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10.15252/msb.20167062 http://scihub22266oqcxt.onion/10.15252/msb.20167062 C5371729!5371729 !28348067     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28348067 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Mol+Syst+Biol 2017 ; 13 (3 ): 922 Nephropedia Template TP {{tp|p=28348067 |t=2017. Proteomics and integrative omic approaches for understanding host-pathogen interactions and infectious diseases |pdf=|usr=}}{{28348067 }} gab.com Text Proteomics and integrative omic approaches for understanding host-pathogen interactions and infectious diseases JO: Mol Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28348067 #FOAvip Organisms are constantly exposed to microbial pathogens in their environments. When a pathogen meets its host, a series of intricate intracellular interactions shape the outcome of the infection. The understanding of these host-pathogen interactions is crucial for the development of treatments and preventive measures against infectious diseases. Over the past decade, proteomic approaches have become prime contributors to the discovery and understanding of host-pathogen interactions that represent anti- and pro-pathogenic cellular responses. Here, we review these proteomic methods and their application to studying viral and bacterial intracellular pathogens. We examine approaches for defining spatial and temporal host-pathogen protein interactions upon infection of a host cell. Further expanding the understanding of proteome organization during an infection, we discuss methods that characterize the regulation of host and pathogen proteomes through alterations in protein abundance, localization, and post-translational modifications. Finally, we highlight bioinformatic tools available for analyzing such proteomic datasets, as well as novel strategies for integrating proteomics with other omic tools, such as genomics, transcriptomics, and metabolomics, to obtain a systems-level understanding of infectious diseases. Twit Text FOAVip Proteomics and integrative omic approaches for understanding host-pathogen interactions and infectious diseases ????Mol Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28348067 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28348067 #FOAvip English Wikipedia <ref>{{Cite pmid|28348067 }}</ref> Proteomics and integrative omic approaches for understanding host-pathogen interactions and infectious diseases #MMPMID28348067 Jean Beltran PM ; Federspiel JD ; Sheng X ; Cristea IM Mol Syst Biol 2017[Mar]; 13 (3 ): 922 PMID28348067 show ga Organisms are constantly exposed to microbial pathogens in their environments. When a pathogen meets its host, a series of intricate intracellular interactions shape the outcome of the infection. The understanding of these host-pathogen interactions is crucial for the development of treatments and preventive measures against infectious diseases. Over the past decade, proteomic approaches have become prime contributors to the discovery and understanding of host-pathogen interactions that represent anti- and pro-pathogenic cellular responses. Here, we review these proteomic methods and their application to studying viral and bacterial intracellular pathogens. We examine approaches for defining spatial and temporal host-pathogen protein interactions upon infection of a host cell. Further expanding the understanding of proteome organization during an infection, we discuss methods that characterize the regulation of host and pathogen proteomes through alterations in protein abundance, localization, and post-translational modifications. Finally, we highlight bioinformatic tools available for analyzing such proteomic datasets, as well as novel strategies for integrating proteomics with other omic tools, such as genomics, transcriptomics, and metabolomics, to obtain a systems-level understanding of infectious diseases. |Animals [MESH] |Bacterial Physiological Phenomena [MESH] |Communicable Diseases/*metabolism [MESH] |Computational Biology/*methods [MESH] |Host-Pathogen Interactions [MESH] |Humans [MESH] |Metabolomics [MESH] |Protein Processing, Post-Translational [MESH] |Proteomics/*methods [MESH]Proteomics and integrative omic approaches for understanding host-path(epmc).pdf DeepDyve Pubget Overpricing