This neural dissociation protocol (an adaptation of the protocol accompanying a commercial adult brain dissociation kit) optimizes tissue processing in preparation for detailed downstream analysis such as flow cytometry or single-cell sequencing. Neural dissociation can be conducted via mechanical dissociation (such as using filters, chopping techniques, or pipette trituration), enzymatic digestion, or a combination thereof. The delicate nature of neuronal cells can complicate efforts to obtain the highly viable, true single-cell suspension with minimal cellular debris that is required for single-cell analysis. The data demonstrate that this combination of automated mechanical dissociation and enzymatic digestion consistently yields a highly viable (>90%) single-cell suspension, overcoming the aforementioned difficulties. While a few of the steps require manual dexterity, these steps lessen sample handling and potential cell loss. This manuscript details each step of the process to equip other laboratories to successfully dissociate small quantities of neural tissue in preparation for downstream analysis.
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http://dx.doi.org/10.3791/63007 | DOI Listing |
eNeuro
January 2025
Department of Cell Biology, School of Medicine, Emory University, Atlanta, Georgia 30322
Brain-derived neurotrophic factor (BDNF) and tropomyosin receptor kinase B (TrkB) are known to contribute to both protective and pronociceptive processes. However, their contribution to neuropathic pain after spinal cord injury (SCI) needs further investigation. In a recent study utilizing TrkB mice, it was shown that systemic pharmacogenetic inhibition of TrkB signaling with 1NM-PP1 (1NMP) immediately after SCI delayed the onset of pain hypersensitivity, implicating maladaptive TrkB signaling in pain after SCI.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Institute of Modern Physics, Shaanxi Key Laboratory for Theoretical Physics Frontiers, Northwest University, Xi'an, Shaanxi 710127, China.
The full-dimensional potential energy surface (PES) for the photodissociation of HNCS in the S(″) electronic state has been built up by the neural network method based on more than 48,000 points, which were calculated at the multireference configuration interaction level with Davidson correction using the augmented correlation consistent polarized valence triple-ζ basis set. It was found that two minima, namely, and isomers of HNCS, and seven stationary points exist on the S PES for the three dissociation pathways: HNCS(S) → H + NCS/HNC + S(D)/HN(Δ) + CS(Σ). The dissociation energies of two lowest product channels H + NCS and HNC + S(D) calculated on the PES are in good agreement with experimental results, validating the high accuracy of the PES.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Johns Hopkins University, Baltimore, MD, USA.
Background: Alzheimer's disease is a progressive form of dementia where cognitive capacities deteriorate due to neurodegeneration. Interestingly, Alzheimer's patients exhibit cognitive fluctuations during all stages of the disease. Though it is thought that contextual factors are critical for unlocking these hidden memories, understanding the neural basis of cognitive fluctuations has been hampered due to the lack of behavioral approaches to dissociate memories from contextual-performance.
View Article and Find Full Text PDFCamb Q Healthc Ethics
January 2025
Center for Consciousness Science, University of Michigan, Ann Arbor, MI, USA.
Studies have shown that some covertly conscious brain-injured patients, who are behaviorally unresponsive, can reply to simple questions via neuronal responses. Given the possibility of such neuronal responses, Andrew Peterson et al. have argued that there is warrant for some covertly conscious patients being included in low-stakes medical decisions using neuronal responses, which could protect and enhance their autonomy.
View Article and Find Full Text PDFBrain Commun
January 2025
Department of Psychology, University of California, Riverside, CA 92507, USA.
Visual perceptual learning (VPL), the training-induced improvement in visual tasks, has long been considered the product of neural plasticity at early and local stages of signal processing. However, recent evidence suggests that multiple networks and mechanisms, including stimulus- and task-specific plasticity, concur in generating VPL. Accordingly, early models of VPL, which characterized learning as being local and mostly involving early sensory areas, such as V1, have been updated to embrace these newfound complexities, acknowledging the involvement on parietal (i.
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