About this Research Topic
Neuropsychiatric disorders are among the topmost mysterious illnesses today, affecting roughly 20% of the population globally. The medical community have known of their existence for millennia, and the overwhelming strain of prevalence, mortality and disability on public health are well-documented. Brain diseases carry multifaceted traits and are influenced by a variety of causal factors, including the transcriptional network, genetic and epigenetic mapping, epigenomic and nuclear landscapes, tissue and cellular architecture, developmental phases, and environmental cues. These diverse neurobiological insights complicate the mechanistic understanding of the disease. Being classified by diagnostic categories with broad symptoms, health professionals have struggled to understand the precise biological mechanisms underpinning mental maladies. Accordingly, the behavioral outcome in patients carrying the same psychiatric disorders presents a strong heterogeneity, challenging their clinical diagnosis. Symptoms can even be reported as varying across the lifespan of a single individual.
The past decade has witnessed several breakthroughs, driven by holistic advances in neurobiology, neural stem cells, neuroimmunology, neuropathology, and brain imaging. Inevitably we are marching toward building the medical model to understand disease etiology within the brain circuit. While there remain many challenges ahead, the mounting advancements in single-cell and stem cell neurotechnologies, along with large scale data-modeling through artificial intelligence, are illuminating the aura of human brain research and are grounds for optimism.
Given the marked evolution in neuroscience research to date, it is crucial to know how we can progress this further. By comparing the genetic, genomic, and proteomic architectures of biology at the resolution of its fundamental unit, we can discover unknown insights and augment our understanding of the complex biology of neuropsychiatric disorders. Through this Research Topic, we aim to supply next-generation innovation in the area of single-cell technologies working toward a better understanding of cell and tissue trajectory in health and disease, and ultimately fueling studies in brain disease research. Single-cell models of disease enable us to move rapidly from bench to clinic, which will change the very paradigm of drug discovery and therapeutic development in neuroscience.
Submissions of the following article types are welcomed: Brief Research Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review and Technology and Code. Articles addressing these themes broadly are anticipated:
• Exploring neural signatures in neuropsychiatric disorders with single-cell learning
• Advancing the structural framework for studying psychiatric illnesses
• Harnessing the intellect of single-cell multi-omics towards therapeutic strategies in mental health disorders
• Computational modeling of multidimensional big-data to empower cellular and molecular insights of normal function and disease states in human brain research
• Development of stem-cells models of neuropsychiatric manifestations to interrogate biological systems at a resolution and scale that matches the complexity of biology
Keywords: Neuro-Psychiatric Disorders, Single-cell Omics, Big-Data Computation, Disease etiology, Diagnostic Landscape
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