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: ["RNA", "CellLine", "Protein", "DNA", "CellType"].

Please return the output as a JSON object of the format: {"DNA" : ["TAL1", ...], "RNA": ["mRNAs", ...], "CellLine": ["T cells", ...], "CellType": ["monocytes", ...], "Protein": ["IL-2", ...]}. 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:

[ Changes in levels of leucocytic estrogen receptor in patients with menopausal type II diabetes and its significance ] The number of estrogen receptors (ER) in human peripheral leucocytes in 12 women with menopausal type II diabetes was measured with radio-ligand binding method. The results were compared with those of 12 menopausal women without diabetes and 12 normal women of childbearing age. It was found that the number of ER in the patients was significantly decreased. Our data indicate that decrease of ER level in leukocytes may be related to the pathogenesis of type II diabetes in menopausal period.
{"CellLine": [], "CellType": ["leukocytes", "human peripheral leucocytes"], "DNA": [], "Protein": ["estrogen receptors", "estrogen receptors (ER)", "leucocytic estrogen receptor", "estrogen receptor", "ER"], "RNA": []}