2010). · DOI
  76. Albert, M.-C., Brinkmann, K. & Kashkar, H. Noxa and cancer therapy. Mol. Cell Oncol. 1, e29906 (2014). · DOI
  77. Montero, J. et al. Destabilization of NOXA mRNA as a common resistance mechanism to targeted therapies. Nat. Commun. 10, 5157 (2019). · DOI
  78. Kalmouni, M., Al-Hosani, S. & Magzoub, M. Cancer targeting peptides. Cell. Mol. Life Sci. 76, 2171–2183 (2019).
  79. Henning-Knechtel, A. et al. Designed cell-penetrating peptide inhibitors of amyloid-beta aggregation and cytotoxicity. Cell Rep. Phys. Sci. 1, 100014 (2020). · DOI
  80. Jayatunga, M. K. P., Thompson, S. & Hamilton, A. D. α-Helix mimetics: outwards and upwards. Bioorg. Med. Chem. Lett. 24, 717–724 (2014). · DOI
  81. Kastenhuber, E. R. & Lowe, S. W. Putting p53 in context. Cell 170, 1062–1078 (2017). · DOI · Paper page
  82. D’Auria, S. et al. Tumor-specific protein human galectin-1 interacts with anticancer agents. Mol. BioSyst. 5, 1331–1336 (2009). · DOI
  83. Gao, J.-L. et al. Structural properties of a haemophore facilitate targeted elimination of the pathogen Porphyromonas gingivalis. Nat. Commun. 9, 4097 (2018). · DOI
  84. Bodenhausen, G. & Ruben, D. J. Natural abundance nitrogen-15 NMR by enhanced heteronuclear spectroscopy. Chem. Phys. Lett. 69, 185–189 (1980). · DOI · Paper page
  85. Palmer, A. G., Cavanagh, J., Wright, P. E. & Rance, M. Sensitivity improvement in proton-detected two-dimensional heteronuclear correlation NMR spectroscopy. J. Magn. Reson. (1969) 93, 151–170 (1991). · DOI · Paper page
  86. Schleucher, J. et al. A general enhancement scheme in heteronuclear multidimensional NMR employing pulsed field gradients. J. Biomol. NMR 4, 301–306 (1994). · DOI · Paper page
  87. Grzesiek, S. & Bax, A. The importance of not saturating water in protein NMR. Application to sensitivity enhancement and NOE measurements. J. Am. Chem. Soc. 115, 12593–12594 (1993). · DOI · Paper page
  88. Pervushin, K., Riek, R., Wider, G. & Wüthrich, K. Attenuated T2 relaxation by mutual cancellation of dipole–dipole coupling and chemical shift anisotropy indicates an avenue to NMR structures of very large biological macromolecules in solution. Proc. Natl Acad. Scoi/ 94, 12366–12371 (1997). · DOI · Paper page
  89. Yang, D. & Kay, L. E. Improved 1HN-detected triple resonance TROSY-based experiments. J. Biomol. NMR 13, 3–10 (1999). · DOI
  90. Woldetsadik, A. D., Vogel, M. C., Rabeh, W. M. & Magzoub, M. Hexokinase II–derived cell-penetrating peptide targets mitochondria and triggers apoptosis in cancer cells. FASEB J. 31, 2168–2184 (2017). · DOI
  91. Palanikumar, L., Al-Hosani, S., Kalmouni, M., Saleh, H. O. & Magzoub, M. Hexokinase II-derived cell-penetrating peptide mediates delivery of microRNA mimic for cancer-selective cytotoxicity. Biochemistry 59, 2259–2273 (2020). · DOI
  92. Smith, P. K. et al. Measurement of protein using bicinchoninic acid. Anal. Biochem. 150, 76–85 (1985). · DOI · Paper page
  93. Kumar, K., Yadav, S., Purayannur, S. & Verma, P. K. An alternative approach in Gateway(®) cloning when the bacterial antibiotic selection cassettes of the entry clone and destination vector are the same. Mol. Biotechnol. 54, 133–140 (2013). · doi:10.1007/s12033-012-9549-0
  94. Tai, T. H. et al. Expression of the Bs2 pepper gene confers resistance to bacterial spot disease in tomato. Proc. Natl. Acad. Sci. USA 96, 14153–14158 (1999). · DOI · Paper page
  95. Day, B. et al. Molecular basis for the RIN4 negative regulation of RPS2 disease resistance. Plant Cell 17, 1292–1305 (2005). · DOI
  96. Barltrop, J. A., Owen, T. C., Cory, A. H. & Cory, J. G. 5-(3-carboxymethoxyphenyl)-2-(4,5-dimethylthiazolyl)-3-(4-sulfophenyl)tetrazolium, inner salt (MTS) and related analogs of 3-(4,5-dimethylthiazolyl)-2,5-diphenyltetrazolium bromide (MTT) reducing to purple water-soluble formazans As cell-viability indicators. Bioorg. Med. Chem. Lett. 1, 611–614 (1991). · DOI · Paper page
  97. Berridge, M. V. & Tan, A. S. Characterization of the cellular reduction of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT): subcellular localization, substrate dependence, and involvement of mitochondrial electron transport in MTT reduction. Arch. Biochem. Biophys. 303, 474–482 (1993). · DOI · Paper page
  98. Koopman, G. et al. Annexin V for flow cytometric detection of phosphatidylserine expression on B cells undergoing apoptosis. Blood 84, 1415–1420 (1994). · DOI
  99. Darzynkiewicz, Z. & Huang, X. Analysis of cellular DNA content by flow cytometry. Curr. Protoc. Immunol. Chapter 5, Unit 5.7 (2004). · DOI
  100. García-Castro, B. et al. Restoration of WNT4 inhibits cell growth in leukemia-derived cell lines. BMC Cancer 13, 557 (2013). · DOI
  101. Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014). · DOI · Paper page
  102. Nelson, J. W., Sklenar, J., Barnes, A. P. & Minnier, J. The START App: a web-based RNAseq analysis and visualization resource. Bioinformatics 33, 447–449 (2017). · DOI
  103. Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B (Methodol.) 57, 289–300 (1995). · DOI · Paper page
  104. Huang, D. W., Sherman, B. T. & Lempicki, R. A. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 37, 1–13 (2009). · DOI · Paper page
  105. Pinger, J. et al. African trypanosomes evade immune clearance by O-glycosylation of the VSG surface coat. Nat. Microbiol 3, 932–938 (2018). · DOI
  106. Thingholm, T. E., Jørgensen, T. J. D., Jensen, O. N. & Larsen, M. R. Highly selective enrichment of phosphorylated peptides using titanium dioxide. Nat. Protoc. 1, 1929–1935 (2006). · DOI · Paper page
  107. Kelstrup, C. D. et al. Limits for resolving isobaric tandem mass tag reporter ions using phase-constrained spectrum deconvolution. J. Proteome Res. 17, 4008–4016 (2018). · DOI
  108. Ma, B. et al. PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry. Rapid Commun. Mass Spectrom. 17, 2337–2342 (2003). · DOI · Paper page
  109. Metsalu, T. & Vilo, J. ClustVis: a web tool for visualizing clustering of multivariate data using principal component analysis and heatmap. Nucleic Acids Res. 43, W566–W570 (2015). · DOI · Paper page
  110. Huang, D. W. et al. DAVID gene ID conversion tool. Bioinformation 2, 428–430 (2008). · DOI · Paper page
  111. Dunn, K. W., Kamocka, M. M. & McDonald, J. H. A practical guide to evaluating colocalization in biological microscopy. Am. J. Physiol. Cell Physiol. 300, 723–742 (2011). · DOI · Paper page
  112. National Research Council (US) Committee for the Update of the Guide for the Care and Use of Laboratory Animals. Guide for the Care and Use of Laboratory Animals (National Academies Press, 2011).
  113. Bowerman, C. J. et al. Docetaxel-loaded PLGA nanoparticles improve efficacy in taxane-resistant triple-negative breast cancer. Nano Lett. 17, 242–248 (2017). · DOI
  114. Luo, Z. et al. Engineering a hollow nanocontainer platform with multifunctional molecular machines for tumor-targeted therapy in vitro and in vivo. ACS Nano 7, 10271–10284 (2013). · DOI · Paper page
  115. Williamson, M. P. Using chemical shift perturbation to characterise ligand binding. Prog. Nucl. Magn. Reson Spectrosc. 73, 1–16 (2013). · DOI · Paper page

