The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression.

Molecular classification of cancers into subtypes has resulted in an advance in our understanding of tumour biology and treatment response across multiple tumour types. However, to date, cancer profiling has largely focused on protein-coding genes, which comprise <1% of the genome. Here we leverage a compendium of 58,648 long noncoding RNAs (lncRNAs) to subtype 947 breast cancer samples. We show that lncRNA-based profiling categorizes breast tumours by their known molecular subtypes in breast cancer. We identify a cohort of breast cancer-associated and oestrogen-regulated lncRNAs, and investigate the role of the top prioritized oestrogen receptor (ER)-regulated lncRNA, DSCAM-AS1. We demonstrate that DSCAM-AS1 mediates tumour progression and tamoxifen resistance and identify hnRNPL as an interacting protein involved in the mechanism of DSCAM-AS1 action. By highlighting the role of DSCAM-AS1 in breast cancer biology and treatment resistance, this study provides insight into the potential clinical implications of lncRNAs in breast cancer

The \u3cem\u3eChlamydomonas\u3c/em\u3e Genome Reveals the Evolution of Key Animal and Plant Functions

Chlamydomonas reinhardtii is a unicellular green alga whose lineage diverged from land plants over 1 billion years ago. It is a model system for studying chloroplast-based photosynthesis, as well as the structure, assembly, and function of eukaryotic flagella (cilia), which were inherited from the common ancestor of plants and animals, but lost in land plants. We sequenced the ∼120-megabase nuclear genome of Chlamydomonas and performed comparative phylogenomic analyses, identifying genes encoding uncharacterized proteins that are likely associated with the function and biogenesis of chloroplasts or eukaryotic flagella. Analyses of the Chlamydomonas genome advance our understanding of the ancestral eukaryotic cell, reveal previously unknown genes associated with photosynthetic and flagellar functions, and establish links between ciliopathy and the composition and function of flagella

Extracellular vesicles are independent metabolic units with asparaginase activity.

Extracellular vesicles (EVs) are membrane particles involved in the exchange of a broad range of bioactive molecules between cells and the microenvironment. Although it has been shown that cells can traffic metabolic enzymes via EVs, much remains to be elucidated with regard to their intrinsic metabolic activity. Accordingly, herein we assessed the ability of neural stem/progenitor cell (NSC)-derived EVs to consume and produce metabolites. Our metabolomics and functional analyses both revealed that EVs harbor L-asparaginase activity, catalyzed by the enzyme asparaginase-like protein 1 (Asrgl1). Critically, we show that Asrgl1 activity is selective for asparagine and is devoid of glutaminase activity. We found that mouse and human NSC EVs traffic Asrgl1. Our results demonstrate, for the first time, that NSC EVs function as independent metabolic units that are able to modify the concentrations of critical nutrients, with the potential to affect the physiology of their microenvironment.This work has received support from the Italian Multiple Sclerosis Association (AISM, grant 2010/R/31 and grant 2014/PMS/4 to SP), the Italian Ministry of Health (GR08-7 to SP), the European Research Council (ERC) under the ERC-2010-StG Grant agreement n° 260511-SEM_SEM, the Medical Research Council, the Engineering and Physical Sciences Research Council, and the Biotechnology and Biological Sciences Research Council UK Regenerative Medicine Platform Hub “Acellular Approaches for Therapeutic Delivery” (MR/K026682/1 to SP), The Evelyn Trust (RG 69865 to SP), The Bascule Charitable Trust (RG 75149 to SP) and core support grant from the Wellcome Trust and Medical Research Council to the Wellcome Trust – MRC Cambridge Stem Cell Institute. N.I. was supported by a FEBS long-term fellowship. C.F., A.S.H., and E.G. were funded by the Medical Research Council, Core Fund SKAG006

Peptide-Based Inhibitors of Hepatitis C Virus NS3 Serine Protease: Kinetic Aspects and Inhibitor Design

