Author

Martina Rossi

National Institutes of Health

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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Molecular Biology· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Carlos AnerillasiD· 2 shared Chang‐Yi CuiiD· 2 shared Dimitrios TsitsipatisiD· 2 shared Jen‐Hao YangiD· 2 shared Jennifer L. MartindaleiD· 2 shared Jinshui FaniD· 2 shared Kotb AbdelmohseniD· 2 shared Krystyna Mazan-MamczarziD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMolecular Biology

Carlos AnerillasORCID

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2 papers

Recent·Most cited

Reduced LANCL1-AS1 in old human skeletal muscle diminishes mitochondrial activity, shortens mt-mRNA poly(A) tails, and suppresses myogenesis

Jen‐Hao Yang, Elizabeth K. Izydore, Krystyna Mazan-Mamczarz, Dimitrios Tsitsipatis, Julie A. Mattison, Brigette Romero, Changyou Shi, Xiaoling Yang, Rachel B. Munk, Jennifer L. Martindale, Carlos Anerillas, Martín Salamini-Montemurri, Martina Rossi, Yulan Piao, Jinshui Fan, , Myriam Gorospe

The paper identifies LANCL1-AS1 as a lncRNA that declines with age in human skeletal muscle, reduces mitochondrial activity, and impairs myogenesis by shortening mt-mRNA poly(A) tails.

bioRxiv · Jul 6, 2026 · PreprintMolecular Biology

SenCat: Cataloging human cell senescence through multiomic profiling of multiple senescent primary cell types

Carlos Anerillas, Gisela Altés, Katarína Grešová, Dimitrios Tsitsipatis, Krystyna Mazan-Mamczarz, Reema Banarjee, Ana S.G. Cunningham, Martín Salamini-Montemurri, Jen‐Hao Yang, Rachel B. Munk, Martina Rossi, Yulan Piao, Bradley Olinger, Quinn Strassheim, Jennifer L. Martindale, , Myriam Gorospe

SenCat catalogs senescence markers across 14 human cell types using transcriptomic and proteomic profiling, revealing shared metabolic pathways and enabling machine learning-based identification of senescent cells.

Molecular Cell · Jun 11, 2026Peer-reviewedMolecular Biology