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Metadata

Authors
Palanikumar, L., Karpauskaite, L., Al-Sayegh, M., Chehade, I., Alam, M., Hassan, S., Maity, D., Ali, L., Kalmouni, M., Hunashal, Y., Ahmed, J., Houhou, T., Karapetyan, S., Falls, Z., Samudrala, R., Pasricha, R., Esposito, G., Afzal, A. J., Hamilton, A. D., Kumar, S., & Magzoub, M.
Venue
Nature Communications
Published
2021-06-25
Volume
12
Issue
1
ISSN
2041-1723
Cited by
132
References
23
Language
en
Licence
Funders
New York University Abu Dhabi (Research Grant)

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Palanikumar, L., Karpauskaite, L., Al-Sayegh, M., Chehade, I., Alam, M., Hassan, S., Maity, D., Ali, L., Kalmouni, M., Hunashal, Y., Ahmed, J., Houhou, T., Karapetyan, S., Falls, Z., Samudrala, R., Pasricha, R., Esposito, G., Afzal, A. J., Hamilton, A. D., . . . Magzoub, M. (2021). Protein mimetic amyloid inhibitor potently abrogates cancer-associated mutant p53 aggregation and restores tumor suppressor function. Nature Communications. https://doi.org/10.1038/s41467-021-23985-1

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.