ArticleAdvanced biology2021
Apoptotic Bodies in the Pancreatic Tumor Cell Culture Media Enable Label-Free Drug Sensitivity Assessment by Impedance Cytometry.
Article in Advanced biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Event-Preserving Neural Network Denoising for Impedance Flow Cytometry.Nanomaterials (Basel, Switzerland) · 2026Article
- Apoptotic Bodies: Decoding Their Functional Messages in Physiology and Pathology.Cell biochemistry and function · 2026Review
- Extracellular Vesicles as Mediators and Potential Targets in Combating Cancer Drug Resistance.Molecules (Basel, Switzerland) · 2025Review
- Apoptotic extracellular vesicles: emerging biomarkers for cancer and neurodegenerative disease diagnostics.Frontiers in immunology · 2025Review
- Tailoring of apoptotic bodies for diagnostic and therapeutic applications:advances, challenges, and prospects.Journal of translational medicine · 2024Review
- Liquid Biopsy Instrument for Ultra-Fast and Label-Free Detection of Circulating Tumor Cells.Research (Washington, D.C.) · 2024Article
- Rapid Assessment of Susceptibility of Bacteria and Erythrocytes to Antimicrobial Peptides by Single-Cell Impedance Cytometry.ACS sensors · 2023Article
- Apoptotic bodies: bioactive treasure left behind by the dying cells with robust diagnostic and therapeutic application potentials.Journal of nanobiotechnology · 2023Review
- Supervised learning on impedance cytometry data for label-free biophysical distinction of pancreatic cancer cells versus their associated fibroblasts under gemcitabine treatment.Biosensors & bioelectronics · 2023Article
- Multichannel impedance cytometry downstream of cell separation by deterministic lateral displacement to quantify macrophage enrichment in heterogeneous samples.Advanced materials technologies · 2023Article
- Automated biophysical classification of apoptotic pancreatic cancer cell subpopulations by using machine learning approaches with impedance cytometry.Lab on a chip · 2022Article
- On-chip microfluidic buffer swap of biological samples in-line with downstream dielectrophoresis.Electrophoresis · 2022Article
- Modified Red Blood Cells as Multimodal Standards for Benchmarking Single-Cell Cytometry and Separation Based on Electrical Physiology.Analytical chemistry · 2022Article
- What is the future of electrical impedance spectroscopy in flow cytometry?Biomicrofluidics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The ability to rapidly and sensitively predict drug response and toxicity using in vitro models of patient-derived tumors is essential for assessing chemotherapy efficacy. Currently, drug sensitivity assessment for solid tumors relies on imaging adherent cells or by flow cytometry of cells lifted from drug-treated cultures after fluorescent staining for apoptotic markers. Subcellular apoptotic bodies (ABs), including microvesicles that are secreted into the culture media under drug treatment can potentially serve as markers for drug sensitivity, without the need to lift cells under culture. However, their stratification to quantify cell disassembly is challenging due to their compositional diversity, with tailored labeling strategies currently needed for the recognition and cytometry of each AB type. It is shown that the high frequency impedance phase versus size distribution of ABs determined by high-throughput single-particle impedance cytometry of supernatants in the media of gemcitabine-treated pancreatic tumor cultures exhibits phenotypic resemblance to lifted apoptotic cells and enables shape-based stratification within distinct size ranges, which is not possible by flow cytometry. It is envisioned that this tool can be applied in conjunction with the appropriate pancreatic tumor microenvironment model to assess drug sensitivity and toxicity of patient-derived tumors, without the need to lift cells from cultures.
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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.