We study mechanisms of gene regulation, focusing on mRNAs in mammalian systems. Our current efforts include: 1) functions and mechanisms of mRNA structures; 2) molecular and cellular consequences of translation in noncoding regions of mRNAs.
We develop sequencing-based assays and CRISPR/Cas-based methods for interrogating and manipulating the structure and function of the genome, epigenome, and transcriptome. Current projects include nascent RNA structure probing and Cas13-based translation modulation.
We develop new quantitative models, machine learning approaches, and computational tools when necessary to analyze data generated in our lab. We also analyze publicly available data set to uncover principles of gene regulation and evolution.
1) A web server called kpLogo for position-specific short motif analysis.
See Wu & Bartel 2017 Nucleic Acids Research
2) Network-based global prediction of human disease genes.
See Wu et al. 2008 Molecular Systems Biology
3) Network alignment-based identification of disease families and associated gene modules.
See Wu et al. 2009 Bioinformatics
Cheng Zhang, Silvana Konermann, Nicholas J. Brideau, Peter Lotfy, Xuebing Wu, Scott J. Novick, Timothy Strutzenberg, Patrick R. Griffin, Patrick D. Hsu, Dmitry Lyumkis
Structural basis for the RNA-guided ribonuclease activity of CRISPR-Cas13d.
Cell, 2018, 175:212-223
Josh Tycko, Luis A Barrera, Nicholas Huston, Ari E Friedland, Xuebing Wu, Jonathan S Gootenberg, Omar O Abudayyeh, Vic E Myer, Christopher J Wilson, Patrick D Hsu
Pairwise library screen systematically interrogates Staphylococcus aureus Cas9 specificity in human cells.
Nature Communications, 2018, 9:2962
Wei Jiang*, Yuehua Wei*, Yong Long*, Arthur Owen, Bingying Wang, Xuebing Wu, Shuo Luo, Yongjun Dang, Dengke K. Ma
A genetic program mediates cold-warming response and promotes stress-induced phenoptosis in C. elegans
eLife, 2018, 7:e35037
X Shawn Liu, Hao Wu, Marine Krzisch, Xuebing Wu, John Graef, Julien Muffat, Denes Hnisz, Charles H. Li, Bingbing Yuan, Chuanyun Xu, Yun Li, Dan Vershkov, Angela Cacace, Richard A. Young,
Rescue of fragile X syndrome by DNA methylation editing of the FMR1 gene
Cell, 2018, 172:979–992
Anthony C. Chiu*, Hiroshi I. Suzuki*, Xuebing Wu, Dig B. Mahat, Andrea J. Kriz, Phillip A. Sharp
U1 snRNP suppresses premature polyadenylation at transcriptional pause sites associated with stable nucleosomes
Molecular Cell, 2018, 69:648–663
Xuebing Wu, David P. Bartel
Widespread influence of 3′-end structures on mammalian mRNA processing and stability
Cell, 2017, 169: 905–917
Xuebing Wu^, David P. Bartel^ (^co-corresponding author)
kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
Nucleic Acids Research, gkx323
X Shawn Liu*, Hao Wu*, Xiong Ji, Yonatan Stelzer, Xuebing Wu, Szymon Czauderna, Jian Shu, Chikdu S. Shivalila, Daniel Dadon, Richard A. Young, Rudolf Jaenisch
Editing DNA methylation in the mammalian genome
Cell, 2016, 167:233-247
Journal highlight: Nature
Xiaochang Zhang, Ming Hui Chen, Xuebing Wu, Andrew Kodani, Jean Fan, Ryan Doan, Manabu Ozawa, Jacqueline Ma, Nobuaki Yoshida, Jeremy F Reiter, Douglas L. Black, Peter V Kharchenko, Phillip A. Sharp, Christopher A. Walsh
Cell type-specific alternative splicing governs cell fate in the developing cerebral cortex
Cell, 2016, 166:1147-1162
F. Ann Ran*, Le Cong*, Winston X. Yan*, David A. Scott, Jonathan S. Gootenberg, Andrea J. Kriz, Bernd Zetsche, Ophir Shalem, Xuebing Wu, Kira S. Makarova, Eugene V. Koonin, Phillip A. Sharp, Feng Zhang
In vivo genome editing using Staphylococcus aureus Cas9
Nature, 2015, 520:186-191
Xuebing Wu, Andrea J. Kriz, Phillip A. Sharp
Target specificity of the CRISPR-Cas9 system
Quantitative Biology, 2014, 2:59-70
Xuebing Wu, David A. Scott, Andrea J. Kriz, Anthony C. Chiu, Patrick D. Hsu, Daniel B.
