Grants per year
Personal profile
Research Interests
Our group uses high-throughput genomic technologies and computational modeling to examine the regulation of gene transcription and RNA translation underlying oncogenic processes. We aim at revealing novel cancer therapeutic strategies for precision medicine and immunotherapy.
Research Interests
We use high-throughput genomic technologies and computational modeling to study the regulation of gene transcription and RNA translation underlying oncogenic processes. We aim at revealing novel cancer therapeutic strategies for precision medicine and immunotherapy.
Training Experience
| 2017 | Postdoctoral Fellowship, Harvard Medical School |
| 2017 | Postdoctoral Fellowship, Broad Institute of MIT and Harvard |
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computational Genomics, PhD, Rutgers University
… → 2012
Computational Genomics, PhD, Rutgers University.
… → 2012
Research interests keywords
- Bioinformatics
- Cancer Biology
- Computational Biology
- Gene Regulation
- Genomic Medicine/Personalized Medicine
- Genomics
- Inflammation
- Molecular Biology
- Pharmacogenomics
- Systems Biology
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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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Potentiating long-lived antitumor effector CD8+ T cells for TNBC therapy
Zhang, B. (PD/PI), Cui, W. (Co-Investigator), Gradishar, W. J. (Co-Investigator), Chandel, N. (Other) & Ji, Z. (Other)
U.S. Army Medical Research and Materiel Command
12/15/24 → 12/14/27
Project: Research project
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Sustaining antitumor effector CD8+ T cells for cancer therapy
Zhang, B. (PD/PI), Gradishar, W. J. (Co-Investigator), Ji, Z. (Co-Investigator) & Sosman, J. A. (Co-Investigator)
5/17/24 → 4/30/29
Project: Research project
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Targeting Tissue Transglutaminase to Enhance Antitumor Immunity in Ovarian Cancer
Zhang, B. (PD/PI) & Ji, Z. (Co-Investigator)
U.S. Army Medical Research and Materiel Command
9/1/23 → 8/31/26
Project: Research project
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Phenotypic marker-guided development of selective antimetastasis therapeutic leads
Huang, S. (PD/PI), Huang, S. (PD/PI), Ji, Z. (Co-Investigator), Ji, Z. (Co-Investigator), Mendillo, M. L. (Co-Investigator), Mendillo, M. L. (Co-Investigator), Qiang, W. (Co-Investigator) & Qiang, W. (Co-Investigator)
7/1/22 → 6/30/27
Project: Research project
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An ultra-low-input RNase footprinting assay to quantify cytosolic and mitochondrial translation simultaneously
Ji, Z. (PD/PI), Ji, Z. (PD/PI), Ji, Z. (Co-PD/PI), Ji, P. (Co-Investigator) & Ji, P. (Co-Investigator)
National Heart, Lung, and Blood Institute
1/17/22 → 12/31/25
Project: Research project
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Comparative analyses of gene networks mediating cancer metastatic potentials across lineage types
Wang, S., Stroup, E. K., Wang, T. Y., Yang, R. & Ji, Z., Jul 1 2024, In: Briefings in Bioinformatics. 25, 4, bbae357.Research output: Contribution to journal › Article › peer-review
Open Access -
Delineating yeast cleavage and polyadenylation signals using deep learning
Stroup, E. K. & Ji, Z., Aug 20 2024, In: Genome research. 34, 7, p. 1066-1080 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The prolyl isomerase FKBP11 is a secretory translocon accessory factor
DiGuilio, A., Cheng, B., Zhong, F., Jha, R., Wan, Y., Anghel, S. A., Hu, H., Shishkova, E., Ji, Z., Coon, J. J. & Keenan, R. J., Nov 1 2024, In: Molecular biology of the cell. 35, 11, p. ar135Research output: Contribution to journal › Article › peer-review
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Widespread stable noncanonical peptides identified by integrated analyses of ribosome profiling and ORF features
Yang, H., Li, Q., Stroup, E. K., Wang, S. & Ji, Z., Dec 2024, In: Nature communications. 15, 1, 1932.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
Deep learning of human polyadenylation sites at nucleotide resolution reveals molecular determinants of site usage and relevance in disease
Stroup, E. K. & Ji, Z., Dec 2023, In: Nature communications. 14, 1, 7378.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations
Datasets
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Antibody targeting tumor-derived soluble NKG2D ligand sMIC reprograms NK cell homeostatic survival and function and enhances melanoma response to PDL1 blockade therapy
Basher, F. (Creator), Dhar, P. (Creator), Wang, X. (Creator), Wainwright, D. A. (Creator), Zhang, B. (Creator), Sosman, J. (Creator), Ji, Z. (Creator) & Wu, J. D. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.5014769.v2, https://springernature.figshare.com/collections/Antibody_targeting_tumor-derived_soluble_NKG2D_ligand_sMIC_reprograms_NK_cell_homeostatic_survival_and_function_and_enhances_melanoma_response_to_PDL1_blockade_therapy/5014769/2
Dataset
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Additional file 1 of Antibody targeting tumor-derived soluble NKG2D ligand sMIC reprograms NK cell homeostatic survival and function and enhances melanoma response to PDL1 blockade therapy
Basher, F. (Contributor), Dhar, P. (Contributor), Wang, X. (Creator), Wainwright, D. A. (Creator), Zhang, B. (Creator), Sosman, J. (Creator), Ji, Z. (Creator) & Wu, J. D. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.12456779, https://springernature.figshare.com/articles/Additional_file_1_of_Antibody_targeting_tumor-derived_soluble_NKG2D_ligand_sMIC_reprograms_NK_cell_homeostatic_survival_and_function_and_enhances_melanoma_response_to_PDL1_blockade_therapy/12456779
Dataset
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Additional file of Antibody targeting tumor-derived soluble NKG2D ligand sMIC reprograms NK cell homeostatic survival and function and enhances melanoma response to PDL1 blockade therapy
Basher, F. (Creator), Dhar, P. (Creator), Wang, X. (Creator), Wainwright, D. A. (Creator), Zhang, B. (Creator), Sosman, J. (Creator), Ji, Z. (Creator) & Wu, J. D. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.12872204, https://springernature.figshare.com/articles/dataset/Additional_file_of_Antibody_targeting_tumor-derived_soluble_NKG2D_ligand_sMIC_reprograms_NK_cell_homeostatic_survival_and_function_and_enhances_melanoma_response_to_PDL1_blockade_therapy/12872204
Dataset