Biological data annotation and visualization
View Patent ↗Identification of regions-of-interest within cell maps is disclosed. In certain embodiments, identification of the regions-of interest is based on the use of a plurality of biomarkers, which may be used to generate a multiplexed image of a tissue sample. Based on the identified regions, cells may be extracted and localized sequence data may be generated specific to the regions-of-interest.
1. A method for acquiring region-of-interest specific sequence data, comprising:
selecting a plurality of probes of interest;
generating a cell map comprising an image of a tissue sample on which biomarker expression data generated using the selected probes is displayed;
identifying one or more regions-of-interest within the cell map in which cells are tagged by one or more of the probes;
extracting one or more cells from at least one of the regions-of-interest from the tissue sample; and
sequencing nucleic acids present in the one or more cells to generate region-of-interest based sequence data.
2. The method of claim 1 , wherein the nucleic acid sequence data is indicative of one or more mutations associated with the one or more cells within the regions-of-interest.
3. The method of claim 1 , wherein the plurality of probes comprise labeled or tagged antibodies.
4. The method of claim 1 , wherein the cell map comprises a multiplexed image of the tissue sample.
5. The method of claim 1 , further comprising:
selecting additional probes based on the region-of-interest based sequence data;
generating an updated cell map comprising an updated image of the tissue sample exposed to the additional probes;
identifying one or more additional regions-of-interest within the updated cell map in which cells are tagged by one or more of the probes; and
extracting one or more additional cells from at least one of the additional regions-of-interest from the tissue sample; and
sequencing nucleic acids present in the one or more additional cells to generate additional region-of-interest based sequence data.
6. The method of claim 1 , wherein identifying one or more regions-of-interest within the cell map comprises identifying regions-of-interest exhibiting expression of proteins, nucleic acids, or other biological activity of interest.
7. The method of claim 1 , wherein extracting one or more cells from at least one of the regions-of-interest from the tissue sample comprises extracting a spatially localized section of the tissue sample at a spatial location corresponding to a respective region-of-interest.
8. The method of claim 7 , wherein the respective region-of-interest corresponds to a field-of-view of the cell map and the spatially localized section differs in one or both of size or shape from the field-of-view.
9. A method for acquiring spatially selected nucleic acid sequence data, comprising:
generating a multiplexed immunofluorescent (IF) image of a tissue sample using a plurality of IF probes;
identifying one or more regions-of-interest within the multiplexed IF image, wherein the regions-of-interest exhibit biomarker expression to at least one of the plurality of IF probes;
sampling one or more of the regions-of-interest to acquire cells from the sampled regions-of-interest;
sequencing nucleic acids present in the acquired cells to generate an indication of mutations present in the acquired cells.
10. The method of claim 9 , wherein the plurality of IF probes is selected from a larger library of IF probes.
11. The method of claim 9 , wherein the plurality of IF probes comprise labeled or tagged antibodies.
12. The method of claim 9 , wherein the biomarker expression is indicative of expression of proteins, nucleic acids, or other biological activity of interest.
13. The method of claim 9 , comprising:
based upon the indication of mutations present, selecting additional IF probes;
generating a second multiplexed IF image of the tissue sample using the additional IF probes;
identifying one or more additional regions-of-interest within the second multiplexed IF image, wherein the additional regions-of-interest exhibit biomarker expression to at least one of the additional IF probes.
14. The method of claim 9 , wherein the indication of mutations present in the acquired cells comprises nucleic acid sequence data for the acquired cells.
15. A processor-based system, comprising:
one or both of a non-transitory memory or non-transitory storage device storing one or more executable routines for the analysis of region-specific nucleic acid sequence data and cellular or sub-cellular biomarker data;
one or more processors configured to execute the one or more executable routines which, when executed cause acts to be performed comprising:
generating a multiplexed immunofluorescent (IF) image of a tissue sample exposed to a plurality of probes;
displaying one or more regions-of-interest within the multiplexed IF image, wherein the regions-of-interest exhibit biomarker expression to at least one of the plurality of probes; and
upon sequencing nucleic acids present in of cells extracted from the regions-of-interest, displaying sequence data for the extracted cells.
16. The processor-based system of claim 15 , wherein the sequence data comprises a mutational profile of the extracted cells.
17. The processor-based system of claim 15 , wherein the one or more executable routines, when executed, identify one or more fields-of-view corresponding to the regions-of-interest and wherein displaying the one or more regions-of-interest comprises displaying the fields-of-view.
18. The processor-based system of claim 15 , wherein the biomarker expression is indicative of expression of proteins, nucleic acids, or other biological activity of interest.
19. The processor-based system of claim 15 , wherein the plurality of probes comprise labeled or tagged antibodies.
20. The processor-based system of claim 15 , wherein the routines, when executed, perform iterated steps which generate subsequent multiplexed IF images using probes selected based on the sequence data determined for the regions of interest.