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Institution

National Autonomous University of Mexico

EducationMexico City, Distrito Federal, Mexico
About: National Autonomous University of Mexico is a education organization based out in Mexico City, Distrito Federal, Mexico. It is known for research contribution in the topics: Population & Galaxy. The organization has 72868 authors who have published 127797 publications receiving 2285543 citations. The organization is also known as: UNAM & Universidad Nacional Autónoma de México.
Topics: Population, Galaxy, Catalysis, Thin film, Stars


Papers
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Journal ArticleDOI
Kazunori Akiyama, Antxon Alberdi1, Walter Alef2, Keiichi Asada3  +403 moreInstitutions (82)
TL;DR: In this article, the Event Horizon Telescope was used to reconstruct event-horizon-scale images of the supermassive black hole candidate in the center of the giant elliptical galaxy M87.
Abstract: When surrounded by a transparent emission region, black holes are expected to reveal a dark shadow caused by gravitational light bending and photon capture at the event horizon. To image and study this phenomenon, we have assembled the Event Horizon Telescope, a global very long baseline interferometry array observing at a wavelength of 1.3 mm. This allows us to reconstruct event-horizon-scale images of the supermassive black hole candidate in the center of the giant elliptical galaxy M87. We have resolved the central compact radio source as an asymmetric bright emission ring with a diameter of 42 +/- 3 mu as, which is circular and encompasses a central depression in brightness with a flux ratio greater than or similar to 10: 1. The emission ring is recovered using different calibration and imaging schemes, with its diameter and width remaining stable over four different observations carried out in different days. Overall, the observed image is consistent with expectations for the shadow of a Kerr black hole as predicted by general relativity. The asymmetry in brightness in the ring can be explained in terms of relativistic beaming of the emission from a plasma rotating close to the speed of light around a black hole. We compare our images to an extensive library of ray-traced general-relativistic magnetohydrodynamic simulations of black holes and derive a central mass of M = (6.5 +/- 0.7) x 10(9) M-circle dot. Our radio-wave observations thus provide powerful evidence for the presence of supermassive black holes in centers of galaxies and as the central engines of active galactic nuclei. They also present a new tool to explore gravity in its most extreme limit and on a mass scale that was so far not accessible.

2,589 citations

Journal ArticleDOI
Sabeeha S. Merchant1, Simon E. Prochnik2, Olivier Vallon3, Elizabeth H. Harris4, Steven J. Karpowicz1, George B. Witman5, Astrid Terry2, Asaf Salamov2, Lillian K. Fritz-Laylin6, Laurence Maréchal-Drouard7, Wallace F. Marshall8, Liang-Hu Qu9, David R. Nelson10, Anton A. Sanderfoot11, Martin H. Spalding12, Vladimir V. Kapitonov13, Qinghu Ren, Patrick J. Ferris14, Erika Lindquist2, Harris Shapiro2, Susan Lucas2, Jane Grimwood15, Jeremy Schmutz15, Pierre Cardol3, Pierre Cardol16, Heriberto Cerutti17, Guillaume Chanfreau1, Chun-Long Chen9, Valérie Cognat7, Martin T. Croft18, Rachel M. Dent6, Susan K. Dutcher19, Emilio Fernández20, Hideya Fukuzawa21, David González-Ballester22, Diego González-Halphen23, Armin Hallmann, Marc Hanikenne16, Michael Hippler24, William Inwood6, Kamel Jabbari25, Ming Kalanon26, Richard Kuras3, Paul A. Lefebvre11, Stéphane D. Lemaire27, Alexey V. Lobanov17, Martin Lohr28, Andrea L Manuell29, Iris Meier30, Laurens Mets31, Maria Mittag32, Telsa M. Mittelmeier33, James V. Moroney34, Jeffrey L. Moseley22, Carolyn A. Napoli33, Aurora M. Nedelcu35, Krishna K. Niyogi6, Sergey V. Novoselov17, Ian T. Paulsen, Greg Pazour5, Saul Purton36, Jean-Philippe Ral7, Diego Mauricio Riaño-Pachón37, Wayne R. Riekhof, Linda A. Rymarquis38, Michael Schroda, David B. Stern39, James G. Umen14, Robert D. Willows40, Nedra F. Wilson41, Sara L. Zimmer39, Jens Allmer42, Janneke Balk18, Katerina Bisova43, Chong-Jian Chen9, Marek Eliáš44, Karla C Gendler33, Charles R. Hauser45, Mary Rose Lamb46, Heidi K. Ledford6, Joanne C. Long1, Jun Minagawa47, M. Dudley Page1, Junmin Pan48, Wirulda Pootakham22, Sanja Roje49, Annkatrin Rose50, Eric Stahlberg30, Aimee M. Terauchi1, Pinfen Yang51, Steven G. Ball7, Chris Bowler25, Carol L. Dieckmann33, Vadim N. Gladyshev17, Pamela J. Green38, Richard A. Jorgensen33, Stephen P. Mayfield29, Bernd Mueller-Roeber37, Sathish Rajamani30, Richard T. Sayre30, Peter Brokstein2, Inna Dubchak2, David Goodstein2, Leila Hornick2, Y. Wayne Huang2, Jinal Jhaveri2, Yigong Luo2, Diego Martinez2, Wing Chi Abby Ngau2, Bobby Otillar2, Alexander Poliakov2, Aaron Porter2, Lukasz Szajkowski2, Gregory Werner2, Kemin Zhou2, Igor V. Grigoriev2, Daniel S. Rokhsar2, Daniel S. Rokhsar6, Arthur R. Grossman22 
University of California, Los Angeles1, United States Department of Energy2, University of Paris3, Duke University4, University of Massachusetts Medical School5, University of California, Berkeley6, Centre national de la recherche scientifique7, University of California, San Francisco8, Sun Yat-sen University9, University of Tennessee Health Science Center10, University of Minnesota11, Iowa State University12, Genetic Information Research Institute13, Salk Institute for Biological Studies14, Stanford University15, University of Liège16, University of Nebraska–Lincoln17, University of Cambridge18, Washington University in St. Louis19, University of Córdoba (Spain)20, Kyoto University21, Carnegie Institution for Science22, National Autonomous University of Mexico23, University of Münster24, École Normale Supérieure25, University of Melbourne26, University of Paris-Sud27, University of Mainz28, Scripps Research Institute29, Ohio State University30, University of Chicago31, University of Jena32, University of Arizona33, Louisiana State University34, University of New Brunswick35, University College London36, University of Potsdam37, Delaware Biotechnology Institute38, Boyce Thompson Institute for Plant Research39, Macquarie University40, Oklahoma State University Center for Health Sciences41, İzmir University of Economics42, Academy of Sciences of the Czech Republic43, Charles University in Prague44, St. Edward's University45, University of Puget Sound46, Hokkaido University47, Tsinghua University48, Washington State University49, Appalachian State University50, Marquette University51
12 Oct 2007-Science
TL;DR: Analyses of the Chlamydomonas genome advance the 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.
Abstract: 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 approximately 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.

