Evidence map›Paper›PMID 26504891›Full record

ArticleData in brief2015

Mapping the topographic epitope landscape on the urokinase plasminogen activator receptor (uPAR) by surface plasmon resonance and X-ray crystallography.

Baoyu Zhao, Sonu Gandhi, Cai Yuan, Zhipu Luo, Rui Li, Henrik Gårdsvoll, Valentina de Lorenzi, Nicolai Sidenius, Mingdong Huang, Michael Ploug

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2015. 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
0.1field-weighted citation impact, top 46% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 3 institutions in 3 countries.

Baoyu ZhaoState Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China ; Danish-Chinese Centre for Proteases and Cancer.
Sonu GandhiFIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.
Cai YuanState Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China ; Danish-Chinese Centre for Proteases and Cancer.
Zhipu LuoState Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China ; Danish-Chinese Centre for Proteases and Cancer.
Rui LiState Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China ; Biotech Research and Innovation Centre (BRIC), Copenhagen Biocenter, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark.
Henrik GårdsvollFinsen Laboratory, Rigshospitalet, Copenhagen Biocenter, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark ; Biotech Research and Innovation Centre (BRIC), Copenhagen Biocenter, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark ; Danish-Chinese Centre for Proteases and Cancer.
Valentina de LorenziFIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.
Nicolai SideniusFIRC Institute of Molecular Oncology, Via Adamello 16, 20139 Milan, Italy.
Mingdong HuangState Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China ; Danish-Chinese Centre for Proteases and Cancer.
Michael PlougFinsen Laboratory, Rigshospitalet, Copenhagen Biocenter, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark ; Biotech Research and Innovation Centre (BRIC), Copenhagen Biocenter, Ole Maaløes Vej 5, DK-2200 Copenhagen N, Denmark ; Danish-Chinese Centre for Proteases and Cancer.
Chinese Academy of Sciences · CNIFOM · ITUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The urokinase-type plasminogen activator receptor (uPAR or CD87) is a glycolipid-anchored membrane protein often expressed in the microenvironment of invasive solid cancers and high levels are generally associated with poor patient prognosis (Kriegbaum et al., 2011 [1]). uPAR is organized as a dynamic modular protein structure composed of three homologous Ly6/uPAR domains (LU).This internally flexible protein structure of uPAR enables an allosteric regulation of the interactions with its two principal ligands: the serine protease urokinase-type plasminogen activator (uPA) and the provisional matrix protein vitronectin (Vn) (Mertens et al., 2012; Gårdsvoll et al., 2011; Madsen et al., 2007 [2-4]). The data presented here relates to the non-covalent trapping of one of these biologically relevant uPAR-conformations by a novel class of monoclonal antibodies (Zhao et al., 2015 [5]) and to the general mapping of the topographic epitope landscape on uPAR. The methods required to achieve these data include: (1) recombinant expression and purification of a uPAR-hybrid protein trapped in the desired conformation [patent; WO 2013/020898 A12013]; (2) developing monoclonal antibodies with unique specificities using this protein as antigen; (3) mapping the functional epitope on uPAR for these mAbs by surface plasmon resonance with a complete library of purified single-site uPAR mutants (Zhao et al., 2015; Gårdsvoll et al., 2006 [5,6]); and finally (4) solving the three-dimensional structures for one of these mAbs by X-ray crystallography alone and in complex with uPAR [deposited in the PDB database as 4QTH and 4QTI, respectively].

Indexed as

AllosteryCancer invasionCD87Epitope mapped antibodiesHot spotsSPRuPARVitronectin

Identifiers

PMID26504891
PMCPMC4576398
OpenAlexW2211781874

What OpenQuestion holds

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LicenceCC BY
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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.