The comparison of rat liver rough endoplasmic reticulum membrane proteins before and after in vitro removal of its bound ribosomes

The comparison of the proteins of rat liver rough membrane after stripping with EDTA or KCl-puromycin by two dimensional gel electrophoresis is described. By stripping the membrane with EDTA, most of the basic ribosomal proteins are still attached to the membrane; in contrast to the EDTA stripping method, treatment with KCl-puromycin removes most of the ribosomal proteins and does not remove any of the membranal proteins.     

Follicular dendritic cells and apoptosis: Life and death in the germinal centre

Summary The germinal centre forms a specialized microenvironment thought to play a key role in the induction of antibody synthesis, affinity maturation of B cells and memory B cell formation. Clonal-expanded follicular B lymphocytes with mutated antigen receptors (centrocytes) have to be selected on the basis of their capacity to compete for binding to antigen held in limited amounts on the follicular dendritic cells. In this way, only high-affinity B cells are selected. Binding to a follicular dendritic cell is an unconditional prerequisite for centrocytes to survive. Cells that do not succeed in binding to a follicular dendritic cell die rapidly by apoptosis. Apoptosis is a common form of cell death characterized by the activation of an endonuclease culminating in nuclear destruction. The pathway by which apoptosis is triggered varies from cell type to cell type. However, for germinal centre B cells this process is still poorly understood.     

The effectiveness of flower strips and hedgerows on pest control,pollination services and crop yield: a quantitative synthesis

Floral plantings are promoted to foster ecological intensification of agriculture through provisioning of ecosystem services. However, a comprehensive assessment of the effectiveness of different floral plantings, their characteristics and consequences for crop yield is lacking. Here we quantified the impacts of flower strips and hedgerows on pest control (18 studies) and pollination services (17 studies) in adjacent crops in North America, Europe and New Zealand. Flower strips, but not hedgerows, enhanced pest control services in adjacent fields by 16% on average. However, effects on crop pollination and yield were more variable. Our synthesis identifies several important drivers of variability in effectiveness of plantings: pollination services declined exponentially with distance from plantings, and perennial and older flower strips with higher flowering plant diversity enhanced pollination more effectively. These findings provide promising pathways to optimise floral plantings to more effectively contribute to ecosystem service delivery and ecological intensification of agriculture in the future.     

Canadian polar bear population structure using genome‐wide markers

Predicting the consequences of environmental changes, including human‐mediated climate change on species, requires that we quantify range‐wide patterns of genetic diversity and identify the ecological, environmental, and historical factors that have contributed to it. Here, we generate baseline data on polar bear population structure across most Canadian subpopulations (n = 358) using 13,488 genome‐wide single nucleotide polymorphisms (SNPs) identified with double‐digest restriction site‐associated DNA sequencing (ddRAD). Our ddRAD dataset showed three genetic clusters in the sampled Canadian range, congruent with previous studies based on microsatellites across the same regions; however, due to a lack of sampling in Norwegian Bay, we were unable to confirm the existence of a unique cluster in that subpopulation. These data on the genetic structure of polar bears using SNPs provide a detailed baseline against which future shifts in population structure can be assessed, and opportunities to develop new noninvasive tools for monitoring polar bears across their range.     

Benchmarking and optimization of a high-throughput sequencing based method for transgene sequence variant analysis in biotherapeutic cell line development

In recent years, High-Throughput Sequencing (HTS) based methods to detect mutations in biotherapeutic transgene products have become a key quality step deployed during the development of manufacturing cell line clones. Previously we reported on a higher throughput, rapid mutation detection method based on amplicon sequencing (targeting transgene RNA) and detailed its implementation to facilitate cell line clone selection. By gaining experience with our assay in a diverse set of cell line development programs, we improved the computational analysis as well as experimental protocols. Here we report on these improvements as well as on a comprehensive benchmarking of our assay. We evaluated assay performance by mixing amplicon samples of a verified mutated antibody clone with a non-mutated antibody clone to generate spike-in mutations from ∼60% down to ∼0.3% frequencies. We subsequently tested the effect of 16 different sample and HTS library preparation protocols on the assay's ability to quantify mutations and on the occurrence of false-positive background error mutations (artifacts). Our evaluation confirmed assay robustness, established a high confidence limit of detection of ∼0.6%, and identified protocols that reduce error levels thereby significantly reducing a source of false positives that bottlenecked the identification of low-level true mutations.     

Association of FcRn Heavy Chain Encoding Gene (FCGRT) Polymorphisms with IgG Content in Bovine Colostrum

In this study, we evaluated haplotypes of the bovine FCGRT (encoding the FcRn heavy chain) and their relationship to the IgG concentration in bovine colostrum. Four single nucleotide polymorphism (SNP), classified into five haplotypes, were identified in a total of 49 Holstein-Frisians cows. Haplotype 5 was found to be significantly associated with a high IgG level ([OR] = 9.90, 95%CI = 1.11–88.34, p = 0.016) and haplotype 2 exhibited a similar trend ([OR] = 2.89, 95%CI = 1.17–7.11, p = 0.019).