Work

Single-nucleus transcriptome analysis reveals cell-type-specific molecular signatures across reward circuitry in the human brain

Year: 2021

Type: article

Source: Neuron

DOI: 10.1016/j.neuron.2021.09.001

Authors: Matthew N. Tran, Kristen R. Maynard, Abby Spangler, Louise A. Huuki, Kelsey D. Montgomery, Vijay Sadashivaiah, Madhavi Tippani, Brianna K. Barry, Dana B. Hancock, Stephanie C. Hicks, Joel E. Kleinman, Thomas M. Hyde, Leonardo Collado-Torres, Andrew E. Jaffe, Keri Martinowich

Institutions: Johns Hopkins University, Johns Hopkins Medicine, Johns Hopkins Hospital, Lieber Institute for Brain Development, RTI International

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Lieber Institute for Brain Development, National Institute of Mental Health, National Institute on Drug Abuse, National Human Genome Research Institute

Awards: Statistical Methods for the Normalization and Quantification of Single-Cell RNA-Sequencing Data, Integrating Epigenomics in Human Brain and Genomics of Nicotine Dependence, G4617886255, Integrative cellular deconvolution of human brain RNA sequencing data

OpenAlex ID: W3203631316

FWCI: 11.21

Cites: 116

Cited by: 219

Related to: 10