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CODEX

Ultrahigh-Multiplex Spatial Profiling Solution

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Hyperion

CODEX

CODEX was developed to overcome the limitations of existing IHC.
Multiplex IHC is an experimental method that can confirm the expression of more than 100 biomarkers on one tissue slide.
It is possible to check the expression of various biomarkers on a single tissue slide and conduct comprehensive research on cell composition, cell function and state, and cell-cell interaction.
CODEX analysis is performed using DNA barcoding and uses antibodies conjugated to unique oligonucleotide sequences.
By using a target specific barcode called dye-labelled reporter, it is possible to stain more than 100 biomarkers by repeating the labeling cycle by dyeing three colors of fluorescence in one cycle.

CODEX

  • Staining more than 100 biomarkers on tissue slides 1 chapter.
  • Mapping of Millions of Cells Through Diverse Panel Combinations.
  • Single cell resolution analysis.
  • Cell phenotyping using marker staining combinations.
  • Cellular Neighborhood Analysis Utilizing Spatial Information of Cells.

Process

Staining

2 days

  • FFPE or FF tissue section
  • Antigen Unmaking
  • Tissue staining
  • Primary antibody incubation
  • Reporter plate preparation
  • PCF run

Image

1-3 days per slide

  • Continuous speed improvements
  • Workflow simplification
  • Consistent imaging methods

Analyze

4 months

  • Proprietary data compression
  • Solutions serve every user need
  • Consistent image analysis methods
  • Step 1 : Sample preparation
  • Step 2 : Tissue staining (primary antibody)
  • Step 3 : Reporter plate preparation
  • Step 4 : PCF run
  • Step 5 : Data analysis

Profiling panels type

Immune Panel – 31 Markers

STEP core panel

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

CD4

CD68

CD20

CD11c

CD8

HLA-DR

CD3e

CD44

CD45

HLA-A

CD14

Ki67

Pan-CK

CD56

CD45RO

Helper T cells

Macrophages

B cells

Dendritic cells

Cytotoxic T cells

APCs (MHC II)

T cells

Activated T cells

Immune cells

MHC I

Monocytes

Proliferating cells

Tumor cells

NK cells

Memory T cells

Advanced Immune module

1

2

3

4

CD163

FoxP3

Granzyme B

CD21

M2 Macrophages

Regulatory T cells

Activated T cells / NK cells

Dendritic cells, mature B cells, FDCs

Immune activation module

1

2

3

4

5

PD-1

LAG-3

ICOS

PD-L1

IDO1

Checkpoint receptor

Checkpoint receptor

Checkpoint receptor

Checkpoint ligand

Multifunctional/Immune inhibitory

Structural module

1

2

3

4

5

6

7

E-cadherin

SMA

Vimentin

Collagen IV

CD31

CD34

Podoplanin

Epithelial cells

Vascular, Fibroblasts, Smooth muscle

Cyto-structures

Extracellular matrix

Vascular structures

Vascular structures

Lymphatics

Organ Categories

Brain

Brain

MAP2
LMX1A
FOXA2 or HNF-3β
N-Cadherin
NESTIN
NURR1
OTX2
FOXG1
PAX6
PLZF
Synapsin-1
Tyrosine hydroxylase
NeuN
NG2
GFAP
NF-M
Lyz
DPP10
Nestin
Neuronal nuclei
Neuronal Class III β-Tubulin
PAX6
Peripherin
Alpha Synuclein
SST
SOX2

Kidney

Kidney

WT1
PODXL
LTL
NPHS1

Liver

Cholangiocarcinoma

Hep Par1
CEA (1C7)
AFP
CA19-9

Liver

COL-1
KRT7
PDGFR
BSEP
ALB

Salivary

Salivary

CD24
Cytokeratin 5
Cytokeratin 7
Cytokeratin 14
Cytokeratin 19
Na+/K+-ATPase α1
NKCC1
CD44
Amylase
Aquaporin 5
c-Kit
S100A8
ITGA6
MIST-1
NGFR
CD166

