Shangbin Chen

Dr. Shangbin Chen

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2009 in Biophysical Journal
Verified
Journal Article
Closed access
SZShuai Zeng
Shuai Zeng
BLBing Li
Bing Li
SZShaoqun Zeng
Shaoqun Zeng
SCShangbin Chen
Shangbin Chen

6 June 2017 in Scientific Reports
Verified
Journal Article
Open access
PDF file
CGCongdi Guo
Congdi Guo
JPJie Peng
Jie Peng
YZYalun Zhang
Yalun Zhang
ALAnan Li
Anan Li
YLYuxin Li
Yuxin Li
SCShangbin Chen
Shangbin Chen
Corticofugal projection neurons are key components in connecting the neocortex and the subcortical regions. In the barrel field, these neurons have various projection targets and play crucial roles in the rodent whisker sensorimotor system. However, the projection features of corticofugal projection neurons at the single-axon level are far from comprehensive elucidation. Based on a brain-wide positioning system with high-resolution imaging for Thy1-GFP M-line mice brains, we reconstructed and analyzed more than one hundred corticofugal projection neurons in both layer V and VI of barrel cortex. The dual-color imaging made it possible to locate the neurons’ somata, trace their corresponding dendrites and axons and then distinguish the neurons as L5 type I/II or L6 type. The corticofugal projection pattern showed significant diversity across individual neurons. Usually, the L5 type I neurons have greater multi-region projection potential. The thalamus and the midbrain are the most frequent projection targets among the investigated multidirectional projection neurons, and the hypothalamus is particularly unique in that it only appears in multidirectional projection situations. Statistically, the average branch length of apical dendrites in multi-region projection groups is larger than that of single-region projection groups. This study demonstrated a single-axon-level analysis for barrel corticofugal projection neurons, which could provide a micro-anatomical basis for interpreting whisker sensorimotor circuit function.

14 July 2015 in Scientific Reports
Verified
Journal Article
Open access
PDF file
YHYong He
Yong He
HGHui Gong
Hui Gong
BXBenyi Xiong
Benyi Xiong
XXXiaofeng Xu
Xiaofeng Xu
ALAnan Li
Anan Li
SCShangbin Chen
Shangbin Chen
Individual cells play essential roles in the biological processes of the brain. The number of neurons changes during both normal development and disease progression. High-resolution imaging has made it possible to directly count cells. However, the automatic and precise segmentation of touching cells continues to be a major challenge for massive and highly complex datasets. Thus, an integrative cut (iCut) algorithm, which combines information regarding spatial location and intervening and concave contours with the established normalized cut, has been developed. iCut involves two key steps: (1) a weighting matrix is first constructed with the abovementioned information regarding the touching cells and (2) a normalized cut algorithm that uses the weighting matrix is implemented to separate the touching cells into isolated cells. This novel algorithm was evaluated using two types of data: the open SIMCEP benchmark dataset and our micro-optical imaging dataset from a Nissl-stained mouse brain. It has achieved a promising recall/precision of 91.2 ± 2.1%/94.1 ± 1.8% and 86.8 ± 4.1%/87.5 ± 5.7%, respectively, for the two datasets. As quantified using the harmonic mean of recall and precision, the accuracy of iCut is higher than that of some state-of-the-art algorithms. The better performance of this fully automated algorithm can benefit studies of brain cytoarchitecture.

28 October 2021 in Frontiers in Physiology
Verified
Journal Article
Open access
LLLangzhou Liu
Langzhou Liu
HGHuayi Gao
Huayi Gao
AZAlexey Zaikin
Alexey Zaikin
SCShangbin Chen
Shangbin Chen
The accumulation of amyloid β peptide (Aβ) in the brain is hypothesized to be the major factor driving Alzheimer’s disease (AD) pathogenesis. Mounting evidence suggests that astrocytes are the primary target of Aβ neurotoxicity. Aβ is known to interfere with multiple calcium fluxes, thus disrupting the calcium homeostasis regulation of astrocytes, which are likely to produce calcium oscillations. Ca2+ dyshomeostasis has been observed to precede the appearance of clinical symptoms of AD; however, it is experimentally very difficult to investigate the interactions of many mechanisms. Given that Ca2+ disruption is ubiquitously involved in AD progression, it is likely that focusing on Ca2+ dysregulation may serve as a potential therapeutic approach to preventing or treating AD, while current hypotheses concerning AD have so far failed to yield curable therapies. For this purpose, we derive and investigate a concise mathematical model for Aβ-mediated multi-pathway astrocytic intracellular Ca2+ dynamics. This model accounts for how Aβ affects various fluxes contributions through voltage-gated calcium channels, Aβ-formed channels and ryanodine receptors. Bifurcation analysis of Aβ level, which reflected the corresponding progression of the disease, revealed that Aβ significantly induced the increasing [Ca2+]i and frequency of calcium oscillations. The influence of inositol 1,4,5-trisphosphate production (IP3) is also investigated in the presence of Aβ as well as the impact of changes in resting membrane potential. In turn, the Ca2+ flux can be considerably changed by exerting specific interventions, such as ion channel blockers or receptor antagonists. By doing so, a “combination therapy” targeting multiple pathways simultaneously has finally been demonstrated to be more effective. This study helps to better understand the effect of Aβ, and our findings provide new insight into the treatment of AD.

1 August 2020 in Journal of Neuroscience Methods
Verified
Journal Article
Closed access
XWXinglong Wu
Xinglong Wu
SCShangbin Chen
Shangbin Chen
JHjin huang
jin huang
ALAnan Li
Anan Li
RXRong Xiao
Rong Xiao
XCXinwu Cui
Xinwu Cui

10 February 2023 in Frontiers in Network Physiology
Verified
Journal Article
Open access
LLLangzhou Liu
Langzhou Liu
HGHuayi Gao
Huayi Gao
JLJinyu Li
Jinyu Li
SCShangbin Chen
Shangbin Chen
Astrocytic fine processes are the most minor structures of astrocytes but host much of the Ca2+ activity. These localized Ca2+ signals spatially restricted to microdomains are crucial for information processing and synaptic transmission. However, the mechanistic link between astrocytic nanoscale processes and microdomain Ca2+ activity remains hazily understood because of the technical difficulties in accessing this structurally unresolved region. In this study, we used computational models to disentangle the intricate relations of morphology and local Ca2+ dynamics involved in astrocytic fine processes. We aimed to answer: 1) how nano-morphology affects local Ca2+ activity and synaptic transmission, 2) and how fine processes affect Ca2+ activity of large process they connect. To address these issues, we undertook the following two computational modeling: 1) we integrated the in vivo astrocyte morphological data from a recent study performed with super-resolution microscopy that discriminates sub-compartments of various shapes, referred to as nodes and shafts to a classic IP3R-mediated Ca2+ signaling framework describing the intracellular Ca2+ dynamics, 2) we proposed a node-based tripartite synapse model linking with astrocytic morphology to predict the effect of structural deficits of astrocytes on synaptic transmission. Extensive simulations provided us with several biological insights: 1) the width of nodes and shafts could strongly influence the spatiotemporal variability of Ca2+ signals properties but what indeed determined the Ca2+ activity was the width ratio between nodes and shafts, 2) the connectivity of nodes to larger processes markedly shaped the Ca2+ signal of the parent process rather than nodes morphology itself, 3) the morphological changes of astrocytic part might potentially induce the abnormality of synaptic transmission by affecting the level of glutamate at tripartite synapses. Taken together, this comprehensive model which integrated theoretical computation and in vivo morphological data highlights the role of the nanomorphology of astrocytes in signal transmission and its possible mechanisms related to pathological conditions.