Author

J. Berg

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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Cancer Biology· 2 Cell Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

A. Angaji· 1 shared A. Dillin· 1 shared A. E. Lefebvre· 1 shared A. Richards· 1 shared C. Bertozzi· 1 shared C. K. Tsui· 1 shared C. Lorenz· 1 shared C. Velling· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperCancer Biology

A. Angaji

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

High-density sampling reveals volume growth in human tumours

A. Angaji, M. Owusu, C. Velling, N. Dick, D. Weghorn, J. Berg

This study uses high-density sampling of human tumours to show that growth occurs uniformly within the volume rather than at the surface.

bioRxiv · Dec 10, 2023Cancer Biology

The microenvironment dictates glycocalyx construction and immune surveillance

K. Tharp, S. Park, G. A. Timblin, A. Richards, J. Berg, N. Twells, N. M. Riley, E. Peltan, D. J. Shon, E. Stevenson, C. K. Tsui, F. Palomba, A. E. Lefebvre, R. Soens, N. Ayad, , V. Weaver

This study shows that the physical properties of the microenvironment influence glycocalyx composition and immune surveillance in vitro using physiologically relevant models.

bioRxiv · Jun 23, 2023 · PreprintCell Biology

Modeling Research Project Grant Success Rates from NIH Appropriation History: Extension to 2020

The paper extends a computational model to estimate NIH RPG success rates using historical appropriation data up to 2020, showing a small increase in success rate despite larger funding increases.

bioRxiv · Nov 25, 2020 · PreprintScientific Communication & Education

In vitro model for resistance in oncogene-dependent tumors at the limit of radiological detectability

N. Müller, J. Brägelmann, C. Lorenz, U. P. Michel, D. Plenker, S. Ortiz-Cuaran, J. Weiss, R. Büttner, M. Peifer, R. K. Thomas, M. L. Sos, J. Berg

The paper develops an in vitro model to study resistance mechanisms in oncogene-dependent tumors and shows that combining drugs targeting multiple resistance pathways can inhibit resistant and drug-tolerant cell growth.

bioRxiv · Sep 5, 2019 · PreprintCancer Biology