2,554 citations

Journal ArticleDOI
TL;DR: Estimates of extinction rates reveal an exceptionally rapid loss of biodiversity over the last few centuries, indicating that a sixth mass extinction is already under way and a window of opportunity is rapidly closing.
Abstract: The oft-repeated claim that Earth’s biota is entering a sixth “mass extinction” depends on clearly demonstrating that current extinction rates are far above the “background” rates prevailing between the five previous mass extinctions. Earlier estimates of extinction rates have been criticized for using assumptions that might overestimate the severity of the extinction crisis. We assess, using extremely conservative assumptions, whether human activities are causing a mass extinction. First, we use a recent estimate of a background rate of 2 mammal extinctions per 10,000 species per 100 years (that is, 2 E/MSY), which is twice as high as widely used previous estimates. We then compare this rate with the current rate of mammal and vertebrate extinctions. The latter is conservatively low because listing a species as extinct requires meeting stringent criteria. Even under our assumptions, which would tend to minimize evidence of an incipient mass extinction, the average rate of vertebrate species loss over the last century is up to 100 times higher than the background rate. Under the 2 E/MSY background rate, the number of species that have gone extinct in the last century would have taken, depending on the vertebrate taxon, between 800 and 10,000 years to disappear. These estimates reveal an exceptionally rapid loss of biodiversity over the last few centuries, indicating that a sixth mass extinction is already under way. Averting a dramatic decay of biodiversity and the subsequent loss of ecosystem services is still possible through intensified conservation efforts, but that window of opportunity is rapidly closing.

