Evidence map›Paper›PMID 38525110›Full record

ArticleMedComm2024

Generation and utilization of endostatin-sensitive cell lines for assessing the biological activity of endostatin.

Xi Qin, Yifang An, Xiang Li, Fang Huang, Yong Zhou, Dening Pei, Hua Bi, Xinchang Shi, Wenhong Fan, Youxue Ding and 3 more

Open access · goldAbstract read
In one paragraph

Article in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

13 authors at 3 institutions in 2 countries.

Xi QinNational Institutes for Food and Drug Control Beijing China.
Yifang AnNational Institutes for Food and Drug Control Beijing China.
Xiang LiNational Institutes for Food and Drug Control Beijing China.
Fang HuangDepartment of Cell Engineering Beijing Institute of Biotechnology Beijing China.
Yong ZhouNational Institutes for Food and Drug Control Beijing China.
Dening PeiNational Institutes for Food and Drug Control Beijing China.
Hua BiNational Institutes for Food and Drug Control Beijing China.
Xinchang ShiNational Institutes for Food and Drug Control Beijing China.
Wenhong FanNational Institutes for Food and Drug Control Beijing China.
Youxue DingNational Institutes for Food and Drug Control Beijing China.
Shuang LiSinovac Research & Development Co., Ltd. Beijing China.
Shanhu LiDepartment of Cell Engineering Beijing Institute of Biotechnology Beijing China.
Junzhi WangNational Institutes for Food and Drug Control Beijing China.
National Institutes for Food and Drug Control · CNSinovac Biotech · CNCzech Academy of Sciences, Institute of Biotechnology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombinant proteins are gaining increasing popularity for treating human diseases. The clinical effectiveness of recombinant proteins is directly related to their biological activity, which is an important indicator in drug development and quality control. However, certain recombinant proteins have unclear or complex signal pathways, making detecting their activity in vitro difficult. For instance, recombinant human endostatin (endostatin), a new antitumor drug developed in China, lacks a sensitive and stable assay for its biological activity since being market approval. To address this issue, we performed a genome-wide screening of immortalized human umbilical vein endothelial cells (HUVECs) using a CRISPR/Cas9 knockout library containing 20,000 targeted genes. We identified two potential endostatin-resistant genes, NEPSPP and UTS2, and successfully constructed a highly sensitive cell line, HUVEC-UTS2-3#, by knocking down the UTS2 gene. Based on the optimized parameters of HUVEC-UTS2-3# cells, we established a new method for detecting the biological activity of endostatin. The method was validated, and it produced results consistent with primary HUVEC cells but with higher sensitivity and more stable data. The use of gene-editing technology provides a novel solution for detecting the biological activity of recombinant proteins that other methods cannot detect.

Indexed as

biological activity assayCRISPR/Cas9endostatingene knockdownHUVECrecombinant protein

Identifiers

PMID38525110
PMCPMC10960727
OpenAlexW4393131272

What OpenQuestion holds

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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.