Lung Adenocarcinoma Cells
Lung Adenocarcinoma Cells - Related Videos
04:36
Adenocarcinoma Engraftment: A Method to Implant Cancer Cells into the Murine Lungs
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2023
This video describes a method to engraft lung adenocarcinoma cells in murine lungs by preconditioning the airways with fibrosis-inducing agent–bleomycin. This method significantly enhances orthotopic engraftment of lung cancer cells into murine...
06:03
Orthotopic Transplantation of Syngeneic Lung Adenocarcinoma Cells to Study PD-L1 Expression
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Cited by 6 •
2019
Here we describe a minimally invasive syngeneic orthotopic transplantation model of mouse lung adenocarcinoma cells as a time- and cost-reducing model to study non-small cell lung cancer.
05:04
Ultrasound-Guided Implantation: A Technique to Implant Pancreatic Ductal Adenocarcinoma Cells into an Adult Mouse
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2023
This video describes the protocol for ultrasound-guided orthotopic implantation of murine-derived pancreatic ductal adenocarcinoma cells directly into the pancreas of the mouse. This causes less inflammation at the implantation site compared to surgical procedures.
09:47
Isolation of CD146+ Resident Lung Mesenchymal Stromal Cells from Rat Lungs
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Cited by 3 •
2016
This protocol describes an isolation technique for obtaining primary lung resident mesenchymal stromal cells from rats, through the use of enzymatic digestion, density gradient separation, plastic adherence and CD146+ magnetic bead selection.
09:04
Isolation of Mouse Lung Dendritic Cells
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Cited by 17 •
2011
A highly purified preparation of mouse lung dendritic cells is described. Specific emphasis is given to the isolation of conventional dendritic cell subset.
FAQs
Accumulated genetic and epigenetic changes can disrupt the controls that normally regulate cell growth, cell death, and DNA repair. These alterations allow abnormal cells to persist and proliferate rather than responding appropriately to biological signals. Examining this combination of changes helps researchers explain tumor behavior and identify molecular features that may support disease classification or treatment selection.
Three important disruptions involve growth control, programmed cell death, and DNA repair. When these systems no longer function properly, abnormal cells can expand, survive when they should be eliminated, and accumulate additional changes. Studying these linked processes provides a mechanistic basis for understanding why the cells behave aggressively and why their molecular characteristics matter clinically.
The surrounding tumor microenvironment is relevant because these cells do not behave independently of nearby tissue. Their interactions with that environment contribute to invasion into surrounding structures and spread to distant organs. Including microenvironmental interactions in biological studies therefore gives a more complete view of disease progression than examining cell proliferation alone.
Investigators examine these cells in tissue samples and laboratory models. Tissue analysis supports evaluation of diagnostic features and molecular biomarkers, while laboratory models provide a setting for studying cellular behavior and assessing responses to treatments. Using both approaches connects observations from patient material with controlled investigation of mechanisms and therapeutic effects.
Molecular biomarkers can help characterize the disease beyond its visible tissue features. Their analysis contributes to more precise disease classification and can provide information relevant to evaluating targeted therapies, immunotherapies, and conventional treatments. This molecular context supports treatment strategies that are better aligned with the characteristics of an individual patient's cancer.
Laboratory models are useful when researchers need to assess how the cells respond to targeted therapies, immunotherapies, or conventional treatments under investigative conditions. Comparing responses can help characterize treatment sensitivity and support development of personalized strategies. In combination with tissue-based findings, these models contribute to research aimed at improving detection, classification, and therapy selection.