Author

J. Barthold

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

C. Neu· 2 shared A. Ozgul· 1 shared A. Scott· 1 shared A. Swearingen· 1 shared A. Wacquez· 1 shared B. E. Kendall· 1 shared B. Seelbinder· 1 shared B. St. Martin· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

C. Neu

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Epigenetic remodeling during monolayer cell expansion reduces therapeutic potential

A. Scott, E. Casas, S. E. Schneider, A. Swearingen, C. Van Den Elzen, B. Seelbinder, J. Barthold, J. Kugel, J. L. Stern, K. Foster, N. Emery, J. Brumbaugh, C. Neu

This study shows that mechanical memory in chondrocytes is encoded in chromatin architecture, affecting their fate and therapeutic potential after expansion.

bioRxiv · Dec 14, 2021 · PreprintBioengineering

Percolation of Microparticle Matrix Promotes Cell Migration and Integration while Supporting Native Tissue Architecture

J. Barthold, B. St. Martin, S. Lalitha Sridhar, F. Vernerey, S. Schneider, A. Wacquez, V. Ferguson, S. Calve, C. Neu

This study develops a composite biomaterial called tissue clay that supports cell migration and tissue integration while mimicking native architecture.

bioRxiv · Aug 10, 2020Bioengineering

Modeling Adaptive and Non-adaptive Responses of Populations to Environmental Change

T. Coulson, B. E. Kendall, J. Barthold, F. Plard, S. Schindler, A. Ozgul, J.-M. Gaillard

The paper develops models to predict population responses to environmental change by linking quantitative genetics with data-driven models, showing that evolutionary responses are slower than plastic ones and depend on plastic adaptiveness.

bioRxiv · Mar 24, 2017Evolutionary Biology