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Global profiling of functional histidines in live cells using small-molecule photosensitizer and chemical probe relay labelling | Nature Chemistry

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Nature Chemistry (2024 )Cite this article Electric Relay

Global profiling of functional histidines in live cells using small-molecule photosensitizer and chemical probe relay labelling | Nature Chemistry

Recent advances in chemical proteomics have focused on developing chemical probes that react with nucleophilic amino acid residues. Although histidine is an attractive candidate due to its importance in enzymatic catalysis, metal binding and protein–protein interaction, its moderate nucleophilicity poses challenges. Its modification is frequently influenced by cysteine and lysine, which results in poor selectivity and narrow proteome coverage. Here we report a singlet oxygen and chemical probe relay labelling method that achieves high selectivity towards histidine. Libraries of small-molecule photosensitizers and chemical probes were screened to optimize histidine labelling, enabling histidine profiling in live cells with around 7,200 unique sites. Using NMR spectroscopy and X-ray crystallography, we characterized the reaction mechanism and the structures of the resulting products. We then applied this method to discover unannotated histidine sites key to enzymatic activity and metal binding in select metalloproteins. This method also revealed the accessibility change of histidine mediated by protein–protein interaction that influences select protein subcellular localization, underscoring its capability in discovering functional histidines.

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The mass spectrometry data generated in this study have been deposited to the ProteomeXchange Consortium via the iProX (ref. 82) partner repository with the dataset identifier PXD042377 (Histidine_Profiling_MS dataset). Crystallographic data for small molecule 7 reported in this Article have been deposited at the Cambridge Crystallographic Data Centre, under deposition number CCDC 2312673. Copies of the data can be obtained free of charge via https://www.ccdc.cam.ac.uk/structures. The dataset corresponding to the Python and R codes are available via Zenodo at https://doi.org/10.5281/zenodo.10867769 (ref. 83) or from the corresponding author upon request. Source data are provided with this paper.

The Python code used for cleaning up histidine-containing peptides data, SASA analysis, secondary structure distribution analysis and distance measurement, along with the R code for domain enrichment analysis, are available via Zenodo at https://doi.org/10.5281/zenodo.10867769 (ref. 83) or from the corresponding author upon request.

Liu, Y., Patricelli, M. P. & Cravatt, B. F. Activity-based protein profiling: the serine hydrolases. Proc. Natl Acad. Sci. USA 96, 14694–14699 (1999).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cravatt, B. F., Wright, A. T. & Kozarich, J. W. Activity-based protein profiling: from enzyme chemistry to proteomic chemistry. Annu. Rev. Biochem. 77, 383–414 (2008).

Article  CAS  PubMed  Google Scholar 

Long, J. Z. & Cravatt, B. F. The metabolic serine hydrolases and their functions in mammalian physiology and disease. Chem. Rev. 111, 6022–6063 (2011).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kidd, D., Liu, Y. & Cravatt, B. F. Profiling serine hydrolase activities in complex proteomes. Biochemistry 40, 4005–4015 (2001).

Article  CAS  PubMed  Google Scholar 

Patricelli, M. P. et al. Functional interrogation of the kinome using nucleotide acyl phosphates. Biochemistry 46, 350–358 (2007).

Article  CAS  PubMed  Google Scholar 

Zhao, Q. et al. Broad-spectrum kinase profiling in live cells with lysine-targeted sulfonyl fluoride probes. J. Am. Chem. Soc. 139, 680–685 (2017).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kato, D. et al. Activity-based probes that target diverse cysteine protease families. Nat. Chem. Biol. 1, 33–38 (2005).

Article  CAS  PubMed  Google Scholar 

Saghatelian, A., Jessani, N., Joseph, A., Humphrey, M. & Cravatt, B. F. Activity-based probes for the proteomic profiling of metalloproteases. Proc. Natl Acad. Sci. USA 101, 10000–10005 (2004).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Vocadlo, D. J. & Bertozzi, C. R. A strategy for functional proteomic analysis of glycosidase activity from cell lysates. Angew. Chem. Int. Ed. 43, 5338–5342 (2004).

Hekmat, O., Kim, Y. W., Williams, S. J., He, S. & Withers, S. G. Active-site peptide “fingerprinting” of glycosidases in complex mixtures by mass spectrometry. Discovery of a novel retaining beta-1,4-glycanase in Cellulomonas fimi. J. Biol. Chem. 280, 35126–35135 (2005).

