Author

C. L. Wolfgang

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

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

A. B. Pucsek· 1 shared A. Gupta· 1 shared A. Kimmelman· 1 shared A. M. Lennon· 1 shared B. Kinny-Koster· 1 shared B. Vogelstein· 1 shared C. Bettegowda· 1 shared C. Cherry· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 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

1 shared paperCancer Biology

A. B. Pucsek

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Inflammatory Signaling in Pancreatic Cancer Transfers Between a Single-cell RNA Sequencing Atlas and Co-Culture

B. Kinny-Koster, S. Guinn, J. A. Tandurella, J. T. Mitchell, D. N. Sidiropoulos, M. Loth, M. R. Lyman, A. B. Pucsek, T. T. Seppala, C. Cherry, R. Suri, H. Zlomke, J. He, C. L. Wolfgang, J. Yu, , J. W. Zimmerman

This paper integrates single-cell RNA sequencing data with organoid co-cultures to study inflammatory signaling in pancreatic cancer and validates findings through transfer learning and mechanistic experiments.

bioRxiv · Jul 14, 2022 · PreprintCancer Biology

Assessing aneuploidy with repetitive element sequencing.

C. Douville, J. D. Cohen, J. Ptak, M. Popoli, J. Schaefer, N. Silliman, L. Dobbyn, R. E. Schoen, J. Tie, P. Gibbs, M. Goggins, C. L. Wolfgang, T.-L. Wang, I.-M. Shih, R. Karchin, , B. Vogelstein

The paper describes a PCR-based assay for detecting aneuploidy in low DNA samples, showing 49% prevalence in non-metastatic cancers and 80% sensitivity when combined with other biomarkers.

bioRxiv · Jun 5, 2019Cancer Biology