Spatially resolved transcriptomics and its applications in cancer

Silas Maniatis; Joana Petrescu; Hemali Phatnani

doi:10.1016/j.gde.2020.12.002

Spatially resolved transcriptomics and its applications in cancer

Curr Opin Genet Dev. 2021 Feb:66:70-77. doi: 10.1016/j.gde.2020.12.002. Epub 2021 Jan 9.

Authors

Silas Maniatis¹, Joana Petrescu², Hemali Phatnani³

Affiliations

¹ Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY, USA.
² Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY, USA; Department of Neurology, Division of Neuromuscular Medicine, Columbia University, New York, NY, USA.
³ Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY, USA; Department of Neurology, Division of Neuromuscular Medicine, Columbia University, New York, NY, USA. Electronic address: [email protected].

Abstract

Spatially resolved transcriptomics (SRT) offers the promise of understanding cells and their modes of dysfunction in the context of intact tissues. Technologies for SRT have advanced rapidly with a large number being published in recent years. Diverse methods for SRT produce data at widely varying depth, throughput, accessibility and cost. Many published SRT methods have been demonstrated only in their labs of origin, while others have matured to the point of commercialization and widespread availability. Here we review technologies for SRT, and their application in studies of tumor heterogeneity.

Publication types

Review

MeSH terms

Gene Expression Profiling / trends*
Gene Expression Regulation, Neoplastic / genetics
Genetic Heterogeneity*
Humans
Neoplasms / genetics*
Neoplasms / pathology
Transcriptome / genetics*

Abstract

Publication types

MeSH terms

Grants and funding