Hepatitis C is a serious disease that affects about 200 million people worldwide. No anti-HCV vaccine or specific anti-viral drugs are available today. Non-structural protein 3 (NS3) of HCV is a bifunctional serine protease/helicase, and the protease has become a prime target in the search for anti-HCV drugs. In this work, the complete HCV NS3 gene has been cloned and expressed, and the protein has been purified using affinity chromatography. An assay for measuring the protease activity of full-length NS3 protease has been developed and used for inhibition studies. A series of peptide-based inhibitors of NS3 protease varying in length, the composition of the side-chain and the N- and C-terminal groups have been studied. Potent tetra-, penta- and hexapeptide inhibitors of the NS3 protease were discovered. Hexapeptides with an acyl sulfonamide C-terminal residue were the most potent inhibitors of the NS3 protease, having nanomolar Ki-values. The selectivity of the inhibitors was assessed using other serine and cysteine proteases. NS3 protease inhibitors with electrophilic C-terminal groups were non-selective while those comprising a C-terminal carboxylate or acyl sulfonamide group were selective. All inhibitors with a small hydrophobic P1 side-chain residue were non-selective for the NS3 protease, being good inhibitors of human leukocyte elastase. This result highlights the importance of the P1 residue for inhibitor selectivity, which stems from the major role of this residue in determining substrate specificity of serine proteases. Electrophilic inhibitors often cause slow-binding inhibition of serine and cysteine proteases. This was observed with other proteases used in our work but not with NS3 protease, which indicates that mechanism of inhibition of NS3 protease by electrophilic inhibitors may not involve formation of a covalent bond. The structure-activity relationships obtained in this work can be used for improvement of peptide-based inhibitors of HCV NS3 protease towards higher inhibitory potency and selectivity

Peptide-Based Inhibitors of Hepatitis C Virus NS3 Serine Protease: Kinetic Aspects and Inhibitor Design

Hepatitis C is a serious disease that affects about 200 million people worldwide. No anti-HCV vaccine or specific anti-viral drugs are available today. Non-structural protein 3 (NS3) of HCV is a bifunctional serine protease/helicase, and the protease has become a prime target in the search for anti-HCV drugs. In this work, the complete HCV NS3 gene has been cloned and expressed, and the protein has been purified using affinity chromatography. An assay for measuring the protease activity of full-length NS3 protease has been developed and used for inhibition studies. A series of peptide-based inhibitors of NS3 protease varying in length, the composition of the side-chain and the N- and C-terminal groups have been studied. Potent tetra-, penta- and hexapeptide inhibitors of the NS3 protease were discovered. Hexapeptides with an acyl sulfonamide C-terminal residue were the most potent inhibitors of the NS3 protease, having nanomolar Ki-values. The selectivity of the inhibitors was assessed using other serine and cysteine proteases. NS3 protease inhibitors with electrophilic C-terminal groups were non-selective while those comprising a C-terminal carboxylate or acyl sulfonamide group were selective. All inhibitors with a small hydrophobic P1 side-chain residue were non-selective for the NS3 protease, being good inhibitors of human leukocyte elastase. This result highlights the importance of the P1 residue for inhibitor selectivity, which stems from the major role of this residue in determining substrate specificity of serine proteases. Electrophilic inhibitors often cause slow-binding inhibition of serine and cysteine proteases. This was observed with other proteases used in our work but not with NS3 protease, which indicates that mechanism of inhibition of NS3 protease by electrophilic inhibitors may not involve formation of a covalent bond. The structure-activity relationships obtained in this work can be used for improvement of peptide-based inhibitors of HCV NS3 protease towards higher inhibitory potency and selectivity

The problem of dust attenuation in photometric decomposition of edge-on galaxies and possible solutions

The presence of dust in spiral galaxies affects the ability of photometric decompositions to retrieve the parameters of their main structural components. For galaxies in an edge-on orientation, the optical depth integrated over the line-of-sight is significantly higher than for those with intermediate or face-on inclinations, so it is only natural to expect that for edge-on galaxies, dust attenuation should severely influence measured structural parameters. In this paper, we use radiative transfer simulations to generate a set of synthetic images of edge-on galaxies which are then analysed via decomposition. Our results demonstrate that for edge-on galaxies, the observed systematic errors of the fit parameters are significantly higher than for moderately inclined galaxies. Even for models with a relatively low dust content, all structural parameters suffer offsets that are far from negligible. In our search for ways to reduce the impact of dust on retrieved structural parameters, we test several approaches, including various masking methods and an analytical model that incorporates dust absorption. We show that using such techniques greatly improves the reliability of decompositions for edge-on galaxies