ALBERT

Description: Author: Leslie K. Ferrarelli

Description: Author: Guy Riddihough

Description: Staphylococcus aureus is a Gram-positive bacterium that is a leading cause of life-threatening infections in humans. Knowledge of how this pathogen colonizes the human host and causes disease is crucial for the development of strategies to prevent and treat S. aureus infections (see the image, next page). On page 1105 of this issue, Ghssein et al. report the discovery, isolation, and functional evaluation of staphylopine (see the figure), a compound biosynthesized by S. aureus that captures metal ions from the pathogen's surroundings and thereby enables it to grow (1). Author: Elizabeth M. Nolan

Description: Author: Nicolas S. Wigginton

Description: The vast majority of genes in sexually reproducing eukaryotes can recombine during the production of gametes. This reshuffling generates new genotypes that may provide selective advantages. However, reshuffling does not occur among the few genes in the genomes of cytoplasmic organelles (chloroplasts and mitochondria). Instead, these organelles are almost always transmitted through maternal inheritance (1). Why is this phenomenon widespread and how is it achieved? On page 394 of this issue, Zhou et al. (2) solve part of this puzzle by identifying the enzyme that degrades sperm mitochondrial DNA after fertilization. Author: Alexander M. van der Bliek

Description: Mutualistic symbiotic relationships are those in which both species benefit; for example, the vivid colors of coral reefs come from symbiotic algae that provide their living coral hosts with nutrients and oxygen through photosynthesis in exchange for protection. A similar mutualistic relationship exists between gut-dwelling bacteria and their animal hosts (1). It remains unclear, however, to what degree symbiosis has shaped host-microbial interactions and coevolution. On page 380 of this issue, Moeller et al. show that gut bacterial strains cospeciated with hominids (apes and humans) over the past 15 million years (2). These findings set the stage for exploring the evolutionary processes that underlie the symbiotic relationship between hominids and their gut-dwelling microbes. Authors: Julia A. Segre, Nick Salafsky

Description: Author: Caroline Ash

Description: Author: Laura M. Zahn

Description: Several unprecedented videos of gelatinous sea creatures called comb jellies, or ctenophores, now threaten to upend the standard view of the evolution of the so-called through-gut. Comb jellies, jellyfish, sea sponges, and a few other creatures all were thought to lack an anus, which meant they had to eat and defecate through a single hole. These are descendants of some of the first animals to arise, so it has been thought that the through-gut and anus were an innovation that came after those lineages emerged—and perhaps something that drove the diversity of new animal forms. But on 15 March, at the Ctenopolooza meeting in St. Augustine, Florida, evolutionary biologist William Browne of the University of Miami in Florida debuted films of comb jellies pooping—and it wasn't through their mouths. Browne's videos elicited gasps from the audience, who is now rethinking when the through-gut first evolved—and whether it may have emerged more than once. Author: Amy Maxmen

Description: "This missing science of heredity … is, in simple truth, ten times more important to humanity than all the chemistry and physics, all the technical and industrial science that ever has been or ever will be discovered," wrote H. G. Wells in 1903. Having dedicated more than 500 pages to the topic in his new book, The Gene, Siddhartha Mukherjee would seem to agree. The book examines human genetics, from its philosophical roots in the work of Aristotle, through Gregor Mendel's garden and Thomas Hunt Morgan's work on fruitflies, and including active work in genome editing. Author: Michael A. Goldman

Description: For years, scientists have debated where dogs came from. Did wolves first forge their special relationship with humans in Europe, or in Asia? The answer, according to a new study, is yes. Researchers report that genetic analysis of hundreds of canines—including a nearly 5000-year-old dog unearthed on the east coast of Ireland—reveals that dogs may have been domesticated twice, once in Asia and once in Europe or the Near East, although European ancestry has mostly vanished from today's dogs. The findings could resolve a rift that has roiled the canine origins community—but experts say a lot more work needs to be done to confirm them. Author: David Grimm

Description: Author: Guy Riddihough

Description: One of the greatest symbols of the birth of evolutionary biology is Darwin's first sketch of an evolutionary tree, above which he wrote: “I think.” Not only are evolutionary trees central to how scientists conceptualize evolutionary processes, Darwin's words also capture a key aspect of evolutionary science: It is difficult to observe, forcing researchers to rely heavily on inference. In recent decades, studies of fast-growing microorganisms have allowed hypotheses about evolutionary processes to be tested experimentally (1). On page 1147 of this issue, Baym et al. (2) report a device for visualizing evolutionary branching as bacteria grow across a meter-scale agar slab. The results offer important insights into evolutionary dynamics in spatially extended systems. Authors: Luke McNally, Sam P. Brown

Description: Primordial sequence signatures in modern proteins imply ancestral origins tracing back to simple peptides. Although short peptides seldom adopt unique folds, metal ions might have templated their assembly into higher-order structures in early evolution and imparted useful chemical reactivity. Recapitulating such a biogenetic scenario, we have combined design and laboratory evolution to transform a zinc-binding peptide into a globular enzyme capable of accelerating ester cleavage with exacting enantiospecificity and high catalytic efficiency ( k cat / K M ~ 10 6 M –1 s –1 ). The simultaneous optimization of structure and function in a naïve peptide scaffold not only illustrates a plausible enzyme evolutionary pathway from the distant past to the present but also proffers exciting future opportunities for enzyme design and engineering.

