GnRH-II analogs for selective activation and inhibition of non-mammalian and type-II mammalian GnRH receptors

Recently, we identified three types of non-mammalian gonadotropin-releasing hormone receptors (GnRHR) in the bullfrog (designated bfGnRHR-1-3), and a mammalian type-II GnRHR in green monkey cell lines (denoted gmGnRHR-2). All these receptors responded better to GnRH-II than GnRH-I, while mammalian type-I GnRHR showed greater sensitivity to GnRH-I than GnRH-II. In the present study, we designed new GnRH-II analogs and examined whether they activated or inhibited non-mammalian and mammalian type-II GnRHRs. [D-Ala6]GnRH-II, with D-Ala substituted for Gly6 in GnRH-II, increased inositol phosphate (IP) production in cells stably expressing non-mammalian GnRHRs more effectively than native GnRH-II. However, it exhibited lower activity for mammalian type-I GnRHR than GnRH-I itself. Trptorelix-1, a GnRH-II antagonist, inhibited GnRH-induced IP production in cells expressing non-mammalian GnRHRs more effectively than Cetrorelix, a GnRH-I antagonist. Trptorelix-1, however, had lower potency for mammalian type-I GnRHR than Cetrorelix. Ligand-receptor binding assays revealed that [D-Ala6]GnRH-II and Trptorelix-1 have higher affinities for non-mammalian GnRHRs but lower affinities for mammalian type-I GnRHR than GnRH-II and Cetrorelix, respectively. Moreover, [D-Ala6]GnRH-II and Trptorelix-1 had a higher affinity for gmGnRHR-2 than GnRH-II and Cetrorelix, respectively. These results indicate that [D-Ala6]GnRH-II and Trptorelix-1 are highly effective agonist and antagonist, respectively, for non-mammalian and type-II mammalian GnRHRs.     

Differential desensitization and internalization of three different bullfrog gonadotropin-releasing hormone receptors

We previously demonstrated the presence of three distinct types of the gonadotropin-releasing hormone receptor (GnRHR) in a bullfrog (denoted bfGnRHR-1, bfGnRHR-2, and bfGnRHR-3). The bfGnRHRs exhibited differential tissue distribution and ligand selectivity. In the present study, we demonstrated the desensitization and internalization kinetics of these receptors in both transiently-transfected HEK293 cells and retrovirus-mediated stable cells. The time-course accumulation of the inositol phosphate in response to GnRH revealed that bfGnRHR-1 and -2 were rapidly desensitized, whereas bfGnRHR-3 was slowly desensitized. A comparison of the internalization kinetics revealed the most rapid rate and highest extent of internalization of bfGnRHR-2 among the three receptors. Interestingly, the mechanisms that underlie the receptor internalization appear to differ from each other. Internalization of bfGnRHR-1 was dependent on both dynamin and beta-arrestin, whereas those of bfGnRHR-2 and -3 were dependent on dynamin, but not on arrestin. These results, therefore, suggest that differential regulatory mechanisms for desensitization and internalization of the GnRHR are involved in diverse cellular and physiological responses to GnRH stimulation.     

Acid-sensing ion channel 3 mediates peripheral anti-hyperalgesia effects of acupuncture in mice inflammatory pain

Background  

Peripheral tissue inflammation initiates hyperalgesia accompanied by tissue acidosis, nociceptor activation, and inflammation mediators. Recent studies have suggested a significantly increased expression of acid-sensing ion channel 3 (ASIC3) in both carrageenan- and complete Freund's adjuvant (CFA)-induced inflammation. This study tested the hypothesis that acupuncture is curative for mechanical hyperalgesia induced by peripheral inflammation.     

Protein structure similarity from principle component correlation analysis

Background  

Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity between two proteins is measured by the root-mean-square-deviation (RMSD) in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, however, fails to detect the higher order topological similarities in proteins evolved into different shapes. We propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities.     

Development of tools for assessing conservation categories of siluroid fishes of fresh water and brackish water wetlands of South West Bengal,India

Twenty-five species of fishes belonging to 18 genera, 7 families under the order siluriformes have been recorded from different freshwater and brackish water wetlands of South West Bengal, India. Fishery potential of 17 commercially important siluroid fishes were noted especially from market surveys as well as from information collected from local fishermen communities. Following the IUCN guidelines, and also through Participatory Rural Appraisal (P.R.A.) methods, an attempt has been made to assess the conservation status of such fishes, many of which are thought to be threatened. Trend analysis, Fish Magnitude Value and Rank based Quotient revealed the threatened status of 17 siluroid fishes.     

