Compositions and methods for identifying and using cis-regulatory and decoy sequences are disclosed.

Presented herein is a high-throughput (HTP) genomic engineering platform for improving the production of therapeutic proteins in Chinese hamster ovary (CHO) cells. The disclosed HTP genomic engineering platform is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. The platform utilizes a unique suite of HTP genetic engineering tools to explore the genomic landscape associated with therapeutic protein production pathways, in order to unravel the biological drivers and disentangle the uncharacterized genetic architecture responsible for optimizing therapeutic protein production in CHO cells.

The present disclosure provides synthetic modular polypeptide libraries and nucleic acids encoding such synthetic modular polypeptide libraries. Also provided are methods of making synthetic modular polypeptide libraries and nucleic acids encoding synthetic modular polypeptide libraries. Methods of screening a synthetic modular polypeptide library to identify a selected phenotype associated with a member of a synthetic modular polypeptide library are also provided where such methods find use in both in vitro and in vivo assays.

The present disclosure provides synthetic modular polypeptide libraries and nucleic acids encoding such synthetic modular polypeptide libraries. Also provided are methods of making synthetic modular polypeptide libraries and nucleic acids encoding synthetic modular polypeptide libraries. Methods of screening a synthetic modular polypeptide library to identify a selected phenotype associated with a member of a synthetic modular polypeptide library are also provided where such methods find use in both in vitro and in vivo assays.

Provided herein are methods and composition for trackable genetic variant libraries. Further provided herein are methods and compositions for recursive engineering. Further provided herein are methods and compositions for multiplex engineering. Further provided herein are methods and compositions for enriching for editing and trackable engineered sequences and cells using nucleic acid-guided nucleases.

The invention relates to methods, kits, and compositions for reducing the level of or eliminating antimicrobial resistant (AMR) bacteria in situ. The invention encompasses compositions and methods for selectively eradicating antibiotic resistance in bacteria that carry antibiotic resistance genes in the microbiota using packaged phagemids. The microbiota can be intestinal and the packaged phagemids can be administered to a healthy subject or patient, for example, orally, rectally (e.g., in an enema), vaginally, nasally or to the skin. The phagemid encodes a nuclease or other enzyme that genetically modifies the DNA encoding the antibiotic resistance gene so that the bacteria can then be eliminated with the antibiotic.

The present disclosure provides synthetic modular polypeptide libraries and nucleic acids encoding such synthetic modular polypeptide libraries. Also provided are methods of making synthetic modular polypeptide libraries and nucleic acids encoding synthetic modular polypeptide libraries. Methods of screening a synthetic modular polypeptide library to identify a selected phenotype associated with a member of a synthetic modular polypeptide library are also provided where such methods fmd use in both in vitro and in vivo assays.

The present disclosure provides synthetic modular polypeptide libraries and nucleic acids encoding such synthetic modular polypeptide libraries. Also provided are methods of making synthetic modular polypeptide libraries and nucleic acids encoding synthetic modular polypeptide libraries. Methods of screening a synthetic modular polypeptide library to identify a selected phenotype associated with a member of a synthetic modular polypeptide library are also provided where such methods fmd use in both in vitro and in vivo assays.

Methods for identifying biosynthetic gene clusters that include genes for producing compounds that interact with specific target proteins are disclosed. Some methods relate to bioinformatics methods for identifying and/or prioritizing biosynthetic gene clusters. Related systems, components, and tools for the identification and expression of such gene clusters are also disclosed.

The subject matter disclosed herein is generally directed to methods and compositions for tagging cells of interest, tracking evolution of the tagged cells, and recovering the original tagged cells for further study. Specifically, cells are tagged with a DNA construct encoding a barcode sequence comprising a guide sequence. Barcoded cells can then be recovered using a reporter construct having CRISPR target sequences specific for the cell having a barcode of interest.