Late‐glacial recolonization and phylogeography of European red deer (Cervus elaphus L.)

The Pleistocene was an epoch of extreme climatic and environmental changes. How individual species responded to the repeated cycles of warm and cold stages is a major topic of debate. For the European fauna and flora, an expansion–contraction model has been suggested, whereby temperate species were restricted to southern refugia during glacial times and expanded northwards during interglacials, including the present interglacial (Holocene). Here, we test this model on the red deer (Cervus elaphus) a large and highly mobile herbivore, using both modern and ancient mitochondrial DNA from the entire European range of the species over the last c. 40 000 years. Our results indicate that this species was sensitive to the effects of climate change. Prior to the Last Glacial Maximum (LGM) haplogroups restricted today to South‐East Europe and Western Asia reached as far west as the UK. During the LGM, red deer was mainly restricted to southern refugia, in Iberia, the Balkans and possibly in Italy and South‐Western Asia. At the end of the LGM, red deer expanded from the Iberian refugium, to Central and Northern Europe, including the UK, Belgium, Scandinavia, Germany, Poland and Belarus. Ancient DNA data cannot rule out refugial survival of red deer in North‐West Europe through the LGM. Had such deer survived, though, they were replaced by deer migrating from Iberia at the end of the glacial. The Balkans served as a separate LGM refugium and were probably connected to Western Asia with genetic exchange between the two areas.     

A hierarchy of lipid constructs for the sperm plasma membrane

We have presented a series of lipid constructs as models of the sperm plasma membrane. We also isolated the plasma membrane from rabbit sperm cells and characterized the lipid composition. The behavior of these various membrane systems was evaluated using a vesicle leakage assay, in which surfactant (nonoxynol-9, N-9; or benzalkonium chloride, BZK) exposure induced membrane permeabilization. These studies shed light on the relative importance and significance of particular components present in the lipid constructs. In particular, a highly unsaturated phospholipid component characterized by an ether-linkage to position 1 of the glycerol backbone (as opposed to the more conventional ester linkage) as well as the presence of sulfogalactosyl ceramide were found to have an effect on the surfactant-induced leakage response. The presence of cholesterol had the greatest influence on membrane behavior. The construct series also demonstrated the ability of the surfactants studied to discriminate between different membrane systems. We found that N-9 displayed little sensitivity to membrane composition while BZK showed specific behavior with the various membrane systems.     

Integrated Microfluidics for Protein Modification Discovery

Protein post-translational modifications mediate dynamic cellular processes with broad implications in human disease pathogenesis. There is a large demand for high-throughput technologies supporting post-translational modifications research, and both mass spectrometry and protein arrays have been successfully utilized for this purpose. Protein arrays override the major limitation of target protein abundance inherently associated with MS analysis. This technology, however, is typically restricted to pre-purified proteins spotted in a fixed composition on chips with limited life-time and functionality. In addition, the chips are expensive and designed for a single use, making complex experiments cost-prohibitive. Combining microfluidics with in situ protein expression from a cDNA microarray addressed these limitations. Based on this approach, we introduce a modular integrated microfluidic platform for multiple post-translational modifications analysis of freshly synthesized protein arrays (IMPA). The system''s potency, specificity and flexibility are demonstrated for tyrosine phosphorylation and ubiquitination in quasicellular environments. Unlimited by design and protein composition, and relying on minute amounts of biological material and cost-effective technology, this unique approach is applicable for a broad range of basic, biomedical and biomarker research.Protein post-translational modifications (PTMs)¹ vastly diversify eukaryotic proteomes and are integrated in essentially all cellular processes (1). Proteomic approaches, such as mass spectrometry (MS), have been instrumental in monitoring global molecular dynamics for research and clinical applications (2–5). However, even in this modern era, large-scale analyses of PTMs by MS is challenging because of the limited number of modified peptides derived from proteins that, by themselves, may not be abundant. Moreover, comprehensive PTM analysis by MS often requires significant amounts of biological material that may not be available. PTM analysis using protein arrays can overcome these limitations because of the equimolar amount of the arrayed proteins (6, 7). Large-scale protein arrays have been successfully integrated into PTM research (8, 9). However, this technology relies on pre-purified proteins that are arrayed on a surface and thus, incompatible with biochemically challenging proteins, let alone insoluble proteins. Moreover, the production of recombinant protein arrays is impractical in-house. Therefore, such arrays cannot be used fresh, and they are inherently limited to certain designs, protein compositions, and model organisms of high commercial value. To overcome the abovementioned limitations, we designed a modular integrated microfluidic platform for PTM analysis (IMPA).     

