1.Study of biophysical properties of mechanosensitive channels in cultured dorsal root ganglion neurons of neonatal rats
Shouwei YUE ; Yang ZHANG ; Zibing WAN ; Jianfeng SUI
Chinese Journal of Physical Medicine and Rehabilitation 2003;0(04):-
Objective To investigate the biophysical properties of mechanosensitive(MS) channels in cultured dorsal root ganglion neurons of neonatal rats. Methods MS channels current of cultured dorsal root ganglion neurons of neonatal rats were recorded using cell-attached and inside-out patch-clamp technique.The biophysical properties such as pressure response relationship,current voltage relationship,channel kinetics and ion selectivity were analyzed.Membrane stretch was achieved by the application of negative pressure(suction) to a patch-clamp electrode. Results One type of MS non-selective cation ion channels in the membrane patches tested in cultured dorsal root ganglion neurons of neonatal rats were recorded. Those channels were activated rapidly when suction was applied, and kept active during sustained application of negative pressure and quickly turned off when the suction was released.The MS channels exhibited a nearly linear current voltage relationship in the balance solution.The outward chord conductance was (96.2?3.6)pS (mV is between +40 mV and +60 mV) and the inward slope conductance was (62.5?0.4)pS (mV is between -60 mV and 0 mV). This kind of channels appeared to be outward rectifier.The average reversal potential was (-2.3?0.8)mV.The channel kinetics analysis indicated that suction could significantly increase the duration of short-openings and long-openings and decrease that of long-closings,with no effects on short-closings. Conclusion The results of this study could serve as a reference to the understanding of electric activity of DRG neurons.
2.Identification of immune-related prognostic signature for colon adenocarcinoma based on weighted gene co-expression network analysis.
Xiang HE ; Shouwei WAN ; Qiang HE ; Jixue HOU
Chinese Journal of Cellular and Molecular Immunology 2023;39(6):509-515
Objective To identify immune-related molecular markers in an attempt to predict prognosis of colon adenocarcinoma (COAD). Methods Immune related genes (IREGs) was analyzed based on the TCGA database. Weighted gene co-expression network analysis (WGCNA) and Cox regression analysis were used to establish risk models. According to the median risk score, COAD patients were divided into high risk and low risk groups. The prognostic difference were compared between the two groups. The function of the model was validated using GEO. Results A total of 1015 IREGs was obtained. The established model consisted of three genes: RAR related orphan receptor C (RORC), leucine-rich repeat Fli-I-interacting protein 2 (LRRFIP2) and lectin galactoside-binding soluble galectin 4 (LGALS4). The high-risk group had significantly poorer prognosis than low-risk group in the GEO database, and it was validated using a GEO database. Further analysis via univariate and multivariate Cox regression analyses revealed that risk model could function as independent prognostic factor for COAD patients. Conclusion The risk model based on IREGs can predict the prognosis of patients with COAD.
Humans
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Prognosis
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Adenocarcinoma/genetics*
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Colonic Neoplasms/genetics*
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Gene Expression Profiling
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Lectins