| HGNC Family | Non-coding RNAs |
| Name | small nucleolar RNA, C/D box 84 |
| Description | Predicted to be involved in RNA processing. Predicted to be located in nucleolus. [provided by Alliance of Genome Resources, Mar 2025] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nAlthough none of the provided studies directly examine SNORD84, the collective insights from these diverse investigations into cardiomyopathy, muscle function, and neurodegeneration help define the broader regulatory networks in which small non‐coding RNAs—such as SNORD84—may participate. In general, small nucleolar RNAs are known to guide chemical modifications (for example, 2′‑O‑methylation) of ribosomal RNAs and other RNA species, thereby fine‑tuning ribosome biogenesis and protein synthesis. Given that many of these studies document how precise regulation of protein expression (including key players like muscle LIM protein [MLP]) dictates cellular responses during stress and injury, it is plausible that SNORD84 contributes to these processes by indirectly influencing the translational capacity and homeostasis in tissues under pathological stress."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "8"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn studies of heart muscle disease and cardiac remodeling, loss‑ or mutation‑driven deficiencies in proteins such as MLP result in maladaptive responses including dilated cardiomyopathy, impaired contractility, and disrupted Ca²⁺ handling. These findings underscore the importance of tight post‑transcriptional and post‑translational regulatory mechanisms in the heart. Although the mechanistic evaluations in these models focused on protein–protein interactions and signaling cascades (for example, MLP’s role at the sarcomeric Z‑disk and its influence on calcineurin–NFAT activation), such cellular processes might also be influenced by small nucleolar RNAs that regulate ribosomal function and thereby protein synthesis."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "9", "end_ref": "14"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nBeyond the myocardium, research in neuronal and sensory systems has revealed that orchestrated changes in gene expression are critical for regeneration and developmental homeostasis. For example, induced expression of MLP in retinal ganglion cells promotes axon regrowth, suggesting that modulation of the cytoskeleton and transcriptional programs is essential for nerve repair. Although these studies concentrate on protein regulators, they highlight a cellular context in which RNA‐directed modifications—potentially mediated by snoRNAs like SNORD84—may support the adaptive responses required for tissue regeneration."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "15"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nFinally, investigations into skeletal muscle insulin sensitivity demonstrate that aberrant protein expression and signaling can lead to insulin resistance. The downregulation of proteins such as CSRP3 (which encodes MLP) in insulin‐resistant states further emphasizes the critical role of coordinated gene expression in metabolic homeostasis. While these works focused primarily on protein factors and signaling molecules, RNA modifications guided by snoRNAs—including SNORD84—may represent an additional regulatory layer ensuring proper translation and function during metabolic stress."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "16"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Joerg Heineke, Hartmut Ruetten, Christian Willenbockel, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Attenuation of cardiac remodeling after myocardial infarction by muscle LIM protein-calcineurin signaling at the sarcomeric Z-disc."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Proc Natl Acad Sci U S A (2005)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1073/pnas.0405488102"}], "href": "https://doi.org/10.1073/pnas.0405488102"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "15665106"}], "href": "https://pubmed.ncbi.nlm.nih.gov/15665106"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Ilka Lorenzen-Schmidt, Bruno D Stuyvers, Henk E D J ter Keurs, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Young MLP deficient mice show diastolic dysfunction before the onset of dilated cardiomyopathy."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Mol Cell Cardiol (2005)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.yjmcc.2005.05.006"}], "href": "https://doi.org/10.1016/j.yjmcc.2005.05.006"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "15978612"}], "href": "https://pubmed.ncbi.nlm.nih.gov/15978612"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Peter N Costandi, Lawrence R Frank, Andrew D McCulloch, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Role of diastolic properties in the transition to failure in a mouse model of the cardiac dilatation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Physiol Heart Circ Physiol (2006)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1152/ajpheart.00571.2006"}], "href": "https://doi.org/10.1152/ajpheart.00571.2006"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "16861693"}], "href": "https://pubmed.ncbi.nlm.nih.gov/16861693"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Christian Kuhn, Derk Frank, Franziska Dierck, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Cardiac remodeling is not modulated by overexpression of muscle LIM protein (MLP)."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Basic Res Cardiol (2012)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s00395-012-0262-8"}], "href": "https://doi.org/10.1007/s00395-012-0262-8"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22421737"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22421737"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Mehroz Ehsan, Matthew Kelly, Charlotte Hooper, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Mutant Muscle LIM Protein C58G causes cardiomyopathy through protein depletion."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Mol Cell Cardiol (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.yjmcc.2018.07.248"}], "href": "https://doi.org/10.1016/j.yjmcc.2018.07.248"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30048712"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30048712"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Jiayang Li, Kenneth S Gresham, Ranganath Mamidi, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "Reduced delayed rectifier K+ current, altered electrophysiology, and increased ventricular vulnerability in MLP-deficient mice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Card Fail (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.cardfail.2007.04.015"}], "href": "https://doi.org/10.1016/j.cardfail.2007.04.015"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17923363"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17923363"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Chun-Li Zhang, Yuhua Zou, Ruth T Yu, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "Cysteine- and glycine-rich protein 3 regulates glucose homeostasis in skeletal muscle."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Physiol Endocrinol Metab (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1152/ajpendo.00435.2017"}], "href": "https://doi.org/10.1152/ajpendo.00435.2017"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29634311"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29634311"}]}]}]}
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| Synonyms | U84 |
| NCBI Gene ID | 692199 |
| API | |
| Download Associations | |
| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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SNORD84 has 493 functional associations with biological entities spanning 4 categories (molecular profile, functional term, phrase or reference, cell line, cell type or tissue, gene, protein or microRNA) extracted from 13 datasets.
Click the + buttons to view associations for SNORD84 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of SNORD84 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of SNORD84 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of SNORD84 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with SNORD84 protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of SNORD84 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of SNORD84 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 SNORD84 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of SNORD84 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of SNORD84 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles | cell lines with high or low expression of SNORD84 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset. | |
| KnockTF Gene Expression Profiles with Transcription Factor Perturbations | transcription factor perturbations changing expression of SNORD84 gene from the KnockTF Gene Expression Profiles with Transcription Factor Perturbations dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of SNORD84 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores | tissues co-occuring with SNORD84 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset. | |