Evidence map›Paper›PMID 34889069›Full record

ArticleFEBS open bio2022

Optimised expression and purification of RBP4 and preparation of anti-RBP4 monoclonal antibody.

Hui Li, Xiao He, Sha Wen, Lichao Yang, Qiuli Chen, Yasi Li, Shiping Huang, Xuejing Huang, Fengjie Wan, Min He

Abstract read
In one paragraph

Article in FEBS open bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

10 authors.

Hui LiSchool of Public Health, Guangxi Medical University, Nanning, China.ORCID 0000-0002-2658-7095
Xiao HeSchool of Public Health, Guilin Medical School, China.
Sha WenLaboratory Animal Center, Guangxi Medical University, Nanning, China.
Lichao YangSchool of Public Health, Guangxi Medical University, Nanning, China.
Qiuli ChenSchool of Public Health, Guangxi Medical University, Nanning, China.
Yasi LiDepartment of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA, USA.
Shiping HuangSchool of Public Health, Guangxi Medical University, Nanning, China.
Xuejing HuangLaboratory Animal Center, Guangxi Medical University, Nanning, China.
Fengjie WanSchool of Public Health, Guangxi Medical University, Nanning, China.
Min HeSchool of Public Health, Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expression level of retinol-binding protein 4 (RBP4) protein is closely related to liver damage and plays an important role in the diagnosis and prognosis of cancer. However, the preparation of anti-RBP4 mAb or exploration on the application of anti-RBP4 mAb has not been reported thus far. In the present study, we constructed a pET30a-RBP4 recombinant vector, used E. coli BL21 (DE3) as the vector to express the RBP4 recombinant protein and prepared anti-RBP4 mAb using hybridoma technology. We performed immunohistochemical analysis on hepatocellular carcinoma (HCC) and adjacent tissues by using this anti-RBP4 mAb. In addition to the high-purity RBP4 recombinant protein, we successfully developed the anti-RBP4 mAb with high affinity and specificity; it binds to natural RBP4 protein and is suitable for immunohistochemical analysis.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAntibodies, MonoclonalEscherichia coliHumansRecombinant ProteinsRetinol-Binding Proteins, PlasmaAntibodies, MonoclonalRBP4 protein, humanRecombinant ProteinsRetinol-Binding Proteins, Plasmaimmunohistochemical analysismonoclonal antibodyRBP4recombinant protein

Identifiers

PMID34889069
PMCPMC8804599

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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.