Inscripta, Inc.

Michael Graige

Stephen Federowicz

Deanna Church

Phillip Belgrader

Andrew Garst

Don Masquelier

Richard Fox

Bruce Chabansky

Eileen Spindler

Amy Hiddessen

The present disclosure provides automated modules and instruments for improved detection of nuclease genome editing of live cells. The disclosure provides improved modules&#x2014;including high throughput modules&#x2014;for screening cells that have been subjected to editing and identifying and selecting cells that have been properly edited.

Detection of nuclease edited sequences in automated modules and instruments

The present disclosure methods for identifying binding partners using cell surface display libraries, where the cells of the library display engineered peptides on their cell surfaces for identification of peptides that bind to targets of interest. The engineered peptides are preferably expressed in the cells under conditions that provide both secretion and display of the engineered peptides on the cell surfaces, thus providing access of the engineered peptides to identify potential binding pairs. The cell libraries cab be engineered using an automated editing system that provides for one or more targeted edits per cell.

Methods for identifying selective binding pairs

The present disclosure provides instrumentation and automated methods for creating cell surface display libraries, where the cells of the library display engineered peptides on their cell surfaces for identification of antigens that bind to T-cell receptors. The engineered peptides may be putative antigens or binding regions of the T-cell receptors.

Automated instrumentation for production of T-cell receptor peptide libraries

Automated instrumentation for production of peptide libraries

The present disclosure automated methods for creating cell surface display libraries, where the cells of the library display engineered peptides on their cell surfaces for identification of antigens that bind to T-cell receptors. The engineered peptides are preferably expressed in the cells under conditions that provide both secretion and display of the engineered peptides on the cell surfaces, thus providing access of the engineered peptide antigens to identify potential TCR binding targets. The cell libraries cab be engineered using an automated editing system that provides for one or more targeted edits per cell.

Methods for identifying T-cell receptor antigens

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Boulder, CO, United States of America

Michael Graige