about
Stress-induced lipocalin-2 controls dendritic spine formation and neuronal activity in the amygdala.TNiK is required for postsynaptic and nuclear signaling pathways and cognitive functionIdentification of Vulnerable Cell Types in Major Brain Disorders Using Single Cell Transcriptomes and Expression Weighted Cell Type Enrichment.A genomic lifespan program that reorganises the young adult brain is targeted in schizophrenia.Proteomic analysis of postsynaptic proteins in regions of the human neocortex.Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals.Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomicsGenetic identification of brain cell types underlying schizophreniaDiversity of Interneurons in the Dorsal Striatum Revealed by Single-Cell RNA Sequencing and PatchSeqArchitecture of the Mouse Brain SynaptomeMeta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathwaysAuthor Correction: Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease riskProbabilistic cell typing enables fine mapping of closely related cell types in situGenome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathwaysGenome-wide analysis identifies molecular systems and 149 genetic loci associated with incomeGenetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson's diseaseConditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders
P50
Q34674514-39987C31-36CE-43DC-B889-773E77259C60Q37690413-76A81FAF-C7E2-4770-8D2A-D76C9B0B2301Q40012023-EC91FFAA-EF90-45E6-AF6B-5FDB741B6FCBQ41221537-1EFAA17F-B828-466C-852A-0AB52EB81AAEQ47331830-EDD5447E-5E7C-4782-BA12-4C1868CA769DQ50420271-4C567AA0-C74A-448C-AAD6-2F3FF0F20DF9Q57381497-DAA4BBE7-8690-4981-A707-9F2FF228F9D3Q58462175-1A646FE9-7E2F-4934-9DF7-ED52AF465078Q58705456-7791CAAD-E0E5-42AD-9075-711F3A841308Q58719055-FDB0C128-089E-4868-8940-33E9FF8EBD59Q89243403-90B3584E-DACB-4102-87FC-79CF5661B785Q89583879-96EDFC7F-B987-4B63-8328-0014D6FF8EA2Q91330127-6ADC3820-BB06-48E8-9434-950AE81AEC55Q91908180-FE7A1516-3643-40B0-9962-66518D82E372Q92024341-12CF2F20-2EAD-4189-95AD-220F38A44E0AQ93270767-971CEAB5-FF41-47D5-937D-918407EAA9DFQ94599936-B4E962CC-3F2E-4BD7-907C-CC80E8323E92
P50
description
investigador
@es
researcher
@en
name
Nathan Skene
@en
type
label
Nathan Skene
@en
prefLabel
Nathan Skene
@en
P31
P496
0000-0002-6807-3180