Conditional random pattern model for copy number aberration detection

Background  

DNA copy number aberration (CNA) is very important in the pathogenesis of tumors and other diseases. For example, CNAs may result in suppression of anti-oncogenes and activation of oncogenes, which would cause certain types of cancers. High density single nucleotide polymorphism (SNP) array data is widely used for the CNA detection. However, it is nontrivial to detect the CNA automatically because the signals obtained from high density SNP arrays often have low signal-to-noise ratio (SNR), which might be caused by whole genome amplification, mixtures of normal and tumor cells, experimental noise or other technical limitations. With the reduction in SNR, many false CNA regions are often detected and the true CNA regions are missed. Thus, more sophisticated statistical models are needed to make the CNAs detection, using the low SNR signals, more robust and reliable.     

In vitro plantlet regeneration of Capsicum chinense Jacq. cv. ‘Bhut jalakia’: hottest chili of northeastern India

Chili (Capsicum chinense) cv. ‘Bhut jalakia’ is used in India for extraction of oleoresin and capsaicin as it is characterized by a very high capsaicin content. The conventional method of propagation of ‘Bhut jalakia’ is through seeds, but this is beset by short viability and low germination rates. Developing a suitable regeneration protocol for ‘Bhut jalakia’ was the focus of this study; as to date, in vitro regeneration for this cultivar has not been investigated. Cotyledon and shoot tip explants were cultured on Murashige and Skoog (MS) media supplemented with different concentrations of cytokinins and auxins. In the case of cotyledon explants, MS medium supplemented with 6-benzylaminopurine (BAP) at 35 μM and kinetin (KIN) at 15 μM were found to be optimal (4.00?±?0.57) for induction of multiple shoots per explant, whereas BAP at 14.8 μM and KIN at 60 μM were best (5.00?±?0.57) for growth of shoot tip explants. Shoots developed from cotyledon explants produced the maximum (8.67?±?0.32) number of roots on MS medium supplemented with low concentration (2.6 μM) of 2-naphthaleneacetic acid (NAA). Supplementation of indole-3-butyric acid (IBA) at 5 μM was found optimal for root formation (16.67?±?2.60) for shoots derived from of shoot tip explants. One month after transfer of in vitro regenerated plantlets to various potting mixes, the highest survival rate (40%) was observed in a mixture of sand, soil, and cow dung in a ratio of 1:1:1. Thus, both shoot tip and cotyledon explants may be cultured on MS medium modified with BAP, IBA, NAA, and KIN to regenerate ‘Bhut jalakia’ chili plants within 90 d.     

Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces

Background

Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug discovery. The difficulty of this prediction task lies in the rarity of known drug-protein interactions and myriad unknown interactions to be predicted. To meet this challenge, a manifold regularization semi-supervised learning method is presented to tackle this issue by using labeled and unlabeled information which often generates better results than using the labeled data alone. Furthermore, our semi-supervised learning method integrates known drug-protein interaction network information as well as chemical structure and genomic sequence data.

Results

Using the proposed method, we predicted certain drug-protein interactions on the enzyme, ion channel, GPCRs, and nuclear receptor data sets. Some of them are confirmed by the latest publicly available drug targets databases such as KEGG.

Conclusions

We report encouraging results of using our method for drug-protein interaction network reconstruction which may shed light on the molecular interaction inference and new uses of marketed drugs.

     

Identification of amino acid residues that direct differential ligand selectivity of mammalian and nonmammalian V1a type receptors for arginine vasopressin and vasotocin. Insights into molecular coevolution of V1a type receptors and their ligands

Arginine vasotocin (VT) is the ortholog in all nonmammalian vertebrates of arginine vasopressin (AVP) in mammals. We have previously cloned an amphibian V1atype vasotocin receptor (VT1R) that exhibited higher sensitivity for VT than AVP, while the mammalian V1a type receptor (V1aR) responded better to AVP than VT. In the present study, we identified the amino acid residues that confer differential ligand selectivity for AVP and VT between rat V1aR and bullfrog VT1R (bfVT1R). A chimeric rat V1aR having transmembrane domain (TMD) VI to the carboxyl-terminal tail (C-tail) of bfVT1R showed a reverse ligand preference for AVP and VT, whereas a chimeric VT1R with TMD VI to the C-tail of rat V1aR showed a great increase in sensitivity for AVP. A single mutation (Ile(315(6.53)) to Thr) in TMD VI of V1aR increased the sensitivity for VT, while a single mutation (Phe(313(6.51)) to Tyr or Pro(334(7.33)) to Thr) reduced sensitivity toward AVP. Interestingly the triple mutation (Phe(313(6.51)) to Tyr, Ile(6.53) to Thr, and Pro(7.33) to Thr) of V1aR increased sensitivity to VT but greatly reduced sensitivity to AVP, behaving like bfVT1R. Further, like V1aR, a double mutant (Tyr(306(6.51)) to Phe and Thr(327(7.33)) to Pro) of bfVT1R showed an increased sensitivity to AVP. These results suggest that Phe/Tyr(6.51), Ile/Thr(6.53), and Pro/Thr(7.33) are responsible for the differential ligand selectivity between rat V1aR and bfVT1R. This information regarding the molecular interaction of VT/AVP with their receptors may have important implications for the development of novel AVP analogs.