Unknown

Dataset Information

0

Transcriptome analysis of recombinant protein secretion by Aspergillus nidulans and the unfolded-protein response in vivo.


ABSTRACT: Filamentous fungi have a high capacity for producing large amounts of secreted proteins, a property that has been exploited for commercial production of recombinant proteins. However, the secretory pathway, which is key to the production of extracellular proteins, is rather poorly characterized in filamentous fungi compared to yeast. We report the effects of recombinant protein secretion on gene expression levels in Aspergillus nidulans by directly comparing a bovine chymosin-producing strain with its parental wild-type strain in continuous culture by using expressed sequence tag microarrays. This approach demonstrated more subtle and specific changes in gene expression than those observed when mimicking the effects of protein overproduction by using a secretion blocker. The impact of overexpressing a secreted recombinant protein more closely resembles the unfolded-protein response in vivo.

SUBMITTER: Sims AH 

PROVIDER: S-EPMC1087583 | biostudies-literature | 2005 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Transcriptome analysis of recombinant protein secretion by Aspergillus nidulans and the unfolded-protein response in vivo.

Sims Andrew H AH   Gent Manda E ME   Lanthaler Karin K   Dunn-Coleman Nigel S NS   Oliver Stephen G SG   Robson Geoffrey D GD  

Applied and environmental microbiology 20050501 5


Filamentous fungi have a high capacity for producing large amounts of secreted proteins, a property that has been exploited for commercial production of recombinant proteins. However, the secretory pathway, which is key to the production of extracellular proteins, is rather poorly characterized in filamentous fungi compared to yeast. We report the effects of recombinant protein secretion on gene expression levels in Aspergillus nidulans by directly comparing a bovine chymosin-producing strain wi  ...[more]

Similar Datasets

| S-EPMC5812239 | biostudies-literature
| S-EPMC1595335 | biostudies-literature
| S-EPMC7002553 | biostudies-literature
| S-EPMC4329310 | biostudies-literature
| S-EPMC4482186 | biostudies-literature
| S-EPMC3020322 | biostudies-literature
2023-08-22 | GSE223010 | GEO
| S-EPMC3624511 | biostudies-literature
| S-EPMC4046813 | biostudies-literature
2020-07-14 | GSE101522 | GEO