Neuroproteomics enables the holistic interrogation of functional changes down at the molecular level following @entity1545 . Results are a window into the protein-driven mechanisms underlying cellular and anatomical degradation as well as regeneration. In this chapter, we discuss the merits and limitations of neuroproteomics in the context of studying @entity1545 , and discuss important consideration for study design. We present results from our recent studies on how this new level of detail informs our understanding of the fundamental processes governing regeneration. Placed in context with observed anatomical restructuring, neuroproteomic results can be instrumental in guiding targeted interventions of regeneration. Delineating the temporal series of molecular events would facilitate time-dependent therapeutic administration as well as precision endpoints with which to decipher efficacy. Ultimately, deep-neuroproteomic analysis can enhance our understanding of the complex interactive-nature of the molecular underpinnings of @entity1545 pathobiology and help delivery on the promise of improved care and treatment. @entity131 ( @entity131 ) broadly encompasses any damage from a mechanical insult to the brain, accounting for more than 1.7 million incidents annually in the United States (Faul et al., 2010). As a @entity179 , @entity131 requires unique consideration when employing model systems. @entity131 initiates with an acute mechanical event, providing a clear start to the pathobiology that can be reasonably approximated in the laboratory. However, a multitude of external and individual factors critically influence the ensuing damage and progression of disease, instilling heterogeneity that is difficult to account for in model systems (Adamczak et al., 2012; Roozenbeek et al., 2012). Secondary biochemical insults soon follow that challenge targeted molecular studies. Following the course of acute degeneration are the onset of repair mechanisms as well as chronic degradative processes. Thus, there are many facets and caveats to understanding the evolving molecular and anatomical picture of @entity131 . Systems neurobiology aspires to the holistic comprehension of neural networks underlying brain function, and, in application to @entity131 , its dysfunction. The discipline takes into account the biochemical dynamics that facilitate integration, maturation, and plastic organization of neural networks, extending the bounds of molecular neuroscience beyond the process of neurotransmission. Neuroproteomics is a logical component in systems neurobiological studies, by which complex and dynamic posttranslational mechanisms of action can be interrogated under developing, mature, and pathological conditions. Although other omic disciplines importantly study @entity4334 , lipid, and small molecule constituents, proteomics is perhaps the most functionally informative on acute injury, given that proteins and their products are the chief actors within and between cells. @entity131 models provide researchers with the means to interrogate the functional relationships between the neuroproteomic, anatomic, and neurologic domains. Thereby, an integrated understanding of @entity131 pathobiology is poised to provide a deeper reflection of dysfunction and how to minimize or therapeutically reverse the consequences.

Neuroproteome Dynamics in Modeled XXXX : A Systems Neurobiology Perspective

@entity1545 :: ('MESH:D020214', 'Disease') :: ['brain injury'] @entity131 :: ('MESH:D001930', 'Disease') :: ['TBI', 'Traumatic brain injury'] @entity179 :: ('MESH:D019636', 'Disease') :: ['neurodegenerative disease'] @entity4334 :: ('D009711', 'Chemical') :: ['nucleotide']
@entity1545 :: (MESH:D020214,Disease) :: ['Brain Injury']
