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The anti-Rpn13 mAb used in this study was generated by immunizing Rpn13−/− mice intraperitoneally with purified GST-Rpn13 protein in Freund's adjuvant.

The iPS cell line TiB7-4 used for this study was generated by reprogramming of adult murine fibroblasts with the four transcription factors Oct4, Klf4, Sox2 and c-Myc [22].

The type II GD mouse model employed in this study was generated by Enquist et al.

The DNase-seq dataset used in this study was generated by the University of Washington [ 41].

The methylation profile we used in this study was generated by single-base resolution bisulfite sequencing technology.

The IgG1 MAb used in this study was generated by immunizing BALB/c mice with antigens extracted from S. haematobium infected human urine [ 6, 7].

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The seed used for each of the dockings in this study were generated by the python random number generator and assigned to config.txt files.

The reagents constructed in this study were generated by genetically linking porcine IL-2 to the truncated diphtheria toxin (DT390).

The synthetic target speech files used in this study were generated by DECtalk [17], which is a text-to-speech (TTS) system produced by Fonix Corporation that internally uses KLSYN88 as the backend synthesizer.

Data presented in this study were generated by systematically compiling and interlinking information from three different sources: The FCEC report to the European Commission [[11]] for information on CFS properties of approved active substances (approval status as of 31 January 2013).

All pTriEx4 plasmids described in this study were generated by PCR and ligase-independent cloning (Merck).

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