Dean's blog
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About

I am a Postdoctroal Research Fellow at Boston Children’s Hospital and Harvard Medical School. My research focused on genetic and especially epigenetic regulatory mechanisms on development, aging and cardivascular diseases. Specifically, I am interested in areas: 1) Development of computational methods to detect RNA modifications. 2) Deep learning model for dissecting genetic variant effect. 3) Artificial intelligence (AI) for aging measurement and anti-aging intervention evaluation.

🎓Education

  • Postdoctoral Research Fellow, 2024/9-now

    Boston Children’s Hospital/Harvard Medical School, Boston, USA

  • Ph.D., 2019/9-2024/6

    University of Chinese Academy of Sciences, Shanghai, China

  • BSc, 2015/9-2019/6

    Jinan University, Guangzhou, China

📕Publications

  1. Liu, Y.#, Li, D.#, Wang, X., Niu, K., Bai, J., Qu, L., & Liu, N. (2025). CompasSeq: Epitranscriptome-wide percentage assessment of metabolite-capped RNA at the transcript resolution. Nature Communications, 16(1), 6676.

  2. Zhu, B.#, Li, D.#, Han, G.#, Yao, X., Gu, H., Liu, T., Liu, L., Dai, J., Liu, I. Z., Liang, Y., Zheng, J., Sun, Z., Lin, H., Liu, N., Yu, H., Shi, M., Shen, G., Hu, Z., & Qu, L. (2025). Multiplexing and massive parallel sequencing of targeted DNA methylation to predict chronological age. Frontiers in Aging, 6, 1467639.

  3. Ge, S., Wang, X., Wang, Y., Dong, M., Li, D., Niu, K., Wang, T., Liu, R., Zhao, C., & Liu, N. (2024). Hidden features of NAD-RNA epitranscriptome in Drosophila life cycle. Iscience, 27(1).

  4. Li, D.#, Ge, S.#, Liu, Y.#, Pan, M.#, Wang, X., Han, G., Zou, S., Liu R, Niu K, Zhao C, Liu N, & Qu L. (2023). Epitranscriptome analysis of NAD-capped RNA by spike-in-based normalization and prediction of chronological age. iScience, 26(12).

  5. Li, D., & Liu, N. (2023). Epitranscriptome analysis of NAD-capped RNA by spike-in-based normalization. bioRxiv, 2023–03.

  6. Niu, K.#, Zhang, J.#, Ge, S.#, Li, D.#, Sun, K., You, Y., Qiu, J., Wang, K., Wang, X., Liu, R., Liu, Y., Li, B., Zhu, Z. J., Qu, L., Jiang, H., & Liu, N. (2023). ONE-seq: Epitranscriptome and gene-specific profiling of NAD-capped RNA. Nucleic Acids Research, 51(2), e12–e12.

  7. Ni, J., Ren, Y., Su, T., Zhou, J., Fu, C., Lu, Y., Li, D., Zhao, J., Li Y, Zhang Y, Fang Y, Liu N, Geng Y, Chen Y. (2023). Loss of TDP-43 function underlies hippocampal and cortical synaptic deficits in TDP-43 proteinopathies. Molecular Psychiatry, 28(2), 931–945.

  8. Li, J., Cao, Y., Niu, K., Qiu, J., Wang, H., You, Y., Li, D., Luo, Y., Zhu, Z., Zhang, Y., & Liu, N. (2022). Quantitative acetylomics reveals dynamics of protein lysine acetylation in mouse livers during aging and upon the treatment of nicotinamide mononucleotide. Molecular & Cellular Proteomics, 21(9), 100276.

  9. Wu, X., Niu, K., Wang, X., Zhao, J., Wang, H., Li, D., Wang, H., Miao, T., Yang, Y., Ma, H., Zhang, Y., Pan, L., Liu, R., Bai, H., & Liu, N. (2022). microRNA-252 and FoxO repress inflammaging by a dual inhibitory mechanism on dawdle-mediated TGF-β pathway in Drosophila. Genetics, 220(3), iyab234.

(# co-first authors)