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Series GSE155790 Query DataSets for GSE155790
Status Public on Jul 22, 2023
Title Large scale transcriptome analysis was used to identify the genes most related to the transcription of cellulase genes and/or xylanase genes expression
Organism Penicillium oxalicum
Experiment type Expression profiling by high throughput sequencing
Summary Based on the transcriptome data of deletion mutants of different genes and different culture conditions of Penicillium oxalicum, the correlation of gene transcription levels in the whole genome was calculated to explore the genes most related to the transcription of cellulase gene and/or xylanase gene in Penicillium oxalicum, including transcription factors, sugar transporters and other functional genes.
 
Overall design Both cellulase and xylanase are enzymes synthesized in the presence of inducers. Therefore, we believe that the transcription level of genes related to the transcription of cellulase and xylanase genes will certainly change under different culture conditions and the deletion mutants of transcription factors which have an important impact on the production of cellulase and xylanase. Consequently, it is possible to find the most relevant genes for cellulase and xylanase gene expression through correlation analysis of gene transcription levels on important transcription factor deletion mutants and a large amount of transcriptome data under different culture conditions.
 
Contributor(s) Zhao S, Chengxi L
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Submission date Aug 06, 2020
Last update date Jul 22, 2023
Contact name Li ChengXi
E-mail(s) [email protected]
Organization name Bengbu Medical College
Department Affiliated Sixth People’s Hospital
Street address 2600 Donghai Avenue, Bengbu, Anhui, China
City bengbu
State/province Anhui
ZIP/Postal code 233000
Country China
 
Platforms (3)
GPL20250 Illumina HiSeq 2000 (Penicillium oxalicum)
GPL24231 BGISEQ-500 (Penicillium oxalicum)
GPL26664 Illumina HiSeq 4000 (Penicillium oxalicum)
Samples (114)
GSM4712093 HP7-1GluF
GSM4712094 HP7-1GluS
GSM4712095 HP7-1GluT
Relations
BioProject PRJNA655638
SRA SRP276379

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE155790_RAW.tar 7.2 Mb (http)(custom) TAR (of XLS)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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