ReviewSensors (Basel, Switzerland)2017
Imaging and Force Recognition of Single Molecular Behaviors Using Atomic Force Microscopy.
Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
Who cites it
12 citing papers in PubMed, 48 citations in OpenAlex.
- AFM-Based Single-Molecule Force Spectroscopy of PEG-Anti-PEG Antibody Interactions.ACS applied bio materials · 2026Article
- Probing Bacterial Interactions with theToxins · 2025Article
- Effect of Electric Fields on the Mechanical Mechanism of Regorafenib-VEGFR2 Interaction to Enhance Inhibition of Hepatocellular Carcinoma.Biomolecules · 2025Article
- Effects of fluid shear stress duration on the mechanical properties of HeLa cells using atomic force microscopy.PloS one · 2025Article
- Drug-Induced Conformational Dynamics of P-Glycoprotein Underlies the Transport of Camptothecin Analogs.International journal of molecular sciences · 2023Article
- Molecular Recognition of SurfaceInternational journal of molecular sciences · 2022Article
- Atomic force microscopy for revealing micro/nanoscale mechanics in tumor metastasis: from single cells to microenvironmental cues.Acta pharmacologica Sinica · 2021Review
- AFM-Based Correlative Microscopy Illuminates Human Pathogens.Frontiers in cellular and infection microbiology · 2021Review
- The CAR T-Cell Mechanoimmunology at a Glance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Review
- Nanomechanical Properties of Articular Cartilage Due to the PRP Injection in Experimental Osteoarthritis in Rabbits.Molecules (Basel, Switzerland) · 2020Article
- Nano-scientific Application of Atomic Force Microscopy in Pathology: from Molecules to Tissues.International journal of medical sciences · 2020Review
- States of phage T3/T7 capsids: buoyant density centrifugation and cryo-EM.Biophysical reviews · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of atomic force microscopy (AFM) has provided a powerful tool for investigating the behaviors of single native biological molecules under physiological conditions. AFM can not only image the conformational changes of single biological molecules at work with sub-nanometer resolution, but also sense the specific interactions of individual molecular pair with piconewton force sensitivity. In the past decade, the performance of AFM has been greatly improved, which makes it widely used in biology to address diverse biomedical issues. Characterizing the behaviors of single molecules by AFM provides considerable novel insights into the underlying mechanisms guiding life activities, contributing much to cell and molecular biology. In this article, we review the recent developments of AFM studies in single-molecule assay. The related techniques involved in AFM single-molecule assay were firstly presented, and then the progress in several aspects (including molecular imaging, molecular mechanics, molecular recognition, and molecular activities on cell surface) was summarized. The challenges and future directions were also discussed.
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Registered trials
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.