Description: Mammals diversified by colonizing drastically different environments, with each transition yielding numerous molecular changes, including losses of protein function. Though not initially deleterious, these losses could subsequently carry deleterious pleiotropic consequences. We have used phylogenetic methods to identify convergent functional losses across independent marine mammal lineages. In one extreme case, Paraoxonase 1 ( PON1 ) accrued lesions in all marine lineages, while remaining intact in all terrestrial mammals. These lesions coincide with PON1 enzymatic activity loss in marine species’ blood plasma. This convergent loss is likely explained by parallel shifts in marine ancestors’ lipid metabolism and/or bloodstream oxidative environment affecting PON1’s role in fatty acid oxidation. PON1 loss also eliminates marine mammals’ main defense against neurotoxicity from specific man-made organophosphorus compounds, implying potential risks in modern environments.

Description: The turbulent surfaces of rivers and streams are natural hotspots of biogeochemical exchange with the atmosphere. At the global scale, the total river-atmosphere flux of trace gasses such as carbon dioxide depends on the proportion of Earth’s surface that is covered by the fluvial network, yet the total surface area of rivers and streams is poorly constrained. We used a global database of planform river hydromorphology and a statistical approach to show that global river and stream surface area at mean annual discharge is 773,000 ± 79,000 square kilometers (0.58 ± 0.06%) of Earth’s nonglaciated land surface, an area 44 ± 15% larger than previous spatial estimates. We found that rivers and streams likely play a greater role in controlling land-atmosphere fluxes than is currently represented in global carbon budgets.

Description: Cryo–electron microscopy, or simply cryo-EM, refers mainly to three very different yet closely related techniques: electron crystallography, single-particle cryo-EM, and electron cryotomography. In the past few years, single-particle cryo-EM in particular has triggered a revolution in structural biology and has become a newly dominant discipline. This Review examines the fascinating story of its start and evolution over the past 40-plus years, delves into how and why the recent technological advances have been so groundbreaking, and briefly considers where the technique may be headed in the future.

Description: Riback et al . (Reports, 13 October 2017, p. 238) used small-angle x-ray scattering (SAXS) experiments to infer a degree of compaction for unfolded proteins in water versus chemical denaturant that is highly consistent with the results from Förster resonance energy transfer (FRET) experiments. There is thus no "contradiction" between the two methods, nor evidence to support their claim that commonly used FRET fluorophores cause protein compaction.

Description: Best et al . claim that we provide no convincing basis to assert that a discrepancy remains between FRET and SAXS results on the dimensions of disordered proteins under physiological conditions. We maintain that a clear discrepancy is apparent in our and other recent publications, including results shown in the Best et al . comment. A plausible origin is fluorophore interactions in FRET experiments.

Description: Developmental enhancers mediate on/off patterns of gene expression in specific cell types at particular stages during metazoan embryogenesis. They typically integrate multiple signals and regulatory determinants to achieve precise spatiotemporal expression. Such enhancers can map quite far—one megabase or more—from the genes they regulate. How remote enhancers relay regulatory information to their target promoters is one of the central mysteries of genome organization and function. A variety of contrasting mechanisms have been proposed over the years, including enhancer tracking, linking, looping, and mobilization to transcription factories. We argue that extreme versions of these mechanisms cannot account for the transcriptional dynamics and precision seen in living cells, tissues, and embryos. We describe emerging evidence for dynamic three-dimensional hubs that combine different elements of the classical models.

Description: The classical model of cytosine DNA methylation (the presence of 5-methylcytosine, 5mC) regulation depicts this covalent modification as a stable repressive regulator of promoter activity. However, whole-genome analysis of 5mC reveals widespread tissue- and cell type–specific patterns and pervasive dynamics during mammalian development. Here we review recent findings that delineate 5mC functions in developmental stages and diverse genomic compartments as well as discuss the molecular mechanisms that connect transcriptional regulation and 5mC. Beyond the newly appreciated dynamics, regulatory roles for 5mC have been suggested in new biological contexts, such as learning and memory or aging. The use of new single-cell measurement techniques and precise editing tools will enable functional analyses of 5mC in gene expression, clarifying its role in various biological processes.

Description: Although we can increasingly measure transcription, chromatin, methylation, and other aspects of molecular biology at single-cell resolution, most assays survey only one aspect of cellular biology. Here we describe sci-CAR, a combinatorial indexing–based coassay that jointly profiles chromatin accessibility and mRNA (CAR) in each of thousands of single cells. As a proof of concept, we apply sci-CAR to 4825 cells, including a time series of dexamethasone treatment, as well as to 11,296 cells from the adult mouse kidney. With the resulting data, we compare the pseudotemporal dynamics of chromatin accessibility and gene expression, reconstruct the chromatin accessibility profiles of cell types defined by RNA profiles, and link cis-regulatory sites to their target genes on the basis of the covariance of chromatin accessibility and transcription across large numbers of single cells.

