Evidence map›Paper›PMID 37288003›Full record

ArticleBiophysics reports2022

Cell membrane sample preparation method of combined AFM and dSTORM analysis.

Mingjun Cai, Huili Wang, Guanfang Zhao, Hongru Li, Jing Gao, Hongda Wang

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

Article in Biophysics reports, 2022. 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
0.2field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Mingjun CaiUniversity of Science and Technology of China, Hefei 230027, China.
Huili WangState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Guanfang ZhaoUniversity of Science and Technology of China, Hefei 230027, China.
Hongru LiUniversity of Science and Technology of China, Hefei 230027, China.
Jing GaoState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
Hongda WangUniversity of Science and Technology of China, Hefei 230027, China.
University of Science and Technology of China · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major role of cell membranes is to provide an ideal environment for the constituent proteins to perform their biological functions. A deep understanding of the membrane proteins assembly process under physiological conditions is quite important to elucidate both the structure and the function of the cell membranes. Along these lines, in this work, a complete workflow of the cell membrane sample preparation and the correlated AFM and dSTORM imaging analysis methods are presented. A specially designed, angle-controlled sample preparation device was used to prepare the cell membrane samples. The correlated distributions of the specific membrane proteins with the topography of the cytoplasmic side of the cell membranes can be obtained by performing correlative AFM and dSTORM measurements. These methods are ideal for systematically studying the structure of the cell membranes. The proposed method of the sample characterization was not only limited to the measurement of the cell membrane but also can be applied for both biological tissue section analysis and detection.

Indexed as

Atomic force microscopy (AFM)Cell membraneCombined techniqueDirect stochastic optical reconstruction microscopy (dSTORM)Super-resolution microscopy (SRM)

Identifiers

PMID37288003
PMCPMC10185485
OpenAlexW4287012447

What OpenQuestion holds

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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.