Author

Megan Palacio

University of Colorado BoulderORCID 0000-0001-5149-1418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Biochemistry· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:chromatin & epigenetic regulation· 2 Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:transcription & RNA processing· 2 Research Focus:benchmarking· 1 Approach:biophysical modeling· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Dylan J. TaatjesiD· 2 shared Aaron J. ClausetiD· 1 shared Andrew J. KavraniD· 1 shared Axel Hartzog· 1 shared Christopher C. EbmeieriD· 1 shared Finn Brennan· 1 shared Grace S. Shelby· 1 shared Jenna K. Rimel· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 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 papersBiochemistry

Dylan J. TaatjesORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BiochemistryCell ReportsPeer-reviewedJun 25, 2025

Multi-omics and biochemical reconstitution reveal CDK7-dependent mechanisms controlling RNA polymerase II function at gene 5'- and 3'-ends

Olivia Luyties, Lynn Sanford, Jessica Rodino…·Dylan J. Taatjes

This study identifies CDK7-dependent mechanisms regulating RNAPII function at gene 5'- and 3'-ends through biochemical reconstitution and multi-omics analysis.

8 citations

humanChIP-seq

𝕏 PostBluesky

BiochemistrybioRxivPreprintJan 6, 2025

Real-time visualization of reconstituted transcription reveals RNA polymerase II activation mechanisms at single promoters

Megan Palacio, Dylan J. Taatjes

This study develops RIFT, a real-time in-vitro assay to visualize RNAPII transcription, revealing IDR-dependent activation mechanisms and condensate effects on transcription.

5 citations

proteomicsexperimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 12, 2021

Optimizing Polymerase Chain Reaction (PCR) using Machine Learning

Nicholas J. Cordaro, Andrew J. Kavran, Michael J. Smallegan…·Aaron J. Clauset

This study uses machine learning to improve PCR success rates, achieving 81% prediction accuracy and identifying 15 under-optimized features.

7 citations

machine learning (classical)benchmarking

𝕏 PostBluesky