Evidence map›Paper›PMID 36329019›Full record

ArticleNature communications2022

Absolute protein quantification using fluorescence measurements with FPCountR.

Eszter Csibra, Guy-Bart Stan

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Absolute quantification of fluorescent protein fusions by mass spectrometry.Protein science : a publication of the Protein Society · 2026
    Article
  5. Article
  6. Article
  7. Dynamic Robust Control of Microbial Communities Using Cybergenetics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024
    Review
  16. Article
  17. Parsley: a web app for parsing data from plate readers.Bioinformatics (Oxford, England) · 2023
    Article
  18. Article
  19. 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

2 authors.

Eszter CsibraDepartment of Bioengineering, Imperial College Centre for Synthetic Biology (IC-CSynB), Imperial College London, London, SW7 2AY, UK. e.csibra@imperial.ac.uk.ORCID 0000-0003-4759-5921
Guy-Bart StanDepartment of Bioengineering, Imperial College Centre for Synthetic Biology (IC-CSynB), Imperial College London, London, SW7 2AY, UK. g.stan@imperial.ac.uk.ORCID 0000-0002-5560-902X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a generalisable method for the calibration of fluorescence readings on microplate readers, in order to convert arbitrary fluorescence units into absolute units. FPCountR relies on the generation of bespoke fluorescent protein (FP) calibrants, assays to determine protein concentration and activity, and a corresponding analytical workflow. We systematically characterise the assay protocols for accuracy, sensitivity and simplicity, and describe an 'ECmax' assay that outperforms the others and even enables accurate calibration without requiring the purification of FPs. To obtain cellular protein concentrations, we consider methods for the conversion of optical density to either cell counts or alternatively to cell volumes, as well as examining how cells can interfere with protein counting via fluorescence quenching, which we quantify and correct for the first time. Calibration across different instruments, disparate filter sets and mismatched gains is demonstrated to yield equivalent results. It also reveals that mCherry absorption at 600 nm does not confound cell density measurements unless expressed to over 100,000 proteins per cell. FPCountR is presented as pair of open access tools (protocol and R package) to enable the community to use this method, and ultimately to facilitate the quantitative characterisation of synthetic microbial circuits.

Indexed as

ProteinsCalibrationFluorescenceProteins

Identifiers

PMID36329019
PMCPMC9633595

What OpenQuestion holds

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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.