The enzyme protochlorophyllide oxidoreductase (POR) catalyses a lightdependent step in chlorophyll biosynthesis that is essential to photosynthesis and ultimately all life on Earth. 1-3 POR, which is one of three known light-dependent enzymes, 4,5 catalyzes reduction of the photosensitizer and substrate protochlorophyllide to form the pigment chlorophyllide. Despite its biological importance, a structural basis for POR photocatalysis has remained elusive. Here, we report crystal structures of cyanobacterial PORs from Thermosynechococcus elongatus and Synechocystis sp. in their free forms, and in complex with nicotinamide coenzyme. Our structural models and simulations of the ternary protochlorophyllide-NADPH-POR complex have identified multiple interactions in the POR active site that are important for protochlorophyllide binding, photosensitization and photochemical conversion to chlorophyllide. We demonstrate the importance of active-site architecture and protochlorophyllide structure in experiments using POR variants and protochlorophyllide analogues. These studies reveal how the POR active site facilitates light-driven reduction of protochlorophyllide by localized hydride transfer from NADPH and long-range proton transfer along structurally defined proton-transfer pathways. As the light-driven step in the chlorophyll biosynthetic pathway (Fig. 1), the POR reaction acts as the trigger for the germination of seedlings =in plants and provokes a marked change in the morphological development of the plant. 2,3 Given this crucial biological role, POR has been the focus of numerous mechanistic and biophysical investigations. A combination of time-resolved (at the femtosecond-to-second scale) and cryogenic spectroscopy methods have provided some understanding of the mechanism of POR photocatalysis in a range of photosynthetic organisms, including cyanobacteria and plants. Picosecond excited-state dynamics in the protochlorophyllide (Pchlide) molecule are thought to result in excited state interactions between the substrate and active-site residues that are necessary to trigger the subsequent reaction chemistry. 6-12 This involves sequential transfer of a hydride equivalent from NADPH and a proton transfer from either an active site residue or solvent. Proton transfer is reliant on solvent dynamics and an implied network of extended protein motions that occur on the microsecond timescale. 13-17 Hydride transfer from NADPH is not concerted, but occurs in a stepwise manner that involves

BackgroundSingle nucleotide polymorphisms (SNPs) have emerged as the genetic marker of choice for mapping disease loci and candidate gene association studies, because of their high density and relatively even distribution in the human genomes. There is a need for systems allowing medium multiplexing (ten to hundreds of SNPs) with high throughput, which can efficiently and cost-effectively generate genotypes for a very large sample set (thousands of individuals). Methods that are flexible, fast, accurate and cost-effective are urgently needed. This is also important for those who work on high throughput genotyping in non-model systems where off-the-shelf assays are not available and a flexible platform is needed.ResultsWe demonstrate the use of a nanofluidic Integrated Fluidic Circuit (IFC) - based genotyping system for medium-throughput multiplexing known as the Dynamic Array, by genotyping 994 individual human DNA samples on 47 different SNP assays, using nanoliter volumes of reagents. Call rates of greater than 99.5% and call accuracies of greater than 99.8% were achieved from our study, which demonstrates that this is a formidable genotyping platform. The experimental set up is very simple, with a time-to-result for each sample of about 3 hours.ConclusionOur results demonstrate that the Dynamic Array is an excellent genotyping system for medium-throughput multiplexing (30-300 SNPs), which is simple to use and combines rapid throughput with excellent call rates, high concordance and low cost. The exceptional call rates and call accuracy obtained may be of particular interest to those working on validation and replication of genome- wide- association (GWA) studies.

CD8 T cells play a key role in mediating protective immunity against selected pathogens after vaccination. Understanding the mechanism of this protection is dependent upon definition of the heterogeneity and complexity of cellular immune responses generated by different vaccines. Here, we identify previously unrecognized subsets of CD8 T cells based upon analysis of gene-expression patterns within single cells and show that they are differentially induced by different vaccines. Three prime-boost vector combinations encoding HIV Env stimulated antigen-specific CD8 T-cell populations of similar magnitude, phenotype, and functionality. Remarkably, however, analysis of single-cell gene-expression profiles enabled discrimination of a majority of central memory (CM) and effector memory (EM) CD8 T cells elicited by the three vaccines. Subsets of T cells could be defined based on their expression of Eomes, Cxcr3, and Ccr7, or Klrk1, Klrg1, and Ccr5 in CM and EM cells, respectively. Of CM cells elicited by DNA prime-recombinant adenoviral (rAd) boost vectors, 67% were Eomes − Ccr7 + Cxcr3 − , in contrast to only 7% and 2% stimulated by rAd5-rAd5 or rAd-LCMV, respectively. Of EM cells elicited by DNArAd, 74% were Klrk1 − Klrg1 − Ccr5 − compared with only 26% and 20% for rAd5-rAd5 or rAd5-LCMV. Definition by single-cell gene profiling of specific CM and EM CD8 T-cell subsets that are differentially induced by different gene-based vaccines will facilitate the design and evaluation of vaccines, as well as enable our understanding of mechanisms of protective immunity.lymphocyte subsets | microarray | immune differentiation

The development of multidrug resistance (MDR) to chemotherapy remains a major challenge in the treatment of cancer. Resistance exists against every effective anticancer drug and can develop by multiple mechanisms.