Evidence map›Paper›PMID 37108116›Full record

ArticleInternational journal of molecular sciences2023

Structural Insights into the Binding of Red Fluorescent Protein mCherry-Specific Nanobodies.

Hui Liang, Zhiqiang Ma, Ziying Wang, Peiyu Zhong, Ran Li, He Jiang, Xin Zong, Chao Zhong, Xihuan Liu, Peng Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. PEG-mCherry interactions beyond classical macromolecular crowding.Protein science : a publication of the Protein Society · 2025
    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

14 authors at 1 institution in 1 country.

Hui LiangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.ORCID 0000-0002-4542-0506
Zhiqiang MaState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Ziying WangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Peiyu ZhongState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Ran LiState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.ORCID 0009-0002-4612-6920
He JiangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Xin ZongState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Chao ZhongState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Xihuan LiuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Peng LiuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Jiayuan LiuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Haoran ZhuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Rui LiuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.
Yu DingState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China.ORCID 0000-0001-7772-6449
Fudan University · CN

Funding

Key Laboratory Program of the Education Commission of Shanghai Municipality ZDSYS14005National Key Research and Development Program of China 2021YFA0805200National Natural Science Foundation of China 32070939National Natural Science Foundation of China 82030106
6 · The paper itself

Abstract

Red fluorescent proteins (RFPs) have broad applications in life science research, and the manipulation of RFPs using nanobodies can expand their potential uses. However, the structural information available for nanobodies that bind with RFPs is still insufficient. In this study, we cloned, expressed, purified, and crystallized complexes formed by mCherry with LaM1, LaM3, and LaM8. Then, we analyzed the biochemical properties of the complexes using mass spectrometry (MS), fluorescence-detected size exclusion chromatography (FSEC), isothermal titration calorimetry (ITC), and bio-layer interferometry (BLI) technology. We determined the crystal structure of mCherry-LaM1, mCherry-LaM3, and mCherry-LaM8, with resolutions of 2.05 Å, 3.29 Å, and 1.31 Å, respectively. In this study, we systematically compared various parameters of several LaM series nanobodies, including LaM1, LaM3, and LaM8, with previously reported data on LaM2, LaM4, and LaM6, specifically examining their structural information. After designing multivalent tandem LaM1-LaM8 and LaM8-LaM4 nanobodies based on structural information, we characterized their properties, revealing their higher affinity and specificity to mCherry. Our research provides novel structural insights that could aid in understanding nanobodies targeting a specific target protein. This could provide a starting point for developing enhanced mCherry manipulation tools.

Indexed as

Single-Domain AntibodiesLuminescent ProteinsRed Fluorescent ProteinLuminescent ProteinsRed Fluorescent ProteinSingle-Domain Antibodiescrystal structureLaM1LaM3LaM8mCherrynanobodyred fluorescent protein

Identifiers

PMID37108116
PMCPMC10138814
OpenAlexW4362733047

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.