Pancreas

Pancreas

annexin-13 (ANXA13)
ANXA1
ANXA10
TP53

Pancreatic Cancer

EGFR
CD73

Breast Cancer

Breast Cancer

HER2
TTF1

Cardiac

Cardiac

a-actin
cTnT
GJA1
CD31
aSMA

Cornea

Cornea

CDH2 (N-cadherin)
E-cadherin
Vimentin
ATP1A1
ZO-1

Gastritis

Gastritis

MUC6
LGR5

Lung

Lung Cancer

TTF-1/NKX2-1
XBP1s
p40 – DeltaNp63
BIG2
phospho-IRE1 (Ser724)
Cytokeratin 5
Cytokeratin 6
Cytokeratin 7

Skin

Skin

Loricrin
Vimentin
Cytokeratin 5
Cytokeratin 10
Cytokeratin 15
Cytokeratin 17
MMP1
Melanoma gp100
MiTF
Tyrosinase
PDGFRα
SOX2
P-cadherin
Ki-67
Human Nephronectin
E-Cadherin
TFAP2A
p75NTR
Collagen IV
LHX2
PMEL
TUBB3
LEF1
GFRA1
SOX10
ZO-1
Occludin

Skin_Hair

LHX2
SOX2
PDGFRa
CK17
CK5
PCAD

Intestine

Colon

CK20
β-catenin
CDX2
SMOC-2 (F-11)
Ets-2 (E-5)
DNA-PKCS(G-12)
EphB3(7E5)
Cytokeratin 20
Lysozyme
Lefty (F-11)
Mucin2 (F-2)
EphB2
CD24
Chromogranin A
Chr-A
Villin
Aquaporin 8
Aldehyde dehydrogenase 5
BTNL3
Cdk6
CDCA7
CEACAM7
Ephrin B1
HSP60
IEX1/IER3
Ki67
GPR49/LGR5
LGR5
NUPR1
MUCDHL
PTK7
RNF43
SLC26A3
TOMM40
ZG16
OLFM4
FCGBP

Other

Muc2
Lysozyme
Chromogranin A
LGR5
OLFM4
FCGBP
EPHB3
PLAC8
MUC2
KRT20
TOMM40
SLC26A3
ChgA
SOX9
SI
CD31
Vimentin
a-SMA
Emilin1
Pdx1
SIS(sucrase-isomaltase)
SLC40A1(Ferroportin)
Villin
ZO-1
Occludin

Ovary

Ovarian Cancer

CA125 (MUC16)

Ovary

ANXA10
HE(HE4)
WT1
HE4
CA125(MUC16)
PAX8
WT1

Retina

Retina

BRN3
Calbindin
Recoverin
Retinal RX
PAX6
CHX10

Readout

31markers (charged slide)

PDOX BTLA

PDOX HVEM

To identify the mechanism of a new target, acquire spatial information by simultaneously staining 31 markers in PDOX tissue.

Simultaneous staining of 31 markers in tumor tissue

IgG control

Cell types

IgG control

Sub types

Anti-Target

Cell types

Anti-Target

Sub types

Identification of treatment mechanism through spatial analysis of cell types

IgG control

Cell types

IgG control

Sub types

Anti-BTLA

Cell types

Anti-BTLA

Sub types

IgG control

Cell types

Total = 236,688

IgG control

Sub types

CD44-, 21.9%
HLA-A-, 14,4%

Total = 236,688

Anti-Target

Cell types

Total = 188,595

Anti-Target

Sub types

CD44-, 54.2%
HLA-A-, 26,6%

Total = 188,595

IgG

Anti-Target 1

Anti-Target 2

Target 2 = Binging partner for Target 1

% of positive cells

E-cadherin

% of positive cells

CD44

% of positive cells

CD8

Identifying immunological mechanisms underlying the efficacy of anticancer immunotherapy and discovering biomarker candidates through theapplication of spatial biology