IsoPlexis is the new standard for single-cell functional biomarkers

Our leap in innovation has allowed us to be the only company able to detect the range of functional extracellular proteins per single cell.

Our need-to-have solution is solving the urgent challenges involved in tuning the complexity of tumor-immune interaction.

TIMELINE

Single-cell Functional
Proteomics Reveals Insights

IsoPlexis has developed the only technology able to phenotype each immune cell by its extracellular function. We call this functional phenotyping.

We’re answering critical challenges by functionally defining each T cell, monocyte, and NK cell. Our work is published in leading journals such as Nature, Cancer Discovery, JITC, Blood, and more.

Chapter 01 / 05
01
Key Takeaways
Polyfunctional cells secrete many different cytokines simultaneously and have correlated with outcome in multiple studies
Only IsoPlexis can detect the true functional single-cell cytokine secretions correlative to response
Overview

Our Leap in Innovation

IsoPlexis’ breakthrough single-cell functional phenotyping technology tells you exactly what each immune cell functionally produces with a range of 30+ cytokines. This leap in innovation allows researchers to phenotype each immune cell by its extracellular function.

OUR UNIQUE BIOLOGY

Why Understanding Single Cell
Function is Critical

Cytokine function dictates the response of each cell to the tumor:

  • CD4 T cells: Cytokines orchestrate the rest of the cells to attack the tumor
  • CD8 T cells & NK Cells: Cytokines deliver the payload to the tumor
  • Macrophages & T-Reg: Cytokines drive immune suppression in the tumor
Immune
Cells
Immune
Cells
Tumor

Directly Detect the Functional Cytokines
of Each Immune Cell

Each immune cell is different, thus the complete characterization of each individual cell is critical.

While transcriptome is measured via RNA seq, and surface phenotype is measured via flow cytometry, the complete cellular definition is incomplete without measuring extracellular cytokines that are doing the work in tumor immunology.

For single cells, we’re filling a gap as the only technology to do something very, obviously critical — directly detecting the functional cytokines that matter.

1
1
Functional Phenotype
SC Secretome
2
Functional Phenotype
SC Intracellular Proteome
3
Surface Phenotype
Flow Cytometry
4
Transcriptomic Definition
RNA Seq
A breakthrough Technological innovation

IsoPlexis' Innovation in Cellular
Analysis: the IsoCode Chip

Our proprietary & patented “Proteomic Barcoded” IsoCode Chip, named the Scientist’s number #1 innovation, works by detecting 30+ cytokines per cell, measuring the functional phenotype of each immune cell.

This breakthrough technical innovation allows for complete single-cell functional characterization — something that was not possible before.

Chapter 02 / 05
02
Key Takeaways
ELISA & Flow Cytometry can estimate a sample’s cytokine secretion, but cannot detect the highly functional cell subsets that correlate to in vivo response
RNA-Seq can estimate function as well, but only shows a 0.4 correlation from RNA to protein
Only IsoPlexis can detect the highly-potent single-cell subsets by capturing the range of cytokines (32+) from each cell
Overview

What’s Unique & Innovative about
IsoPlexis Single-Cell Functional Phenotyping?

Unlike IsoPlexis, these traditional methods are unable to detect the functional biological drivers that can lead to biomarker breakthroughs.

The IsoPlexis Difference
IsoPlexis Difference
True cytokines from each cell
TRUE SINGLE T CELL BIOLOGY

IsoPlexis’ Breakthrough Technology

Our technology addresses the core problem that immune cells, which play a major role in cancer immunology, are heterogenous.

IsoPlexis enables researchers to fine-tune their immunotherapeutic candidates and identify what differentiates immune cell potency, cell product toxicity, and functional differences between patient responders and non-responders to immunotherapies.

COMPARISON

Traditional Methods vs IsoPlexis

Bulk Serum ELISA Averaging
Bulk Averaging
Traditional Method
Bulk Serum ELISA Averaging

Data shows that the specific cytokines produced by each heterogenous immune cell matters, yet bulk averaging masks these cellular differences.

