期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
Recent applications of EEG-based brain-computer-interface in the medical field 被引量:1
1
作者 Xiu-Yun Liu Wen-Long Wang +39 位作者 Miao Liu Ming-Yi Chen Tânia Pereira Desta Yakob Doda Yu-Feng Ke Shou-Yan Wang Dong Wen Xiao-Guang Tong Wei-Guang Li Yi Yang Xiao-Di Han yu-lin sun Xin Song Cong-Ying Hao Zi-Hua Zhang Xin-Yang Liu Chun-Yang Li Rui Peng Xiao-Xin Song Abi Yasi Mei-Jun Pang Kuo Zhang Run-Nan He Le Wu Shu-Geng Chen Wen-Jin Chen Yan-Gong Chao Cheng-Gong Hu Heng Zhang Min Zhou Kun Wang Peng-Fei Liu Chen Chen Xin-Yi Geng Yun Qin Dong-Rui Gao En-Ming Song Long-Long Cheng Xun Chen Dong Ming 《Military Medical Research》 2025年第8期1283-1322,共40页
Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BC... Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BCIs,including their fundamental principles,technical advancements,and applications in specific domains.However,these reviews often focus on signal processing,hardware development,or limited applications such as motor rehabilitation or communication.This paper aims to offer a comprehensive review of recent electroencephalogram(EEG)-based BCI applications in the medical field across 8 critical areas,encompassing rehabilitation,daily communication,epilepsy,cerebral resuscitation,sleep,neurodegenerative diseases,anesthesiology,and emotion recognition.Moreover,the current challenges and future trends of BCIs were also discussed,including personal privacy and ethical concerns,network security vulnerabilities,safety issues,and biocompatibility. 展开更多
关键词 Brain-computer interfaces(BCIs) Medical applications REHABILITATION COMMUNICATION Brain monitoring DIAGNOSIS
原文传递
Novel method for extracting exosomes of hepatocellular carcinoma cells 被引量:9
2
作者 Lin Zhu Xiu-Hua Qu +2 位作者 yu-lin sun Yang-Ming Qian Xiao-Hang Zhao 《World Journal of Gastroenterology》 SCIE CAS 2014年第21期6651-6657,共7页
AIM: To develop a novel method for the rapid and efficient extraction of exosomes secreted by tumor cells.
关键词 EXOSOME Membrane vesicles Tissue transglutaminase 2 Annexin A2 NANOMATERIALS
暂未订购
Identification of biomarkers for hepatocellular carcinoma by semiquantitative immunocytochemistry 被引量:8
3
作者 Hong Mu Kai-Xuan Lin +9 位作者 Hong Zhao Shu Xing Cong Li Fang Liu Hai-Zhen Lu Ze Zhang yu-lin sun Xi-Yun Yan Jian-Qiang Cai Xiao-Hang Zhao 《World Journal of Gastroenterology》 SCIE CAS 2014年第19期5826-5838,共13页
AIM: To investigate the expression of key biomarkers in hepatoma cell lines, tumor cells from patients&#x02019; blood samples, and tumor tissues.
关键词 Hepatocellular carcinoma BIOMARKER IMMUNOCYTOCHEMISTRY Semiquantitative analysis Three-dimensional reconstruction
暂未订购
Aberrant expression of peroxiredoxin 1 and its clinical implications in liver cancer 被引量:4
4
作者 yu-lin sun Jian-Qiang Cai +3 位作者 Fang Liu Xin-Yu Bi Lan-Ping Zhou Xiao-Hang Zhao 《World Journal of Gastroenterology》 SCIE CAS 2015年第38期10840-10852,共13页
AIM: To investigate the expression characteristics of peroxiredoxin 1(PRDX1) m RNA and protein in liver cancer cell lines and tissues.METHODS: The RNA sequencing data from 374 patients with liver cancer were obtained ... AIM: To investigate the expression characteristics of peroxiredoxin 1(PRDX1) m RNA and protein in liver cancer cell lines and tissues.METHODS: The RNA sequencing data from 374 patients with liver cancer were obtained from The Cancer Genome Atlas. The expression and clinical characteristics of PRDX1 m RNA were analyzed in this dataset. The Kaplan-Meier and Cox regression survival analysis was performed to determine the relationship between PRDX1 levels and patient survival. Subcellular fractionation and Western blotting were used to demonstrate the expression of PRDX1 protein in six liver cancer cell lines and 29 paired fresh tissue specimens. After bioinformatics prediction,a putative posttranslational modification form of PRDX1 was observed using immunofluorescence under confocal microscopy and immunoprecipitation analysis in