Immune Score Analysis
Immune Score Analysis - Related Videos
04:38
Analysis of Immune Cells in Mouse Nervous Tissues Using Flow Cytometry
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2025
Source: Hidmark, A. S., et al. Analysis of Immune Cells in Single Sciatic Nerves and Dorsal Root Ganglion from a Single Mouse Using Flow Cytometry. J. Vis. Exp. (2017). This video demonstrates the use of flow cytometry to analyze immune cells in mouse sciatic nerves and dorsal root ganglia (DRGs). The process involves labeling immune cells with fluorophore- and biotin-tagged antibodies, stabilizing and permeabilizing the cells, and using fluorescent markers to detect cell-surface and nuclear...
08:35
Qualitative and Quantitative Analysis of the Immune Synapse in the Human System Using Imaging Flow Cytometry
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Cited by 9 •
2019
Here, we describe a complete workflow for the qualitative and quantitative analysis of immune synapses between primary human T cells and antigen-presenting cells. The method is based on imaging flow cytometry, which allows the acquisition and evaluation of several thousand cell images within a relatively short period of time.
08:25
Mass Cytometry Analysis of Systemic and Local Immune Responses in Hepatocellular Carcinoma
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2025
This protocol outlines a comprehensive mass cytometry (cytometry by time-of-flight [CyTOF]) analysis method for evaluating both systemic and local immune responses in hepatocellular carcinoma (HCC). The approach aims to provide insights into the immune landscape of HCC, offering a deeper understanding of the tumor microenvironment and the associated immune mechanisms.
01:06
Introduction to z Scores
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2023
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one. z scores help...
01:17
z Scores and Area Under the Curve
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2023
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of zero.
FAQs
The analysis combines signals such as immune-cell signatures, gene-expression patterns, or other biomarkers within a scoring model. These inputs are treated as indicators of immune-related activity or cellular presence rather than as isolated findings. The resulting value provides a standardized way to summarize complex biological measurements and compare immune status across samples.
Its meaning depends on the assay used to generate the measurements, the reference data underlying the model, and the method used to validate the score. A numerical value cannot be interpreted independently of those choices. Scores from different analytical systems may therefore represent related but nonidentical aspects of immune activity.
The interpretation depends on which measurements the model emphasizes. A score based on immune-cell signatures may primarily reflect the presence or estimated abundance of immune cells, whereas gene-expression patterns or other biomarkers may capture a broader immune-related state. Examining the input features and scoring framework is essential before assigning a biological meaning.
Differences can reflect variation in immune-cell signatures, gene-expression patterns, or other measured biomarkers within the samples. The comparison also depends on applying the same assay, scoring model, and reference framework to both groups. Using consistent analytical conditions allows observed differences to be interpreted as variation in immune-related status rather than unexplained methodological differences.
A typical workflow begins with molecular or clinical measurements from biological samples, followed by selection of relevant immune signatures, expression patterns, or biomarkers. These data are entered into a scoring model, and the resulting values are compared across patients or tissues. Researchers then interpret the pattern using the assay context and an appropriate validation method.
In cancer research, investigators use these scores to characterize the tumor microenvironment and compare immune responses among patients or tissues. The results can support studies examining associations with prognosis or treatment response. They may also help investigate whether immune-related status has potential relevance to immunotherapy, without establishing clinical utility on its own.
Researchers can compare scores with clinical outcomes or treatment-response measures to investigate associations between immune-related status and disease behavior. Such analyses may identify patterns worth studying in relation to prognosis or immunotherapy. Because the score depends on its assay, reference data, and validation, an observed association should be interpreted as research evidence rather than a universal prediction.