Bulk ELISA averages serum protein information from all cells. In a variety of immunotherapy trials, stratification of responders from non-responders is not possible with bulk cytokine analysis.

Single Cell Cytokine Specificity
The IsoPlexis Difference
IsoPLexis
IsoPlexis
Our single-cell functional proteomics uniquely reveal correlates that lead to biomarker breakthroughs by detecting what each immune cell secretes in a highly multiplexed manner.
  • Captures the true single-cell protein secretion with 30+ plex full range of function
  • Detects how immune cells proteomically perform amongst a heterogenous system
  • Reveals functional biological drivers that identify patient differences
Flow Cytometry & RNA
Estimates
Traditional Method
Flow Cytometry Based Systems

Flow cytometry “surface phenotypes” for many surface markers or detects a few (1-4) blocked cytokines within the cell without detecting what’s truly being secreted.

Blocking cytokines within cells increases the risk of spectral overlap and reduces the ability to multiplex cytokines reliably.

RNA-Seq based methods estimate protein function, yet are not protein measurements, with citations showing 0.4 correlation from RNA to protein1.

Reference [1]: Vogel at al. Nature Reviews Genetics (2012)

True, Highly Multiplexed Cytokines Released
The IsoPlexis Difference
IsoPLexis
IsoPlexis

Our unique functional phenotyping is directly measuring the work performed by each T cell, macrophage, or NK cell.

Each IsoCode Chip is proteomically barcoded to provide a quantitative readout of 32 cytokines per cell.

This unique functional phenotyping provides correlative clinical & pre-clinical immune biomarkers for differentiating mechanistic information in the competitive clinical world of immuno-oncology.

Chapter 03 / 05
03
Key Takeaways
IsoSpeak enables researchers to make sense of complex single-cell data by automatically generating intuitive and meaningful visualizations
Researches can save precious time by using the in-software sample annotations & project organization for immunotherapy workflows
IsoSpeak helps you get answers faster, with detailed informatics & statistics on cellular potency and durability, all at your fingertips
Overview

Single-Cell Cytokine
Visualizations & Insights

IsoSpeak is the first automated informatics suite for advanced, functional, single-cell mapping and visualizations which can reveal correlative insights into true, functional immune biology.

Researchers use IsoSpeak to make sense of complex single-cell data by generating meaningful visualizations with the click of a button.

IsoSpeak’s push-button user interface and advanced automation allows users to visualize, target, and utilize data from direct, functional cytokine profiling of single cells.

SOFTWARE

IsoSpeak Data
Visualizations

Researchers can use IsoSpeak to automatically generate a unique set of cellular visualizations, sample annotations, and report-ready single-cell readouts.

Chapter 04 / 05
04
Key Takeaways
We've worked hand-in-hand with the pioneers in immunology to discover correlates that were previously hidden
Our discoveries continue to be published in leading journals such as Nature, Cancer Discovery, JITC, and Blood
The IsoLight is the new standard found throughout the most innovative labs around the world
Overview

Publications
& Press

IsoPlexis' functional phenotyping is critical to finding what’s really happening in patients — as shown in 40+ correlative cancer immunology cases. Our functional phenotypes are illustrating the large patient differences between different types of patient responses that are undetectable on other platforms.

INSIGHTS

IsoPlexis is Uniquely Revealing the Biological Drivers of Response and Progression

IsoPlexis' functional phenotyping has been published and presented by leaders in various clinical and preclinical studies.

Additionally, we’ve translated that insight to accelerate pre-clinical development — illustrating large differences leading to choice.

