Evidence map›Paper›PMID 37666982›Full record

ArticleNature methods2023

Quantitative assessment of near-infrared fluorescent proteins.

Hanbin Zhang, Stavrini Papadaki, Xiaoting Sun, Xinyue Wang, Mikhail Drobizhev, Luxia Yao, Michel Rehbock, Reinhard W Köster, Lianfeng Wu, Kazuhiko Namikawa and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
10.0field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. Bright monomeric fluorescent protein elite-niRFP704 for two-channel near-infrared STED nanoscopy.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. A pilot study for whole proteome tagging inbioRxiv : the preprint server for biology · 2026
    Article
  10. Absolute quantification of fluorescent protein fusions by mass spectrometry.Protein science : a publication of the Protein Society · 2026
    Article
  11. Article
  12. Identification of optimal fluorophores for use in theMolecular biology of the cell · 2026
    Article
  13. Article
  14. WormTagDB: A Systematic Survey of Endogenously Tagged Proteins inbioRxiv : the preprint server for biology · 2025
    Article
  15. Article
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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

11 authors at 3 institutions in 3 countries.

Hanbin Zhang *School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.ORCID 0000-0002-0427-0070
Stavrini Papadaki *School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.ORCID 0000-0001-8118-2608
Xiaoting SunSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Xinyue WangDivision of Cellular and Molecular Neurobiology, Zoological Institute, Technische Universität Braunschweig, Braunschweig, Germany.
Mikhail DrobizhevDepartment of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA.ORCID 0000-0001-9072-1300
Luxia YaoSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Michel RehbockDivision of Cellular and Molecular Neurobiology, Zoological Institute, Technische Universität Braunschweig, Braunschweig, Germany.
Reinhard W KösterDivision of Cellular and Molecular Neurobiology, Zoological Institute, Technische Universität Braunschweig, Braunschweig, Germany.ORCID 0000-0001-6593-8196
Lianfeng WuSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.ORCID 0000-0003-0237-2548
Kazuhiko NamikawaDivision of Cellular and Molecular Neurobiology, Zoological Institute, Technische Universität Braunschweig, Braunschweig, Germany.
Kiryl D PiatkevichSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. kiryl.piatkevich@westlake.edu.cn.ORCID 0000-0002-7777-9468
Westlake University · CNTechnische Universität Braunschweig · DEMontana State University · US

Funding

Resource for Multiphoton Characterization of Genetically-Encoded ProbesU24NS109107 · NINDS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Mikhail Drobizhev · 2018 to 2026
$2.2M
Brain and Behavior Research Foundation (Brain & Behavior Research Foundation) 28961Deutsche Forschungsgemeinschaft (German Research Foundation) 241961032National Natural Science Foundation of China (National Science Foundation of China) 32050410298National Natural Science Foundation of China (National Science Foundation of China) 32071151National Natural Science Foundation of China (National Science Foundation of China) 32171093NINDS NIH HHS U24 NS109107
6 · The paper itself

Abstract

Recent progress in fluorescent protein development has generated a large diversity of near-infrared fluorescent proteins (NIR FPs), which are rapidly becoming popular probes for a variety of imaging applications. However, the diversity of NIR FPs poses a challenge for end-users in choosing the optimal one for a given application. Here we conducted a systematic and quantitative assessment of intracellular brightness, photostability, oligomeric state, chemical stability and cytotoxicity of 22 NIR FPs in cultured mammalian cells and primary mouse neurons and identified a set of top-performing FPs including emiRFP670, miRFP680, miRFP713 and miRFP720, which can cover a majority of imaging applications. The top-performing proteins were further validated for in vivo imaging of neurons in Caenorhabditis elegans, zebrafish, and mice as well as in mice liver. We also assessed the applicability of the selected NIR FPs for multicolor imaging of fusions, expansion microscopy and two-photon imaging.

Indexed as

Caenorhabditis elegansLuminescent ProteinsZebrafishAnimalsHumansMiceMicroscopy, FluorescenceNeuronsLuminescent Proteins

Identifiers

PMID37666982
PMCPMC11753454
OpenAlexW4386438873

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.