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Integrated protein and transcriptome high-throughput spatial profiling

View ORCID ProfileNir Ben-Chetrit, View ORCID ProfileXiang Niu, View ORCID ProfileAriel D. Swett, Jesus Sotelo, Maria S. Jiao, Patrick Roelli, Marlon Stoeckius, Dan A. Landau
doi: https://doi.org/10.1101/2022.03.15.484516
Nir Ben-Chetrit
1Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
2New York Genome Center, New York, NY, USA
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  • ORCID record for Nir Ben-Chetrit
Xiang Niu
1Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
2New York Genome Center, New York, NY, USA
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  • ORCID record for Xiang Niu
Ariel D. Swett
1Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
2New York Genome Center, New York, NY, USA
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  • ORCID record for Ariel D. Swett
Jesus Sotelo
1Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
2New York Genome Center, New York, NY, USA
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Maria S. Jiao
3Center of Comparative Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Patrick Roelli
410x Genomics, Sweden
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Marlon Stoeckius
410x Genomics, Sweden
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  • For correspondence: dlandau@nygenome.org marlon.stoeckius@10xgenomics.com
Dan A. Landau
1Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
2New York Genome Center, New York, NY, USA
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  • For correspondence: dlandau@nygenome.org marlon.stoeckius@10xgenomics.com
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Abstract

Spatial transcriptomics and proteomics have independently transformed our understanding of complex biological processes; however, integration of these modalities is currently limited. To overcome this challenge, we developed Spatial PrOtein and Transcriptome Sequencing (SPOTS) for high-throughput integration of transcriptome and protein profiling within the spatial context. Applying SPOTS to spleen and breast cancer samples revealed that spatially-resolved multi-omic integration provides a comprehensive perspective on key biological processes in health and disease.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted March 18, 2022.
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Integrated protein and transcriptome high-throughput spatial profiling
Nir Ben-Chetrit, Xiang Niu, Ariel D. Swett, Jesus Sotelo, Maria S. Jiao, Patrick Roelli, Marlon Stoeckius, Dan A. Landau
bioRxiv 2022.03.15.484516; doi: https://doi.org/10.1101/2022.03.15.484516
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Integrated protein and transcriptome high-throughput spatial profiling
Nir Ben-Chetrit, Xiang Niu, Ariel D. Swett, Jesus Sotelo, Maria S. Jiao, Patrick Roelli, Marlon Stoeckius, Dan A. Landau
bioRxiv 2022.03.15.484516; doi: https://doi.org/10.1101/2022.03.15.484516

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