DroNc-Seq: Deciphering cell types in human archived brain tissues by massively-parallel single nucleus RNA-seq
Open accessPreprint — published as 10.1038/nmeth.4407 · Paper page
Abstract
Single nucleus RNA-Seq (sNuc-Seq) profiles RNA from tissues that are preserved or cannot be dissociated, but does not provide the throughput required to analyse many cells from complex tissues. Here, we develop DroNc-Seq, massively parallel sNuc-Seq with droplet technology. We profile 29,543 nuclei from mouse and human archived brain samples to demonstrate sensitive, efficient and unbiased classification of cell types, paving the way for charting systematic cell atlases.
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Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
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- Authors
- Habib, N., Basu, A., Avraham-Davidi, I., Burks, T., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., Weitz, D. A., Rozenblatt-Rosen, O., Zhang, F., & Regev, A.
- Affiliations
- Broad Institute (US)
- Harvard University (US)
- Corresponding author
- Zhang, Feng
- Regev, Aviv
- ORCID
- Venue
- Nature Methods
- Publisher
- openRxiv
- Published
- 2017-03-09
- Volume
- 14
- Issue
- 10
- Pages
- 955-958
- ISSN
- 1548-7091 (ISSN-L)
- PMC
- PMC5623139
- OpenAlex
- W2747841296
- Cited by
- 1,069
- References
- 1
- Citations by year
- 2026: 87 · 2025: 92 · 2024: 118 · 2023: 131 · 2022: 140 · 2021: 161 · 2020: 139 · 2019: 104 · 2018: 81 · 2017: 13 · 2015: 1
- FWCI
- 37.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature Methods (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Science Foundation (1310266, P30-CA14051, 1541959, 1420570)
- Howard Hughes Medical Institute (P30-CA14051)
- Helen Hay Whitney Foundation
- Harvard University (DMR-1420570, 1541959)
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology (P30-CA14051)
- National Institutes of Health (HHSN268201000029C, DMR-1420570)
- Klarman Cell Observatory, Broad Institute
- National Heart, Lung, and Blood Institute (HHSN268201000029C, P01HL120839)
- National Institute of Mental Health (DP1MH100706, R01MH110049, U01MH105960)
- National Cancer Institute (CA14051, R33CA202820, P30CA014051)
- National Institute of Allergy and Infectious Diseases (U24AI118672)
- Division of Materials Research (DMR 14–20570, DMR-1310266, 1420570, 1310266)
- Common Fund
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Engineering › Biomedical Engineering › Innovative Microfluidic and Catalytic Techniques Innovation
- Keywords
- single-nucleus RNA sequencing, droplet-based sequencing, next-generation sequencing, postmortem brain, cell type classification, cell atlas, mouse brain, human brain
- MeSH terms
- Animals, Humans, RNA, Transcription, Genetic, Biomarkers, 3T3 Cells, Sequence Analysis, RNA, Principal Component Analysis, Mice, HEK293 Cells, Single-Cell Analysis
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