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Literature DB >> 31399542

Proteomics Is Not an Island: Multi-omics Integration Is the Key to Understanding Biological Systems.

Bing Zhang^1,2, Bernhard Kuster^3,4.

Abstract

Mesh：

Year: 2019 PMID： 31399542 PMCID： PMC6692779 DOI： 10.1074/mcp.E119.001693

Source DB: PubMed Journal: Mol Cell Proteomics ISSN： 1535-9476 Impact factor: 5.911

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16 in total

1. metaQuantome: An Integrated, Quantitative Metaproteomics Approach Reveals Connections Between Taxonomy and Protein Function in Complex Microbiomes.

Authors: Caleb W Easterly; Ray Sajulga; Subina Mehta; James Johnson; Praveen Kumar; Shane Hubler; Bart Mesuere; Joel Rudney; Timothy J Griffin; Pratik D Jagtap
Journal: Mol Cell Proteomics Date: 2019-06-24 Impact factor: 5.911

2. An Integrative Analysis of Tumor Proteomic and Phosphoproteomic Profiles to Examine the Relationships Between Kinase Activity and Phosphorylation.

Authors: Osama A Arshad; Vincent Danna; Vladislav A Petyuk; Paul D Piehowski; Tao Liu; Karin D Rodland; Jason E McDermott
Journal: Mol Cell Proteomics Date: 2019-06-21 Impact factor: 5.911

3. Interactive Peptide Spectral Annotator: A Versatile Web-based Tool for Proteomic Applications.

Authors: Dain R Brademan; Nicholas M Riley; Nicholas W Kwiecien; Joshua J Coon
Journal: Mol Cell Proteomics Date: 2019-05-14 Impact factor: 5.911

4. Hdac4 Interactions in Huntington's Disease Viewed Through the Prism of Multiomics.

Authors: Joel D Federspiel; Todd M Greco; Krystal K Lum; Ileana M Cristea
Journal: Mol Cell Proteomics Date: 2019-04-30 Impact factor: 5.911

5. A Meta-proteogenomic Approach to Peptide Identification Incorporating Assembly Uncertainty and Genomic Variation.

Authors: Sujun Li; Haixu Tang; Yuzhen Ye
Journal: Mol Cell Proteomics Date: 2019-05-29 Impact factor: 5.911

6. Graph Algorithms for Condensing and Consolidating Gene Set Analysis Results.

Authors: Sara R Savage; Zhiao Shi; Yuxing Liao; Bing Zhang
Journal: Mol Cell Proteomics Date: 2019-05-29 Impact factor: 5.911

7. Integrative Proteo-genomic Analysis to Construct CNA-protein Regulatory Map in Breast and Ovarian Tumors.

Authors: Weiping Ma; Lin S Chen; Umut Özbek; Sung Won Han; Chenwei Lin; Amanda G Paulovich; Hua Zhong; Pei Wang
Journal: Mol Cell Proteomics Date: 2019-07-07 Impact factor: 5.911

8. Extracting Pathway-level Signatures from Proteogenomic Data in Breast Cancer Using Independent Component Analysis.

Authors: Wenke Liu; Samuel H Payne; Sisi Ma; David Fenyö
Journal: Mol Cell Proteomics Date: 2019-06-18 Impact factor: 5.911

Review 9. Exploiting Interdata Relationships in Next-generation Proteomics Analysis.

Authors: Burcu Vitrinel; Hiromi W L Koh; Funda Mujgan Kar; Shuvadeep Maity; Justin Rendleman; Hyungwon Choi; Christine Vogel
Journal: Mol Cell Proteomics Date: 2019-05-24 Impact factor: 5.911

10. PROTEOFORMER 2.0: Further Developments in the Ribosome Profiling-assisted Proteogenomic Hunt for New Proteoforms.

Authors: Steven Verbruggen; Elvis Ndah; Wim Van Criekinge; Siegfried Gessulat; Bernhard Kuster; Mathias Wilhelm; Petra Van Damme; Gerben Menschaert
Journal: Mol Cell Proteomics Date: 2019-04-30 Impact factor: 5.911

6 in total

1. Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation.

Authors: Grant Kinsler; Kerry Geiler-Samerotte; Dmitri A Petrov
Journal: Elife Date: 2020-12-02 Impact factor: 8.140