SNORD3D Gene

Name small nucleolar RNA, C/D box 3D
Description Predicted to be involved in RNA processing. Predicted to be located in nucleolus. [provided by Alliance of Genome Resources, Mar 2025]
Synonyms U3-4, RNU3-4
NCBI Gene ID 780854
API
Download Associations
Predicted Functions View SNORD3D's ARCHS4 Predicted Functions.
Co-expressed Genes View SNORD3D's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View SNORD3D's ARCHS4 Predicted Functions.

Functional Associations

SNORD3D has 316 functional associations with biological entities spanning 3 categories (chemical, cell line, cell type or tissue, gene, protein or microRNA) extracted from 6 datasets.

Click the + buttons to view associations for SNORD3D from the datasets below.

If available, associations are ranked by standardized value

Dataset Summary
GEO Signatures of Differentially Expressed Genes for Gene Perturbations gene perturbations changing expression of SNORD3D gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.
GEO Signatures of Differentially Expressed Genes for Small Molecules small molecule perturbations changing expression of SNORD3D gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset.
GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations transcription factor perturbations changing expression of SNORD3D gene from the GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations dataset.
GTEx Tissue Gene Expression Profiles tissues with high or low expression of SNORD3D gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset.
GTEx Tissue Sample Gene Expression Profiles tissue samples with high or low expression of SNORD3D gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset.
Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles cell lines with high or low copy number of SNORD3D gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.