Evidence map›Paper›PMID 29570665›Full record

ReviewInternational journal of molecular sciences2018

Compressive Force Spectroscopy: From Living Cells to Single Proteins.

Jiabin Wang, Meijun Liu, Yi Shen, Jielin Sun, Zhifeng Shao, Daniel Mark Czajkowsky

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. 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. Review
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.

Jiabin WangShanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China. wjb0221@sjtu.edu.cn.
Meijun LiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. mj.liu@sjtu.edu.cn.
Yi ShenSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. shenyi12@sjtu.edu.cn.
Jielin SunShanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China. jlsun@sjtu.edu.cn.
Zhifeng ShaoSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. zfshao@sjtu.edu.cn.
Daniel Mark CzajkowskySchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. dczaj@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most successful applications of atomic force microscopy (AFM) in biology involves monitoring the effect of force on single biological molecules, often referred to as force spectroscopy. Such studies generally entail the application of pulling forces of different magnitudes and velocities upon individual molecules to resolve individualistic unfolding/separation pathways and the quantification of the force-dependent rate constants. However, a less recognized variation of this method, the application of compressive force, actually pre-dates many of these "tensile" force spectroscopic studies. Further, beyond being limited to the study of single molecules, these compressive force spectroscopic investigations have spanned samples as large as living cells to smaller, multi-molecular complexes such as viruses down to single protein molecules. Correspondingly, these studies have enabled the detailed characterization of individual cell states, subtle differences between seemingly identical viral structures, as well as the quantification of rate constants of functionally important, structural transitions in single proteins. Here, we briefly review some of the recent achievements that have been obtained with compressive force spectroscopy using AFM and highlight exciting areas of its future development.

Indexed as

Microscopy, Atomic ForceProteinsProteinsAFMAtomic Force Microscopycellular elasticitysingle molecule

Identifiers

PMID29570665
PMCPMC5979447

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.