Publications by authors named "Peng-Kai Liu"

Receptor-interacting protein kinase 1 (RIPK1) is a threonine/serine kinase that serves as a critical regulator of immune responses and cell death pathways, functioning through both its kinase activity and nonenzymatic scaffolding function. The scaffolding function of RIPK1 contributes to both intrinsic and extrinsic resistance to immune checkpoint blockades (ICBs), making it a compelling therapeutic target for cancer treatment. Recent studies have highlighted RIPK1's potential as a key modulator for improving the efficacy of immune-stimulatory therapies, such as ICBs and X-ray radiotherapy (XRT).

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Chemical proteomics has emerged as a powerful approach to decipher protein function, interactions, and targeted degradation pathways in complex biological systems. Recent advances in chemical labeling strategies, including activity-based protein profiling (ABPP), proximity labeling (PL), and proteolysis-targeting chimeras (PROTACs), have facilitated a deeper understanding of protein function and interaction networks. First, ABPP employs covalent probes to selectively label active enzymes, uncovering functional proteomics and drug-target interactions.

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Understanding the spatial and temporal variation in vegetation coverage in the Haihe River Basin and its influencing factors can provide a theoretical reference for its ecological protection and construction. Based on the datasets of the normalized difference vegetation index (NDVI), natural factors, and socioeconomic factors, the spatial and temporal variation characteristics of the NDVI in the Haihe River Basin from 2000 to 2020 were analyzed by using the maximum value synthesis method, Theil-Sen Median trend analysis, the Mann-Kendall significance test, the Hurst index, and a geographical detector. The factors influencing the spatial differentiation of the NDVI were discussed.

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Article Synopsis
  • * Accurate measurement of these APLs, particularly their specific fatty acid connections, remains difficult with existing methods.
  • * The study introduces a new approach using isotopic labeling and high-resolution ion mobility MS to effectively quantify APL -isomers, revealing their changes in Alzheimer’s disease models, thus paving the way for better understanding of their role in health and disease.
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  • * The review covers different multiplex isotope labeling techniques, their core principles, benefits, and drawbacks, and offers solutions for issues like ratio-distortion.
  • * It also discusses the applications of these techniques in areas like cancer research, neuroproteomics, and single-cell analysis, while guiding researchers in choosing the right methods for their goals and exploring future developments.
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Mass spectrometry-based quantitative lipidomics is an emerging field aiming to uncover the intricate relationships between lipidomes and disease development. However, quantifying lipidomes comprehensively in a high-throughput manner remains challenging owing to the diverse lipid structures. Here we propose a diazobutanone-assisted isobaric labelling strategy as a rapid and robust platform for multiplexed quantitative lipidomics across a broad range of lipid classes, including various phospholipids and glycolipids.

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  • The study focuses on the significance of d-form amino acids (d-AAs) in neurological processes, despite l-enantiomers being more common, and addresses challenges in detecting low-abundance d-AAs using mass spectrometry.
  • It presents a novel labeling strategy, termed CHRISTMAS, that employs chiral derivatization reagents (l-DiLeu and d-DiLeu) to enhance the chromatic separation and quantification of both d- and l-AAs, particularly in complex biological samples.
  • The researchers successfully measured amino acid levels in mouse brains, revealing important differences between d- and l-AAs which may relate to aging, Alzheimer's disease progression, and neurodegeneration.
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Synthesis of type I LacNAc (Galβ1 → 3GlcNAc) oligosaccharides usually suffers from low yields. We herein report the efficient synthesis of type I LacNAc oligosaccharides by chemoselective glycosylation. With 16 relative reactivity values (RRVs) measured thiotoluenyl-linked disaccharide donors and acceptors, chemoselective glycosylations were investigated to obtain optimal conditions.

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