Investigating the energy crisis in Alzheimer disease using transcriptome study
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[1] Bin Zhang,et al. Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility , 2018, Nature Genetics.
[2] Charlotte Soneson,et al. Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification , 2018, F1000Research.
[3] Charlotte Soneson,et al. Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification , 2018, F1000Research.
[4] E. Laplantine,et al. Role of Optineurin in the Mitochondrial Dysfunction: Potential Implications in Neurodegenerative Diseases and Cancer , 2018, Front. Immunol..
[5] Dipanjan Roy,et al. Integrative Analysis of Hippocampus Gene Expression Profiles Identifies Network Alterations in Aging and Alzheimer’s Disease , 2018, Front. Aging Neurosci..
[6] Shijie Zhang,et al. GWAS4D: multidimensional analysis of context-specific regulatory variant for human complex diseases and traits , 2018, Nucleic Acids Res..
[7] Jun Wang,et al. SNPnexus: assessing the functional relevance of genetic variation to facilitate the promise of precision medicine , 2018, Nucleic Acids Res..
[8] Berislav V. Zlokovic,et al. Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders , 2018, Nature Reviews Neurology.
[9] J. Landers,et al. Transcription factor Pebbled/RREB1 regulates injury-induced axon degeneration , 2018, Proceedings of the National Academy of Sciences.
[10] Hyojin Kim,et al. TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions , 2017, Nucleic Acids Res..
[11] H. Najafabadi,et al. Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease , 2017, Nature Communications.
[12] Shun Liu,et al. RMBase v2.0: deciphering the map of RNA modifications from epitranscriptome sequencing data , 2017, Nucleic Acids Res..
[13] S. Bandyopadhyay,et al. Biological networks in Parkinson’s disease: an insight into the epigenetic mechanisms associated with this disease , 2017, BMC Genomics.
[14] Ellis Patrick,et al. An xQTL map integrates the genetic architecture of the human brain’s transcriptome and epigenome , 2017, Nature Neuroscience.
[15] K. Hao,et al. A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease , 2017, Nature Neuroscience.
[16] C. Gaiteri,et al. Brain xQTL map: Integrating the genetic architecture of the human brain transcriptome and epigenome , 2017, bioRxiv.
[17] Ja-Eun Kim,et al. Mitochondrial CCAR2/DBC1 is required for cell survival against rotenone-induced mitochondrial stress. , 2017, Biochemical and biophysical research communications.
[18] Rob Patro,et al. Salmon provides fast and bias-aware quantification of transcript expression , 2017, Nature Methods.
[19] Sunil Kumar,et al. SNP2TFBS – a database of regulatory SNPs affecting predicted transcription factor binding site affinity , 2016, Nucleic Acids Res..
[20] K. Nagata,et al. Essential role of the nuclear isoform of RBFOX1, a candidate gene for autism spectrum disorders, in the brain development , 2016, Scientific Reports.
[21] V. Tiranti,et al. New genes and pathomechanisms in mitochondrial disorders unraveled by NGS technologies. , 2016, Biochimica et biophysica acta.
[22] Y. Mei,et al. Flotillin-1 downregulates K+ current by directly coupling with Kv2.1 subunit , 2016, Protein & Cell.
[23] M. Robinson,et al. Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences , 2015, F1000Research.
[24] M. Robinson,et al. Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences. , 2015, F1000Research.
[25] M. Faghihi,et al. Transcriptomics Profiling of Alzheimer’s Disease Reveal Neurovascular Defects, Altered Amyloid-β Homeostasis, and Deregulated Expression of Long Noncoding RNAs , 2015, Journal of Alzheimer's disease : JAD.
[26] M. Prince,et al. World Alzheimer Report 2015 - The Global Impact of Dementia: An analysis of prevalence, incidence, cost and trends , 2015 .
[27] O. Troyanskaya,et al. Predicting effects of noncoding variants with deep learning–based sequence model , 2015, Nature Methods.
[28] Daniel S. Himmelstein,et al. Understanding multicellular function and disease with human tissue-specific networks , 2015, Nature Genetics.
[29] A. Iriki,et al. Periostin, a neurite outgrowth‐promoting factor, is expressed at high levels in the primate cerebral cortex , 2015, Development, growth & differentiation.
[30] F. Carr. Neurodegeneration: Selective vulnerability , 2015, Nature Reviews Neuroscience.
[31] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[32] Guanming Wu,et al. ReactomeFIViz : a Cytoscape app for pathway and network-based data analysis , 2022 .
[33] Sergio Contrino,et al. InterMine: extensive web services for modern biology , 2014, Nucleic Acids Res..
[34] David A. Bennett,et al. REST and Stress Resistance in Aging and Alzheimer’s Disease , 2014, Nature.
[35] W. Min,et al. AIP1 Mediates Vascular Endothelial Cell Growth Factor Receptor-3–Dependent Angiogenic and Lymphangiogenic Responses , 2014, Arteriosclerosis, thrombosis, and vascular biology.
[36] Nick C Fox,et al. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease , 2013, Nature Genetics.
[37] A. Prat,et al. Glial influence on the Blood Brain Barrier , 2013, Glia.
