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:

The n-SET domain of Set1 regulates H2B ubiquitylation-dependent H3K4 methylation. Past studies have documented a crosstalk between H2B ubiquitylation (H2Bub) and H3K4 methylation, but little (if any) direct evidence exists explaining the mechanism underlying H2Bub-dependent H3K4 methylation on chromatin templates. Here, we took advantage of an in vitro histone methyltransferase assay employing a reconstituted yeast Set1 complex (ySet1C) and a recombinant chromatin template containing fully ubiquitylated H2B to gain valuable insights. Combined with genetic analyses, we demonstrate that the n-SET domain within Set1, but not Swd2, is essential for H2Bub-dependent H3K4 methylation. Spp1, a homolog of human CFP1, is conditionally involved in this crosstalk. Our findings extend to the human Set1 complex, underscoring the conserved nature of this disease-relevant crosstalk pathway. As not all members of the H3K4 methyltransferase family contain n-SET domains, our studies draw attention to the n-SET domain as a predictor of an H2B ubiquitylation-sensing mechanism that leads to downstream H3K4 methylation.
{"Chemical": []}