Cancer
Immunology
Single Cell Solution Cell Type Predictive in Indication & Related Statistics
SC-PFS (H)
T cell (H)
Peg-IL2 in Melanoma pre-clinically.2
SC-PFS (H)
T cell (H)
Melanoma response (ipi/nivo)
P = 0.029
SC-PFS (H)
T cell (H)
AML response in checkpoint.
P = 0.0288
SC-PFS (H)
T cell (H)
Pancreatic cancer survival
P = 0.001
SC-PFS (H)
T cell (H)
Pre-clinical NP cancer vaccine efficacy
P = 0.003
SC-IM (M)
Monocyte (H)
Monocyte Tumor suppression correlates
Cell Therapies
Single Cell Solution Cell Type Predictive in Indication & Related Statistics
SC-PFS (H)
CAR-T (H)
Trimeric CAR in BCMA / Myeloma
SC-PFS (H)
CAR-T (H)
Pre-infusion CAR-T in DLBCL.
P = 0.012
SC-PFS (M)
NK cell (M)
Pre-clinical correlates with in vivo mouse studies in TCR & NK cell Therapy
Immune Inflammation
Single Cell Solution Cell Type Predictive in Indication & Related Statistics
SC-PFI (H)
Monocyte (H)
MS progression.
P = 0.035
SC-PFI (H)
CD34+ (H)
PV vs. ET (myelofibrosis).
P = 0.018
SC-PFI (H)
T cell (H)
Neuroinflammation
PUBLICATIONS & PRESS

Innovative and Impactful

Our technology helps researchers around the world
push the boundaries in cancer immunology

Press Type
2020
Press Type

Cancer Immunology

Parisi et al., "Persistence of adoptively transferred T cells with a kinetically engineered IL-2 receptor agonist", Nature Communications, 2020

Press Type
2019
Press Type

Cellular & Regenerative Medicine

Schmidts A, et al., "Rational design of a trimeric APRIL-based CAR-binding domain enables efficient targeting of multiple myeloma", Blood Advances, 2019

Press Type

Cancer Immunology

Daver N, et al., "Polyfunctionality determined by single-cell proteomics of bone marrow-derived CD4 T cells from patients with acute myeloid leukemia identifies patients responding to anti-PD-1-based therapy and discovers profound T cell defect in mutant TP53 disease.", Presented at the AACR Conference, 2019

Press Type

Solid Tumor Signaling

Chen Y-P, et al., "SIRPα expression delineates subsets of intratumoral monocyte/macrophages with different functional and prognostic impact in follicular lymphoma", Blood Cancer Journal, 2019

Press Type
IsoPlexis Wins $2M SBIR Grant From NCI
Press Type
IsoPlexis Wins $4M SBIR Grant From NCI
Press Type

Cellular & Regenerative Medicine

Liu D, Paczkowski P, et al., "Single-Cell Multiplexed Proteomics on the IsoLight Resolves Cellular Functional Heterogeneity to Reveal Clinical Responses of Cancer Patients to Immunotherapies", Biomarkers for Immunotherapy of Cancer - Springer, 2019

Press Type
2018
Press Type

Cellular & Regenerative Medicine

Zhu H, et al., "Notch Activation Rescues Exhaustion in CISH-Deleted Human iPSC-Derived Natural Killer Cells to Promote in vivo Persistence and Enhance Anti-Tumor Activity", Blood, 2018

Press Type

Cellular & Regenerative Medicine

Rossi J, et al., "Preinfusion Polyfunctional Anti-CD19 Chimeric Antigen Receptor T Cells Associate with Clinical Outcomes in NHL.", Blood, 2018

Press Type

Cancer Immunology

Mackay S, et al., "Single-Cell Cytokine Profiling of Tumor-Infiltrating T Cells to Measure Patient Responses to Anti-PD-1 Therapy.", Presented at TRCCC Annual Meeting, 2018

Press Type

Cellular & Regenerative Medicine

Zhou J, et al., "A Kinetic Investigation of Interacting, Stimulated T Cells Identifies Conditions for Rapid Functional Enhancement, Minimal Phenotype Differentiation, and Improved Adoptive Cell Transfer Tumor Eradication.", PLoS One 13 (1), 2018

Press Type

Inflammation & Autoimmune Response

Fujiwara M, et al., "Enhanced TLR2 Responses in Multiple Sclerosis.", Clinical and Experimental Immunology, 2018

Press Type
2017
Press Type

Inflammation & Autoimmune Response

Fan R, et al., "Novel Technologies to Query Single Cells in Hematopoiesis. ", Presented at the ASH Annual Meeting, 2017

