IP Library Granted Patent US 11,551,783
Granted Patent B2
US 11,551,783 · App. 16/479,725 · Granted Jan 10, 2023

Label selection support system, label selection support device, method of supporting label selection, and program for supporting label selection

Inventors: Kazuhiro Nakagawa (Saitama, JP); Teruaki Iyama (Kanagawa, JP); Takuya Kishimoto (Tokyo, JP)
Assignee: Sony Corporation
G16B25/10G06N20/00G16B40/00G16B45/00
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Quick Facts
Patent No.
US 11,551,783
App. No.
16/479,725
Granted
Jan 10, 2023
Kind
B2
Abstract

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, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information 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.

Claims (38)

1. A label selection support system comprising:

circuitry configured to function as 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, by using the information associated with the plurality of target molecules, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of target molecules, and generates support information associated with assignment of a label to each of the plurality of target molecules on a basis of the expression information; and

a transmitter that transmits the generated support information via the network.

2. The label selection support system according to claim 1 , wherein the expression information is information associated with in vivo expression distribution or an in vivo expression level.

3. The label selection support system 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 label selection support system 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 label selection support system 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 label selection support system 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 label selection support system 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 label selection support system 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 label selection support system 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 label selection support system 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.

11. The label selection support system 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.

12. The label selection support system 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.

13. The label selection support system 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.

14. The label selection support system 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.

15. The label selection support system according to claim 14 , wherein the information processor further includes a treatment condition selection unit that refers to the treatment condition data table generated for each biomolecule to select a treatment condition under which more biomolecules can be analyzed.

16. The label selection support system according to claim 1 , wherein the label is a dye.

17. The label selection support system according to claim 1 , wherein the target molecules are biomolecules.

18. The label selection support system 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.

19. The label selection support system 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, from a database, 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.

20. A label selection support device comprising:

an information processor that

obtains, by using information associated with a plurality of target molecules to be analyzed, in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of target molecules, and

generates support information associated with assignment of a label to each of the plurality of target molecules on a basis of the expression information.

21. A method of supporting label selection, comprising:

by using information associated with a plurality of target molecules to be analyzed, obtaining in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of the target molecules; 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.

22. A non-transitory storage medium encoded with instructions that, when executed by a computer, execute a method comprising:

by using information associated with a plurality of target molecules to be analyzed, obtaining in vivo expression information of the plurality of target molecules from a database storing in vivo expression information of the target molecules; 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.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 24, 2019
From: NAKAGAWA, KAZUHIRO; IYAMA, TERUAKI; KISHIMOTO, TAKUYA
To: SONY CORPORATION
Reel/Frame 050811/0961 →
Priority Claims (1)
JP JP2017-228662 · Nov 29, 2017 · national
Continuity (1)
Related Publication 20210335450A1 · Oct 28, 2021