Author

A. Kirschner

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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Bioengineering· 2 Cell Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 4 Approach:experimental assay· 3 Organism:human· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

P. S. Ganapathy· 3 shared S. Herberg· 3 shared T. Bague· 3 shared A. N. Strat· 2 shared H. Li· 2 shared A. E. Patteson· 1 shared A. Marchetto· 1 shared A. N. Akatli· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersBioengineering

P. S. Ganapathy

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Author profile →

4 papers

Recent·Most cited

Engineering a 3D hydrogel system to study optic nerve head astrocyte morphology and behavior in response to glaucomatous insult

A. N. Strat, A. Kirschner, H. Yoo, A. Singh, T. Bague, H. N. Li, S. Herberg, P. S. Ganapathy

This study develops a 3D hydrogel system to mimic the in vivo mouse optic nerve head astrocyte microenvironment and assesses their reactivity to TGFβ2 treatment.

bioRxiv · Jan 8, 2022 · PreprintBioengineering

Mechanosensitive channel inhibition attenuates TGFβ2-induced actin cytoskeletal remodeling and reactivity in mouse optic nerve head astrocytes.

A. Kirschner, A. N. Strat, J. Yablonski, T. Bague, H. Li, S. Herberg, P. S. Ganapathy

This study shows that inhibiting mechanosensitive channels reduces TGFβ2-induced actin remodeling and reactivity in optic nerve head astrocytes.

bioRxiv · Jun 5, 2021Cell Biology

A tissue-engineered human trabecular meshwork hydrogel for advanced glaucoma disease modeling

H. Li, T. Bague, A. Kirschner, R. W. Weisenthal, A. E. Patteson, N. Annabi, W. D. Stamer, P. S. Ganapathy, S. Herberg

This paper develops a biomimetic HTM hydrogel model to study glaucoma pathology and test therapeutic interventions.

bioRxiv · Jul 31, 2020Bioengineering

Systematic identification of cancer-specific MHC-binding peptides with RAVEN

M. C. Baldauf, J. S. Gerke, A. Kirschner, F. Blaeschke, M. Effenberger, K. Schober, R. Alba Rubio, T. Kanaseki, M. M. Kiran, M. Dallmayer, J. Musa, N. Akpolat, A. N. Akatli, F. C. Rosman, O. Ozen, , T. G. Grunewald

The paper introduces RAVEN, a software tool that identifies cancer-specific genes encoding MHC-affine peptides from gene expression data, validated across 50 cancer types.

bioRxiv · Sep 24, 2017Immunology