Detection and localization of protein biomarkers and cellular phenotyping can be powerful in the identification of diseased tissue, assessment of immune responses and monitoring of treatments.
This app note highlights a multiplex immunofluorescence imaging solution for targeted spatial proteomics that provides several advantages over other spatial proteomic and transcriptomic technologies for biomarker studies.
Download this app note to discover a solution that offers:
- High-resolution, high dynamic range imaging for high-quality data generation
- Modular and expandable validated antibody panels targeting commonly used biomarkers
- Compatibility with standard microscope slides for analysis of multiple samples on the same slide
Introduction
Spatial biology has great potential to support cancer
research and targeted therapeutic development.
In particular, detection and localization of protein
biomarkers and cellular phenotyping can be powerful
ways to identify diseased tissue, assess immune
responses, and monitor treatments.
The CellScape™ Precise Spatial Multiplexing platform
is a multiplex immunofluorescence imaging solution
for targeted spatial proteomics that offers several
key advantages over other spatial proteomic and
transcriptomic technologies for biomarker studies,
including:
• High-resolution, high dynamic range imaging for
clear image capture and high-quality data generation
• Versatile assay design, with detection chemistry
compatible with fluorescently labeled antibodies
from any vendor
• Modular and expandable validated antibody
panels targeting commonly used biomarkers with
VistaPlex™ Multiplex Assay Kits
• Erasure of immunofluorescence signal by photoinactivation of fluorophores, a non-damaging
method that keeps tissues intact after analysis.
• Compatibility with standard microscope slides for
large imaging windows and analysis of multiple
samples on the same slide
• Safe long-term sample storage after analysis with
Storage Buffer for CellScape
Because of its unique benefit of sample storage,
CellScape technology offers the opportunity for datadriven assay expansion—follow-up staining and imaging
of a previously-analyzed sample days, weeks, or months
later. Here, we demonstrate the benefits of pairing
CellScape Precise Spatial Multiplexing with VistaPlex
Assay Kits to initially map cell populations, safely store
the sample, analyze the data, and then expand the assay
on the same slide with additional staining and imaging.
Methods
Each prepared histology slide was mounted to a
CellScape™ Whole-Slide Imaging Chamber, forming
a microfluidic device directly compatible with the
CellScape fluidics system for automated reagent delivery.
Highly multiplexed, high dynamic range (HDR) images
were collected using the CellScape platform (Figure
1). The HDR images were automatically generated by
combining multiple exposures, allowing for biomarker
detection over 6 orders of magnitude. The VistaPlex
Spatial Immune Profiling Assay Kit was used first on all
Data-driven assay expansion: A modular approach
to quantitative spatial phenotyping
1
APPLICATION NOTE
Figure 1. After sample
preparation, the CellScape
Precise Spatial Multiplexing
platform uses cycles of
staining, high dynamic range
(HDR) imaging, and nondestructive signal removal
to detect biomarkers with
spatial context and single-cell
resolution. An image overlay
of each marker in the assay
is then created by aligning
each channel to a reference
channel. Output OME-TIFF
data are compatible with
many third-party analysis
softwares for flexible analysis
capability.
samples to identify and locate foundational immune
and epithelial cell populations in human FFPE tissues.
Subsequent rounds of assay expansion were conducted
in two-week intervals using the VistaPlex Tissue
Architecture Profiling Kit and additional antibodies for
context-specific markers (Table 1).
Results
Spatial Immune Profiling
The initial staining and imaging of a human FFPE lung
adenocarcinoma sample was completed using the
Spatial Immune Profiling Kit (Figure 2A). As expected,
post-imaging analysis revealed vast tumor tissue,
indicated by the presence of both PanCK and high levels
of PD-L1 (Figure 2B, C). Immune cells also expressed
PD-L1, but not to the same degree as the tumor cells.
The HDR imaging capability of CellScape allowed for
the linear capture of a broad range of fluorescence
intensities, enabling the visualization of PD-L1 in
both cell populations despite drastic differences in
expression. Regions of dense CD45, a general immune
cell marker, along with high levels of CD20, a B cell
marker, suggested tertiary lymphoid structures (TLSs)
may be present (Figure 2B, regions 1-3). Imaging data
also revealed CD20+ cells in immune infiltrate regions
surrounded by CD3+ T cells (Figure 2D) and CD68+
macrophages (Figure 2E,F), additional indicators of
potential TLS presence.
2 For research use only. Not for use in diagnostic procedures.
APPLICATION NOTE
Spatial Immune
Profiling Kit
Hypothesis-Driven
Markers
Tissue Architecture
Profiling Kit
CD3 HLA-DR CD138
CD4 CD123 Collagen-IV
CD8 CD11c Podoplanin
CD20 DC-SIGN Vimentin
FoxP3 CD23 SMA
CD68 CD138* E-Cadherin
CD45 CD83 CD34
CD45RA CD163 CD31
CD45RO Podoplanin* CD227 (MUC1)
PD-1 CD14 Beta-Catenin
Ki-67 Vimentin*
PD-L1 CD57
Pan-CK Collagen-IV*
Granzyme B iNOS
DNA CD31*
CD34*
CD227 (MUC1)*
p53
Table 1. Biomarkers detected using the indicated antibody
collections.
