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.
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Papers
Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types
TL;DR: It is found that prognostic mRNA genes tend not to be hub genes, and this pattern is unique to the corresponding cancer-type specific network, and the target genes of prognostic miRNA genes show similar patterns.
Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer
Yumeng Wang,Xiaoyan Xu,Dejan Maglic,Michael T. Dill,Kamalika Mojumdar,Patrick Kwok Shing Ng,Kang Jin Jeong,Yiu Huen Tsang,Daniela Moreno,Venkata Hemanjani Bhavana,Xinxin Peng,Zhongqi Ge,Hu Chen,Jun Li,Zhongyuan Chen,H. Zhang,Leng Han,Di Du,Chad J. Creighton,Gordon B. Mills,Fernando D. Camargo,Han Liang +21 more
TL;DR: This study represents a systems-biology approach to characterizing key cancer signaling pathways in the post-genomic era and highlights the importance of Hippo signaling in squamous cell cancers, characterized by frequent amplification of YAP/TAZ, high expression heterogeneity, and significant prognostic patterns.
417
Comprehensive molecular characterization of mitochondrial genomes in human cancers
Yuan Yuan,Young Seok Ju,Young-Wook Kim,Jun Li,Yumeng Wang,Yumeng Wang,Christopher J. Yoon,Yang Yang,Inigo Martincorena,Chad J. Creighton,John N. Weinstein,Yanxun Xu,Leng Han,Hyung Lae Kim,Hidewaki Nakagawa,Keunchil Park,Peter J. Campbell,Peter J. Campbell,Han Liang,Han Liang +19 more
TL;DR: This analysis presents the most definitive mutational landscape of mitochondrial genomes and identifies several hypermutated cases, frequent somatic nuclear transfer of mt DNA and high variability of mtDNA copy number in many cancers.
409
Single-cell reconstruction of the adult human heart during heart failure and recovery reveals the cellular landscape underlying cardiac function
Li Wang,Peng Yu,Bingying Zhou,Jiangping Song,Zheng Li,Mingzhi Zhang,Guangran Guo,Yin Wang,Xiao Chen,Leng Han,Shengshou Hu +10 more
TL;DR: Transcriptome profiling of 21,422 single cells—including cardiomyocytes and neighbouring cells from healthy adults and patients with heart failure and in recovery, and delineate their cellular compositions and interaction networks provides insights into cell-type-targeted intervention of heart diseases.
387
CSCD: a database for cancer-specific circular RNAs
Siyu Xia,Jing Feng,Ke Chen,Yanbing Ma,Jing Gong,Fangfang Cai,Yuxuan Jin,Yang Gao,Linjian Xia,Hong Chang,Lei Wei,Leng Han,Chunjiang He +12 more
TL;DR: A cancer-specific circRNA database is constructed (CSCD) that could significantly contribute to the research for the function and regulation of cancer-associated circRNAs.