Label selection support system, label selection support device, method of supporting label selection, and program for supporting label selection
There is provided a technology that supports selection of a label to be used for analysis of target molecules. The present technology provides a label selection support system including an information acquisition unit that obtains, via a network, information associated with a plurality of target molecules to be analyzed, an information processor that obtains, using the information associated with a plurality of target molecules and generates support information associated with assignment of a label to each of the plurality of target molecules on the basis of the expression information, and a transmitter that transmits the generated support information via the network.
1. A method for selecting labels, the method comprising:
obtaining in vivo expression information of a plurality of target molecules by using information associated with the plurality of target molecules to be analyzed; and
generating support information associated with assignment of a label to each of the plurality of target molecules on a basis of the expression information; and
transmitting the generated support information via a transmitter.
2. The method according to claim 1 , wherein the expression information is information associated with in vivo expression distribution or an in vivo expression level.
3. The method according to claim 1 , wherein the expression information is information associated with an in vivo expression level, and the information processor selects fluorescent intensity of a label to be assigned to the target molecules on a basis of the information associated with the expression level of the target molecules.
4. The method according to claim 1 , wherein the expression information is information associated with in vivo expression distribution, and the information processor selects a fluorescence wavelength of a label to be assigned to the target molecules on a basis of the information associated with the expression distribution of the target molecules.
5. The method according to claim 1 , wherein the information processor assigns a fluorescent dye far in fluorescence wavelength spectrum to each of the plurality of target molecules spatially adjacent to each other.
6. The method according to claim 1 , wherein the information processor uses a learned model in which suitability of a combination of a target molecule and a label has been learned to generate the support information.
7. The method according to claim 1 , wherein the information processor includes a data table generator that generates a data table for each of the target molecules from the expression information.
8. The method according to claim 7 , wherein the information processor further includes a support information generator that refers to the generated data table and generates support information associated with a label to be assigned to each of the target molecules.
9. The method according to claim 8 , wherein the support information generator generates the support information on a basis of a correlation between the generated data tables.
10. The method according to claim 7 , wherein the data table generator further includes a data table generation rule determiner that determines a generation rule of the data table using a classifier generated on a basis of information associated with target molecules and information associated with analysis of the target molecules.
11. The method according to claim 7 , wherein the data table generator generates, for each of the target molecules, a data table having data related to an amount of the target molecules in a cell.
12. The method according to claim 7 , wherein the data table generator generates, for each biomolecule, a treatment condition data table including a treatment condition before analysis of the biomolecule as an item.
13. The method according to claim 8 , wherein
the label is a fluorescent dye, and
the support information generator assigns a label to each of the target molecules in such a manner that, on a basis of a correlation between the generated data tables, a fluorescent dye farther in wavelength is assigned to each of two target molecules having a stronger correlation between the data tables.
14. The method according to claim 8 , wherein the support information generator further includes a support information generation rule determiner that determines a generation rule of the support information using a classifier generated on a basis of information associated with target molecules and information associated with analysis of the target molecules.
15. The method according to claim 1 , wherein the label is a dye.
16. The method according to claim 1 , wherein the target molecules are biomolecules.
17. The method according to claim 1 , wherein the information processor also obtains, in addition to the expression information, data related to a treatment condition before analysis of a biomolecule.
18. The method according to claim 1 , wherein
the information processor is further configured to:
obtain device information associated with a device for analyzing the target molecules;
obtain label data that can be used in the device on a basis of the device information; and
select a label to be assigned to the target molecules from labels included in the label data.
19. A non-transitory storage medium encoded with instructions that, when executed by a computer, execute a method comprising:
obtaining in vivo expression information of a plurality of target molecules by using information associated with the plurality of target molecules to be analyzed; and
generating support information associated with assignment of a label to each of the plurality of target molecules on a basis of the expression information; and
transmitting the generated support information via a transmitter.
20. A label selection support device comprising:
at least one processor configured to:
obtain in vivo expression information of a plurality of target molecules by using information associated with a plurality of target molecules to be analyzed, and
generate support information associated with assignment of a label to each of the plurality of target molecules on a basis of the expression information; and
transmit the generated support information.