Author

Chirag Krishna

Pfizer (United States)ORCID 0000-0002-9166-4632Unclaimed ORCID profile · follow to get notified of new preprints

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Chirag Krishna1 paper

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 1 Assay:CITE-seq· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Research Focus:eQTL / molecular QTL mapping· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Aaron R. WinkleriD· 1 shared Amanda O. ChaniD· 1 shared Angli XueiD· 1 shared Anna S. E. CuomoiD· 1 shared Benjamin M. NealeiD· 1 shared Blake E. SmithiD· 1 shared Caleb R. PereziD· 1 shared Connor S. DobsoniD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperImmunology

Aaron R. WinklerORCID

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3 papers

Recent·Most cited

Scalable TCR synthesis and screening enables antigen reactivity mapping in vitiligo

Stephanie A. Gaglione, Rachit S Mukkamala, Chirag Krishna, Blake E. Smith, Marc H. Wadsworth, Scott A. Jelinsky, Caleb R. Perez, Laura Schmidt-Hong, Erica L. Katz, Kyle J. Gellatly, Lestat R. Ali, Jie Shen, Patrick V. Holec, Qingyang Henry Zhao, Amanda O. Chan, , Michael E. Birnbaum

The paper introduces a scalable TCR synthesis and screening method, TCRAFT, to map antigen reactivity in vitiligo and pancreatic ductal adenocarcinoma.

Immunity · Jan 28, 2026Peer-reviewedImmunology

The influence of HLA genetic variation on plasma protein expression

Chirag Krishna, Joshua Chiou, Saori Sakaue, Joyce B. Kang, Stephen M. Christensen, Isac Lee, Melis A. Aksit, Hye In Kim, David von Schack, Soumya Raychaudhuri, Daniel Ziemek, Xinli Hu

This study identifies 504 plasma proteins influenced by HLA genetic variation in 45,330 Europeans, revealing their roles in immune function and disease.

Nature Communications · Jul 31, 2024Peer-reviewedGenetics

Efficient and accurate mixed model association tool for single-cell eQTL analysis

Wei Zhou, Anna S. E. Cuomo, Angli Xue, Masahiro Kanai, Grant Chau, Chirag Krishna, Ramnik J. Xavier, Daniel G. MacArthur, Joseph E. Powell, Mark J. Daly, Benjamin M. Neale

SAIGE-QTL is a tool for single-cell eQTL analysis that directly maps eQTLs without pseudobulk aggregation and improves power for detecting rare variants.

medRxiv · May 15, 2024 · PreprintGenetic & Genomic Medicine