Comparative GO Graph (mouse, human)

• Source: Alliance of Genome Resources

Graphs for Molecular Function, Cellular Component, Biological Process generated Fri Mar 10 16:36:22 2023.

Complete table of the annotations represented in this image is provided below.

Graphs display curated GO classifications for mouse, human, rat and zebrafish orthologs annotated from the biomedical literature.

• This class contains
  • Human genes MIR448
  • Mouse genes Mir448
  • Rat genes
  • Zfish genes
• Annotations are indicated with nodes colored by organism: Human, Mouse, Rat, Zfish
• Relations between GO terms are indicated by colored edges "is_a"; "part_of"; "regulates"; "positively_regulates"; "negatively_regulates"
• GO annotations: Human from GOA; Mouse from MGI; Rat from RGD; Zebrafish from ZFIN.
• Only experimental annotations are displayed: EXP, IDA, IEP, IGI, IMP, IPI, HTP, HDA, HMP, HGI, HEP. Evidence codes are listed at the bottom of the page.

Molecular Function

Cellular Component

Biological Process

Full set of experimental annotations for Human-Rat-Zebrafish genes considered orthologs of Mouse in the Alliance stringent orthology set Mir448

Category	ID	Classification term	Gene	Evidence	Inferred from	Organism	Reference
Biological Process	GO:0045596	negative regulation of cell differentiation	Mir448	IDA		Mouse	PMID:20719859
Biological Process	GO:0045599	negative regulation of fat cell differentiation	Mir448	IMP		Mouse	PMID:20719859
Biological Process	GO:0017148	negative regulation of translation	Mir448	IDA		Mouse	PMID:20719859

Gene Ontology Evidence Code Abbreviations:

  EXP Inferred from experiment

  IDA Inferred from direct assay

  IEP Inferred from expression pattern

  IGI Inferred from genetic interaction

  IMP Inferred from mutant phenotype

  IPI Inferred from physical interaction

  HTP Inferred from High Throughput Experiment

  HDA Inferred from High Throughput Direct Assay

  HMP Inferred from High Throughput Mutant Phenotype

  HGI Inferred from High Throughput Genetic Interaction

  HEP Inferred from High Throughput Expression Pattern