We develop, apply and translate scalable genetic discovery technologies in primary human cells. The lab has developed CRISPR-All, a unified genetic perturbation language for programming any major type of genetic perturbation simultaneously, in any combination, at genome scale, in primary human cells. A driving goal in applying these technologies is learning how to build new human genes tailor made for a specific cell and specific environment to drive previously inaccessible cellular functions and states.
Through the design, exploration, and application of new human genes, we aim to build on the extraordinary power of natural evolution to discover new useful cellular states for genetically encoded therapies across complex human diseases.
Natural evolution programs drastic changes in cellular function through genetic changes to a cell’s genome. Both germline and somatic evolution simultaneously and combinatorially explore complex genetic changes across perturbation classes, including gene knockouts, knockdowns, overexpression, and the creation of new genes from existing domains. Separate bespoke technologies have been developed to perform each of these types of genetic perturbations at scale in human cells, but these methods are largely mutually incompatible.
We have developed CRISPR-All, a unified genetic perturbation language for programming of any major type of genetic perturbation simultaneously, in any combination, at genome scale, in primary human cells. Analogous to computational programming languages, CRISPR-All converts high level descriptions of desired complex genetic changes into a single DNA sequence that can rewire genomic programs within a cell.
CRISPR-All allows for comprehensive analysis of genetic enhancements, such as direct comparisons of all proposed human CAR-T cell functional enhancements from over 30 years of study simultaneously head to head. Arbitrarily multiplexed genome scale screens of combinatorial genetic perturbations can easily be designed, constructed, and run. And CRISPR-All is natively compatible with single cell sequencing, allowing high throughput linkage of complex, multiplexed genetic perturbation programs with high dimensional phenotypes in primary human cells. Across disease settings and human cell types, CRISPR-All enables exploration of a combinatorial genetic perturbation space similar to the genetic diversity accessed by natural evolution, allowing us to more fully explore basic evolutionary mechanisms and clinical applications of genetic perturbations.
Evolution simultaneously and combinatorially explores complex genetic changes across perturbation classes, including gene knockouts, knockdowns, overexpression, and the creation of new genes from existing domains. Separate technologies are capable of genetic perturbations at scale in…
bioRxiv, / 2025
Adoptive transfer of genetically modified immune cells holds great promise for cancer immunotherapy. CRISPR knockin targeting can improve cell therapies, but more high-throughput methods are needed to test which knockin gene constructs most potently enhance…
Cell, 30;181(3):728-744.e21. / 2020
Chronic stimulation can cause T cell dysfunction and limit the efficacy of cellular immunotherapies. Improved methods are required to compare large numbers of synthetic knockin (KI) sequences to reprogram cell functions. Here, we developed modular…
Cell, 186(19):4216-4234.e33 / 2023
Human cells are capable of a wondrous diversity of functions in both health and disease, and the various cell states that are naturally accessible can be therapeutically manipulated by drugs, biologics, and increasingly by genetic medicines. But the set of desirable and therapeutically useful functions of human cells may not be confined only to naturally accessible cell states. Using CRISPR-All format high-throughput screening, we have begun to explore how non-evolved but therapeutically useful human cellular states and functions can be generated by constructing new, non-evolved human genes.
Screening of over 250,000 non-evolved human genes across protein classes has revealed that functional non-evolved human genes are surprisingly easy to discover, when limited to a single cell type in a single functional context, especially for enhancing human immune cell function for cancer therapies. We are beginning to uncover underlying rules and optimal design strategies for the construction of new human genes. We aim to learn how to systematically predict and model the effects of introducing new human genes on primary human cells, ultimately enabling de novo human gene design for desired human cell state transformations and therapeutic functions.
Protein-coding genes in the human genome evolved via modular rearrangement of domains from ancestral genes1. Here, we develop a scalable, evolutionarily guided method to assemble novel protein-coding genes from constituent domains within a protein family,…
bioRxiv, / 2024
Chronic stimulation can cause T cell dysfunction and limit the efficacy of cellular immunotherapies. Improved methods are required to compare large numbers of synthetic knockin (KI) sequences to reprogram cell functions. Here, we developed modular…
Cell, 186(19):4216-4234.e33 / 2023
Adoptive transfer of genetically modified immune cells holds great promise for cancer immunotherapy. CRISPR knockin targeting can improve cell therapies, but more high-throughput methods are needed to test which knockin gene constructs most potently enhance…
Cell, 30;181(3):728-744.e21. / 2020
Genetically encoded therapies offer the promise for programmable, rapidly adaptable, and ultimately more powerful therapeutic cellular manipulations. We have applied successive generations of genetic discovery and gene design technologies to develop improved engineered human TCR and CAR T cell therapies for cancer immunotherapy. Yet the challenges posed by complex disease such as cancer, autoimmunity, neurodegeneration, and aging continue to resist current generations of genetic, as well as small molecule and biologic therapies.
We continue to develop and apply ever more powerful genetic discovery tools to identify complex combinations of genetic manipulations, as well as new gene designs, to drive more powerful cellular therapies. We pair these input sequences with ever improving ex vivo and in vivo delivery modes across human cell types, with the long term aim to understand and therapeutically translate dynamic genetic therapies, ensuring the right sequence is expressed by the right cell at the right time to change the course of a patient’s complex disease.
Chronic stimulation can cause T cell dysfunction and limit the efficacy of cellular immunotherapies. Improved methods are required to compare large numbers of synthetic knockin (KI) sequences to reprogram cell functions. Here, we developed modular…
Cell, 186(19):4216-4234.e33 / 2023
Decades of work have aimed to genetically reprogram T cells for therapeutic purposes1,2 using recombinant viral vectors, which do not target transgenes to specific genomic sites3,4. The need for viral vectors has slowed down research and…
Nature, 559(7714):405-409. / 2018