High-resolution two-dimensional gel electrophoresis and mass spectrometry has been used to identify the outer membrane (OM) subproteome of the Gram-negative bacterium Methylococcus capsulatus (Bath). Twenty-eight unique polypeptide sequences were identified from protein samples enriched in OMs. Only six of these polypeptides had previously been identified. The predictions from novel bioinformatic methods predicting beta-barrel outer membrane proteins (OMPs) and OM lipoproteins were compared to proteins identified experimentally. BOMP ( http://www.bioinfo.no/tools/bomp ) predicted 43 beta-barrel OMPs (1.45%) from the 2,959 annotated open reading frames. This was a lower percentage than predicted from other Gram-negative proteomes (1.8-3%). More than half of the predicted BOMPs in M. capsulatus were annotated as (conserved) hypothetical proteins with significant similarity to very few sequences in Swiss-Prot or TrEMBL. The experimental data and the computer predictions indicated that the protein composition of the M. capsulatus OM subproteome was different from that of other Gram-negative bacteria studied in a similar manner. A new program, Lipo, was developed that can analyse entire predicted proteomes and give a list of recognised lipoproteins categorised according to their lipo-box similarity to known Gram-negative lipoproteins ( http://www.bioinfo.no/tools/lipo ). This report is the first using a proteomics and bioinformatics approach to identify the OM subproteome of an obligate methanotroph.

Purpose: The concentration of estradiol (E 2 ) in breast tumors is significantly higher than that in plasma, particularly in postmenopausal women. The contribution of local E 2 synthesis versus uptake of E 2 from the circulation is controversial. Our aim was to identify possible determinants of intratumoral E 2 levels in breast cancer patients.Experimental Design: The expression of genes involved in estrogen synthesis, metabolism, and signaling was measured in 34 matched samples of breast tumor and normal breast tissue, and their correlation with estrogen concentrations assessed.Results: ESR1 (9.1-fold; P < 0.001) and HSD17B7 (3.5-fold; P < 0.001) were upregulated in ER + tumors compared with normal tissues, whereas STS (0.34-fold; P < 0.001) and HSD17B5 (0.23-fold; P < 0.001) were downregulated. Intratumoral E 2 levels showed a strong positive correlation with ESR1 expression in all patients (Spearman r = 0.55, P < 0.001) and among the subgroups of postmenopausal (r = 0.76, P < 0.001; n = 23) and postmenopausal ER + patients (r = 0.59, P = 0.013; n = 17). HSD17B7 expression showed a significant positive correlation (r = 0.59, P < 0.001) whereas HSD17B2 (r = −0.46, P = 0.0057) and HSD17B12 (r = −0.45, P = 0.0076) showed significant negative correlations with intratumoral E 2 in all patients. Intratumoral E 2 revealed no correlation to CYP19, STS, and HSD17B1 expression. Multivariate models comprising ESR1 and plasma E 2 predicted between 50% and 70% of intratumoral E 2 variability.