Rapid cell type-specific nascent proteome labeling in Drosophila
Open accessPublished version of a preprint
Abstract
Controlled protein synthesis is required to regulate gene expression and is often carried out in a cell type-specific manner. Protein synthesis is commonly measured by labeling the nascent proteome with amino acid analogs or isotope-containing amino acids. These methods have been difficult to implement in vivo as they require lengthy amino acid replacement procedures. O-propargyl-puromycin (OPP) is a puromycin analog that incorporates into nascent polypeptide chains. Through its terminal alkyne, OPP can be conjugated to a fluorophore-azide for directly visualizing nascent protein synthesis, or to a biotin-azide for capture and identification of newly-synthesized proteins. To achieve cell type-specific OPP incorporation, we developed phenylacetyl-OPP (PhAc-OPP), a puromycin analog harboring an enzyme-labile blocking group that can be removed by penicillin G acylase (PGA). Here, we show that cell type-specific PGA expression in Drosophila can be used to achieve OPP labeling of newly-synthesized proteins in targeted cell populations within the brain. Following a brief 2 hr incubation of intact brains with PhAc-OPP, we observe robust imaging and affinity purification of OPP-labeled nascent proteins in PGA-targeted cell populations. We apply this method to show a pronounced age-related decline in neuronal protein synthesis in the fly brain, demonstrating the capability of PhAc-OPP to quantitatively capture in vivo protein synthesis states. This method, which we call POPPi ( P GA-dependent OPP i ncorporation), should be applicable for rapidly visualizing protein synthesis and identifying nascent proteins synthesized under diverse physiological and pathological conditions with cellular specificity in vivo.
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
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.
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1× · see citing works
“2 INTRODUCTION 23 Controlled protein synthesis plays a fundamental role in orchestrating gene 24 expression, and cellular protein amounts are thought to be primarily determined at the 25 level of translation (1).”
BackgroundApplication of a translational profiling approach for the comparative analysis of CNS cell types
Doyle, J. P., Dougherty, J. D., Heiman, M., Schmidt, E. F., Stevens, T. R., Ma, G., Bupp, S., Shrestha, P., Shah, R. D., Doughty, M. L., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.029 · Cited by 912 · see citing works
Mizielinska, S., Grönke, S., Niccoli, T., Ridler, C. E., Clayton, E. L., Devoy, A., Moens, T., Norona, F. E., Woollacott, I. O. C., Pietrzyk, J., et al. (2014) · Science · doi:10.1126/science.1256800 · Cited by 740 · see citing works
Branching out: mechanisms of dendritic arborization
Jan, Y.-N., & Jan, L. Y. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2836 · Cited by 693 · see citing works
Autism-related deficits via dysregulated eIF4E-dependent translational control
Gkogkas, C. G., Khoutorsky, A., Ran, I., Rampakakis, E., Nevarko, T., Weatherill, D. B., Vasuta, C., Yee, S., Truitt, M., Dallaire, P., et al. (2013) · Nature · doi:10.1038/nature11628 · Cited by 522 · see citing works
Cell-type-specific metabolic labeling of nascent proteomes in vivo
Alvarez-Castelao, B., Schanzenbächer, C. T., Hanus, C., Glock, C., tom Dieck, S., Dörrbaum, A. R., Bartnik, I., Nassim-Assir, B., Ciirdaeva, E., Mueller, A., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.4016 · Cited by 219 · see citing works
Translational Control in the Brain in Health and Disease
Sossin, W. S., & Costa-Mattioli, M. (2019) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a032912 · Cited by 138 · see citing works
Decoding Parkinson’s Disease Pathogenesis: The Role of Deregulated mRNA Translation
Martin, I. (2016) · Journal of Parkinson’s Disease · doi:10.3233/jpd-150738 · Cited by 23 · see citing works
Self-citation
Flagged first, then by citations
- Authors
- Villalobos-Cantor, S., Barrett, R. M., Condon, A. F., Arreola-Bustos, A., Rodriguez, K. M., Cohen, M. S., & Martin, I.
- Affiliations
- Oregon Health & Science University (US)
- Corresponding author
- Martin, Ian
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2023-04-24
- Volume
- 12
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC10125018
- OpenAlex
- W4366819759
- Cited by
- 13
- References
- 8
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 5
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- OHSU Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Organic Chemistry › Click Chemistry and Applications
- Keywords
- penicillin G acylase, Drosophila brain, Poppi
- MeSH terms
- Amino Acids, Animals, Azides, Drosophila, Puromycin, Proteome
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