Evidence map›Paper›PMID 40487641›Full record

ArticleActa pharmaceutica Sinica. B2025

Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell.

Zhun Lin, Siping Liang, Zhe Pu, Zhengyu Zou, Luxuan He, Christopher J Lyon, Yuanqing Zhang, Tony Y Hu, Minhao Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhun LinSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
Siping LiangZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Zhe PuSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
Zhengyu ZouZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Luxuan HeSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
Christopher J LyonCenter of Cellular and Molecular Diagnosis, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Yuanqing ZhangSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
Tony Y HuCenter of Cellular and Molecular Diagnosis, Tulane University School of Medicine, New Orleans, LA 70112, USA.
Minhao WuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phenotyping platform that employs a starburst microfluidic network and automatic liquid handling system to capture single cells for long-term culture and multi-dimensional analysis and quantify their clonal properties

Indexed as

Autocrine secretionCancer stem cellsGrowth factorMicrofluidicPhenotypic plasticityPhenotypic transitionSingle-cell analysisTumor heterogeneity

Identifiers

PMID40487641
PMCPMC12144973

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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.