Article  CAS  PubMed  Google Scholar 

Kumar, S. et al. Activity-based probes for protein tyrosine phosphatases. Proc. Natl Acad. Sci. USA 101, 7943–7948 (2004).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bachovchin, D. A., Brown, S. J., Rosen, H. & Cravatt, B. F. Identification of selective inhibitors of uncharacterized enzymes by high-throughput screening with fluorescent activity-based probes. Nat. Biotechnol. 27, 387–394 (2009).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Nomura, D. K. et al. Monoacylglycerol lipase regulates a fatty acid network that promotes cancer pathogenesis. Cell 140, 49–61 (2010).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Weerapana, E. et al. Quantitative reactivity profiling predicts functional cysteines in proteomes. Nature 468, 790–795 (2010).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hacker, S. M. et al. Global profiling of lysine reactivity and ligandability in the human proteome. Nat. Chem. 9, 1181–1190 (2017).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hahm, H. S. et al. Global targeting of functional tyrosines using sulfur-triazole exchange chemistry. Nat. Chem. Biol. 16, 150–160 (2020).

Article  CAS  PubMed  Google Scholar 

Lin, S. X. et al. Redox-based reagents for chemoselective methionine bioconjugation. Science 355, 597–602 (2017).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ma, N. et al. 2H-Azirine-based reagents for chemoselective bioconjugation at carboxyl residues inside live cells. J. Am. Chem. Soc. 142, 6051–6059 (2020).

Article  CAS  PubMed  Google Scholar 

Bach, K., Beerkens, B. L. H., Zanon, P. R. A. & Hacker, S. M. Light-activatable, 2,5-disubstituted tetrazoles for the proteome-wide profiling of aspartates and glutamates in living bacteria. ACS Cent. Sci. 6, 546–554 (2020).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gutteridge, A. & Thornton, J. M. Understanding nature’s catalytic toolkit. Trends Biochem. Sci. 30, 622–629 (2005).

Article  CAS  PubMed  Google Scholar 

Dokmanic, I., Sikic, M. & Tomic, S. Metals in proteins: correlation between the metal-ion type, coordination number and the amino-acid residues involved in the coordination. Acta Crystallogr. D Biol. Crystallogr. 64, 257–263 (2008).

Article  CAS  PubMed  Google Scholar 

Martinez-Fabregas, J., Rubio, S., Diaz-Quintana, A., Diaz-Moreno, I. & De la Rosa, M. A. Proteomic tools for the analysis of transient interactions between metalloproteins. FEBS J. 278, 1401–1410 (2011).

Article  CAS  PubMed  Google Scholar 

Parsons, W. H. et al. AIG1 and ADTRP are atypical integral membrane hydrolases that degrade bioactive FAHFAs. Nat. Chem. Biol. 12, 367–372 (2016).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Watanabe, H. et al. Histidine-mediated intramolecular electrostatic repulsion for controlling pH-dependent protein–protein interaction. ACS Chem. Biol. 14, 2729–2736 (2019).

Article  CAS  PubMed  Google Scholar 

Hindupur, S. K. et al. The protein histidine phosphatase LHPP is a tumour suppressor. Nature 555, 678–682 (2018).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Srivastava, S. et al. Histidine phosphorylation relieves copper inhibition in the mammalian potassium channel KCa3.1. Elife 5, e16093 (2016).

Article  PubMed  PubMed Central  Google Scholar 

Wilke, K. E., Francis, S. & Carlson, E. E. Activity-based probe for histidine kinase signaling. J. Am. Chem. Soc. 134, 9150–9153 (2012).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jia, S., He, D. & Chang, C. J. Bioinspired thiophosphorodichloridate reagents for chemoselective histidine bioconjugation. J. Am. Chem. Soc. 141, 7294–7301 (2019).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Takaoka, Y., Tsutsumi, H., Kasagi, N., Nakata, E. & Hamachi, I. One-pot and sequential organic chemistry on an enzyme surface to tether a fluorescent probe at the proximity of the active site with restoring enzyme activity. J. Am. Chem. Soc. 128, 3273–3280 (2006).

