Mu Lab

Publications

Full list of publications can be found at Google Scholar

*: First Authors; #: Corresponding Authors

Selected

Identifying predictors of glioma evolution from longitudinal sequencing
Identifying predictors of glioma evolution from longitudinal sequencing
Quanhua Mu*, Ruichao Chai*, Bo Pang, Yingxi Yang, Hanjie Liu, Zheng Zhao, Zhaoshi Bao, Dong Song, Zhihan Zhu, Mengli Yan, Biaobin Jiang, Zongchao Mo, Jihong Tang, Jason K. Sa, Hee Jin Cho, Yuzhou Chang, Kaitlin Hao Yi Chan, Danson Shek Chun Loi, Sindy Sing Ting Tam, Aden Ka Yin Chan, Angela Ruohao Wu, Zhaoqi Liu, Wai Sang Poon, Ho Keung Ng, Danny Tat Ming Chan, Antonio Iavarone#, Do-Hyun Nam#, Tao Jiang#, Jiguang Wang#
Science Translational Medicine  ·  04 Oct 2023  ·  doi:10.1126/scitranslmed.adh4181
We portrayed the evolution landscape of three subtypes of adult diffuse gliomas, and identified early predictors of glioma evolution, including MYC activation that promoted hypermutation after temozolomide treatment.
Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor
Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor
Huimin Hu*, Quanhua Mu*, Zhaoshi Bao*, Yiyun Chen*, Yanwei Liu*, Jing Chen, Kuanyu Wang, Zheng Wang, Yoonhee Nam, Biaobin Jiang, Jason K. Sa, Hee-Jin Cho, Nam-Gu Her, Chuanbao Zhang, Zheng Zhao, Ying Zhang, Fan Zeng, Fan Wu, Xun Kang, Yuqing Liu, Zenghui Qian, Zhiliang Wang, Ruoyu Huang, Qiangwei Wang, Wei Zhang, Xiaoguang Qiu, Wenbin Li, Do-Hyun Nam, Xiaolong Fan#, Jiguang Wang#, Tao Jiang#
Cell  ·  29 Nov 2018  ·  https://doi.org/10.1016/j.cell.2018.09.038
We discovered MET exon 14 skipping enriched in secondary glioblastomas, which activated MET signaling and brought vulnerability to MET-targeted therapy as demonstrated in pre-clinical models and a clinical trial.
MGMT genomic rearrangements contribute to chemotherapy resistance in gliomas
MGMT genomic rearrangements contribute to chemotherapy resistance in gliomas
Barbara Oldrini*, Nuria Vaquero-Siguero*, Quanhua Mu*, Paula Kroon, Ying Zhang, Marcos Galán-Ganga, Zhaoshi Bao, Zheng Wang, Hanjie Liu, Jason K. Sa, Junfei Zhao, Hoon Kim, Sandra Rodriguez-Perales, Do-Hyun Nam, Roel G. W. Verhaak, Raul Rabadan, Tao Jiang#, Jiguang Wang#, Massimo Squatrito#
Nature Communications  ·  04 Aug 2020  ·  https://doi.org/10.1038/s41467-020-17717-0
We identified multiple novel MGMT fusions in temozolomide-treated recurrent gliomas, and demonstrated that they contribute to temozolomide resistance.

