Zichuan Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Zichuan Liu has a total of 35 co-authors. Here are the top co-authors by number of shared publications:
- Budong Chen
Department of Neurosurgery, Tianjin Huanhu Hospital
1 shared publication Ce Yang
Tianjin University and Health‐Biotech United Group Joint Laboratory of Innovative Drug Development and Translational Medicine, School of Pharmaceutical Science and Technology, Faculty of Medicine Tianjin University Tianjin China
1 shared publicationChao Jia
Department of Pathology Beijing Children's Hospital Capital Medical University National Center for Children's Health Beijing China
1 shared publicationChenyu Wei
Central South University, Changsha, China
1 shared publicationChong Liu
Tianjin University and Health‐Biotech United Group Joint Laboratory of Innovative Drug Development and Translational Medicine, School of Pharmaceutical Science and Technology, Faculty of Medicine Tianjin University Tianjin China
1 shared publicationDongpeng Zheng
School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University
1 shared publication
Latest Publications
- Open Access
- 9 October 2026
- Published by Wiley in Cell Proliferation
- Vol. 59 (11) , e70285
Chromatin Modifications Orchestrate DNA Repair Pathway Choice: Epigenetics Strategies for Enhancing CRISPR –Cas9‐Mediated Knock‐In Efficiency
CRISPR–Cas9‐mediated precise gene knock‐in relies on homology‐directed repair (HDR) at low frequencies in most mammalian cells, limiting precise gene editing in both research and therapeutic applications. Although multiple strategies have been developed to increase knock‐in efficiency, their application can be restricted by technical complexity, limited applicability, or potential safety concerns. In this review, we propose a shift in focus from conventional strategies toward epigenetic methods to increase knock‐in efficiency. It has been proved that histone modifications such as H3K36me3, H3K9me3, H4K20me2, and H2AK15ub are involved in DNA damage signallings and the recruitment of key HDR and non‐homologous end joining (NHEJ) factors. We further discuss conceptual strategies for transient chromatin modulation to bias repair pathway choice and highlight associated technical challenges and safety considerations. Together, these findings and insights highlight the essential role of histone modification in shaping chromatin states and orchestrating DNA repair dynamics. Accordingly, epigenetic regulation emerges as a compelling strategy to facilitate high‐fidelity gene knock‐in, offering valuable mechanistic clues and actionable epigenetic targets to gene editing for basic research and therapeutic translation.
- 9 October 2026
- Published by Wiley in Cell Proliferation
- Vol. 59 (11) , e70285
Open AccessChromatin Modifications Orchestrate DNA Repair Pathway Choice: Epigenetics Strategies for Enhancing CRISPR –Cas9‐Mediated Knock‐In Efficiency
CRISPR–Cas9‐mediated precise gene knock‐in relies on homology‐directed repair (HDR) at low frequencies in most mammalian cells, limiting precise gene editing in both research and therapeutic applications. Although multiple strategies have been developed to increase knock‐in efficiency, their application can be restricted by technical complexity, limited applicability, or potential safety concerns. In this review, we propose a shift in focus from conventional strategies toward epigenetic methods to increase knock‐in efficiency. It has been proved that histone modifications such as H3K36me3, H3K9me3, H4K20me2, and H2AK15ub are involved in DNA damage signallings and the recruitment of key HDR and non‐homologous end joining (NHEJ) factors. We further discuss conceptual strategies for transient chromatin modulation to bias repair pathway choice and highlight associated technical challenges and safety considerations. Together, these findings and insights highlight the essential role of histone modification in shaping chromatin states and orchestrating DNA repair dynamics. Accordingly, epigenetic regulation emerges as a compelling strategy to facilitate high‐fidelity gene knock‐in, offering valuable mechanistic clues and actionable epigenetic targets to gene editing for basic research and therapeutic translation.
- 17 September 2026
- Published by Wiley in Pediatric Blood & Cancer
- p. e70707
Mixed Chimerism in Recurrent Nasal Polyps After Pediatric Allogeneic Hematopoietic Stem Cell Transplantation
- 17 September 2026
- Published by Wiley in Pediatric Blood & Cancer
- p. e70707
Mixed Chimerism in Recurrent Nasal Polyps After Pediatric Allogeneic Hematopoietic Stem Cell Transplantation
- Open Access
- 18 June 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (25)
TFPI2 promotes NK cell–mediated glioblastoma killing through adhesion and checkpoint control
Immune-mediated killing triggers dynamic transcriptional adaptations in tumor cells that can reciprocally regulate the cytolytic process. Unraveling such feedback mechanisms is crucial for advancing cancer immunotherapy. Here, we identified tissue factor pathway inhibitor 2 (TFPI2) as a central node in natural killer (NK)–glioblastoma cross talk. Using transcriptomic and functional approaches, we demonstrated that NK cell attack induces TFPI2 expression in glioblastoma cells via IL1β- and TNFα-driven activation of NFκB signaling. TFPI2 not only restrains tumor proliferation by suppressing the POU2F2–CCND1 axis but also enhances NK cytotoxicity through two complementary mechanisms: It supports optimal ICAM1 expression to promote NK–tumor adhesion, and it selectively represses the immune checkpoint molecule SIGLEC15, restoring NK cell effector function. In vivo, loss of TFPI2 accelerates glioblastoma progression and abrogates the efficacy of adoptive NK cell therapy in a context-dependent manner; the functionality is likely restricted to tumors retaining the capacity for TFPI2 induction upon inflammatory stimuli. Our findings identified the TFPI2–ICAM1 and TFPI2–SIGLEC15 axes as conditional regulators of immune–tumor adhesion and checkpoint control, supporting TFPI2 as a candidate therapeutic target for a subset of glioblastomas amenable to inflammatory reprogramming.
