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公开(公告)号:US11639495B2
公开(公告)日:2023-05-02
申请号:US16455118
申请日:2019-06-27
发明人: Alexander Marson , Gregory G. Lavieu , Annamaria Mocciaro , Theodore L. Roth , Magali Soumillon , Hayley M. Bennett
IPC分类号: C12N5/0783 , B01L3/00 , C12N15/10
摘要: Methods are described herein for isolating clonal populations of T cells having a defined genetic modification. The methods are performed, at least in part, in a microfluidic device comprising one or more sequestration pens. The methods include the steps of: maintaining individual T cells (or precursors thereof) that have undergone a genomic editing process in corresponding sequestration pens of a microfluidic device; expanding the T cells into respective clonal populations of T cells; detecting, in one or more T cells of each clonal population, the absence of a cell surface marker that was present in the individual T cells (or precursors thereof); and detecting, in one or more T cells of each clonal population, the presence of a first nucleic acid sequence that is indicative of the presence of an on-target genome edit in the clonal population of T cells. Also described are compositions comprising one or more clonal populations of T cells isolated according to the methods disclosed herein.
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公开(公告)号:US20200048606A1
公开(公告)日:2020-02-13
申请号:US16455118
申请日:2019-06-27
发明人: Alexander Marson , Gregory G. Lavieu , Annamaria Mocciaro , Theodore L. Roth , Magali Soumillon , Hayley M. Bennett
IPC分类号: C12N5/0783 , B01L3/00 , C12N15/10
摘要: Methods are described herein for isolating clonal populations of T cells having a defined genetic modification. The methods are performed, at least in part, in a microfluidic device comprising one or more sequestration pens. The methods include the steps of: maintaining individual T cells (or precursors thereof) that have undergone a genomic editing process in corresponding sequestration pens of a microfluidic device; expanding the T cells into respective clonal populations of T cells; detecting, in one or more T cells of each clonal population, the absence of a cell surface marker that was present in the individual T cells (or precursors thereof); and detecting, in one or more T cells of each clonal population, the presence of a first nucleic acid sequence that is indicative of the presence of an on-target genome edit in the clonal population of T cells. Also described are compositions comprising one or more clonal populations of T cells isolated according to the methods disclosed herein.
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公开(公告)号:US11521709B2
公开(公告)日:2022-12-06
申请号:US17325196
申请日:2021-05-19
发明人: Darshan Thaker , Keith J. Breinlinger , Vincent Haw Tien Pai , Christoph Andreas Neyer , Thomas M. Vetterli , Hayley M. Bennett , Elisabeth Marie Walczak , Alexander Gerald Olson , Wesley Arthur Zink , John A. Tenney , Oleksandr Tokmakov , Igor Fastnacht , Yuriy Nicheporuk , Andriy Koval , Khrystyna Andres , Alona Kostenko
摘要: Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
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公开(公告)号:US20230282313A1
公开(公告)日:2023-09-07
申请号:US17971400
申请日:2022-10-21
发明人: Darshan Thaker , Keith J. Breinlinger , Vincent Haw Tien Pai , Christoph Andreas Neyer , Thomas M. Vetterli , Hayley M. Bennett , Elisabeth Marie Walczak , Alexander Gerald Olson , Wesley Arthur Zink , John A. Tenney , Oleksandr Tokmakov , Igor Fastnacht , Yuriy Nicheporuk , Andriy Koval , Khrystyna Andres , Alona Kostenko
CPC分类号: G16B40/20 , G16B45/00 , G16B30/20 , B01L3/502784 , G01N15/1463 , B01L2200/027
摘要: Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
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公开(公告)号:US20210272654A1
公开(公告)日:2021-09-02
申请号:US17325196
申请日:2021-05-19
发明人: Darshan Thaker , Keith J. Breinlinger , Vincent Haw Tien Pai , Christoph Andreas Neyer , Thomas M. Vetterli , Hayley M. Bennett , Elisabeth Marie Walczak , Alexander Gerald Olson , Wesley Arthur Zink , John A. Tenney , Oleksandr Tokmakov , Igor Fastnacht , Yuriy Nicheporuk , Andriy Koval , Khrystyna Andres , Alona Kostenko
摘要: Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).
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