Description: The field of molecular evolution is concerned with evolutionary changes in genes and genomes and the underlying driving forces behind those changes. Current studies in molecular evolution are almost entirely retrospective, with a focus on the mutations that were fixed during evolution, and the conclusions are often explanatory, offering no predictive insights. Because only a tiny fraction of all mutations that have ever occurred during evolution have been fixed, the “successes” that we see today provide an incomplete or even biased understanding of the evolutionary process. One way to circumvent this problem is to obtain the whole fitness landscape of a gene to understand, prospectively, chance and necessity in evolution (see the figure). Two studies in this issue, by Li et al. on page 837 (1) and Puchta et al. on page 840 (2), each take on this challenge by characterizing the in vivo fitness landscape of two RNA genes. Authors: Xionglei He, Li Liu

Description: Author: Nicholas S. Wigginton

Description: The S-adenosylmethionine (SAM) radical enzyme superfamily plays a central role in the biosynthesis of many vitamins, cofactors, and antibiotics. Radical SAM enzymes catalyze challenging chemical reactions such as C-H bond activation (1), ring contraction (2), and molecular skeletal rearrangements (3, 4). They overcome the dif culty of these reactions by forming a highly oxidizing radical species, 5′-deoxyadenosyl (5′-dAdo·), from SAM and a reduced iron-sulfur cluster (5). This radical species can selectively abstract a hydrogen atom from a substrate, enabling complex chemical transformations. There are more than 113,000 radical SAM enzymes, but only a small number are both biochemically and structurally characterized, and many of the reaction mechanisms remain enigmatic. On page 1320 of this issue, Sicoli et al. provide evidence for unexpected radical intermediates in the mechanism of the radical SAM enzyme NosL (6). Authors: Jennifer Bridwell-Rabb, Catherine L. Drennan

Description: Author: Sacha Vignieri

Description: Changes in gene regulatory networks (GRNs) underlie many phenotypic differences between species. However, the mechanisms of GRN evolution are still being debated (1–5). Explaining how GRNs originate, diversify, and maintain their identities despite regulatory element turnover is essential for developing mechanistic explanations for the origin, diversification, and conservation of homologous characters between species. Among the major outstanding questions in GRN evolution is whether individual cis-regulatory elements arise de novo through the gradual accumulation of mutations that increase the regulatory potential of existing DNA or whether cis-regulatory elements originate more rapidly through concerted processes. On page 1083 of this issue, Chuong et al. provide evidence that concerted processes, involving endogenous retroviruses (ERVs), which are remarkably abundant in mammalian genomes, have contributed to the evolution of the regulatory systems that control the mammalian immune system (6). Author: Vincent J. Lynch

Description: About 500 to 600 million metric tons of methane, a potent greenhouse gas, are emitted annually worldwide; ~69% of this methane is produced biologically by anaerobic archaea known as methanogens (1). In some environments, methane emissions are partly offset by anaerobic methane oxidizing archaea (ANME) and aerobic methanotrophic bacteria (1). In methanogens, the methyl-coenzyme M reductase (MCR) enzyme uses a nickel-containing cofactor (F430) to catalyze the final step of methane synthesis (see the figure, panels A and B) (2, 3). The MCR reaction is reversible, and MCR may also catalyze the first step of methane oxidation by ANME (2). The MCR catalytic cycle begins with F430 in the reduced Ni(I) form (4), but what happens next has been unclear. On page 953 of this issue, Wongnate et al. (5) report evidence for a Ni(II)-thiolate intermediate. Authors: Thomas J. Lawton, Amy C. Rosenzweig

Description: For many evolutionary biologists, nothing gets their dander up faster than suggesting evolution is anything other than the process of natural selection, acting on random mutations. So some are uneasy that the John Templeton Foundation has awarded $8.7 million to U.K., Swedish, and U.S. researchers for experimental and theoretical work intended to put a revisionist view of evolution, the so-called extended evolutionary synthesis, on a sounder footing. Using a variety of plants, animals, and microbes, the researchers will study the possibility that organisms can influence their own evolution and that inheritance can take place through routes other than the genetic material. Critics are against evolutionary biologists accepting this money and argue that evolutionary theory already embraces the best of these ideas. But others are pleased as the money should help clarify the importance of different aspects of the extended synthesis. Author: Elizabeth Pennisi

Description: Most biological oxygen consumption is carried out by membrane-integrated oxidases, which fall into three main classes. The heme-copper oxidases (HCOs) of mitochondria and many bacteria (1) have a binuclear active site that contains a heme and a copper atom. They achieve rapid, virtually complete reduction of oxygen to water. The alternative oxidases (AOXs) found in certain plants, fungi, and bacteria have a heme-free iron-iron reactive site (2) that confers nitric oxide–resistant respiration (3). The last class, the bacterial cytochrome bd–type oxidases (4), are found in many pathogenic bacteria and have a distinctive heme composition consisting of two hemes b and one heme d. On page 583 of this issue, Safarian et al. report the atomic-resolution structure of a cytochrome bd–type oxidase from Geobacillus thermodenitrificans (5). The structure will facilitate targeted and rational drug development against cytochrome bd–type oxidases. Authors: Gregory M. Cook, Robert K. Poole

Description: The color patterns of African cichlid fishes provide notable examples of phenotypic convergence. Across the more than 1200 East African rift lake species, melanic horizontal stripes have evolved numerous times. We discovered that regulatory changes of the gene agouti-related peptide 2 ( agrp2 ) act as molecular switches controlling this evolutionarily labile phenotype. Reduced agrp2 expression is convergently associated with the presence of stripe patterns across species flocks. However, cis-regulatory mutations are not predictive of stripes across radiations, suggesting independent regulatory mechanisms. Genetic mapping confirms the link between the agrp2 locus and stripe patterns. The crucial role of agrp2 is further supported by a CRISPR-Cas9 knockout that reconstitutes stripes in a nonstriped cichlid. Thus, we unveil how a single gene affects the convergent evolution of a complex color pattern.

