ArticlePloS one2012
Network analysis of epidermal growth factor signaling using integrated genomic, proteomic and phosphorylation data.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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.
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.
Who cites it
26 citing papers in PubMed, 46 citations in OpenAlex.
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- CONSTRUCTING GENE REGULATORY NETWORK USING CHATTERJEE'S RANK CORRELATION WITH SINGLE-CELL TRANSCRIPTOMIC DATA.bioRxiv : the preprint server for biology · 2025Article
- Epidermal Growth Factor Intralesional Delivery in Chronic Wounds: The Pioneer and Standalone Technique for Reversing Wound Chronicity and Promoting Sustainable Healing.International journal of molecular sciences · 2024Review
- Genomic instability as a major mechanism for acquired resistance to EGFR tyrosine kinase inhibitors in cancer.Protein & cell · 2022Review
- Microfluidic Single-Cell Proteomics Assay Chip: Lung Cancer Cell Line Case Study.Micromachines · 2021Article
- Temporal multiomic modeling reveals a B-cell receptor proliferative program in chronic lymphocytic leukemia.Leukemia · 2021Article
- Host signaling and EGR1 transcriptional control of human cytomegalovirus replication and latency.PLoS pathogens · 2019Article
- Unified feature association networks through integration of transcriptomic and proteomic data.PLoS computational biology · 2019Article
- A Proteomics Approach to Profiling the Temporal Translational Response to Stress and Growth.iScience · 2018Article
- A systems perspective of heterocellular signaling.Essays in biochemistry · 2018Review
- Integrated Analysis of Proteomic and Transcriptomic Data Highlights Late Fetal Muscle Maturation Process.Molecular & cellular proteomics : MCP · 2018Article
- Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells.Communications biology · 2018Article
- Review
- Phenotypically anchored transcriptome profiling of developmental exposure to the antimicrobial agent, triclosan, reveals hepatotoxicity in embryonic zebrafish.Toxicology and applied pharmacology · 2016Article
- Conservation of protein abundance patterns reveals the regulatory architecture of the EGFR-MAPK pathway.Science signaling · 2016Article
- Use of mechanistic models to integrate and analyze multiple proteomic datasets.Biophysical journal · 2015Article
- Pathway and network approaches for identification of cancer signature markers from omics data.Journal of Cancer · 2015Review
- Decoding Cellular Dynamics in Epidermal Growth Factor Signaling Using a New Pathway-Based Integration Approach for Proteomics and Transcriptomics Data.Frontiers in genetics · 2015Article
- Single-cell Western blotting after whole-cell imaging to assess cancer chemotherapeutic response.Analytical chemistry · 2014Article
- Network signatures link hepatic effects of anti-diabetic interventions with systemic disease parameters.BMC systems biology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
To understand how integration of multiple data types can help decipher cellular responses at the systems level, we analyzed the mitogenic response of human mammary epithelial cells to epidermal growth factor (EGF) using whole genome microarrays, mass spectrometry-based proteomics and large-scale western blots with over 1000 antibodies. A time course analysis revealed significant differences in the expression of 3172 genes and 596 proteins, including protein phosphorylation changes measured by western blot. Integration of these disparate data types showed that each contributed qualitatively different components to the observed cell response to EGF and that varying degrees of concordance in gene expression and protein abundance measurements could be linked to specific biological processes. Networks inferred from individual data types were relatively limited, whereas networks derived from the integrated data recapitulated the known major cellular responses to EGF and exhibited more highly connected signaling nodes than networks derived from any individual dataset. While cell cycle regulatory pathways were altered as anticipated, we found the most robust response to mitogenic concentrations of EGF was induction of matrix metalloprotease cascades, highlighting the importance of the EGFR system as a regulator of the extracellular environment. These results demonstrate the value of integrating multiple levels of biological information to more accurately reconstruct networks of cellular response.
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Registered trials
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 OpenQuestion graph.