Author

Roberto Ortega

Icahn School of Medicine at Mount Sinai

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

Rachel J. Saunders-PullmaniD· 2 shared Adina H. WiseiD· 1 shared Alexander Chung· 1 shared Aloysius DomingoiD· 1 shared Amanda AllaniD· 1 shared Angela M. CrawleyiD· 1 shared Anuradha SurendraiD· 1 shared Benjamin Muller· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Rachel J. Saunders-PullmanORCID

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2 papers

Recent·Most cited

Integrated Stress Response Signatures Drive Monocyte Dysfunction in GBA1- and LRRK2-Linked Parkinson's Disease

Daniele Mattei, Erica Brophy, Mikaela Rosén, Oriol Narcis Majos, Aloysius Domingo, Elena Meijia, Claudia De Sanctis, Beomjin Jang, Tarek Khashan, Mengxi Yang, Deborah Raymond, Casey Young, Jack Humphrey, Elisa Navarro, Amanda Allan, , Towfique Raj

The paper identifies integrated stress response (ISR) signatures and proteostasis defects in monocytes from GBA1- and LRRK2-linked Parkinson's disease, linking them to immune dysfunction.

medRxiv · Oct 8, 2025 · PreprintGenetic & Genomic Medicine

BATL: Bayesian annotations for targeted lipidomics

Justin G. Chitpin, Anuradha Surendra, Thao Nguyen-Tran, Graeme P. Taylor, Hongbin Xu, Irina Alecu, Roberto Ortega, Julianna J. Tomlinson, Angela M. Crawley, Michaeline McGuinty, Michael G. Schlossmacher, Rachel J. Saunders-Pullman, Miroslava Čuperlović‐Culf, Steffany A. L. Bennett, Theodore J. Perkins

BATL is a Bayesian classifier for targeted lipidomics that annotates LC-ESI-MS/MS peaks with high accuracy using eight features, achieving over 95% correct identification in SRM datasets.

Bioinformatics · Dec 21, 2021Peer-reviewedBioinformatics