Spatial Omics

A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cell Methods".

Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 4882

Special Issue Editors


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Guest Editor
Department of Vascular Biology and Thrombosis Research, Center for Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstr. 17, A1090 Vienna, Austria
Interests: inflammation; cancer; thrombosis; microscopy; omics
Special Issues, Collections and Topics in MDPI journals
Caris Life Sciences, Tempe, AZ, USA
Interests: immunofluorescence; in situ hybridization; spatial omics; immune-oncology

Special Issue Information

Dear Colleagues,

The ability to understand how cellular regulatory networks function in normal cells and malfunction in disease states plays an important role in both the diagnosis and therapy of diseases. In many cases, the location of specific cells or molecules within an organ or an organism is crucial for physiological or pathological states. Therefore, it is important to develop technologies that enable spatially resolved detection and quantification of different biomolecules at a single-cell resolution.

Single-cell (sc-) assays such as flow cytometry, sc-RNA-sequencing, or sc-ATAC-sequencing, though providing high content analysis of many targets, do not provide the crucial spatial information. Furthermore, cells might change their properties in the course of the isolation and preparation of cell suspensions, which is a prerequisite for these methods. Other approaches such as immunohistochemistry or in situ hybridization suffer from the low number of detectable target molecules, even though they could generate results with spatial resolution.

Therefore, there is an increasing demand to develop novel assays that could enable high-throughput detection and quantification of multiple targets in biological samples with spatial information preserved. This Special Issue aims to both discuss the current status in the field of spatial omics and share novel approaches that could boost the field to the next level.

Dr. Johannes A. Schmid
Dr. Lu Xiao
Guest Editors

Manuscript Submission Information

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Keywords

  • spatial transcriptomics
  • spatial proteomics
  • spatial lipidomics
  • multiplexed immunofluorescence
  • multiplexed in situ hybridization
  • molecular barcoding
  • image analysis
  • in situ sequencing
  • fluorescent probes

Published Papers (1 paper)

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Review

13 pages, 1380 KiB  
Review
Spatial Transcriptomic Technologies
by Tsai-Ying Chen, Li You, Jose Angelito U. Hardillo and Miao-Ping Chien
Cells 2023, 12(16), 2042; https://0-doi-org.brum.beds.ac.uk/10.3390/cells12162042 - 10 Aug 2023
Cited by 3 | Viewed by 4317
Abstract
Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a range of diseases, including cancer. A variety [...] Read more.
Spatial transcriptomic technologies enable measurement of expression levels of genes systematically throughout tissue space, deepening our understanding of cellular organizations and interactions within tissues as well as illuminating biological insights in neuroscience, developmental biology and a range of diseases, including cancer. A variety of spatial technologies have been developed and/or commercialized, differing in spatial resolution, sensitivity, multiplexing capability, throughput and coverage. In this paper, we review key enabling spatial transcriptomic technologies and their applications as well as the perspective of the techniques and new emerging technologies that are developed to address current limitations of spatial methodologies. In addition, we describe how spatial transcriptomics data can be integrated with other omics modalities, complementing other methods in deciphering cellar interactions and phenotypes within tissues as well as providing novel insight into tissue organization. Full article
(This article belongs to the Special Issue Spatial Omics)
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