| Title | Spatial omics technologies at multimodal and single cell/subcellular level. |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Authors | Park J, Kim J, Lewy T, Rice CM, Elemento O, Rendeiro AF, Mason CE |
| Journal | Genome Biol |
| Volume | 23 |
| Issue | 1 |
| Pagination | 256 |
| Date Published | 2022 Dec 13 |
| ISSN | 1474-760X |
| Keywords | Genomics, Prospective Studies, Proteomics |
| Abstract | Spatial omics technologies enable a deeper understanding of cellular organizations and interactions within a tissue of interest. These assays can identify specific compartments or regions in a tissue with differential transcript or protein abundance, delineate their interactions, and complement other methods in defining cellular phenotypes. A variety of spatial methodologies are being developed and commercialized; however, these techniques differ in spatial resolution, multiplexing capability, scale/throughput, and coverage. Here, we review the current and prospective landscape of single cell to subcellular resolution spatial omics technologies and analysis tools to provide a comprehensive picture for both research and clinical applications. |
| DOI | 10.1186/s13059-022-02824-6 |
| Alternate Journal | Genome Biol |
| PubMed ID | 36514162 |
| PubMed Central ID | PMC9746133 |
| Grant List | R01 MH117406 / MH / NIMH NIH HHS / United States R01 AI158676 / AI / NIAID NIH HHS / United States R01 AI161444 / AI / NIAID NIH HHS / United States R01 AI151059 / AI / NIAID NIH HHS / United States R01 CA249054 / CA / NCI NIH HHS / United States |