10.6084/m9.figshare.c.3685393_D14.v1 Paul Daly Paul Daly Jolanda Munster Jolanda Munster Martin Blythe Martin Blythe Roger Ibbett Roger Ibbett Matt Kokolski Matt Kokolski Sanyasi Gaddipati Sanyasi Gaddipati Erika Lindquist Erika Lindquist Vasanth Singan Vasanth Singan Kerrie Barry Kerrie Barry Anna Lipzen Anna Lipzen Chew Ngan Chew Ngan Christopher Petzold Christopher Petzold Leanne Chan Leanne Chan Steven Pullan Steven Pullan StĂŠphane Delmas StĂŠphane Delmas Paul Waldron Paul Waldron Igor Grigoriev Igor Grigoriev Gregory Tucker Gregory Tucker Blake Simmons Blake Simmons David Archer David Archer MOESM10 of Expression of Aspergillus niger CAZymes is determined by compositional changes in wheat straw generated by hydrothermal or ionic liquid pretreatments Springer Nature 2017 Aspergillus niger Lignocellulose Ionic liquid and hydrothermal pretreatments Straw Transcriptomic responses CAZy Hemicellulose RNA-seq Targeted proteomics 2017-02-07 05:00:00 Dataset https://springernature.figshare.com/articles/dataset/MOESM10_of_Expression_of_Aspergillus_niger_CAZymes_is_determined_by_compositional_changes_in_wheat_straw_generated_by_hydrothermal_or_ionic_liquid_pretreatments/4629343 Additional file 10: Table S8. Candidates for transcription factor-dependent CAZyme expression engineering strategies. The table lists uncharacterised transcription factors whose expression positively correlates with CAZyme expression, categorises their expression patterns and suggests reason(s) for inclusion in an engineering strategy to boost CAZyme expression. An image of the graphs of the expression pattern for each transcription factor is included. Uncharacterised plant biomass degrading CAZymes that clustered with the transcription factors in the MFuzz clustering of all genes are listed.