Provided herein are compositions and methods for identifying and using stem cell regulation factors. For example, in some embodiments, provided herein are compositions and methods for identifying stem cell regulation factors using marker gene expression libraries. Also provided herein are compositions and methods for generating differentiated cells lines and uses of such cell lines.

Provided herein are compositions and methods for identifying and using stem cell regulation factors. For example, in some embodiments, provided herein are compositions and methods for identifying stem cell regulation factors using marker gene expression libraries. Also provided herein are compositions and methods for generating differentiated cells lines and uses of such cell lines.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alga, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

The invention provides methods for generating pools of variants of DNA templates, and methods of using pools of variants to identify sequences involved in conferring sensitivity or resistance to environmental factors.

The present disclosure provides a microbial genomic engineering method and system for transforming, screening, and selecting filamentous fungal cells that have altered morphology and/or growth under specific growth conditions. The method and system utilize high-throughput (HTP) methods to produce filamentous fungal production strains with a desired morphological phenotype.

Compositions, kits and methods are provided for genetic screening using one or more sets of guide RNA constructs having internal barcodes (“iBAR”). Each set has three or more guide RNA constructs targeting the same genomic locus, but embedded with different iBAR sequences.

Compositions, kits and methods are provided for genetic screening using one or more sets of guide RNA constructs having internal barcodes (“iBAR”). Each set has three or more guide RNA constructs targeting the same genomic locus, but embedded with different iBAR sequences.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

The invention encompasses compositions, kits and methods for modifying bacteria, preferably naturally occurring bacteria, in situ. These can be used to treat, prevent or cure microbiome-associated diseases or disorders by modulating the molecules expressed and/or secreted by bacterial populations of the microbiome in a specific manner. The genomic modifications can modify the interactions between part or all of these populations and the host in a way that decreases their deleterious potential on host health. The compositions, kits and methods of the invention do not result in the direct death of these populations or a direct significant inhibition of their growth. The invention further includes methods for screening for genetic modifications in the bacteria, for determining the efficiency of vectors at inducing these genetic mutations, and for determining the effects of these mutations on bacterial growth.