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: ["AnatomicalEntity"].

Please return the output as a JSON object of the format: {"AnatomicalEntity": ["tumor cells", ...]}. 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:

Quantitative sequencing of complex mixtures of heterochitooligosaccharides by vMALDI-linear ion trap mass spectrometry.
Heterochitooligosaccharides possess interesting biological properties. Isobaric mixtures of such linear heterochitooligosaccharides can be obtained by chemical or enzymatic degradation of chitosan. However, the separation of such mixtures is a challenging analytical problem which is so far unresolved. It is shown that these isobaric mixtures can be sequenced and quantified simultaneously using standard derivatization and multistage tandem mass spectrometric techniques. A linear ion trap mass spectrometer equipped with a vacuum matrix-assisted laser desorption ionization (vMALDI) source is used to perform MS2 as well as MS3 experiments.
{"AnatomicalEntity": []}