2,544 citations

Journal ArticleDOI
Shadab Alam1, Metin Ata2, Stephen Bailey3, Florian Beutler3, Dmitry Bizyaev4, Dmitry Bizyaev5, Jonathan Blazek6, Adam S. Bolton7, Joel R. Brownstein7, Angela Burden8, Chia-Hsun Chuang2, Chia-Hsun Chuang9, Johan Comparat9, Antonio J. Cuesta10, Kyle S. Dawson7, Daniel J. Eisenstein11, Stephanie Escoffier12, Héctor Gil-Marín13, Héctor Gil-Marín14, Jan Niklas Grieb15, Nick Hand16, Shirley Ho1, Karen Kinemuchi4, D. Kirkby17, Francisco S. Kitaura2, Francisco S. Kitaura16, Francisco S. Kitaura3, Elena Malanushenko4, Viktor Malanushenko4, Claudia Maraston18, Cameron K. McBride11, Robert C. Nichol18, Matthew D. Olmstead19, Daniel Oravetz4, Nikhil Padmanabhan8, Nathalie Palanque-Delabrouille, Kaike Pan4, Marcos Pellejero-Ibanez20, Marcos Pellejero-Ibanez21, Will J. Percival18, Patrick Petitjean22, Francisco Prada9, Francisco Prada21, Adrian M. Price-Whelan23, Beth Reid16, Beth Reid3, Sergio Rodríguez-Torres21, Sergio Rodríguez-Torres9, Natalie A. Roe3, Ashley J. Ross6, Ashley J. Ross18, Nicholas P. Ross24, Graziano Rossi25, Jose Alberto Rubino-Martin21, Jose Alberto Rubino-Martin20, Shun Saito15, Salvador Salazar-Albornoz15, Lado Samushia26, Ariel G. Sánchez15, Siddharth Satpathy1, David J. Schlegel3, Donald P. Schneider27, Claudia G. Scóccola28, Claudia G. Scóccola9, Claudia G. Scóccola29, Hee-Jong Seo30, Erin Sheldon31, Audrey Simmons4, Anže Slosar31, Michael A. Strauss23, Molly E. C. Swanson11, Daniel Thomas18, Jeremy L. Tinker32, Rita Tojeiro33, Mariana Vargas Magaña34, Mariana Vargas Magaña1, Jose Alberto Vazquez31, Licia Verde, David A. Wake35, David A. Wake36, Yuting Wang37, Yuting Wang18, David H. Weinberg6, Martin White3, Martin White16, W. Michael Wood-Vasey38, Christophe Yèche, Idit Zehavi39, Zhongxu Zhai33, Gong-Bo Zhao18, Gong-Bo Zhao37 
TL;DR: In this article, the authors present cosmological results from the final galaxy clustering data set of the Baryon Oscillation Spectroscopic Survey, part of the Sloan Digital Sky Survey III.
Abstract: We present cosmological results from the final galaxy clustering data set of the Baryon Oscillation Spectroscopic Survey, part of the Sloan Digital Sky Survey III. Our combined galaxy sample comprises 1.2 million massive galaxies over an effective area of 9329 deg^2 and volume of 18.7 Gpc^3, divided into three partially overlapping redshift slices centred at effective redshifts 0.38, 0.51 and 0.61. We measure the angular diameter distance and Hubble parameter H from the baryon acoustic oscillation (BAO) method, in combination with a cosmic microwave background prior on the sound horizon scale, after applying reconstruction to reduce non-linear effects on the BAO feature. Using the anisotropic clustering of the pre-reconstruction density field, we measure the product D_MH from the Alcock–Paczynski (AP) effect and the growth of structure, quantified by fσ_8(z), from redshift-space distortions (RSD). We combine individual measurements presented in seven companion papers into a set of consensus values and likelihoods, obtaining constraints that are tighter and more robust than those from any one method; in particular, the AP measurement from sub-BAO scales sharpens constraints from post-reconstruction BAOs by breaking degeneracy between D_M and H. Combined with Planck 2016 cosmic microwave background measurements, our distance scale measurements simultaneously imply curvature Ω_K = 0.0003 ± 0.0026 and a dark energy equation-of-state parameter w = −1.01 ± 0.06, in strong affirmation of the spatially flat cold dark matter (CDM) model with a cosmological constant (ΛCDM). Our RSD measurements of fσ_8, at 6 per cent precision, are similarly consistent with this model. When combined with supernova Ia data, we find H_0 = 67.3 ± 1.0 km s^−1 Mpc^−1 even for our most general dark energy model, in tension with some direct measurements. Adding extra relativistic species as a degree of freedom loosens the constraint only slightly, to H_0 = 67.8 ± 1.2 km s^−1 Mpc^−1. Assuming flat ΛCDM, we find Ω_m = 0.310 ± 0.005 and H_0 = 67.6 ± 0.5 km s^−1 Mpc^−1, and we find a 95 per cent upper limit of 0.16 eV c^−2 on the neutrino mass sum.

