Grants per year
Personal profile
Research Interests
Professor Wang's laboratory is interested in the regulatory mechanisms that control cell-fate decision during development in mammals. They combine genomic and genetic approaches to investigate how microRNAs and chromatin regulators influence gene expression in embryonic stem cells. They also study how Pcdh signaling pathway regulates the survival of spinal interneurons.
Education/Academic qualification
Cell Biology, PhD, New York University
… → 1997
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Optogenomic mapping of chromatin accessibility in live cells
Wang, X., Vafabakhsh, R. & Wang, J.
National Institute of General Medical Sciences
9/24/22 → 7/31/26
Project: Research project
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Vibrio vulnificus toxin-receptor interactions
National Institute of Allergy and Infectious Diseases
6/19/20 → 5/31/23
Project: Research project
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Northwestern University Quantitative Biology Center (NUQuB)
Carthew, R. W., Allada, R., Amaral, L. A. N., Andersen, E. C., Kath, W. L., Allada, R., Amaral, L. A. N., Andersen, E. C., Auffinger, A., Bagheri, N., Braun, R. I., LaBonne, C., Mangan, N. M., Mani, M., Wang, J. & Wang, X.
7/1/18 → 6/30/23
Project: Research project
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Northwestern University Quantitative Biology Center (NUQuB)
Carthew, R. W., Allada, R., Amaral, L. A. N., Andersen, E. C., Auffinger, A., Bagheri, N., Braun, R. I., Kath, W. L., LaBonne, C., Mangan, N. M., Mani, M., Wang, J., Wang, X. & Goldberg, B. B.
7/1/18 → 6/30/23
Project: Research project
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RNA Ligation Pathways in Mammalian Unfolded Protein Response
National Institute of General Medical Sciences
9/30/17 → 6/30/23
Project: Research project
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BoostMEC: predicting CRISPR-Cas9 cleavage efficiency through boosting models
Zarate, O. A., Yang, Y., Wang, X. & Wang, J. P., Dec 2022, In: BMC bioinformatics. 23, 1, 446.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
DNAcycP: a deep learning tool for DNA cyclizability prediction
Li, K., Carroll, M., Vafabakhsh, R., Wang, X. A. & Wang, J. P., Apr 8 2022, In: Nucleic acids research. 50, 6, p. 3142-3154 13 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Nuclear microRNAs release paused Pol II via the DDX21-CDK9 complex
Ohno, S. I., Oikawa, K., Tsurui, T., Harada, Y., Ono, K., Tateishi, M., Mirza, A., Takanashi, M., Kanekura, K., Nagase, K., Shimada, Y., Kudo, Y., Ikeda, N., Ochiya, T., Wang, X. & Kuroda, M., Apr 12 2022, In: Cell reports. 39, 2, 110673.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
RiboDiPA: A novel tool for differential pattern analysis in Ribo-seq data
Li, K., Hope, C. M., Wang, X. A. & Wang, J. P., Dec 2 2021, In: Nucleic acids research. 48, 21, p. 12016-12029 14 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Tumor heterogeneity and clonal cooperation influence the immune selection of IFN-γ-signaling mutant cancer cells
Williams, J. B., Li, S., Higgs, E. F., Cabanov, A., Wang, X., Huang, H. & Gajewski, T. F., Dec 1 2020, In: Nature communications. 11, 1, 602.Research output: Contribution to journal › Article › peer-review
Open Access72 Scopus citations
Datasets
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Chemical Mapping Reveals Novel Features of The Nucleosome Landscape in Mouse Embryonic Stem Cells
Voong, L. N. (Contributor), Xi, L. (Contributor), Sebeson, A. C. (Contributor), Xiong, B. (Contributor), Wang, J. (Contributor) & Wang, X. (Contributor), Gene Expression Omnibus, 2016
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE82127
Dataset
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BoostMEC: predicting CRISPR-Cas9 cleavage efficiency through boosting models
Zarate, O. A. (Creator), Yang, Y. (Creator), Wang, X. (Creator) & Wang, J. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.c.6268879.v1, https://springernature.figshare.com/collections/BoostMEC_predicting_CRISPR-Cas9_cleavage_efficiency_through_boosting_models/6268879/1
Dataset