Trio-based phasing using a dynamic Bayesian network
US-9213944-B1 · Dec 15, 2015 · US
US2016357905A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016357905-A1 |
| Application number | US-201514730032-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 3, 2015 |
| Priority date | Jun 3, 2015 |
| Publication date | Dec 8, 2016 |
| Grant date | — |
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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 biomarkers selected based on nucleic acid sequence data. The nucleic acid sequence data may be acquired for a homogeneous or heterogeneous set of cells present in the respective tissue sample.
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1 . A method for interactively evaluating image and data for a tissue sample, comprising: acquiring nucleic acid sequence data for a portion of a tissue sample; selecting a plurality of probes based on the nucleic acid sequence data; generating a cell map comprising an image of the tissue sample on which biomarker expression data generated using the selected probes is displayed; and identifying one or more spatially localized regions-of-interest within the cell map, wherein the regions-of-interest correspond to spatial locations of cells expressing targets of the probes selected based on the nucleic acid sequence data. 2 . The method of claim 1 , wherein selecting the plurality of probes is part of a gene set enrichment analysis performed on the nucleic acid sequence data. 3 . The method of claim 1 , wherein the nucleic acid sequence data is acquired for a tumor, lesion, or abnormality within the tissue sample. 4 . The method of claim 1 , wherein the nucleic acid sequence data comprises mutation information associated with a subset of cells of the tissue sample. 5 . The method of claim 1 , wherein the nucleic acid sequence data is acquired from a homogeneous sample derived from a localized region within the tissue sample. 6 . The method of claim 1 , wherein the nucleic acid sequence data is acquired from a heterogeneous sample derived from the tissue sample without a spatial context linked to the tissue sample. 7 . The method of claim 1 , wherein the plurality of probes comprise labeled or tagged antibodies. 8 . The method of claim 1 , wherein the nucleic acid sequence data is specific to a sequencing region taken from the tissue sample. 9 . The method of claim 1 , wherein the cell map comprises a multiplexed image of the tissue sample. 10 . The method of claim 1 , further comprising: acquiring additional nucleic acid sequence data for the one or more spatially localized regions of interest; selecting additional probes based on the additional nucleic acid sequence data; generating an updated cell map comprising an updated image of the tissue sample exposed to the additional probes; and identifying one or more additional regions-of-interest within the updated cell map, wherein the additional regions-of-interest correspond to spatial locations of cells expressing targets of the probes selected based on the additional nucleic acid sequence data. 11 . A method for interactively evaluating image and data for a tissue sample, comprising: acquiring sequence data for one or more mutations present in a tissue sample; selecting a plurality of immunofluorescent (IF) probes based on the sequence data; generating one or more multiplexed images of the tissue sample using the plurality of IF probes; identifying one or more regions-of-interest within the one or more multiplexed images based on the presence of the IF probes. 12 . The method of claim 11 , wherein the sequence data is acquired for spatially localized regions of the tissue sample. 13 . The method of claim 11 , wherein the sequence data is acquired for a homogeneous cell mixture derived from the tissue sample. 14 . The method of claim 11 , wherein the plurality of IF probes represent a limited subset of available probes. 15 . The method of claim 11 , wherein the one or more identified regions-of-interest correspond to the spatial locations of the one or more mutations within the tissue sample. 16 . A processor-based system, comprising: one or both of a memory or 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 cell map comprising an image of a tissue sample exposed to a plurality of probes, wherein the plurality of probes are selected based on sequence data acquired for the tissue sample; and displaying one or more fields-of-view within the cell map, wherein the fields-of-view displays cells exhibiting one or more mutations associated with the sequence data. 17 . The processor-based system of claim 16 , wherein the one or more executable routines, when executed, perform a gene set enrichment analysis on the sequence data as part of the selection of the plurality of probes. 18 . The processor-based system of claim 16 , wherein the sequence data is acquired for a tumor, lesion, or abnormality within the tissue sample. 19 . The processor-based system of claim 16 , wherein the plurality of probes comprise labeled or tagged antibodies. 20 . The processor-based system of claim 16 , wherein the sequence data is specific to a sequencing region taken from the tissue sample.
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