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pmid:25329596

Whole proteome analysis of mouse lymph nodes in cutaneous anthrax.

Taissia G Popova · Virginia Espina · Weidong Zhou · Claudius Mueller · Lance Liotta · Serguei G Popov

PloS one · 2014 doi:10.1371/journal.pone.0110873

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Experiment

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Data

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Whole proteome analysis of mouse lymph nodes in cutaneous anthrax.
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10.1371/journal.pone.0110873
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Taissia G Popova
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Virginia Espina
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Weidong Zhou
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Claudius Mueller
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Lance Liotta
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Serguei G Popov
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This study aimed to characterize a soluble proteome of popliteal lymph nodes during lymphadenitis induced by intradermal injection of Bacillus anthracis Sterne spores in mice using tandem LC-MS/MS and reverse-phase protein microarray with antibodies specific to epitopes of phosphorylated proteins. More than 380 proteins were detected in the normal intra-nodal lymph, while the infectious process resulted in the profound changes in the protein abundances and appearance of 297 unique proteins. These proteins belong to an array of processes reflecting response to wounding, inflammation and perturbations of hemostasis, innate immune response, coagulation and fibrinolysis, regulation of body fluid levels and vascular disturbance among others. Comparison of lymph and serum revealed 83 common proteins. Also, using 71 antibodies specific to total and phosphorylated forms of proteins we carried initial characterization of circulating lymph phosphoproteome which brought additional information regarding signaling pathways operating in the lymphatics. The results demonstrate that the proteome of intra-nodal lymph serves as a sensitive sentinel of the processes occurring within the lymph nodes during infection. The acute innate response of the lymph nodes to anthrax is accompanied by cellular damage and inflammation with a large number of up- and down-regulated proteins many of which are distinct from those detected in serum. MS data are available via ProteomeXchange with identifier PXD001342.
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we revealed aberrations caused by anthrax infection in the lymph proteome in murine model of cutaneous infection using a label-free semi-quantitative mass spectrometry-based approach
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