4.7 Article

Tissue-Based Proteogenomics Reveals that Human Testis Endows Plentiful Missing Proteins

期刊

JOURNAL OF PROTEOME RESEARCH
卷 14, 期 9, 页码 3583-3594

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.5b00435

关键词

Chromosome-Centric Human Proteome Project; testis; missing proteins; proteome; transcriptome; individual

资金

  1. Chinese National Basic Research Programs [2011CB910600, 2013CB911201, 2014CBA02002-A]
  2. National Natural Science Foundation of China [31400697, 31170780, 31470809, 31400698]
  3. International Collaboration Program [2014DFB30020]
  4. National High-Tech Research and Development Program of China [2012AA020202, 2012AA020502, 2011AA02A114, 2014AA020900, 2014AA020607]
  5. National Natural Science Foundation of Beijing [5152008]
  6. National Mega projects for Key Infectious Diseases [2013zx10003002]
  7. Key Projects in the National Science & Technology Pillar Program [2012BAF14B00]
  8. Fundamental & Advanced Research Project of Chongqing, China [cstc2013jcyjC00001]

向作者/读者索取更多资源

Investigations of missing proteins (MPs) are being endorsed by many bioanalytical strategies. We proposed that proteogenomics of testis tissue was a feasible approach to identify more MPs because testis tissues have higher gene expression levels. Here we combined proteomics and transcriptomics to survey gene expression in human testis tissues from three post-mortem individuals. Proteins were extracted and separated with glycine- and tricine-SDS-PAGE. A total of 9597 protein groups were identified; of these, 166 protein groups were listed as MPs, including 138 groups (83.1%) with transcriptional evidence. A total of 2948 proteins are designated as MPs, and 5.6% of these were identified in this study. The high incidence of MPs in testis tissue indicates that this is a rich resource for MPs. Functional category analysis revealed that the biological processes that testis MPs are mainly involved in are sexual reproduction and spermatogenesis. Some of the MPs are potentially involved in tumorgenesis in other tissues. Therefore, this proteogenomics analysis of individual testis tissues provides convincing evidence of the discovery of MPs. All mass spectrometry data from this study have been deposited in the ProteomeXchange (data set identifier PXD002179).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biochemistry & Molecular Biology

Proteogenomic Characterization of Endometrial Carcinoma

Yongchao Dou, Emily A. Kawaler, Daniel Cui Zhou, Marina A. Gritsenko, Chen Huang, Lili Blumenberg, Alla Karpova, Vladislav A. Petyuk, Sara R. Savage, Shankha Satpathy, Wenke Liu, Yige Wu, Chia-Feng Tsai, Bo Wen, Zhi Li, Song Cao, Jamie Moon, Zhiao Shi, MacIntosh Cornwell, Matthew A. Wyczalkowski, Rosalie K. Chu, Suhas Vasaikar, Hua Zhou, Qingsong Gao, Ronald J. Moore, Kai Li, Sunantha Sethuraman, Matthew E. Monroe, Rui Zhao, David Heiman, Karsten Krug, Karl Clauser, Ramani Kothadia, Yosef Maruvka, Alexander R. Pico, Amanda E. Oliphant, Emily L. Hoskins, Samuel L. Pugh, Sean J. I. Beecroft, David W. Adams, Jonathan C. Jarman, Andy Kong, Hui-Yin Chang, Boris Reva, Yuxing Liao, Dmitry Rykunov, Antonio Colaprico, Xi Steven Chen, Andrzej Czekanski, Marcin Jedryka, Rafa Matkowski, Maciej Wiznerowicz, Tara Hiltke, Emily Boja, Christopher R. Kinsinger, Mehdi Mesri, Ana I. Robles, Henry Rodriguez, David Mutch, Katherine Fuh, Matthew J. Ellis, Deborah DeLair, Mathangi Thiagarajan, D. R. Mani, Gad Getz, Michael Noble, Alexey I. Nesvizhskii, Pei Wang, Matthew L. Anderson, Douglas A. Levine, Richard D. Smith, Samuel H. Payne, Kelly V. Ruggles, Karin D. Rodland, Li Ding, Bing Zhang, Tao Liu, David Fenyo

