Author

Sarah A. Munro

University of MinnesotaORCID 0000-0003-0492-2339Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Ariel Hecht· 1 shared Hugues SicotteiD· 1 shared James J. FillibeniD· 1 shared Kari G. RabeiD· 1 shared Marc SalitiD· 1 shared Rick J. JanseniD· 1 shared Samuel O. AntwiiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperSynthetic Biology

Ariel Hecht

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintMay 5, 2025

Variation in bulk RNA-seq and estimated cell type proportion using deconvolution when comparing pancreatic cancer samples within the same individual

Rick J. Jansen, Sarah A. Munro, Samuel O. Antwi…·Hugues Sicotte

The paper compares bulk RNA-seq and deconvolution results from paired pancreatic cancer samples in the same patients, finding variability in cell type proportions but no significant gene expression differences.

DOI 10.1101/2025.05.05.25326976

humanbulk RNA-seq

𝕏 PostBluesky

Synthetic BiologyCommunications BiologyPeer-reviewedNov 30, 2018

Reproducing bench-scale cell growth and productivity

Ariel Hecht, James J. Filliben, Sarah A. Munro, Marc Salit

The paper identifies key experimental factors affecting growth and productivity of engineered E. coli strains and proposes a Minimum Information Standard for Engineered Organism Experiments.

23 citations

E. coliexperimental assay

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