Evidence map›Paper›PMID 40378958›Full record

ReviewThe Journal of biological chemistry2025

Fluorescent labeling of proteins in vitro and in vivo using encoded peptide tags.

Maya de Luis, Shuwa Xu, Kai Zinn

Abstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. WormTagDB: A Systematic Survey of Endogenously Tagged Proteins inbioRxiv : the preprint server for biology · 2025
    Article
  6. FETCH enables fluorescent labeling of membrane proteins in vivo with spatiotemporal control inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Maya de LuisDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Shuwa XuDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Kai ZinnDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA. Electronic address: zinnk@caltech.edu.

Funding

MOLECULAR GENETICS OF DROSOPHILA CNS DEVELOPMENTR01NS028182 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Engin Ozkan, KAI G ZINN · 1990 to 2026
$7.3M
NINDS NIH HHS R01 NS028182
6 · The paper itself

Abstract

Epitope tags are a simple and versatile way to label proteins, as their sequences can easily be inserted into protein coding sequences so that the expressed proteins will bear the tag(s). These tags can be used to identify and purify proteins in vitro using Western blots, flow cytometry, affinity chromatography, and other techniques. When labeled with a fluorescent probe, tagged proteins can be visualized in live or fixed cells or tissues using fluorescence microscopy, allowing for the study of protein dynamics. The most widely used epitope tags are those that have affinity to an antibody, which can be used in fixed-sample immunohistochemistry studies. While this will allow insight into a protein's localization, it will not provide any information on its dynamics. Other tags were developed with the intended use in live imaging. In this mini review, we discuss epitope tags that have affinity to antibodies, nanobodies, and small molecules and their use in fluorescence microscopy for fixed and live imaging.

Indexed as

EpitopesFluorescent DyesPeptidesProteinsAnimalsHumansMicroscopy, FluorescenceEpitopesFluorescent DyesPeptidesProteinsantibodyclick chemistryconfocal microscopyfluorescencein vivo imagingnanobodyprotein labeling

Identifiers

PMID40378958
PMCPMC12179601

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.