Secretome Analysis
Secretome Analysis - Related Videos
09:14
Human Adipose Tissue Micro-fragmentation for Cell Phenotyping and Secretome Characterization
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Cited by 11 •
2019
Here, we present human adipose tissue enzyme-free micro-fragmentation using a closed system device. This new method allows the obtainment of sub-millimeter clusters of adipose tissue suitable for in vivo transplantation, in vitro culture, and further cell isolation and characterization.
15:04
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
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Cited by 46 •
2009
This article describes a novel protocol and reagent set designed for sensitive measurement of neurotoxic effects of compounds and treatments on co-cultures of neurons and astrocytes using high content analysis. Results demonstrate that high content analysis represents an exciting novel technology for neurotoxicity assessment.
10:39
Automated Analysis of Intracellular Phenotypes of Salmonella Using ImageJ
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Cited by 3 •
2022
Salmonella invades and replicates inside intestinal epithelial cells both in Salmonella-specific vacuoles and free in the cytosol (hyper-replication). A high-throughput fluorescence microscopy-based protocol is described here to quantify the intracellular phenotypes of Salmonella by two complementary image analyses through ImageJ, reaching single-cell resolution and scoring.
11:16
A Hydroponic Co-cultivation System for Simultaneous and Systematic Analysis of Plant/Microbe Molecular Interactions and Signaling
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Cited by 6 •
2017
The described hydroponic cocultivation system supports intact plants with metal mesh screens and cocultivates them with bacteria. Plant tissue, bacteria, and secreted molecules can then be separately harvested for downstream analyses, simultaneously allowing for the molecular responses of both plant hosts and interacting microbes or microbiomes to be investigated.
11:24
High-throughput Imaging and Analysis Workflow for Evaluating Skin Cell Phenotypes and Proliferation States in Tissue Samples
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Cited by 1 •
2025
The combination of iterative-bleaching-extends-multiplexity (IBEX) and a commercial nucleotide labeling assay (Click-iT EdU) enables the detection and categorization of dividing cell types in highly dynamic processes in fixed frozen murine tissue sections. Furthermore, a novel open-source image processing pipeline provides high-throughput image acquisition and analysis.
FAQs
Secretome profiles act as molecular readouts of communication between neural cells and their surroundings. Proteins, peptides, metabolites, and other released molecules can represent different functional signals, so examining them together broadens interpretation beyond a single factor. In neuroscience, this perspective connects extracellular composition with synaptic regulation, neuroinflammation, and tissue repair.
Combining molecular classes can provide a broader account of extracellular signaling than measuring one analyte alone. Proteins and peptides may contribute information about cell communication, while metabolites add another molecular dimension. This integrated view can help researchers characterize functional changes and identify patterns associated with neural interaction or disease.
Identifying whether released molecules come from neurons, glial cells, or neural stem cells helps link a measured profile to a particular cellular context. That distinction matters because the same extracellular sample may contain signals relevant to synaptic regulation, neuroinflammation, or tissue repair. Cell-type-aware interpretation therefore strengthens conclusions about communication and potential therapeutic relevance.
During Secretome Analysis, conditioned media is collected, cells and debris are removed, released components are enriched, and the resulting material is analyzed. Each stage narrows the sample toward extracellular molecules rather than intact cellular material. This workflow supports cleaner identification or quantification and makes downstream comparisons of neural-cell secretions more interpretable.
Proteomics, biochemical assays, and complementary analytical methods answer overlapping but not identical questions about a secretome. They can be used to identify released proteins, peptides, metabolites, or other molecules, and to quantify detected components. Using these approaches gives researchers both a composition-oriented view and measurements that support comparison among neural-cell conditions or experimental samples.
Secretome Analysis can help characterize signals exchanged by neurons, glial cells, and neural stem cells in contexts involving synaptic regulation, neuroinflammation, and tissue repair. Secretome profiles may also reveal disease-associated biomarkers, clarify mechanisms of cell interaction, and support development of cell-based therapies or regenerative strategies. These applications connect molecular measurements with both disease research and therapeutic development.