Antonio González

ORCID: 0000-0002-2624-0606
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About
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Research Areas
  • Natural product bioactivities and synthesis
  • Rheumatoid Arthritis Research and Therapies
  • Sesquiterpenes and Asteraceae Studies
  • Systemic Lupus Erythematosus Research
  • Osteoarthritis Treatment and Mechanisms
  • Monoclonal and Polyclonal Antibodies Research
  • Natural Compounds in Disease Treatment
  • Marine Sponges and Natural Products
  • Cytokine Signaling Pathways and Interactions
  • Plant Toxicity and Pharmacological Properties
  • Gut microbiota and health
  • Phytochemistry and Biological Activities
  • Phytochemical Studies and Bioactivities
  • Employment, Labor, and Gender Studies
  • Inflammatory mediators and NSAID effects
  • Synthetic Organic Chemistry Methods
  • Plant biochemistry and biosynthesis
  • T-cell and B-cell Immunology
  • Diabetes and associated disorders
  • Bioactive Compounds and Antitumor Agents
  • Labor Law and Work Dynamics
  • Trypanosoma species research and implications
  • Traditional and Medicinal Uses of Annonaceae
  • Chemical synthesis and alkaloids
  • Chronic Lymphocytic Leukemia Research

Instituto de Investigación Sanitaria de Santiago
2015-2024

University of San Diego
2024

The University of Texas at Austin
2004-2024

Hebron University
2024

University of California, San Diego
2015-2023

Spanish Ovarian Cancer Research Group
2023

National Nuclear Energy Commission
2023

Instituto de Instrumentación para Imagen Molecular
2023

Universidad Complutense de Madrid
2022

Center for Autism and Related Disorders
2022

Curtis Huttenhower Dirk Gevers Rob Knight Sahar Abubucker Jonathan H. Badger and 95 more Asif Chinwalla Heather H. Creasy Ashlee M. Earl Michael G. FitzGerald Robert S. Fulton Michelle Giglio Kymberlie Hallsworth-Pepin Elizabeth A. Lobos Ramana Madupu Vincent Magrini John Martin Makedonka Mitreva Donna M. Muzny Erica Sodergren James Versalovic Aye Wollam Kim C. Worley Jennifer R. Wortman Sarah Young Qiandong Zeng Kjersti M. Aagaard Olukemi O. Abolude Emma Allen‐Vercoe Eric J. Alm Lucia Alvarado Gary L. Andersen Scott Anderson Elizabeth L. Appelbaum Harindra Arachchi Gary C. Armitage Cesar Arze Tulin Ayvaz Carl C. Baker Lisa Begg Tsegahiwot Belachew Veena Bhonagiri Monika Bihan Martin J. Blaser Toby Bloom Vivien Bonazzi J. Paul Brooks Gregory A. Buck Christian Buhay Dana Busam Joseph L. Campbell Shane R. Canon Brandi L. Cantarel Patrick Chain I.-Min A. Chen Lei Chen Shaila Chhibba Ken Chu Dawn Ciulla José C. Clemente Sandra W. Clifton Sean Conlan Jonathan Crabtree Mary A. Cutting Noam J. Davidovics Catherine Davis Todd Z. DeSantis Carolyn Deal Kimberley D. Delehaunty Floyd E. Dewhirst Elena Deych Yan Ding David J. Dooling Shannon Dugan W. Michael Dunne A. Scott Durkin R. C. Edgar Rachel Erlich Candace N. Farmer Ruth M. Farrell Karoline Faust Michael Feldgarden Victor Felix Sheila Fisher Anthony A. Fodor Larry J. Forney Leslie Foster Valentina Di Francesco Jonathan Friedman Dennis C. Friedrich Catrina C. Fronick Lucinda Fulton Hongyu Gao M. Nathalia Garcia Georgia Giannoukos Christina Giblin Maria Y. Giovanni Jonathan M. Goldberg Johannes B. Goll Antonio González Allison Griggs

Studies of the human microbiome have revealed that even healthy individuals differ remarkably in microbes occupy habitats such as gut, skin and vagina. Much this diversity remains unexplained, although diet, environment, host genetics early microbial exposure all been implicated. Accordingly, to characterize ecology human-associated communities, Human Microbiome Project has analysed largest cohort set distinct, clinically relevant body so far. We found abundance each habitat's signature vary...