Description: The Hedgehog (Hh) pathway involved in development and regeneration is activated by the extracellular binding of Hh to the membrane receptor Patched (Ptch). We report the structures of human Ptch1 alone and in complex with the N-terminal domain of human Sonic hedgehog (ShhN) at resolutions of 3.9 and 3.6 angstroms, respectively, as determined by cryo–electron microscopy. Ptch1 comprises two interacting extracellular domains, ECD1 and ECD2, and 12 transmembrane segments (TMs), with TMs 2 to 6 constituting the sterol-sensing domain (SSD). Two steroid-shaped densities are resolved in both structures, one enclosed by ECD1/2 and the other in the membrane-facing cavity of the SSD. Structure-guided mutational analysis shows that interaction between ShhN and Ptch1 is steroid-dependent. The structure of a steroid binding–deficient Ptch1 mutant displays pronounced conformational rearrangements.

Description: Super-resolution microscopy has overcome a long-held resolution barrier—the diffraction limit—in light microscopy and enabled visualization of previously invisible molecular details in biological systems. Since their conception, super-resolution imaging methods have continually evolved and can now be used to image cellular structures in three dimensions, multiple colors, and living systems with nanometer-scale resolution. These methods have been applied to answer questions involving the organization, interaction, stoichiometry, and dynamics of individual molecular building blocks and their integration into functional machineries in cells and tissues. In this Review, we provide an overview of super-resolution methods, their state-of-the-art capabilities, and their constantly expanding applications to biology, with a focus on the latter. We will also describe the current technical challenges and future advances anticipated in super-resolution imaging.

Description: Genomic DNA forms chromatin, in which the nucleosome is the repeating unit. The mechanism by which RNA polymerase II (RNAPII) transcribes the nucleosomal DNA remains unclear. Here we report the cryo–electron microscopy structures of RNAPII-nucleosome complexes in which RNAPII pauses at the superhelical locations SHL(–6), SHL(–5), SHL(–2), and SHL(–1) of the nucleosome. RNAPII pauses at the major histone-DNA contact sites, and the nucleosome interactions with the RNAPII subunits stabilize the pause. These structures reveal snapshots of nucleosomal transcription, in which RNAPII gradually tears DNA from the histone surface while preserving the histone octamer. The nucleosomes in the SHL(–1) complexes are bound to a "foreign" DNA segment, which might explain the histone transfer mechanism. These results provide the foundations for understanding chromatin transcription and epigenetic regulation.

Description: Consumer genomics databases have reached the scale of millions of individuals. Recently, law enforcement authorities have exploited some of these databases to identify suspects via distant familial relatives. Using genomic data of 1.28 million individuals tested with consumer genomics, we investigated the power of this technique. We project that about 60% of the searches for individuals of European descent will result in a third-cousin or closer match, which theoretically allows their identification using demographic identifiers. Moreover, the technique could implicate nearly any U.S. individual of European descent in the near future. We demonstrate that the technique can also identify research participants of a public sequencing project. On the basis of these results, we propose a potential mitigation strategy and policy implications for human subject research.

Description: We describe a general computational approach to designing self-assembling helical filaments from monomeric proteins and use this approach to design proteins that assemble into micrometer-scale filaments with a wide range of geometries in vivo and in vitro. Cryo–electron microscopy structures of six designs are close to the computational design models. The filament building blocks are idealized repeat proteins, and thus the diameter of the filaments can be systematically tuned by varying the number of repeat units. The assembly and disassembly of the filaments can be controlled by engineered anchor and capping units built from monomers lacking one of the interaction surfaces. The ability to generate dynamic, highly ordered structures that span micrometers from protein monomers opens up possibilities for the fabrication of new multiscale metamaterials.

Description: Membrane proteins reside in lipid bilayers and are typically extracted from this environment for study, which often compromises their integrity. In this work, we ejected intact assemblies from membranes, without chemical disruption, and used mass spectrometry to define their composition. From Escherichia coli outer membranes, we identified a chaperone-porin association and lipid interactions in the β-barrel assembly machinery. We observed efflux pumps bridging inner and outer membranes, and from inner membranes we identified a pentameric pore of TonB, as well as the protein-conducting channel SecYEG in association with F 1 F O adenosine triphosphate (ATP) synthase. Intact mitochondrial membranes from Bos taurus yielded respiratory complexes and fatty acid–bound dimers of the ADP (adenosine diphosphate)/ATP translocase (ANT-1). These results highlight the importance of native membrane environments for retaining small-molecule binding, subunit interactions, and associated chaperones of the membrane proteome.

Description: Current genetic data are equivocal as to whether goat domestication occurred multiple times or was a singular process. We generated genomic data from 83 ancient goats (51 with genome-wide coverage) from Paleolithic to Medieval contexts throughout the Near East. Our findings demonstrate that multiple divergent ancient wild goat sources were domesticated in a dispersed process that resulted in genetically and geographically distinct Neolithic goat populations, echoing contemporaneous human divergence across the region. These early goat populations contributed differently to modern goats in Asia, Africa, and Europe. We also detect early selection for pigmentation, stature, reproduction, milking, and response to dietary change, providing 8000-year-old evidence for human agency in molding genome variation within a partner species.

Description: The precatalytic spliceosome (B complex) is preceded by the pre-B complex. Here we report the cryo–electron microscopy structures of the Saccharomyces cerevisiae pre-B and B complexes at average resolutions of 3.3 to 4.6 and 3.9 angstroms, respectively. In the pre-B complex, the duplex between the 5' splice site (5'SS) and U1 small nuclear RNA (snRNA) is recognized by Yhc1, Luc7, and the Sm ring. In the B complex, U1 small nuclear ribonucleoprotein is dissociated, the 5'-exon–5'SS sequences are translocated near U6 snRNA, and three B-specific proteins may orient the precursor messenger RNA. In both complexes, U6 snRNA is anchored to loop I of U5 snRNA, and the duplex between the branch point sequence and U2 snRNA is recognized by the SF3b complex. Structural analysis reveals the mechanism of assembly and activation for the yeast spliceosome.