Press Type

Cellular & Regenerative Medicine

Xue Q, et al., "Single-Cell Multiplexed Cytokine Profiling of CD19 CAR-T Cells Reveals a Diverse Landscape of Polyfunctional Antigen-Specific Response.", Journal for ImmunoTherapy of Cancer, 5:85., 2017

Press Type

Cellular & Regenerative Medicine

Mackay S, et al., "Single-Cell Cytokine Profiling of Tumor-Infiltrating T Cells to Measure Patient Responses to Anti-PD-1 Therapy.", Journal of Clinical Oncology, 35 (9), Suppl., 2017

Press Type

Solid Tumor Signaling

Su Y, et al., "Single-Cell Analysis Resolves the Cell State Transition and Signaling Dynamics Associated with Melanoma Drug-Induced Resistance.", Journal of Clinical Oncology, 35 (9), Proc., 2017

Press Type

Solid Tumor Signaling

Jayatilaka H, et al., "Synergistic IL-6 and IL-8 Paracrine Signalling Pathway Infers a Strategy to Inhibit Tumour Cell Migration.", Nature Communications, 8, 15584., 2017

Press Type

Vaccines & Infectious Disease

Zhou J, et al., "CD8+ T-Cell Mediated Anti-Malaria Protection Induced by Malaria Vaccines; Assessment of Hepatic CD8+ T Cells by SCBC Assay.", Human Vaccines & Immunotherapeutics, 13 (7), 1625-1629., 2017

Press Type
2016
Press Type

Solid Tumor Signaling

Wei W, et al., "Single-Cell Phosphoproteomics Resolves Adaptive Signaling Dynamics and Informs Targeted Combination Therapy in Glioblastoma.", Clinical and Experimental Immunology, Cancer Cell, 29:4 563-573., 2016

Press Type

Solid Tumor Signaling

Poovathingal SK, et al., "Critical Points in Tumorigenesis: A Carcinogen-Initiated Phase Transition Analyzed via Single-Cell Proteomics.", Clinical and Experimental Immunology, Small, 12 (11), 1613-6829., 2016

Press Type

Solid Tumor Signaling

Xue M, et al., "Supramolecular Probes for Assessing Glutamine Uptake Enable Semi-Quantitative Metabolic Models in Single Cells.", Clinical and Experimental Immunology, Journal of the American Chemical Society, 138 (9), 3085-3093., 2016

Press Type
2015
Press Type

Solid Tumor Signaling

Kleppe M, et al., "JAK-STAT Pathway Activation in Malignant and Non-Malignant Cells Contributes to MPN Pathogenesis and Therapeutic Response.", Cancer Discovery, 5 (3), 316-31., 2015

Press Type

Vaccines & Infectious Disease

Xue Q, et al., "Analysis of Single-Cell Secretion Reveals a Role for Paracrine Signaling in Coordinating Macrophage Response to TLR4 Stimulation.", Science Signaling, 8, 381., 2015

Press Type

Solid Tumor Signaling

Xue M, et al., "Chemical Methods for the Simultaneous Quantitation of Metabolites and Proteins from Single Cells.", Journal of the American Chemical Society, 137 (12), 4066–4069., 2015

Press Type

Vaccines & Infectious Disease

Lu Y, et al., "Highly Multiplexed Profiling of Immune Effector Functions Reveals Deep Functional Heterogeneity in Response to Pathogenic Ligands.", Proc. Natl. Acad. Sci., 112 (7), 607-615., 2015

Press Type
2014
Press Type

Solid Tumor Signaling

Kravchenko-Balasha N, et al., "Glioblastoma Cellular Architectures are Predicted Through the Characterization Of Two-Cell Interactions.", Proc. Natl. Acad. Sci., 111, 6521- 26., 2014

Press Type

Inflammation & Autoimmune Response

Lin L, et al., "Human NK Cells Licensed by Killer Ig Receptor Genes have an Altered Cytokine Program that Modifies CD4+ T Cell Function.", Journal of Immunology, 193, 940-9., 2014

