California Institute of Technology

Michael B Elowitz

Mark William Budde

Lucy S Chong

Xiaojing Gao

James Linton

Viviana Gradinaru

Michael Flynn

Xiaofei Ge

Acacia Hori

Heidi Klumpe

Matthew Sun-min Kim

Matthew S-m Kim

Yaron E Antebi

Ronghui Zhu

Long Cai

Lacramioara Bintu

John Yong

Yitong Ma

Michaelle N Mayalu

Amjad Askary

Carlos Lois

Luis Sanchez Guardado

Disclosed herein include methods, compositions, and kits suitable for robust and tunable control of payload gene expression. Some embodiments provide rationally designed circuits, including miRNA-level and/or protein-level incoherent feed-forward loop circuits, that maintain the expression of a payload at an efficacious level. The circuit can comprise a promoter operably linked to a polynucleotide encoding a fusion protein comprising a payload protein, a protease, and one or more self-cleaving peptide sequences. The payload protein can comprise a degron and a cut site the protease is capable of cutting to expose the degron. The circuit can comprise a promoter operably linked to a polynucleotide comprising a payload gene, a silencer effector cassette, and one or more silencer effector binding sequences.

Method for robust control of gene expression

Disclosed herein include methods, compositions, and kits suitable for use in thresholding of protein signals. There are provided, in some embodiments, synthetic protein circuits that respond to inputs only above or below a certain threshold concentration. In some embodiments, the threshold value itself is tunable. Methods of treating a disease or disorder characterized by aberrant signaling are provided in some embodiments.

Synthetic system for tunable thresholding of protein signals

Disclosed herein include circuits, compositions, nucleic acids, populations, systems, and methods enabling cells to sense, control, and/or respond to their own population size. In some embodiments, an orthogonal communication channel allows specific communication between engineered cells. Also described herein, in some embodiments, is an evolutionarily robust 'paradoxical' regulatory circuit architecture in which orthogonal signals both stimulate and inhibit net cell growth at different signal concentrations. In some embodiments, engineered cells autonomously reach designed densities and/or activate therapeutic or safety programs at specific density thresholds. Methods of treatment are also provided in some embodiments.

Synthetic mammalian signaling circuits for robust cell population control

The present disclosure relates to systems, methods and compositions provided herein that include a compound protease. The compound protease can contain a protease domain, a cut site for another enzyme and an association domain. In some embodiments, the compound protease is part of a protein circuit.

Programmable protein circuits in living cells

Disclosed herein include methods, compositions, and systems suitable for use in delivering a polynucleotide to a target cell of a subject in need thereof. In some embodiments, a viral vector comprises a polynucleotide encoding nucleoprotein (N), phosphoprotein (P), matrix protein (M), RNA-dependent RNA polymerase (L), and one or more transgenes. The viral vector can comprise one or more of a conditionally stable fusion protein, a protease fusion protein, a degron fusion protein, and/or a glycoprotein derived of another species than the viral vector polynucleotide to enable control of viral vector transduction and/or replication.

RNA-based delivery systems with levels of control

A method of controlling the number of cells in a population of cells having silenced transcription of a target nucleic acid as a function of time includes recruiting a chromatin regulator (CR) to a site proximal to a transcription initiation site of the target nucleic acid to form a fraction of silenced cells in the population of cells. The chromatin regulator may be EED, KRAB, DNMT3, HDAC4, EZH2, REST, or a combination thereof.

Fractional regulation of transcription

Methods and compositions are provided for the selective activation of a BMP-dependent response in certain cell types. Methods include identifying a ligand or ligand combinations as well as cell receptor profiles that result in selectively activating a ligand-dependent response through interactions with ligand receptors on a first cell type that do not activate the ligand-dependent response in a second cell type.

Compositions and methods for programmable sensing and control through combinatorial molecular interactions

Disclosed herein include methods, compositions, and kits suitable for use in detecting the activation level of a signal transducer. In some embodiments, there are provided synthetic protein circuits wherein recruitment of synthetic protein circuit components to an association location upon activation of a signal transducer generates an active effector protein. The effector protein can be configured to carry out a variety of functions when in an active state, such as, for example, inducing cell death. Methods of treating a disease or disorder characterized by aberrant signaling are provided in some embodiments.

Synthetic protein circuits detecting signal transducer activity

Disclosed herein include systems, methods, compositions, and kits for in situ readout of barcodes, such as DNA barcodes. Barcode constructs containing a promoter (e.g., a phage promoter) that is inactive in live cells can be integrated in the genomes of cells. Cells can be fixed, and phage RNA polymerase can be used for transcription of the barcode to RNA transcripts. The RNA transcripts can be detected using, for example, fluorescent imaging and used to determine barcode sequences.

In situ readout of DNA barcodes

Some embodiments of the systems, methods and compositions provided herein relate to a compound protease. In some embodiments, the compound protease includes a protease domain and a cut site for another enzyme. In some embodiments, the compound protease includes an association domain. In some embodiments, the compound protease is part of a protein circuit.

Growing community of inventors

Pasadena, CA, United States of America

Michael B Elowitz