Evidence map›Paper›PMID 33219364›Full record

ArticleNature chemistry2020

Enzyme-mediated nitric oxide production in vasoactive erythrocyte membrane-enclosed coacervate protocells.

Songyang Liu, Yanwen Zhang, Mei Li, Li Xiong, Zijian Zhang, Xiaohai Yang, Xiaoxiao He, Kemin Wang, Jianbo Liu, Stephen Mann

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 218 citations in OpenAlex.

  1. Review
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  4. Dynamic Covalent Boronate Chemistry forJournal of the American Chemical Society · 2026
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9 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 2 countries.

Songyang LiuState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha, P. R. China.ORCID http://orcid.org/0000-0002-0035-6432
Yanwen ZhangState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha, P. R. China.
Mei LiCentre for Protolife Research, School of Chemistry, University of Bristol, Bristol, UK.
Li XiongThe Second Xiangya Hospital, Central South University, Changsha, P. R. China.
Zijian ZhangThe Second Xiangya Hospital, Central South University, Changsha, P. R. China.ORCID http://orcid.org/0000-0003-4041-9263
Xiaohai YangState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha, P. R. China.
Xiaoxiao HeState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha, P. R. China.
Kemin WangState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha, P. R. China.ORCID http://orcid.org/0000-0001-9390-4938
Jianbo LiuState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha, P. R. China. liujianbo@hnu.edu.cn.ORCID http://orcid.org/0000-0001-8282-4078
Stephen MannCentre for Protolife Research, School of Chemistry, University of Bristol, Bristol, UK. s.mann@bristol.ac.uk.ORCID http://orcid.org/0000-0003-3012-8964
Hunan University · CNCentral South University · CNAt Bristol · GBUniversity of Bristol · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Biotechnology and Biological Sciences Research Council BB/P017320/1
6 · The paper itself

Abstract

The design and construction of synthetic therapeutic protocells capable of establishing cognate chemical communication channels with living cells is an important challenge for synthetic biology and bio-engineering. Here we develop a step towards protocell-mediated nitric-oxide-induced vasodilation by constructing a new synthetic cell model based on bio-derived coacervate vesicles with high haemocompatibility and increased blood circulation times. The hybrid protocells are prepared by the spontaneous self-assembly of haemoglobin-containing erythrocyte membrane fragments on the surface of preformed polysaccharide-polynucleotide coacervate micro-droplets containing glucose oxidase. We use the sequestered enzymes to program a spatially coupled glucose oxidase/haemoglobin reaction cascade, which in the presence of glucose and hydroxyurea generates a protocell-mediated flux of nitric oxide that we exploit for in vitro and in vivo blood vessel vasodilation. Taken together, our results provide new opportunities for the development of endogenously organized cell-like entities (biocompatible micro-bots) geared specifically towards active interfacing with individual living cells and cell communities.

Indexed as

AnimalsAorta, ThoracicArtificial CellsCarotid ArteriesErythrocyte MembraneFemaleGlucoseGlucose OxidaseHemoglobinsHydroxyureaMaleNitric OxideRabbitsVasodilationGlucoseGlucose OxidaseHemoglobinsHydroxyureaNitric Oxide

Identifiers

PMID33219364
OpenAlexW3104099683

What OpenQuestion holds

Textmetadata
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.