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:

Towards a molecular understanding of T-cell differentiation. Lymphoid differentiation is one of the best studied examples of mammalian development. Here Hans Clevers and Michael Owen describe how the cloning of the genes that encode T-cell-specific membrane proteins allows the identification of transcription factors that control the expression of these T-cell genes. Such transcription factors play a key role in the development of the mature T-cell phenotype by functioning as 'master regulators of T-cell differentiation'.
{"CellLine": [], "CellType": [], "DNA": ["T - cell genes"], "Protein": ["T - cell - specific membrane proteins", "Such transcription factors", "transcription factors"], "RNA": []}