- 18 June 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (25)
Open AccessTFPI2 promotes NK cell–mediated glioblastoma killing through adhesion and checkpoint control
Immune-mediated killing triggers dynamic transcriptional adaptations in tumor cells that can reciprocally regulate the cytolytic process. Unraveling such feedback mechanisms is crucial for advancing cancer immunotherapy. Here, we identified tissue factor pathway inhibitor 2 (TFPI2) as a central node in natural killer (NK)–glioblastoma cross talk. Using transcriptomic and functional approaches, we demonstrated that NK cell attack induces TFPI2 expression in glioblastoma cells via IL1β- and TNFα-driven activation of NFκB signaling. TFPI2 not only restrains tumor proliferation by suppressing the POU2F2–CCND1 axis but also enhances NK cytotoxicity through two complementary mechanisms: It supports optimal ICAM1 expression to promote NK–tumor adhesion, and it selectively represses the immune checkpoint molecule SIGLEC15, restoring NK cell effector function. In vivo, loss of TFPI2 accelerates glioblastoma progression and abrogates the efficacy of adoptive NK cell therapy in a context-dependent manner; the functionality is likely restricted to tumors retaining the capacity for TFPI2 induction upon inflammatory stimuli. Our findings identified the TFPI2–ICAM1 and TFPI2–SIGLEC15 axes as conditional regulators of immune–tumor adhesion and checkpoint control, supporting TFPI2 as a candidate therapeutic target for a subset of glioblastomas amenable to inflammatory reprogramming.
- Open Access
- 14 May 2022
- Published by Atlantis Press SARL
- p. 241-246
Research on the Reconstruction of Gender Identity Affected by Fashion Consumption on Social Media
- 14 May 2022
- Published by Atlantis Press SARL
- p. 241-246
Open AccessResearch on the Reconstruction of Gender Identity Affected by Fashion Consumption on Social Media
- Open Access
Learning Markov Clustering Networks for Scene Text Detection
A novel framework named Markov Clustering Network (MCN) is proposed for fast and robust scene text detection. MCN predicts instance-level bounding boxes by firstly converting an image into a Stochastic Flow Graph (SFG) and then performing Markov Clustering on this graph. Our method can detect text objects with arbitrary size and orientation without prior knowledge of object size. The stochastic flow graph encode objects' local correlation and semantic information. An object is modeled as strongly connected nodes, which allows flexible bottom-up detection for scale-varying and rotated objects. MCN generates bounding boxes without using Non-Maximum Suppression, and it can be fully parallelized on GPUs. The evaluation on public benchmarks shows that our method outperforms the existing methods by a large margin in detecting multioriented text objects. MCN achieves new state-of-art performance on challenging MSRA-TD500 dataset with precision of 0.88, recall of 0.79 and F-score of 0.83. Also, MCN achieves realtime inference with frame rate of 34 FPS, which is $1.5\times$ speedup when compared with the fastest scene text detection algorithm.Open AccessLearning Markov Clustering Networks for Scene Text Detection
A novel framework named Markov Clustering Network (MCN) is proposed for fast and robust scene text detection. MCN predicts instance-level bounding boxes by firstly converting an image into a Stochastic Flow Graph (SFG) and then performing Markov Clustering on this graph. Our method can detect text objects with arbitrary size and orientation without prior knowledge of object size. The stochastic flow graph encode objects' local correlation and semantic information. An object is modeled as strongly connected nodes, which allows flexible bottom-up detection for scale-varying and rotated objects. MCN generates bounding boxes without using Non-Maximum Suppression, and it can be fully parallelized on GPUs. The evaluation on public benchmarks shows that our method outperforms the existing methods by a large margin in detecting multioriented text objects. MCN achieves new state-of-art performance on challenging MSRA-TD500 dataset with precision of 0.88, recall of 0.79 and F-score of 0.83. Also, MCN achieves realtime inference with frame rate of 34 FPS, which is $1.5\times$ speedup when compared with the fastest scene text detection algorithm.