Dadon, Albert W. Cheng, Alexandro E. Trevino, Silvana Konermann, Sidi Chen, Rudolf Jaenisch, Feng Zhang, Phillip A. Sharp
Genome-wide binding of the CRISPR endonuclease Cas9 in mammalian cells
Nature Biotechnology, 2014, 32:670-676
Sidi Chen, Yuan Xue, Xuebing Wu, Le Cong, Arjun Bhutkar, Eric Bell, Feng Zhang, Robert Langer, Phillip A. Sharp
Global microRNA depletion suppresses tumor angiogenesis
Genes & Development, 2014, 28:1054-1067
Xuebing Wu, Phillip A. Sharp
Divergent transcription: a driving force for new gene origination?
Cell, 2013, 155:990-996
"Leading Edge Featured Article" in Cell
Albert E. Almada*, Xuebing Wu*, Andrea J. Kriz, Christopher B. Burge, Phillip A. Sharp (*equal contribution)
Promoter directionality is controlled by U1 snRNP and polyadenylation signals
Nature, 2013, 499:360–363
Journal highlight: Nature Reviews Genetics | Cell Research | Nature Structural Molecular Biology
Media: MIT News | ScienceDaily | The Christian Science Monitor | Genetic Engineering & Technology News
Le Cong, F Ann Ran, David Cox, Shuailiang Lin, Robert Barretto, Naomi Habib, Patrick D Hsu, Xuebing Wu, Wenyan Jiang, Luciano A Marraffini, Feng Zhang
Multiplex genome engineering using CRISPR/Cas systems
Science, 2013, 339 (6121):819-823.
highlighted in Science | Nature Reviews Genetics | Nature Methods
Patrick D. Hsu, David A. Scott, Joshua A. Weinstein, F. Ann Ran, Silvana Konermann, Vineeta Agarwala, Yinqing Li, Eli J. Fine, Xuebing Wu, Ophir Shalem, Thomas J. Cradick, Luciano A. Marraffini, Gang Bao, and Feng Zhang
DNA Targeting Specificity of the RNA-guided Cas9 Nuclease
Nature Biotechnology, 2013, 31:827-832
Anna Lyubimova, Shalev Itzkovitz, Jan Philipp Junker, Zi Peng Fan, Xuebing Wu, Alexander van Oudenaarden
Single-molecule mRNA detection and counting in mammalian tissue
Nature Protocols, 2013, 8:1743–1758 (download software)
Yong Chen, Xuebing Wu, Rui Jiang
Integrating human omics data to prioritize candidate genes
BMC Medical Genomics, 2013, 6:57
Xuebing Wu, Shao Li
Cancer gene prediction using a network approach
Chapter 11 in: Cancer Systems Biology (Ed. Edwin Wang). Series: Chapman & Hall/CRC Mathematical & Computational Biology, USA: CRC Press 2010. [Amazon]
Xuebing Wu, Qifang Liu, Rui Jiang
Align human interactome with phenome to identify causative genes and networks underlying disease families
Bioinformatics, 2009, 25 (1): 98-104 [Data]
Wanwan Tang, Xuebing Wu, Rui Jiang, Yanda Li
Epistatic module detection for case-control studies: A Bayesian model with a Gibbs sampling strategy
PLoS Genetics, 2009, (5):e1000464
Rui Jiang, Wanwan Tang, Xuebing Wu, Wenhui Fu
A random forest approach to the detection of epistatic interactions in case-control studies
BMC Bioinformatics, 2009, 10 (Suppl 1):S65
Xuebing Wu, Rui Jiang, Michael Q. Zhang, Shao Li
Network-based global inference of human disease genes
Molecular Systems Biology, 2008, 4:189.
AlignPI is the abbreviation of "Align Phenome & Interactome." We have performed the first alignment of human phenome and interactome network, and identified 39 bi-modules and made predictions of candidate genes for 70 diseases. Bi-module consists of two inter-connected modules: a network of diseases and a network of genes.
Links: The AlignPI website provides a search interface for all identified bi-modules and candidate gene predictions, and corresponding functional enrichment analysis.
Citation: Wu X, Liu Q, Jiang R (2009) Align human interactome with phenome to identify causative genes and networks underlying disease families. Bioinformatics, 25 (1): 98-104
Dec 7, 2018 Xuebing won the Scaringe Award from the RNA Society
Nov 1, 2018 Lab officially starts!
We are seeking passionate researchers of all stages (postdocs, graduate students, undergraduates, and research associates) to join our team. Please email me (email@example.com) directly if you are interested in joining our team.
For postdoc position, please apply through http://pa334.peopleadmin.com/postings/2017 .
For technician position, please apply through https://jobs.columbia.edu/applicants/Central?quickFind=173130.
Columbia University undergraduate students: We welcome passionate and creative students to work in the lab. Dr. Xuebing Wu is also a mentor of the Summer Undergraduate Research Fellowship (SURF) program.