[38] Andrea Ballabio,et al. Signals from the lysosome: a control centre for cellular clearance and energy metabolism , 2013, Nature Reviews Molecular Cell Biology.
[39] F. Polleux,et al. The CAMKK2-AMPK Kinase Pathway Mediates the Synaptotoxic Effects of Aβ Oligomers through Tau Phosphorylation , 2013, Neuron.
[40] M. Gill,et al. Development of Strategies for SNP Detection in RNA-Seq Data: Application to Lymphoblastoid Cell Lines and Evaluation Using 1000 Genomes Data , 2013, PloS one.
[41] Gabriëlle H S Buitendijk,et al. Seven New Loci Associated with Age-Related Macular Degeneration , 2013, Nature Genetics.
[42] Peng Jin,et al. Dynamics of DNA methylation in aging and Alzheimer's disease. , 2012, DNA and cell biology.
[43] Sergio Contrino,et al. InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data , 2012, Bioinform..
[44] Alin Ciobica,et al. Hippocampal neuronal loss in the CA1 and CA3 areas of Alzheimer's disease patients. , 2012, Psychiatria Danubina.
[45] Satya vani Guttula,et al. Analyzing Microarray Data of Alzheimer's Using Cluster Analysis to Identify the Biomarker Genes , 2012, International journal of Alzheimer's disease.
[46] Pierre J Magistretti,et al. Brain energy metabolism: focus on astrocyte-neuron metabolic cooperation. , 2011, Cell metabolism.
[47] Manolis Kellis,et al. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants , 2011, Nucleic Acids Res..
[48] L. Gu,et al. MDM2 Regulates Vascular Endothelial Growth Factor mRNA Stabilization in Hypoxia , 2011, Molecular and Cellular Biology.
[49] Marcel Martin. Cutadapt removes adapter sequences from high-throughput sequencing reads , 2011 .
[50] Laurent Duret,et al. Ftx is a non-coding RNA which affects Xist expression and chromatin structure within the X-inactivation center region. , 2011, Human molecular genetics.
[51] M. DePristo,et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. , 2010, Genome research.
[52] S. Brandner. Nanog, Gli, and p53: a new network of stemness in development and cancer , 2010, The EMBO journal.
[53] Ning Li,et al. The Transcription Factor Cux1 Regulates Dendritic Morphology of Cortical Pyramidal Neurons , 2010, PloS one.
[54] T. Harris,et al. The Conserved Mitochondrial Twin Cx9C Protein Cmc2 Is a Cmc1 Homologue Essential for Cytochrome c Oxidase Biogenesis* , 2010, The Journal of Biological Chemistry.
[55] C. Winters,et al. Differential NMDA receptor-dependent calcium loading and mitochondrial dysfunction in CA1 vs. CA3 hippocampal neurons , 2010, Neurobiology of Disease.
[56] Xinkun Wang,et al. Frontiers in Aging Neuroscience Aging Neuroscience Review Article , 2022 .
[57] K. Frazer,et al. Human genetic variation and its contribution to complex traits , 2009, Nature Reviews Genetics.
[58] Pornpimol Charoentong,et al. ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks , 2009, Bioinform..
[59] Xue-wen Chen,et al. Genome-wide transcriptome profiling of region-specific vulnerability to oxidative stress in the hippocampus. , 2007, Genomics.
[60] Ann Marie Craig,et al. NMDA Receptor Subunits Have Differential Roles in Mediating Excitotoxic Neuronal Death Both In Vitro and In Vivo , 2007, The Journal of Neuroscience.
[61] Eric A Newman,et al. Glial Cells Dilate and Constrict Blood Vessels: A Mechanism of Neurovascular Coupling , 2006, The Journal of Neuroscience.
[62] Xue-wen Chen,et al. High intrinsic oxidative stress may underlie selective vulnerability of the hippocampal CA1 region. , 2005, Brain research. Molecular brain research.
[63] Hui Zhang,et al. Involvement of Retinoblastoma Protein and HBP1 in Histone H10 Gene Expression , 2000, Molecular and Cellular Biology.
[64] S. Kish,et al. Ornithine Decarboxylase in Human Brain: Influence of Aging, Regional Distribution, and Alzheimer's Disease , 1998, Journal of neurochemistry.
[65] M. Aldrich,et al. Major Histocompatibility Class II Molecules in the CNS: Increased Microglial Expression at the Onset of Narcolepsy in a Canine Model , 1996, The Journal of Neuroscience.
[66] R. Hamill,et al. Glucocorticoid receptor mRNA in Alzheimer's diseased hippocampus , 1995, Brain Research.
[67] J. Nobrega,et al. Brain Cytochrome Oxidase in Alzheimer's Disease , 1992, Journal of neurochemistry.
[68] G. Acquaah-Mensah,et al. A regulatory role for the insulin- and BDNF-linked RORA in the hippocampus: implications for Alzheimer's disease. , 2015, Journal of Alzheimer's disease : JAD.
[69] Thomas R. Gingeras,et al. STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..
[70] Xiongwei Zhu,et al. Abnormal mitochondrial dynamics and neurodegenerative diseases. , 2010, Biochimica et biophysica acta.
[71] J. Coyle,et al. Oxidative stress in neurodegenerative diseases. , 1996, Annual review of pharmacology and toxicology.