Article  CAS  PubMed  Google Scholar 

Li, J. et al. ACR-based probe for the quantitative profiling of histidine reactivity in the human proteome. J. Am. Chem. Soc. 145, 5252–5260 (2023).

Article  CAS  PubMed  Google Scholar 

Wan, C. et al. Histidine-specific bioconjugation via visible-light-promoted thioacetal activation. Chem. Sci. 13, 8289–8296 (2022).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chen, X. et al. Histidine-specific peptide modification via visible-light-promoted C–H alkylation. J. Am. Chem. Soc. 141, 18230–18237 (2019).

Article  CAS  PubMed  Google Scholar 

Noisier, A. F. M. et al. Late-stage functionalization of histidine in unprotected peptides. Angew. Chem. Int. Ed. 58, 19096–19102 (2019).

Nakane, K. et al. Proximity histidine labeling by umpolung strategy using singlet oxygen. J. Am. Chem. Soc. 143, 7726–7731 (2021).

Article  CAS  PubMed  Google Scholar 

Zhai, Y. et al. Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling. Nat. Commun. 13, 4906 (2022).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhao, X., Liu, J., Fan, J., Chao, H. & Peng, X. Recent progress in photosensitizers for overcoming the challenges of photodynamic therapy: from molecular design to application. Chem. Soc. Rev. 50, 4185–4219 (2021).

Article  CAS  PubMed  Google Scholar 

Xu, W. et al. Three-pronged attack by homologous far-red/NIR AIEgens to achieve 1+1+1>3 synergistic enhanced photodynamic therapy. Angew. Chem. Int. Ed. 59, 9610–9616 (2020).

Luo, H. et al. Photocatalytic chemical crosslinking for profiling RNA-protein interactions in living cells. Angew. Chem. Int. Ed. 61, e202202008 (2022).

Kitamura, T., Nakata, H., Takahashi, D. & Toshima, K. Hypocrellin B-based activatable photosensitizers for specific photodynamic effects against high H2O2-expressing cancer cells. Chem. Commun. 58, 242–245 (2021).

Baier, J. et al. Singlet oxygen generation by UVA light exposure of endogenous photosensitizers. Biophys. J. 91, 1452–1459 (2006).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Fang, Y. & Zou, P. Photocatalytic proximity labeling for profiling the subcellular organization of biomolecules. ChemBioChem 24, e202200745 (2023).

Article  CAS  PubMed  Google Scholar 

Tamura, T., Takato, M., Shiono, K. & Hamachi, I. Development of a photoactivatable proximity labeling method for the identification of nuclear proteins. Chem. Lett. 49, 145–148 (2020).

Liu, H. et al. Antigen-specific T cell detection via photocatalytic proximity cell labeling (PhoXCELL). J. Am. Chem. Soc. 144, 5517–5526 (2022).

Article  CAS  PubMed  Google Scholar 

Xu, F. et al. Hypoxia-activated NIR photosensitizer anchoring in the mitochondria for photodynamic therapy. Chem. Sci. 10, 10586–10594 (2019).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ma, H. et al. New Cy5 photosensitizers for cancer phototherapy: a low singlet–triplet gap provides high quantum yield of singlet oxygen. Chem. Sci. 12, 13809–13816 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bauer, D., Montforts, F. P., Losi, A. & Gorner, H. Photoprocesses of chlorin e6 glucose derivatives. Photochem. Photobiol. Sci. 11, 925–930 (2012).

Article  CAS  PubMed  Google Scholar 

Liu, S., Feng, G., Tang, B. Z. & Liu, B. Recent advances of AIE light-up probes for photodynamic therapy. Chem. Sci. 12, 6488–6506 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hu, F., Xu, S. & Liu, B. Photosensitizers with aggregation-induced emission: materials and biomedical applications. Adv. Mater. 30, e1801350 (2018).

Wang, P. et al. Mapping spatial transcriptome with light-activated proximity-dependent RNA labeling. Nat. Chem. Biol. 15, 1110–1119 (2019).

Article  CAS  PubMed  Google Scholar 

Toh, K. et al. Chemoproteomic identification of blue-light-damaged proteins. J. Am. Chem. Soc. 144, 20171–20176 (2022).