Press Type

Vaccines & Infectious Disease

Zhao JL, et al., "Conversion of Danger Signals into Cytokine Signals by Hematopoietic Stem and Progenitor Cells for Regulation of Stress-Induced Hematopoiesis.", Cell Stem Cell, 14(4), 445-459., 2014

Press Type

Solid Tumor Signaling

Elitas M, et al., "A Microchip Platform for Interrogating Tumor-Macrophage Paracrine Signaling at the Single-Cell Level.", Lab on a Chip, 14, 3582., 2014

Press Type

Solid Tumor Signaling

Elitas M, et al., "A Microchip Platform for Interrogating Tumor-Macrophage Paracrine Signaling at the Single-Cell Level.", Lab on a Chip, 14, 3582., 2014

Press Type
2013
Press Type

Cellular & Regenerative Medicine

Ma C, et al., "Multifunctional T Cell Analyses to Study Response and Progression in Adoptive Cell Transfer Immunotherapy.", Cancer Discovery, 3, 418., 2013

Press Type

Solid Tumor Signaling

Wei W, et al., "Hypoxia Induces a Phase Transition within a Kinase Signaling Network in Cancer Cells.", Proc. Natl. Acad. Sci., 110 (15)., 2013

Press Type

Solid Tumor Signaling

Kwak M, et al., "Single-Cell Protein Secretomic Signatures as Potential Correlates to Tumor Cell Lineage Evolution and Cell-Cell Interaction.", Frontiers in Oncology, 3:10., 2013

Press Type

Vaccines & Infectious Disease

Lu Y, et al., "High-throughput Secretomic Analysis of Single Cells to Assess Functional Cellular Heterogeneity.", Analytical Chemistry, 85 (4), 2548– 2556., 2013

Press Type

Solid Tumor Signaling

Ma C, et al., "Single Cell Functional Proteomics for Assessing Immune Response in Cancer Therapy: Technology, Methods, and Applications.", Frontiers in Oncology, 3:133., 2013

Press Type
2012
Press Type

Solid Tumor Signaling

Wang J, et al., "S Quantitating Cell-Cell Interaction Functions with Applications to Glioblastoma Multiforme Cancer Cells.", Nano Letters, 12 (12), 6101-6106., 2012

Press Type

Vaccines & Infectious Disease

Shi QH, et al., "Single Cell Proteomic Chip for Profiling Intracellular Signaling Pathways in Single Tumor Cells.", Proc. Natl. Acad. Sci., 109 (2), 419-424., 2012

Press Type
2011
Press Type

Cellular & Regenerative Medicine

Ma C, et al., "A Clinical Microchip for Evaluation of Single Immune Cells Reveals High Functional Heterogeneity in Phenotypically Similar T Cells.", Nature Medicine, 17, 738-743., 2011

Press Type

Vaccines & Infectious Disease

Shin YS, et al., "Protein Signaling Networks from Single Cell Fluctuations and Information Theory Profiling.", Biophysical Journal, 100, 2378-2386., 2011

Press Type
2010
Press Type

Solid Tumor Signaling

Shin YS, et al., "Chemistries for Patterning Robust DNA Microbarcodes Enable Multiplex Assays of Cytoplasm Proteins from Single Cancer Cells.", hem. Phys. Chem, 11 (14), 3063-3069., 2010

Our Biology

The New Standard in
Single-Cell Biology

We help researchers around the world accelerate the next generation of cancer immunotherapy with functional immunology.

"Quality assays are mainly descriptive with some objective parameters like cytokine production, cytotoxicity, and proliferation. Only recently, with PSI… can we start to differentiate products."
Marco L Davila
Moffitt Cancer Center
"As a cancer research center with a key focus on CAR-T and other cell therapies, we feel that IsoPlexis will enable us to better characterize response and potentially predict whether cancer patients will respond to CAR-T therapy before treatment."
Christine Brown
City of Hope
"Current assays that rely on single-plex ELISA or even multiparametric flow cytometry don’t give you the level of resolution that the IsoPlexis platform can provide."
John Rossi
Kite Pharma
Chapter 05 / 05
05

The New Standard for
Single-Cell Functional Biomarkers

Explore our award-winning IsoLight System.