Article Multidisciplinary Sciences

Microscaled proteogenomic methods for precision oncology

Shankha Satpathy, Eric J. Jaehnig, Karsten Krug, Beom-Jun Kim, Alexander B. Saltzman, Doug W. Chan, Kimberly R. Holloway, Meenakshi Anurag, Chen Huang, Purba Singh, Ari Gao, Noel Namai, Yongchao Dou, Bo Wen, Suhas V. Vasaikar, David Mutch, Mark A. Watson, Cynthia Ma, Foluso O. Ademuyiwa, Mothaffar F. Rimawi, Rachel Schiff, Jeremy Hoog, Samuel Jacobs, Anna Malovannaya, Terry Hyslop, Karl R. Clauser, D. R. Mani, Charles M. Perou, George Miles, Bing Zhang, Michael A. Gillette, Steven A. Carr, Matthew J. Ellis

NATURE COMMUNICATIONS (2020)

Article Biochemical Research Methods

Improving Gene Annotation of the Peanut Genome by Integrated Proteogenomics Workflow

Haifen Li, Ruo Zhou, Shaohang Xu, Xiaoping Chen, Yanbin Hong, Qing Lu, Hao Liu, Baojin Zhou, Xuandiang Liang

JOURNAL OF PROTEOME RESEARCH (2020)

Article Multidisciplinary Sciences

Integrated omics in Drosophila uncover a circadian kinome

Chenwei Wang, Ke Shui, Shanshan Ma, Shaofeng Lin, Ying Zhang, Bo Wen, Wankun Deng, Haodong Xu, Hui Hu, Anyuan Guo, Yu Xue, Luoying Zhang

NATURE COMMUNICATIONS (2020)

Article Multidisciplinary Sciences

Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis

Bo Wen, Kai Li, Yun Zhang, Bing Zhang

NATURE COMMUNICATIONS (2020)

Article Biochemistry & Molecular Biology

Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

Michael A. Gillette, Shankha Satpathy, Song Cao, Saravana M. Dhanasekaran, Suhas V. Vasaikar, Karsten Krug, Francesca Petralia, Yize Li, Wen-Wei Liang, Boris Reva, Azra Krek, Jiayi Ji, Xiaoyu Song, Wenke Liu, Runyu Hong, Lijun Yao, Lili Blumenberg, Sara R. Savage, Michael C. Wendl, Bo Wen, Kai Li, Lauren C. Tang, Melanie A. MacMullan, Shayan C. Avanessian, M. Harry Kane, Chelsea J. Newton, MacIntosh Cornwell, Ramani B. Kothadia, Weiping Ma, Seungyeul Yoo, Rahul Mannan, Pankaj Vats, Chandan Kumar-Sinha, Emily A. Kawaler, Tatiana Omelchenko, Antonio Colaprico, Yifat Geffen, Yosef E. Maruvka, Felipe da Veiga Leprevost, Maciej Wiznerowicz, Zeynep H. Gumus, Rajwanth R. Veluswamy, Galen Hostetter, David Heiman, Matthew A. Wyczalkowski, Tara Hiltke, Mehdi Mesri, Christopher R. Kinsinger, Emily S. Boja, Gilbert S. Omenn, Arul M. Chinnaiyan, Henry Rodriguez, Qing Kay Li, Scott D. Jewell, Mathangi Thiagarajan, Gad Getz, Bing Zhang, David Fenyo, Kelly Ruggles, Marcin P. Cieslik, Ana Robles, Karl R. Clauser, Ramaswamy Govindan, Pei Wang, Alexey Nesvizhskii, Li Ding, D. R. Mani, Steven A. Carr

Review Biochemical Research Methods

Deep Learning in Proteomics

Bo Wen, Wen-Feng Zeng, Yuxing Liao, Zhiao Shi, Sara R. Savage, Wen Jiang, Bing Zhang

PROTEOMICS (2020)

Article Biochemical Research Methods

DeepRescore: Leveraging Deep Learning to Improve Peptide Identification in Immunopeptidomics

Kai Li, Antrix Jain, Anna Malovannaya, Bo Wen, Bing Zhang

PROTEOMICS (2020)