All

2023

Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance
Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance
Yiming Wan*, Quanhua Mu*, Rafał Krzysztoń*, Joseph Cohen, Damiano Coraci, Christopher Helenek, Christopher Tompkins, Annie Lin, Kevin Farquhar, Erin Cross, Jiguang Wang, Gábor Balázsi#
Proceedings of the National Academy of Sciences  ·  05 Dec 2023  ·  https://doi.org/10.1073/pnas.2303114120
We found DNA amplification as a driver of drug resistance, and proposed targeting the amplified DNA via triplex forming oligonucleotides (TFOs).
Identifying predictors of glioma evolution from longitudinal sequencing
Identifying predictors of glioma evolution from longitudinal sequencing
Quanhua Mu*, Ruichao Chai*, Bo Pang, Yingxi Yang, Hanjie Liu, Zheng Zhao, Zhaoshi Bao, Dong Song, Zhihan Zhu, Mengli Yan, Biaobin Jiang, Zongchao Mo, Jihong Tang, Jason K. Sa, Hee Jin Cho, Yuzhou Chang, Kaitlin Hao Yi Chan, Danson Shek Chun Loi, Sindy Sing Ting Tam, Aden Ka Yin Chan, Angela Ruohao Wu, Zhaoqi Liu, Wai Sang Poon, Ho Keung Ng, Danny Tat Ming Chan, Antonio Iavarone#, Do-Hyun Nam#, Tao Jiang#, Jiguang Wang#
Science Translational Medicine  ·  04 Oct 2023  ·  doi:10.1126/scitranslmed.adh4181
We portrayed the evolution landscape of three subtypes of adult diffuse gliomas, and identified early predictors of glioma evolution, including MYC activation that promoted hypermutation after temozolomide treatment.
Genomic profiling and prognostic factors of H3 K27M-mutant spinal cord diffuse glioma
Genomic profiling and prognostic factors of H3 K27M-mutant spinal cord diffuse glioma
Ruichao Chai, Hao Yan, Songyuan An, Bo Pang, Huiyuan Chen, Quanhua Mu, Kenan Zhang, Yaowu Zhang, Yuqing Liu, Xing Liu, Zheng Zhao, Tao Jiang, Yongzhi Wang, Wenqing Jia
Brain Pathology  ·  01 Jul 2023  ·  https://doi.org/10.1111/bpa.13153
Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma
Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma
Yoonhee Nam, Harim Koo, Yingxi Yang, Sang Shin, Zhihan Zhu, Donggeon Kim, Hee Jin Cho, Quanhua Mu, Seung Won Choi, Jason K. Sa, Yun Jee Seo, Yejin Kim, Kyoungmin Lee, Jeong-Woo Oh, Yong-Jun Kwon, Woong-Yang Park, Doo-Sik Kong, Ho Jun Seol, Jung-Il Lee, Chul-Kee Park, Hye Won Lee, Yeup Yoon, Jiguang Wang
Genome Medicine  ·  13 Mar 2023  ·  https://doi.org/10.1186/s13073-023-01165-8
scONE-seq: A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors
scONE-seq: A single-cell multi-omics method enables simultaneous dissection of phenotype and genotype heterogeneity from frozen tumors
Lei Yu, Xinlei Wang, Quanhua Mu, Sindy Sing Ting Tam, Danson Shek Chun Loi, Aden K. Y. Chan, Wai Sang Poon, Ho-Keung Ng, Danny T. M. Chan, Jiguang Wang, Angela Ruohao Wu
Science Advances  ·  06 Jan 2023  ·  https://doi.org/10.1126/sciadv.abp8901

2022

MET fusions and splicing variants convergently define a subgroup of glioma sensitive to MET inhibitors
MET fusions and splicing variants convergently define a subgroup of glioma sensitive to MET inhibitors
Ke-Nan Zhang, Zheng Zhao, Jing Chen, Zhaoshi Bao, Rui-Chao Chai, Zhiyan Sun, Lingxiang Wu, Zhiliang Wang, Hanjie Liu, Quanhua Mu, Huimin Hu, Fan Zeng, Zheng Wang, Guanzhang Li, Yuanhao Chang, Qiangwei Wang, Fan Wu, Ying Zhang, Yuqing Liu, Chunjie Jiang, Ulf Dietrich Kahlert, Do-Hyun Nam, Wei Zhang, Chunsheng Kang, Jiguang Wang, Rongjie Tao, Qianghu Wang, Tao Jiang
Holistic Integrative Oncology  ·  20 Nov 2022  ·  https://doi.org/10.1007/s44178-022-00014-9

2021

Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors
Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors
Biaobin Jiang, Quanhua Mu, Fufang Qiu, Xuefeng Li, Weiqi Xu, Jun Yu, Weilun Fu, Yong Cao, Jiguang Wang
Nature Communications  ·  18 Nov 2021  ·  https://doi.org/10.1038/s41467-021-27017-w
Long-Term Succession Shows Interspecies Competition of <i>Geobacter</i> in Exoelectrogenic Biofilms
Long-Term Succession Shows Interspecies Competition of Geobacter in Exoelectrogenic Biofilms
Xuejun Yan*, Qing Du*, Quanhua Mu, Lili Tian, Yuxuan Wan, Chengmei Liao, Lean Zhou, Yuqing Yan, Nan Li, Bruce E. Logan, Xin Wang
Environmental Science & Technology  ·  02 Nov 2021  ·  https://doi.org/10.1021/acs.est.1c03010
Metagenomic and bioanalytical insights into quorum sensing of methanogens in anaerobic digestion systems with or without the addition of conductive filter
Metagenomic and bioanalytical insights into quorum sensing of methanogens in anaerobic digestion systems with or without the addition of conductive filter
Qing Du, Quanhua Mu, Guangxue Wu
Science of The Total Environment  ·  01 Apr 2021  ·  https://doi.org/10.1016/j.scitotenv.2020.144509
CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene Expression
CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene Expression
Quanhua Mu, Jiguang Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics  ·  01 Jan 2021  ·  doi:10.1109/TCBB.2019.2944827
We developed a computational method to infer copy number alterations from transcriptomic data of human cancers.