Article  CAS  PubMed  Google Scholar 

Hananya, N., Ye, X., Koren, S. & Muir, T. W. A genetically encoded photoproximity labeling approach for mapping protein territories. Proc. Natl Acad. Sci. USA 120, e2219339120 (2023).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Weerapana, E., Speers, A. E. & Cravatt, B. F. Tandem orthogonal proteolysis-activity-based protein profiling (TOP-ABPP)—a general method for mapping sites of probe modification in proteomes. Nat. Protoc. 2, 1414–1425 (2007).

Article  CAS  PubMed  Google Scholar 

Kong, A. T., Leprevost, F. V., Avtonomov, D. M., Mellacheruvu, D. & Nesvizhskii, A. I. MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics. Nat. Methods 14, 513–520 (2017).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Pattison, D. I., Rahmanto, A. S. & Davies, M. J. Photo-oxidation of proteins. Photochem. Photobiol. Sci. 11, 38–53 (2012).

Article  CAS  PubMed  Google Scholar 

Grassi, L. & Cabrele, C. Susceptibility of protein therapeutics to spontaneous chemical modifications by oxidation, cyclization, and elimination reactions. Amino Acids 51, 1409–1431 (2019).

Article  CAS  PubMed  Google Scholar 

Oslund, R. C. et al. Detection of cell–cell interactions via photocatalytic cell tagging. Nat. Chem. Biol. 18, 850–858 (2022).

Article  CAS  PubMed  Google Scholar 

Ryu, K. A., Kaszuba, C. M., Bissonnette, N. B., Oslund, R. C. & Fadeyi, O. O. Interrogating biological systems using visible-light-powered catalysis. Nat. Rev. Chem. 5, 322–337 (2021).

Article  CAS  PubMed  Google Scholar 

Cao, J. et al. Multiplexed CuAAC Suzuki–Miyaura labeling for tandem activity-based chemoproteomic profiling. Anal. Chem. 93, 2610–2618 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Marconi, G. & Quintana, R. Methylene blue dyeing of cellular nuclei during salpingoscopy, a new in-vivo method to evaluate vitality of tubal epithelium. Hum. Reprod. 13, 3414–3417 (1998).

Article  CAS  PubMed  Google Scholar 

Muller, M. et al. Light-mediated discovery of surfaceome nanoscale organization and intercellular receptor interaction networks. Nat. Commun. 12, 7036 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Singha Roy, S. J. et al. Photoredox-catalyzed labeling of hydroxyindoles with chemoselectivity (PhotoCLIC) for site-specific protein bioconjugation. Angew. Chem. Int. Ed. 62, e202300961 (2023).

Zheng, F., Yu, C., Zhou, X. & Zou, P. Genetically encoded photocatalytic protein labeling enables spatially-resolved profiling of intracellular proteome. Nat. Commun. 14, 2978 (2023).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Agon, V. V., Bubb, W. A., Wright, A., Hawkins, C. L. & Davies, M. J. Sensitizer-mediated photooxidation of histidine residues: evidence for the formation of reactive side-chain peroxides. Free Radic. Biol. Med. 40, 698–710 (2006).

Article  CAS  PubMed  Google Scholar 

Varadi, M. et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. 50, D439–D444 (2022).

Article  CAS  PubMed  Google Scholar 

Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Backus, K. M. et al. Proteome-wide covalent ligand discovery in native biological systems. Nature 534, 570–574 (2016).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Abbasov, M. E. et al. A proteome-wide atlas of lysine-reactive chemistry. Nat. Chem. 13, 1081–1092 (2021).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cheng, Y. et al. Co-evolution-based prediction of metal-binding sites in proteomes by machine learning. Nat. Chem. Biol. 19, 548–555 (2023).

Article  CAS  PubMed  Google Scholar 

Klein, D. J., Moore, P. B. & Steitz, T. A. The contribution of metal ions to the structural stability of the large ribosomal subunit. RNA 10, 1366–1379 (2004).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chan, Y. L., Suzuki, K., Olvera, J. & Wool, I. G. Zinc finger-like motifs in rat ribosomal proteins S27 and S29. Nucleic Acids Res. 21, 649–655 (1993).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Rivlin, A. A., Chan, Y. L. & Wool, I. G. The contribution of a zinc finger motif to the function of yeast ribosomal protein YL37a. J. Mol. Biol. 294, 909–919 (1999).

