Rxivist logo

An Automated Bayesian Pipeline for Rapid Analysis of Single-Molecule Binding Data

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

Posted 11 Apr 2018
bioRxiv DOI: 10.1101/261917 (published DOI: 10.1038/s41467-018-08045-5)

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. We benchmarked 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 used 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.

Download data

  • Downloaded 510 times
  • Download rankings, all-time:
    • Site-wide: 32,659 out of 94,912
    • In molecular biology: 1,062 out of 3,265
  • Year to date:
    • Site-wide: 81,662 out of 94,912
  • Since beginning of last month:
    • Site-wide: 62,037 out of 94,912

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News