Guanyun Wei

Dr. Guanyun Wei


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

View All Publications
27 March 2020 in Frontiers in Molecular Neuroscience
Verified
Journal Article
Open access
PDF file
JGJie Gong
Jie Gong
SHSongqun Hu
Songqun Hu
ZHZigang Huang
Zigang Huang
YHYuebo Hu
Yuebo Hu
XWXiaoning Wang
Xiaoning Wang
DLDong Liu
Dong Liu
Sex-determining region Y box 2 (Sox2), expressed in neural tissues, plays an important role as a transcription factor not only in the pluripotency and proliferation of neuronal cells but also in the opposite function of cell differentiation. Nevertheless, how Sox2 is linked to motor neuron development remains unknown. Here, we showed that Sox2 was localized in the motor neurons of spinal cord by in situ hybridization and cell separation, which acted as a positive regulator of motor neuron development. The deficiency of Sox2 in zebrafish larvae resulted in abnormal PMN development, including truncated but excessively branched CaP axons, loss of MiP, and increase of undifferentiated neuron cells. Importantly, transcriptome analysis showed that Sox2-depleted embryos caused many neurogenesis, axonogenesis, axon guidance, and differentiation-related gene expression changes, which further support the vital function of Sox2 in motor neuron development. Taken together, these data indicate that Sox2 plays a crucial role in the motor neuron development by regulating neuron differentiation and morphology of neuron axons.

1 January 2020 in bioRxiv
Verified
Preprint
Open access
PDF file
YSYun Wei Shi
Yun Wei Shi
PQPeipei Qian
Peipei Qian
JSJiajing Sheng
Jiajing Sheng
ZXZhang Xu
Zhang Xu
XWXiaoning Wang
Xiaoning Wang
DLDong Liu
Dong Liu
Endothelial cells (ECs) constitute a monolayer that covers the interior surface of blood vessels and participates in various processes. Although vascular ECs share certain common properties, they differ in both structure and function. So far, the transcriptome profile and heterogeneity of the full repertoire of ECs in vertebrates remain poorly understood. The relatively small size of zebrafish embryos and larvae allows a feasible analysis of the broad spectrum of ECs within every tissue and organ of a whole organism. ECs have been suggested to be conditional innate immune cells. Whether ECs possess the comparable capacity of involvement in immune response is so far undetermined. Currently, through single-cell RNA sequencing analysis of total ECs of zebrafish we identified a fraction of endothelial cells expressing the marker genes of innate immune cells, named “endoimmune cells”. We found the percentage of these cells gradually increased along with the embryonic development. Then, we observed the patrolling mCherry+ cells displayed the morphology alike to the macrophages and neutrophils. Furthermore, we revealed that some of the kdrl:ras-mCherry ECs were labelled with coro1a:EGFP as well. In addition, we demonstrated that the mCherry+ EC from intersegmental vessel could gradually present the expression of GFP in Tg(kdrl:ras-mCherry∷coro1a:GFP) line, suggesting the endoimmune cells are derived from ECs. Importantly, we showed the endoimmune cells are responsive to the inflammation in zebrafish. Taken together, these data suggested the existence of endoimmune cells, a novel type of subpopulations of ECs. It will provide novel insights for understanding endothelial roles in both normal physiological function and human diseases and enable endoimmune cells-based target therapies.

9 July 2026 in Talanta
Verified
Journal Article
Closed access
TDTingjun Dai
Tingjun Dai
WWWanying Wu
Wanying Wu
BWBinghan Wang
Binghan Wang
GFGuijuan Feng
Guijuan Feng
JWJiajun Wang
Jiajun Wang
BLBing Liu
Bing Liu

Verified
Journal Article
Open access
PDF file
YZYuanrong Zhao
Yuanrong Zhao
WZWang Ziyang
Wang Ziyang
MXMengting Xu
Mengting Xu
FQFuping Qian
Fuping Qian
GWGuanyun Wei
Guanyun Wei
DLDong Liu
Dong Liu
The development of sensory hair cells (HCs) is closely linked to hearing loss. There are still many unidentified genes that may play a crucial role in HC development and function. Glutamine synthetase, Glul, is expressed in sensory hair cells and auditory organs. However, the role of the Glul gene family in the auditory system remains largely unexplored. This study aims to investigate the function of the Glul gene family in the auditory system. The expression patterns of the glul gene family were examined via in situ hybridization in zebrafish embryos. It was revealed that the expression of glula occurred in the otic vesicle, while glulb was expressed in the neuromast. In contrast, glulc did not exhibit any discernible signal. glula loss of function caused abnormal otolith formation and reduced hair cell number in otic vesicles, while glulb knockdown caused a decrease in HC number in both neuromasts and otic vesicles and impaired auditory function. Furthermore, we found that the knockdown of glulb induces apoptosis of hair cells. Transcriptomic analysis of zebrafish with glula and glulb knockdown revealed significant alterations in the expression of many genes associated with auditory organs. The current study sheds light on the requirement of glula and glulb in zebrafish hair cell formation and auditory function.

Verified
Journal Article
Open access
PDF file
DZDai Zao
Dai Zao
NWNingrui Wang
Ningrui Wang
MLMengyao Liu
Mengyao Liu
ZWZhenguo Wang
Zhenguo Wang
GWGuanyun Wei
Guanyun Wei
Prostate cancer (PCa) is a common malignancy among men worldwide. After radical prostatectomy (RP) and radical radiotherapy (RT), patients may experience biochemical recurrence (BCR) of prostate cancer, indicating disease progression. Therefore, it is meaningful to predict and accurately assess the risk of BCR, and a machine-learning-based-model for BCR prediction in PCa based on fatty-acid metabolism and cancer-cell stemness was developed. A stemness prediction model and ssGSEA (single-sample gene set enrichment analysis) empirical cumulative distribution function algorithm were used to score the stemness scoring (mRNAsi) and fatty-acid metabolism of prostate-cancer samples, respectively, and further analysis showed that the two scores of the samples were positively correlated. Based on WGCNA (weighted correlation network analysis), we discovered modules significantly associated with both stemness and fatty-acid metabolism and obtained the genes within them. Then, based on this gene set, 101 algorithm combinations of 10 machine-learning methods were used for training and prediction BCR of PCa, and the model with the best prediction effect was named fat_stemness_BCR. Compared with 23 published PCa BCR models, the fat_stemness_BCR model performs better in TCGA and CPGEA data. To facilitate the use of the model, the trained model was encapsulated into an R package and an online service tool (PCaMLmodel, Version 1.0) was built. The newly developed fat_stemness_SCR model enriches the prognostic research of biochemical recurrence in PCa and provides a new reference for the study of other diseases.