Literature DB >> 35333527

All-Ion Monitoring-Directed Low-Abundance Protein Quantification Reveals CALB2 as a Key Promoter in Hepatocellular Carcinoma Metastasis.

Hongwei Chu1,2, Qun Zhao2, Yichu Shan2, Shen Zhang2, Zhigang Sui2, Xiao Li2, Fei Fang2, Baofeng Zhao2, Shijun Zhong3, Zhen Liang2, Lihua Zhang2, Yukui Zhang1,2.   

Abstract

Because of the wide abundance range of the proteome, achieving high-coverage quantification of low-abundance proteins is always a major challenge. In this study, a complete pipeline focused on all-ion monitoring (AIM) is first constructed with the concept of untargeted parallel-reaction monitoring, including the seamless connection of protein sample preparation, liquid chromatography mass spectrometry (LC-MS) acquisition, and algorithm development to enable the in-depth quantitative analysis of low-abundance proteins. This pipeline significantly improves the reproducibility and sensitivity of sample preparation and LC-MS acquisition for low-abundance proteins, enabling all the precursors ions fragmented and collected. Contributed by the advantages of the AIM method with all the target precursor acquisition by the data-dependent acquisition (DDA) approach, together with the ability of data-independent acquisition to fragment all precursor ions, the quantitative accuracy and precision of low-abundance proteins are greatly enhanced. As a proof of concept, this pipeline is employed to discover the key differential proteins in the mechanism of hepatocellular carcinoma (HCC) metastasis. On the basis of the superiority of AIM, an extremely low-abundance protein, CALB2, is proposed to promote HCC metastasis in vitro and in vivo. We also reveal that CALB2 activates the TRPV2-Ca2+-ERK1/2 signaling pathway to induce HCC cell metastasis. In summary, we provide a universal AIM pipeline for the high-coverage quantification of low-abundance functional proteins to seek novel insights into the mechanisms of cancer metastasis.

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Year:  2022        PMID: 35333527     DOI: 10.1021/acs.analchem.1c03562

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  Tumor Microenvironment Heterogeneity-Based Score System Predicts Clinical Prognosis and Response to Immune Checkpoint Blockade in Multiple Colorectal Cancer Cohorts.

Authors:  Hufei Wang; Zhi Li; Suwen Ou; Yanni Song; Kangjia Luo; Zilong Guan; Lei Zhao; Rui Huang; Shan Yu
Journal:  Front Mol Biosci       Date:  2022-06-28

2.  Transcriptome-wide m6A methylome analysis uncovered the changes of m6A modification in oral pre-malignant cells compared with normal oral epithelial cells.

Authors:  Xun Chen; Liutao Chen; Yuquan Tang; Yi He; Kuangwu Pan; Linyu Yuan; Weihong Xie; Shangwu Chen; Wei Zhao; Dongsheng Yu
Journal:  Front Oncol       Date:  2022-09-28       Impact factor: 5.738

  2 in total

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