Evidence map›Paper›PMID 31815223›Full record

ArticleACS omega2019

Single Polar Cell Trapping Based on the Breath Figure Method.

Xixi Wu, Tao Liu, Su Gao, Shuangshuang Chen, Qinghua Lu

Abstract read
In one paragraph

Article in ACS omega, 2019. 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
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.

  1. Metabolic heterogeneity in early-stage lung adenocarcinoma revealed by RNA-seq and scRNA-seq.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    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

5 authors.

Xixi WuSchool of Chemical Science and Engineering and School of Medicine, Tongji University, Siping Road 1239, Shanghai 200092, China.
Tao LiuSchool of Chemical Science and Engineering and School of Medicine, Tongji University, Siping Road 1239, Shanghai 200092, China.
Su GaoSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai 200240, China.
Shuangshuang ChenSchool of Chemical Science and Engineering and School of Medicine, Tongji University, Siping Road 1239, Shanghai 200092, China.
Qinghua LuSchool of Chemical Science and Engineering and School of Medicine, Tongji University, Siping Road 1239, Shanghai 200092, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to research individual cells is important for various biological studies. Currently reported biointerfaces for single-cell analysis can only trap individual cells in random morphologies. Cell polarity is a key factor in cellular functions, and the study of single-cell polarity can facilitate an understanding of cancer metastasis and stem-cell differentiation. For single polar cell trapping, anisotropic honeycomb-structured films were prepared. Elastic poly(1,2-butadiene) honeycomb films with ordered hexagonal pores were first prepared via the breath figure method. Subsequently, the films were subjected to mechanical stretching and fixed via photo-cross-linking under UV light irradiation. This stretched honeycomb structure was then transferred to a polystyrene surface. The resultant anisotropic porous films exhibited excellent capacity for single-cell trapping. Besides contributing to the physical spatial confinement of cells, the trapped single cells exhibited orientation in different polarities. The single polar cell array provided a novel platform for fundamental biological research.

Identifiers

PMID31815223
PMCPMC6893950

What OpenQuestion holds

Textmetadata
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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.