Verily Life Sciences LLC

Vnv Newco Inc.

X Development LLC

Ian Peikon

Gary Tong

Zachary Gilbert

Ci Chu

Colin Malone

Jessica Crisp

Daniel Liu

Andrey Pisarev

Adam Fraites

Andrew Homyk

Jason Donald Thompson

Victor Marcel Acosta

Jerrod Joseph Schwartz

Cheng-Hsun Wu

Tammo Spalink

Paul M Lebel

Chirath Thouppaurachchi

Provided herein are compositions and methods for the identification of an expression profile in a single cell or population of cells. Kits for use with the disclosed methods are also provided, including antibodies, with a unique molecular identifier and antibody identifier, and primers for amplification of the antibody identifier sequence.

Quantitative massively parallel proteomics

Nucleic acids encoding endogenous Gag peptides can be isolated from various organisms. Nucleic acids encoding various endogenous Gag polypeptides can be isolated from human DNA. The nucleic acids can be used to express endogenous Gag polypeptides that can be assembled into capsids. Endogenous Gag polypeptides and capsids can be used package cargo and/or deliver it to cells, for example, to package and/or deliver a nucleic acid molecule for use in gene editing, such as a component involved in a CRISPR-Cas system.

Endogenous Gag-based capsids and uses thereof

Disclosed herein, in certain embodiments, are recombinant Arc and endogenous Gag polypeptides, and methods of using recombinant Arc and endogenous Gag polypeptides.

Provided herein are methods, systems, kits and compositions for identifying nucleic acids of interest from individual cells. The methods include isolating single cells on electrodes and identifying nucleic acids of interest from the isolated cells by sequencing.

Methods of identifying nucleic acids from a single cell using an electrical cell-trapping array

The behavior and/or internal activities of a microorganism can be simulated using a model of the microorganism. Such simulations can be used to determine the efficacy of treatments, disinfectants, antibiotics, chemotherapies, or other methods of interacting with the microorganism, or to provide some other information about the microorganism. Systems and methods are provided herein for fitting, refining, or otherwise improving such models in an automated fashion. Such systems and methods include performing whole-cell experiments to determine a correspondence between the predictions of such models and the actual behavior of samples of the microorganism. Such systems and methods also include, based on such determined correspondences, directly assessing determined discrete sets of properties of the microorganism and/or of constituents of the microorganism and updating parameters of the model corresponding to the properties of the discrete set such that the overall accuracy of the model is improved.

Simulating living cell in silico

Methods are provided to identify spatially and spectrally multiplexed probes in a biological environment. Such probes are identified by the ordering and color of fluorophores of the probes. The devices and methods provided facilitate determination of the locations and colors of such fluorophores, such that a probe can be identified. In some embodiments, probes are identified by applying light from a target environment to a spatial light modulator that can be used to control the direction and magnitude of chromatic dispersion of the detected light; multiple images of the target, corresponding to multiple different spatial light modulator settings, can be deconvolved and used to determine the colors and locations of fluorophores. In some embodiments, light from a region of the target can be simultaneously imaged spatially and spectrally. Correlations between the spatial and spectral images over time can be used to determine the color of fluorophores in the target.

Spectrally and spatially multiplexed fluorescent probes for in situ cell labeling

The invention relates to methods and compositions useful for detection of protein-protein interactions between cell surface proteins.

Growing community of inventors

Bethpage, NY, United States of America

Ian Peikon