Tumor Region Isolation
Tumor Region Isolation - Related Videos
04:23
Real-Time Analysis of Resident T-cell Migration in Different Tumor Regions Using Confocal Microscopy
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2025
This video describes the imaging of resident tumor-infiltrating CD8 T cells labeled with fluorescently coupled antibodies within human lung tumor slices. This technique permits real-time analyses of CD8 T cell migration using confocal microscopy.
Isolation of Immune Cells from Primary Tumors
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Cited by 18 •
2012
In this report, we describe a protocol for isolating highly purified populations of leukocytes that infiltrate tumors. This protocol is adapted from the Miltenyi Biotech protocol to enhance yield and purity for isolating cells from complex tumor tissue.
09:26
Isolation of Specific Genomic Regions and Identification of Associated Molecules by enChIP
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Cited by 4 •
2016
The identification of molecules associated with specific genomic regions of interest is required to understand the mechanisms of regulation of the functions of these regions. This protocol describes procedures to perform engineered DNA-binding molecule-mediated chromatin imunoprecipitation (enChIP) for identification of proteins and RNAs associated with a specific genomic region.
10:15
Isolation and Characterization of Neutrophils with Anti-Tumor Properties
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Cited by 46 •
2015
Neutrophils play an important role not only in host defense against invading microorganisms, but are also involved in the immune surveillance of tumor cells. Here, we describe techniques related to the isolation of neutrophils with anti-tumor properties and methods for monitoring anti-tumor neutrophil function in vitro and in vivo.
04:31
Side Population Assay: A Method to Isolate Side Population of Tumor Cells from Zebrafish
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2023
The following protocol describes a method for isolating the side population of T-cell Acute Lymphoblastic Leukemia (T-ALL) tumor cells, consisting of stem cells, from an adult Zebrafish. The side population lacks prominent cell markers and hence we use Hoechst 33342 dye efflux assay to isolate them.
FAQs
The central analytical value is the ability to compare neighboring tumor areas rather than treating the specimen as biologically uniform. Separate regions may differ in tumor-cell states, stromal composition, gene expression, mutations, or treatment response. Examining these contrasts links local tissue architecture to molecular and cellular behavior, making intratumoral heterogeneity experimentally measurable.
Histologic or imaging guidance determines which areas can be distinguished and selected for downstream study. This guidance connects the material removed from a section with the tissue features that motivated its selection, such as a spatially distinct region. That link is important because molecular or pathological findings can then be interpreted in relation to the tumor’s local architecture.
Analyzing isolated regions can reveal contrasts that may be obscured when findings are interpreted across a tumor as a whole. The comparison is not limited to malignant cells; it can include stromal composition, cellular states, gene expression, mutations, and treatment response. Consequently, the method helps distinguish region-associated signals from patterns that appear uniform when spatially distinct material is considered together.
A typical workflow begins with tissue sectioning, followed by histologic or imaging review to identify regions of interest. The selected area is then removed by targeted excision or microdissection, and the collected material is reserved for molecular, cellular, or pathological analysis. Keeping selection and collection tied to the original section allows each region to be examined independently.
Microdissection or targeted excision is most useful when the research question depends on analyzing a particular tissue area rather than an undifferentiated specimen. Region selection can focus comparisons on spatially distinct portions of the tumor, enabling investigators to ask whether local differences correspond to distinct cell states, stromal features, molecular profiles, or responses to treatment.
Comparing isolated tumor regions supports biomarker discovery by connecting candidate signals with defined tissue locations. A marker or molecular pattern can be examined alongside the region’s cellular and architectural context, rather than considered only as a specimen-wide result. This can improve interpretation of how tumor organization relates to progression and may highlight region-associated features relevant to therapeutic resistance.
In cancer research, the approach is especially informative for studying disease progression and therapeutic resistance because these outcomes can be related to local differences within the tumor. Researchers can compare regions for mutations, gene expression, tumor-cell states, or stromal composition, then interpret the findings against the spatial architecture. The resulting analysis supports more precise interpretation of tumor biology.