Evidence map›Paper›PMID 30799881›Full record

ArticleJournal of physics D: Applied physics2019

Choosing the right label for single-molecule tracking in live bacteria: side-by-side comparison of photoactivatable fluorescent protein and Halo tag dyes.

Nehir Banaz, Jarno Mäkelä, Stephan Uphoff

Abstract read
In one paragraph

Article in Journal of physics D: Applied physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Case Study: Illuminating the Nanoscale World of Microbiology.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  4. Article
  5. On-Target Photoassembly of Pyronin Dyes for Super-Resolution Microscopy.Angewandte Chemie (International ed. in English) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Choosing the Probe for Single-Molecule Fluorescence Microscopy.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Optimizing Long-Term Live Cell Imaging.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  20. 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.

Nehir BanazDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.ORCID 0000-0003-2384-0857
Jarno MäkeläDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.
Stephan UphoffDepartment of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, United Kingdom.ORCID 0000-0002-3579-0888

Funding

Medical Research Council MR/K01577X/1Wellcome Trust
6 · The paper itself

Abstract

Visualizing and quantifying molecular motion and interactions inside living cells provides crucial insight into the mechanisms underlying cell function. This has been achieved by super-resolution localization microscopy and single-molecule tracking in conjunction with photoactivatable fluorescent proteins (PA-FPs). An alternative labelling approach relies on genetically-encoded protein tags with cell-permeable fluorescent ligands which are brighter and less prone to photobleaching than fluorescent proteins but require a laborious labelling process. Either labelling method is associated with significant advantages and disadvantages that should be taken into consideration depending on the microscopy experiment planned. Here, we describe an optimised procedure for labelling Halo-tagged proteins in live

Indexed as

DNA-binding proteinsEscherichia colifluorophoresHalo tagphotoactivatable fluorescent proteinsingle-molecule trackingsuper-resolution microscopy

Identifiers

PMID30799881
PMCPMC6372142

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Registered trials

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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.