Article Oncology

Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma

Chen Huang, Lijun Chen, Sara R. Savage, Rodrigo Vargas Eguez, Yongchao Dou, Yize Li, Felipe da Veiga Leprevost, Eric J. Jaehnig, Jonathan T. Lei, Bo Wen, Michael Schnaubelt, Karsten Krug, Xiaoyu Song, Marcin Cieslik, Hui-Yin Chang, Matthew A. Wyczalkowski, Kai Li, Antonio Colaprico, Qing Kay Li, David J. Clark, Yingwei Hu, Liwei Cao, Jianbo Pan, Yuefan Wang, Kyung-Cho Cho, Zhiao Shi, Yuxing Liao, Wen Jiang, Meenakshi Anurag, Jiayi Ji, Seungyeul Yoo, Daniel Cui Zhou, Wen-Wei Liang, Michael Wendl, Pankaj Vats, Steven A. Carr, D. R. Mani, Zhen Zhang, Jiang Qian, Xi S. Chen, Alexander R. Pico, Pei Wang, Arul M. Chinnaiyan, Karen A. Ketchum, Christopher R. Kinsinger, Ana Robles, Eunkyung An, Tara Hiltke, Mehdi Mesri, Mathangi Thiagarajan, Alissa M. Weaver, Andrew G. Sikora, Jan Lubinski, Malgorzata Wierzbicka, Maciej Wiznerowicz, Shankha Satpathy, Michael A. Gillette, George Miles, Matthew J. Ellis, Gilbert S. Omenn, Henry Rodriguez, Emily S. Boja, Saravana M. Dhanasekaran, Li Ding, Alexey Nesvizhskii, Adel K. El-Naggar, Daniel W. Chan, Hui Zhang, Bing Zhang

Summary: This study presents a proteogenomic analysis of HPV-negative HNSCCs, identifying potential therapeutic targets and uncovering tumor characteristics such as immune status and resistance mechanisms. The findings suggest new strategies for stratifying HNSCC and improving treatment outcomes.

CANCER CELL (2021)

Article Biochemical Research Methods

Feature Selection Methods for Protein Biomarker Discovery from Proteomics or Multiomics Data

Zhiao Shi, Bo Wen, Qiang Gao, Bing Zhang

Summary: ProMS is a computational algorithm for selecting protein markers based on clustering, showing superior performance in two clinically relevant classification problems compared to existing feature selection methods. It can be extended to the multiomics setting through a constrained weighted k-medoids clustering algorithm, leading to improved performance on independent test data. In addition to performance, ProMS and ProMS_mo provide functional interpretation of selected protein markers and facilitate robust transition to verification and validation platforms.

MOLECULAR & CELLULAR PROTEOMICS (2021)

Article Biochemistry & Molecular Biology

Proteogenomic characterization of pancreatic ductal adenocarcinoma

Liwei Cao, Chen Huang, Daniel Cui Zhou, Yingwei Hu, T. Mamie Lih, Sara R. Savage, Karsten Krug, David J. Clark, Michael Schnaubelt, Lijun Chen, Felipe da Veiga Leprevost, Rodrigo Vargas Eguez, Weiming Yang, Jianbo Pan, Bo Wen, Yongchao Dou, Wen Jiang, Yuxing Liao, Zhiao Shi, Nadezhda Terekhanova, Song Cao, Rita Jui-Hsien Lu, Yize Li, Ruiyang Liu, Houxiang Zhu, Peter Ronning, Yige Wu, Matthew A. Wyczalkowski, Hariharan Easwaran, Ludmila Danilova, Arvind Singh Mer, Seungyeul Yoo, Joshua M. Wang, Wenke Liu, Benjamin Haibe-Kains, Mathangi Thiagarajan, Scott D. Jewell, Galen Hostetter, Chelsea J. Newton, Qing Kay Li, Michael H. Roehr, David Fenyo, Pei Wang, Alexey Nesvizhskii, D. R. Mani, Gilbert S. Omenn, Emily S. Boja, Mehdi Mesri, Ana Robles, Henry Rodriguez, Oliver F. Bathe, Daniel W. Chan, Ralph H. Hruban, Li Ding, Bing Zhang, Hui Zhang

Summary: This study conducted comprehensive proteogenomic analysis of PDAC to understand the molecular alterations that drive oncogenesis. Multiple analyses were performed on tissues from patients, providing valuable resources for early detection and identification of therapeutic targets.
Article Biochemistry & Molecular Biology