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bernstein, Rachel -- New York, N.Y. -- Science. 2015 Jun 26;348(6242):1506. doi: 10.1126/science.348.6242.1506.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Rachel Bernstein is a staff writer for Science Careers. For more on life and careers, visit ScienceCareers.org. Send your story to SciCareerEditor@aaas.org.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26113726" target="_blank"〉PubMed〈/a〉

Description: Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated before biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from more than 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cusanovich, Darren A -- Daza, Riza -- Adey, Andrew -- Pliner, Hannah A -- Christiansen, Lena -- Gunderson, Kevin L -- Steemers, Frank J -- Trapnell, Cole -- Shendure, Jay -- 1DP1HG007811/DP/NCCDPHP CDC HHS/ -- New York, N.Y. -- Science. 2015 May 22;348(6237):910-4. doi: 10.1126/science.aab1601. Epub 2015 May 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Washington, Department of Genome Sciences, Seattle, WA, USA. ; Oregon Health and Science University, Department of Molecular and Medical Genetics, Portland, OR, USA. ; Illumina, Inc., Advanced Research Group, San Diego, CA, USA. ; University of Washington, Department of Genome Sciences, Seattle, WA, USA. shendure@uw.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25953818" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kloor, Keith -- New York, N.Y. -- Science. 2015 Feb 13;347(6223):699. doi: 10.1126/science.347.6223.699.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25678635" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reczek, Colleen R -- Chandel, Navdeep S -- New York, N.Y. -- Science. 2015 Dec 11;350(6266):1317-8. doi: 10.1126/science.aad8671.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medicine and Robert H. Lurie Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. ; Department of Medicine and Robert H. Lurie Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. nav@northwestern.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26659042" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kloosterman, Wigard P -- New York, N.Y. -- Science. 2015 Jun 12;348(6240):1205-6. doi: 10.1126/science.aac5277.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, 3584CG Utrecht, Netherlands. w.kloosterman@umcutrecht.nl.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26068832" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bernstein, Rachel -- New York, N.Y. -- Science. 2015 Apr 17;348(6232):269. doi: 10.1126/science.348.6232.269.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25883332" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reich, Justin -- New York, N.Y. -- Science. 2015 Jan 2;347(6217):34-5. doi: 10.1126/science.1261627.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉HarvardX, Harvard University, Cambridge, MA 02476, USA. justin_reich@harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25554779" target="_blank"〉PubMed〈/a〉

