We study mammalian mRNA regulation. Current efforts include: 1) noncoding translation; 2) translation-independent functions of mRNAs; 3) functions of mRNA structures
We characterize CRISPR technologies using unbiased genomic assays. We are also exploring the therapeutic potential of CRISPR/Cas13-based mRNA targeting therapeutics for human diseases.
We are currently developing interpretable deep learning models for alternative splicing and CRISPR targeting.
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
Peiguo Shi^, Michael R Murphy, Alexis O Aparicio, Jordan S Kesner, Zhou Fang, Ziheng Chen, Aditi Trehan, Xuebing Wu^
RNA-guided cell targeting with CRISPR/RfxCas13d collateral activity in human cells.
bioRxiv, 2021, 2021.11.30.470032; doi: https://doi.org/10.1101/2021.11.30.470032
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 neurons 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
Transcriptional Pause Sites Delineate Stable Nucleosome-Associated Premature Polyadenylation Suppressed by U1 snRNP
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
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
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
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.
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.
Xuebing's undergraduate publications
Xuebing Wu, Zhirong Sun, Rui Jiang
Logic motif of combinatorial control in transcriptional networks
Nature Precedings, 2008, https://doi.org/10.1038/npre.2008.2227.1
Zhirong Sun, Xuebing Wu
Systems biology: new interdisciplinary science
Communication of China Computer Society, 2006, 2 (3):56-65 (Cover story, review, in Chinese)
Xuebing Wu, Yuanjie Li, Huaiyu Wang
An intelligent transportation system based on virtual force
Physics and Engineering, 2005, 2 (in Chinese)
Postdoc with David Bartel at Whitehead Institute
Postdoc Research Scientist (AHA fellowship)
Postdoc Research Scientist
PhD student (Systems Biology), Columbia University
PhD student, Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University
Bachelor of Arts, Physics, Class of 2024,
Postdoc Research Scientist
Jonathan Algoo 9/20/21-12/14/2021, Rotation student, integrated program
Zhou "Zanis" Fang 11/01/19-12/06/2021, DSI Scholar -> Postdoc
Ziheng "Calvin" Chen 1/15/19-8/10/2020, Master's student, Columbia BME
Qijin Yin 11/25/19-5/10/2020, Visiting PhD student from Tsinghua University
Ellen Alt 5/28/19-8/1/19, Barnard Summer Research Institute, undergraduate student
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
6/4/22 Jordan gave a talk at RNA society meeting 2022
5/25/22 Congrats to Aditi for passing her qualifying exam!
5/4/22 Xuebing gave an invited talk at Weill Cornell and MSKCC
5/3/22 Xuebing gave an invited virtual talk at Prevail Therapeutics / Eli Lilly and Company
4/18/22 Lab welcomes Yang Guo as a postdoctoral research scientist !
11/30/21 First preprint from the lab, led by Peiguo: RNA-guided cell targeting with CRISPR/RfxCas13d collateral activity in human cells
11/16/21 Lab welcomes Barnard/Columbia undergraduate student Yue Yin!
10/14/21 Lab receives Longevity Impetus Grants to study aging!
9/20/21 Lab welcomes Jonathan Algoo as a rotation student in the Fall!
6/21/21 Lab receives 2021 Paul A. Marks Scholars Award , which provides unrestricted fund for 3 years
6/3/21 Lab receives Columbia Precision Medicine Pilot Grant , which supports our study on specialized ribosomes in the heart
5/27/21 Aditi Trehan became PhD student #2 of the Wu lab!
5/18/21 Lab receives the 2021 Pershing Square Sohn Prize for Young Investigators in Cancer Research, which supports our study on cancer-targeting using CRISPR/Cas13 and machine learning. Also see CUIMC News
4/12/21 Aditi Trehan started her rotation in the lab!
9/1/20 Zanis joined the lab as a Postdoc!
8/3/20 The Wu lab welcomes our first PhD student Jordan Kesner!
4/1/20 Lab's COVID-19 research highlighted in HICCC news article Columbia University Cancer Researchers in the Fight Against COVID-19
2/10/20 Shruti Verma joined the lab from Columbia Engineering
12/17/19 Xuebing is named Highly Cited Researcher in 2019 by Web of Science
12/03/19 Michael's AHA postdoc fellowship application was funded. Congratulations!
11/25/19 Qijin Yin started as a visiting scholar. Welcome Qijin!
11/01/19 Welcome four new members to the lab: Peiguo Shi (postdoc), Zanis Fang (MS/DSI Scholar), Katherine Liu and Yixuan Li (undergrad)
10/24/19 Lab moves to our permanent space in P&S
06/28/19 Xuebing gave a talk at the RNA therapeutics conference at UMass Med School.
06/14/19 Xuebing gave a video-taped talk at the RNA Society Annual Meeting in Krakow, Poland.
05/28/19 Ellen Alt joined the lab as a summer research student. Welcome Ellen!
03/01/19 Michael Murphy joined the lab as a staff associate. Welcome Michael!
02/19/19 Alexis Aparicio joined the lab as our first Technician. Welcome Alex!
01/15/19 Ziheng (Calvin) Chen, a graduate student in the BME Master of Science program joined the lab. Welcome Calvin!
12/07/18 Xuebing won the The RNA Society/Scaringe Young Scientist Award 2019
11/01/18 Lab officially started!
We are seeking passionate researchers of all stages (postdocs, graduate students, undergraduates, and research associates) to join our team.
Graduate student looking for rotation or postdoc opportunity: please email me (firstname.lastname@example.org) directly.
Undergraduate students: If you are interested in becoming a graduate student in the lab, you need to first get admitted to one of the PhD programs at Columbia. Students with background in computational biology can apply to the systems biology track within the integrated program. Once you are here, you can choose to rotate or join the lab. We also welcome passionate and creative undergraduate students to work in the lab during summer or regular semesters. Dr. Xuebing Wu is a mentor of the Summer Undergraduate Research Fellowship (SURF) program.