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ABSTRACT Covalent modulators and covalent degrader molecules have emerged as drug modalities with tremendous therapeutic potential. Toward realizing this potential, mass spectrometry-based
chemoproteomic screens have generated proteome-wide maps of potential druggable cysteine residues. However, beyond these direct cysteine-target maps, the full scope of direct and indirect
activities of these molecules on cellular processes and how such activities contribute to reported modes of action, such as degrader activity, remains to be fully understood. Using
chemoproteomics, we identified a cysteine-reactive small molecule degrader of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nonstructural protein 14 (nsp14), which effects
degradation through direct modification of cysteines in both nsp14 and in host protein disulfide isomerases. This degrader activity was further potentiated by generalized
electrophile-induced global protein ubiquitylation, proteasome activation and widespread aggregation and depletion of host proteins, including the formation of stress granules. Collectively,
we delineate the wide-ranging impacts of cysteine-reactive electrophilic compounds on cellular proteostasis processes. Access through your institution Buy or subscribe This is a preview of
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* Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS A COVALENT CHEMICAL PROBE FOR _CHIKUNGUNYA_ NSP2 CYSTEINE
PROTEASE WITH ANTIALPHAVIRAL ACTIVITY AND PROTEOME-WIDE SELECTIVITY Article Open access 01 March 2025 TARGETED DEGRADATION OF EXTRACELLULAR MITOCHONDRIAL ASPARTYL-TRNA SYNTHETASE MODULATES
IMMUNE RESPONSES Article Open access 22 July 2024 DEUBIQUITINASE-TARGETING CHIMERAS FOR TARGETED PROTEIN STABILIZATION Article 24 February 2022 DATA AVAILABILITY All supporting data for this
study can be found within the article and Supplementary Information. The MS data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the
Proteomics Identification Database (PRIDE)99 partner repository with the dataset identifiers PXD046278 (isoTOP–ABPP data in Figs. 1 and 5), PXD046393 (all other proteomic data corresponding
to Figs. 3–6) and PXD053865 (PDIA6-His AP–MS and Extended Data Fig. 4 proteomics). Publicly available databases used are the UniProtKB Consortium (https://www.uniprot.org/), the 2021 release
of the KEGG pathway database (https://www.genome.jp/kegg/pathway.html) and the 2021 release of the GO Resource (https://geneontology.org/) Molecular Function, Cellular Component and
Biological Process classes. Source data are provided as source data files for Figs. 1–6 and Extended Data Figs. 2, 3, 4, 7 and 9 and within the Supplementary Information for Supplementary
Figs. 1–30. Source data are provided with this paper. CODE AVAILABILITY All code used for this work is available at https://github.com/BackusLab. REFERENCES * Boatner, L. M., Palafox, M. F.,
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ACKNOWLEDGEMENTS This study was supported by a Beckman Young Investigator Award (to K.M.B.), DOD-Advanced Research Projects Agency (D19AP00041 to K.M.B.), National Institutes of Health (DP2
GM146246-02 to K.M.B.), Packard Fellowship (2020-71388 to K.M.B.) and NIGMS UCLA Chemistry Biology Interface (T32GM136614 to A.R.J.). We thank I. Zohn (Center for Genetic Medicine Research,
Children's National Research and Innovation) for providing the HECTD1 plasmid. We additionally thank all members of the Backus Lab for helpful suggestions. We additionally thank Dr. S.
