A systems biology approach to the identification and analysis of transcriptional regulatory networks in osteocytes

Table 1 Functional annotation clusters

Annotation cluster	Enrichment score	SP_PIR_KEYWORD or GOTERM	# of genes	P-value	Benjamini corrected p-value
1	12.69	GOTERM_CC: Extracellular region	83	1.6E-18	1.3E-15
		SP_PIR_KEYWORD: signal	88	4.3E-18	3.7E-15
2	11.72	GOTERM_BP: ossification	21	5.0E-19	2.6E-15
		GOTERM_BP: biomineral formation	21	6.3E-19	1.6E-15
3	10.37	GOTERM_BP: system development	65	5.8E-15	5.0E-12
		GOTERM_BP: anatomical structure development	71 71	7.4E-15	5.4E-12
4	6.34	GOTERM_CC: proteinaceous extracellular matrix	22	9.3E-10	1.5E-07
		GOTERM_CC: extracellular matrix	22	1.5E-09	2.0E-07
5	5.18	SP_PIR_KEYWORD: muscle protein	12	1.1E-11	3.1E-09
		GOTERM_BP: muscle system process	9	2.8E-05	5.0E-03

269 over-expressed in osteocyte cells were input into the DAVID Bioinformatics tool for functional annotation clustering. Sample clusters and their top two Protein Information Resource (SP_PIR) and GO terms are provided here, with Cluster 2 relating to bone and Cluster 5 relating to muscle.

ISSN: 1471-2105