10.1038/nature11234 article EN cc-by-nc-sa Nature 2012-06-01

In all higher plants studied to date, the anthocyanin pigment pathway is regulated by a suite of transcription factors that include Myb, bHLH and WD-repeat proteins. However, in Arabidopsis thaliana, Myb regulators remain be conclusively identified, little known about regulation TTG1-dependent transcriptional complexes. Previous overexpression PAP1 suggested genes from entire phenylpropanoid are targets Myb/bHLH/WD-repeat complexes Arabidopsis, contrast other plants. Here we demonstrate...

10.1111/j.1365-313x.2007.03373.x article EN The Plant Journal 2007-11-23

Abstract Background As microbial ecologists take advantage of high-throughput sequencing technologies to describe communities across ever-increasing numbers samples, new analysis tools are required relate the distribution microbes among larger communities, and use increasingly rich standards-compliant metadata understand biological factors driving these relationships. In particular, Earth Microbiome Project drives needs by profiling genomic content tens thousands samples multiple environment...

10.1186/2047-217x-2-16 article EN cc-by GigaScience 2013-11-26

Abstract Background Understanding the normal temporal variation in human microbiome is critical to developing treatments for putative microbiome-related afflictions such as obesity, Crohn's disease, inflammatory bowel disease and malnutrition. Sequencing computational technologies, however, have been a limiting factor performing dense time series analysis of microbiome. Here, we present largest microbiota date, covering two individuals at four body sites over 396 timepoints. Results We find...

10.1186/gb-2011-12-5-r50 article EN cc-by Genome biology 2011-05-30

GLABRA3 (GL3) encodes a bHLH protein that interacts with the WD repeat protein, TTG1. GL3 overexpression suppresses trichome defect of pleiotropic ttg1 mutations. However, single gl3 mutations only affect pathway modest number reduction. A novel unlinked bHLH-encoding locus is described here, ENHANCER OF (EGL3). When mutated, egl3 gives totally glabrous plants in mutant background. The double mutant, egl3, has phenotype like having defective anthocyanin production, seed coat mucilage and...

10.1242/dev.00681 article EN Development 2003-09-02
Pelin Yilmaz Renzo Kottmann Dawn Field Rob Knight James R. Cole and 93 more Linda Amaral‐Zettler Jack A. Gilbert Ilene Karsch‐Mizrachi Anjanette Johnston Guy Cochrane Robert Vaughan Chris Hunter Joonhong Park Norman Morrison Philippe Rocca‐Serra Peter Sterk Manimozhiyan Arumugam Mark Bailey Laura K. Baumgartner Bruce W. Birren Martin J. Blaser Vivien Bonazzi Tim Booth Peer Bork Frederic D. Bushman Pier Luigi Buttigieg Patrick Chain Emily S. Charlson Elizabeth K. Costello Heather Huot-Creasy Peter Dawyndt Todd Z. DeSantis Noah Fierer Jed A. Fuhrman Rachel E. Gallery Dirk Gevers Richard A. Gibbs Inigo San Gil Antonio González Jeffrey I. Gordon Robert M. Guralnick Wolfgang Hankeln Sarah K. Highlander Philip Hugenholtz Janet Jansson Andrew L. Kau Scott T. Kelley Jerry Kennedy Dan Knights Omry Koren Justin Kuczynski Nikos C. Kyrpides Robert D. Larsen Christian L. Lauber Teresa Legg Ruth E. Ley Catherine Lozupone Wolfgang Ludwig Donna Lyons Eamonn Maguire Barbara A. Methé Folker Meyer Brian D. Muegge Sara Nakielny William Nelson Diana R. Nemergut Josh D. Neufeld Lindsay K. Newbold Anna Oliver Norman R. Pace Giri Prakash Jörg Peplies Joseph F. Petrosino Lita M. Proctor Elmar Pruesse Christian Quast Jeroen Raes Sujeevan Ratnasingham Jacques Ravel David A. Relman Susanna‐Assunta Sansone Patrick D. Schloss Lynn M. Schriml Rohini Sinha Michelle I. Smith Erica Sodergren Aymé Spor Jesse Stombaugh James M. Tiedje Doyle V. Ward George M. Weinstock Doug Wendel Owen White Andrew S. Whiteley Andreas Wilke Jennifer R. Wortman Tanya Yatsunenko Frank Oliver Glöckner

