Evidence map›Paper›PMID 38246588›Full record

ArticleMolecular metabolism2024

All-potassium channel CRISPR screening reveals a lysine-specific pathway of insulin secretion.

Jing Lu, Ru-Xuan Zhao, Feng-Ran Xiong, Juan-Juan Zhu, Ting-Ting Shi, Ying-Chao Zhang, Gong-Xin Peng, Jin-Kui Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular metabolism, 2024. 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
0.9field-weighted citation impact, top 28% 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.

  1. Review
  2. The contrasting effects of two antimalarial drugs on insulin secretion.Cellular and molecular life sciences : CMLS · 2025
    Article
  3. 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

8 authors at 2 institutions in 1 country.

Jing LuDepartment of Endocrinology, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diabetes Research and Care, Beijing 100730, China.
Ru-Xuan ZhaoDepartment of Endocrinology, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diabetes Research and Care, Beijing 100730, China.
Feng-Ran XiongDepartment of Endocrinology, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diabetes Research and Care, Beijing 100730, China.
Juan-Juan ZhuDepartment of Endocrinology, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diabetes Research and Care, Beijing 100730, China.
Ting-Ting ShiDepartment of Endocrinology, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Beijing 100730, China.
Ying-Chao ZhangDepartment of Endocrinology, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Beijing 100730, China.
Gong-Xin PengCenter for Bioinformatics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing 100740, China.
Jin-Kui YangDepartment of Endocrinology, Beijing Diabetes Institute, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Diabetes Research and Care, Beijing 100730, China. Electronic address: jkyang@ccmu.edu.cn.
Beijing Tongren Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGenome-scale CRISPR-Cas9 knockout coupled with single-cell RNA sequencing (scRNA-seq) has been used to identify function-related genes. However, this method may knock out too many genes, leading to low efficiency in finding genes of interest. Insulin secretion is controlled by several electrophysiological events, including fluxes of K

methodsWe used a system involving CRISPR-Cas9-mediated knockout of all 83 K

resultsThe expression levels of insulin genes were significantly increased after all-K

conclusionsOur function-related CRISPR screen with scRNA-seq identifies Kcnh6 as a lysine-specific channel.

Indexed as

InsulinLysineAdenosine TriphosphateAnimalsGlucoseInsulin SecretionMiceAdenosine TriphosphateGlucoseInsulinLysineCRISPR-Cas9Genome-wideInsulin secretionKcnh6Potassium channel

Identifiers

PMID38246588
PMCPMC10847698
OpenAlexW4391037323

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.