Automated Methods for the Analysis of Skeletal Muscle Fiber Size and Metabolic Type - International Review of Cell and Molecular Biology - page 311

Figure 7.16 Analysis of relationships between skeletal muscle fiber proteins. Proteins
identified as having fiber-specific expression from the Human Protein Atlas skeletal
muscle database were entered into the STRING v9.0 bioinformatics analysis program,
which predicts protein protein interactions based upon an analysis of Web-searchable

biomedical literature, as well as gene and protein databases. (A), (B), and (C) depict the
predicted relationship between muscle proteins in the contexts of the gene ontology
data sets GO:0030017 (sarcomere), GO:008307 (structural constituent of muscle), and
GO:003012 (muscle system process), respectively. (D) The relationship of the identified
proteins is depicted in the context of GO:0048519 (negative regulation of biological pro-
cess) and the KEGG pathway—endometrial cancer (proteins marked with an asterisk).

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bioinformatic analysis also suggests unexpected relationships. For example,
many of the proteins found by our approach belong to the gene ontology
previously defined as “negative regulation of biological process”
(GO:0048519; Fig. 7.16 D). One biological pathway that is downregulated
in mature skeletal muscle is cell division. PTGER4 (prostaglandin E receptor