Evidence map›Paper›PMID 41997234›Full record

ArticleMolecular & cellular proteomics : MCP2026

Proteomic Profiling Reveals How Physiological Media Reshape Cancer Cell Proteomes and Signaling Networks.

Colin Zenge, Brittany Q Pham, Ki Hong Nam, Elana Apfelbaum, Heeseon An, Alban Ordureau

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Colin ZengeCell Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Brittany Q PhamDepartment of Pharmacology, Weill Cornell Graduate School of Medical Sciences, New York, New York, USA.
Ki Hong NamCell Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Elana ApfelbaumDepartment of Pharmacology, Weill Cornell Graduate School of Medical Sciences, New York, New York, USA; Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Heeseon AnDepartment of Pharmacology, Weill Cornell Graduate School of Medical Sciences, New York, New York, USA; Chemical Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Tri-Institutional PhD Program of Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: anh@mskcc.org.
Alban OrdureauCell Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: ordureaa@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Michael Jason de la Cruz · 1985 to 2026
$347.4M
Decoding the Ubiquitin and Autophagy Signaling NetworksR35GM156454 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Alban Ordureau · 2025 to 2026
$880k
NCI NIH HHS P30 CA008748NIGMS NIH HHS R35 GM156454
6 · The paper itself

Abstract

Altered metabolism is a hallmark of cancer, making metabolic enzymes attractive therapeutic targets. However, metabolic inhibitors have shown limited clinical success, partly due to differences between standard culture media and physiological nutrient conditions. Human plasma-like medium (HPLM) better recapitulates in vivo metabolite concentrations, yet its effects on cellular proteomes remain poorly characterized. We performed comprehensive TMTpro-based quantitative proteomics and phosphoproteomics across nine cancer cell lines cultured in DMEM or HPLM, consistently quantifying over 10,000 proteins and 24,000 phosphorylation sites across all three biological replicates with high reproducibility. Physiological media induced profound cell-type-specific remodeling of metabolic networks, mitochondrial proteomes, and signaling pathways. While decreased mTORC1 and CDK activity represented universal responses across all cell lines, metabolic enzyme expression exhibited striking heterogeneity. Enzymes in folate metabolism and pyrimidine salvage pathways showed consistent reductions across all cell types, indicating that drug responses may vary with media choice. Mitochondrial proteome composition and morphology displayed cell-type-specific adaptations. Phosphoproteomic analysis revealed kinase signaling networks underlying these metabolic changes. This dataset, accessible via an interactive web application, provides a resource for metabolic research using physiological media, highlighting substantial cell-type-specific variability in how media affect proteomes and signaling pathways.

Indexed as

Culture MediaNeoplasmsProteomeProteomicsSignal TransductionCell Line, TumorHumansMechanistic Target of Rapamycin Complex 1Metabolic Networks and PathwaysMetabolic ReprogrammingMitochondriaPhosphoproteinsPhosphorylationCulture MediaMechanistic Target of Rapamycin Complex 1PhosphoproteinsProteomecancer cell metabolismCDK activitymTORC1 signalingphysiological mediaproteomics

Identifiers

PMID41997234
PMCPMC13195775

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.