GO Pathway Library and CRISPR Cell Models GO Pathway Library and CRISPR Cell Models

Pathways Library - Explore Biological Pathways, Key Genes and CRISPR Cell Models

Pathways Library connects Gene Ontology (GO) pathway knowledge with advanced CRISPR cell engineering at EDITGENE.

Explore 18,000+ pathways to find:

Definitions and mechanisms
Key genes and disease links
Experimental models and methods
CRISPR cell models for validation

18,000+ Pathways • Biological Processes • Molecular Functions • Cellular Components

Need a Cell Model for a Pathway Gene?

Custom and ready-to-use CRISPR cell models, validated at sequence and protein level.

Custom knockout cell lines and knock-in cell lines
Send us the gene and cell background — we deliver sequence- and protein-validated clones.
Point mutation models for disease variants
Model your exact variant in its endogenous locus.
Functional validation support
Proliferation, colony formation, drug-response and signalling readouts on your edited lines.
Request a custom cell model Browse ready-to-use models

About the Pathways Library

The EDITGENE Pathways Library is a searchable database of over 18,000 Gene Ontology pathways — biological processes, molecular functions and cellular components. Each entry provides a plain-language definition, mechanism, key genes, disease associations, experimental models and validated literature references. Researchers use it to connect pathway knowledge to CRISPR cell models for gene function studies, drug-target validation and disease research. Search by pathway name, GO ID or gene ID.

Frequently Asked Questions

A free, searchable database of 18,000+ Gene Ontology pathways built by EDITGENE, with definitions, key genes, disease links and experimental models for each pathway.
Search by pathway name, GO ID or gene ID — or browse by ontology class or research theme.
A definition, mechanism, key genes, disease associations, experimental models, research methods, CRISPR applications and validated references.
Yes — every reference is retrieved from PubMed and carries a real, clickable PMID.
Yes. EDITGENE provides custom knockout, point mutation, knock-in and overexpression cell lines, validated at sequence and protein level.
Definitions follow the Gene Ontology release recorded on each page; new pathways are added in batches.
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