Special Issue "Single-Cell and Spatial Multi-Omics Technologies in Human Health"

A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Bioinformatics and Systems Biology".

Deadline for manuscript submissions: 31 March 2023 | Viewed by 148

Special Issue Editors

Dr. Anjun Ma
E-Mail Website
Guest Editor
Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA
Interests: single-cell multi-omics; computational systems biology; deep learning; immuno-oncology microbiome; drug resistance
Dr. Qin Ma
E-Mail Website
Guest Editor
Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA
Interests: single-cell and spatial multi-omics; graph neural network; gene regulatory mechanism; immuno-informatics; senescent cells
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advances in single-cell and spatial-sequencing technologies have enabled the characterization of cellular- and tissue-level heterogeneity and biological processes in complex diseases. This provides unprecedented opportunities to understand disease pathology at the single-cell level to find new diagnostic markers or new therapeutic targets. The analyses of single-cell and spatially resolved sequencing data allow mechanistic classification and development, providing a practical basis for improving the diagnosis and treatment of diseases. 

In this Special Issue, we invite you to share computational methods and laboratory innovations that enable the concurrent and integrative analyses of single-cell and spatially resolved multi-omics data. We embrace any novel statistical or deep-learning-based tools, pipelines, and databases that are developed for conquering computational challenges and linking with human health using relevant data. We would also like to showcase novel findings as a result of applications of multi-omics to address significant questions related to human health, including, but not limited to, immuno-oncology, Alzheimer’s disease, host–microbiome interactions, aging, drug resistance, cancer diagnosis, etc. Original research, databases/webservers, and review papers are welcome.

We look forward to reading your contributions to this rapidly advancing, interdisciplinary field.

Dr. Anjun Ma
Dr. Qin Ma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • single-cell multi-omics
  • spatial multi-omics
  • bioinformatics and biomedical informatics
  • human health
  • deep-learning methods

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Statistical Power Analysis for Designing Bulk, Single Cell, and Spatial Genomic Experiments: Review, Tutorial, and Perspectives
Authors: Dongjun Chung
Affiliation: The Ohio State University College of Medicine, Columbus, United States

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