Author

Fernanda Grande Kugeratski

The University of Texas MD Anderson Cancer CenterORCID 0000-0001-9731-1275Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Raghu KalluriiD· 2 shared Bingrui LiiD· 1 shared Bo Fan· 1 shared Christoph KahlertiD· 1 shared Elena V. Ramirez· 1 shared Florian GebaueriD· 1 shared Jacob T. RobinsoniD· 1 shared Kaira A. ChurchiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioengineering

Raghu KalluriORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintSep 21, 2025

Oncogenic KRAS regulates secretion of extracellular vesicles and surface membrane charge via regulation of phosphatidylserine in pancreatic cancer

Kshipra S. Kapoor, Xin Luo, Kaira A. Church…·Raghu Kalluri

This study develops a microfluidic device to enrich pancreatic cancer-derived extracellular vesicles based on charge, linking KRAS status to EV secretion and surface charge.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticseLifePeer-reviewedOct 3, 2023

A novel machine learning algorithm selects proteome signature to specifically identify cancer exosomes

Bingrui Li, Fernanda Grande Kugeratski, Raghu Kalluri

This paper develops a machine learning method to identify cancer exosomes using a proteomic signature, achieving high accuracy across multiple biological fluids.

42 citationstop 5%

humanproteomics

𝕏 PostBluesky