Article  CAS  PubMed  Google Scholar 

Dang, L. et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate. Nature 462, 739–744 (2009).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Perez-Alvarado, G. C. et al. Structure of the cysteine-rich intestinal protein, CRIP. J. Mol. Biol. 257, 153–174 (1996).

Article  CAS  PubMed  Google Scholar 

Imberechts, D. & Vandenberghe, W. Defects in PINK-PRKN-PARK7/DJ-1-dependent mitophagy and autosomal recessive Parkinson disease. Autophagy 19, 1872–1873 (2022).

Dolgacheva, L. P., Berezhnov, A. V., Fedotova, E. I., Zinchenko, V. P. & Abramov, A. Y. Role of DJ-1 in the mechanism of pathogenesis of Parkinson’s disease. J. Bioenerg. Biomembr. 51, 175–188 (2019).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hu, S. et al. Molecular chaperones and Parkinson’s disease. Neurobiol. Dis. 160, 105527 (2021).

Article  CAS  PubMed  Google Scholar 

Zhang, X. et al. An effective synthetic entry to fused benzimidazoles via iodocyclization. Adv. Synth. Catal. 353, 1429–1437 (2011).

Kabsch, W. & Sander, C. Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers 22, 2577–2637 (1983).

Article  CAS  PubMed  Google Scholar 

Joosten, R. P. et al. A series of PDB related databases for everyday needs. Nucleic Acids Res. 39, D411–D419 (2011).

Article  CAS  PubMed  Google Scholar 

Savojardo, C., Manfredi, M., Martelli, P. L. & Casadio, R. Solvent accessibility of residues undergoing pathogenic variations in humans: from protein structures to protein sequences. Front. Mol. Biosci. 7, 626363 (2020).

Article  CAS  PubMed  Google Scholar 

Mi, H., Muruganujan, A., Casagrande, J. T. & Thomas, P. D. Large-scale gene function analysis with the PANTHER classification system. Nat. Protoc. 8, 1551–1566 (2013).

Article  PubMed  PubMed Central  Google Scholar 

Ma, J. et al. iProX: an integrated proteome resource. Nucleic Acids Res. 47, D1211–D1217 (2019).

Li, G. Global profiling of functional histidines in live cells using small molecule photosensitizer and chemical probe relay labeling. Zenodo https://doi.org/10.5281/zenodo.10867769 (2024).

We thank the mass spectrometry, imaging, sequencing and NMR core facility in Shenzhen Bay Laboratory for their assistance in running samples and collecting data. We thank X. Li, Y. Liu, C. Wang and W. Zhong for helpful discussion and proofreading assistance. We thank Z. Li (Peking University Shenzhen Graduate School) for providing the thioacetal alkyne (TAA) probe. We are grateful for financial support of this work from Shenzhen Bay Laboratory Startup (21240041 to G.L.) and Grant from Shenzhen Bay Laboratory Open Fund (SZBL2020090501008 to G.L.). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, China

Yansheng Zhai, Xinyu Zhang, Lin Zhu, Zhe Zhang, Kailu Tian, ​​Yan Huang, Xi Yang & Gang Li

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Life Sciences, Northwest A & F University, Yangling, China

Key Laboratory of Bioorganic Chemistry and Molecular Engineering, Ministry of Education and Beijing National Laboratory for Molecular Science, College of Chemistry and Molecular Engineering, Peking University, Beijing, China

Zijing Chen & Tuoping Luo

Dingyuan Yan & Dong Wang

School of Life Sciences, University of Science and Technology of China, Hefei, China

Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, China

State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Dalian University of Technology, Dalian, China

Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China

Yu-Hsuan Tsai & Tuoping Luo

Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China

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All authors reviewed the manuscript. G.L. conceived and supervised the research. Y.Z., X.Z., X.W., Y.H., Y.-H.T. and G.L. designed and analysed biological experiments. Z.C., L.Z., T.L. and G.L. designed and analysed chemical experiments. D.Y., W.S. and D.W. provided the photosensitizers. X.Y. wrote the Python program for data processing and generated the figures. K.T. conducted the domain enrichment analysis. Z.Z. performed the solvent-accessible surface area analysis, secondary structure distribution analysis and distance measurement between histidines and active sites. Y.Z. and G.L. wrote the manuscript with input from all the authors.

