hCG beta ELISA Kit

Identification of functional transcription factor binding sites in genomic sequences is notoriously difficult. The critical problem is the low specificity of predictions, which directly reflects the low target specificity of DNA binding proteins. To overcome the noise produced in predictions of individual binding sites, a new generation of algorithms achieves better predictive specificity by focusing on locally dense clusters of binding sites. MSCAN is a leading method for binding site cluster detection that determines the significance of observed sites while correcting for local compositional bias of sequences. The algorithm is highly flexible, applying any set of input binding models to the analysis of a user-specified sequence. From the user's perspective, a key feature of the system is that no reference data sets of regulatory sequences from co-regulated genes are required to train the algorithm. The output from MSCAN consists of an ordered list of sequence segments that contain potential regulatory modules. We have chosen the features in MSCAN such that sequence and matrix retrieval is highly facilitated, resulting in a web server that is intuitive to use. MSCAN is available at http://mscan.cgb.ki.se/cgi-bin/MSCAN.

Context: The incidence of recurrent miscarriage (RM) (>= 3 consecutive pregnancy losses) is estimated as 1-2% in fertile couples. Familial clustering of RM has suggested the contribution of a genetic component. Objective: A low level of human chorionic gonadotropin (HCG) in maternal serum during the first trimester of the pregnancy is a clinically accepted risk factor for miscarriage. We sought to study whether variation in chorionic gonadotropin beta-subunit genes (CGBs) expressed in placenta may contribute to the risk of RM. Design: Resequencing of CGB5 and CGB8, the two most actively transcribed loci of the four HCG beta-duplicate genes, was performed. Setting: A case-control study involving two sample sets, from Estonia (n = 194) and Finland (n = 185), was performed. Patients: RM patients (n = 184) and fertile controls (n = 195) participated in the study. Results: From 71 identified variants in CGB5 and CGB8, 48 polymorphisms were novel. Significant protective effect was associated with two single nucleotide polymorphisms located at identical positions in intron 2 in both CGB5 [P = 0.007; odds ratio (OR) = 0.53] and CGB8 (P = 0.042; OR = 0.15), and with four CGB5 promoter variants (P < 0.03; OR = 0.54-0.58). The carriers of minor alleles had a reduced risk of RM. The haplotype structure of the CGB8 promoter was consistent with balancing selection; a rare mutation in CGB8 initiator element was detected only among patients (n = 3). In addition, three rare nonsynonymous substitutions were identified among RM cases as possible variants increasing the risk of recurrent pregnancy loss. Conclusion: The findings encourage studying the functional effect of the identified variants on CGB expression and HCG hormone activity to elucidate further the role of CGB variation in RM. (J Clin Endocrinol Metab 93: 4697-4706, 2008)