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TAF2, within the TFIID complex, regulates the expression of a subset of protein-coding genes

Cell Death Discovery 2024年第1期10卷 244页

作者： Cheng, I-Hsin Pi, Wen-Chieh Hsu, Chung-Hao Guo, Yiran Lai, Jun-Lin Wang, Gang G. Chung, Bon-Chu Roeder, Robert G. Chen, Wei-Yi Institute of Biochemistry and Molecular Biology National Yang Ming Chiao Tung University Taipei Taiwan School of Medicine College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Department of Pharmacology and Cancer Biology Duke University School of Medicine Durham 27710 NC United States Duke Cancer Institute Durham 27710 NC United States Program in Molecular Medicine National Yang Ming Chiao Tung University and Academia Sinica Taipei Taiwan Insitute of Molecular Biology Academia Sinica Taipei Taiwan Graduate Institute of Biomedical Sciences Neuroscience and Brain Disease Center China Medical University Taichung Taiwan National Laboratory Animal Center National Applied Research Laboratories Taipei Taiwan Laboratory of Biochemistry and Molecular Biology The Rockefeller University New York 10065 NY United States Cancer and Immunology Research Center National Yang Ming Chiao Tung University Taipei Taiwan

TFIID, one of the general transcription factor (GTF), regulates transcriptional initiation of protein-coding genes through direct binding to promoter elements and subsequent recruitment of other GTFs and RNA polymerase II. Although generally required for most protein-coding genes, accumulated studies have also demonstrated promoter-specific functions for several TFIID subunits in gene activation. Here, we report that TBP-associated factor 2 (TAF2) specifically regulates TFIID binding to a small subset of protein-coding genes and is essential for cell growth of multiple cancer lines. Co-immunoprecipitation assays revealed that TAF2 may be sub-stoichiometrically associated with the TFIID complex, thus indicating a minor fraction of TAF2-containing TFIID in cells. Consistently, integrated genome-wide profiles show that TAF2 binds to and regulates only a small subset of protein-coding genes. Furthermore, through the use of an inducible TAF2 degradation system, our results reveal a reduction of TBP/TFIID binding to several ribosomal genes upon selective ablation of TAF2. In addition, depletion of TAF2, as well as the TAF2-regulated ribosomal protein genes RPL30 and RPL39, decreases ribosome assembly and global protein translation. Collectively, this study suggests that TAF2 within the TFIID complex is of functional importance for TBP/TFIID binding to and expression of a small subset of protein-coding genes, thus establishing a previously unappreciated promoter-selective function for TAF2. © The Author(s) 2024.

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Abstracts from the 20th International Symposium on Signal Transduction at the Blood-brain Barriers Abstracts

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FLUIDS AND BARRIERS OF THE CNS 2017年第SUPPL 2期14卷 27-27页

作者： [Anonymous] The Jerzy Kukuczka Academy of Physical Education Katowice Poland The Institute of Animal Physiology and Food Research Polish Academy of Sciences Olsztyn Poland University of Miami Miami FL USA Institute of Pharmaceutical Science King’s College London London United Kingdom Department of Ophthalmology and Molecular and Integrative Physiology The University of Michigan Ann Arbor MI USA Department of Internal Medicine and Cardiology The University of Michigan Ann Arbor MI USA School of Medicine Department of Cellular and Molecular Medicine Koc University Istanbul Turkey Department of Cellular and Molecular Medicine Medical Faculty Koc University Istanbul Turkey Department of Neuroscience School of Medicine Koc University Istanbul Turkey Department of Neuroscience Medical Faculty Koc University Istanbul Turkey Department of Laboratory Animals Science Aziz Sancar Experimental Medicine Research Institute Istanbul University Istanbul Turkey Department of Neuroscience Aziz Sancar Experimental Medicine Research Institute Istanbul University Istanbul Turkey School of Medicine Koc University Istanbul Turkey Department of Forensic Science Istanbul Faculty of Medicine Istanbul University Istanbul Turkey Department of Histology and Embryology School of Medicine Koc University Istanbul Turkey Department of Histology and Embryology Istanbul Faculty of Medicine Istanbul University Istanbul Turkey Department of Physiology School of Medicine Koc University Istanbul Turkey Theodor Kocher Institute University of Bern Bern Switzerland Institute of Veterinary Physiology Vetsuisse Faculty University of Zurich Zurich Switzerland Zurich Center for Integrative Human Physiology University of Zurich Zurich Switzerland Zurich Center of Integrative Human Physiology University of Zurich Zurich Switzerland Institute for Veterinary Physiology and Zurich Center for Integrative Human Physiology University of Zurich Zurich Switzerland Institute of Veterinary Physiology Univer