2020

CELLO: a longitudinal data analysis toolbox untangling cancer evolution
CELLO: a longitudinal data analysis toolbox untangling cancer evolution
Biaobin Jiang, Dong Song, Quanhua Mu, Jiguang Wang
Quantitative Biology  ·  01 Sep 2020  ·  https://doi.org/10.1007/s40484-020-0218-1
MGMT genomic rearrangements contribute to chemotherapy resistance in gliomas
MGMT genomic rearrangements contribute to chemotherapy resistance in gliomas
Barbara Oldrini*, Nuria Vaquero-Siguero*, Quanhua Mu*, Paula Kroon, Ying Zhang, Marcos Galán-Ganga, Zhaoshi Bao, Zheng Wang, Hanjie Liu, Jason K. Sa, Junfei Zhao, Hoon Kim, Sandra Rodriguez-Perales, Do-Hyun Nam, Roel G. W. Verhaak, Raul Rabadan, Tao Jiang#, Jiguang Wang#, Massimo Squatrito#
Nature Communications  ·  04 Aug 2020  ·  https://doi.org/10.1038/s41467-020-17717-0
We identified multiple novel MGMT fusions in temozolomide-treated recurrent gliomas, and demonstrated that they contribute to temozolomide resistance.
Ionic Liquid Enriches the Antibiotic Resistome, Especially Efflux Pump Genes, Before Significantly Affecting Microbial Community Structure
Ionic Liquid Enriches the Antibiotic Resistome, Especially Efflux Pump Genes, Before Significantly Affecting Microbial Community Structure
Xiaolong Wang*, Zeyou Chen*, Quanhua Mu*, Xinyan Wu, Jingjing Zhang, Daqing Mao, Yi Luo, Pedro J. J. Alvarez
Environmental Science & Technology  ·  07 Apr 2020  ·  https://doi.org/10.1021/acs.est.9b04116
We found that when the water microbiome was exposed to an ionic liquid, [BMIm][PF6], the resistome was enriched within 24 hours, long before the community strucutre was altered.

2019

Deciphering Brain Complexity Using Single-cell Sequencing
Deciphering Brain Complexity Using Single-cell Sequencing
Quanhua Mu*, Yiyun Chen*, Jiguang Wang
Genomics, Proteomics & Bioinformatics  ·  01 Aug 2019  ·  https://doi.org/10.1016/j.gpb.2018.07.007
We summarized the technologies and computational methods to analyze single cell sequencing data, as well as their application in studying brain diseases.

2018

Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor
Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor
Huimin Hu*, Quanhua Mu*, Zhaoshi Bao*, Yiyun Chen*, Yanwei Liu*, Jing Chen, Kuanyu Wang, Zheng Wang, Yoonhee Nam, Biaobin Jiang, Jason K. Sa, Hee-Jin Cho, Nam-Gu Her, Chuanbao Zhang, Zheng Zhao, Ying Zhang, Fan Zeng, Fan Wu, Xun Kang, Yuqing Liu, Zenghui Qian, Zhiliang Wang, Ruoyu Huang, Qiangwei Wang, Wei Zhang, Xiaoguang Qiu, Wenbin Li, Do-Hyun Nam, Xiaolong Fan#, Jiguang Wang#, Tao Jiang#
Cell  ·  29 Nov 2018  ·  https://doi.org/10.1016/j.cell.2018.09.038
We discovered MET exon 14 skipping enriched in secondary glioblastomas, which activated MET signaling and brought vulnerability to MET-targeted therapy as demonstrated in pre-clinical models and a clinical trial.
Real-Time Imaging Revealed That Exoelectrogens from Wastewater Are Selected at the Center of a Gradient Electric Field
Real-Time Imaging Revealed That Exoelectrogens from Wastewater Are Selected at the Center of a Gradient Electric Field
Qing Du, Quanhua Mu, Tao Cheng, Nan Li, Xin Wang
Environmental Science & Technology  ·  07 Aug 2018  ·  https://doi.org/10.1021/acs.est.8b01468

