Single Molecule Analysis
Single Molecule Analysis - Related Videos
11:46
Single Molecule Analysis of Laser Localized Psoralen Adducts
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2017
Lasers are frequently used in studies of the cellular response to DNA damage. However, they generate lesions whose spacing, frequency, and collisions with replication forks are rarely characterized. Here, we describe an approach that enables the determination of these parameters with laser localized interstrand crosslinks.
12:13
Single-Molecule Imaging of Nuclear Transport
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2010
Single molecule microscopy approch provided novel insights into nuclear transport.
06:26
Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH
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Cited by 4 •
2020
Single molecule RNA fluorescence in situ hybridization (smFISH) is a method to accurately quantify levels and localization of specific RNAs at the single cell level. Here, we report our validated lab protocols for wet-bench processing, imaging and image analysis for single cell quantification of specific RNAs.
11:27
Studying DNA Looping by Single-Molecule FRET
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Cited by 13 •
2014
This study presents a detailed experimental procedure to measure looping dynamics of double-stranded DNA using single-molecule Fluorescence Resonance Energy Transfer (FRET). The protocol also describes how to extract the looping probability density called the J factor.
07:51
Single-Molecule Localization Microscopy of Membrane Proteins using Single-Antibody Labeling
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2026
This protocol describes single-antibody labeling (SAL) to resolve the nanoscale spatial organization of plasma membrane proteins. By leveraging cumulative antibody-epitope interactions at the single-molecule level, membrane SAL (mSAL) maps local epitope distributions while simultaneously capturing antibody binding behavior in the native cellular environment.
FAQs
Single-molecule measurements preserve molecular heterogeneity, meaning that molecules in the same sample may behave differently. A bulk assay averages these responses into one signal, which can conceal minority behaviors or distinct subpopulations. Resolving those differences helps bioengineers examine whether observed kinetics, conformational changes, or interactions are shared across molecules or arise only transiently in part of the population.
Detection depends on the physical signal generated by the chosen method. Fluorescence microscopy follows emitted light, optical trapping measures force-dependent molecular motion, and nanopore sensing records changes in ionic current as molecules pass through a nanoscale channel. These distinct readouts let investigators select a measurement strategy based on whether the target behavior is optical, mechanical, or passage-related.
Following individual molecular events can expose reaction kinetics that population averages smooth over, including differences in how quickly events occur. Measurements can also capture transient interactions and conformational changes, giving a detailed view of molecular behavior. In bioengineering, these observations support quantitative models that represent variable and short-lived states rather than only an overall average.
Researchers match the measurement approach to the signal they need to observe: fluorescence microscopy for emitted light, optical trapping for force-dependent motion, or nanopore sensing for ionic-current changes during passage through a nanoscale channel. They then interpret the resulting measurements to identify behavior, structure, or interactions. This workflow connects an observable signal to a specific molecular property.
Its value is greatest when population-averaged measurements may hide molecular variation or brief events. Bioengineers can apply the resulting measurements to biosensor development, diagnostics, drug development, and biomolecular design. Because the data retain information about heterogeneity, kinetics, conformational changes, and interactions, they can guide designs or evaluations that require a more detailed molecular picture.
By recording behavior at the level of individual molecules, the approach supplies evidence about how heterogeneous behaviors and transient interactions contribute to larger biological processes. Those observations can be incorporated into quantitative models of cellular processes, linking molecular-scale measurements with system-level interpretation. This connection is especially relevant when a single averaged signal cannot explain the range of behaviors present.