Effect of medroxyprogesterone acetate on the intestinal absorptive functions in protein-deficient rat

Effect of Medroxyprogesterone acetate (MPA) at a dose level of 35mg/Kg body weight per week for four weeks on the intestinal uptake of nutrients viz glucose, amino acids, (alanine and leucine), calcium and zinc has been investigated in protein-deficient female rats. The administration of MPA was found to enhance significantly the uptake of glucose and amino acids in both the pair-fed and the protein-deficient rats. In contrast, calcium uptake was depressed as a result of treatment with the drug as well as protein-deficiency. The uptake of zinc was not affected on drug administration. This steroidal contraceptive caused elevation in sodium-dependent glucose uptake, while the sodium-independent uptake remained unaltered. The kinetic parameters of glucose and leucine uptake indicate that MPA might be inducing the transport carrier protein of these nutrients as elevation in Vmax of these nutrients transport system was observed following its administration.     

An X-ray determination of the molecular interactions in hemoglobin C: a disease characterized by intraerythrocytic crystals.

The X-ray structure of cyanomet human hemoglobin C has been solved and refined, R ～27%. The molecular packing can be represented in two dimensions by two sets of parallel strands, one set in the $\text{b}$ direction and the other in the $\text{c}$ direction. Taken together the two sets of strands interconnect the molecules into square nets or layers where each molecule contacts its four nearest neighbors. Molecules in one layer are displaced in $\text{a}$ and $\text{b}$ so that they fit into the “holes” of the square arrays of the adjacent layers (normal to $\text{a}$) resulting in a pseudo body-centered cubic packing. This packing can account for the hemoglobin crystallization in and fragility of the erythrocytes. The aberrant β6A3 Lys residue is in a position to influence the crystal formation.     

Identification,cloning and sequence analysis of a dwarf genome-specific RAPD marker in rubber tree [<Emphasis Type="Italic">Hevea brasiliensis</Emphasis> (Muell.) Arg.]

High-yielding dwarf clones of Hevea brasiliensis are tolerant to wind damage and therefore useful for high-density planting. The identification of molecular markers for the dwarf character is very important for isolating true-to-type high-yielding dwarf hybrid lines in the early stage of plant breeding programs. We have identified a dwarf genome-specific random amplified polymorphic DNA (RAPD) marker in rubber tree. A total of 115 random oligonucleotide 10-mer primers were used to amplify genomic DNA by PCR, of which 19 primers produced clear and detectable bands. The primer OPB-12 generated a 1.4-kb DNA marker from both natural and controlled F₁ hybrid progenies (dwarf stature) derived from a cross between a dwarf parent and a normal cultivated clone as well as from the dwarf parent; it was absent in other parent (RRII 118). To validate this DNA marker, we analyzed 22 F₁ hybrids (13 with a dwarf stature and nine with a normal stature); the dwarf genome-specific 1.4-kb RAPD marker was present in all dwarf-stature hybrids and absent in all normal-stature hybrids. This DNA marker was cloned and characterized. DNA marker locus specificity was further confirmed by Southern blot hybridization. Our results indicate that Southern blot hybridization of RAPD using probes made from cloned DNA fragments allows a more accurate analysis of the RAPD pattern based on the presence/absence of specific DNA markers than dye-stained gels or Southern blot analysis of RAPD blots using probes made from purified PCR products. Detection of RAPD markers in the hybrid progenies indicates that RAPD is a powerful tool for identifying inherited genome segments following different hybridization methods in perennial tree crops.     

<Emphasis Type="Italic">Scoredist</Emphasis>: A simple and robust protein sequence distance estimator

Background  

Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number of true substitutions given an observed alignment. So far, the most accurate protein distance estimators have looked for the optimal matrix in a series of transition probability matrices, e.g. the Dayhoff series. The evolutionary distance between two aligned sequences is here estimated as the evolutionary distance of the optimal matrix. The optimal matrix can be found either by an iterative search for the Maximum Likelihood matrix, or by integration to find the Expected Distance. As a consequence, these methods are more complex to implement and computationally heavier than correction-based methods. Another problem is that the result may vary substantially depending on the evolutionary model used for the matrices. An ideal distance estimator should produce consistent and accurate distances independent of the evolutionary model used.