Recovering mixtures of fast-diffusing states from short single-particle trajectories.
Elife
; 112022 09 06.
Article
in English
| MEDLINE | ID: covidwho-2030284
ABSTRACT
Single-particle tracking (SPT) directly measures the dynamics of proteins in living cells and is a powerful tool to dissect molecular mechanisms of cellular regulation. Interpretation of SPT with fast-diffusing proteins in mammalian cells, however, is complicated by technical limitations imposed by fast image acquisition. These limitations include short trajectory length due to photobleaching and shallow depth of field, high localization error due to the low photon budget imposed by short integration times, and cell-to-cell variability. To address these issues, we investigated methods inspired by Bayesian nonparametrics to infer distributions of state parameters from SPT data with short trajectories, variable localization precision, and absence of prior knowledge about the number of underlying states. We discuss the advantages and disadvantages of these approaches relative to other frameworks for SPT analysis.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Single Molecule Imaging
/
Mammals
Type of study:
Prognostic study
Limits:
Animals
Language:
English
Year:
2022
Document Type:
Article
Affiliation country:
ELife.70169
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