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Oka, R.

Publications and source records attributed to Oka, R..

2 recordsLinked to original sources

Self-regenerating opsin from reef-building coral

Opsins underlie diverse physiological responses to light in animals. In the dark, most opsins bind the chromophore 11-cis retinal, which isomerizes to all-trans form upon light absorption, representing the initial key step in signaling. Maintenance of opsin function therefore requires continuous regeneration of the inactive, 11-cis-retinal-bound state. Here, we report a novel type of opsin, AtAntho2c, from a reef-building coral, whose active form, bound to all-trans retinal, can thermally revert to the initial dark state bound to 11-cis retinal. A cysteine residue in extracellular loop 2 region plays a key role in the self-regeneration ability. Using time-resolved and low-temperature spectroscopies, we identify two spectrally distinct photointermediates prior to the all-trans to 11-cis isomerization in AtAntho2c, whose formation rates and yields are found to vary depending on temperature and pH conditions. The active form of AtAntho2c activates Gi/o G protein, resulting in a transient and repeatable decrease in cellular cAMP levels upon repeated light stimulations, even in the absence of exogenous retinal in cultured cells. Furthermore, we confirm that cells expressing AtAntho2c exhibit membrane hyperpolarization via GIRK channel activation light-dependently. These properties highlight the potential of AtAntho2c as a versatile optogenetic actuator capable of repeatedly modulate Gi/o signaling without retinal supplementation. Significance StatementLight-sensitive proteins, opsins, form active states upon light absorption, leading to intracellular G protein signaling and various cellular outputs. The active states require specific enzymatic machinery or another photon absorption to regenerate inactive opsins ready to respond to repeated light stimuli and maintain continuous responsiveness. In our study, we identify and analyze a coral opsin of which the active state rapidly and autonomously reverts to the inactive state in the dark through thermal isomerization of the retinal chromophore within the opsin. This regeneration mechanism allows the opsin to respond to repeated light stimuli at high temporal resolution and maintain large signal amplitude without the need for exogenous retinal making this opsin potentially useful for developing versatile optogenetic tools.

biophysics↗

MutationalPatterns: The one stop shop for the analysis of mutational processes

BackgroundThe collective of somatic mutations in a genome represents a record of mutational processes that have been operative in a cell. These processes can be investigated by extracting relevant mutational patterns from sequencing data. ResultsHere, we present the next version of MutationalPatterns, an R/Bioconductor package, which allows in-depth mutational analysis of catalogues of single and double base substitutions as well as small insertions and deletions. Major features of the package include the possibility to perform regional mutation spectra analyses and the possibility to detect strand asymmetry phenomena, such as lesion segregation. On top of this, the package also contains functions to determine how likely it is that a signature can cause damaging mutations (i.e., mutations that affect protein function). This updated package supports stricter signature refitting on known signatures in order to prevent overfitting. Using simulated mutation matrices containing varied signature contributions, we showed that reliable refitting can be achieved even when only 50 mutations are present per signature. Additionally, we incorporated bootstrapped signature refitting to assess the robustness of the signature analyses. Finally, we applied the package on genome mutation data of cell lines in which we deleted specific DNA repair processes and on large cancer datasets, to show how the package can be used to generate novel biological insights. ConclusionsThis novel version of MutationalPatterns allows for more comprehensive analyses and visualization of mutational patterns in order to study the underlying processes. Ultimately, in-depth mutational analyses may contribute to improved biological insights in mechanisms of mutation accumulation as well as aid cancer diagnostics. MutationalPatterns is freely available at http://bioconductor.org/packages/MutationalPatterns.

genomics↗