The characterization of a mutant affecting DNA metabolism in the development of D. melanogaster

Using a "single-fly" nucleic acid hybridization method, we have surveyed a collection of D. melanogaster strains in search of variants which affect DNA complementary to the polypyrimidine sequence corresponding to one strand of the 1.705 satellite. Hybridization of labelled polypyrimidine probe to polypurine sequence in nucleic acid extracts of single flies, followed by thermal chromatography over hydroxyapatite led to the identification of one variant. The strain Cy/M(2)S2(10) produced excess hybrid, much of which had low thermal stability. A developmental analysis of the low-melt hybrid phenotype showed that certain tissues, in particular the ovaries, were affected. In addition to the biochemical phenotype, the break down of nurse cell nuclei in Cy/M(2)S2(10) ovaries during oocyte maturation was abnormal. A genetic analysis demonstrated that both the biochemical and cytological phenotypes were the consequences of a single recessive mutation in the DNase-1 gene on chromosome III. Studies with purified DNA demonstrated that the low-melt hybrid phenotype resulted from the accumulation of low molecular weight DNA complementary to the polypyrimidine probe.     

Immunoglobulin G galactosylation and sialylation are associated with pregnancy-induced improvement of rheumatoid arthritis and the postpartum flare: results from a large prospective cohort study

Introduction  

Improvement of rheumatoid arthritis (RA) during pregnancy has been causatively associated with increased galactosylation of immunoglobulin G (IgG) N-glycans. Since previous studies were small, did not include the postpartum flare and did not study sialylation, these issues were addressed in the present study.     

Comparing genomic prediction accuracy from purebred,crossbred and combined purebred and crossbred reference populations in sheep

Background

The accuracy of genomic prediction depends largely on the number of animals with phenotypes and genotypes. In some industries, such as sheep and beef cattle, data are often available from a mixture of breeds, multiple strains within a breed or from crossbred animals. The objective of this study was to compare the accuracy of genomic prediction for several economically important traits in sheep when using data from purebreds, crossbreds or a combination of those in a reference population.

Methods

The reference populations were purebred Merinos, crossbreds of Border Leicester (BL), Poll Dorset (PD) or White Suffolk (WS) with Merinos and combinations of purebred and crossbred animals. Genomic breeding values (GBV) were calculated based on genomic best linear unbiased prediction (GBLUP), using a genomic relationship matrix calculated based on 48 599 Ovine SNP (single nucleotide polymorphisms) genotypes. The accuracy of GBV was assessed in a group of purebred industry sires based on the correlation coefficient between GBV and accurate estimated breeding values based on progeny records.

Results

The accuracy of GBV for Merino sires increased with a larger purebred Merino reference population, but decreased when a large purebred Merino reference population was augmented with records from crossbred animals. The GBV accuracy for BL, PD and WS breeds based on crossbred data was the same or tended to decrease when more purebred Merinos were added to the crossbred reference population. The prediction accuracy for a particular breed was close to zero when the reference population did not contain any haplotypes of the target breed, except for some low accuracies that were obtained when predicting PD from WS and vice versa.

Conclusions

This study demonstrates that crossbred animals can be used for genomic prediction of purebred animals using 50 k SNP marker density and GBLUP, but crossbred data provided lower accuracy than purebred data. Including data from distant breeds in a reference population had a neutral to slightly negative effect on the accuracy of genomic prediction. Accounting for differences in marker allele frequencies between breeds had only a small effect on the accuracy of genomic prediction from crossbred or combined crossbred and purebred reference populations.     

Toll-like receptor (TLR)2 and TLR4 agonists regulate CCR expression in human monocytic cells

Interactions between proinflammatory and cell maturation signals, and the pathways that regulate leukocyte migration, are of fundamental importance in controlling trafficking and recruitment of leukocytes during the processes of innate and adaptive immunity. We have investigated the molecular mechanisms by which selective Toll-like receptor (TLR)2 and TLR4 agonists regulate expression of CCR1 and CCR2 on primary human monocytes and THP-1 cells, a human monocytic cell line. We found that activation of either TLR2 (by Pam(3)CysSerLys(4)) or TLR4 (by purified LPS) resulted in down-modulation of both CCR1 and CCR2. Further investigation of TLR-induced down-modulation of CCR1 revealed differences in the signaling pathways activated, and chemokines generated, via the two TLR agonists. TLR2 activation caused slower induction of the NF-kappa B and mitogen-activated protein kinase signaling pathways and yet a much enhanced and prolonged macrophage-inflammatory protein 1 alpha (CC chemokine ligand 3) protein production, when compared with TLR4 stimulation. Enhanced macrophage-inflammatory protein 1 alpha production may contribute to the prolonged down-regulation of CCR1 cell surface expression observed in response to the TLR2 agonist, as preventing chemokine generation with the protein synthesis inhibitor cycloheximide, or CCR1 signaling with the receptor antagonist UCB35625, abolished TLR2- and TLR4-induced CCR1 down-modulation. This result suggests an autocrine pathway, whereby TLR activation can induce chemokine production, which then leads to homologous down-regulation of the cognate receptors. This work provides further insights into the mechanisms that regulate leukocyte recruitment and trafficking during TLR-induced inflammatory responses.     

The combining site of the dinitrophenyl-binding immunoglobulin A myeloma protein MOPC 315

Magnetic-resonance techniques are used to refine the model of the combining site of the Fv fragment of the dinitrophenyl-binding mouse myeloma protein MOPC 315 constructed by Padlan, Davies, Pecht, Givol & Wright (1976) (Cold Spring Harbor Symp. Quant. Biol. 41, in the press). Light-absorption studies indicate a dinitrophenyl–tryptophan interaction in the Fv fragment of the type occurring in free solution. The Dnp-aspartate–tryptophan complex is therefore used as a starting point for the n.m.r. (nuclear-magnetic-resonance) analysis of the dinitrophenyl–Fv fragment interaction. Ring-current calculations are used to determine the geometry of the complex. The specificity of complex-formation between dinitrophenyl and tryptophan is confirmed by the lack of ring-current shifts of the dinitrophenyl resonances when tryptophan is replaced by any other aromatic amino acid. Proton n.m.r. difference spectra (at 270MHz), resulting from the addition of a variety of haptens to the Fv fragment, show that the combining site is highly aromatic in nature. Calculations on the basis of ring-current shifts define the geometry of the combining site, which involves a dinitrophenyl ring in van der Waals contact with four aromatic amino acid residues on the protein. The observation of a nuclear Overhauser effect on the H₍₃₎ resonance of the dinitrophenyl ring provides additional constraints on the relative geometry of the H₍₃₎ proton and an aromatic amino acid residue on the Fv fragment. The specificity of the Fv fragment for dinitrophenyl ligands arises from a stacking interaction of the dinitrophenyl ring with tryptophan-93_L, in an `aromatic box' of essentially tryptophan-93_L, phenylalanine-34_H and tyrosine-34_L; asparagine-36_L and tyrosine-34_L also contribute by forming hydrogen bonds with the nitro groups on the dinitrophenyl ring. The n.m.r. results also confirm that the antibody–hapten reaction may be visualized as a single encounter step. An Appendix shows the method of calculation of ring currents for the four aromatic amino acids and their use in calculating structures.