Genomic expression during human myelopoiesis

BMC Genomics

Table 3 Clusters of differentially expressed genes

		Clusters
Differential expression VS CD34+ cells	Total number of differentially expressed genes	Number of clusters	Total number of differentially expressed genes in clusters	Total number of data matrix genes in clusters	Total number of EntrezGenes in clusters	p-value
Erythroblasts up-regulated genes	269	7	26	151	360	7.94E-05
Erythroblasts down-regulated genes	223	4	14	54	127	0.0088
Megakaryoblasts up-regulated genes	214	7	25	138	379	0.0035
Megakaryoblasts down-regulated genes	136	1	3	7	18	0.0033
Monoblasts up-regulated genes	277	7	24	166	439	0.0101
Monoblasts down-regulated genes	126	0	0	0	0	nd
Myeloblasts up-regulated genes	32	0	0	0	0	nd
Myeloblasts down-regulated genes	15	0	0	0	0	nd

REEF software was used to analyse the genomic distribution of differentially expressed genes and to find significant positional enrichments (q-value < 0.05). Columns 2 and 3 indicate the total number of differentially expressed genes in the human genome and the number of clusters identified by REEF. In the following three columns, the numbers of differentially expressed genes, genes represented in the myelopoiesis data matrix and EntrezGenes falling in identified clusters are reported. The numbers of genes represented in the myelopoiesis data matrix showing up- or down-regulation, respectively for clusters of significantly up- or down-regulated genes, results to be higher than expected by chance, accordingly with hypergeometric distribution (p < = 0.01). Calculated p-values are reported in the last column. Further details concerning each cluster are reported in Additional file 7.

ISSN: 1471-2164