The authors declare no competing interests.

Nature Chemistry thanks Shinichi Sato and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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a) Structures of small molecule photosensitizers. Eosin B (EB); Eosin Y (EY); Hypocrellin A (HA); Hypocrellin B (HB); Riboflavin (RF); Rose Bengal (RB); Dibromofluorescein (DBF); TCy5-CHO (T5C); TCy5-Btz (T5B); TCy5-Ph-3F (T5P); Methylene blue (MB); Icy-OH (IO); Methyl pyropheophorbide-a (MP); Chlorin e6 trimethyl ester (CE); TTPy-alkyne (TA); TTPy-OH (TO); DPA-SCPI (DS); b) Structures of chemical probes. N-(2-aminophenyl)pent-4-ynamide (NPA); Propargylamine (PA); 2-ethynylaniline (2-EA); 3-ethynylaniline (3-EA); 4-ethynylaniline (4-EA); 2-ethynylphenol (2-EP); 3-ethynylphenol (3-EP); 4-ethynylphenol (4-EP); 3-ethynyl-4-methylaniline (3E4MA); 3-ethynyl-4-fluoroaniline (3E-4FA); 5-ethynyl-2-fluoroaniline (5E-2FA); thioacetal alkyne (TAA); 3-ethynyl-N-methylaniline (3E-MA); 3-ethynylpyrazin-2-amine (3EP-2A); 5-ethynylpyridin-3-amine (5EP-3A); 4-ethynylpiperidine (4-EPD).

a) The distribution analysis of the PSMs for different photosensitizers in the open search. b) The distribution of singlet oxygen-sensitive amino acids in enriched peptide and human proteome. c) Labeling sites in closed search, where histidine (H) and one of the other 19 amino acids, as well as the N or C protein terminal, were jointly searched with differential masses of 229 and 247 Da. d) Box plot of percentage of histidine sites for combinations in c. The center line shows the median, while the box hinges mark the first and third quartiles. Whiskers indicate the full data range. n = 21 closed search analyses.

X-ray structure of the acyl-histamine oxidation product 7 (CCDC 2312673).

a) Histogram plot showing the distribution of distances of non-identified histidine sites to the active sites for the identified proteins. b) Calculation of the proportions of identified histidine sites, non-identified histidine sites, and histidine residues in the active site for the identified proteins, as well as the proportion of histidine residues in the active site for the human proteome. c) The distribution of solvent accessibility of non-identified histidine residues in the identified proteins. d) The distribution of solvent accessibility of histidine residues in human proteome. e) The secondary structures analysis of the distribution of non-identified histidine sites in the identified proteome. f) The secondary structures analysis of the distribution of histidine residues in human proteome.

a) Forward and reverse SILAC experiments were used to identify the metal-binding dependent histidine sites using the three additional photosensitizers: T5C, T5B, TO. b) Venn diagram illustrating the overlapping proteins identified with different photosensitizers.

a) Proteins consistently exhibiting over 1.5-fold increase in at least two forward and reverse experiments were listed. The overlapping proteins between forward and reverse experiments were selected, indicating their increased interaction with PARK7 after mitophagy. b) Western blot analysis confirming the knockdown of LUC7L3, BAG2, TMOD3, PLEC. c) Real-time PCR analysis was performed for BANF1 knockdown due to the unavailability of a suitable antibody. Data are presented as mean values +/− SD. n = 3 biologically independent experiments.

Statistical source data of supplementary figures.

Statistical source data of Fig. 2.

Statistical source data of Fig. 4.

Unprocessed western blots and gels; statistical source data of Fig. 5.

Unprocessed western blots and gels; statistical source data of Fig. 6.

Statistical source data of Extended Data Fig. 2.

Statistical source data of Extended Data Fig. 4.

Statistical source data of Extended Data Fig. 5.

Unprocessed western blots and statistical source data of Extended Data Fig. 6.

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Zhai, Y., Zhang, X., Chen, Z. et al. Global profiling of functional histidines in live cells using small-molecule photosensitizer and chemical probe relay labelling. Nat. Chem. (2024). https://doi.org/10.1038/s41557-024-01545-6

DOI: https://doi.org/10.1038/s41557-024-01545-6

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