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Peripheral inflammatory biomarkers and risk factors of dementia in the Chilean GERO cohort

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Alzheimer's & Dementia 2020年第S5期16卷

作者： Paulina Orellana Claudia Duran-Aniotz Pablo Baez Rodrigo Gomez Patricia Lillo Roque Villagra Daniela Thumala Carolina Toledo Victoria Cabello Fernando Henriquez Teresa Parrao Christian Gonzalez Andrea Slachevsky Geroscience Center for Brain Health and Metabolism (GERO) Santiago Chile Center for Social and Cognitive Neuroscience (CSCN) School of Psychology Universidad Adolfo Ibáñez Santiago Chile Biomedical Neuroscience Institute Faculty of Medicine University of Chile Santiago Chile Center of Medical Informatics and Telemedicine Faculty of Medicine University of Chile Santiago Chile Memory and Neuropsychiatric Clinic (CMYN) Neurology Department Hospital del Salvador and Faculty of Medicine University of Chile Santiago Chile Geroscience Center for Brain Health and Metabolism (GERO) Faculty of Medicine University of Chile Santiago Chile Unidad de Neurología Hospital San José Santiago Chile Departamento de Neurociencia Facultad de Medicina Universidad de Chile Santiago Chile Laboratory of Neuropsychology and Clinical Neuroscience (LANNEC) Physiopathology Program-ICBM East Neurologic and Neurosciences Departments Faculty of Medicine University of Chile Santiago Chile East Neuroscience Departments Faculty of Medicine University of Chile Santiago Chile University of Chile Santiago Chile Memory and Neuropsychiatric Clinic (CMYN) Neurology Service Hospital del Salvador and Faculty of Medicine University of Chile Santiago Chile Neuropsychology and Clinical Neuroscience Laboratory (LANNEC) Physiopathology Department - ICBM Neuroscience and East Neuroscience Departments Faculty of Medicine University of Chile Santiago Chile Universidad Alberto Hurtado Santiago Chile The Buck Institute for Research on Aging Novato CA USA Laboratory of Cell and Neuronal Dynamics Faculty of Sciences University of Chile Santiago Chile Physiopathology Department ICBM y East Neuroscience Department Faculty of Medicine University of Chile Providencia Santiago Chile

Background Dementia is one of the mean causes of disability in elderly. Peripheral inflammatory biomarkers and ApoE-ε4 allele have been described as important biological risk factors of dementia in Caucasian population. Currently, there is scarce information about the specific age-related and predisposition factors to develop dementia in Latino populations. The aim of this study is to investigate these biological risks factors in Chilean elderly with healthy and pathological brain ageing. Method We evaluated and quantified plasma samples obtained from the GERO cohort (114 elderly subjects, >70 years, classified in 51 subjects with subjective cognitive complaint (SCC) and 63 with mild cognitive impairment (MCI)), in addition to 36 healthy brain controls (HBC) and 31 subjects with Alzheimer’s disease dementia (ADD). Genotyping of ApoE gene was analyzed by qPCR. We analyzed inflammatory biomarkers using Luminex technique including IL-2, IL-6, IL-10, TNF-α, CRP and SAP proteins. All subjects receive a clinical and neuropsychological assessment. Result CRP protein was found significant decrease expression in SCC and ADD groups compared to MCI and HBC (p=0.048). In SAP protein was found a significant decrease in expression in the SSC (p=0.04) and MCI (p=0.0178) groups compared to HBC. It was observed a positive correlation in the SCC, MCI and ADD groups with the IL-6 and TNFα, and, SAP and CRP. A negative correlation between IL-2, IL-6 and IL-10 cytokines was found with Direct Span Digit test, which assess attentional capacity. Also was identified a negative correlation between SAP protein and the Free and Cued Selective Reminding Test (FCSRT), which assess verbal episodic memory, and IL-10 cytokine and Montreal Cognitive Assessment (MoCA), which assess global cognition. Finally, a positive correlation was found in CRP protein with Pfeffer Functional Activity Questionnaire. Frequency of the ApoE-ε4 allele, was significantly higher in ADD (52%) and SCC (27%) patients than

