Author

Markella Loi

University of LiverpoolORCID 0009-0002-8313-1825Unclaimed 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

Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Edward EmmottiD· 2 shared Leandro Xavier NevesiD· 2 shared ShuXian ZhouiD· 2 shared Charlotte Chim· 1 shared Frazer J. T. BuchananiD· 1 shared Jessica CoomberiD· 1 shared Marie HeldiD· 1 shared Maximilian ErdmanniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 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 papersMicrobiology

Edward EmmottORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MicrobiologyVirusesPeer-reviewedMay 4, 2026

Efficient plasmid-based rescue of T7 RNA polymerase-driven calicivirus reverse genetics systems in mammalian cells using vaccinia virus RNA capping enzymes

Frazer J. T. Buchanan, Markella Loi, Charlotte Chim…·Edward Emmott

This paper introduces a plasmid-based system using vaccinia virus capping enzymes to enhance calicivirus reverse genetics in mammalian cells, significantly increasing viral titres and polyprotein abundance.

DOI 10.3390/v18050536

mouseexperimental assay

𝕏 PostBluesky

Systems BiologybioRxivPreprintDec 2, 2025

Single-cell phenotypic analysis and multiplet detection through incorporation of microscopy data into cellenONE-based single-cell proteomic data analysis

Markella Loi, Stephen Holmes, Shuxian Zhou…·Edward Emmott

This paper introduces scpImaging, a computational pipeline that uses microscopy data to detect multiplets and improve quality control in single-cell proteomics.

DOI 10.64898/2025.12.01.691577

proteomicsmachine learning (classical)

𝕏 PostBluesky