Author

Giovanni A. Carosso

Johns Hopkins UniversityORCID 0000-0002-9142-8525Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genomics· 1 Neuroscience· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Research Focus:cell type annotation· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Briana L. WineriD· 2 shared Hans Tomas BjornssoniD· 2 shared Jonathan J. AugustiniD· 2 shared Kasper D. HanseniD· 2 shared Loyal A. GoffiD· 2 shared Alexandra Collin de l’HortetiD· 1 shared Daniel James HartiD· 1 shared Gabrielle Heather CannoniD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenomics

Briana L. WinerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Discovery of hypercompact epigenetic modulators for persistent CRISPR-mediated gene activation

Giovanni A. Carosso, Robin W. Yeo, T. Blair Gainous, Muhammad Zaki Jawaid, Yang Xiao, James Y.S. Kim, Kavita Jadhav, Nina Juan-Sing, Siddaraju V. Boregowda, Vincent Cutillas, Lei S. Qi, Alexandra Collin de l’Hortet, Timothy Daley, Daniel James Hart

The paper identifies compact CRISPR-based activators with durable gene activation, improving upon existing tools in potency and persistence.

bioRxiv · Jun 2, 2023 · PreprintSynthetic Biology

Universal prediction of cell cycle position using transfer learning

Shijie Zheng, Genevieve Stein-O’Brien, Jonathan J. Augustin, Jared Slosberg, Giovanni A. Carosso, Briana L. Winer, Gloria Shin, Hans Tomas Bjornsson, Loyal A. Goff, Kasper D. Hansen

The paper introduces tricycle, a method to predict cell cycle position from single-cell RNA-seq data using transfer learning, showing it generalizes across datasets and species.

Genome biology · Jan 31, 2022Peer-reviewedGenomics

Precocious neuronal differentiation and disrupted oxygen responses in Kabuki syndrome

Giovanni A. Carosso, Leandros Boukas, Jonathan J. Augustin, Ha Nam Nguyen, Briana L. Winer, Gabrielle Heather Cannon, Johanna D. Robertson, Li Zhang, Kasper D. Hansen, Loyal A. Goff, Hans Tomas Bjornsson

This study investigates the effects of KMT2D loss in brain cell development, finding precocious neuronal differentiation and disrupted oxygen responses in Kabuki syndrome models.

JCI Insight · Aug 29, 2019Peer-reviewedNeuroscience