The DOI matches its Crossref record; its reference list is not available.
A pilot study for whole proteome tagging in C. elegans
Open accessPreprint — published as 10.7554/elife.110717.4 · Paper page
Abstract
Tagging all proteins encoded by an animal genome with a fluorescent tag would open many windows to the discovery of unexpected patterns of protein expression and localization. To scale such an approach, it would be beneficial to introduce multiple, spectrally distinct fluorophore tags in parallel. As proof of concept for scalable pooled tagging, we undertook a pilot study in the nematode C. elegans, in which we set out to tag 30 different genetic loci with three different fluorophores, with 3 tags being introduced at a time. By choosing essential genes, predicted based on transcriptomics to cover a range of expression levels, we explore issues relating to disrupting gene function and visibility of tagged proteins. We demonstrate that such a tagging approach is highly efficient and indeed reveals unanticipated patterns of cellular sites of expression, as well as subcellular protein localization. We hope that this pilot study will motivate attempts to scale this tagging approach to more loci and, ultimately, the whole genome.
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
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 65
Research works printed but not linked: 59
- 10.1093/molbev/msu111 · DOI
- 10.1038/s41592-023-02085-6 · DOI
- 10.1534/genetics.114.169730 · DOI
- 10.1016/j.cub.2025.09.065 · DOI
- 10.1051/medsci/20031967725 · DOI
- 10.1093/nar/gkaf1250 · DOI
- 10.1016/j.jmb.2018.12.004 · DOI
- 10.1038/nmeth.2641 · DOI
- 10.1111/febs.16876 · DOI
- 10.1038/s41556-024-01494-9 · DOI
- 10.1038/s41592-023-01809-y · DOI
- 10.1038/s43587-024-00631-1 · DOI
- 10.1126/science.1196914 · DOI
- 10.1126/sciadv.adg0506 · DOI
- 10.1534/genetics.120.303564 · DOI
- 10.1038/s41467-019-12301-7 · DOI
- 10.1016/j.celrep.2014.01.001 · DOI
- 10.3390/biology14030279 · DOI
- 10.1093/nar/gkz920 · DOI
- 10.1016/j.neuron.2011.04.021 · DOI
- 10.1038/nmeth.f.388 · DOI
- 10.1038/nature02026 · DOI · Paper page
- 10.1016/j.devcel.2020.05.022 · DOI
- 10.1038/nprot.2014.172 · DOI
- 10.1038/s41592-019-0352-8 · DOI
- 10.64898/2025.12.02.691955 · DOI
- 10.1101/gad.352184.124 · DOI
- 10.1002/pmic.200900101 · DOI
- 10.1016/j.cell.2016.03.014 · DOI · Paper page
- 10.1126/science.290.5494.1151 · DOI · Paper page
- 10.1021/pr025551y · DOI
- 10.1126/science.aax1971 · DOI
- 10.1534/genetics.115.179382 · DOI
- 10.1002/cfg.405 · DOI
- 10.1038/s41467-024-53108-5 · DOI
- 10.1093/bioinformatics/btp184 · DOI · Paper page
- 10.1101/2025.05.14.653803 · DOI
- 10.1016/j.bpj.2011.05.020 · DOI
- 10.1038/s41586-020-2618-9 · DOI
- 10.1371/journal.pgen.1010372 · DOI
- 10.1016/j.celrep.2023.112902 · DOI
- 10.7554/elife.77918 · DOI
- 10.1038/nmeth.2019 · DOI · Paper page
- 10.1371/journal.pbio.0000012 · DOI
- 10.1895/wormbook.1.65.2 · DOI
- 10.1371/journal.pone.0028674 · DOI
- 10.1186/1471-2164-13-333 · DOI
- 10.1126/sciadv.adw1270 · DOI
- 10.1101/2025.11.21.689793 · DOI
- 10.1016/j.cell.2021.06.023 · DOI
- 10.1016/j.cub.2025.05.036 · DOI
- 10.1016/j.neuron.2006.07.024 · DOI
- 10.1016/j.cell.2021.07.017 · DOI
- 10.1038/nrg3185 · DOI · Paper page
- 10.1038/s41586-021-03778-8 · DOI · Paper page
- 10.1038/s41467-017-01250-8 · DOI
- 10.1038/nmeth.3795 · DOI
- 10.1007/978-1-0716-2181-3_9 · DOI
- 10.1038/s41592-023-01975-z · DOI
Metadata
- Authors
- Eroglu, M., & Hobert, O.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Hobert, Oliver
- Venue
- eLife
- Publisher
- openRxiv
- Published
- 2026-02-10
- Volume
- 15
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC12919041
- OpenAlex
- W7128481866
- Cited by
- 0
- References
- 65
- Type
- posted content
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Leon Levy Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- fluorescent protein tags, Caenorhabditis elegans, essential genes, protein expression patterns, subcellular protein localization
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