The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Labeling Preferences of Diazirines with Protein Biomolecules
Open accessAbstract
Diazirines are widely used in photoaffinity labeling (PAL) to trap noncovalent interactions with biomolecules. However, design and interpretation of PAL experiments is challenging without a molecular understanding of the reactivity of diazirines with protein biomolecules. Herein, we report a systematic evaluation of the labeling preferences of alkyl and aryl diazirines with individual amino acids, single proteins, and in the whole cell proteome. We find that alkyl diazirines exhibit preferential labeling of acidic amino acids in a pH-dependent manner that is characteristic of a reactive alkyl diazo intermediate, while the aryl-fluorodiazirine labeling pattern reflects reaction primarily through a carbene intermediate. From a survey of 32 alkyl diazirine probes, we use this reactivity profile to rationalize why alkyl diazirine probes preferentially enrich highly acidic proteins or those embedded in membranes and why probes with a net positive charge tend to produce higher labeling yields in cells and in vitro. These results indicate that alkyl diazirines are an especially effective chemistry for surveying the membrane proteome and will facilitate design and interpretation of biomolecular labeling experiments with diazirines.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Ligand and Target Discovery by Fragment-Based Screening in Human Cells
Parker, C. G., Galmozzi, A., Wang, Y., Correia, B. E., Sasaki, K., Joslyn, C. M., Kim, A. S., Cavallaro, C. L., Lawrence, R. M., Johnson, S. R., et al. (2017) · Cell · doi:10.1016/j.cell.2016.12.029 · Cited by 439
A Review on Quantitative Multiplexed Proteomics
Pappireddi, N., Martin, L., & Wühr, M. (2019) · ChemBioChem · doi:10.1002/cbic.201800650 · Cited by 299
Expedited mapping of the ligandable proteome using fully functionalized enantiomeric probe pairs
Wang, Y., Dix, M. M., Bianco, G., Remsberg, J. R., Lee, H.-Y., Kalocsay, M., Gygi, S. P., Forli, S., Vite, G., Lawrence, R. M., et al. (2019) · Nature Chemistry · doi:10.1038/s41557-019-0351-5 · Cited by 179
Gao, J., Mfuh, A., Amako, Y., & Woo, C. M. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.7b11639 · Cited by 102
Self-citation
Cited by
Protein Secondary Structure Patterns in Short‐Range Cross‐Link Atlas
Vetrano, A., Di Ianni, A., Di Fonte, N., Dell'Orletta, G., Reale, S., Daidone, I., & Iacobucci, C. (2025) · Angewandte Chemie International Edition · doi:10.1002/anie.202507348 · Cited by 1
Metadata
- Authors
- West, A. V., Muncipinto, G., Wu, H.-Y., Huang, A. C., Labenski, M. T., Jones, L. H., & Woo, C. M.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-04-20
- Volume
- 143
- Issue
- 17
- Pages
- 6691-6700
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W3119123443
- Cited by
- 203
- References
- 5
- FWCI
- 11.19
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Labeling Preferences of Diazirines with Protein Biomolecules. https://app.cochat.ai/papers/10.1021/jacs.1c02509
- The paper
- West, A. V., Muncipinto, G., Wu, H.-Y., Huang, A. C., Labenski, M. T., Jones, L. H., & Woo, C. M. (2021). Labeling Preferences of Diazirines with Protein Biomolecules. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.1c02509
Data sources
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.