A proteogenomic portrait of lung squamous cell carcinoma

Shankha Satpathy, Karsten Krug, Pierre M. Jean Beltran, Sara R. Savage, Francesca Petralia, Chandan Kumar-Sinha, Yongchao Dou, Boris Reva, M. Harry Kane, Shayan C. Avanessian, Suhas V. Vasaikar, Azra Krek, Jonathan T. Lei, Eric J. Jaehnig, Tatiana Omelchenko, Yifat Geffen, Erik J. Bergstrom, Vasileios Stathias, Karen E. Christianson, David Heiman, Marcin P. Cieslik, Song Cao, Xiaoyu Song, Jiayi Ji, Wenke Liu, Kai Li, Bo Wen, Yize Li, Zeynep H. Gumus, Myvizhi Esai Selvan, Rama Soundararajan, Tanvi H. Visal, Maria G. Raso, Edwin Roger Parra, Ozgun Babur, Pankaj Vats, Shankara Anand, Tobias Schraink, MacIntosh Cornwell, Fernanda Martins Rodrigues, Houxiang Zhu, Chia-Kuei Mo, Yuping Zhang, Felipe da Veiga Leprevost, Chen Huang, Arul M. Chinnaiyan, Matthew A. Wyczalkowski, Gilbert S. Omenn, Chelsea J. Newton, Stephan Schurer, Kelly Ruggles, David Fenyo, Scott D. Jewell, Mathangi Thiagarajan, Mehdi Mesri, Henry Rodriguez, Sendurai A. Mani, Namrata D. Udeshi, Gad Getz, James Suh, Qing Kay Li, Galen Hostetter, Paul K. Paik, Saravana M. Dhanasekaran, Ramaswamy Govindan, Li Ding, Ana Robles, Karl R. Clauser, Alexey Nesvizhskii, Pei Wang, Steven A. Carr, Bing Zhang, D. R. Mani, Michael A. Gillette

Summary: The proteogenomic analysis of LSCC reveals a deeper understanding of its biology and potential therapeutic directions. New therapeutic targets and rationale for further exploration have been identified, along with support for complex regulation of metabolic pathways and immune-related research directions. Furthermore, insights from triangulation with other cancers highlight unique and shared vulnerabilities, guiding future research into LSCC biology and treatment.
Article Multidisciplinary Sciences

caAtlas: An immunopeptidome atlas of human cancer

Xinpei Yi, Yuxing Liao, Bo Wen, Kai Li, Yongchao Dou, Sara R. Savage, Bing Zhang

Summary: A comprehensive immunopeptidome atlas of human cancer was constructed by analyzing 43 published immunopeptidomic datasets and standardized analysis of 81.6 million MS/MS spectra, expanding the current knowledge of MHC-bound antigens and providing unprecedented characterization of post-translationally modified antigens and their cancer-association. Systematic analysis of cancer-testis antigens, cancer-associated antigens, and neoantigens was performed, offering a central resource named caAtlas for selection and prioritization of MHC-bound peptides for in vitro HLA binding assay and immunogenicity testing, ultimately paving the way for the development of cancer immunotherapies.

ISCIENCE (2021)

Article Biochemical Research Methods

OmicsEV: a tool for comprehensive quality evaluation of omics data tables

Bo Wen, Eric J. Jaehnig, Bing Zhang

Summary: OmicsEV is an R package that evaluates the quality of omics data tables by using various methods to assess depth, normalization, biological signal, and other factors. It generates comprehensive visual and quantitative evaluation results to help assess data quality and determine the optimal data processing method and parameters.

BIOINFORMATICS (2022)

Article Computer Science, Artificial Intelligence

A community effort to identify and correct mislabeled samples in proteogenomic studies

Seungyeul Yoo, Zhiao Shi, Bo Wen, SoonJye Kho, Renke Pan, Hanying Feng, Hong Chen, Anders Carlsson, Patrik Eden, Weiping Ma, Michael Raymer, Ezekiel J. Maier, Zivana Tezak, Elaine Johanson, Denise Hinton, Henry Rodriguez, Jun Zhu, Emily Boja, Pei Wang, Bing Zhang

Summary: Sample mislabeling or misannotation is a common problem in scientific research, especially in large-scale, multi-omic studies. A crowdsourced challenge was organized to identify and correct mislabels, resulting in the development of an open-source software named COSMO with high accuracy and robustness in multi-omic datasets.

PATTERNS (2021)

暂无数据