Evidence map›Paper›PMID 30655518›Full record

ArticleNature communications2019

An automated Bayesian pipeline for rapid analysis of single-molecule binding data.

Carlas S Smith, Karina Jouravleva, Maximiliaan Huisman, Samson M Jolly, Phillip D Zamore, David Grunwald

Abstract readValidation Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Core NHEJ Factors Maintain Synapsis Across Diverse DNA End Structures.bioRxiv : the preprint server for biology · 2026
    Article
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  5. Physics-Inspired Single-Particle Tracking Accelerated with Parallelism.bioRxiv : the preprint server for biology · 2025
    Article
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  18. Review
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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.

Carlas S SmithRNA Therapeutics Institute, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA. carlas.smith@merton.ox.ac.uk.
Karina JouravlevaRNA Therapeutics Institute, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.ORCID http://orcid.org/0000-0003-2591-3116
Maximiliaan HuismanRNA Therapeutics Institute, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.ORCID http://orcid.org/0000-0003-3363-8791
Samson M JollyRNA Therapeutics Institute, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Phillip D ZamoreRNA Therapeutics Institute, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA. phillip.zamore@umassmed.edu.ORCID http://orcid.org/0000-0002-4505-9618
David GrunwaldRNA Therapeutics Institute, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA. david.grunwald@umassmed.edu.ORCID http://orcid.org/0000-0001-9067-804X

Funding

Understanding the Mechanism of RNA InterferenceR37GM062862 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ZAMORE, PHILLIP D · 2010 to 2019
$5.3M
Visualizing local and global chromatin architecture, and gene expression in the individual cell by structural (SUSHI) and temporal (3D-SMRT) single molecule imagingU01DA047733 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GRUNWALD, DAVID · 2018 to 2019
$1.0M
NIDA NIH HHS U01 DA047733NIGMS NIH HHS R37 GM062862
6 · The paper itself

Abstract

Single-molecule binding assays enable the study of how molecular machines assemble and function. Current algorithms can identify and locate individual molecules, but require tedious manual validation of each spot. Moreover, no solution for high-throughput analysis of single-molecule binding data exists. Here, we describe an automated pipeline to analyze single-molecule data over a wide range of experimental conditions. In addition, our method enables state estimation on multivariate Gaussian signals. We validate our approach using simulated data, and benchmark the pipeline by measuring the binding properties of the well-studied, DNA-guided DNA endonuclease, TtAgo, an Argonaute protein from the Eubacterium Thermus thermophilus. We also use the pipeline to extend our understanding of TtAgo by measuring the protein's binding kinetics at physiological temperatures and for target DNAs containing multiple, adjacent binding sites.

Indexed as

Argonaute ProteinsBacterial ProteinsBayes TheoremBinding SitesDNA, Single-StrandedImage Processing, Computer-AssistedKineticsMicroscopy, FluorescenceProtein BindingSingle Molecule ImagingSoftwareThermus thermophilusArgonaute ProteinsBacterial ProteinsDNA, Single-Stranded

Identifiers

PMID30655518
PMCPMC6336789

What OpenQuestion holds

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LicenceCC BY
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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.