{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent transcriptomic studies have expanded our understanding of both metabolic disease and lung adenocarcinoma by defining complex gene regulatory networks that include non‐coding RNAs. In a study focused on metabolic disease, a comprehensive profiling of human skeletal muscle revealed a robust “insulin sensitivity transcriptome” comprising both coding and non‐coding RNAs, which orchestrate pathways involved in insulin biochemistry and metabolism."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " Although this work highlighted numerous non‐coding RNAs linked to metabolic processes, it did not specifically implicate ATP13A4‑AS1. In contrast, using a network‐based approach to evaluate differential gene correlations between normal and tumor lung tissues, ATP13A4‑AS1 was identified among a group of novel genes exhibiting inverse correlation patterns in lung adenocarcinoma."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Follow‐up analyses, including real‐time quantitative PCR, confirmed the altered expression of ATP13A4‑AS1 in lung adenocarcinoma tissues and cell lines, suggesting that this non‐coding RNA may serve as a master regulator within the transformed gene network and could represent a promising candidate for diagnostic and therapeutic targeting in lung cancer. \n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "James A Timmons, Philip J Atherton, Ola Larsson, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A coding and non-coding transcriptomic perspective on the genomics of human metabolic disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nucleic Acids Res (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/nar/gky570"}], "href": "https://doi.org/10.1093/nar/gky570"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29986096"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29986096"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "You Zhou, Bin Xu, Yi Zhou, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Cell Dev Biol (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fcell.2021.675438"}], "href": "https://doi.org/10.3389/fcell.2021.675438"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34026765"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34026765"}]}]}]}