Author

M. Austin Argentieri

Broad InstituteORCID 0000-0003-0242-853XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Andrea GannaiD· 2 shared Chiara CaimeiD· 2 shared Daniela FuscoiD· 2 shared Essi ViippolaiD· 2 shared FinnGeniD· 2 shared Tatiana CajusoiD· 2 shared Tomoko NakanishiiD· 2 shared Zhijian YangiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Andrea GannaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 21, 2026

Sex-related signatures in the plasma proteome not attributable to XX and XY chromosomes and their impact on health and disease

Essi Viippola, Tuomo Hartonen, Meihui Zhu…·Andrea Ganna

The paper introduces the Proteomic Sex Index (PSI), a continuous measure of plasma proteome alignment with chromosomal sex, showing its association with health and disease traits.

DOI 10.64898/2026.10.19.26365875

humanproteomics

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintOct 14, 2025

Removing genetic effects on plasma proteins enhances their utility as disease biomarkers

Daniela Fusco, Zhijian Yang, Essi Viippola…·Andrea Ganna

The paper removes genetic effects from plasma proteins to enhance their utility as disease biomarkers, showing improved associations with diseases and environmental factors.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintApr 8, 2024

Plasma-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems

Ludger J.E. Goeminne, Alec Eames, Alexander Tyshkovskiy…·Vadim N. Gladyshev

The paper uses machine learning on plasma proteome data to develop organ-specific and conventional aging models, showing that age-related diseases reflect accelerated aging of specific organs and systems.

10 citations

humanproteomics

𝕏 PostBluesky