2,413 citations

Journal ArticleDOI
Mingxun Wang1, Jeremy Carver1, Vanessa V. Phelan2, Laura M. Sanchez2, Neha Garg2, Yao Peng1, Don D. Nguyen1, Jeramie D. Watrous2, Clifford A. Kapono1, Tal Luzzatto-Knaan2, Carla Porto2, Amina Bouslimani2, Alexey V. Melnik2, Michael J. Meehan2, Wei-Ting Liu3, Max Crüsemann4, Paul D. Boudreau4, Eduardo Esquenazi, Mario Sandoval-Calderón5, Roland D. Kersten6, Laura A. Pace2, Robert A. Quinn7, Katherine R. Duncan8, Cheng-Chih Hsu1, Dimitrios J. Floros1, Ronnie G. Gavilan, Karin Kleigrewe4, Trent R. Northen9, Rachel J. Dutton10, Delphine Parrot11, Erin E. Carlson12, Bertrand Aigle13, Charlotte Frydenlund Michelsen14, Lars Jelsbak14, Christian Sohlenkamp5, Pavel A. Pevzner1, Anna Edlund15, Anna Edlund16, Jeffrey S. McLean17, Jeffrey S. McLean16, Jörn Piel18, Brian T. Murphy19, Lena Gerwick4, Chih-Chuang Liaw20, Yu-Liang Yang21, Hans-Ulrich Humpf22, Maria Maansson14, Robert A. Keyzers23, Amy C. Sims24, Andrew R. Johnson25, Ashley M. Sidebottom25, Brian E. Sedio26, Andreas Klitgaard14, Charles B. Larson4, Charles B. Larson2, Cristopher A. Boya P., Daniel Torres-Mendoza, David Gonzalez2, Denise Brentan Silva27, Denise Brentan Silva28, Lucas Miranda Marques28, Daniel P. Demarque28, Egle Pociute, Ellis C. O’Neill4, Enora Briand11, Enora Briand4, Eric J. N. Helfrich18, Eve A. Granatosky29, Evgenia Glukhov4, Florian Ryffel18, Hailey Houson, Hosein Mohimani1, Jenan J. Kharbush4, Yi Zeng1, Julia A. Vorholt18, Kenji L. Kurita30, Pep Charusanti1, Kerry L. McPhail31, Kristian Fog Nielsen14, Lisa Vuong, Maryam Elfeki19, Matthew F. Traxler32, Niclas Engene33, Nobuhiro Koyama2, Oliver B. Vining31, Ralph S. Baric24, Ricardo Pianta Rodrigues da Silva28, Samantha J. Mascuch4, Sophie Tomasi11, Stefan Jenkins9, Venkat R. Macherla, Thomas Hoffman, Vinayak Agarwal4, Philip G. Williams34, Jingqui Dai34, Ram P. Neupane34, Joshua R. Gurr34, Andrés M. C. Rodríguez28, Anne Lamsa1, Chen Zhang1, Kathleen Dorrestein2, Brendan M. Duggan2, Jehad Almaliti2, Pierre-Marie Allard35, Prasad Phapale, Louis-Félix Nothias36, Theodore Alexandrov, Marc Litaudon36, Jean-Luc Wolfender35, Jennifer E. Kyle37, Thomas O. Metz37, Tyler Peryea38, Dac-Trung Nguyen38, Danielle VanLeer38, Paul Shinn38, Ajit Jadhav38, Rolf Müller, Katrina M. Waters37, Wenyuan Shi16, Xueting Liu39, Lixin Zhang39, Rob Knight1, Paul R. Jensen4, Bernhard O. Palsson1, Kit Pogliano1, Roger G. Linington30, Marcelino Gutiérrez, Norberto Peporine Lopes28, William H. Gerwick2, William H. Gerwick4, Bradley S. Moore2, Bradley S. Moore4, Pieter C. Dorrestein4, Pieter C. Dorrestein2, Nuno Bandeira1, Nuno Bandeira2 
TL;DR: In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations and data-driven social-networking should facilitate identification of spectra and foster collaborations.
Abstract: The potential of the diverse chemistries present in natural products (NP) for biotechnology and medicine remains untapped because NP databases are not searchable with raw data and the NP community has no way to share data other than in published papers. Although mass spectrometry (MS) techniques are well-suited to high-throughput characterization of NP, there is a pressing need for an infrastructure to enable sharing and curation of data. We present Global Natural Products Social Molecular Networking (GNPS; http://gnps.ucsd.edu), an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations. Data-driven social-networking should facilitate identification of spectra and foster collaborations. We also introduce the concept of 'living data' through continuous reanalysis of deposited data.

2,365 citations


Authors

Showing all 73617 results

NameH-indexPapersCitations
Richard Peto183683231434
Anton M. Koekemoer1681127106796
Rory Collins162489193407
Timothy C. Beers156934102581
Vivek Sharma1503030136228
Kjell Fuxe142147989846
Prashant V. Kamat14072579259
Carmen García139150396925
Harold A. Mooney135450100404
Efe Yazgan12898679041
Roberto Maiolino12781661724
Peter Nugent12775492988
William R. Miller12560172570
Nicholas A. Kotov12357455210
John C. Wingfield12250952291
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023311
2022967
20217,482
20207,906
20197,107