Author

S. Khochare

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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Cell Biology· 1 Evolutionary Biology· 1 Pathology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:imaging· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

D. Barwinska· 3 shared S. Winfree· 3 shared T. M. El-Achkar· 3 shared J. E. Lingeman· 2 shared K. J. Kelly· 2 shared K. W. Dunn· 2 shared M. T. Eadon· 2 shared A. Captain· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersPhysiology

D. Barwinska

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Integrated cytometry with machine learning applied to high-content imaging of human kidney tissue for in-situ cell classification and neighborhood analysis

S. Winfree, A. T. McNutt, S. Khochare, T. J. Borgard, D. Barwinska, A. R. Sabo, M. J. Ferkowicz, J. C. Williams, J. E. Lingeman, C. J. Gulbronson, K. J. Kelly, T. A. Sutton, P. C. Dagher, M. T. Eadon, K. W. Dunn, T. M. El-Achkar

The paper introduces VTEA, a software tool that integrates machine learning and cytometry analysis for high-content imaging of human kidney tissue to classify cells and analyze their spatial neighborhoods.

bioRxiv · Dec 27, 2021Physiology

A wolf in another wolf's clothing. Post-genomic regulation dictates venom profiles of medically-important cryptic kraits in India

K. Sunagar, S. Khochare, R. R. Senji Laxme, S. Attarde, P. Dam, V. Suranse, A. Khaire, G. Martin, A. Captain

This study identifies a new krait species and reveals venom variation among cryptic kraits in India, showing that post-genomic regulation shapes venom profiles and impacts antivenom effectiveness.

bioRxiv · Dec 15, 2020Evolutionary Biology

In situ classification of cell types in human kidney tissue using 3D nuclear staining

A. Woloshuk, S. Khochare, A. F. Almulhim, A. McNutt, D. Dean, D. Barwinska, M. Ferkowicz, M. T. Eadon, K. J. Kelly, K. W. Dunn, M. A. Hasan, T. M. El-Achkar, S. Winfree

This paper develops a deep learning method using 3D nuclear staining to classify cell types in human kidney tissue without requiring specific markers.

bioRxiv · Jun 24, 2020Cell Biology

A precision medicine approach uncovers a unique signature of neutrophils in patients with brushite kidney stones

M. S. Makki, S. Winfree, J. E. Lingeman, F. A. Witzmann, E. M. Worcester, A. Krambeck, F. Coe, A. P. Evan, S. Bledsoe, K. Bergsland, S. Khochare, D. Barwinska, J. C. Willliams, T. M. El-Achkar

This study identifies a unique neutrophil signature in brushite kidney stone formers through multi-omics analysis, linking increased neutrophil infiltration and NETosis to tissue scarring and inflammation.

bioRxiv · Nov 16, 2019Pathology