2017

RNA Exosome Complex-Mediated Control of Redox Status in Pluripotent Stem Cells
RNA Exosome Complex-Mediated Control of Redox Status in Pluripotent Stem Cells
Maria Skamagki, Cheng Zhang, Christian A. Ross, Aparna Ananthanarayanan, Zhong Liu, Quanhua Mu, Uttiya Basu, Jiguang Wang, Rui Zhao, Hu Li, Kitai Kim
Stem Cell Reports  ·  10 Oct 2017  ·  http://dx.doi.org/10.1016/j.stemcr.2017.08.024

2015

Prevalence and proliferation of antibiotic resistance genes in two municipal wastewater treatment plants
Prevalence and proliferation of antibiotic resistance genes in two municipal wastewater treatment plants
Daqing Mao, Shuai Yu, Michal Rysz, Yi Luo, Fengxia Yang, Fengxiang Li, Jie Hou, Quanhua Mu, P.J.J. Alvarez
Water Research  ·  15 Nov 2015  ·  https://doi.org/10.1016/j.watres.2015.09.010
Fate and proliferation of typical antibiotic resistance genes in five full-scale pharmaceutical wastewater treatment plants
Fate and proliferation of typical antibiotic resistance genes in five full-scale pharmaceutical wastewater treatment plants
Jilu Wang, Daqing Mao, Quanhua Mu, Yi Luo
Science of the Total Environment  ·  01 Sep 2015  ·  https://doi.org/10.1016/j.scitotenv.2015.05.046
Enhanced Horizontal Transfer of Antibiotic Resistance Genes in Freshwater Microcosms Induced by an Ionic Liquid
Enhanced Horizontal Transfer of Antibiotic Resistance Genes in Freshwater Microcosms Induced by an Ionic Liquid
Qing Wang, Daqing Mao, Quanhua Mu, Yi Luo
PLOS ONE  ·  07 May 2015  ·  https://doi.org/10.1371/journal.pone.0126784
Occurrence of sulfonamide-, tetracycline-, plasmid-mediated quinolone- and macrolide-resistance genes in livestock feedlots in Northern China
Occurrence of sulfonamide-, tetracycline-, plasmid-mediated quinolone- and macrolide-resistance genes in livestock feedlots in Northern China
Quanhua Mu, Jin Li, Yingxue Sun, Daqing Mao, Qing Wang, Yi Luo
Environmental Science and Pollution Research  ·  01 May 2015  ·  https://doi.org/10.1007/s11356-014-3905-5
Occurrence and distribution of sulfonamides, tetracyclines, quinolones, macrolides, and nitrofurans in livestock manure and amended soils of Northern China
Occurrence and distribution of sulfonamides, tetracyclines, quinolones, macrolides, and nitrofurans in livestock manure and amended soils of Northern China
Jie Hou, Weining Wan, Daqing Mao, Chong Wang, Quanhua Mu, Songyan Qin, Yi Luo
Environmental Science and Pollution Research  ·  01 Mar 2015  ·  https://doi.org/10.1007/s11356-014-3632-y

2014

An Ionic Liquid Facilitates the Proliferation of Antibiotic Resistance Genes Mediated by Class I Integrons
An Ionic Liquid Facilitates the Proliferation of Antibiotic Resistance Genes Mediated by Class I Integrons
Yi Luo, Qing Wang, Qian Lu, Quanhua Mu, Daqing Mao
Environmental Science & Technology Letters  ·  13 May 2014  ·  https://doi.org/10.1021/ez500103v
Persistence of Extracellular DNA in River Sediment Facilitates Antibiotic Resistance Gene Propagation
Persistence of Extracellular DNA in River Sediment Facilitates Antibiotic Resistance Gene Propagation
Daqing Mao, Yi Luo, Jacques Mathieu, Qing Wang, Ling Feng, Quanhua Mu, Chunyan Feng, P. J. J. Alvarez
Environmental Science & Technology  ·  07 Jan 2014  ·  https://doi.org/10.1021/es404280v