liver cancer cells.RESULTS: The m RNA of PRDX1 gene was upregulated about 1.3-fold in tumor tissue compared with the adjacent non-tumor control(P = 0.005). Its abundance was significantly higher in men than women(P < 0.001). High levels of PRDX1 m RNA were associated with a shorter overall survival time(P =0.04) but not with recurrence-free survival. The Cox regression analysis demonstrated that patients with high PRDX1 m RNA showed about 1.9-fold increase of risk for death(P = 0.03). In liver cancer cells,PRDX1 protein was strongly expressed with multiple different bands. PRDX1 in the cytosol fraction existed near the theoretical molecular weight,whereas two higher molecular weight bands were present in the membrane/organelle and nuclear fractions. Importantly,the theoretical PRDX1 band was increased,whereas the high molecular weight form was decreased in tumor tissues. Subsequent experiments revealed that the high molecular weight bands of PRDX1 might result from the post-translational modification by small ubiquitin-like modifier-1(SUMO1).CONCLUSION: PRDX1 was overexpressed in the tumor tissues of liver cancer and served as an independent poor prognostic factor for overall survival. PRDX1 can be modified by SUMO to play specific roles in hepatocarcinogenesis. 展开更多
关键词 PEROXIREDOXIN 1 LIVER cancer PROGNOSTIC FACTOR POS
暂未订购
Protein and gene expression characteristics of heterogeneous nuclear ribonucleoprotein H1 in esophageal squamous cell carcinoma 被引量:1
5
作者 yu-lin sun Fei Liu +1 位作者 Fang Liu Xiao-Hang Zhao 《World Journal of Gastroenterology》 SCIE CAS 2016年第32期7322-7331,共10页
AIM To investigate the expression characteristics of heterogeneous nuclear ribonucleoprotein H1(HNRNPH1) m RNA and protein in cell lines and tissues of esophageal squamous cell carcinoma(ESCC). METHODS Western blottin... AIM To investigate the expression characteristics of heterogeneous nuclear ribonucleoprotein H1(HNRNPH1) m RNA and protein in cell lines and tissues of esophageal squamous cell carcinoma(ESCC). METHODS Western blotting was used to assess the expression of HNRNPH1 protein in seven ESCC cell lines and 30 paired fresh tissue specimens. The subcellular localization of HNRNPH1 was determined by immunofluorescence in ESCC cells. The RNA sequencing data from 87 patients with ESCC were obtained from the cancer genome atlas(TCGA), and the expression and clinical characteristics analysis of different transcript variants of HNRNPH1 were evaluated in this dataset. In addition, immunohistochemistry was carried out to detect the expression of HNRNPH1 protein in 125 patients.RESULTS The expression of HNRNPH1 protein varied across different ESCC cell lines. It was exclusively restricted to the nucleus of the ESCC cells. There are two transcript variants of the HNRNPH1 gene. Variant 1 was constitutively expressed, and its expression did not change during tumorigenesis. In contrast, levels of variant 2 were low in non-tumorous tissues and were dramatically increased in ESCC(P = 0.0026). The high levels of variant 2 were associated with poorer differentiated tumors(P = 0.0287). Furthermore, in paired fresh tissue specimens, HNRNPH1 protein was overexpressed in 73.3%(22/30) of neoplastic tissues. HNRNPH1 was significantly upregulated in ESCC, with strong staining in 43.2%(54/125) of tumor tissues and 22.4%(28/125) of matched non-cancerous tissues(P = 0.0005). Positive HNRNPH1 expression was significantly associated with poor tumor differentiation degree(P = 0.0337).CONCLUSION The different alternative transcript variants of HNRNPH1 exhibited different expression changes during tumorigenesis. Its m RNA and protein were overexpressed in ESCC and associated with poorer differentiation of tumor cells. These findings highlight the potential of HNRNPH1 in the therapy and diagnosis of ESCC. 展开更多
关键词 Heterogeneous nuclear RIBONUCLEOPROTEIN H1 ESOPHAGEAL SQUAMOUS cell carcinoma Alternative TRANSCRIPT variants Biomarker
暂未订购
上一页 1 下一页 到第
使用帮助 返回顶部