Skip to content
DraconiticResearch
Search Sources API
194,161 studies31 sourcesUpdated 59 min ago
Peer-reviewedCC BYFrontiers in bioengineering and biotechnology

Proteomic analysis of bioprinted pancreatic tumor models under different nutrient conditions.

  1. 1Department of Biomedical Engineering, Watson College of Engineering and Applied Science, Center of Biomanufacturing for Regenerative Medicine, Binghamton University, State University of New York (SUNY), Binghamton, NY, United States.
  2. 2Department of Bioengineering, Recep Tayyip Erdoğan University, Rize, Türkiye.

Abstract

Background

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stromal microenvironment that restricts nutrient availability and contributes to tumor adaptation. Cancer-associated fibroblasts (CAFs), extracellular matrix components, and tumor cells participate in reciprocal interactions that influence the metabolic state of PDAC tumors.Objective

This study investigated nutrient-associated proteomic changes in three-dimensional (3D) bioprinted PDAC-CAF tumor constructs and examined alterations in metabolic and cell-junction-related pathways under nutrient-avid and nutrient-deprived conditions.Methods

Three-dimensional bioprinted pancreatic tumor constructs composed primarily of PANC1 cells and cancer-associated fibroblasts (CAFs) were cultured under nutrient-avid (N) and nutrient-deprived (N-) conditions. Constructs were monitored at Days 0, 6, and 12, and Day 6 was selected for comparative proteomic analysis as an intermediate stage at which nutrient-associated structural divergence was evident while both tumor and stromal compartments remained detectable. Label-free high-resolution LC-MS/MS proteomic profiling was followed by KEGG pathway enrichment and complementary bioinformatic analyses. Selected junction-associated findings were further examined by quantitative real-time PCR.Results

Distinct nutrient-associated proteomic signatures were observed in the bioprinted tumor constructs. Nutrient-avid conditions were associated with enrichment of pathways including pantothenate and CoA biosynthesis, β-alanine metabolism, and arginine and proline metabolism. Nutrient-deprived conditions showed enrichment of pathways related to unsaturated fatty-acid biosynthesis, fatty-acid elongation, riboflavin metabolism, folate-associated metabolism, and terpenoid backbone biosynthesis. Nutrient-associated differences were also observed among proteins assigned to gap-junction, adherens-junction, focal-adhesion, tight-junction, and central-carbon-metabolism pathways. Selected junction-associated proteomic observations were supported at the transcript level by qPCR, although concordance between mRNA and protein abundance varied among targets.Conclusion

Nutrient availability was associated with distinct metabolic and junction-related proteomic signatures in 3D bioprinted PDAC-CAF constructs. These findings provide hypothesis-generating evidence of nutrient-dependent molecular remodeling within a multicellular PDAC model. Functional perturbation studies will be required to determine the causal and therapeutic relevance of the candidate proteins and pathways identified here.

Related

  1. Proteomic Profiling of Xenobiotic and Nutrient Transporters in Human Placenta of Different Gestational Ages.
    Eric M Weaver, Ariel Topletz-Erickson, Edward J Kelly +4
    Clinical pharmacology and therapeuticsPeer-reviewedCC BY-NCFull textOncologyEurope PMC
  2. Pancreatic α cells are required for nutrient homeostasis by regulating dynamic β cell networks in islets
    Marie Lallouet, Manon Jaffredo, Antoine Pirog +6
    Science AdvancesPeer-reviewedCC BYFull text1 citedSurgery & anaesthesiaHAL
  3. Targeting SLC6A14-mediated nutrient competition reverses an immunosuppressive metabolic niche in pancreatic cancer.
    Lihong He, Zihao Lin, Lingyue Liu +8
    Experimental hematology & oncologyPeer-reviewedCC BY-NC-NDFull textOncologyEurope PMCPMC
  4. Integrated single-cell and proteomic profiling of pancreatic neoplasia identifies tissue markers that outperform established diagnostic markers in distinguishing cancer from precursor lesions.
    T. T. Tran, P. U. Nguyen Hoang, D. T. Pham +4
    medRxivPreprintCC BYFull textOncologymedRxiv
  5. Bioequivalence of tegomil fumarate gastro-resistant capsules versus dimethyl fumarate gastro-resistant capsules under different fed conditions: two randomized, crossover, phase I studies
    Katja Zietz, Simona Rizea Savu, Lina Remis +3
    Frontiers in neurologyPeer-reviewedCC BYFull textNeurologyEurope PMC
BibTeX
@article{buyuk2026proteomic,
  title = {{Proteomic analysis of bioprinted pancreatic tumor models under different nutrient conditions.}},
  author = {Busra Buyuk and Ming Li and Xueer Song and Kaiming Ye},
  journal = {Frontiers in bioengineering and biotechnology},
  year = {2026},
  month = oct,
  doi = {10.3389/fbioe.2026.1921652},
  url = {https://europepmc.org/article/MED/42898989},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Proteomic analysis of bioprinted pancreatic tumor models under different nutrient conditions.
AU  - Busra Buyuk
AU  - Ming Li
AU  - Xueer Song
AU  - Kaiming Ye
PY  - 2026
DA  - 2026/10/05
JO  - Frontiers in bioengineering and biotechnology
DO  - 10.3389/fbioe.2026.1921652
UR  - https://europepmc.org/article/MED/42898989
AB  - Background  Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stromal microenvironment that restricts nutrient availability and contributes to tumor adaptation. Cancer-associated fibroblasts (CAFs), extracellular matrix components, and tumor cells participate in reciprocal interactions that influence the metabolic state of PDAC tumors.Objective  This study investigated nutrient-associated proteomic changes in three-dimensional (3D) bioprinted PDAC-CAF tumor constructs and examined alterations in metabolic and cell-junction-related pathways under nutrient-avid and nutrient-deprived conditions.Methods  Three-dimensional bioprinted pancreatic tumor constructs composed primarily of PANC1 cells and cancer-associated fibroblasts (CAFs) were cultured under nutrient-avid (N) and nutrient-deprived (N-) conditions. Constructs were monitored at Days 0, 6, and 12, and Day 6 was selected for comparative proteomic analysis as an intermediate stage at which nutrient-associated structural divergence was evident while both tumor and stromal compartments remained detectable. Label-free high-resolution LC-MS/MS proteomic profiling was followed by KEGG pathway enrichment and complementary bioinformatic analyses. Selected junction-associated findings were further examined by quantitative real-time PCR.Results  Distinct nutrient-associated proteomic signatures were observed in the bioprinted tumor constructs. Nutrient-avid conditions were associated with enrichment of pathways including pantothenate and CoA biosynthesis, β-alanine metabolism, and arginine and proline metabolism. Nutrient-deprived conditions showed enrichment of pathways related to unsaturated fatty-acid biosynthesis, fatty-acid elongation, riboflavin metabolism, folate-associated metabolism, and terpenoid backbone biosynthesis. Nutrient-associated differences were also observed among proteins assigned to gap-junction, adherens-junction, focal-adhesion, tight-junction, and central-carbon-metabolism pathways. Selected junction-associated proteomic observations were supported at the transcript level by qPCR, although concordance between mRNA and protein abundance varied among targets.Conclusion  Nutrient availability was associated with distinct metabolic and junction-related proteomic signatures in 3D bioprinted PDAC-CAF constructs. These findings provide hypothesis-generating evidence of nutrient-dependent molecular remodeling within a multicellular PDAC model. Functional perturbation studies will be required to determine the causal and therapeutic relevance of the candidate proteins and pathways identified here.
SN  - 2296-4185
ER  -