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Method Article

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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DOI:

10.3791/62651

July 6th, 2022

In This Article

Summary

Here, we describe a protocol for fine-tuning regions of interest (ROIs) for Spatial Omics technologies to better characterize the tumor microenvironment and identify specific cell populations. For proteomics assays, automated customized protocols can guide ROI selection, while transcriptomics assays can be fine-tuned utilizing ROIs as small as 50 µm.

Abstract

Multiplexing enables the assessment of several markers on the same tissue while providing spatial context. Spatial Omics technologies allow both protein and RNA multiplexing by leveraging photo-cleavable oligo-tagged antibodies and probes, respectively. Oligos are cleaved and quantified from specific regions across the tissue to elucidate the underlying biology. Here, the study demonstrates that automated custom antibody visualization protocols can be utilized to guide ROI selection in conjunction with spatial proteomics assays. This specific method did not show acceptable performance with spatial transcriptomics assays. The protocol describes the development of a 3-plex immunofluorescent (IF) assay for marker visualization on an automated platform, using tyramide signal amplification (TSA) to amplify the fluorescent signal from a given protein target and increase the antibody pool to choose from. The visualization protocol was automated using a thoroughly validated 3-plex assay to ensure quality and reproducibility. In addition, the exchange of DAPI for SYTO dyes was evaluated to allow imaging of TSA-based IF assays on the spatial profiling platform. Additionally, we tested the ability of selecting small ROIs using the spatial transcriptomics assay to allow the investigation of highly-specific areas of interest (e.g., areas enriched for a given cell type). ROIs of 50 µm and 300 µm diameter were collected, which corresponds to approximately 15 cells and 100 cells, respectively. Samples were made into libraries and sequenced to investigate the capability to detect signals from small ROIs and profile-specific regions of the tissue. We determined that spatial proteomics technologies highly benefit from automated, standardized protocols to guide ROI selection. While this automated visualization protocol was not compatible with spatial transcriptomics assays, we were able to test and confirm that specific cell populations can successfully be detected even in small ROIs with the standard manual visualization protocol.

Introduction

Advances in multiplexing techniques continue to provide better characterization tools for targets present in tumors. The tumor microenvironment (TME) is a complex system of tumor cells, infiltrating immune cells, and stroma, where spatial information is critical to better understand and interpret mechanisms of interaction between biomarkers of interest1. With emerging techniques such as the GeoMx Digital Spatial Profiler (DSP) and 10x Visium, multiple targets can be detected and quantified simultaneously within their spatial context. The use of immunofluorescence protocols that facilitate tissue visualization can further improve the spatial pro....

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Protocol

All human tissues were acquired from commercial biobanks or accredited tissue banks under warranty that appropriate Institutional Review Board approval and informed consent were obtained.

NOTE: The protocol is performed using the Discovery Ultra and the GeoMx Digital Spatial Profiler. See the Table of Materials for details about reagents, equipment, and software used in this protocol.

1. Automated visualization protocol for spatial proteomics assays

  1. Program autostainer to apply fluorescent visualization antibodies
    1. In the autostainer software, click on the ....

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Results

Automated visualization protocol to guide ROI selection
In this paper, we present the use of an automated, custom TSA-based IF protocol to visualize the tissue and select specific ROIs. Visualization panel development using melanoma and human normal skin as control tissues consisted of epitope stability testing, fine-tuning of marker intensities, and bleedthrough assessment through leave one out controls. To test if epitope stability of the antibodies is affected by repetitive elution steps, FAP and .......

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Discussion

To date, directly conjugated fluorescent antibodies in a manual protocol are most commonly used as visualization panels for spatial proteomics or spatial transcriptomics assays9,10. However, the use of directly conjugated fluorescent antibodies can be challenging for less abundant markers, limiting the selection of suitable antibodies. This protocol shows that labeling of visualization markers can be automated on an automated staining platform using TSA technolog.......

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Disclosures

Veronica Ibarra-Lopez, Sangeeta Jayakar, Yeqing Angela Yang, Zora Modrusan, and Sandra Rost are employees and stockholders of Genentech, a member of the Roche Group. Other companies that are part of Roche produce reagents and instruments used in this manuscript. Ciara Martin is a full-time employee of NanoString Technologies Inc, which produces reagents and instruments used in this manuscript.

Acknowledgements

The authors acknowledge Thomas Wu for processing NGS files. We thank James Ziai for the results discussions and manuscript review and Meredith Triplet and Rachel Taylor for internal manuscript revision.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
10x Tris buffered saline (TBS)Cell Signaling Technologies12498SDiluted to 1x TBS in DEPC treated water
Antibody X (not disclosed)antibody blinded due to confidentiality
DEPC-treated waterThermoFisherAM9922Another can be used
DISCOVERY Cell Conditioning ( CC1)Ventana950-500
DISCOVERY Cy5 KitVentana760-238Referred as Cy5
DISCOVERY FAM KitVentana760-243Referred as FAM
DISCOVERY Goat Ig BlockVentana760-6008Referred as Gt Ig Block
DISCOVERY OmniMap anti-Ms HRPVentana760-4310Referred as OMap anti-Ms HRP
DISCOVERY OmniMap anti-Rb HRPVentana760-4311Referred as OMap anti-Rb HRP
DISCOVERY Rhodamine 6G KitVentana760-244Referred as Rhodamine 6G
DISCOVERY ULTRA Automated Slide Preparation SystemVentana05 987 750 001 / N750-DISU-FSReferred as autostainer on the manuscript
FAP [EPR20021] AntibodyAbcamAb207178
GeoMx Digital Spatial ProfilerNanoStringGMX-DSP-1YReferred as spatial profiling platform on the manuscript
Humidity chamberSimportM920-2Another can be used
Pan-Cytokeratin [AE1/AE3] AntibodyAbcamAb27988
ProLong Gold Antifade MountantThermoFisherP36934
PythonPythonStatistical analysis
Reaction Buffer (10x)Ventana950-300
Statistical analysis softwareGraphPadPrism 7Statistical analysis
SYTO 64ThermoFisherS11346
ULTRA Cell Conditioning (ULTRA CC2)Ventana950-223
Ventana Antibody Diluent with CaseinVentana760-219Referred as specified diluent on the manuscript
Ventana Primary antibody dispenserVentanaCatalog number depends on dispenser number

References

  1. Nerurkar, S. N., et al. Transcriptional spatial profiling of cancer tissues in the era of immunotherapy: The potential and promise. Cancers. 12 (9), 2572(2020).
  2. Decalf, J., Albert, M. L., Ziai, J.

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Tags

Spatial OmicsSpatial ProteomicsSpatial TranscriptomicsRegion Of InterestMultiplex ImmunofluorescenceTyramide Signal AmplificationAutomated Visualization ProtocolProtein Expression ProfilingRNA Expression ProfilingFormalin Fixed Paraffin Embedded