Deciphering the history of ERK activity from fixed-cell immunofluorescence measurements
Abhineet Ram,
Michael Pargett,
Yongin Choi,
Devan Murphy,
Carolyn Teragawa,
Markhus Cabel,
Nont Kosaisawe,
Gerald Quon and
John G. Albeck ()
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Abhineet Ram: University of California
Michael Pargett: University of California
Yongin Choi: University of California
Devan Murphy: University of California
Carolyn Teragawa: University of California
Markhus Cabel: University of California
Nont Kosaisawe: University of California
Gerald Quon: University of California
John G. Albeck: University of California
Nature Communications, 2025, vol. 16, issue 1, 1-18
Abstract:
Abstract The RAS/ERK pathway plays a central role in diagnosis and therapy for many cancers. ERK activity is highly dynamic within individual cells and drives cell proliferation, metabolism, and other processes through effector proteins including c-Myc, c-Fos, Fra-1, and Egr-1. These proteins are sensitive to the dynamics of ERK activity, but it is not clear to what extent the pattern of ERK activity in an individual cell determines effector protein expression, or how much information about ERK dynamics is embedded in the pattern of effector expression. Here, we evaluate these relationships using live-cell biosensor measurements of ERK activity, multiplexed with immunofluorescence staining for downstream target proteins of the pathway. Combining these datasets with linear regression, machine learning, and differential equation models, we develop an interpretive framework for immunofluorescence data, wherein Fra-1 and pRb levels imply long-term activation of ERK signaling, while Egr-1 and c-Myc indicate more recent activation. Analysis of multiple cancer cell lines reveals a distorted relationship between ERK activity and cell state in malignant cells. We show that this framework can infer various classes of ERK dynamics from effector protein stains within a heterogeneous population, providing a basis for annotating ERK dynamics within fixed cells.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58348-7
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DOI: 10.1038/s41467-025-58348-7
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