• PENG DONG (Principle investigator)

    Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences

    1068 Xueyuan Avenue, Shenzhen University Town

    Shenzhen, Guangdong Province  518055



Research Areas

Super-resolution microscopy; Single-particle tracking; Single-cell biology; Gene regulation; 3D genome structure


2009-2015                                                  Ph.D. in Computational Biology and Bioinformatics

                                                                   Duke University, North Carolina, USA

2005-2009                                                  M.S. in Biology

                                                                   Tsinghua University, Beijing, China

2001-2005                                                  B.E. in Automatic Control

                                                                   Tsinghua University, Beijing, China


2015-2022         Postdocal researcher, Howard Hughes Medical Institute/Janelia Research Campus

·       Develop super-resolution labelling and imaging methods to investigate 3D genome structure in single nucleus

·       Develop single-molecule imaging platform for quantitative understanding of transcriptional regulation in stem cells

·       Apply multiple imaging approaches to investigate phase-separation mechanisms underlying gene regulation.


2010-2015         Graduate student, Computational Biology and Bioinformatics Program, Duke University

·       Developed an integrated platform (including fluorescence biosensor, microfluidic device for live cell imaging and procedures/codes for image processing) for the measurement of E2F transcriptional dynamics at the single-cell level

·       Established quantitative relationship between E2F dynamics and cell cycle entry

·       Elucidated the design principle of Myc/Rb/E2F network and proposed a revised model for the control of cell cycle entry


2006-2009         Graduate student, Medical Systems Biology Research Center, School of Medicine, Tsinghua University

·       Identified miR-133b as an oncogene through miRNA expression profiling

·       Discovered tumorigenic and metastatic function of miR-133b in vitro and in vivo

·       Explored signaling pathways that contributed to the tumorigenic function of miR-133b

·       Confirmed the pathological relevance of miR-133b in clinical samples



  1. Xie L*, Dong P* et al., BRD2 compartmentalizes the accessible genome. Nature Genetics 54 (481–491), (2022).

  2. Xie L*, Dong P* et al., 3D ATAC-PALM: super-resolution imaging of the accessible genome. Nature Methods 17 (430–436), (2020).

  3. Mathey-Prevot B,Parker B, Lm C, Hong C, Dong P et al.Quantifying E2F1 protein dynamics in single cellsQuantitative Biology  8(20–30), (2020).

  4. Piccolo FM, Liu Z, Dong P et al., MeCP2 nuclear dynamics in live neurons results from low and high affinity chromatin interactions. eLife 8:e51449, DOI: 10.7554/eLife.51449, (2019).

  5. Cai D, Feliciano D, Dong P et al., Phase separation of YAP reorganizes genome topology for long-term YAP target gene expression. Nature Cell Biology 21(1571-1589), (2019).

  6. Yu H, Yang F, Dong P et al., NDP52 tunes cortical actin interaction with astral microtubules for accurate spindle orientation. Cell Research 29(666-679), (2019).

  7. Chong SS, Dugast-Darzacq C, Liu Z, Dong P et al. Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Science 361(6400), (2018).

  8. Liu H, Dong P, Ioannou MS et al. Visualizing long-term single-molecule dynamics in vivo by stochastic protein labeling. Proceedings of the National Academy of Sciences of the United States of America 115(2), 343-348 (2018).

  9. Dong P, Zhang C, Parker BT, You LC, Mathey-Prevot B. Cyclin D/CDK4/6 activity controls G1 length in mammalian cells. Plos One 13(1), (2018).

  10. Xie LQ, Torigoe SE, Xiao JF,  Mai DHLi LDavis FPDong P et al. A dynamic interplay of enhancer elements regulates Klf4 expression in naive pluripotency. Genes & development 31(17), 1795-1808 (2017).

  11. Kieffer-Kwon KR, Nimura K, Rao SSP, Xu JJung SPekowska ADose MStevens EMathe EDong P et al. Myc Regulates Chromatin Decompaction and Nuclear Architecture during B Cell Activation. Molecular cell 67(4), 566-+ (2017).

  12. Dong P, Liu Z. Shaping development by stochasticity and dynamics in gene regulation. Open Biol 7(5), (2017).

  13. Li L, Liu H, Dong P et al. Real-time imaging of Huntingtin aggregates diverting target search and gene transcription. eLife 5 (2016).

  14. Grimm JB, English BP, Choi H, Muthusamy AK, Mehl BP, Dong P et al. Bright photoactivatable fluorophores for single-molecule imaging. Nature Methods 13(12), 985-+ (2016).

  15. Dong P, Maddali MV, Srimani JK et al. Division of labour between Myc and G1 cyclins in cell cycle commitment and pace control. Nature Communications 5 (2014).

  16. Qin W*, Dong P*, Ma C* et al. MicroRNA-133b is a key promoter of cervical carcinoma development through the activation of the ERK and AKT1 pathways. Oncogene 31(36), 4067-4075 (2012).

  17. ​Wong JV, Dong P, Nevins JR, Mathey-Prevot B, You LC. Network calisthenics Control of E2F dynamics in cell cycle entry. Cell cycle 10(18), (2011).


  1. Qin W, Dong P, Deng T et al. United States Patent No. US8957039B2. Methods and compositions for the diagnosis and prognosis of cervical intraepithelial neoplasia and cervical cancer.
  2. Qin W, Dong P, Deng T et al. European Patent No. EP2463381A4. Methods and compositions for the diagnosis and prognosis of cervical intraepithelial neoplasia and cervical cancer.
  3. ​Qin W, Dong P, Deng T et al. World Intellectual Property Organization Patent No. WO2011014980A1. Methods and compositions diagnosing cervical cancer and cervical dysplasia, guidding subsequent treatment, determining prognosis, and improving patient survival.