Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Pengqiang Zhong"'
A Comprehensive Review on Circulating cfRNA in Plasma: Implications for Disease Diagnosis and Beyond
Publikováno v:
Diagnostics, Vol 14, Iss 10, p 1045 (2024)
Circulating cfRNA in plasma has emerged as a fascinating area of research with potential applications in disease diagnosis, monitoring, and personalized medicine. Circulating RNA sequencing technology allows for the non-invasive collection of importa
Externí odkaz:
https://doaj.org/article/be7e0c1559d440fd920f05a296854149
Autor:
Xiwen Jiang, Jinghai Yan, Hao Huang, Lu Ai, Xuegao Yu, Pengqiang Zhong, Yili Chen, Zhikun Liang, Wancen Qiu, Huiying Huang, Wenyan Yan, Yan Liang, Peisong Chen, Ruizhi Wang
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Introduction: Metagenomic next-generation sequencing (mNGS) has emerged as a powerful tool for rapid pathogen identification in clinical practice. However, the parameters used to interpret mNGS data, such as read count, genus rank, and coverage, lack
Externí odkaz:
https://doaj.org/article/d6eddcb89235414ba0578c81c4ec7e59
Autor:
Ming Chen, Pengqiang Zhong, Mengzhi Hong, Jinfeng Tan, Xuegao Yu, Hao Huang, Juan Ouyang, Xiaoping Lin, Peisong Chen
Publikováno v:
Journal of Translational Medicine, Vol 19, Iss 1, Pp 1-10 (2021)
Abstract To evaluate whether low coverage whole genome sequencing is suitable for the detection of malignant pelvic mass and compare its diagnostic value with traditional tumor markers. We enrolled 63 patients with a pelvic mass suspicious for ovaria
Externí odkaz:
https://doaj.org/article/26020b68a94445c3a60a610bb97b9383
Autor:
Pengqiang Zhong, Mengzhi Hong, Huanyu He, Jiang Zhang, Yaoming Chen, Zhigang Wang, Peisong Chen, Juan Ouyang
Publikováno v:
Diagnostics, Vol 12, Iss 4, p 827 (2022)
We developed an artificial intelligence (AI) model that evaluates the feasibility of AI-assisted multiparameter flow cytometry (MFC) diagnosis of acute leukemia. Two hundred acute leukemia patients and 94 patients with cytopenia(s) or hematocytosis w
Externí odkaz:
https://doaj.org/article/23e6736de19544b280d7e224978c417c
Publikováno v:
Indian Journal of Surgery.
Autor:
Peisong Chen, Juan Ouyang, Xuegao Yu, Jinfeng Tan, Mengzhi Hong, Xiaoping Lin, Hao Huang, Pengqiang Zhong, Ming Chen
Publikováno v:
Journal of Translational Medicine, Vol 19, Iss 1, Pp 1-10 (2021)
Journal of Translational Medicine
Journal of Translational Medicine
To evaluate whether low coverage whole genome sequencing is suitable for the detection of malignant pelvic mass and compare its diagnostic value with traditional tumor markers. We enrolled 63 patients with a pelvic mass suspicious for ovarian maligna
Autor:
Lu Liu, Beizhong Liu, Juanjuan Yao, Zhen Yuan, Shifei Yao, Yi Zhao, Junmei Liu, Pengqiang Zhong, Min Chen, Liang Zhong, Lianwen Li, Dongdong Liu
Publikováno v:
Cellular Signalling. 60:57-64
MicroRNAs have been shown to be involved in various cell processes, including proliferation, apoptosis and differentiation. However, little is known about their function in granulopoiesis. In the present study, overexpression and knockdown experiment
Autor:
Lianwen Li, Beizhong Liu, Dongdong Liu, Min Chen, Liang Zhong, Junmei Liu, Yi Zhao, Shifei Yao, Pengqiang Zhong, Lu Liu, Zhen Yuan, Juanjuan Yao
Publikováno v:
Oncology Research
RAS-responsive element-binding protein 1 (RREB1) is a transcription factor that is implicated in RAS signaling and multiple tumors. However, the role of RREB1 in acute myeloid leukemia has not been studied. We found that RREB1 is overexpressed in AML
Autor:
Liang Zhong, Lianwen Li, Juanjuan Yao, Zhen Yuan, Lu Liu, Beizhong Liu, Min Chen, Yi Zhao, Junmei Liu, Dongdong Liu, Shifei Yao, Pengqiang Zhong
Publikováno v:
Cellular Signalling. 54:1-9
In acute promyelocytic leukemia (APL), all-trans retinoic acid (ATRA) treatment induces granulocytic differentiation and maturation. MicroRNAs play pivotal roles in formation of the leukemic phenotype. Previously, microRNA-382-5p (miR-382-5p) was upr
Autor:
Junmei Liu, Liang Zhong, Juanjuan Yao, Pengqiang Zhong, Zhen Yuan, Dongdong Liu, Lianwen Li, Lu Liu, Yi Zhao, Shifei Yao, Min Chen, Beizhong Liu
Publikováno v:
Translational Cancer Research. 7:1675-1681