Figure 2. A, Initial assay with the Spatial Immune Profiling Kit on a human FFPE lung adenocarcinoma. B, Whole tissue section
with select markers shown as indicated, and 3 selected regions of interest (ROIs) B1, B2, and B3. C, Cancerous tissue identified by
positive staining for PanCK and PD-L1. D, Identification of CD3+ T cells from ROI1. E and F, Identification of CD68+ macrophages
from ROI1 and ROI2, respectively.
* Validated antibody from Tissue Architecture Profiling Kit
Assay Expansion
Caused by chronic inflammatory conditions that may
or may not be directly related to cancer, immune cell
aggregates associated with TLSs are a potential indicator
of prognosis and can inform therapeutic decisions1. To
test the hypothesis that there were mature TLS structures
in the human FFPE adenocarcinoma sample, the sample
was assayed several more times, probing for tissue
architecture features and additional TLS markers. This
data-driven staining and imaging of the same tissue
section on the same slide took place over the course of 2
months, gradually expanding the assay from 16 to a total
of 40 distinct biomarkers (Figure 3A,B).
Successive expansion of the assay revealed CD34+ and
CD31+ vasculature teeming with CD163+ and CD57+
immune cells (Figure 3C). High CD11c, HLA-DR, and
CD123 in putative TLS structures confirmed the presence
of dendritic cells, another TLS hallmark (Figure 3B,D).
Additionally, the hypothesis-driven staining discretely
identified plasmacytoid dendritic cells by revealing
CD123+ signal in cells that were identified as CD4+
and CD3- in previous rounds of assays (Figure 3E). Final
assays labeled MUC1 and p53, which are reported to act
in concert to drive PD-L1 cancer immune evasion (Figure
3F)2,3.
Modular TMA Assay Expansion
In addition to the human lung cancer sample, a 60-core
TMA with both healthy and tumorigenic tissues was
assayed using the Spatial Immune Profiling Kit and, 14
days later, the assay was expanded using the Tissue
Architecture Kit. Both assay kits produced strong staining
across tissues (Figure 4), and the use of pre-validated
VistaPlex panels with CellScape avoided lengthy assay
development. The application of both kits, two weeks
apart, demonstrated the utility of assay expansion for a
broad range of tissues and enabled a comprehensive
approach to exploring biology on a single slide.
Summary
Here, data were provided demonstrating the utility
of modular assay expansion for hypothesis testing
and data-driven experimental design using the same
sample. Iterative rounds of assay expansion querying
a human adenocarcinoma sample allowed detection
and confirmation of a TLS network, an important
For research use only. Not for use in diagnostic procedures. 3
Figure 3. A, Assay expansion of human FFPE lung adenocarcinoma sample (each color indicates an additional expanded assay).
B, Whole tissue section with select markers from Assays 2-6 shown as indicated, and the same 3 selected ROIs, B1, B2, and B3, as
in Figure 2. C, Vasculature visualized by addition of Vimentin and CD31. D, Identification of CD31+ vasculature with CD163+ or
CD11c+ monocytes. E, Identification of plasmacytoid dendritic cells characterized as CD3- CD123+ CD4+. F, Staining of oncogene
MUC1 and tumor suppressor p53.
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Biosciences, VistaPlex, and CellScape are trademarks of Bruker Corporation or its
affiliates. For research use only. Not for use in diagnostic procedures.
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APPLICATION NOTE
prognostic indicator, as well as further probing for
additional, clinically impactful biomarkers. The CellScape
workflow allows samples to be analyzed, stored, and
then iteratively stained again, providing a flexible,
expandable, data-driven approach to high plex spatial
biology (Figure 5).
The ability to safely store and revisit tissues with datadriven assay expansion opens many doors for spatial
biology researchers. Benefits include on-the-go assay
development, quick sample quality control and assay
suitability determination, ad-hoc assay expansion, and
conservation of precious or rare samples. Whole-slide
imaging with CellScape Precise Spatial Multiplexing is a
powerful and flexible tool for detection and localization
of protein biomarkers. With a uniquely non-damaging
imaging process and expandable, modular prevalidated assay kits, CellScape addresses key needs for
high-plex protein detection to support cancer research
and therapy development.
References
1. Zhao, H., Wang, H., Zhou, Q., & Ren, X. (2021). Insights
into tertiary lymphoid structures in the solid tumor
microenvironment: anti-tumor mechanism, functional
regulation, and immunotherapeutic strategies. Cancer
biology & medicine, 18(4), 981–991. Advance online
publication.
2. Li, W., Han, Y., Sun, C., Li, X., Zheng, J., Che, J., Yao, X., &
Kufe, D. (2022). Novel insights into the roles and therapeutic
implications of MUC1 oncoprotein via regulating proteins
and non-coding RNAs in cancer. Theranostics, 12(3),
999–1011.
3. Hosseinzadeh, A., Merikhian, P., Naseri, N. et al. MUC1 is
a potential target to overcome trastuzumab resistance in
breast cancer therapy. Cancer Cell Int 22, 110 (2022).
Figure 4. Top: A 60-core human TMA slide was stained with the
Spatial Immune Assay kit. Bottom: The sample was stored for
14 days and then stained with the Tissue Architecture Kit.
Figure 5. Data-driven assays expansion using CellScape
incorporates rounds of automated staining and imaging, data
analysis, and sample storage. The nature of the CellScape
workflow enables the user to pause between rounds of
staining and imaging and determine how (or even whether) to
continue the experiment.