We are excited to inform you that we have launched Special Issue: Brain Multiomics. Hoping that your high-quality research outcomes will help us build Human Brain into benchmarks in the field.
With the rapid advancement of high-throughput sequencing technologies and bioinformatics, we are entering a new era of research—systematically deciphering the complex structure and functional mechanisms of the brain by integrating multi-omic data, including genomics, transcriptomics, proteomics, epigenomics, and metabolomics. Multiomics approaches not only provide powerful tools for in-depth understanding of molecular regulatory mechanisms in both healthy and diseased states of the brain but also open new avenues for early diagnosis of brain disorders, discovery of precision therapeutic targets, and development of personalized intervention strategies. To showcase the latest research achievements and advanced technologies in this rapidly evolving field and to promote innovation and international collaboration, HUMAN BRAIN is launching a special topic on "Brain Multiomics". This topic aims to gather cutting-edge research from scientists worldwide utilizing multiomics methods to address fundamental and translational questions in brain science. We cordially invite scholars to contribute their work.
This special topic focuses on, but is not limited to, the following research directions. We welcome original research articles, reviews, methodological papers, and critical commentaries:
1) Innovative Applications of Single-Cell and Spatial Multiomics Technologies: Utilizing advanced technologies such as single-cell/single-nucleus sequencing, spatial transcriptomics, and spatial proteomics to analyze cellular heterogeneity and spatial distribution patterns in nervous system development, aging, or disease, revealing cell-type-specific functions and their alterations in pathological states.
2) Construction and Comparative Analysis of Cross-Species Brain Atlases: Integrating multiomics data to construct high-resolution brain cell atlases and conducting cross-species comparative analyses to uncover evolutionary conservation and species-specific features of brain structure and function, providing a theoretical basis for translational medicine.
3) Multiomics Biomarkers for Brain Disorders: Mining and analyzing multiomics data to discover novel biomarkers for diagnosis, prognosis, or treatment response in major brain disorders such as Alzheimer's disease, Parkinson's disease, cerebrovascular diseases, and schizophrenia, etc., advancing precision medicine for brain diseases.
4) Integration and Analytical Methods for Multiomics Data: Developing innovative bioinformatics algorithms, computational models, or analytical tools to efficiently integrate and deeply mine complex brain multiomics data, providing methodological support for data-driven brain research.
5) Systems Biology Studies Based on Multiomics Data: Combining multiomics data with systems biology approaches to systematically elucidate molecular regulatory networks and key signaling pathways in specific physiological or pathological processes of the brain, uncovering systemic mechanisms underlying complex brain functions.
Submission deadline: 2026-12-30
Guest Editor
Shiping Liu
PhD
Professor of bioinformatics, brain science, and oncology, University of Chinese Academy of Sciences & BGI-Research, China
Li Liu
PhD
Associate Professor of bioinformatics, Arizona State University, USA
Lifang Wang
PhD
Associate Professor, BGI-research, Hangzhou, China