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Erratum

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Alzheimer's & dementia : the journal of the Alzheimer's Association 2021年第5期17卷 906-907页

作者： Vincent C T Mok Sarah Pendlebury Adrian Wong Suvarna Alladi Lisa Au Philip M Bath Geert Jan Biessels Christopher Chen Charlotte Cordonnier Martin Dichgans Jacqueline Dominguez Philip B Gorelick SangYun Kim Timothy Kwok Steven M Greenberg Jianping Jia Rajesh Kalaria Miia Kivipelto Kandiah Naegandran Linda C W Lam Bonnie Yin Ka Lam Allen T C Lee Hugh S Markus John O'Brien Ming-Chyi Pai Leonardo Pantoni Perminder Sachdev Vorapun Senanarong Ingmar Skoog Eric E Smith Velandai Srikanth Guk-Hee Suh Joanna Wardlaw Ho Ko Sandra E Black Philip Scheltens Department of Medicine and Therapeutics Prince of Wales Hospital Faculty of Medicine The Chinese University of Hong Kong Shatin New Territories Hong Kong SAR China. Gerald Choa Neuroscience Centre Margaret K.L. Cheung Research Centre for Management of Parkinsonism Therese Pei Fong Chow Research Centre for Prevention of Dementia Lui Che Woo Institute of Innovative Medicine The Chinese University of Hong Kong Shatin Hong Kong SAR China. Li Ka Shing Institute of Health Sciences School of Biomedical Sciences Faculty of Medicine The Chinese University of Hong Kong Hong Kong SAR China. NIHR Oxford Biomedical Research Centre The Joint Research Office Oxford United Kingdom. Departments of Acute General Medicine and Geratology John Radcliffe Hospital Oxford UK. Centre for Prevention of Stroke and Dementia Nuffield Department of Clinical Neurosciences University of Oxford Oxford UK. Department of Neurology National Institute of Mental Health and Neuro Sciences Bengaluru India. Stroke Trials Unit Division of Clinical Neuroscience School of Medicine The University of Nottingham Nottingham UK. Department of Neurology UMC Utrecht Brain Center University Medical Center Utrecht Utrecht the Netherlands. Memory Aging and Cognition Centre Department of Pharmacology Yong Loo Lin School of Medicine National University of Singapore Singapore. Univ. Lille Inserm CHU Lille U1172 - LilNCog - Lille Neuroscience & Cognition Lille France. Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Munich Germany. German Center for Neurodegenerative Diseases (DZNE Munich) Munich Germany. Munich Cluster for Systems Neurology (SyNergy) Munich Germany. Memory Center International Institute for Neurosciences St. Luke's Medical Center Manila Philippines. The Ken & Ruth Davee Department of Neurology Northwestern University Feinberg School of Medicine Chicago Illinois USA. Division of Cerebrovascular Disease and Neurocritical Care Northwestern University Feinber

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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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Deficiency of DJ-1 delays monocyte infiltration and repair of injured brain

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IBRO Reports 2019年 6卷 S127-S127页

作者： Eun-Hye Joe Dong-Joo Choi Jiawei An Keon Ah Lee Byung Gon Kim Ilo Jou Sang Myun Park Neuroscience Graduate Program Department of Biomedical Sciences Ajou University School of Medicine Suwon Republic of Korea Department of Pharmacology Ajou University School of Medicine Suwon Republic of Korea Chronic Inflammatory Disease Research Center Ajou University School of Medicine Suwon Republic of Korea Department of Brain Science Department of Neurology Ajou University School of Medicine Suwon Republic of Korea Department of Brain Science Ajou University School of Medicine Suwon Republic of Korea Department of Neurology Ajou University School of Medicine Suwon Republic of Korea

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Author Correction: The interrelation of sleep and mental and physical health is anchored in grey-matter neuroanatomy and under genetic control

Communications biology

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Communications biology 2020年第1期3卷 290页

