Diagnosing and treating neurodegenerative and other neurological disorders is hampered by the difficulty in accessing affected areas of the brain. Disease diagnoses often have to be based on post-mortem confirmation of disease pathology or medical imaging during disease progression. While early diagnosis and treatment remain elusive, major strides forward are possible with advanced molecular biology methods such gene expression analysis and profiling.
The optimal usage of these advanced techniques can be affected by large sample input requirements, a lack of robust data analysis pipelines, and poor reproducibility with challenging sample types. Highly sensitive and robust technology beyond traditional methods are necessary to accurately analyze brain tissue (fresh frozen or formalin-fixed paraffin-embedded), blood samples, or cerebrospinal fluid to detect disease specific changes in gene and protein expression, cell composition, and cell function.
The optimal usage of these advanced techniques can be affected by large sample input requirements, a lack of robust data analysis pipelines, and poor reproducibility with challenging sample types. Highly sensitive and robust technology beyond traditional methods are necessary to accurately analyze brain tissue (fresh frozen or formalin-fixed paraffin-embedded), blood samples, or cerebrospinal fluid to detect disease specific changes in gene and protein expression, cell composition, and cell function.
Neuropathology and Neuroinflammation Gene Expression Panels featuring expertly curated and annotated gene content specific to neurodegeneration and neuroinflammation have been developed for research of neurological disorders such as Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, neuropathic pain, traumatic brain injury, and CNS infections.
Download this application note from NanoString to learn more about how these panels can produce robust and reproducible results from limiting and challenging sample types!
Download this application note from NanoString to learn more about how these panels can produce robust and reproducible results from limiting and challenging sample types!
