174 Papers
311 Citations
Leng Han is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 50, co-authored 149 publications. Previous affiliations of Leng Han include Kunming Institute of Zoology & University of Texas at Austin.
Chat about Author
Papers
Multi-omics prediction of immune-related adverse events during checkpoint immunotherapy
Ying Jing,Jin Liu,Youqiong Ye,Lei Pan,Hui Deng,Yushu Wang,Yang Yang,Lixia Diao,Steven H. Lin,Gordon B. Mills,Guanglei Zhuang,Xinying Xue,Leng Han +12 more
- 30 May 2024
Abstract: Abstract Immune-related adverse events (irAEs), caused by anti-PD-1/PD-L1 antibodies, can lead to fulminant and even fatal consequences and thus require early detection and aggressive management. However, a comprehensive approach to identify biomarkers of irAE is lacking. Here, we utilize a strategy that combines pharmacovigilance data and omics data, and evaluate associations between multi-omics factors and irAE reporting odds ratio across different cancer types. We identify a bivariate regression model of LCP1 and ADPGK that can accurately predict irAE. We further validate LCP1 and ADPGK as biomarkers in an independent patient-level cohort. Our approach provides a method for identifying potential biomarkers of irAE in cancer immunotherapy using both pharmacovigilance data and multi-omics data.
Lysosome Lipid Signaling from the Periphery to Neurons Regulates Longevity
Marzia Savini,Jonathon Duffy,Andrew Folick,Andrew Folick,Yi-Tang Lee,Pei-Wen Hu,Isaiah A.A. Neve,Feng Jin,Qinghao Zhang,Matthew C. Tillman,Youqiong Ye,William B. Mair,Jin Wang,Leng Han,Eric A. Ortlund,Meng Wang +15 more
TL;DR: This work has discovered that lysosomal lipolysis in peripheral fat storage tissue up-regulates the neuropeptide signaling pathway in the nervous system to promote longevity and induced a fat-to-neuron lipid signaling pathway induced by lysOSomal metabolism and its longevity promoting role in Caenorhabditis elegans.
Single-cell reconstruction of differentiation trajectory reveals a critical role of ETS1 in human cardiac lineage commitment.
Hang Ruan,Hang Ruan,Yingnan Liao,Zongna Ren,Lin Mao,Fang Yao,Peng Yu,Youqiong Ye,Zhao Zhang,Shengli Li,Hanshi Xu,Jiewei Liu,Lixia Diao,Bingying Zhou,Leng Han,Li Wang +15 more
TL;DR: This study characterized the molecular features of different cell types and identified ETS1 as a crucial factor induced by cell-cell crosstalk contributing to cardiac lineage commitment from a pluripotent state, which may have important implications for understanding human heart development at early embryonic stage, as well as directed manipulation of cardiac differentiation in regenerative medicine.
Genome-wide characterization of lncRNAs in acute myeloid leukemia.
Lijun Lei,Siyu Xia,Dan Liu,Xiaoqing Li,Jing Feng,Yaqi Zhu,Jun Hu,Linjian Xia,Lieping Guo,Fei Chen,Hui Cheng,Ke Chen,Hanyang Hu,Xiaohua Chen,Feng Li,Shan Zhong,Nupur Mittal,Guohua Yang,Zhijian Qian,Leng Han,Chunjiang He +20 more
TL;DR: Of the identified lncRNAs, it is found that high expression level lncRNA LOC285758 is associated with the poor prognosis in AML patients and regulates proliferation of AML cell lines by enhancing the expression of HDAC2, a key factor in carcinogenesis.
Path-following control strategy for gantry virtual track train based on distributed virtual driving model
Leng Han,Ren Li-hui,Ji Yuanjin +2 more
- 20 Aug 2023
Abstract: In this paper, a chained architecture of virtual track train (VTT), gantry virtual track train (G-VTT), was proposed. The distributed virtual driving model (DVD model) for G-VTT was proposed to realise the automatic tracking of paths with arbitrary ommon curves. The core of the DVD model is the cascade modular wheel steering angle (WSA) control algorithm based on the optimal lateral acceleration (OLA) of tracking points. A local tracking objective function based on 2-norm was established to find the OLA in the preview window, thereby the optimal local trajectory was realised. The cascade structure of the algorithm gives the DVD model the advantages of modularity and high scalability, facilitating the cascade control of an n-unit G-VTT. The proposed control strategy was verified by co-simulation of G-VTT dynamics model and the DVD model. Results show that the DVD model can effectively improve the path-following ability and small-curve-passing capacity of the G-VTT with remarkable reduction of the lateral deviation (up to about 99.16%) and turning passageway width (about 59.71%); Besides, the yaw and anti-jackknifing stability of the train are also significantly improved, and the DVD model is well adaptable to speed, curve radius, and payload.