Literature DB >> 32182071

Accelerated Lysis and Proteolytic Digestion of Biopsy-Level Fresh-Frozen and FFPE Tissue Samples Using Pressure Cycling Technology.

Huanhuan Gao1,2, Fangfei Zhang1,2, Shuang Liang1,2, Qiushi Zhang1,2, Mengge Lyu1,2, Liujia Qian1,2, Wei Liu3, Weigang Ge1,2, Chen Chen4, Xiao Yi1,2, Jiang Zhu5, Cong Lu5, Ping Sun6, Kexin Liu3, Yi Zhu1,2, Tiannan Guo1,2.   

Abstract

Pressure cycling technology (PCT)-assisted tissue lysis and digestion have facilitated reproducible and high-throughput proteomic studies of both fresh-frozen (FF) and formalin-fixed paraffin-embedded (FFPE) tissue of biopsy scale for biomarker discovery. Here, we present an improved PCT method accelerating the conventional procedures by about two-fold without sacrificing peptide yield, digestion efficiency, peptide, and protein identification. The time required for processing 16 tissue samples from tissues to peptides is reduced from about 6 to about 3 h. We analyzed peptides prepared from FFPE hepatocellular carcinoma (HCC) tissue samples by the accelerated PCT method using multiple MS acquisition methods, including short-gradient SWATH-MS, PulseDIA-MS, and 10-plex TMT-based shotgun MS. The data showed that up to 8541 protein groups could be reliably quantified from the thus prepared peptide samples. We applied the accelerated sample preparation method to 25 pairs (tumorous and matched benign) of HCC samples followed by a single-shot, 15 min gradient SWATH-MS analysis. An average of 18 453 peptides from 2822 proteins were quantified in at least 20% samples in this cohort, while 1817 proteins were quantified in at least 50% samples. The data not only identified the previously known dysregulated proteins such as MCM7, MAPRE1, and SSRP1 but also discovered promising novel protein markers, including DRAP1 and PRMT5. In summary, we present an accelerated PCT protocol that effectively doubles the throughput of PCT-assisted sample preparation of biopsy-level FF and FFPE samples without compromising protein digestion efficiency, peptide yield, and protein identification.

Entities:  

Keywords:  FFPE; SWATH; TMT; data-independent acquisition; pressure cycling technology; proteomics; sample preparation

Mesh:

Substances:

Year:  2020        PMID: 32182071     DOI: 10.1021/acs.jproteome.9b00790

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

Review 1.  High-throughput proteomic sample preparation using pressure cycling technology.

Authors:  Xue Cai; Zhangzhi Xue; Chunlong Wu; Rui Sun; Liujia Qian; Liang Yue; Weigang Ge; Xiao Yi; Wei Liu; Chen Chen; Huanhuan Gao; Jing Yu; Luang Xu; Yi Zhu; Tiannan Guo
Journal:  Nat Protoc       Date:  2022-08-05       Impact factor: 17.021

2.  Proteomic and Metabolomic Characterization of COVID-19 Patient Sera.

Authors:  Bo Shen; Xiao Yi; Yaoting Sun; Xiaojie Bi; Juping Du; Chao Zhang; Sheng Quan; Fangfei Zhang; Rui Sun; Liujia Qian; Weigang Ge; Wei Liu; Shuang Liang; Hao Chen; Ying Zhang; Jun Li; Jiaqin Xu; Zebao He; Baofu Chen; Jing Wang; Haixi Yan; Yufen Zheng; Donglian Wang; Jiansheng Zhu; Ziqing Kong; Zhouyang Kang; Xiao Liang; Xuan Ding; Guan Ruan; Nan Xiang; Xue Cai; Huanhuan Gao; Lu Li; Sainan Li; Qi Xiao; Tian Lu; Yi Zhu; Huafen Liu; Haixiao Chen; Tiannan Guo
Journal:  Cell       Date:  2020-05-28       Impact factor: 41.582

3.  Multi-organ proteomic landscape of COVID-19 autopsies.

Authors:  Xiu Nie; Liujia Qian; Rui Sun; Bo Huang; Xiaochuan Dong; Qi Xiao; Qiushi Zhang; Tian Lu; Liang Yue; Shuo Chen; Xiang Li; Yaoting Sun; Lu Li; Luang Xu; Yan Li; Ming Yang; Zhangzhi Xue; Shuang Liang; Xuan Ding; Chunhui Yuan; Li Peng; Wei Liu; Xiao Yi; Mengge Lyu; Guixiang Xiao; Xia Xu; Weigang Ge; Jiale He; Jun Fan; Junhua Wu; Meng Luo; Xiaona Chang; Huaxiong Pan; Xue Cai; Junjie Zhou; Jing Yu; Huanhuan Gao; Mingxing Xie; Sihua Wang; Guan Ruan; Hao Chen; Hua Su; Heng Mei; Danju Luo; Dashi Zhao; Fei Xu; Yan Li; Yi Zhu; Jiahong Xia; Yu Hu; Tiannan Guo
Journal:  Cell       Date:  2021-01-09       Impact factor: 41.582

4.  Stratification of follicular thyroid tumours using data-independent acquisition proteomics and a comprehensive thyroid tissue spectral library.

Authors:  Yaoting Sun; Lu Li; Yan Zhou; Weigang Ge; He Wang; Runxin Wu; Wei Liu; Hao Chen; Qi Xiao; Xue Cai; Zhen Dong; Fangfei Zhang; Junhong Xiao; Guangzhi Wang; Yi He; Jinlong Gao; Oi Lian Kon; Narayanan Gopalakrishna Iyer; Haixia Guan; Xiaodong Teng; Yi Zhu; Yongfu Zhao; Tiannan Guo
Journal:  Mol Oncol       Date:  2022-03-12       Impact factor: 7.449

Review 5.  Prostate Cancer Biomarker Development: National Cancer Institute's Early Detection Research Network Prostate Cancer Collaborative Group Review.

Authors:  Michael A Liss; Robin J Leach; Martin G Sanda; Oliver J Semmes
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-22       Impact factor: 4.254

6.  Integrated Transcriptomic and Proteomic Analysis Reveals Up-Regulation of Apoptosis and Small Heat Shock Proteins in Lens of Rats Under Low Temperature.

Authors:  Jiayue Zhou; Jing Wu; Sifan Zheng; Xiangjun Chen; Daizhan Zhou; Xingchao Shentu
Journal:  Front Physiol       Date:  2021-06-17       Impact factor: 4.566

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.