Author

C. J. Hunter

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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Biochemistry· 1 Bioengineering· 1 Cell Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1

Frequent Co-Authors

D. Paull· 2 shared S. A. Noggle· 2 shared A. Daigavane· 1 shared A. Duren-Lubanski· 1 shared A. E. Gilchrist· 1 shared A. Geraschenko· 1 shared A. Narayanaswamy· 1 shared B. A. C. Harley· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPathology

D. Paull

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Glycine homeostasis requires reverse SHMT flux

M. J. McBride, C. J. Hunter, J. Rabinowitz

The paper shows that SHMT flux consumes glycine rather than producing it, with liver SHMT2 playing a major role in glycine consumption.

bioRxiv · Jan 11, 2023Biochemistry

Modeling gene x environment interactions in PTSD using glucocorticoid-induced transcriptomics in human neurons

M. S. Breen, T. Rusielewicz, H. N. Bader, C. Seah, C. Xu, C. J. Hunter, B. McCarthy, M. Chattopadhyay, F. Desarnaud, I. Makotkine, J. D. Flory, L. M. Bierer, M. Staniskyte, NYSCF Global Array Team, S. A. Noggle, , R. Yehuda

The paper examines gene x environment interactions in PTSD by analyzing glucocorticoid-induced transcriptomics in human neurons and blood cells from veterans with and without PTSD.

bioRxiv · Mar 1, 2021 · PreprintPathology

Hydrogels Containing Gradients in Vascular Density Reveal Dose-Dependent Role of Angiocrine Cues on Stem Cell Behavior

M. T. Ngo, V. R. Barnhouse, A. E. Gilchrist, C. J. Hunter, J. N. Hensold, B. A. C. Harley

This study uses 3D hydrogels with vascular density gradients to show how angiocrine cues affect HSC behavior, finding that high vessel density reduces Akt signaling and increases lineage-positive cell expansion.

bioRxiv · Feb 12, 2021Bioengineering

Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts

L. Schiff, B. Migliori, Y. Chen, D. Carter, C. Bonilla, J. Hall, M. Fan, E. Tam, S. Ahadi, B. Fischbacher, A. Geraschenko, C. J. Hunter, S. Venugopalan, S. DesMarteau, A. Narayanaswamy, , Yang

This study develops a platform combining deep learning and high-content imaging to identify disease-specific phenotypes in Parkinson's fibroblasts, achieving high accuracy in distinguishing disease subtypes.

bioRxiv · Nov 13, 2020Cell Biology