Biological data annotation and visualization

US2016357905A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016357905-A1
Application numberUS-201514730032-A
CountryUS
Kind codeA1
Filing dateJun 3, 2015
Priority dateJun 3, 2015
Publication dateDec 8, 2016
Grant date

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Abstract

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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.

First claim

Opening claim text (preview).

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.

Assignees

Inventors

Classifications

  • G16B45/00Primary

    ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks · CPC title

  • ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression · CPC title

  • In situ hybridisation · CPC title

  • Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" (in vivo A61B5/00; immunoassay G01N33/53) · CPC title

  • Measuring fluorescence of biological material, e.g. DNA, RNA, cells (G01N21/6428 takes precedence) · CPC title

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What does patent US2016357905A1 cover?
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.
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification G16B45/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Dec 08 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).