Description: Microbes are dominant drivers of biogeochemical processes, yet drawing a global picture of functional diversity, microbial community structure, and their ecological determinants remains a grand challenge. We analyzed 7.2 terabases of metagenomic data from 243 Tara Oceans samples from 68 locations in epipelagic and mesopelagic waters across the globe to generate an ocean microbial reference gene catalog with 〉40 million nonredundant, mostly novel sequences from viruses, prokaryotes, and picoeukaryotes. Using 139 prokaryote-enriched samples, containing 〉35,000 species, we show vertical stratification with epipelagic community composition mostly driven by temperature rather than other environmental factors or geography. We identify ocean microbial core functionality and reveal that 〉73% of its abundance is shared with the human gut microbiome despite the physicochemical differences between these two ecosystems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sunagawa, Shinichi -- Coelho, Luis Pedro -- Chaffron, Samuel -- Kultima, Jens Roat -- Labadie, Karine -- Salazar, Guillem -- Djahanschiri, Bardya -- Zeller, Georg -- Mende, Daniel R -- Alberti, Adriana -- Cornejo-Castillo, Francisco M -- Costea, Paul I -- Cruaud, Corinne -- d'Ovidio, Francesco -- Engelen, Stefan -- Ferrera, Isabel -- Gasol, Josep M -- Guidi, Lionel -- Hildebrand, Falk -- Kokoszka, Florian -- Lepoivre, Cyrille -- Lima-Mendez, Gipsi -- Poulain, Julie -- Poulos, Bonnie T -- Royo-Llonch, Marta -- Sarmento, Hugo -- Vieira-Silva, Sara -- Dimier, Celine -- Picheral, Marc -- Searson, Sarah -- Kandels-Lewis, Stefanie -- Tara Oceans coordinators -- Bowler, Chris -- de Vargas, Colomban -- Gorsky, Gabriel -- Grimsley, Nigel -- Hingamp, Pascal -- Iudicone, Daniele -- Jaillon, Olivier -- Not, Fabrice -- Ogata, Hiroyuki -- Pesant, Stephane -- Speich, Sabrina -- Stemmann, Lars -- Sullivan, Matthew B -- Weissenbach, Jean -- Wincker, Patrick -- Karsenti, Eric -- Raes, Jeroen -- Acinas, Silvia G -- Bork, Peer -- New York, N.Y. -- Science. 2015 May 22;348(6237):1261359. doi: 10.1126/science.1261359.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. Center for the Biology of Disease, VIB, Herestraat 49, 3000 Leuven, Belgium. Department of Applied Biological Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. ; CEA-Institut de Genomique, GENOSCOPE, 2 rue Gaston Cremieux, 91057 Evry, France. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta, 37-49, Barcelona E08003, Spain. ; Sorbonne Universites, UPMC, Universite Paris 06, CNRS-IRD-MNHN, LOCEAN Laboratory, 4 Place Jussieu, 75005 Paris France. ; CNRS, UMR 7093, Laboratoire d'Oceanographie de Villefranche-sur-Mer, Observatoire Oceanologique, F-06230 Villefranche-sur-mer, France. Sorbonne Universites, UPMC Universite Paris 06, UMR 7093, LOV, Observatoire Oceanologique, F-06230 Villefranche-sur-mer, France. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. Laboratoire de Physique des Oceans UBO-IUEM, Place Copernic 29820 Plouzane, France. ; Aix Marseille Universite CNRS IGS UMR 7256, 13288 Marseille, France. ; Department of Ecology and Evolutionary Biology, University of Arizona, 1007 East Lowell Street, Tucson, AZ 85721, USA. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta, 37-49, Barcelona E08003, Spain. Department of Hydrobiology, Federal University of Sao Carlos (UFSCar), Rodovia Washington Luiz, 13565-905 Sao Carlos, Sao Paulo, Brazil. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. CNRS, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. Sorbonne Universites, UPMC Universite Paris 06, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. Directors' Research, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. ; CNRS, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. Sorbonne Universites, UPMC Universite Paris 06, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. ; CNRS UMR 7232, BIOM, Avenue du Fontaule, 66650 Banyuls-sur-Mer, France. Sorbonne Universites Paris 06, OOB UPMC, Avenue du Fontaule, 66650 Banyuls-sur-Mer, France. ; Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy. ; CEA-Institut de Genomique, GENOSCOPE, 2 rue Gaston Cremieux, 91057 Evry, France. CNRS, UMR 8030, CP5706, Evry, France. Universite d'Evry, UMR 8030, CP5706, Evry, France. ; Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611-001, Japan. ; PANGAEA, Data Publisher for Earth and Environmental Science, University of Bremen, Bremen, Germany. MARUM, Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany. ; Department of Geosciences, Laboratoire de Meteorologie Dynamique (LMD), Ecole Normale Superieure, 24 rue Lhomond, 75231 Paris Cedex 05, France. Laboratoire de Physique des Oceans UBO-IUEM, Place Copernic, 29820 Plouzane, France. ; Ecole Normale Superieure, Institut de Biologie de l'ENS (IBENS), and Inserm U1024, and CNRS UMR 8197, F-75005 Paris, France. Directors' Research, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. Center for the Biology of Disease, VIB, Herestraat 49, 3000 Leuven, Belgium. Department of Applied Biological Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta, 37-49, Barcelona E08003, Spain. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. Max-Delbruck-Centre for Molecular Medicine, 13092 Berlin, Germany. sunagawa@embl.de karsenti@embl.de jeroen.raes@vib-kuleuven.be sacinas@icm.csic.es bork@embl.de.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25999513" target="_blank"〉PubMed〈/a〉

Description: Jan et al. (Research Articles, 7 November 2014, p. 716) propose that ribosomes translating secretome messenger RNAs (mRNAs) traffic from the cytosol to the endoplasmic reticulum (ER) upon emergence of the signal peptide and return to the cytosol after termination. An accounting of controls demonstrates that mRNAs initiate translation on ER-bound ribosomes and that ribosomes are retained on the ER through many cycles of translation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reid, David W -- Nicchitta, Christopher V -- GM101533/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 Jun 12;348(6240):1217. doi: 10.1126/science.aaa7257. Epub 2015 Jun 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Cardiovascular and Metabolic Disorders, Duke-NUS Graduate Medical School, Singapore 169857, Singapore. ; Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA. christopher.nicchitta@duke.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26068841" target="_blank"〉PubMed〈/a〉

Description: According to the disease module hypothesis, the cellular components associated with a disease segregate in the same neighborhood of the human interactome, the map of biologically relevant molecular interactions. Yet, given the incompleteness of the interactome and the limited knowledge of disease-associated genes, it is not obvious if the available data have sufficient coverage to map out modules associated with each disease. Here we derive mathematical conditions for the identifiability of disease modules and show that the network-based location of each disease module determines its pathobiological relationship to other diseases. For example, diseases with overlapping network modules show significant coexpression patterns, symptom similarity, and comorbidity, whereas diseases residing in separated network neighborhoods are phenotypically distinct. These tools represent an interactome-based platform to predict molecular commonalities between phenotypically related diseases, even if they do not share primary disease genes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435741/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435741/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Menche, Jorg -- Sharma, Amitabh -- Kitsak, Maksim -- Ghiassian, Susan Dina -- Vidal, Marc -- Loscalzo, Joseph -- Barabasi, Albert-Laszlo -- P01-HL083069/HL/NHLBI NIH HHS/ -- P50 HG004233/HG/NHGRI NIH HHS/ -- P50-HG004233/HG/NHGRI NIH HHS/ -- R37 HL061795/HL/NHLBI NIH HHS/ -- R37-HL061795/HL/NHLBI NIH HHS/ -- RC2-HL101543/HL/NHLBI NIH HHS/ -- U01 HG001715/HG/NHGRI NIH HHS/ -- U01 HG007690/HG/NHGRI NIH HHS/ -- U01 HL108630/HL/NHLBI NIH HHS/ -- U01-HG001715/HG/NHGRI NIH HHS/ -- U01-HG007690/HG/NHGRI NIH HHS/ -- U01-HL108630/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2015 Feb 20;347(6224):1257601. doi: 10.1126/science.1257601.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Complex Networks Research and Department of Physics, Northeastern University, 110 Forsyth Street, 111 Dana Research Center, Boston, MA 02115, USA. Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA. Center for Network Science, Central European University, Nador u. 9, 1051 Budapest, Hungary. ; Center for Complex Networks Research and Department of Physics, Northeastern University, 110 Forsyth Street, 111 Dana Research Center, Boston, MA 02115, USA. Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA. ; Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA. Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA. ; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA. ; Center for Complex Networks Research and Department of Physics, Northeastern University, 110 Forsyth Street, 111 Dana Research Center, Boston, MA 02115, USA. Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA. Center for Network Science, Central European University, Nador u. 9, 1051 Budapest, Hungary. Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA. alb@neu.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25700523" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sundquist, Wesley I -- Ullman, Katharine S -- P50 GM082545/GM/NIGMS NIH HHS/ -- R01 AI051174/AI/NIAID NIH HHS/ -- R01 GM112080/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 Jun 19;348(6241):1314-5. doi: 10.1126/science.aac7083.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112-5650, USA. wes@biochem.utah.edu katharine.ullman@hci.utah.edu. ; Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112-5650, USA. wes@biochem.utah.edu katharine.ullman@hci.utah.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26089496" target="_blank"〉PubMed〈/a〉

