Literature DB >> 28707887

Full Characterization of Localization Diversity in the Human Protein Interactome.

Lixin Cheng1, Kaili Fan2, Yan Huang2, Dong Wang2,3, Kwong-Sak Leung1.   

Abstract

Spatial-temporal regulation among proteins forms dynamic networks in cells. Coexistence in common cell compartments can improve biological reliability of the protein-protein interactions. However, this is usually overlooked by most proteomic studies and leads to unrealistic discoveries. In this paper, we systematically characterize the interaction localization diversity in the human protein interactome using the localization coefficient, a novel metric proposed for assessing how diversely the interactions localize among cell compartments. Our analysis reveals the following: (1) the subcellular networks of the nucleus, cytosol, and mitochondrion are dense but the interactions tend to localize in specific cell compartments, whereas the subnetworks of the secretory-pathway, membrane, and extracellular region are sparse but the interactions are diversely localized; (2) the housekeeping proteins tend to appear in multiple compartments, while the tissue-specific proteins present a relatively flat profile of localization breadth; (3) the autophagy proteins tend to diversely localize in multiple compartments, especially those with high connectivity, compared with the apoptosis proteins; (4) the proteins targeted by small-molecule drugs show no preference for compartments, whereas the proteins directed by antibody-based drugs tend to belong to transmembrane regions with a strong diversity. In summary, our analysis provides a comprehensive view of the subcellular localization for interacting proteins, demonstrates that localization diversity is an important feature of protein interactions, and shows its ability to highlight meaningful biological functions.

Entities:  

Keywords:  compartment-specific network; localization diversity; localization preference; protein−protein interaction; subcellular localization

Mesh:

Substances:

Year:  2017        PMID: 28707887     DOI: 10.1021/acs.jproteome.7b00306

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


  10 in total

1.  Knockdown of lncRNA MALAT1 Alleviates LPS-Induced Acute Lung Injury via Inhibiting Apoptosis Through the miR-194-5p/FOXP2 Axis.

Authors:  Chuan-Chuan Nan; Ning Zhang; Kenneth C P Cheung; Hua-Dong Zhang; Wei Li; Cheng-Ying Hong; Huai-Sheng Chen; Xue-Yan Liu; Nan Li; Lixin Cheng
Journal:  Front Cell Dev Biol       Date:  2020-10-07

2.  Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis.

Authors:  Lixin Cheng; Chuanchuan Nan; Lin Kang; Ning Zhang; Sheng Liu; Huaisheng Chen; Chengying Hong; Youlian Chen; Zhen Liang; Xueyan Liu
Journal:  J Transl Med       Date:  2020-05-29       Impact factor: 5.531

3.  Weighted correlation network bioinformatics uncovers a key molecular biosignature driving the left-sided heart failure.

Authors:  Jiamin Zhou; Wei Zhang; Chunying Wei; Zhiliang Zhang; Dasong Yi; Xiaoping Peng; Jingtian Peng; Ran Yin; Zeqi Zheng; Hongmei Qi; Yunfeng Wei; Tong Wen
Journal:  BMC Med Genomics       Date:  2020-07-03       Impact factor: 3.063

Review 4.  Normalization Methods for the Analysis of Unbalanced Transcriptome Data: A Review.

Authors:  Xueyan Liu; Nan Li; Sheng Liu; Jun Wang; Ning Zhang; Xubin Zheng; Kwong-Sak Leung; Lixin Cheng
Journal:  Front Bioeng Biotechnol       Date:  2019-11-26

5.  Long non-coding RNA pairs to assist in diagnosing sepsis.

Authors:  Xubin Zheng; Kwong-Sak Leung; Man-Hon Wong; Lixin Cheng
Journal:  BMC Genomics       Date:  2021-04-16       Impact factor: 3.969

6.  MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional Information.

Authors:  Muhammad Nabeel Asim; Muhammad Imran Malik; Christoph Zehe; Johan Trygg; Andreas Dengel; Sheraz Ahmed
Journal:  Genes (Basel)       Date:  2020-12-09       Impact factor: 4.096

7.  Identification of key immune genes for sepsis-induced ARDS based on bioinformatics analysis.

Authors:  Ye Chen; Chenhui Qiu; Wanru Cai
Journal:  Bioengineered       Date:  2022-01       Impact factor: 3.269

8.  Spatiotemporal 22q11.21 Protein Network Implicates DGCR8-Dependent MicroRNA Biogenesis as a Risk for Late-Fetal Cortical Development in Psychiatric Diseases.

Authors:  Liang Chen; Wenxiang Cai; Weidi Wang; Zhe Liu; Guan Ning Lin
Journal:  Life (Basel)       Date:  2021-05-31

9.  Protective Effects of Adiponectin against Cobalt Chloride-Induced Apoptosis of Smooth Muscle Cells via cAMP/PKA Pathway.

Authors:  Jingjie Xiao; Yingying Zhang; Wei Zhang; Liang Zhang; Li Li; Junqiang Si; Xinzhi Li; Ketao Ma
Journal:  Biomed Res Int       Date:  2020-10-10       Impact factor: 3.411

10.  SMILE: a novel procedure for subcellular module identification with localisation expansion.

Authors:  Lixin Cheng; Pengfei Liu; Kwong-Sak Leung
Journal:  IET Syst Biol       Date:  2018-04       Impact factor: 1.615

  10 in total

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