作者： Masoud Tahmasian Fateme Samea Habibolah Khazaie Mojtaba Zarei Shahrzad Kharabian Masouleh Felix Hoffstaedter Julia Camilleri Peter Kochunov B T Thomas Yeo Simon Bodo Eickhoff Sofie Louise Valk Institute of Medical Science and Technology Shahid Beheshti University Tehran Iran. Sleep Disorders Research Center Kermanshah University of Medical Sciences Kermanshah Iran. Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich Germany. Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf Germany. Maryland Psychiatric Research Center University of Maryland School of Medicine Baltimore MD 21201 USA. Department of Electrical and Computer Engineering Clinical Imaging Research Centre N.1 Institute for Health and Memory Networks Program National University of Singapore Singapore 119077 Singapore. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA 02114 USA. Centre for Sleep and Cognition National University of Singapore Singapore 119077 Singapore. NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119077 Singapore. Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich Germany. svalk@fz-juelich.de. Institute of Systems Neuroscience Heinrich Heine University Düsseldorf 40225 Düsseldorf Germany. svalk@fz-juelich.de.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2023年第6期20卷 824-835页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

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Author Correction: Neurocognitive correlates of semantic memory navigation in Parkinson's disease

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NPJ Parkinson's disease 2024年第1期10卷 30页

作者： Felipe Diego Toro-Hernández Joaquín Migeot Nicolás Marchant Daniela Olivares Franco Ferrante Raúl González-Gómez Cecilia González Campo Sol Fittipaldi Gonzalo M Rojas-Costa Sebastian Moguilner Andrea Slachevsky Pedro Chaná Cuevas Agustín Ibáñez Sergio Chaigneau Adolfo M García Graduate Program in Neuroscience and Cognition Federal University of ABC São Paulo Brazil. Center for Social and Cognitive Neuroscience School of Psychology Universidad Adolfo Ibáñez Santiago Chile. Latin American Brain Health Institute Universidad Adolfo Ibáñez Santiago Chile. Laboratorio de Neuropsicología y Neurociencias Clínicas Universidad de Chile Santiago Chile. Cognitive Neuroscience Center Universidad de San Andrés Buenos Aires Argentina. National Scientific and Technical Research Council Buenos Aires Argentina. Facultad de Ingeniería Universidad de Buenos Aires Buenos Aires Argentina. Global Brain Health Institute University of California San Francisco California USA & Trinity College Dublin Ireland. Department of Radiology Clínica las Condes Santiago Chile. Advanced Epilepsy Center Clínica las Condes Santiago Chile. Join Unit FISABIO-CIPF Valencia Spain. School of Medicine Finis Terrae University Santiago Chile. Health Innovation Center Clínica Las Condes Santiago Chile. Memory and Neuropsychiatric Center (CMYN) Neurology Department Hospital del Salvador & Faculty of Medicine University of Chile Santiago Chile. Geroscience Center for Brain Health and Metabolism (GERO) Santiago Chile. Neuropsychology and Clinical Neuroscience Laboratory (LANNEC) Physiopatology Program - Institute of Biomedical Sciences (ICBM) Neuroscience and East Neuroscience Departments Faculty of Medicine University of Chile Santiago Chile. Neurology and Psychiatry Department Clínica Alemana-Universidad Desarrollo Santiago Chile. Facultad de Ciencias Médicas Universidad de Santiago de Chile Santiago Chile. Center for Cognition Research School of Psychology Universidad Adolfo Ibáñez Santiago Chile. Latin American Brain Health Institute Universidad Adolfo Ibáñez Santiago Chile. adolfo.garcia@***. Cognitive Neuroscience Center Universidad de San Andrés Buenos Aires Argentina. adolfo.garcia@***. & Trinity College Dublin Ireland. adolfo.garcia@gbhi.org. Departamento d

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Selective Reduction of brain Docosahexaenoic Acid after Experimental brain Injury and Mitigation of Neuroinflammatory Outcomes with Dietary DHA

Current Research: Concussion

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Current Research: Concussion 2017年第1期04卷 e38-e54页

作者： Christopher M. Butt Jordan L. Harrison Rachel K. Rowe Jacob Jones Kelly M. Wynalda Norman Salem Jr. Jonathan Lifshitz James R. Pauly Translational Biology DSM Nutritional Products Boulder Colorado Interdisciplinary Graduate Program in Neuroscience Arizona State University Tempe Arizona Department of Child Health University of Arizona College of Medicine-Phoenix Phoenix Arizona Barrow Neurological Institute at Phoenix Children's Hospital Phoenix Arizona Phoenix VA Healthcare System Phoenix Arizona Department of Pharmaceutical Sciences Spinal Cord and Brain Injury Research Center University of Kentucky College of Pharmacy Lexington Kentucky Nutritional Lipids DSM Nutritional Products Columbia Maryland

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