Author

G. Stephanopoulos

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· 2 Bioengineering· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Organism:human· 3 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Research Focus:metabolism & bioenergetics· 2 Assay:metabolomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1

Frequent Co-Authors

W. Dong· 3 shared M. A. Keibler· 2 shared A. E. Vasdekis· 1 shared A. J. Sinskey· 1 shared A. Novikova· 1 shared A. Pailot· 1 shared A. Tebeje· 1 shared C. J. Berrios· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersBiochemistry

W. Dong

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Drug screening in human physiologic medium identifies uric acid as an inhibitor of rigosertib efficacy

V. Rawat, P. DeLear, P. Prashanth, M. E. Ozgurses, A. Tebeje, P. A. Burns, K. O. Conger, C. Solis, Y. Hasnain, A. Novikova, J. E. Endress, P. Gonzalez-Sanchez, W. Dong, G. Stephanopoulos, G. M. DeNicola, , J. L. Coloff

The paper screens drugs in human physiologic medium and identifies uric acid as an inhibitor of rigosertib's efficacy.

bioRxiv · Jul 26, 2023Cancer Biology

Non-targeted metabolomics identifies erythronate accumulation in cancer cells

J. Zhang, M. A. Keibler, W. Dong, J. Ghelfi, T. Cordes, T. Kanashova, A. Pailot, C. Linster, G. Dittmar, C. M. Metallo, T. Lautenschlaeger, K. Hiller, G. Stephanopoulos

The paper identifies erythronate accumulation in cancer cells using non-targeted metabolomics and suggests it may serve as a cancer biomarker.

bioRxiv · Dec 4, 2022 · PreprintBiochemistry

Oncogenic metabolic rewiring independent of proliferative control in human mammary epithelial cells

W. Dong, M. A. Keibler, S. J. Moon, P. Cho, N. Liu, C. J. Berrios, J. Kelleher, H. D. Sikes, O. Iliopoulos, J. Coloff, M. Vander Heiden, G. Stephanopoulos

The paper compares metabolic flux in cancerous and normal human mammary epithelial cells using 13C-tracing and MFA, finding distinct metabolic pathways activated in cancer cells.

bioRxiv · Apr 8, 2022 · PreprintBiochemistry

Deep Learning Classification of Lipid Droplets in Quantitative Phase Images

L. J. Sheneman, G. Stephanopoulos, A. E. Vasdekis

This paper applies supervised machine learning to classify lipid droplets in quantitative-phase images, finding convolutional neural networks to be most effective.

bioRxiv · Jun 1, 2020Microbiology

Constructing an ethanol utilization pathway in Escherichia coli to produce acetyl-CoA derived compounds

H. Liang, X. Ma, W. Ning, Y. Liu, A. J. Sinskey, G. Stephanopoulos, K. Zhou

This paper engineers Escherichia coli to convert ethanol into acetyl-CoA and its derivatives through a heterologous pathway, achieving efficient ethanol consumption and production of PHB and prenol.

bioRxiv · Apr 14, 2020Bioengineering