Schedule a Live Demo
IsoSpeak Interactive Tour
DATA VISUALIZATIONS
Start Tour
For the optimal tour experience, please visit this page on your Windows or Mac desktop computer.
Please visit this page on your Windows or Mac Desktop computer to experience the full IsoSpeak Guided Tour.
    • Project Info
    • Data Processing
    • Data Overview
    • Data Visualization
    General
    • No Cells
    • Single-Cell
    • Two-Cell
    • Clear Selected
      Select All
      Average Duplicates
    Conditions
    • Unlabeled
    • CD19
    • NGFR
    • Clear
      All
      Average
    Donors
    • Unlabeled
    • D0001
    • D0005
    • D0006
    • Clear
      All
      Average
    Donor Groups
    • Unlabeled
    • Non-Responders
    • Responders
    • Clear
      All
      Average
    Markers
    • UNLABELED
    • CD4+
    • CD8+
    • Clear
      All
      Average
    Cytokines
    • Clear
    • Secreting
    • All
    • CCL-11
    • GM-CSF
    • GRANZYME
    • IFN-G
    • IL-21
    • IL-22
    • IL-4
    • IL-5
    • IL-17A
    • IL-17F
    • IL-1B
    • IL-9
    • IL-10
    • MCP-4
    • MCP-1a
    • MCP-1B
    • PETFERIN
    • RANTES
    • TGF-B1
    • TGF-B1
    • TGF-B1
    • sCD4DL
    • 456
    • 532
    • 635
    • 751
    • 751
    • t-SNE
    • PF Heatmap
    • PF Overview
    • PF Index
    • PAT-PCA
    • PF Groups
    • Signal Distribution
    t-SNE: Donor Groups
    Responders vs. Non-Responders
    Follow the Data

    This demo data set shows six CD19 CAR-T cell products from three responders and three non-responders.

    Key
    • Non-Responders
    • Responders
    t-SNE: Donor Groups
    Responders vs. Non-Responders
    Follow the Data

    This demo data set shows six CD19 CAR-T cell products from three responders and three non-responders.

    There are clear functional differences between the responders and non-responders.

    But what are those differences?

    Find out in the next t-SNE view.

    Key
    • Non-Responders
    • Responders
    t-SNE: Polyfunctionality
    Compare the Degree of Polyfunctionality
    Follow the Data

    We can see that the responders have the presence of highly polyfunctional CAR-T cells.

    These highly polyfunctional cells have correlated to anti-tumor activity, persistence, and durability in a variety of studies.

    What are the biological drivers of this increased polyfunctionality?

    Find out in the next view.

    Key
    • 5+
    • 4
    • 3
    • 2
    • 1
    • 0
    t-SNE: Dominant Functional Group
    Explore the Secreted Cytokine Profile
    Follow the Data

    The highly polyfunctional subsets of CAR-T cells in the responder groups are driven by a variety of cytokines.

    As shown in this view, we can see that the stimulatory, effector, and chemoattractive cytokines play a dominant role.

    Key
    • Inflammatory
    • Regulatory
    • Chemoattractive
    • Stimulatory
    • Effector
    • Non-secretor
    Heatmap
    Single-Cell Polyfunctional Heatmap
    Follow the Data

    Here you can see that the Responders have more polyfunctional cells than the Non-Responders.

    Key
    • 5%
    • 2.5%
    • 1%
    • 0.5%
    • 0.1%
    Heatmap Key
    PF Overview
    Single-Cell Polyfunctional Overview
    Follow the Data

    It is clear that the percentage of polyfuctional cells in the Responders is much higher than in the Non-Responders.

    Key
    • 2 cytokines
    • 3 cytokines
    • 4 cytokines
    • 5+ cytokines
    CD4 & CD8 Markers
    Polyfunctional Overview
    Follow the Data

    It is clear that the percentage of polyfuctional cells in the Responders is much higher than in the Non-Responders

    Key
    • 2 cytokines
    • 3 cytokines
    • 4 cytokines
    • 5+ cytokines
    PSI
    Single-Cell Polyfunctional Strength Index
    Follow the Data

    Responders have higher polyfunctional immune response driven by primarily stimulatory and effector cytokines

    Key
    • Effector
      Granzyme B, IFN-g, MiIP-1a, Perforin, TNF-a, TNF-b
    • Stimulatory
      GM-CSF, IL12, IL-15, IL-2, IL-21, IL-5, IL-8, IL-9
    • Chemoattractive
      CCL-11, IP-10, MIP-1b, RANTES
    • Regulatory
      IL-10, IL-13, IL-22, IL-4, TGF-b1, sCD137, sCD40L
    • Inflammatory
      IL-17A, IL-17F, IL-1b, IL-6, MCP-1, MCP-4
    Key
    • Effector
      Granzyme B, IFN-g, MiIP-1a, Perforin, TNF-a, TNF-b
    • Stimulatory
      GM-CSF, IL12, IL-15, IL-2, IL-21, IL-5, IL-8, IL-9
    • Chemoattractive
      CCL-11, IP-10, MIP-1b, RANTES
    • Regulatory
      IL-10, IL-13, IL-22, IL-4, TGF-b1, sCD137, sCD40L
    • Inflammatory
      IL-17A, IL-17F, IL-1b, IL-6, MCP-1, MCP-4
    PSI
    Single-Cell Polyfunctional Strength Index
    Follow the Data

    Responders have higher polyfunctional immune response driven by primarily stimulatory and effector cytokines

    Key
    • Effector
      Granzyme B, IFN-g, MiIP-1a, Perforin, TNF-a, TNF-b
    • Stimulatory
      GM-CSF, IL12, IL-15, IL-2, IL-21, IL-5, IL-8, IL-9
    • Chemoattractive
      CCL-11, IP-10, MIP-1b, RANTES
    • Regulatory
      IL-10, IL-13, IL-22, IL-4, TGF-b1, sCD137, sCD40L
    • Inflammatory
      IL-17A, IL-17F, IL-1b, IL-6, MCP-1, MCP-4
    Secreting vs. All
    Single-Cell Polyfunctional Strength Index
    Follow the Data

    Responders have higher polyfunctional immune response driven by primarily stimulatory and effector cytokines

    Secreting vs. All
    Single-Cell Polyfunctional Strength Index
    Follow the Data

    The PSI metric helps you predict that the patients in Therapy 1 are going to respond better to this particular therapy than Therapy 2 patients.