Author

Sueli Mieko Oba‐Shinjo

Universidade de São PauloORCID 0000-0002-1650-5973Unclaimed 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:bulk RNA-seq· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Suely Kazue Nagahashi MarieiD· 3 shared Leonardo Vinícius Monteiro de AssisiD· 2 shared Maurı́cio S. BaptistaiD· 2 shared Antonio Di IevaiD· 1 shared Felipe Gustavo RavagnaniiD· 1 shared Giuseppe PalmisanoiD· 1 shared Janaina M. Silva· 1 shared Lívia Rosa-FernandesiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersCell Biology

Suely Kazue Nagahashi MarieORCID

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3 papers

Recent·Most cited

Transcriptomic and functional profiling reveal autophagy inhibition and persistent bioenergetic collapse following parallel photodamage to lysosomes and mitochondria

Márcia Silvana Freire Franco, Felipe Gustavo Ravagnani, Suely Kazue Nagahashi Marie, Sueli Mieko Oba‐Shinjo, Leonardo Vinícius Monteiro de Assis, Maurício S. Baptista

This study shows that DMMB-induced photodamage causes transcriptomic changes similar to autophagy inhibition and persistent mitochondrial dysfunction.

Journal of Photochemistry and Photobiology B Biology · Jan 8, 2026Peer-reviewedCell Biology

Stage-specific phenotypic and transcriptional alterations in keratinocytes exposed to acute and chronic blue light

Paulo Newton Tonolli, Suely Kazue Nagahashi Marie, Sueli Mieko Oba‐Shinjo, Leonardo Vinícius Monteiro de Assis, Maurı́cio S. Baptista

This study examines how acute and chronic blue light exposure affects human keratinocytes, finding increased proliferation, chromatin changes, and transcriptional shifts resembling malignant transformation.

Photochemistry and Photobiology · Apr 7, 2025Peer-reviewedCell Biology

Identification of astrocytomas through serum protein fingerprint using MALDI-TOF MS and machine learning

Lucas Cardoso Lázari, Janaina M. Silva, Priscila Robertina dos Santos-Donado, Sueli Mieko Oba‐Shinjo, Lívia Rosa-Fernandes, Antonio Di Ieva, Suely Kazue Nagahashi Marie, Giuseppe Palmisano

This study uses MALDI-TOF MS and machine learning to identify serum biomarkers for astrocytoma diagnosis, achieving 94.5% accuracy in distinguishing GBM from healthy controls.

bioRxiv · Feb 21, 2025 · PreprintSystems Biology