Spatial Multi-modal Profiling
Spatial Multi-Modal Profiling is a computational and experimental framework that enables the simultaneous acquisition and integration of multiple molecular data types—such as genomics, transcriptomics, and proteomics—with high-resolution spatial context to resolve the architectural and functional organization of biological tissues at single-cell or subcellular resolution.
11
Publications
497
Citations
71
Authors
34
Institutions
Publications per year
2017–2026
11
11
Spatial genomics enables multi-modal study of clonal heterogeneity in tissues
Tongtong Zhao, Zachary Chiang, Julia W. Morriss et al. · Nature · 2021 · 270 citations · Full text
Resolving tissue complexity by multimodal spatial omics modeling with MISO
Kyle Coleman, Amelia Schroeder, Melanie Loth et al. · Nature Methods · 2025 · 60 citations · Full text
1–5 of 11
71
2
h-index
2
h-index
The University of Texas MD Anderson Cancer Center, United States
1 publications · 60 citations
2
h-index
2
h-index
2
h-index
1–5 of 71
34
Harvard University
Cambridge, United States
3 h-index
17 publications
2.4K citations
Massachusetts General Hospital
Boston, United States
2 h-index
2 publications
288 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
5 publications
1.1K citations
University of California, Merced
Merced, United States
2 h-index
4 publications
98 citations

Broad Institute
Cambridge, United States
2 h-index
28 publications
3.5K citations
The University of Texas Health Science Center at Houston
Houston, United States
2 h-index
2 publications
120 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
5 publications
300 citations
Ludwig Cancer Research
New York, United States
1 h-index
2 publications
120 citations
1–8 of 34
1 publications · 25 citations
3
h-index
Repository · 3 publications · 63 citations
3
h-index
BPR · 1 publications · 31 citations
1
h-index
1 publications · 270 citations
1
h-index
1 publications · 60 citations
1
h-index
1–5