J
Jeremy A. Miller
Researcher at Allen Institute for Brain Science
Publications - 4
Citations - 1969
Jeremy A. Miller is an academic researcher from Allen Institute for Brain Science. The author has contributed to research in topics: Cell type & Neocortex. The author has an hindex of 4, co-authored 4 publications receiving 1077 citations.
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Journal ArticleDOI
Shared and distinct transcriptomic cell types across neocortical areas
Bosiljka Tasic,Zizhen Yao,Lucas T. Graybuck,Kimberly A. Smith,Thuc Nghi Nguyen,Darren Bertagnolli,Jeff Goldy,Emma Garren,Michael N. Economo,Sarada Viswanathan,Osnat Penn,Trygve E. Bakken,Vilas Menon,Vilas Menon,Jeremy A. Miller,Olivia Fong,Karla E. Hirokawa,Kanan Lathia,Christine Rimorin,Michael Tieu,Rachael Larsen,Tamara Casper,Eliza Barkan,Matthew Kroll,Sheana Parry,Nadiya V. Shapovalova,Daniel Hirschstein,Julie Pendergraft,Heather A. Sullivan,Tae Kyung Kim,Aaron Szafer,Nick Dee,Peter A. Groblewski,Ian R. Wickersham,Ali Cetin,Julie A. Harris,Boaz P. Levi,Susan M. Sunkin,Linda Madisen,Tanya L. Daigle,Loren L. Looger,Amy Bernard,John W. Phillips,Ed S. Lein,Michael Hawrylycz,Karel Svoboda,Allan R. Jones,Christof Koch,Hongkui Zeng +48 more
TL;DR: 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.
Posted ContentDOI
Shared and distinct transcriptomic cell types across neocortical areas
Bosiljka Tasic,Zizhen Yao,Kimberly A. Smith,Lucas T. Graybuck,Thuc Nghi Nguyen,Darren Bertagnolli,Jeff Goldy,Emma Garren,Michael N. Economo,Sarada Viswanathan,Osnat Penn,Trygve E. Bakken,Vilas Menon,Jeremy A. Miller,Olivia Fong,Karla E. Hirokawa,Kanan Lathia,Christine Rimorin,Michael Tieu,Rachael Larsen,Tamara Casper,Eliza Barkan,Matthew Kroll,Seana Parry,Nadiya V. Shapovalova,Daniel Hirschstein,Julie Pendergraft,Tae Kyung Kim,Aaron Szafer,Nick Dee,Peter A. Groblewski,Ian R. Wickersham,Ali Cetin,Julie A. Harris,Boaz P. Levi,Susan M. Sunkin,Linda Madisen,Tanya L. Daigle,Loren L. Looger,Amy Bernard,John W. Phillips,Ed S. Lein,Michael Hawrylycz,Karel Svoboda,Allan R. Jones,Christof Koch,Hongkui Zeng +46 more
TL;DR: A combined transcriptomic and projectional taxonomy of cortical cell types from functionally distinct regions of the mouse cortex is established and correspondence between excitatory transcriptomic types and their region-specific long-range target specificity is demonstrated.
Journal ArticleDOI
Single-nucleus and single-cell transcriptomes compared in matched cortical cell types.
Trygve E. Bakken,Rebecca D. Hodge,Jeremy A. Miller,Zizhen Yao,Thuc Nghi Nguyen,Brian D. Aevermann,Eliza Barkan,Darren Bertagnolli,Tamara Casper,Nick Dee,Emma Garren,Jeff Goldy,Lucas T. Graybuck,Matthew Kroll,Roger S. Lasken,Kanan Lathia,Sheana Parry,Christine Rimorin,Richard H. Scheuermann,Nicholas J. Schork,Soraya I. Shehata,Michael Tieu,John W. Phillips,Amy Bernard,Kimberly A. Smith,Hongkui Zeng,Ed Lein,Bosiljka Tasic +27 more
TL;DR: It is demonstrated that closely related neuronal cell types can be similarly discriminated with both methods if intronic sequences are included in snRNA-seq analysis, and the high information content of nuclear RNA for characterization of cellular diversity in brain tissues is illustrated.
Posted ContentDOI
Equivalent high-resolution identification of neuronal cell types with single-nucleus and single-cell RNA-sequencing
Trygve E. Bakken,Rebecca D. Hodge,Jeremy A. Miller,Zizhen Yao,Thuc Nghi Nguyen,Brian D. Aevermann,Eliza Barkan,Darren Bertagnolli,Tamara Casper,Nick Dee,Emma Garren,Jeff Goldy,Lucas T. Graybuck,Matthew Kroll,Roger S. Lasken,Kanan Lathia,Sheana Parry,Christine Rimorin,Richard H. Scheuermann,Nicholas J. Schork,Soraya I. Shehata,Michael Tieu,Kimberly A. Smith,Hongkui Zeng,Ed Lein,Bosiljka Tasic +25 more
TL;DR: It is demonstrated that similarly high-resolution clustering of closely related neuronal types can be achieved with both methods if intronic sequences are included in nuclear RNA-seq analysis, illustrating the high information content of nuclear RNA for characterization of cellular diversity in brain tissues.