Yanling Wu

Dr. Yanling Wu


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Emerging Microbes & Infections
Verified
Journal Article
Open access
XTXiaolong Tian
Xiaolong Tian
CLCheng Li
Cheng Li
AHAiling Huang
Ailing Huang
SXShuai Xia
Shuai Xia
SLSicong Lu
Sicong Lu
Tianlei YingTianlei Ying
Tianlei Ying
The newly identified 2019 novel coronavirus (2019-nCoV) has caused more than 11,900 laboratory-confirmed human infections, including 259 deaths, posing a serious threat to human health. Currently, however, there is no specific antiviral treatment or vaccine. Considering the relatively high identity of receptor-binding domain (RBD) in 2019-nCoV and SARS-CoV, it is urgent to assess the cross-reactivity of anti-SARS CoV antibodies with 2019-nCoV spike protein, which could have important implications for rapid development of vaccines and therapeutic antibodies against 2019-nCoV. Here, we report for the first time that a SARS-CoV-specific human monoclonal antibody, CR3022, could bind potently with 2019-nCoV RBD (KD of 6.3 nM). The epitope of CR3022 does not overlap with the ACE2 binding site within 2019-nCoV RBD. These results suggest that CR3022 may have the potential to be developed as candidate therapeutics, alone or in combination with other neutralizing antibodies, for the prevention and treatment of 2019-nCoV infections. Interestingly, some of the most potent SARS-CoV-specific neutralizing antibodies (e.g. m396, CR3014) that target the ACE2 binding site of SARS-CoV failed to bind 2019-nCoV spike protein, implying that the difference in the RBD of SARS-CoV and 2019-nCoV has a critical impact for the cross-reactivity of neutralizing antibodies, and that it is still necessary to develop novel monoclonal antibodies that could bind specifically to 2019-nCoV RBD.

1 June 2020 in Cell Host & Microbe
Verified
Journal Article
Closed access
YWYanling Wu
Yanling Wu
CLCheng Li
Cheng Li
SXShuai Xia
Shuai Xia
XTXiaolong Tian
Xiaolong Tian
YKYu Kong
Yu Kong
Tianlei YingTianlei Ying
Tianlei Ying

10 March 2022 in Cell
Verified
Journal Article
Closed access
CLCheng Li
Cheng Li
WZWuqiang Zhan
Wuqiang Zhan
ZYZhenlin Yang
Zhenlin Yang
CTChao Tu
Chao Tu
GHGaowei Hu
Gaowei Hu
Tianlei YingTianlei Ying
Tianlei Ying

22 April 2022 in Molecular Therapy
Verified
Journal Article
Open access
YWYanling Wu
Yanling Wu
QLQuanxiao Li
Quanxiao Li
YKYu Kong
Yu Kong
ZWZhi Wang
Zhi Wang
CLCheng Lei
Cheng Lei
Tianlei YingTianlei Ying
Tianlei Ying
The inefficient tumor penetration of therapeutic antibodies has hampered their effective use in treating solid tumors. Here, we report the identification of a fully human single-domain antibody (UdAb), designated as n501, targeting the oncofetal antigen 5T4. The high-resolution crystal structure indicates that n501 adopts a compact structure very similar to that of camelid nanobodies, and binds tightly to all eight leucine-rich repeats of 5T4. Furthermore, the UdAb n501 exhibits exceptionally high stability, with no apparent activity changes over 4 weeks of storage at various temperatures. Importantly, the UdAb-based antibody-drug conjugate (n501-SN38) showed much deeper tumor penetration, significantly higher tumor uptake, and faster accumulation at tumor sites than conventional IgG1-based antibody-drug conjugate (m603-SN38), resulting in improved tumor inhibition. These results highlight the potential of UdAb-based antibody-drug conjugates as a potential class of antitumor therapeutics with characteristics of high stability and strong tumor penetration for the effective treatment of solid tumors.

6 September 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
HCHuiyu Cai
Huiyu Cai
ZZZuobai Zhang
Zuobai Zhang
MWMingkai Wang
Mingkai Wang
BZBozitao Zhong
Bozitao Zhong
QLQuanxiao Li
Quanxiao Li
JTJian Tang
Jian Tang
Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity maturation. Leveraging multi-relational graph construction, multi-level geometric message passing and contrastive pretraining on mass-scale, unlabeled protein structural data, GearBind outperforms previous state-of-the-art approaches on SKEMPI and an independent test set. A powerful ensemble model based on GearBind is then derived and used to successfully enhance the binding of two antibodies with distinct formats and target antigens. ELISA EC50 values of the designed antibody mutants are decreased by up to 17 fold, and KD values by up to 6.1 fold. These promising results underscore the utility of geometric deep learning and effective pretraining in macromolecule interaction modeling tasks.

15 March 2024 in Acta Pharmaceutica Sinica B
Verified
Journal Article
Open access
MWMingkai Wang
Mingkai Wang
Tianlei YingTianlei Ying
Tianlei Ying
YWYanling Wu
Yanling Wu
Single-domain antibodies (sdAbs), initially identified in camelids or sharks and commonly referred to as nanobodies or VNARs, have emerged as a promising alternative to conventional therapeutic antibodies. These sdAbs have many superior physicochemical and pharmacological properties, including small size, good solubility and thermostability, easier accessible epitopes, and strong tissue penetration. However, the inherent challenges associated with the animal origin of sdAbs limit their clinical use. In recent years, various innovative humanization technologies, including complementarity-determining region (CDR) grafting or complete engineering of fully human sdAbs, have been developed to mitigate potential immunogenicity issues and enhance their compatibility. This review provides a comprehensive exploration of sdAbs, emphasizing their distinctive features and the progress in humanization methodologies. In addition, we provide an overview of the recent progress in developing drugs and therapeutic strategies based on sdAbs and their potential in solid tumor treatment, such as sdAb–drug conjugates, multispecific sdAbs, sdAb-based delivery systems, and sdAb-based cell therapy.