Evidence map›Paper›PMID 31133640›Full record

ArticleScientific reports2019

Quantification of very low-abundant proteins in bacteria using the HaloTag and epi-fluorescence microscopy.

Alessia Lepore, Hannah Taylor, Dirk Landgraf, Burak Okumus, Sebastián Jaramillo-Riveri, Lorna McLaren, Somenath Bakshi, Johan Paulsson, M El Karoui

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
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  8. Experimental Approaches to Visualize Effector Protein Translocation During Host-Pathogen Interactions.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  9. Review
  10. CaCommunications biology · 2024
    Article
  11. Article
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  16. Review
  17. Recent biomedical advances enabled by HaloTag technology.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2022
    Article
  18. Article
  19. Article
  20. Review
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

9 authors at 2 institutions in 2 countries.

Alessia LeporeInstitute of Cell Biology and SynthSys, University of Edinburgh, EH9 3FF, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9644-521X
Hannah TaylorInstitute of Cell Biology and SynthSys, University of Edinburgh, EH9 3FF, Edinburgh, UK.
Dirk LandgrafDepartment of System Biology, Harvard Medical School, 02115, Boston, Massachusetts, USA.
Burak OkumusDepartment of System Biology, Harvard Medical School, 02115, Boston, Massachusetts, USA.
Sebastián Jaramillo-RiveriInstitute of Cell Biology and SynthSys, University of Edinburgh, EH9 3FF, Edinburgh, UK.
Lorna McLarenInstitute of Cell Biology and SynthSys, University of Edinburgh, EH9 3FF, Edinburgh, UK.
Somenath BakshiDepartment of System Biology, Harvard Medical School, 02115, Boston, Massachusetts, USA.
Johan PaulssonDepartment of System Biology, Harvard Medical School, 02115, Boston, Massachusetts, USA.
M El KarouiInstitute of Cell Biology and SynthSys, University of Edinburgh, EH9 3FF, Edinburgh, UK. Meriem.Elkaroui@ed.ac.uk.ORCID http://orcid.org/0000-0003-2522-613X
Harvard University · USUniversity of Edinburgh · GB

Funding

Limits and Trade-offs of Feedback ControlR01GM081563 · NIGMS · HARVARD MEDICAL SCHOOL · PI Johan Paulsson · 2008 to 2026
$4.9M
NIGMS NIH HHS R01 GM081563Wellcome TrustWellcome Trust (Wellcome) 205008/Z/16/Z
6 · The paper itself

Abstract

Cell biology is increasingly dependent on quantitative methods resulting in the need for microscopic labelling technologies that are highly sensitive and specific. Whilst the use of fluorescent proteins has led to major advances, they also suffer from their relatively low brightness and photo-stability, making the detection of very low abundance proteins using fluorescent protein-based methods challenging. Here, we characterize the use of the self-labelling protein tag called HaloTag, in conjunction with an organic fluorescent dye, to label and accurately count endogenous proteins present in very low numbers (<7) in individual Escherichia coli cells. This procedure can be used to detect single molecules in fixed cells with conventional epifluorescence illumination and a standard microscope. We show that the detection efficiency of proteins labelled with the HaloTag is ≥80%, which is on par or better than previous techniques. Therefore, this method offers a simple and attractive alternative to current procedures to detect low abundance molecules.

Indexed as

Escherichia coliEscherichia coli ProteinsFeasibility StudiesFluorescent DyesLimit of DetectionMicroscopy, FluorescenceMolecular ProbesRhodaminesSingle Molecule ImagingStaining and LabelingEscherichia coli ProteinsFluorescent DyesMolecular ProbesRhodaminestetramethylrhodamine

Identifiers

PMID31133640
PMCPMC6536506
OpenAlexW2951353300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.