| Name | long intergenic non-protein coding RNA 328 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n In the study by Wang et al"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ", the investigators performed a detailed analysis of differentially expressed genes and long noncoding RNAs (lncRNAs) in blood samples from Parkinson’s disease patients. The analysis identified several lncRNAs—such as XIST and PART1—to be involved in a competing endogenous RNA network with key genes like IGF1R and PRKACA. However, LINC00328 was not reported among the differentially expressed lncRNAs in this study, and no specific functional role was ascribed to it in the context of Parkinson’s disease. Thus, based on the data provided by this abstract, there is no evidence linking LINC00328 to any regulatory or pathogenic mechanism in PD."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Lu-Mei Chi, Li-Ping Wang, Dan Jiao "}, {"type": "b", "children": [{"type": "t", "text": "Identification of Differentially Expressed Genes and Long Noncoding RNAs Associated with Parkinson's Disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Parkinsons Dis (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2019/6078251"}], "href": "https://doi.org/10.1155/2019/6078251"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30867898"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30867898"}]}]}]}
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| Synonyms | NCRNA00328, NCRNA00328-1, NCRNA00328A |
| NCBI Gene ID | 51152 |
| 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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LINC00328 has 43 functional associations with biological entities spanning 5 categories (organism, disease, phenotype or trait, chemical, functional term, phrase or reference, gene, protein or microRNA) extracted from 8 datasets.
Click the + buttons to view associations for LINC00328 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of LINC00328 gene from the GEO Signatures of Differentially Expressed Genes for Diseases dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of LINC00328 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Kinase Perturbations | kinase perturbations changing expression of LINC00328 gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of LINC00328 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 LINC00328 gene from the GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of LINC00328 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| LOCATE Predicted Protein Localization Annotations | cellular components predicted to contain LINC00328 protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations | gene perturbations changing expression of LINC00328 gene from the MSigDB Signatures of Differentially Expressed Genes for Cancer Gene Perturbations dataset. | |