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Pancreatic ductal adenocarcinoma (PDAC) is a high-mortality cancer characterized by its aggressive, treatment-resistant phenotype and a complex tumour microenvironment (TME) featuring significant hypoxia. Bulk transcriptomic analysis has identified the "classical" and "basal-like" transcriptional subtypes which have prognostic value; however, it is not well-established how microenvironmental heterogeneity contributes to these transcriptional signatures. Here, we exploited the TRACER platform to perform single cell transcriptome analysis of organoids at specific spatial locations to explore the effect of oxygen and other cell-generated microenvironmental gradients on organoid heterogeneity. We found that the microenvironmental gradients present in TRACER significantly impact the distribution of organoid transcriptional phenotypes and the enrichment of gene sets linked to cancer progression and treatment resistance. More significantly, we found that microenvironmental gradients, predominantly oxygen, drive changes in the expression of classical and basal-like transcriptional subtype gene signatures. This work suggests that hypoxia contributes to determining transcriptional subtypes in PDAC tumour cells independent of additional cells in the TME and broadly highlights the importance of considering microenvironmental gradients such as oxygen in organoid-based studies.
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http://dx.doi.org/10.1038/s41598-025-98344-x | DOI Listing |
Chem Sci
August 2025
Key Laboratory for Advanced Materials and Joint International Research Laboratory for Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Chemistry and Molecular Engineering,
Real-time monitoring of photodynamic therapy (PDT) is essential for precision medicine, yet remains hindered by microenvironmental interference and photobleaching of conventional mono-emissive photosensitizers (PSs). Herein, inspired by the energy level gradients depicted in the Jablonski diagram, we report a gradient donor-acceptor molecular design strategy to overcome Kasha's rule, achieving intrinsic dual-emissive PSs. Combining femtosecond transient absorption spectroscopy with theoretical calculations, we have verified the Kasha/-Kasha properties of the compounds: near-infrared (NIR) emission peaking at 710 nm, exhibiting viscosity dependence stems, from the S-to-S excited-state decay of the primary acceptor-donor framework, whereas visible emission at 530-590 nm, significantly enhanced upon DNA binding, originates from the S-to-S excited-state decay of the additional acceptor-donor segment.
View Article and Find Full Text PDFFront Aging Neurosci
July 2025
Department of Neurosurgery, Western Theater General Hospital, Chengdu, China.
Parkinson's disease (PD), a prevalent neurodegenerative disorder, exhibits an exceedingly intricate pathological process characterized by multifaceted neuronal loss, inflammatory responses, protein misfolding, and blood-brain barrier (BBB) dysfunction. In the pathogenesis of PD, the BBB serves not only as a protective interface for the central nervous system but also actively contributes to the regulation of neural microenvironment homeostasis. Consequently, its impaired functionality can markedly exacerbate disease progression.
View Article and Find Full Text PDFJ Physiol Pharmacol
June 2025
Department of General and Oncological Surgery, Faculty of Medicine, Medical University of Lodz, Lodz, Poland.
The pH gradient inversion is one of the characteristic features of cancer cells. The acidic environment outside the tumor and the alkaline inside cancer cells significantly affect its growth and ability to metastasize and reduce the effectiveness of therapy. In this study, we examined the effect of the alkaline pH on the viability of colorectal cancer (CRC) cells Caco-2 and Ht-29, and normal human fibroblasts BJ-CRL-2522 as a control cell line.
View Article and Find Full Text PDFPancreatology
August 2025
Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, Amritapuri campus, Kerala, India. Electronic address:
Background: Pancreatic ductal adenocarcinoma carries a dismal prognosis, with five-year survival below 10 % due to late presentation, aggressive nature, and profound intratumor heterogeneity. Existing prognostic models fail to account for the dynamic interplay between subclonal evolution and the tumor microenvironment, limiting their clinical utility for risk stratification and therapy guidance.
Methods: An in silico, multiscale framework was developed, combining an agent-based model of subclone proliferation, migration, quiescence, and apoptosis with continuum reaction-diffusion equations for oxygen, nutrients, extracellular matrix, and chemoattractants.
Sci Rep
July 2025
Institute of Biomedical Engineering, University of Toronto, Toronto, Canada.
Pancreatic ductal adenocarcinoma (PDAC) is a high-mortality cancer characterized by its aggressive, treatment-resistant phenotype and a complex tumour microenvironment (TME) featuring significant hypoxia. Bulk transcriptomic analysis has identified the "classical" and "basal-like" transcriptional subtypes which have prognostic value; however, it is not well-established how microenvironmental heterogeneity contributes to these transcriptional signatures. Here, we exploited the TRACER platform to perform single cell transcriptome analysis of organoids at specific spatial locations to explore the effect of oxygen and other cell-generated microenvironmental gradients on organoid heterogeneity.
View Article and Find Full Text PDF