Description: Transcriptional regulation and posttranscriptional processing underlie many cellular and organismal phenotypes. We used RNA sequence data generated by Genotype-Tissue Expression (GTEx) project to investigate the patterns of transcriptome variation across individuals and tissues. Tissues exhibit characteristic transcriptional signatures that show stability in postmortem samples. These signatures are dominated by a relatively small number of genes-which is most clearly seen in blood-though few are exclusive to a particular tissue and vary more across tissues than individuals. Genes exhibiting high interindividual expression variation include disease candidates associated with sex, ethnicity, and age. Primary transcription is the major driver of cellular specificity, with splicing playing mostly a complementary role; except for the brain, which exhibits a more divergent splicing program. Variation in splicing, despite its stochasticity, may play in contrast a comparatively greater role in defining individual phenotypes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mele, Marta -- Ferreira, Pedro G -- Reverter, Ferran -- DeLuca, David S -- Monlong, Jean -- Sammeth, Michael -- Young, Taylor R -- Goldmann, Jakob M -- Pervouchine, Dmitri D -- Sullivan, Timothy J -- Johnson, Rory -- Segre, Ayellet V -- Djebali, Sarah -- Niarchou, Anastasia -- GTEx Consortium -- Wright, Fred A -- Lappalainen, Tuuli -- Calvo, Miquel -- Getz, Gad -- Dermitzakis, Emmanouil T -- Ardlie, Kristin G -- Guigo, Roderic -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- R01 DA006227-17/DA/NIDA NIH HHS/ -- R01 MH090936/MH/NIMH NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):660-5. doi: 10.1126/science.aaa0355.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. McGill University, Montreal, Canada. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Radboud University, Nijmegen, Netherlands. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Broad Institute of MIT and Harvard, Cambridge, MA, USA. McGill University, Montreal, Canada. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. Radboud University, Nijmegen, Netherlands. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. North Carolina State University, Raleigh, NC, USA. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. ; North Carolina State University, Raleigh, NC, USA. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. ; Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. kardlie@broadinstitute.org roderic.guigo@crg.cat. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. kardlie@broadinstitute.org roderic.guigo@crg.cat.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954002" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Haddad, Nick M -- New York, N.Y. -- Science. 2015 Dec 4;350(6265):1166-7. doi: 10.1126/science.aad5072.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Applied Ecology, North Carolina State University, Raleigh, NC 27695, USA. nick_haddad@ncsu.ed.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26785459" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bernstein, Rachel -- New York, N.Y. -- Science. 2015 Mar 13;347(6227):1282. doi: 10.1126/science.347.6227.1282.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Rachel Bernstein is a staf writer for Science Careers. For more on life and careers, visit sciencecareers.org. Send your story to SciCareerEditor@aaas.org.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25766239" target="_blank"〉PubMed〈/a〉

Description: Human higher cognition is attributed to the evolutionary expansion and elaboration of the human cerebral cortex. However, the genetic mechanisms contributing to these developmental changes are poorly understood. We used comparative epigenetic profiling of human, rhesus macaque, and mouse corticogenesis to identify promoters and enhancers that have gained activity in humans. These gains are significantly enriched in modules of coexpressed genes in the cortex that function in neuronal proliferation, migration, and cortical-map organization. Gain-enriched modules also showed correlated gene expression patterns and similar transcription factor binding site enrichments in promoters and enhancers, suggesting that they are connected by common regulatory mechanisms. Our results reveal coordinated patterns of potential regulatory changes associated with conserved developmental processes during corticogenesis, providing insight into human cortical evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426903/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426903/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reilly, Steven K -- Yin, Jun -- Ayoub, Albert E -- Emera, Deena -- Leng, Jing -- Cotney, Justin -- Sarro, Richard -- Rakic, Pasko -- Noonan, James P -- 099175/Z/12/Z/Wellcome Trust/United Kingdom -- DA023999/DA/NIDA NIH HHS/ -- F32 GM106628/GM/NIGMS NIH HHS/ -- GM094780/GM/NIGMS NIH HHS/ -- NS014841/NS/NINDS NIH HHS/ -- P30 CA016359/CA/NCI NIH HHS/ -- R01 DA023999/DA/NIDA NIH HHS/ -- R01 GM094780/GM/NIGMS NIH HHS/ -- T32 GM007223/GM/NIGMS NIH HHS/ -- Medical Research Council/United Kingdom -- New York, N.Y. -- Science. 2015 Mar 6;347(6226):1155-9. doi: 10.1126/science.1260943.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA. ; Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA. Department of Neurobiology, Yale School of Medicine, New Haven, CT 06510, USA. ; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA. Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA. ; Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA. Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA. Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA. james.noonan@yale.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25745175" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hall, Stephen S -- New York, N.Y. -- Science. 2015 Sep 18;349(6254):1274-8. doi: 10.1126/science.349.6254.1274.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26383933" target="_blank"〉PubMed〈/a〉