10.1038/nbt.1823 article EN Nature Biotechnology 2011-05-01
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v1 article EN 2018-10-24
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295v2 preprint EN 2018-12-03

The position-dependent specification of the hair and non-hair cell types in Arabidopsis root epidermis provides a simple model for study fate determination plants. Several putative transcriptional regulators are known to influence this decision. Indirect evidence from studies with maize R gene has been used suggest that bHLH transcription factor also participates process. We show two genes encoding proteins, GLABRA3(GL3) ENHANCER OF GLABRA3 (EGL3), act partially redundant manner specify...

10.1242/dev.00880 article EN Development 2003-11-25

Genomewide association studies of autoimmune diseases have mapped hundreds susceptibility regions in the genome. However, only for a few signals has causal gene been identified, and even fewer variant underlying mechanism defined. Coincident associations DNA variants affecting both risk disease quantitative immune variables provide an informative route to explore mechanisms drug-targetable pathways.Using case-control samples from Sardinia, Italy, we performed genomewide study multiple...

10.1056/nejmoa1610528 article EN New England Journal of Medicine 2017-04-26

Mammals have diversified into many dietary niches. Specialized myrmecophagous (ant- and termite-eating) placental mammals represent a textbook example of evolutionary convergence driven by extreme diet specialization. Armadillos, anteaters, aardvarks, pangolins aardwolves thus provide model system for understanding the potential role gut microbiota in convergent adaptation to myrmecophagy. Here, we expand upon previous mammalian microbiome studies using high-throughput barcoded Illumina...

10.1111/mec.12501 article EN other-oa Molecular Ecology 2013-08-29
Xueya Zhou Pamela Feliciano Chang Shu Tianyun Wang Irina Astrovskaya and 95 more Jacob B. Hall Joseph Obiajulu Jessica Wright Shwetha C. Murali Simon Xu Leo Brueggeman Taylor R. Thomas Olena Marchenko Christopher Fleisch Sarah D. Barns LeeAnne Green Snyder Bing Han Timothy S. Chang Tychele N. Turner William T. Harvey Andrew Nishida Brian J. O’Roak Daniel H. Geschwind Adrienne Adams Alpha Amatya Alicia Andrus Asif Bashar Anna F. Berman Alison Brown Alexies Camba Amanda C. Gulsrud Anthony D. Krentz Amanda D. Shocklee Amy Esler Alex E. Lash Anne Fanta Ali Fatemi Angela Fish Alexandra Goler Antonio González Anibal Gutierrez Antonio Y. Hardan Amy Hess Anna Hirshman Alison Holbrook J. Andrea Anthony J. Griswold Angela Gruber A Jarratt Anna Jelinek Alissa Jorgenson Aline Juárez Annes Kim Alex Kitaygorodsky Addie Luo Angela L. Rachubinski Allison Wainer Amy M. Daniels Anup Mankar Andrew L. Mason Alexandra Miceli Anna Milliken Amy Morales-Lara Alexandra N. Stephens Ai Nhu Nguyen Amy Nicholson Anna Marie Paolicelli Alexander P. McKenzie Abha R. Gupta A Raven Anna Rhea Andrea Simon Aubrie Soucy Amy Swanson Anthony Sziklay Amber Tallbull Angela Tesng Audrey W. M. Ward Allyson Zick Brittani A. Hilscher Brandi Bell Barbara Enright B. E. Robertson Brenda Hauf Bill Jensen Brandon Lobisi Brianna M. Vernoia Brady Schwind Bonnie VanMetre Craig A. Erickson Catherine Sullivan Charles F. Albright Claudine Anglo Cate Buescher Catherine Bradley Claudia Campo-Soria Cheryl Cohen Costanza Colombi Chris Diggins Catherine Edmonson

