| Name | SLC9A9 antisense RNA 1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nAlthough none of the provided abstracts explicitly mention SLC9A9‐AS1, a careful integration of the extensive literature on vascular endothelial growth factor (VEGF) signaling suggests that SLC9A9‐AS1 may function as a regulatory noncoding RNA modulating VEGF‐dependent pathways. Multiple studies highlight that under hypoxic conditions VEGF transcription is activated via HIF‐1 and other cofactors (for example, see studies showing hypoxia‐inducible activation of VEGF in ischemic models and tumor cells ["}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "10"}]}, {"type": "t", "text": "]). These findings not only underscore the central role of VEGF as a mediator of angiogenesis, endothelial cell survival, and vascular permeability in contexts ranging from ischemia and tumor growth to developmental processes, but also raise the possibility that long noncoding RNAs such as SLC9A9‐AS1 could add an extra layer of regulation to these pathways.\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nAdditional work has delineated diverse roles for VEGF in vascular homeostasis, inflammatory responses, bone formation and remodeling, as well as in the regulation of neural and retinal functions. For instance, studies indicate that VEGF secreted by various cell types is key to maintaining endothelial integrity and modulating leukocyte recruitment during inflammation, with mechanistic insights implicating transcriptional coactivators and alternative signaling routes independent of the canonical hypoxia response (see ["}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "11", "end_ref": "20"}]}, {"type": "t", "text": "]). Such studies illuminate how precise control of VEGF expression and activity can determine angiogenic outcomes, while also hinting that molecules acting in cis or trans – for example, antisense transcripts – might fine‐tune these responses at the transcriptional or post‐transcriptional level.\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nGiven this broad regulatory landscape, one can speculate that SLC9A9‐AS1, as an antisense long noncoding RNA associated with the SLC9A9 locus, may participate in modulating VEGF‐driven signaling cascades. Emerging data in related systems point to noncoding RNAs influencing transcription factor binding, mRNA stability, and translation of key angiogenic mediators. Therefore, while the surveyed abstracts (see ["}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "21", "end_ref": "30"}]}, {"type": "t", "text": "]) concentrate on the multifaceted roles of VEGF, their integration supports a model in which SLC9A9‐AS1 could contribute to setting the threshold and dynamics of VEGF mRNA/protein levels. This in turn would influence critical processes such as endothelial barrier function, angiogenic switching, and tissue remodeling in disease and repair (["}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "31", "end_ref": "41"}]}, {"type": "t", "text": "]). Overall, while direct experimental evidence for SLC9A9‐AS1’s function remains to be established, its potential role as a fine‐tuner of VEGF expression and action emerges as an attractive hypothesis. Such a function would have broad implications in angiogenesis, vascular integrity, and the cellular stress response in both physiological and pathological settings.\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "J A Forsythe, B H Jiang, N V Iyer, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Activation of vascular endothelial growth factor gene transcription by hypoxia-inducible factor 1."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Cell Biol (1996)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1128/MCB.16.9.4604"}], "href": "https://doi.org/10.1128/MCB.16.9.4604"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "8756616"}], "href": "https://pubmed.ncbi.nlm.nih.gov/8756616"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Zoltan Arany, Shi-Yin Foo, Yanhong Ma, et al. 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| NCBI Gene ID | 100885796 |
| API | |
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| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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SLC9A9-AS1 has 169 functional associations with biological entities spanning 2 categories (cell line, cell type or tissue, gene, protein or microRNA) extracted from 5 datasets.
Click the + buttons to view associations for SLC9A9-AS1 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 SLC9A9-AS1 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of SLC9A9-AS1 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 SLC9A9-AS1 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of SLC9A9-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of SLC9A9-AS1 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |