Author

Gomathi Jayaraman

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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Systems Biology· 2 Bioengineering· 1 Genomics· 1 Neuroscience· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 6 Assay:bulk RNA-seq· 5 Approach:statistical model· 5 Approach:experimental assay· 3 Organism:human· 3 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Ravi IyengariD· 6 shared Jens HanseniD· 4 shared Mustafa M. SiddiqiD· 3 shared Rosa E. TolentinoiD· 3 shared Arjun Singh YadawiD· 2 shared Bin HuiD· 2 shared Carlos A. ToroiD· 2 shared Christopher P. CardozoiD· 2 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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6 shared papersSystems Biology

Ravi IyengarORCID

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6 papers

Recent·Most cited

An Implantable Poly(pro-curcumin) Film for Local, Long-Lasting Neuroprotection After Spinal Cord Injury

Carlos A. Toro, Nicholas P. Johnson, Zaara Suhail, Ruiwen Chen, John T. Leman, Nikita Waskiewicz, Shahrukh Khalique, Granit Oroshi, Gomathi Jayaraman, Alexey Kozlenkov, Ravi Iyengar, Ryan J. Gilbert, Christopher P. Cardozo, Edmund F. Palermo, Mustafa M. Siddiq

This paper introduces an implantable poly(pro-curcumin) film that provides long-lasting neuroprotection after spinal cord injury by locally delivering curcumin, improving locomotor recovery and reducing inflammation.

bioRxiv · Aug 18, 2026 · PreprintBioengineering

Multiscale mapping of transcriptomic signatures for cardiotoxic drugs

Jens Hansen, Yuguang Xiong, Mustafa M. Siddiq, Priyanka Dhanan, Bin Hu, Bhavana Shewale, Arjun Singh Yadaw, Gomathi Jayaraman, Rosa E. Tolentino, Yibang Chen, Pedro Martinez, Kristin G. Beaumont, Robert Sebra, Dušica Vidović, Stephan C. Schürer, , Ravi Iyengar

The paper identifies cardiotoxic drug signatures using bulk transcriptomics and integrates them with genomic and single-cell data to predict toxicity mechanisms.

Nature Communications · Sep 11, 2024Peer-reviewedSystems Biology

Spinal Cord Injury regulates circular RNA expression in axons

Mustafa M. Siddiq, Carlos A. Toro, Nicholas P. Johnson, Jens Hansen, Yuguang Xiong, Wilfredo Mellado, Rosa E. Tolentino, Kaitlin Johnson, Gomathi Jayaraman, Zaara Suhail, Lauren Harlow, Jinye Dai, Kristin G. Beaumont, Robert Sebra, Dianna E. Willis, , Ravi Iyengar

The paper identifies SCI-induced changes in axonal RNA, including circular RNAs, and shows that reducing ADAR1 promotes axonal outgrowth.

Frontiers in Molecular Neuroscience · Aug 24, 2023Peer-reviewedNeuroscience

Systems therapeutics analyses identify genomic signatures defining responsiveness to allopurinol and combination therapy for lung cancer

Iman Tavassoly, Yuan Hu, Shan Zhao, Chiara Mariottini, Aislyn D. W. Boran, Yibang Chen, Lisa Shi Yun Li, Rosa E. Tolentino, Gomathi Jayaraman, Joseph Goldfarb, James M. Gallo, Ravi Iyengar

The paper identifies genomic signatures predicting allopurinol and combination therapy responses in lung cancer using TCGA, CCLE, and patient-derived tumor data.

Molecular Oncology · May 22, 2019Peer-reviewedSystems Biology

A Comparison of mRNA Sequencing with Random Primed and 3’-Directed Libraries

Yuguang Xiong, Magali Soumillon, Jie Wu, Jens Hansen, Bin Hu, J. G. Coen van Hasselt, Gomathi Jayaraman, Ryan G. Lim, Mehdi Bouhaddou, Loren Ornelas, Jim Bochicchio, Lindsay Lenaeus, Jennifer T. Stocksdale, Jaehee V. Shim, Emilda Gomez, , Marc R. Birtwistle

This study compares 3-DGE and conventional mRNAseq, finding similar gene expression results with 3-DGE offering cost savings and scalability.

Scientific Reports · Nov 1, 2017Peer-reviewedGenomics

Clinically-weighted transcriptomic signatures for protein kinase inhibitor associated cardiotoxicity

Johan G.C. van Hasselt, Jens Hansen, Yuguang Xiong, Jaehee Shim, Amanda Pickard, Gomathi Jayaraman, B Hu, Milind Mahajan, James Gallo, Eric A Sobie, Marc R Birtwistle, Evren U Azeloglu, Ravi Iyengar

The paper develops clinically-weighted transcriptomic signatures to predict protein kinase inhibitor-associated cardiotoxicity using mRNA sequencing and elastic net regression.

bioRxiv · Sep 19, 2016Pharmacology & Toxicology