scholarly journals Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jieming Li ◽  
Leyou Zhang ◽  
Alexander Johnson-Buck ◽  
Nils G. Walter
Keyword(s):  
Deep Learning ◽  
Single Molecule ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Markov Modeling ◽  
Single Molecule Fluorescence ◽  
Hidden Markov Modeling ◽  
Improved Performance ◽  
Automated Screening ◽  
Expectation Bias

AbstractTraces from single-molecule fluorescence microscopy (SMFM) experiments exhibit photophysical artifacts that typically necessitate human expert screening, which is time-consuming and introduces potential for user-dependent expectation bias. Here, we use deep learning to develop a rapid, automatic SMFM trace selector, termed AutoSiM, that improves the sensitivity and specificity of an assay for a DNA point mutation based on single-molecule recognition through equilibrium Poisson sampling (SiMREPS). The improved performance of AutoSiM is based on accepting both more true positives and fewer false positives than the conventional approach of hidden Markov modeling (HMM) followed by hard thresholding. As a second application, the selector is used for automated screening of single-molecule Förster resonance energy transfer (smFRET) data to identify high-quality traces for further analysis, and achieves ~90% concordance with manual selection while requiring less processing time. Finally, we show that AutoSiM can be adapted readily to novel datasets, requiring only modest Transfer Learning.

scholarly journals Exploring the energy landscape of a SAM-I riboswitch

2021 ◽  
Author(s):  
Christoph Manz ◽  
Andrei Yu Kobitski ◽  
Ayan Samanta ◽  
Karin Nienhaus ◽  
Andres Jäschke ◽  
...  
Keyword(s):  
Single Molecule ◽  
Energy Landscape ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Conformational Energy ◽  
Markov Modeling ◽  
Regulate Gene Expression ◽  
Specific Effects ◽  
Hidden Markov Modeling ◽  
Switching Action

AbstractSAM-I riboswitches regulate gene expression through transcription termination upon binding a S-adenosyl-L-methionine (SAM) ligand. In previous work, we characterized the conformational energy landscape of the full-length Bacillus subtilis yitJ SAM-I riboswitch as a function of Mg2+ and SAM ligand concentrations. Here, we have extended this work with measurements on a structurally similar ligand, S-adenosyl-l-homocysteine (SAH), which has, however, a much lower binding affinity. Using single-molecule Förster resonance energy transfer (smFRET) microscopy and hidden Markov modeling (HMM) analysis, we identified major conformations and determined their fractional populations and dynamics. At high Mg2+ concentration, FRET analysis yielded four distinct conformations, which we assigned to two terminator and two antiterminator states. In the same solvent, but with SAM added at saturating concentrations, four states persisted, although their populations, lifetimes and interconversion dynamics changed. In the presence of SAH instead of SAM, HMM revealed again four well-populated states and, in addition, a weakly populated ‘hub’ state that appears to mediate conformational transitions between three of the other states. Our data show pronounced and specific effects of the SAM and SAH ligands on the RNA conformational energy landscape. Interestingly, both SAM and SAH shifted the fractional populations toward terminator folds, but only gradually, so the effect cannot explain the switching action. Instead, we propose that the noticeably accelerated dynamics of interconversion between terminator and antiterminator states upon SAM binding may be essential for control of transcription.

scholarly journals Closing and opening of the RNA polymerase trigger loop

2019 ◽  
Author(s):  
Abhishek Mazumder ◽  
Miaoxin Lin ◽  
Achillefs N. Kapanidis ◽  
Richard H. Ebright
Keyword(s):  
Rna Polymerase ◽  
Fluorescent Probe ◽  
Active Center ◽  
Single Molecule ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Single Molecule Fluorescence ◽  
Structural Element ◽  
Trigger Loop ◽  
Nucleotide Addition

The RNA polymerase (RNAP) trigger loop (TL) is a mobile structural element of the RNAP active center that, based on crystal structures, has been proposed to cycle between an “unfolded”/“open” state that allows an NTP substrate to enter the active center and a “folded”/“closed” state that holds the NTP substrate in the active center. Here, by quantifying single-molecule fluorescence resonance energy transfer between a first fluorescent probe in the TL and a second fluorescent probe elsewhere in RNAP or in DNA, we detect and characterize TL closing and opening in solution. We show that the TL closes and opens on the millisecond timescale; we show that TL closing and opening provides a checkpoint for NTP complementarity, NTP ribo/deoxyribo identity, and NTP tri/di/monophosphate identity, and serves as a target for inhibitors; and we show that one cycle of TL closing and opening typically occurs in each nucleotide addition cycle in transcription elongation.

Single molecule fluorescence resonance energy transfer scanning near-field optical microscopy: potentials and challenges

2015 ◽  
Vol 184 ◽  
pp. 51-69 ◽  
Author(s):  
S. K. Sekatskii ◽  
K. Dukenbayev ◽  
M. Mensi ◽  
A. G. Mikhaylov ◽  
E. Rostova ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Fluorescence Resonance Energy Transfer ◽  
Single Molecule ◽  
Near Field ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Nitrogen Vacancy ◽  
Single Molecule Fluorescence ◽  
Single Molecule Fret ◽  
Fluorescence Resonance

A few years ago, single molecule Fluorescence Resonance Energy Transfer Scanning Near-Field Optical Microscope (FRET SNOM) images were demonstrated using CdSe semiconductor nanocrystal–dye molecules as donor–acceptor pairs. Corresponding experiments reveal the necessity to exploit much more photostable fluorescent centers for such an imaging technique to become a practically used tool. Here we report the results of our experiments attempting to use nitrogen vacancy (NV) color centers in nanodiamond (ND) crystals, which are claimed to be extremely photostable, for FRET SNOM. All attempts were unsuccessful, and as a plausible explanation we propose the absence (instability) of NV centers lying close enough to the ND border. We also report improvements in SNOM construction that are necessary for single molecule FRET SNOM imaging. In particular, we present the first topographical images of single strand DNA molecules obtained with fiber-based SNOM. The prospects of using rare earth ions in crystals, which are known to be extremely photostable, for single molecule FRET SNOM at room temperature and quantum informatics at liquid helium temperatures, where FRET is a coherent process, are also discussed.

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