Author

Alessandra Soares Schanoski

Icahn School of Medicine at Mount SinaiORCID 0000-0002-6514-8458Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Aalim M. WeljieiD· 1 shared Adriana MeloiD· 1 shared Ai Wen TaniD· 1 shared Alessandro L. Gonçalves· 1 shared Alexandra Lehmkuhl GerberiD· 1 shared Alexandra P. TurneriD· 1 shared Amílcar TanuriiD· 1 shared Ana Tereza Ribeiro de VasconcelosiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperSystems Biology

Aalim M. WeljieORCID

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2 papers

Recent·Most cited

Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis

Hu Meng, Arjun Sengupta, Emanuela Ricciotti, Antonijo Mrčela, Divij Mathew, Liudmila L. Mazaleuskaya, Soumita Ghosh, Thomas G. Brooks, Alexandra P. Turner, Alessandra Soares Schanoski, Nicholas F. Lahens, Ai Wen Tan, Ashley G. Woolfork, Gregory R. Grant, Katalin Suszták, , Garret A. FitzGerald

The paper identifies lipidomic biomarkers and therapeutic targets in sepsis patients, including those with COVID-19, and develops an interactive network analysis tool for multiomic data exploration.

bioRxiv · Jun 2, 2023 · PreprintSystems Biology

The potential role of collagens in congenital Zika syndrome: A systems biology approach

Renato Santana Aguiar, Fabio Baldivia Pohl, Guilherme Loss de Morais, Fábio César Sousa Nogueira, Joseane Biso de Carvalho, Letícia da Cunha Guida, Luis WP Arge, Adriana Melo, Maria EL Moreira, Daniela Prado Cunha, Leonardo Henrique Ferreira Gomes, Elyzabeth Avvad Portari, Erika Velásquez, Rafael Donadelli Melani, Paula Pezzuto, , Helder Imoto Nakaya

This study integrates transcriptomic, proteomic, and genomic data from CZS neonates to identify collagen gene reductions and associated polymorphisms, linking them to neuronal migration defects and CZS susceptibility.

bioRxiv · Feb 5, 2019 · PreprintSystems Biology