Evidence map›Paper›PMID 36445617›Full record

ArticleCell biochemistry and biophysics2023

Establishment of a CaCC-based Cell Model and Method for High-throughput Screening of M3 Receptor Drugs.

Xueying Liu, Xiaohong Ju, Qiyuan Hong, Ximin Wang, Mingda Wu, Wenzhu Xing, Meng Xu, Cheng Hu, Feng Hao

Abstract read
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In one paragraph

Article in Cell biochemistry and biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 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

9 authors at 4 institutions in 1 country.

Xueying Liu *School of Laboratory Medicine, Jilin Medical University, Jilin, P.R. China.
Xiaohong Ju *School of Laboratory Medicine, Jilin Medical University, Jilin, P.R. China.
Qiyuan HongSchool of Public Health, Jilin Medical University, Jilin, P.R. China.
Ximin WangJilin drug Inspection Center, Changchun, P.R. China.
Mingda WuSchool of Medicine, Yanbian University, Yanji, P.R. China.
Wenzhu XingSchool of Medical Technology, Beihua University, Jilin, P.R. China.
Meng XuSchool of Medical Technology, Beihua University, Jilin, P.R. China.
Cheng HuSchool of Laboratory Medicine, Jilin Medical University, Jilin, P.R. China. huchenghq@163.com.
Feng HaoSchool of Laboratory Medicine, Jilin Medical University, Jilin, P.R. China. haof863@nenu.edu.cn.
Jilin Medical University · CNBeihua University · CNJilin Meteorological Bureau · CNYanbian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscarinic acetylcholine receptor subtype 3 (M3 receptor) is a G Protein-Coupled Receptor (GPCR) that mediates many important physiological functions. Currently, most M3 receptor drugs also have high affinity for other subtypes of muscarinic acetylcholine receptors (mAChRs) and produce the risk of side effects. Therefore, in order to find M3 receptor drugs with high specificity, high activity and low side effects, we established a cell model and method for efficient and sensitive screening of M3 receptor based on calcium-activated chloride channels (CaCCs), and this method is also suitable for the screening of other GPCR drugs. This screening model consists of Fischer rat thyroid follicular epithelial (FRT) cells that endogenously express M3 receptors, CaCCs, and the indicator YFP-H148Q/I152L. We verified that the model can sensitively detect changes in intracellular Ca

Indexed as

Chloride ChannelsHigh-Throughput Screening AssaysAnimalsRatsReceptor, Muscarinic M3Thyroid GlandChloride ChannelsReceptor, Muscarinic M3CaCCCell modelHigh-throughput screeningM3 receptorYFP-H148Q/I152L

Identifiers

PMID36445617
OpenAlexW4310239158

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.