Lingjun Li

Lingjun Li

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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20 November 2017 in Analytical Chemistry
Verified
Journal Article
Closed access
ABAmanda Rae Buchberger
Amanda Rae Buchberger
KDKellen DeLaney
Kellen DeLaney
JJJillian Johnson
Jillian Johnson
LLLingjun Li
Lingjun Li

23 October 2017 in Nature Cell Biology
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Journal Article
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FLFabao Liu
Fabao Liu
FMFengfei Ma
Fengfei Ma
YWYuyuan Wang
Yuyuan Wang
LHLing Hao
Ling Hao
HZHao Zeng
Hao Zeng
WXWei Xu
Wei Xu
Metabolic reprogramming is a hallmark of cancer. Herein we discover that the key glycolytic enzyme pyruvate kinase M2 isoform (PKM2), but not the related isoform PKM1, is methylated by co-activator-associated arginine methyltransferase 1 (CARM1). PKM2 methylation reversibly shifts the balance of metabolism from oxidative phosphorylation to aerobic glycolysis in breast cancer cells. Oxidative phosphorylation depends on mitochondrial calcium concentration, which becomes critical for cancer cell survival when PKM2 methylation is blocked. By interacting with and suppressing the expression of inositol-1,4,5-trisphosphate receptors (InsP3Rs), methylated PKM2 inhibits the influx of calcium from the endoplasmic reticulum to mitochondria. Inhibiting PKM2 methylation with a competitive peptide delivered by nanoparticles perturbs the metabolic energy balance in cancer cells, leading to a decrease in cell proliferation, migration and metastasis. Collectively, the CARM1–PKM2 axis serves as a metabolic reprogramming mechanism in tumorigenesis, and inhibiting PKM2 methylation generates metabolic vulnerability to InsP3R-dependent mitochondrial functions.

11 July 2018 in Scientific Reports
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Journal Article
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SSSara Dutton Sackett
Sara Dutton Sackett
DTDaniel M. Tremmel
Daniel M. Tremmel
FMFengfei Ma
Fengfei Ma
AFAustin K. Feeney
Austin K. Feeney
RMRachel M. Maguire
Rachel M. Maguire
JOJon S. Odorico
Jon S. Odorico
Extracellular matrix (ECM) plays an important developmental role by regulating cell behaviour through structural and biochemical stimulation. Tissue-specific ECM, attained through decellularization, has been proposed in several strategies for tissue and organ replacement. Decellularization of animal pancreata has been reported, but the same methods applied to human pancreas are less effective due to higher lipid content. Moreover, ECM-derived hydrogels can be obtained from many decellularized tissues, but methods have not been reported to obtain human pancreas-derived hydrogel. Using novel decellularization methods with human pancreas we produced an acellular, 3D biological scaffold (hP-ECM) and hydrogel (hP-HG) amenable to tissue culture, transplantation and proteomic applications. The inclusion of a homogenization step in the decellularization protocol significantly improved lipid removal and gelation capability of the resulting ECM, which was capable of gelation at 37 °C in vitro and in vivo, and is cytocompatible with a variety of cell types and islet-like tissues in vitro. Overall, this study demonstrates the characterisation of a novel protocol for the decellularization and delipidization of human pancreatic tissue for the production of acellular ECM and ECM hydrogel suitable for cell culture and transplantation applications. We also report a list of 120 proteins present within the human pancreatic matrisome.

19 July 2024 in Nature Chemical Biology
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DZDi Zhang
Di Zhang
JGJinjun Gao
Jinjun Gao
ZZZhijun Zhu
Zhijun Zhu
QMQianying Mao
Qianying Mao
ZXZhiqiang Xu
Zhiqiang Xu
YZYingming Zhao
Yingming Zhao
Lysine l-lactylation (Kl-la) is a novel protein posttranslational modification (PTM) driven by l-lactate. This PTM has three isomers: Kl-la, N-ε-(carboxyethyl)-lysine (Kce) and d-lactyl-lysine (Kd-la), which are often confused in the context of the Warburg effect and nuclear presence. Here we introduce two methods to differentiate these isomers: a chemical derivatization and high-performance liquid chromatography analysis for efficient separation, and isomer-specific antibodies for high-selectivity identification. We demonstrated that Kl-la is the primary lactylation isomer on histones and dynamically regulated by glycolysis, not Kd-la or Kce, which are observed when the glyoxalase system was incomplete. The study also reveals that lactyl-coenzyme A, a precursor in l-lactylation, correlates positively with Kl-la levels. This work not only provides a methodology for distinguishing other PTM isomers, but also highlights Kl-la as the primary responder to glycolysis and the Warburg effect.

10 July 2017 in Journal of the American Society for Mass Spectrometry
Verified
Journal Article
Closed access
QYQing Yu
Qing Yu
BWBowen Wang
Bowen Wang
ZCZhengwei Chen
Zhengwei Chen
GUGo Urabe
Go Urabe
MGMatthew S. Glover
Matthew S. Glover
LLLingjun Li
Lingjun Li

17 July 2024 in npj Imaging
Verified
Journal Article
Open access
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HZHua Zhang
Hua Zhang
KLKelly H. Lu
Kelly H. Lu
MEMalik Ebbini
Malik Ebbini
PHPenghsuan Huang
Penghsuan Huang
HLHaiyan Lu
Haiyan Lu
LLLingjun Li
Lingjun Li
The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter in biological research. Mapping the landscape of various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions and pathways is believed to provide a more holistic and nuanced exploration of the molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as a forefront technique for spatially mapping the metabolome, lipidome, and proteome within diverse tissue and cell samples. In this review, we offer a systematic survey delineating different MSI techniques for spatially resolved multi-omics analysis, elucidating their principles, capabilities, and limitations. Particularly, we focus on the advancements in methodologies aimed at augmenting the molecular sensitivity and specificity of MSI; and depict the burgeoning integration of MSI-based spatial metabolomics, lipidomics, and proteomics, encompassing the synergy with other imaging modalities. Furthermore, we offer speculative insights into the potential trajectory of MSI technology in the future.