System and Method for Determining Quality of Stem Cell Derived Cardiac Myocytes

US2016203262A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016203262-A1
Application numberUS-201414913925-A
CountryUS
Kind codeA1
Filing dateAug 21, 2014
Priority dateAug 23, 2013
Publication dateJul 14, 2016
Grant date

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  5. First independent claim

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Abstract

Official abstract text for this publication.

The present invention relates to a system and method for calculating a quality index of a differentiated cell. To calculate the quality index, the present invention measures a differentiated cell by at least one metric, calculates a strictly standardized mean difference between the differentiated cell and a targeted cell, and calculates a mean squared error versus the target cell to define a value that represents the total difference between the differentiated cell and targeted cell based on the at least one measured metric.

First claim

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1 . A method for calculating a quality index of a differentiated cell, comprising: measuring a differentiated cell by at least one metric; calculating a normalized residue between the differentiated cell and a targeted cell; and calculating a mean squared error (MSE) versus the target cell to define a value that represents the total difference between the differentiated cell and targeted cell based on the at least one measured metric. 2 . The method of claim 1 , wherein the at least one metric is selected from the group consisting of genetic information, electrophysiological information, structural information, and contractile information. 3 . The method of claim 2 , wherein the at least one metric comprises genetic information, electrophysiological information, structural information, and contractile information. 4 . The method of claim 1 , wherein the normalized residue is a strictly standardized mean difference (β). 5 . The method of claim 4 , wherein β is calculated according to the formula: β = μ 1 - μ 2 σ 1 2 + σ 2 2 where μ represents mean and σ represents standard deviation. 6 . The method of claim 5 , wherein MSE is calculated according to the formula: MSE = 1 n  ∑ i = 1 n   β i 2 7 . The method of claim 1 , wherein the differentiated cell is derived from a potent cell. 8 . The method of claim 7 , wherein the potent cell is a stem cell. 9 . The method of claim 8 , wherein the differentiated cell is a myocyte. 10 . The method of claim 9 , wherein the at least one metric is a sarcomere packing density. 11 . The method of claim 1 , wherein information pertaining to the targeted cell is a predetermined value related to the at least one metric. 12 . The method of claim 1 , wherein a lower MSE value is indicative of greater similarity between the differentiated cell and the targeted cell. 13 . A system for calculating a quality index of a differentiated cell, comprising a software platform run on a computing device that calculates a normalized residue between a differentiated cell and a targeted cell, and calculates a mean squared error (MSE) versus the target cell to define a value that represents the total difference between the differentiated cell and targeted cell based on at least one measured metric of the differentiated cell. 14 . The system of claim 13 , wherein the normalized residue is a strictly standardized mean difference (β). 15 . The system of claim 14 , wherein β is calculated according to the formula: β = μ 1 - μ 2 σ 1 2 + σ 2 2 where μ represents mean and σ represents standard deviation. 16 . The system of claim 15 , wherein MSE is calculated according to the formula: MSE = 1 n  ∑ i = 1 n   β i 2 17 . The system of claim 13 , wherein the at least one metric is selected from the group consisting of genetic information, electrophysiological information, structural information, and contractile information. 18 . The system of claim 17 , wherein the at least one metric comprises genetic information, electrophysiological information, structural information, and contractile information. 19 . The system of claim 13 , wherein a lower MSE value is indicative of greater similarity between the differentiated cell and the targeted cell. 20 . The system of claim 13 , wherein the differentiated cell is derived from a potent cell. 21 . The system of claim 19 , wherein the potent cell is a stem cell. 22 . The system of claim 13 , wherein the differentiated cell is a myocyte. 23 . The system of claim 21 , wherein the at least one metric is a sarcomere packing density.

Assignees

Inventors

Classifications

  • for testing the pathological state of an organism · CPC title

  • involving human or animal cells (immunoassay G01N33/56966; immunoassays of protozoa G01N33/56905; protozoa in screening assays C12Q1/025) · CPC title

  • ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding · CPC title

  • Stem cells · CPC title

  • G06F19/24Primary

    Physics · mapped topic

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What does patent US2016203262A1 cover?
The present invention relates to a system and method for calculating a quality index of a differentiated cell. To calculate the quality index, the present invention measures a differentiated cell by at least one metric, calculates a strictly standardized mean difference between the differentiated cell and a targeted cell, and calculates a mean squared error versus the target cell to define a va…
Who is the assignee on this patent?
Harvard College
What technology area does this patent fall under?
Primary CPC classification G01N33/5073. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jul 14 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).