The effects of microenvironment and internal programming on plasma cell survival

Two populations of plasma cells (PCs) are formed after immunization. A short-lived population in the spleen and lymph nodes provides rapid protection. A long-lived population, mainly in the bone marrow, provides lasting immunity. The mechanisms responsible for the differences in PCs life span remain largely unknown. The goal of the current study was to compare the intrinsic survival capacity of isolated short-lived (spleen) versus long-lived (bone marrow) PCs. We approached this question by using a previously established in vitro model that measures PC survival in a supportive stromal environment. Regardless of the tissue source or isolation time point after immunization, the two PC populations showed similar intrinsic ability to survive in vitro. To test differences in the stromal microenvironments, stromal cells from marrow, spleen or lymph nodes were evaluated for ability to support PCs survival. Survival of isolated PC was always greater when co-cultured with marrow stromal cells compared with those from spleen (or lymph node) despite the finding that IL-6, necessary for PC survival in culture, was secreted by all three stromal cell sources. Additionally, low expression of B-cell-activating factor belonging to the tumor necrosis factor-family was detected in all three stromal isolates. In contrast, marrow stromal cells were distinguished by cell-surface phenotype and CXC chemokine ligand (CXCL)12, IL-7 and stem cell factor expression. Although CXCL12 has been suggested as a possible survival factor for PC, addition or neutralization of CXCL12 had minimal effect on PC survival. We conclude the mechanisms regulating PC longevity appear extrinsically driven and marrow favored, but the factors that give marrow stromal cells a unique advantage remain unknown.     

Genome-wide association analyses of expression phenotypes

A number of issues arise when analyzing the large amount of data from high-throughput genotype and expression microarray experiments, including design and interpretation of genome-wide association studies of expression phenotypes. These issues were considered by contributions submitted to Group 1 of the Genetic Analysis Workshop 15 (GAW15), which focused on the association of quantitative expression data. These contributions evaluated diverse hypotheses, including those relevant to cancer and obesity research, and used various analytic techniques, many of which were derived from information theory. Several observations from these reports stand out. First, one needs to consider the genetic model of the trait of interest and carefully select which single nucleotide polymorphisms and individuals are included early in the design stage of a study. Second, by targeting specific pathways when analyzing genome-wide data, one can generate more interpretable results than agnostic approaches. Finally, for datasets with small sample sizes but a large number of features like the Genetic Analysis Workshop 15 dataset, machine learning approaches may be more practical than traditional parametric approaches.     

Transient exit block of a DDD pacemaker with unipolar leads in subcutaneous emphysema following pneumothorax

This case report describes a transient pacemaker exit block due to subcutaneous emphysema following pneumothorax. Pneumothorax after pacemaker implantation is rare, but development of subcutaneous emphysema under such circumstances is even more uncommon. Exit block develops only with the use of unipolar leads; with implantation of bipolar leads, this complication cannot occur.