You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Multiple microRNAs may regulate the DNA repair enzyme uracil-DNA glycosylase. Human nuclear uracil-DNA glycosylase UNG2 is essential for post-replicative repair of uracil in DNA, and UNG2 protein and mRNA levels rapidly decline in G2/M phase. Previous work has demonstrated regulation of UNG2 at the transcriptional level, as well as by protein phosphorylation and ubiquitylation. UNG2 mRNA, encoded by the UNG gene, contains a long 3'untranslated region (3'UTR) of previously unknown function. Here, we demonstrate that several conserved regions in the 3'UTR are potential seed sites for microRNAs (miRNAs), such as miR-16, miR-34c, and miR-199a. Our results show that these miRNAs down-regulate UNG activity, UNG mRNA, and UNG protein levels. Down-regulation was dependent on the 3'UTR, indicating that the miRNAs directly target the conserved seed sites in the 3'UTR. These results add miRNAs as a new modality to UNG's increasing list of complex regulatory mechanisms.
{"Chemical": ["uracil"]}