Abstract To capture the full spectrum of genetic risk for autism, we performed a two-stage analysis rare de novo and inherited coding variants in 42,607 autism cases, including 35,130 new cases recruited online by SPARK. We identified 60 genes with exome-wide significance ( P < 2.5 × 10 −6 ), five NAV3 , ITSN1 MARK2 SCAF1 HNRNPUL2 ). The association is primarily driven loss-of-function (LoF) variants, an estimated relative 4, consistent moderate effect. Autistic individuals LoF four...

10.1038/s41588-022-01148-2 article EN cc-by Nature Genetics 2022-08-18
Evan Bolyen Jai Ram Rideout Matthew R. Dillon Nicholas A. Bokulich Christian C. Abnet and 95 more Gabriel A. Al‐Ghalith Harriet Alexander Eric J. Alm Manimozhiyan Arumugam Francesco Asnicar Yang Bai Jordan E. Bisanz Kyle Bittinger Asker Brejnrod Colin Brislawn C. Titus Brown Benjamin J. Callahan Andrés Mauricio Caraballo‐Rodríguez John Chase Emily K. Cope Ricardo J.N. Bettencourt da Silva Pieter C. Dorrestein Gavin M. Douglas Daniel M. Durall Claire Duvallet Christian F. Edwardson Madeleine Ernst Mehrbod Estaki Jennifer Fouquier Julia M. Gauglitz Deanna L. Gibson Antonio González Kestrel Gorlick Jiarong Guo Benjamin Hillmann Susan Holmes Hannes Holste Curtis Huttenhower Gavin Huttley Stefan Janssen Alan K. Jarmusch Lingjing Jiang Benjamin D. Kaehler Kyo Bin Kang Christopher R. Keefe Paul Keim Scott T. Kelley Dan Knights Irina Koester Tomasz Kościółek Jorden Kreps Morgan G. I. Langille Joslynn S. Lee Ruth E. Ley Yongxin Liu Erikka Loftfield Catherine Lozupone Massoud Maher Clarisse Marotz Bryan D Martin Daniel McDonald Lauren J. McIver Alexey V. Melnik Jessica L. Metcalf Sydney Morgan Jamie Morton Ahmad Turan Naimey José A. Navas-Molina Louis‐Félix Nothias Stephanie B. Orchanian Talima Pearson Samuel L Peoples Daniel Petras Mary L. Preuss Elmar Pruesse Lasse Buur Rasmussen Adam R. Rivers Michael S. Robeson Patrick Rosenthal Nicola Segata Michael Shaffer Arron Shiffer Rashmi Sinha Se Jin Song John R. Spear Austin D. Swafford Luke Thompson Pedro J. Torres Pauline Trinh Anupriya Tripathi Peter J. Turnbaugh Sabah Ul-Hasan Justin J. J. van der Hooft Fernando Vargas Yoshiki Vázquez‐Baeza Emily Vogtmann Max von Hippel William A. Walters Yunhu Wan Mingxun Wang

We present QIIME 2, an open-source microbiome data science platform accessible to users spanning the research ecosystem, from scientists and engineers clinicians policy makers. 2 provides new features that will drive next generation of research. These include interactive spatial temporal analysis visualization tools, support for metabolomics shotgun metagenomics analysis, automated provenance tracking ensure reproducible, transparent science.

