Protein secretion usually requires the presence of a N- terminal signal peptide (SP) and by scanning for this feature using available highly accurate SP-prediction tools, the fraction of potentially secreted proteins can be directly predicted. We were able to improve the in silico inventory of Aspergillus niger secretory proteins by combining different gene-model predictions from neighbouring Aspergilli and thereby avoiding prediction conflicts associated with inaccurate gene-models. An experimental
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Secretome enriched fractions of A. niger cultured under controlled conditions in defined synthetic media and analysed by high-throughput mass spectrometry
Sample name (String) *, Strain (String) *, Labeled subsrate (String) *, Type (String) *