Evidence map›Paper›PMID 39117875›Full record

ArticleNature methods2024

ProDOL: a general method to determine the degree of labeling for staining optimization and molecular counting.

Stanimir Asenov Tashev, Jonas Euchner, Klaus Yserentant, Siegfried Hänselmann, Felix Hild, Wioleta Chmielewicz, Johan Hummert, Florian Schwörer, Nikolaos Tsopoulidis, Stefan Germer and 4 more

Abstract read
In one paragraph

Article in Nature methods, 2024. 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
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  6. 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

14 authors.

Stanimir Asenov Tashev *Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Jonas Euchner *Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0009-0007-4678-1841
Klaus Yserentant *Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0001-9746-6912
Siegfried HänselmannInstitute of Physical Chemistry, Heidelberg University, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9006-6625
Felix HildInstitute of Physical Chemistry, Heidelberg University, Heidelberg, Germany.
Wioleta ChmielewiczInstitute of Physical Chemistry, Heidelberg University, Heidelberg, Germany.
Johan HummertInstitute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Florian SchwörerDivision Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0003-4138-1412
Nikolaos TsopoulidisDepartment of Infectious Diseases, Integrative Virology, University Hospital Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8819-4350
Stefan GermerInstitute of Physical Chemistry, Heidelberg University, Heidelberg, Germany.
Zoe SaßmannshausenInstitute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.ORCID http://orcid.org/0009-0006-9976-8408
Oliver T FacklerDepartment of Infectious Diseases, Integrative Virology, University Hospital Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-2982-4209
Ursula KlingmüllerDivision Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Dirk-Peter HertenInstitute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK. d.herten@bham.ac.uk.ORCID http://orcid.org/0000-0002-3884-0262

Funding

Academy of Medical Sciences APR2\1013Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031L0256ABundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 031L0257CBundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 82DZL004C4Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) LungSysBundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) Switch-ClickDeutsche Forschungsgemeinschaft (German Research Foundation) HE4559/6-1Deutsche Forschungsgemeinschaft (German Research Foundation) SFB/TRR186/2-A24
6 · The paper itself

Abstract

Determining the label to target ratio, also known as the degree of labeling (DOL), is crucial for quantitative fluorescence microscopy and a high DOL with minimal unspecific labeling is beneficial for fluorescence microscopy in general. Yet robust, versatile and easy-to-use tools for measuring cell-specific labeling efficiencies are not available. Here we present a DOL determination technique named protein-tag DOL (ProDOL), which enables fast quantification and optimization of protein-tag labeling. With ProDOL various factors affecting labeling efficiency, including substrate type, incubation time and concentration, as well as sample fixation and cell type can be easily assessed. We applied ProDOL to investigate how human immunodeficiency virus-1 pathogenesis factor Nef modulates CD4 T cell activation measuring total and activated copy numbers of the adapter protein SLP-76 in signaling microclusters. ProDOL proved to be a versatile and robust tool for labeling calibration, enabling determination of labeling efficiencies, optimization of strategies and quantification of protein stoichiometry.

Indexed as

Microscopy, FluorescenceStaining and LabelingAdaptor Proteins, Signal TransducingCD4-Positive T-LymphocytesHIV-1HumansLymphocyte ActivationAdaptor Proteins, Signal Transducing

Identifiers

PMID39117875
PMCPMC11399104

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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.