Neumann (Martin Lab, UCLA) and the UCLA Broad Stem Cell Resource Center Microscopy Core for assistance with microscopy. Figure 1a was made using Biorender.com. AUTHOR INFORMATION Author
notes * These authors contributed equally: Ashley R. Julio, Flowreen Shikwana. AUTHORS AND AFFILIATIONS * Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los
Angeles, CA, USA Ashley R. Julio, Flowreen Shikwana, Cindy Truong, Nikolas R. Burton, Emil R. Dominguez III, Alexandra C. Turmon, Jian Cao & Keriann M. Backus * Department of Chemistry
and Biochemistry, UCLA, Los Angeles, CA, USA Ashley R. Julio, Flowreen Shikwana, Nikolas R. Burton, Alexandra C. Turmon & Keriann M. Backus * DOE Institute for Genomics and Proteomics,
UCLA, Los Angeles, CA, USA Keriann M. Backus * Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA Keriann M. Backus * Eli and Edythe Broad
Center of Regenerative Medicine and Stem Cell Research, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA Keriann M. Backus Authors * Ashley R. Julio View author publications You
can also search for this author inPubMed Google Scholar * Flowreen Shikwana View author publications You can also search for this author inPubMed Google Scholar * Cindy Truong View author
publications You can also search for this author inPubMed Google Scholar * Nikolas R. Burton View author publications You can also search for this author inPubMed Google Scholar * Emil R.
Dominguez III View author publications You can also search for this author inPubMed Google Scholar * Alexandra C. Turmon View author publications You can also search for this author inPubMed
Google Scholar * Jian Cao View author publications You can also search for this author inPubMed Google Scholar * Keriann M. Backus View author publications You can also search for this
author inPubMed Google Scholar CONTRIBUTIONS A.R.J., F.S. and K.M.B. conceived of the project. A.R.J., F.S. and K.M.B. designed experiments. A.R.J. and F.S. performed, collected and analyzed
data for all biochemical experiments, including bulk proteomics and protein-directed ABPP, western blot analyses, AP–MS proteomics and cloning of plasmids. F.S. performed, collected and
analyzed data for all isoTOP–ABPP experiments with the help of C.T. and performed all knockdown experiments. A.R.J. performed, collected and analyzed all data for all imaging experiments.
A.C.T. performed, collected and analyzed data for IncuCyte Live-Cell Imaging. N.R.B., E.D. and J.C. performed syntheses of JC19 and all analogs. C.T. developed and implemented software.
A.R.J. and F.S. contributed to the to the preparation and design of figures. A.R.J., F.S. and K.M.B. wrote the manuscript with assistance from all authors. CORRESPONDING AUTHOR
Correspondence to Keriann M. Backus. ETHICS DECLARATIONS COMPETING INTERESTS K.M.B. is a member of the advisory board at Matchpoint Therapeutics. The remaining authors declare no competing
interests. PEER REVIEW PEER REVIEW INFORMATION _Nature Chemical Biology_ thanks Xiaoyu Zhang and the other, anonymous, reviewers 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 COMPOUND STRUCTURES. Shown are the structures of all compounds used for the study, ordered in the order of appearance in the text. EXTENDED DATA FIG. 2 JC19 ANALOGS HAVE VARYING
DEGREES OF NSP14 DEPLETION EFFICIENCY. (A) Chemical structures of JC19 analogs. Cysteine-reactive chloroacetamide warhead is colored pink, cysteine-reactive acrylamide warhead is colored
blue and sulfonyl fluoride warhead is colored orange. (B–F) HEK293T cells transiently expressing nsp14-FLAG were treated with the indicated concentrations of JC18 (B), NB92 (C), NB177 (D),
NB179 (E) or JC17 (F) for 0.5 h, and the soluble lysate fraction assayed by immunoblot. (G) HEK293T cells transiently expressing nsp14-FLAG were treated with 100 µm of the indicated