Cutting edge: T cells respond to lipopolysaccharide innately via TLR4 signaling

LPS, a molecule produced by Gram-negative bacteria, is known to activate both innate immune cells such as macrophages and adaptive immune B cells via TLR4 signaling. Although TLR4 is also expressed on T cells, LPS was observed not to affect T cell proliferation or cytokine secretion. We now report, however, that LPS can induce human T cells to adhere to fibronectin via TLR4 signaling. This response to LPS was confirmed in mouse T cells; functional TLR4 and MyD88 were required, but T cells from TLR2 knockout mice could respond to LPS. The human T cell response to LPS depended on protein kinase C signaling and involved the phosphorylation of the proline-rich tyrosine kinase (Pyk-2) and p38. LPS also up-regulated the T cell expression of suppressor of cytokine signaling 3, which led to inhibition of T cell chemotaxis toward the chemokine stromal cell-derived factor 1alpha (CXCL12). Thus, LPS, through TLR4 signaling, can affect T cell behavior in inflammation.     

Hepatitis C virus core protein associates with detergent-resistant membranes distinct from classical plasma membrane rafts

A subpopulation of hepatitis C virus (HCV) core protein in cells harboring full-length HCV replicons is biochemically associated with detergent-resistant membranes (DRMs) in a manner similar to that of markers of classical lipid rafts. Core protein does not, however, colocalize in immunofluorescence studies with classical plasma membrane raft markers, such as caveolin-1 and the B subunit of cholera toxin, suggesting that core protein is bound to cytoplasmic raft microdomains distinct from caveolin-based rafts. Furthermore, while both the structural core protein and the nonstructural protein NS5A associate with membranes, they do not colocalize in the DRMs. Finally, the ability of core protein to localize to the DRMs did not require other elements of the HCV polyprotein. These results may have broad implications for the HCV life cycle and suggest that the HCV core may be a valuable probe for host cell biology.     

Interleukin-5 receptor subunit oligomerization and rearrangement revealed by fluorescence resonance energy transfer imaging

Interleukin (IL)-5 exerts hematopoietic functions through binding to the IL-5 receptor subunits, alpha and betac. Specific assembly steps of full-length subunits as they occur in cell membranes, ultimately leading to receptor activation, are not well understood. We tracked the oligomerization of IL-5 receptor subunits using fluorescence resonance energy transfer (FRET) imaging. Full-length IL-5Ralpha and betac were expressed in Phoenix cells as chimeric proteins fused to enhanced cyan or yellow fluorescent protein (CFP or YFP, respectively). A time- and dose-dependent increase in FRET signal between IL-5Ralpha-CFP and betac-YFP was observed in response to IL-5, indicative of heteromeric receptor alpha-betac subunit interaction. This response was inhibited by AF17121, a peptide antagonist of IL-5Ralpha. Substantial FRET signals with betac-CFP and betac-YFP co-expressed in the absence of IL-5Ralpha demonstrated that betac subunits exist as preformed homo-oligomers. IL-5 had no effect on this betac-alone FRET signal. Interestingly, the addition of IL-5 to cells co-expressing betac-CFP, betac-YFP, and nontagged IL-5Ralpha led to further increase in FRET efficiency. Observation of preformed betac oligomers fits with the view that this form can lead to rapid cellular responses upon IL-5 stimulation. The IL-5-induced effects on betac assembly in the presence of nontagged IL-5Ralpha provide direct evidence that IL-5 can cause higher order rearrangements of betac homo-oligomers. These results suggest that IL-5 and perhaps other betac cytokines (IL-3 and granulocyte/macrophage colony-stimulating factor) trigger cellular responses by the sequential binding of cytokine ligand to the specificity receptor (subunit alpha), followed by binding of the ligand-subunit alpha complex to, and consequent rearrangement of, a ground state form of betac oligomers.     

Complexity and algorithms for copy-number evolution problems

Background

Cancer is an evolutionary process characterized by the accumulation of somatic mutations in a population of cells that form a tumor. One frequent type of mutations is copy number aberrations, which alter the number of copies of genomic regions. The number of copies of each position along a chromosome constitutes the chromosome’s copy-number profile. Understanding how such profiles evolve in cancer can assist in both diagnosis and prognosis.

Results

We model the evolution of a tumor by segmental deletions and amplifications, and gauge distance from profile \(\mathbf {a}\) to \(\mathbf {b}\) by the minimum number of events needed to transform \(\mathbf {a}\) into \(\mathbf {b}\). Given two profiles, our first problem aims to find a parental profile that minimizes the sum of distances to its children. Given k profiles, the second, more general problem, seeks a phylogenetic tree, whose k leaves are labeled by the k given profiles and whose internal vertices are labeled by ancestral profiles such that the sum of edge distances is minimum.

Conclusions

For the former problem we give a pseudo-polynomial dynamic programming algorithm that is linear in the profile length, and an integer linear program formulation. For the latter problem we show it is NP-hard and give an integer linear program formulation that scales to practical problem instance sizes. We assess the efficiency and quality of our algorithms on simulated instances.

Availability

https://github.com/raphael-group/CNT-ILP