Description: Paradigms of sustainable exploitation focus on population dynamics of prey and yields to humanity but ignore the behavior of humans as predators. We compared patterns of predation by contemporary hunters and fishers with those of other predators that compete over shared prey (terrestrial mammals and marine fishes). Our global survey (2125 estimates of annual finite exploitation rate) revealed that humans kill adult prey, the reproductive capital of populations, at much higher median rates than other predators (up to 14 times higher), with particularly intense exploitation of terrestrial carnivores and fishes. Given this competitive dominance, impacts on predators, and other unique predatory behavior, we suggest that humans function as an unsustainable "super predator," which-unless additionally constrained by managers-will continue to alter ecological and evolutionary processes globally.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Darimont, Chris T -- Fox, Caroline H -- Bryan, Heather M -- Reimchen, Thomas E -- New York, N.Y. -- Science. 2015 Aug 21;349(6250):858-60. doi: 10.1126/science.aac4249.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Geography, University of Victoria, Post Office Box 1700, Station CSC, Victoria, British Columbia V8W 2Y2, Canada. Raincoast Conservation Foundation, Post Office Box 2429, Sidney, British Columbia V8L 3Y3, Canada. Hakai Institute, Post Office Box 309, Heriot Bay, British Columbia V0P 1H0, Canada. darimont@uvic.ca. ; Department of Geography, University of Victoria, Post Office Box 1700, Station CSC, Victoria, British Columbia V8W 2Y2, Canada. Raincoast Conservation Foundation, Post Office Box 2429, Sidney, British Columbia V8L 3Y3, Canada. ; Department of Geography, University of Victoria, Post Office Box 1700, Station CSC, Victoria, British Columbia V8W 2Y2, Canada. Raincoast Conservation Foundation, Post Office Box 2429, Sidney, British Columbia V8L 3Y3, Canada. Hakai Institute, Post Office Box 309, Heriot Bay, British Columbia V0P 1H0, Canada. ; Department of Biology, University of Victoria, Post Office Box 3060, Station CSC, Victoria, British Columbia V8W 2Y2, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26293961" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Merrigan, Kathleen -- Griffin, Timothy -- Wilde, Parke -- Robien, Kimberly -- Goldberg, Jeanne -- Dietz, William -- New York, N.Y. -- Science. 2015 Oct 9;350(6257):165-6. doi: 10.1126/science.aab2031. Epub 2015 Oct 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Trachtenberg School of Public Policy and Public Administration, the George Washington University, Washington, DC 20052, USA. kmerrigan@gwu.edu. ; Friedman School of Nutrition Science and Policy, Tufts University, Medford, MA 02155, USA. ; Milken Institute School of Public Health, the George Washington University, Washington, DC 20052, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26429883" target="_blank"〉PubMed〈/a〉

Description: Insulin-induced gene 1 (Insig-1) and Insig-2 are endoplasmic reticulum membrane-embedded sterol sensors that regulate the cellular accumulation of sterols. Despite their physiological importance, the structural information on Insigs remains limited. Here we report the high-resolution structures of MvINS, an Insig homolog from Mycobacterium vanbaalenii. MvINS exists as a homotrimer. Each protomer comprises six transmembrane segments (TMs), with TM3 and TM4 contributing to homotrimerization. The six TMs enclose a V-shaped cavity that can accommodate a diacylglycerol molecule. A homology-based structural model of human Insig-2, together with biochemical characterizations, suggest that the central cavity of Insig-2 accommodates 25-hydroxycholesterol, whereas TM3 and TM4 engage in Scap binding. These analyses provide an important framework for further functional and mechanistic understanding of Insig proteins and the sterol regulatory element-binding protein pathway.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704858/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704858/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ren, Ruobing -- Zhou, Xinhui -- He, Yuan -- Ke, Meng -- Wu, Jianping -- Liu, Xiaohui -- Yan, Chuangye -- Wu, Yixuan -- Gong, Xin -- Lei, Xiaoguang -- Yan, S Frank -- Radhakrishnan, Arun -- Yan, Nieng -- HL-20948/HL/NHLBI NIH HHS/ -- P01 HL020948/HL/NHLBI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Jul 10;349(6244):187-91. doi: 10.1126/science.aab1091.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉State Key Laboratory of Membrane Biology, Tsinghua University, Beijing 100084, China. Center for Structural Biology, School of Life Sciences, School of Medicine, Tsinghua University, Beijing 100084, China. Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China. ; National Institute of Biological Sciences, Beijing 102206, China. ; Molecular Design and Chemical Biology, Therapeutic Modalities, Roche Pharma Research and Early Development, Roche Innovation Center Shanghai, Shanghai 201203, China. ; Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9046, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26160948" target="_blank"〉PubMed〈/a〉