Table 7.

xProfiler Differential Analysis was Combined with Data from the UniGene/EST Screen Achieving 100% Certainty of Prediction

Unigene ID	Gene description	XPROFILER prediction certainty	Hits in endothelial EST pool	Hits in nonendothelial EST pool
Hs.13957	ESTs–ECSM1	97	4	0
Hs.30089	ESTs–ECSM2	96	8	0
Hs.8135	ESTs–ECSM3	91	4	0
Hs.111518	magic roundabout, distant homology to human roundabout 1	100	4	0
Hs.268107	multimerin	92	5	0
Hs.155106	calcitonin receptor-like receptor activity modifying protein 2	97	0	0
Hs.233955	ESTs	96	0	0
Hs.26530	serum deprivation response (phosphatidylserine-binding protein)	94	3	1
Hs.83213	fatty acid binding protein 4	100	3	1
Hs.110802	von Willebrand factor	100	25	1
Hs.76206	cadherin 5, VE-cadherin (vascular endothelium)	100	4	1
Hs.2271	endothelin 1	98	9	2
Hs.119129	collagen, type IV, alpha 1	100	4	6
Hs.78146	platelet/endothelial cell adhesion molecule (CD31 antigen)	99	18	5
Hs.76224	EGF-containing fibulin-like extracellular matrix protein 1	100	37	9
Hs.75511	connective tissue growth factor	100	34	48

xProfiler's output lists genes with 10× number of tags in the endothelial pool than in the nonendothelial pool of SAGE-CGAP libraries. Hits corresponding to these genes in the endothelial and nonendothelial EST pools were identified by identity-level BLAST searches for mRNA (known genes) or phrap-computed contig sequences (EST clusters representing novel genes). Genes are sorted according to the number of hits in the nonendothelial EST pool. Known and predicted novel endothelial specific genes are in bold.