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. Author manuscript; available in PMC: 2022 Oct 6.
Published in final edited form as: Neuron. 2021 Sep 27;109(19):3088–3103.e5. doi: 10.1016/j.neuron.2021.09.001

KEY RESOURCES TABLE.

(Tran, Maynard, et al. 2021 submission)

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies
Mouse monoclonal anti-NeuN (clone A60), Alexa Fluor 488-conjugated MilliporeSigma #MAB377X
Biological samples
Human postmortem brain tissue (NAc, AMY, sACC, DLPFC, HPC) Lieber Institute for Brain Development; see Tables S1 and S2 N/A
Chemicals, peptides, and recombinant proteins
Recombinant RNasin ribonuclease inhibitor Promega N2515
4’,6-diamidino-2-phenylindole, dihydrochloride (DAPI) Invitrogen D1306
Propidium iodide solution (PI), 1mg/mL Invitrogen P3566
Bovine serum albumin (BSA) VWR 102643-516
10% neutral buffered formalin Sigma-Aldrich HT501128
Critical commercial assays
Nuclei EZ Prep (lysis buffer) Sigma-Aldrich NUC101-1KT
Chromium Single Cell 3’ GEM, Library & Gel Bead Kit, v3 10x Genomics PN-1000075
Chromium Single Cell B Chip Kit 10x Genomics PN-1000073
RNAscope Multiplex Fluorescent Kit, v2 ACD 323100
RNAscope 4-Plex Ancillary Kit ACD 323120
Deposited data
Raw sequencing read data (FASTQ) for all n=24 samples reported in this paper This paper https://research.libd.org/globus/jhpce_tran2021/index.html
Processed data as ‘SingleCellExperiment’ R objects, for each region (NAc, AMY, sACC, DLPFC, HPC) This paper Linked from: https://github.com/LieberInstitute/10xPilot_snRNAseq-human#readme
Summary statistics from various Psychiatric Genomics Consortium GWAS (Various author lists) https://www.med.unc.edu/pgc/download-results/
Summary statistics for substance use phenotypes GWAS Liu, et al. 2019 https://genome.psych.umn.edu/index.php/GSCAN
Software and algorithms
Cell Ranger, v3.0 10x Genomics https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/3.0/installation
R, v4.0.4 R Core Team https://www.r-project.org/
Orchestrating single-cell analysis with Bioconductor (v3.12 methods/R packages) Amezquita, et al. 2019 https://doi.org/10.1038/s41592-019-0654-x
MAGMA, v1.08 De Leeuw, et al. 2015 https://ctg.cncr.nl/software/magma
Other
Code for analyses in the present study This paper https://doi.org/10.5281/zenodo.5149046