The conductance observed for single proton channels formed by proteolipids of ATPase (Schindler and Nelson 1982) is rationalized in terms of a hydrogen bonded network model. A simple algebraic expression for the resistance predicted for such a model is presented and the results are compared to the experimental observations. The comparision suggests that the conduction involves a series of bound water molecules and perhaps amino acid side groups. 相似文献
We have measured the transport of de novo synthesized fluorescent analogs of sphingomyelin and glucosylceramide from the trans-Golgi network (TGN) to the apical membrane in basolaterally permeabilized Madin-Darby canine kidney (MDCK) cells. Sphingolipid transport was temperature, ATP and cytosol dependent. Introduction of bovine serum albumin (BSA), which binds fluorescent sphingolipid monomer, into the permeabilized cells, did not affect lipid transport to the apical membrane. Both fluorescent sphingomyelin and glucosylceramide analogs were localized to the lumenal bilayer leaflet of isolated TGN-derived vesicles. These results strongly suggest that both sphingolipids are transported from the TGN to the apical membrane via vesicular traffic. 相似文献
Introduction: Cancer is one of the leading causes of morbidity and mortality worldwide. A hallmark of cancer is evasion of apoptosis leading to tumor progression and drug resistance. Biomarker research has become a sign of the times, and proteins involved in apoptosis may be used for clinical diagnostic or prognostic purposes in cancer treatment. The recent progress in proteomic technology has triggered an emerging number of researchers to study the molecular mechanisms that regulate the apoptotic signal transduction pathways in cancer.
Areas covered: A PubMed search for ‘Proteomics’ and ‘cancer’ and ‘chemotherapy’ and ‘apoptosis’ has been conducted for literature until December 2017.
Results: The study of apoptotic protein signatures in cancer provides valuable information for more effective prognosis, response to therapy and the identification of novel drug targets. A huge number of bioinformatic tools are available to interpret raw data. For quantification, mass spectrometry is the most reliable technique.
Expert commentary: This field of research is, however, still in its infancy and more intensive research is warranted to explore the full potential of biomarkers for clinical use. Progress in this field is influenced by the detection limit of current quantification methods as well as patient and cancer inter-individual profiles. 相似文献
Complex multicellularity represents the most advanced level of biological organization and it has evolved only a few times: in metazoans, green plants, brown and red algae and fungi. Compared to other lineages, the evolution of multicellularity in fungi follows different principles; both simple and complex multicellularity evolved via unique mechanisms not found in other lineages. Herein we review ecological, palaeontological, developmental and genomic aspects of complex multicellularity in fungi and discuss general principles of the evolution of complex multicellularity in light of its fungal manifestations. Fungi represent the only lineage in which complex multicellularity shows signatures of convergent evolution: it appears 8–11 times in distinct fungal lineages, which show a patchy phylogenetic distribution yet share some of the genetic mechanisms underlying complex multicellular development. To explain the patchy distribution of complex multicellularity across the fungal phylogeny we identify four key observations: the large number of apparently independent complex multicellular clades; the lack of documented phenotypic homology between these clades; the conservation of gene circuits regulating the onset of complex multicellular development; and the existence of clades in which the evolution of complex multicellularity is coupled with limited gene family diversification. We discuss how these patterns and known genetic aspects of fungal development can be reconciled with the genetic theory of convergent evolution to explain the pervasive occurrence of complex multicellularity across the fungal tree of life. 相似文献
Soil organic matter (SOM) supports the Earth's ability to sustain terrestrial ecosystems, provide food and fiber, and retains the largest pool of actively cycling carbon. Over 75% of the soil organic carbon (SOC) in the top meter of soil is directly affected by human land use. Large land areas have lost SOC as a result of land use practices, yet there are compensatory opportunities to enhance productivity and SOC storage in degraded lands through improved management practices. Large areas with and without intentional management are also being subjected to rapid changes in climate, making many SOC stocks vulnerable to losses by decomposition or disturbance. In order to quantify potential SOC losses or sequestration at field, regional, and global scales, measurements for detecting changes in SOC are needed. Such measurements and soil‐management best practices should be based on well established and emerging scientific understanding of processes of C stabilization and destabilization over various timescales, soil types, and spatial scales. As newly engaged members of the International Soil Carbon Network, we have identified gaps in data, modeling, and communication that underscore the need for an open, shared network to frame and guide the study of SOM and SOC and their management for sustained production and climate regulation. 相似文献