Author

Teresina Laragione

Icahn School of Medicine at Mount SinaiORCID 0009-0004-4492-1052Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Pércío S. GulkoiD· 3 shared Aurélien PélissieriD· 2 shared María Rodríguez MartíneziD· 2 shared Brinkley A. MorseiD· 1 shared Carolyn L. Harris· 1 shared Christine BeetoniD· 1 shared Frank T. HorriganiD· 1 shared Joseph M. HyseriD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Pércío S. GulkoORCID

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3 papers

Recent·Most cited

Cell BiologybioRxivPreprintOct 14, 2026

The L-type voltage-gated Ca2+ channel CaV1.2 regulates fibroblast-like synoviocytes invasiveness during rheumatoid arthritis

Mark R. Tanner, R. Nicholas Elston, Madilyn J Brandt…·Christine Beeton

This study identifies CaV1.2 as a Ca2+ influx channel that interacts with KCa1.1 to regulate invasiveness of RA-FLS through Ca2+ homeostasis.

DOI 10.64898/2026.10.12.758622

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BioinformaticsbioRxivPreprintDec 28, 2023

Gene Network Analyses Identify Co-regulated Transcription Factors and BACH1 as a Key Driver in Rheumatoid Arthritis Fibroblast-like Synoviocytes

Aurélien Pélissier, Teresina Laragione, Carolyn L. Harris…·Pércío S. Gulko

The paper identifies co-regulated transcription factors and BACH1 as a key driver in RA FLS using gene network analyses and experimental validation.

3 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintDec 28, 2023

Cell-Specific Gene Networks and Drivers in RheumatoidArthritis Synovial Tissues

Aurélien Pélissier, Teresina Laragione, Pércío S. Gulko, María Rodríguez Martínez

The paper identifies cell-specific gene regulators and networks in RA synovial tissues using RNA-seq data and computational methods, revealing key transcription factors and pathways involved in disease.

1 citation

humanbulk RNA-seq

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