Author

Aayush Gupta

Dr. D. Y. Patil Medical College, Hospital and Research CentreORCID 0000-0002-1455-8086Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Archana Kumari SinghiD· 2 shared Arijit MukhopadhyayiD· 1 shared Daniel J. CampbelliD· 1 shared Debasis DashiD· 1 shared Hannah A. DeBergiD· 1 shared Hemanta Kumar KariD· 1 shared Iris Karina GratziD· 1 shared Iti GuptaiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersImmunology

Archana Kumari SinghORCID

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3 papers

Recent·Most cited

ImmunologyJournal of Investigative DermatologyPeer-reviewedApr 9, 2025

T cells promote distinct transcriptional programs of cutaneous inflammatory disease in keratinocytes and dermal fibroblasts

Hannah A. DeBerg, Mitchell L. Fahning, Suraj R. Varkhande…·Peter A. Morawski

The paper shows how different T cell types drive distinct transcriptional changes in skin cells during inflammation, linking these changes to diseases like psoriasis and scleroderma.

5 citations

humanbulk RNA-seq

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GenomicsJournal of Investigative DermatologyPeer-reviewedDec 16, 2022

Whole exome-sequencing of vitiligo lesions indicate lower burden of somatic variations: implications in risk for non-melanoma skin cancers

Iti Gupta, Shambhavi Shankrit, Kiran Narta…·Vivek T. Natarajan

The paper uses whole exome sequencing to show lower somatic mutation burden in vitiligo lesions, linked to reduced non-melanoma skin cancer risk through enhanced DNA repair.

12 citations

humanwhole-exome sequencing

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GenomicsbioRxivPreprintMay 11, 2021

Novel Interpretable Tissue-Specific and Multi-Tissue Transcriptomic Clocks to Infer Aging Mechanisms

Aayush Gupta, Mindren Lu, Jessica D. Sun

This paper develops tissue-specific and multi-tissue transcriptomic clocks using XGBoost to predict age and identify aging-related genes from GTEx data.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky