Call for papers - Mechanistic insight into health and disease using spatial transcriptomics

Guest Editor

Zixuan Cang, PhD, North Carolina State University, USA

Submission Status: Open | Submission Deadline: 17 February 2025

BMC Medical Genomics is calling for submissions to our Collection on Mechanistic insight into health and disease using spatial transcriptomics.

Enabled by state-of-the-art RNA sequencing (RNA-seq) techniques, spatial transcriptomics allow the resolution of transcriptional activity within intact tissue sections. Insight into topographical localizations of gene expression patterns allow linking tissue structure with transcriptomic activity. This spatial heterogeneity influences cellular behavior and interactions, ultimately providing invaluable insights into the molecular landscapes of health and disease microenvironments. Using these techniques, we can gain further insight into the differences between healthy and diseased states of tissues and organs, which will contribute to improved understanding of disease mechanisms.

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Meet the Guest Editor

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Zixuan Cang, PhD, North Carolina State University, USA

Dr Zixuan Cang is an Assistant Professor of Mathematics at North Carolina State University. His research interests include topological and geometric data analysis, optimal transport, data-driven modeling, and their applications to data-driven biology.

About the Collection

BMC Medical Genomics is calling for submissions to our Collection on Mechanistic insight into health and disease using spatial transcriptomics.

Enabled by state-of-the-art RNA sequencing (RNA-seq) techniques, spatial transcriptomics allow the resolution of transcriptional activity within intact tissue sections. Insight into topographical localizations of gene expression patterns allow linking tissue structure with transcriptomic activity. This spatial heterogeneity influences cellular behavior and interactions, ultimately providing invaluable insights into the molecular landscapes of health and disease microenvironments. Using these techniques, we can gain further insight into the differences between healthy and diseased states of tissues and organs, which will contribute to improved understanding of disease mechanisms. These insights can provide primers for focused research on clinical and pharmaceutical interventions. This collection invites contributions advancing the use of spatial transcriptomics in health and disease. It aims to highlight the use of spatial transcriptomic technology in dissecting the spatially diverse gene expression patterns associated with different diseases, paving the way for novel diagnostic and therapeutic strategies.

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Mechanistic insight into health and disease using spatial transcriptomics" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.