An anatomically comprehensive atlas of the adult human brain transcriptome
- M. Hawrylycz, E. Lein, Allan R. Jones
- BiologyNature
- 20 September 2012
A transcriptional atlas of the adult human brain is described, comprising extensive histological analysis and comprehensive microarray profiling of ∼900 neuroanatomically precise subdivisions in two individuals, to form a high-resolution transcriptional baseline for neurogenetic studies of normal and abnormal human brain function.
Shared and distinct transcriptomic cell types across neocortical areas
- Bosiljka Tasic, Zizhen Yao, Hongkui Zeng
- BiologybioRxiv
- 6 December 2017
This study establishes a combined transcriptomic and projectional taxonomy of cortical cell types from functionally distinct areas of the adult mouse cortex and identifies 133 transcriptomic types of glutamatergic neurons to their long-range projection specificity.
Transcriptional Landscape of the Prenatal Human Brain
- Jeremy A. Miller, S. Ding, E. Lein
- BiologyNature
- 2 April 2014
An anatomically comprehensive atlas of the mid-gestational human brain is described, including de novo reference atlases, in situ hybridization, ultra-high-resolution magnetic resonance imaging (MRI) and microarray analysis on highly discrete laser-microdissected brain regions.
Conserved cell types with divergent features in human versus mouse cortex
- R. Hodge, Trygve E Bakken, E. Lein
- BiologyNature
- 21 August 2019
RNA-sequencing analysis of cells in the human cortex enabled identification of diverse cell types, revealing well-conserved architecture and homologous cell types as well as extensive differences when compared with datasets covering the analogous region of the mouse brain.
Canonical Genetic Signatures of the Adult Human Brain
- M. Hawrylycz, Jeremy A. Miller, E. Lein
- BiologyNature Neuroscience
- 30 October 2015
Genes in neuron-associated compared to non-neuronal networks showed higher preservation between human and mouse; however, many diversely patterned genes displayed marked shifts in regulation between species.
Undersampling bias: the null hypothesis for singleton species in tropical arthropod surveys.
- J. Coddington, I. Agnarsson, Jeremy A. Miller, M. Kuntner, G. Hormiga
- Environmental ScienceJournal of Animal Ecology
- 1 May 2009
The lognormal distribution deserves greater consideration as a richness estimator when undersampling bias is severe, and should be the default null hypothesis for singleton frequencies.
Divergence of human and mouse brain transcriptome highlights Alzheimer disease pathways
- Jeremy A. Miller, S. Horvath, D. Geschwind
- BiologyProceedings of the National Academy of Sciences
- 25 June 2010
It is found that global network properties of the brain transcriptome are highly preserved between species, and all modules of highly coexpressed genes identified in mouse were identified in human, with those related to conserved cellular functions showing the strongest between-species preservation.
Coexpression Networks Implicate Human Midfetal Deep Cortical Projection Neurons in the Pathogenesis of Autism
- A. Willsey, Stephan J Sanders, M. State
- BiologyCell
- 21 November 2013
Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis
- I. Holtman, Divya Raj, B. Eggen
- BiologyActa Neuropathologica Communications
- 23 May 2015
Microglia priming induces a highly conserved transcriptional signature with aging- and disease-specific aspects that prominently differed from the acute inflammatory gene network induced by lipopolysaccharide (LPS).
A Systems Level Analysis of Transcriptional Changes in Alzheimer's Disease and Normal Aging
- Jeremy A. Miller, M. Oldham, D. Geschwind
- BiologyJournal of Neuroscience
- 6 February 2008
The transcriptional network in AD was characterized, identifying 12 distinct modules related to synaptic and metabolic processes, immune response, and white matter, nine of which were related to disease progression, and presenilin 1 (PSEN1) is highly coexpressed with canonical myelin proteins, suggesting a role for PSEN1 in aspects of glial-neuronal interactions related to neurodegenerative processes.
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