Author

Matthew A. Cattle

New York UniversityORCID 0000-0003-0809-1245Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

A. Geoffrey LyleiD· 1 shared Charles M. RiceiD· 1 shared David H. HaussleriD· 1 shared Drew ThompsoniD· 1 shared Du Linh LamiD· 1 shared Ellen Towle KephartiD· 1 shared Holly C. BealeiD· 1 shared Isabel Bjork· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 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

1 shared paperGenomics

A. Geoffrey LyleORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

An enhanced Eco1 retron editor enables precision genome engineering in human cells without double-strand breaks

Matthew A. Cattle, Lauren C Aguado, Samantha Sze, Sanjana Venkittu, Yueyang Wang, Thales Y. Papagiannakopoulos, Susan Harless Smith, Charles M. Rice, William M. Schneider, John Thomas Poirier

This paper enhances the Eco1 retron editor for precise genome editing in human cells by improving ncRNA stability and reducing sgRNA extension, achieving editing without double-strand breaks.

Nucleic Acids Research · Jul 14, 2025Peer-reviewedMolecular Biology

The case for using Mapped Exonic Non-Duplicate (MEND) read counts in RNA-Seq experiments: examples from pediatric cancer datasets

Holly C. Beale, Jacquelyn M. Roger, Matthew A. Cattle, Liam T. McKay, Drew Thompson, Katrina Learned, A. Geoffrey Lyle, Ellen Towle Kephart, Rob Currie, Du Linh Lam, Lauren Sanders, Jacob Pfeil, John Vivian, Isabel Bjork, Sofie R. Salama, , Olena M. Vaske

The paper evaluates the informativeness of reads in bulk RNA-Seq datasets and recommends using MEND reads for accurate gene expression quantification in pediatric cancer studies.

GigaScience · Mar 1, 2021Peer-reviewedGenomics