10.7287/peerj.preprints.27295 preprint EN 2018-10-24
Shubham Pant Martin Schüler Gopa Iyer Olaf Witt Toshihiko Doi and 95 more Shukui Qin Josep Tabernero David A. Reardon Christophe Massard Anna Minchom Iwona Ługowska Omar Carranza Dirk Arnold Martin Gutierrez Helen Winter Kim Stuyckens Lauren Crow Saltanat Najmi Constance Hammond Shibu Thomas Ademi Santiago-Walker Spyros Triantos Hussein Sweiti Yohann Loriot Omar Carranza Martin Alberto Greco Jermaine Coward Anthony M. Joshua Christos S. Karapetis Christopher D. Hart Alison Y. Zhang Hans Prenen Jean‐Charles Goeminne Jean‐Pascal Machiels Sylvie Rottey Marcelo Corassa Graziela Zibetti Dal Molin Katsuki Arima Tiscoski Denis L. Jardim Milena Perez Mak Wei Fu Herui Yao Jing Huang Haiping Jiang Shukui Qin Baoshi Chen Dong Yan Yu Mi Yang Yohann Loriot Christophe Le Tourneau Nicolas Penel Sébastien Salas Jean‐Yves Blay Pierre-Emmanuel Brachet Xavier Durando Sheik Emambux Alain Ravaud Gunnar Folprecht Dirk Arnold Martin Schüler Marit Ahrens Alexander Golf Georg Martin Haag Florian Lordick Alexander Desuki Marina Elena Cazzaniga Fortunato Ciardiello Michèle Milella Takafumi Koyama Yoshiki Hirooka Wataru Okamoto Kenjiro Aogi Yasutoshi Kuboki Jung-Yun Lee Sung‐Bae Kim Myung‐Ju Ahn Jong Hee Chang Yongman Kim Do‐Hyun Nam Jaesung Park Iwona Ługowska Luis Paz‐Ares Víctor Moreno Andrés Cervantes Mariona Calvo Alejandro Falcón Antonio González Josep Tabernero A. Martinez Bueno Javier García-Corbacho Federico Longo Chia‐Jui Yen Jen‐Shi Chen Ming‐Feng Hou Yee Chao Kun‐Ming Rau Tai‐Jan Chiu Yin‐Hsun Feng Chih‐Hung Hsu Wen‐Tsung Huang

10.1016/s1470-2045(23)00275-9 article EN publisher-specific-oa The Lancet Oncology 2023-08-01

Structural genetic alterations in cancer often involve gene loss or amplification. With the advent of microarray approaches for analysis genome, as exemplified by array–CGH ( C omparative G enomic H ybridization), scanning gene-dosage is limited only issues DNA density. However, samples interest to pathologist comprise small clusters just a few hundred cells, which do not provide sufficient analysis. We sought develop simple method that would permit amplification whole genome without use...

10.1101/gr.377203 article EN cc-by-nc Genome Research 2003-02-01

The specification of the hair and non-hair cells in Arabidopsis root epidermis provides a useful model for study cell fate determination plants. A network putative transcriptional regulators, including related bHLH proteins GLABRA3 (GL3) ENHANCER OF (EGL3), is known to influence patterning these types. Here, we analyze expression regulation GL3 EGL3 during development. Although they are thought act both types, surprisingly found that gene RNA accumulation occurs preferentially developing...

10.1242/dev.01565 article EN Development 2004-12-09

Abstract While it is generally accepted that T cells are critical for the development of diabetes in non‐obese diabetic (NOD) mouse, precise functions CD4 + and CD8 subsets remain ill‐defined. Transfer experiments have provided evidence disease initiators, provoking massive mononuclear leukocyte infiltration into pancreatic islets, while play an effector role, responsible final destruction islet beta cells. It was surprising, then, to find NOD mice carrying a null mutation at...

10.1002/eji.1830260815 article EN European Journal of Immunology 1996-08-01
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