Mark A. LaBarge

City of Hope, Lawrence Berkeley National Laboratory

Papers

4

Total Citations

504

H-Index

4

About

Mark A. LaBarge is a biomedical researcher whose work sits at the intersection of cancer biology, microenvironmental signaling, and systems-level cellular analysis. His research has made significant contributions to understanding how the cellular microenvironment shapes cancer progression, drug resistance, and epithelial plasticity — particularly in the context of breast cancer biology. LaBarge's most impactful contribution is his involvement in the NIH LINCS (Library of Integrated Network-Based Cellular Signatures) Program, a landmark systems biology initiative aimed at cataloging how human cells respond to various perturbations. This work, published in 2017, has garnered over 447 citations, reflecting its broad utility across the research community as a foundational resource for understanding cellular behavior at scale. His laboratory also pioneered the development of MicroEnvironment microArrays (MEArrays), innovative platforms that enable high-throughput interrogation of how discrete microenvironmental signals influence single-cell behavior, including differentiation and proliferation. Further work has revealed that specific tumor microenvironments can non-sporadically drive expression of receptors like AXL and cKIT, challenging prevailing assumptions about drug tolerance and highlighting the role of epithelial plasticity in therapy failure. LaBarge's research offers critical insights for designing more effective cancer treatments.

Research Focus

Key Achievements

4
H-Index
4
Papers
504
Total Citations
126
Avg Citations/Paper
🏆 Most Cited Paper
The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
447 citations · 2017
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 112
🏛 Institutions: City of Hope, Lawrence Berkeley National Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago