ArticleJournal of the American Chemical Society2023
Resolving Molecular Heterogeneity with Single-Molecule Centrifugation.
Article in Journal of the American Chemical Society, 2023. 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
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.
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, 18 citations in OpenAlex.
- Mapping the Conformational Landscape of DNA Minicircles Through Atomic Force Microscopy and Shape Space Analysis.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Protein force spectroscopy using magnetic tweezers: Slow and steady wins the race?Biophysical journal · 2026Review
- Beyond the Single Molecule: Multiplexed Methods in Force Spectroscopy.Annual review of biophysics · 2026Review
- Light-Guided Molecular Patterning for High-Throughput Single-Molecule Mechanical Characterization.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Single-molecule mechanostructural fingerprinting of nucleic acid conformations.Nucleic acids research · 2026Article
- Probing the Dynamic Strength of Biomolecular Interactions with Single-Cell Centrifugation.ACS central science · 2025Article
- A guide to building a low-cost centrifuge force microscope module for single-molecule force experiments.Nature protocols · 2025Review
- High-Throughput Centrifuge Force Microscopy Reveals Dynamic Immune-Cell Avidity at the Single-Cell Level.bioRxiv : the preprint server for biology · 2025Article
- Life under tension: the relevance of force on biological polymers.Biophysics reports · 2024Article
- Cooperative control of a DNA origami force sensor.Scientific reports · 2024Article
- Article
- Combining DNA scaffolds and acoustic force spectroscopy to characterize individual protein bonds.Biophysical journal · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
For many classes of biomolecules, population-level heterogeneity is an essential aspect of biological function─from antibodies produced by the immune system to post-translationally modified proteins that regulate cellular processes. However, heterogeneity is difficult to fully characterize for multiple reasons: (i) single-molecule approaches are needed to avoid information lost by ensemble-level averaging, (ii) sufficient statistics must be gathered on both a per-molecule and per-population level, and (iii) a suitable analysis framework is required to make sense of a potentially limited number of intrinsically noisy measurements. Here, we introduce an approach that overcomes these difficulties by combining three techniques: a DNA nanoswitch construct to repeatedly interrogate the same molecule, a benchtop centrifuge force microscope (CFM) to obtain thousands of statistics in a highly parallel manner, and a Bayesian nonparametric (BNP) inference method to resolve separate subpopulations with distinct kinetics. We apply this approach to characterize commercially available antibodies and find that polyclonal antibody from rabbit serum is well-modeled by a mixture of three subpopulations. Our results show how combining a spatially and temporally multiplexed nanoswitch-CFM assay with BNP analysis can help resolve complex biomolecular interactions in heterogeneous samples.
Indexed as
Identifiers
What OpenQuestion holds
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.