compounds for the indicated times, and the soluble lysate fraction was assayed by immunoblot. All western blot data are representative of 2 independent experiments. Source data EXTENDED DATA
FIG. 3 JC19 INDUCES LINKAGE OF PREDOMINANTLY K48-LINKED POLYUBIQUITIN CHAINS ON NSP14. (A) HEK293T cells transiently expressing nsp14-FLAG were treated with the indicated compounds, lysed
and immunoprecipitated on FLAG resin. (B) HEK293T cells transiently expressing nsp14-FLAG or the indicated ubiquitin construct were treated with DMSO or JC19 (50 µm, 1 h), lysed and
immunoprecipitated on FLAG resin. Immunoblot analysis was used to probe FLAG and ubiquitin expression for the immunoprecipitated fraction. Ubiquitin constructs used include WT (wild-type),
K48R, K63R, K48 (all ubiquitin lysines mutated to arginine except K48) and K63 (all ubiquitin lysines mutated to arginine except K63). (C) Same immunoblot as shown in B, including inputs,
loading control and full-length ubiquitin blot to depict polyubiquitin smears. Polyubiquitylation is primarily due to K48-linked ubiquitin, as indicated by the attenuation (K48R) or
abrogation (K63) of the high-molecular-weight polyubiquitin smear when using ubiquitin constructs containing a mutant K48. (D) ‘Heavy’ SILAC HEK293T cells transiently expressing nsp14-FLAG
were treated with 100 µm JC19 for 1 h (_n_ = 3), while ‘light’ SILAC HEK293T cells transiently expressing nsp14-FLAG were treated with an equal volume of DMSO for 1 h (_n_ = 3). Lysates were
combined, immunoprecipitated on FLAG resin, proteolyzed and subjected to LC–MS/MS analysis. Mean log2(H/L) ratios of detected peptides are depicted, highlighting all nsp14 peptides and
ubiquitinated nsp14 peptides (GlyGly modified). (E) Workflow for AP–MS experiments. All MS data can be found in Supplementary Table 2. Western blot data are representative of 2 independent
experiments. Source data EXTENDED DATA FIG. 4 COMMON CELL STRESS-SENSING PATHWAYS ARE NOT RESPONSIBLE FOR NSP14 DEPLETION. (A) HEK293T cells transiently expressing nsp14-FLAG were treated
with the indicated concentrations of JC19 (1 h). Immunoblot analysis was used to visualize abundance of nsp14 and induction of NRF2 expression in the soluble lysate fraction (0.3% CHAPS in
PBS) for each condition. (B) HEK293T cells transiently expressing nsp14-FLAG were pretreated with either DMSO, tunicamycin (12 µg/mL, 8 h), thapsigargin (2 µm, 8 h) or rapamycin (1 µm, 8 h),
and then either treated with DMSO or JC19 (50 µm, 1 h). Immunoblot analysis was used to visualize abundance of nsp14 and induction of UPR markers in the soluble lysate fraction (0.3% CHAPS
in PBS) for each condition. (C) HEK293T cells were treated with the indicated compounds, and immunoblot analysis was used to visualize induction of UPR markers (lysed in RIPA). (D–F) HEK293T
cells were treated with vehicle DMSO, thapsigargin (2 µm, 15 h) or AA147 (10 µm, 15 h; _n_ = 3 per group; (D) or DMSO, 10 µm JC19 for 1 h or 10 µm JC19 for 15 h (_n_ = 3 per group; (E) or
DMSO, 50 µm JC19 for 1 h or 50 µm JC19 for 15 h (_n_ = 3 per group; (F) and lysed in RIPA lysis buffer. Bulk proteomics sample preparation and label-free quantification proteomics were used
to measure intensities of proteins and p-values generated for each treatment compared to vehicle using a Student’s unpaired t-test. −log10(p-values) were plotted and significance of BiP
(HSPA5) and PDIA4 highlighted. All MS data can be found in Supplementary Table 2. Panel A is representative of one independent measurement, and panels B and C are representative of three
