Skene, Nathan G.

Molecular Architecture of the Mouse Nervous System

Zeisel, A., Hochgerner, H., Lönnerberg, P., Johnsson, A., Memic, F., van der Zwan, J., Häring, M., Braun, E., Borm, L. E., La Manno, G., et al. (2018) · Cell

Single-cell and spatial transcriptomicsNeurogenesis and neuroplasticity mechanisms

Cited by 2,552

Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk

Jansen, I. E., Savage, J. E., Watanabe, K., Bryois, J., Williams, D. M., Steinberg, S., Sealock, J., Karlsson, I. K., Hägg, S., Athanasiu, L., et al. (2019) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 2,277

Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., de Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 1,267

Genome-wide Analysis of Insomnia (N=1,331,010) Identifies Novel Loci and Functional Pathways

Jansen, P. R., Watanabe, K., Stringer, S., Skene, N., Bryois, J., Hammerschlag, A. R., de Leeuw, C. A., Benjamins, J., Muñoz-Manchado, A. B., Nagel, M., et al. (2018) · Nature Genetics

Sleep and related disordersGenetic Associations and Epidemiology

Cited by 860

Genetic identification of brain cell types underlying schizophrenia

Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Skene, N. G., Bryois, J., Bakken, T. E., Breen, G., Crowley, J. J., Gaspar, H. A., Giusti-Rodriguez, P., Hodge, R. D., Miller, J. A., et al. (2018) · Nature Genetics

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 651

Single-Nucleus RNA-Seq Is Not Suitable for Detection of Microglial Activation Genes in Humans

Thrupp, N., Sala Frigerio, C., Wolfs, L., Skene, N. G., Fattorelli, N., Poovathingal, S., Fourne, Y., Matthews, P. M., Theys, T., Mancuso, R., et al. (2020) · Cell Reports

Single-cell and spatial transcriptomicsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 329

Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics

Harris, K. D., Hochgerner, H., Skene, N. G., Magno, L., Katona, L., Bengtsson Gonzales, C., Somogyi, P., Kessaris, N., Linnarsson, S., & Hjerling-Leffler, J. (2018) · PLoS Biology

Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research

Cited by 276

Diversity of Interneurons in the Dorsal Striatum Revealed by Single-Cell RNA Sequencing and PatchSeq

Muñoz-Manchado, A. B., Bengtsson Gonzales, C., Zeisel, A., Munguba, H., Bekkouche, B., Skene, N. G., Lönnerberg, P., Ryge, J., Harris, K. D., Linnarsson, S., et al. (2018) · Cell Reports

Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research

Cited by 229

Altered perivascular fibroblast activity precedes ALS disease onset

Månberg, A., Skene, N., Sanders, F., Trusohamn, M., Remnestål, J., Szczepińska, A., Aksoylu, I. S., Lönnerberg, P., Ebarasi, L., Wouters, S., et al. (2021) · Nature Medicine

Amyotrophic Lateral Sclerosis ResearchMultiple Sclerosis Research Studies

Cited by 120

Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals

Coleman, J. R. I., Bryois, J., Gaspar, H. A., Jansen, P. R., Savage, J. E., Skene, N., Plomin, R., Muñoz-Manchado, A. B., Linnarsson, S., Crawford, G., et al. (2019) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 66

Artificial intelligence for dementia genetics and omics

Bettencourt, C., Skene, N., Bandres‐Ciga, S., Anderson, E., Winchester, L. M., Foote, I. F., Schwartzentruber, J., Botia, J. A., Nalls, M., Singleton, A., et al. (2023) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 30

Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular states

Murphy, A. E., Askarova, A., Lenhard, B., Skene, N. G., & Marzi, S. J. (2025) · Nucleic Acids Research

Genomics and Chromatin DynamicsEpigenetics and DNA Methylation

Cited by 10