Glia Open Access Database (GOAD): A comprehensive gene expression encyclopedia of glia cells in health and disease
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Glia Open Access Database (GOAD): A comprehensive gene expression encyclopedia of glia cells in health and disease
Authors
Keywords
-
Journal
GLIA
Volume 63, Issue 9, Pages 1495-1506
Publisher
Wiley
Online
2015-03-25
DOI
10.1002/glia.22810
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Glioma-Associated Microglia/Macrophages Display an Expression Profile Different from M1 and M2 Polarization and Highly Express Gpnmb and Spp1
- (2015) Frank Szulzewsky et al. PLoS One
- Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment
- (2014) Yonit Lavin et al. CELL
- An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex
- (2014) Y. Zhang et al. JOURNAL OF NEUROSCIENCE
- The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
- (2014) Charles Wang et al. NATURE BIOTECHNOLOGY
- Isolation of glia from Alzheimer's mice reveals inflammation and dysfunction
- (2014) Marie Orre et al. NEUROBIOLOGY OF AGING
- Priming of microglia in a DNA-repair deficient model of accelerated aging
- (2014) Divya D.A. Raj et al. NEUROBIOLOGY OF AGING
- ArrayExpress update—simplifying data submissions
- (2014) Nikolay Kolesnikov et al. NUCLEIC ACIDS RESEARCH
- Comparison of RNA-Seq and Microarray in Transcriptome Profiling of Activated T Cells
- (2014) Shanrong Zhao et al. PLoS One
- 454 pyrosequencing-based analysis of gene expression profiles in the amphipod Melita plumulosa: Transcriptome assembly and toxicant induced changes
- (2013) Sharon E. Hook et al. AQUATIC TOXICOLOGY
- Transcriptomics in the RNA-seq era
- (2013) Paul A McGettigan CURRENT OPINION IN CHEMICAL BIOLOGY
- Beyond the transcriptome: completion of act one of the Immunological Genome Project
- (2013) Charles C Kim et al. CURRENT OPINION IN IMMUNOLOGY
- Unique transcriptome signature of mouse microglia
- (2013) Clara Beutner et al. GLIA
- The evolving epigenome
- (2013) D. Weichenhan et al. HUMAN MOLECULAR GENETICS
- Identification of a unique TGF-β–dependent molecular and functional signature in microglia
- (2013) Oleg Butovsky et al. NATURE NEUROSCIENCE
- The microglial sensome revealed by direct RNA sequencing
- (2013) Suzanne E Hickman et al. NATURE NEUROSCIENCE
- Acute isolation and transcriptome characterization of cortical astrocytes and microglia from young and aged mice
- (2013) Marie Orre et al. NEUROBIOLOGY OF AGING
- WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013
- (2013) Jing Wang et al. NUCLEIC ACIDS RESEARCH
- A Neurodegeneration-Specific Gene-Expression Signature of Acutely Isolated Microglia from an Amyotrophic Lateral Sclerosis Mouse Model
- (2013) Isaac M. Chiu et al. Cell Reports
- Transcriptome analysis of amoeboid and ramified microglia isolated from the corpus callosum of rat brain
- (2012) Rangarajan Parakalan et al. BMC NEUROSCIENCE
- Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages
- (2012) Emmanuel L Gautier et al. NATURE IMMUNOLOGY
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
- (2012) Cole Trapnell et al. Nature Protocols
- InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation
- (2012) Karin Breuer et al. NUCLEIC ACIDS RESEARCH
- Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system
- (2012) Susan M. Sunkin et al. NUCLEIC ACIDS RESEARCH
- Strategies for aggregating gene expression data: The collapseRows R function
- (2011) Jeremy A Miller et al. BMC BIOINFORMATICS
- Identification of a microglia phenotype supportive of remyelination
- (2011) Marta Olah et al. GLIA
- Spatio-temporal transcriptome of the human brain
- (2011) Hyo Jung Kang et al. NATURE
- A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
- (2011) Lee T. Sam et al. PLoS One
- RNA in pieces
- (2011) Alex C. Tuck et al. TRENDS IN GENETICS
- Fast and SNP-tolerant detection of complex variants and splicing in short reads
- (2010) T. D. Wu et al. BIOINFORMATICS
- In Vivo Fate Mapping and Expression Analysis Reveals Molecular Hallmarks of Prospectively Isolated Adult Neural Stem Cells
- (2010) Ruth Beckervordersandforth et al. Cell Stem Cell
- Statistical Design and Analysis of RNA Sequencing Data
- (2010) P. L. Auer et al. GENETICS
- Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
- (2010) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Tackling the widespread and critical impact of batch effects in high-throughput data
- (2010) Jeffrey T. Leek et al. NATURE REVIEWS GENETICS
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
- (2009) Da Wei Huang et al. Nature Protocols
- Gene Expression Atlas at the European Bioinformatics Institute
- (2009) Misha Kapushesky et al. NUCLEIC ACIDS RESEARCH
- Application of a Translational Profiling Approach for the Comparative Analysis of CNS Cell Types
- (2008) Joseph P. Doyle et al. CELL
- A Transcriptome Database for Astrocytes, Neurons, and Oligodendrocytes: A New Resource for Understanding Brain Development and Function
- (2008) J. D. Cahoy et al. JOURNAL OF NEUROSCIENCE
- STRING 8--a global view on proteins and their functional interactions in 630 organisms
- (2008) L. J. Jensen et al. NUCLEIC ACIDS RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started