independent measurements. Source data EXTENDED DATA FIG. 5 PDIA6-HIS PULLDOWN. (A) HEK293T cells transiently expressing PDIA6-His protein were treated with DMSO, NB92 or JC19 for 1 h at 50
µm. Cells were lysed, and each condition was split into 2 tubes, one treated with TCEP and one without TCEP. Samples were then incubated with Ni-NTA resin, washed, eluted and prepared for
LC–MS/MS analysis. Proteins significantly enriched by JC19 in both the +TCEP and −TCEP conditions were identified to be true cross-linked proteins to PDIA6. Proteins enriched by JC19 only in
the −TCEP condition but not +TCEP condition were identified to be linked to PDIA6 by disulfide bond. (B) HEK293T cells transiently expressing PDIA6-His8x were affinity purified under
denaturing conditions either in the absence (black border labels) or presence of TCEP reductant (green border labels). Volcano plot displays comparison between enriched proteins for groups
treated with DMSO versus NB92 (50 µm, 1 h) with black colored dots for proteins showing sensitivity to TCEP (_n_ = 3 for each group). An unpaired Student’s t-test was performed to calculate
p-values. All MS data can be found in Supplementary Table 3. EXTENDED DATA FIG. 6 HIGH-RATIO CYSTEINES AS IDENTIFIED BY ISOTOP–ABPP BELONG TO PROTEINS SPANNING VARIOUS SUBCELLULAR
COMPARTMENTS. Heatmap depicting unlogged MS1 isoTOP–ABPP cysteine ratios for high coverage cysteines belonging to proteins with multiple cysteines identified. Cell compartment annotations
from UniProt have been provided for each cysteine identifier. For generation of data, each compound was used in triplicate (n = 3) at 100 µm for 1 h (exception: 4 h treatment for EN450) in
nsp14-expressing HEK293T cells. MS data can be found in Supplementary Table 4. EXTENDED DATA FIG. 7 DELINEATION OF AGGREGATION AND DEGRADATION PROPERTIES OF JC19, EN450 AND NB001. (A)
HEK293T cells transiently expressing nsp14-FLAG were treated with DMSO, a low dose of JC19 (25 µm for 0.5 h) or a high dose of JC19 (100 µm for 1 h) and subjected to immunoblot analysis.
Cells were lysed in 0.3% CHAPS in PBS to generate the soluble lysate, and after clearance by centrifugation, the insoluble debris was solubilized in 8 M urea in PBS to generate ‘insoluble’
lysate. (B) HEK293T cells transiently expressing nsp14-FLAG were treated with the indicated concentrations of JC19 or NB001 for 0.5 h or EN450 for 3 h, and the insoluble lysate was analyzed
by immunoblot. (C) Quantification of nsp14 intensity from replicate western blots as in B. Data are presented as mean ± s.d. (_n_ = 3 per data point). D,E, Nsp14-expressing HEK293T cells
were treated with the indicated concentrations of JC19 for 0.5 h (D) or EN450 for 3 h (E), and were then separated into 3 fractions: ‘soluble’ fraction (cells lysed in 0.3% CHAPS and cleared
by centrifugation), ‘insoluble’ fraction (insoluble debris from CHAPS lysis re-solubilized using 8 M urea) and ‘total’ fraction (cells lysed in 8 M urea with 3× freeze/thaw). (F) HEK293T
cells transiently expressing nsp14-FLAG were treated with the indicated concentrations of JC19 or NB001 for 0.5 h or EN450 for 3 h, and the soluble and insoluble lysates were analyzed by
immunoblot. (G) Quantification of nsp14 intensity from replicate western blots as in F. Data are presented as mean ± s.d. (_n_ = 3 per data point). All western blot data is representative of
three independent measurements. Source data EXTENDED DATA FIG. 8 VARIOUS CYSTEINE-REACTIVE ELECTROPHILES INDUCE STRESS GRANULE FORMATION. (A) U2OS cells stably expressing V5-tagged G3BP1
were treated with DMSO, RA190 (10 µm, 1 h), sulforaphane (50 µm, 1 h), bardoxolone (10 µm, 1 h), ibrutinib (10 µm, 14 h), low afatinib (100 nM for 14 h), high afatinib (10 µm, 1 h) or
