Spatial Biology Discovery Grant 2023

Decipher tumor immune biology with comprehensive spatial phenotyping

Co-sponsor:

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Akoya Biosciences and Enable Medicine invite scientists involved in cancer research to apply for the 2023 Spatial Biology Discovery Grant.

Submit your application by Sept 1, 2023

  • Are you looking to better understand tumor immune biology, such as the mechanisms behind immune activation and immune evasion?
  • Have you ever wondered what you could uncover by adding a spatial dimension to your research?

Using spatial phenotyping, scientists are gaining unprecedented views of the tumor immune microenvironment (TIME) and tumor heterogeneity that may help elucidate how some cancers are able to grow undetected by the immune system and why individuals have differing responses to immunotherapy.

With the recent launch of our PhenoCode Discovery Panels, this technology is now more accessible than ever before. These ready-to-use high-plex protein panels are curated to help you answer key biological questions about tumor origin, the identity and localization of various cell types in your sample, the status of immune cells, and more. Also, thanks to our growing ecosystem of software partners – including our newest partner Enable Medicine – seamless end-to-end spatial biology workflows are now a reality.

Through this grant program, we’re excited to extend these capabilities to your research and help fuel your next great discovery. Learn more about this grant opportunity below and be sure to submit your application by September 1, 2023.

What you will receive:

Two winners will be selected to receive:

  • Deep spatial phenotyping with their choice of two PhenoCode Discovery Panel Modules (25-plex) on up to three FFPE human tissue samples.
  • An assay report generated by our software analysis partner, Enable Medicine.

How to apply:

Complete the application form on this page and tell us, in 300 words or less, about how PhenoCode Discovery Panels and the Enable Medicine software analysis platform would help you advance your immuno-oncology research.

Terms & Conditions:

Applications must be received by September 1, 2023 to receive consideration. See here for additional terms and conditions.

Resources to help you plan your project/grant application:

Immune Profiling Human Protein Core

Target
Biological Relevance
CD4
Helper T cells
CD44
Activated T cells
CD68
Macrophages
CD45RO
Memory T cells
CD45
Immune cells
CD11c
Dendritic cells
CD8
Cytotoxic Tcells
CD56
NK cells
HLA-A
MHC I
HLA-DR
APCs (MHC II)
CD14
Monocytes
Ki67
Proliferating cells
CD20
B cells
Pan-Cytokeratin
Tumor cells
CD3e
T cells

Tissue Architecture Human Protein Module

Target
Biological Relevance
CD31
Vascular structures
SMA
Vascular structures, fibroblasts, smooth muscle
E-cadherin
Epithelial cells
Vimentin
Cyto-structures
CD34
Vascular structures
Collagen IV
Extracellular matrix (ECM)
Caveolin
Integral membrane protein
b-Catenin1
Cell adhesion, Wnt signaling
Beta-actin
Cytoskeleton, housekeeping gene
Podoplanin
Lymphatics

Immune Activation & Proliferation Human Protein Module

Target
Biological Relevance
CD40
Activated dendritic cells
IFNG
Activated lymphocytes
IDO1
Multifunctional/Immune inhibitory
HLA-E
MHC I
PCNA
Proliferating cells
VISTA
Immune checkpoint
PD-L1
Checkpoint ligand
PD-1
Checkpoint receptor
ICOS
Checkpoint receptor
LAG3
Checkpoint receptor

Lymphocyte Profiling Human Protein Module

Target
Biological Relevance
CD107a
CD8+ and NK cells; lysosomal marker
FOXP3
Regulatory T cells
CD21
B cells
Granzyme B
Activated T cells/NK cells
T-bet/TBX21
Transcription factor, Th1 T cell development
TOX
Transcription factor; T cell exhaustion
TCF-1
Transcription factor, Wnt signaling
CD38
Plasma B cells
CD79a
B cells; pre B ALL
CD39
T cell exhaustion

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"*" indicates required fields

Name*
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What is the focus of your research?
What platform(s) do you currently use or have access to?
Which analytes are you most interested in detecting?
What level of plex for RNA/protein detection are you interested in?
Do you have FFPE tissue samples available now?
In 300 words or less, please describe how spatial multiomics on the PhenoCycler-Fusion System for spatial phenotyping with RNA and protein detection on cancer tissue samples at single-cell resolution can support your oncology research.
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