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Biology subjects

Pylvänäinen, J. W.

Publications and source records attributed to Pylvänäinen, J. W..

5 recordsLinked to original sources

Pancreatic cancer cells breach endothelial barriers through protrusion-driven invasion or endothelial retraction

Extravasation, the exit of circulating cancer cells from blood vessels, is a critical yet poorly understood step in metastatic dissemination. Here we show that pancreatic ductal adenocarcinoma (PDAC) cells can breach endothelial barriers through two mechanistically distinct modes of extravasation. MIA PaCa-2 cells breach endothelial junctions via filopodia-like protrusions, enabling access to and spread across the basal extracellular matrix (ECM). By contrast, AsPC-1 cells remain rounded atop the endothelium and cross the barrier by triggering rapid retraction of neighbouring endothelial cells. These distinct extravasation modes were also observed in zebrafish larvae. In the mouse lung, AsPC-1 cells arrest, survive, induce endothelial detachment from the basal lamina, and extravasate through this retraction mechanism before metastatic outgrowth. Mechanistically, AsPC-1-secreted factors are sufficient to destabilise endothelial monolayers, and AsPC-1 cells also induce endothelial apoptosis; however, blocking apoptosis does not prevent barrier disruption. By contrast, treatment with saracatinib, a Src-family kinase inhibitor, protects endothelial barriers, limits early vascular disruption in the lung, and delays metastatic outgrowth. Together, these findings reveal that PDAC cells can extravasate via mechanistically distinct routes, suggesting that effective anti-metastatic strategies may need to target multiple modes of endothelial barrier breach rather than a single pathway.

cell biology↗

Fast label-free live imaging reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers

Leukocyte extravasation is a key component of the innate immune response, while circulating tumor cell extravasation is a critical step in metastasis formation. Despite their importance, the mechanisms underlying leukocyte and tumor cell extravasation remain incompletely understood. Here, we developed an imaging pipeline that integrates fast, label-free live-cell imaging with deep learning-based image analysis to quantitatively track and compare the initial steps of extravasation--cell landing and arrest on an endothelial monolayer--under physiological flow conditions. We find that pancreatic ductal adenocarcinoma (PDAC) cells exhibit variable adhesion strength and flow sensitivity. Remarkably, some PDAC cells demonstrate comparable endothelial engagement as leukocytes, preferentially arresting at endothelial junctions, potentially due to increased stiffness at these sites, which leads to exposure to the underlying basal extracellular matrix. PDAC cells also tend to cluster in regions with high, heterogeneous expression of the endothelial CD44 receptor. Simulations suggest that clustering results from the combination of CD44-mediated attachment and localized flow disturbances that facilitate subsequent cell attachment. Targeting CD44 using siRNA or function-blocking antibodies, or degrading its ligand hyaluronic acid (HA), almost completely abolishes PDAC cell attachment. Overall, we demonstrate that cancer and immune cells share both common and unique features in endothelial adhesion under flow, and identify CD44 and HA as key mediators of PDAC cell arrest.

cell biology↗

DL4MicEverywhere: Deep learning for microscopy made flexible, shareable, and reproducible

Deep learning has revolutionised the analysis of extensive microscopy datasets, yet challenges persist in the widespread adoption of these techniques. Many lack access to training data, computing resources, and expertise to develop complex models. We introduce DL4MicEverywhere, advancing our previous ZeroCostDL4Mic platform, to make deep learning more accessible. DL4MicEverywhere uniquely allows flexible training and deployment across diverse computational environments by encapsulating methods in interactive Jupyter notebooks within Docker containers -a standalone virtualisation of required packages and code to reproduce a computational environment-. This enhances reproducibility and convenience. The platform includes twice as many techniques as originally provided by ZeroCostDL4Mic and enables community contributions via automated build pipelines. DL4MicEverywhere empowers participatory innovation and aims to democratise deep learning for bioimage analysis.

bioinformatics↗

Bringing TrackMate in the era of machine-learning and deep-learning.

TrackMate is an automated tracking software used to analyze bioimages and distributed as a Fiji plugin. Here we introduce a new version of TrackMate rewritten to improve performance and usability, and integrating several popular machine and deep learning algorithms to improve versatility. We illustrate how these new components can be used to efficiently track objects from brightfield and fluorescence microscopy images across a wide range of bio-imaging experiments.

bioinformatics↗

Control of MYC-dependent apoptotic threshold by a co-amplified ubiquitin E3 ligase UBR5

MYC protein expression has to be tightly controlled to allow for maximal cell proliferation without inducing apoptosis. Here we discover UBR5 as a novel MYC ubiquitin ligase and demonstrate how it functions as a molecular rheostat to prevent excess accumulation of MYC protein. UBR5 effects on MYC protein stability are independent on N-terminal FBW7 degron of MYC. Endogenous UBR5 inhibition induces MYC protein expression and activates MYC target genes. Moreover, UBR5 governs MYC-dependent phenotypes in vivo in Drosophila. In cancer cells, UBR5-mediated MYC protein suppression diminishes cell killing activity of cancer therapeutics. Further, we demonstrate that UBR5 dominates MYC protein expression at the single-cell level in human basal-type breast cancer tissue. Myc and Ubr5 are co-amplified in MYC-driven human cancer types, and UBR5 controls MYC-mediated apoptotic threshold in co-amplified basal type breast cancer cells. In summary, UBR5 is a novel MYC ubiquitin ligase and an endogenous rheostat for MYC protein expression in vivo. Clinically, expression of UBR5 may be important for protection of breast cancer cells from drug-induced, and MYC-dependent, apoptosis.

cancer biology↗