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Darren A. Cusanovich
Researcher at University of Arizona
Publications - 39
Citations - 5678
Darren A. Cusanovich is an academic researcher from University of Arizona. The author has contributed to research in topics: Chromatin & Gene. The author has an hindex of 19, co-authored 31 publications receiving 4011 citations. Previous affiliations of Darren A. Cusanovich include University of Washington & University of Chicago.
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Comprehensive single-cell transcriptional profiling of a multicellular organism
Junyue Cao,Jonathan S. Packer,Vijay Ramani,Darren A. Cusanovich,Chau Huynh,Ray A. M. Daza,Xiaojie Qiu,Choli Lee,Scott N. Furlan,Scott N. Furlan,Scott N. Furlan,Frank J. Steemers,Andrew Adey,Andrew Adey,Robert H. Waterston,Cole Trapnell,Jay Shendure,Jay Shendure +17 more
TL;DR: The authors profiled almost 50,000 single cells from an individual Caenorhabditis elegans larval stage and were able to identify and recover information from different, even rare, cell types and develop combinatorial indexing strategies to profile the transcriptomes of single cells or nuclei.
Journal ArticleDOI
Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.
Darren A. Cusanovich,Riza M. Daza,Andrew Adey,Hannah A. Pliner,Lena Christiansen,Kevin L. Gunderson,Frank J. Steemers,Cole Trapnell,Jay Shendure +8 more
TL;DR: Combinatorial cellular indexing, a strategy for multiplex barcoding of thousands of single cells per experiment, was successfully used to investigate the genome-wide chromatin accessibility landscape in each of over 15,000 single cells, avoiding the need for compartmentalization of individual cells.
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Joint profiling of chromatin accessibility and gene expression in thousands of single cells
Junyue Cao,Darren A. Cusanovich,Vijay Ramani,Delasa Aghamirzaie,Hannah A. Pliner,Andrew J. Hill,Riza M. Daza,José L. McFaline-Figueroa,Jonathan S. Packer,Lena Christiansen,Frank J. Steemers,Andrew Adey,Andrew Adey,Cole Trapnell,Jay Shendure +14 more
TL;DR: By applying sci-CAR to lung adenocarcinoma cells and mouse kidney tissue, the authors demonstrate precision in assessing expression and genome accessibility at a genome-wide scale and provide an improvement over bulk analysis, which can be confounded by differing cellular subgroups.
Journal ArticleDOI
A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility
Darren A. Cusanovich,Andrew J. Hill,Delasa Aghamirzaie,Riza M. Daza,Hannah A. Pliner,Joel B. Berletch,Galina N. Filippova,Xingfan Huang,Lena Christiansen,William S DeWitt,Choli Lee,Samuel G. Regalado,David F. Read,Frank J. Steemers,Christine M. Disteche,Cole Trapnell,Jay Shendure,Jay Shendure +17 more
TL;DR: By intersecting mouse chromatin accessibility with human genome-wide association summary statistics, this work identifies cell-type-specific enrichments of the heritability signal for hundreds of complex traits.
Journal ArticleDOI
Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data.
Hannah A. Pliner,Jonathan S. Packer,José L. McFaline-Figueroa,Darren A. Cusanovich,Riza M. Daza,Delasa Aghamirzaie,Sanjay Srivatsan,Xiaojie Qiu,Dana Jackson,Anna Minkina,Andrew Adey,Frank J. Steemers,Jay Shendure,Jay Shendure,Cole Trapnell +14 more
TL;DR: Cicero is introduced, an algorithm that identifies co-accessible pairs of DNA elements using single-cell chromatin accessibility data and so connects regulatory elements to their putative target genes and is applied to investigate how dynamically accessible elements orchestrate gene regulation in differentiating myoblasts.