auranofin (10 µm, 1 h). Cells were then fixed, permeabilized and subjected to immunofluorescence microscopy. (B) U2OS cells stably expressing V5-tagged G3BP1 were treated with the indicated
concentration of afatinib for 4 h. Cells were then fixed, permeabilized and subjected to immunofluorescence microscopy. (C) Immunofluorescence microscopy of G3BP1 and RANBP2 in response to
DMSO, JC19 (100 µm, 1 h) and EN450 (100 µm, 1 h). (D) Immunofluorescence microscopy of G3BP1 and PSMB2 in response to DMSO and JC19 (100 µm, 1 h). Images were acquired on an LSM880 confocal
microscope at ×63 objective and 2× manual zoom. All scale bars = 10 µm. All images are representative of two independent measurements. EXTENDED DATA FIG. 9 GENETIC KNOCKDOWN OF PDIA3 AND
PDIA6 LEAD TO INCREASES IN AGGREGATED PROTEINS (AGGRESOMES). (A) Immunofluorescence microscopy of HEK293T cells transfected with either a non-targeting control (NTC) siRNA for 48 h, NTC
siRNA for 48 h and treated with MG132 (10 µm, 8 h), PDIA3 siRNA for 48 h or PDIA6 siRNA for 48 h, using p62 as a marker for aggresomes/aggregated proteins. Images were acquired on an LSM880
confocal microscope at ×63 objective and 2× manual zoom. All scale bars = 10 µm. (B) Immunoblot analysis PDIA3 and PDIA6 knockdown efficiency for the cells used in A and Fig. 6e. All data
are representative of three independent measurements. Source data EXTENDED DATA FIG. 10 RECOMMENDATIONS FOR BEST PRACTICES. Suggested steps to facilitate delineation of on- versus off-target
activities of covalent fragments. SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION Supplementary Figs. 1–30, supporting data of Supplementary Figs. 2–11, 14–16, 21, 23–26 (uncropped and
unprocessed western blots), Supplementary Tables 6–10 and Supplementary Note. REPORTING SUMMARY SUPPLEMENTARY TABLE 1 MS datasets corresponding to Fig. 1. SUPPLEMENTARY TABLE 2 MS datasets
corresponding to Fig. 3. SUPPLEMENTARY TABLE 3 MS datasets corresponding to Fig. 4. SUPPLEMENTARY TABLE 4 MS datasets corresponding to Fig. 5. SUPPLEMENTARY TABLE 5 MS datasets corresponding
to Fig. 6. SUPPLEMENTARY TABLE 11 Annotation of all files uploaded to the PRIDE. SUPPLEMENTARY DATA 1 Raw data corresponding to data shown in Supplementary Fig. 2b. SUPPLEMENTARY DATA 2 Raw
data corresponding to data shown in Supplementary Fig. 11b. SOURCE DATA SOURCE DATA FIG. 1 Uncropped blots. SOURCE DATA FIG. 2 Uncropped blots. SOURCE DATA FIG. 2 Raw data corresponding to
data shown in Fig. 2e. SOURCE DATA FIG. 3 Uncropped blots. SOURCE DATA FIG. 4 Uncropped blots. SOURCE DATA FIG. 4 Raw data corresponding to data shown in Fig. 4k. SOURCE DATA FIG. 5
Uncropped blots. SOURCE DATA FIG. 5 Raw data corresponding to data shown in Fig. 5h. SOURCE DATA FIG. 6 Raw data corresponding to data shown in Fig. 6c. SOURCE DATA EXTENDED DATA FIG. 2
Uncropped blots. SOURCE DATA EXTENDED DATA FIG. 3 Uncropped blots. SOURCE DATA EXTENDED DATA FIG. 4 Uncropped blots. SOURCE DATA EXTENDED DATA FIG. 7 Source data. SOURCE DATA EXTENDED DATA
FIG. 7 Uncropped blots. SOURCE DATA EXTENDED DATA FIG. 9 Uncropped blots. RIGHTS AND PERMISSIONS Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to
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terms of such publishing agreement and applicable law. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Julio, A.R., Shikwana, F., Truong, C. _et al._ Delineating
cysteine-reactive compound modulation of cellular proteostasis processes. _Nat Chem Biol_ 21, 693–705 (2025). https://doi.org/10.1038/s41589-024-01760-9 Download citation * Received: 16
November 2023 * Accepted: 23 September 2024 * Published: 24 October 2024 * Issue Date: May 2025 * DOI: https://doi.org/10.1038/s41589-024-01760-9 SHARE THIS ARTICLE Anyone you share the
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