| Name | serine/threonine-protein kinase SIK1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n LOC102724428, also known as SNF1LK (or SNF1LK2 in some reports), encodes an atypical protein kinase that appears to function at the crossroads of cell‐cycle regulation, differentiation, and stress‐responsive signaling. Initial studies identified SNF1LK as being expressed in muscle and heart where it can block cell division by arresting cells at the G2/M checkpoint and influence early stages of muscle growth and differentiation."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In addition, expression analyses in tumor specimens, including neurofibromatosis‐associated schwannomas and retrovirally tagged lymphomas, suggest that dysregulation of SNF1LK is associated with tumor onset and progression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n \n "}, {"type": "p", "children": [{"type": "t", "text": "\n In the context of metabolic and transcriptional responses, SNF1LK expression in skeletal muscle is correlated with insulin sensitivity and the gene’s change in expression following exercise implies a role in modulating the transcriptional response to metabolic stress."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " Furthermore, vascular studies have shown that SNF1LK is up‐regulated in aldosterone‐stimulated endothelial cells and is conversely down–regulated in pulmonary arterial hypertension, pointing to a potential role in vascular physiology and pathobiology."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n \n "}, {"type": "p", "children": [{"type": "t", "text": "\n Dysregulated SNF1LK expression has also been observed in melanoma, where repeated identification across independent studies supports its potential involvement in melanomagenesis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "7"}]}, {"type": "t", "text": " In Down syndrome candidate gene studies, SNF1LK has been proposed to participate alongside DYRK1A and RIPK4 in a novel mitogen‐activated protein kinase cascade that may contribute to developmental and congenital heart anomalies."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "8"}]}, {"type": "t", "text": " Finally, in the setting of acute lymphoblastic leukemia, SNF1LK was identified as one of only a few candidate genes with potential roles in glucocorticoid‐induced apoptosis and cell cycle regulation."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "9"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n \n "}, {"type": "p", "children": [{"type": "t", "text": "\n Collectively, these studies suggest that LOC102724428/SNF1LK serves as a multifunctional kinase. It modulates cell‐cycle progression, participates in differentiation processes (especially in muscle), and influences diverse signaling pathways that are relevant to metabolic regulation, vascular biology, and oncogenesis. Its differential expression across various tissues and disease states also underscore its potential utility as a biomarker and a therapeutic target.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Angela Stephenson, Guo-Ying Huang, Ngoc-Thinh Nguyen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "snf1lk encodes a protein kinase that may function in cell cycle regulation."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genomics (2004)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.ygeno.2003.12.007"}], "href": "https://doi.org/10.1016/j.ygeno.2003.12.007"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "15177563"}], "href": "https://pubmed.ncbi.nlm.nih.gov/15177563"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Amos Toren, Juergen K Reichardt, Ali Andalibi, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Novel age-dependent targets in vestibular schwannomas."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Genomics (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/1479-7364-8-10"}], "href": "https://doi.org/10.1186/1479-7364-8-10"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24980480"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24980480"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Min Sun Shin, Torgny N Fredrickson, Janet W Hartley, et al. 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"}, {"type": "b", "children": [{"type": "t", "text": "Gene and MicroRNA Expression Responses to Exercise; Relationship with Insulin Sensitivity."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "PLoS One (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1371/journal.pone.0127089"}], "href": "https://doi.org/10.1371/journal.pone.0127089"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25984722"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25984722"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Naoko Sekizawa, Takanobu Yoshimoto, Eri Hayakawa, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome analysis of aldosterone-regulated genes in human vascular endothelial cell lines stably expressing mineralocorticoid receptor."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Cell Endocrinol (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.mce.2011.05.029"}], "href": "https://doi.org/10.1016/j.mce.2011.05.029"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21664252"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21664252"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Zhenglu Shang, Jiashun Sun, Jingjiao Hui, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Construction of a Support Vector Machine-Based Classifier for Pulmonary Arterial Hypertension Patients."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Genet (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fgene.2021.781011"}], "href": "https://doi.org/10.3389/fgene.2021.781011"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34880909"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34880909"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Balazs Györffy, Hermann Lage "}, {"type": "b", "children": [{"type": "t", "text": "A Web-based data warehouse on gene expression in human malignant melanoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Invest Dermatol (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/sj.jid.5700543"}], "href": "https://doi.org/10.1038/sj.jid.5700543"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "16946712"}], "href": "https://pubmed.ncbi.nlm.nih.gov/16946712"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Marialuisa Pellegrini-Calace, Anna Tramontano "}, {"type": "b", "children": [{"type": "t", "text": "Identification of a novel putative mitogen-activated kinase cascade on human chromosome 21 by computational approaches."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Bioinformatics (2006)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/bioinformatics/btl006"}], "href": "https://doi.org/10.1093/bioinformatics/btl006"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "16428264"}], "href": "https://pubmed.ncbi.nlm.nih.gov/16428264"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Stefan Schmidt, Johannes Rainer, Stefan Riml, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of glucocorticoid-response genes in children with acute lymphoblastic leukemia."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Blood (2006)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1182/blood-2005-07-2853"}], "href": "https://doi.org/10.1182/blood-2005-07-2853"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "16293608"}], "href": "https://pubmed.ncbi.nlm.nih.gov/16293608"}]}]}]}
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| Synonyms | SIK1B, SIK1 |
| NCBI Gene ID | 102724428 |
| 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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LOC102724428 has 1,279 functional associations with biological entities spanning 6 categories (chemical, disease, phenotype or trait, functional term, phrase or reference, structural feature, cell line, cell type or tissue, gene, protein or microRNA) extracted from 24 datasets.
Click the + buttons to view associations for LOC102724428 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of LOC102724428 gene relative to other tissue samples from the Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles dataset. | |
| Carcinogenome Chemical Perturbation Carcinogenicity Signatures | small molecule perturbations changing expression of LOC102724428 gene from the Carcinogenome Chemical Perturbation Carcinogenicity Signatures dataset. | |
| ClinVar Gene-Phenotype Associations 2025 | phenotypes associated with LOC102724428 gene from the curated ClinVar Gene-Phenotype Associations 2025 dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing LOC102724428 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 | cellular components co-occuring with LOC102724428 protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset. | |
| DisGeNET Gene-Disease Associations | diseases associated with LOC102724428 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with LOC102724428 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving LOC102724428 gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2025 | cellular components containing LOC102724428 protein from the curated GO Cellular Component Annotations 2025 dataset. | |
| GO Molecular Function Annotations 2025 | molecular functions performed by LOC102724428 gene from the curated GO Molecular Function Annotations 2025 dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of LOC102724428 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with LOC102724428 gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for LOC102724428 protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of LOC102724428 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Human Transcription Factor Targets dataset. | |
| JASPAR Predicted Mouse Transcription Factor Targets 2025 | transcription factors regulating expression of LOC102724428 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Mouse Transcription Factor Targets 2025 dataset. | |
| KEGG Pathways 2026 | pathways involving LOC102724428 protein from the KEGG Pathways 2026 dataset. | |
| Kinase Library Serine Threonine Kinome Atlas | kinases that phosphorylate LOC102724428 protein from the Kinase Library Serine Threonine Atlas dataset. | |
| NIBR DRUG-seq U2OS MoA Box Gene Expression Profiles | drug perturbations changing expression of LOC102724428 gene from the NIBR DRUG-seq U2OS MoA Box dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of LOC102724428 gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of LOC102724428 gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of LOC102724428 gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of LOC102724428 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of LOC102724428 protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 | tissues co-occuring with LOC102724428 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |