<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Xiaofei Zhang</submitter><species>Homo Sapiens</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0002775000</full_dataset_link><submitter_email>zhang_xiaofei@gibh.ac.cn</submitter_email><submitter_affiliation>Guangzhou Institutes of Biomedicine and Health</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol><pubmed_abstract>The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is currently a global pandemic. Extensive investigations have been performed to study the clinical and cellular effects of SARS-CoV-2 infection. Mass spectrometry-based proteomics studies have revealed the cellular changes due to the infection and identified a plethora of interactors for all SARS-CoV-2 components, except for the longest non-structural protein 3 (NSP3). Here, we expressed the full-length NSP3 proteins of SARS-CoV and SARS-CoV-2 to investigate their unique and shared functions using multi-omics methods. We conducted interactome, phosphoproteome, ubiquitylome, transcriptome, and proteome analyses of NSP3-expressing cells. We found that NSP3 plays essential roles in cellular functions such as RNA metabolism and immune response (e.g., NF-κB signal transduction). Interestingly, we showed that SARS-CoV-2 NSP3 has both endoplasmic reticulum and mitochondrial localizations. In addition, SARS-CoV-2 NSP3 is more closely related to mitochondrial ribosomal proteins, whereas SARS-CoV NSP3 is related to the cytosolic ribosomal proteins. In summary, our integrative multi-omics study of NSP3 improves the understanding of the functions of NSP3 and offers potential targets for the development of anti-SARS strategies.</pubmed_abstract><pubmed_title>Integrative Multi-omics Landscape of Non-structural Protein 3 of Severe Acute Respiratory Syndrome Coronaviruses.</pubmed_title><pubmed_authors>Shi Ruona R, Feng Zhenhuan Z, Zhang Xiaofei X</pubmed_authors></additional><is_claimable>false</is_claimable><name>An Integrative multi-omics landscape of SARS-CoVs NSP3</name><description>Proteomic analysis of SARS-CoV NSP3 expressing cells</description><dates><publication>Wed Nov 03 00:00:00 GMT 2021</publication></dates><accession>PXD023927</accession><cross_references><TAXONOMY>9606</TAXONOMY><pubmed>34774773</pubmed></cross_references></HashMap>