Next-generation sequencing facilitates quantitativ... (ID 797251) - BioProject

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Accession: PRJNA797251 ID: 797251

Next-generation sequencing facilitates quantitative analysis of mouse triple negative breast cancer cells treated with glucose-like oxidase and GSH-consuming nanoenzyme systems (house mouse)

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To determine the effects of glucose-like oxidase and GSH-consumed nanoenzymes on regulatory genes and molecular pathways of mouse triple negative breast cancer cells (4T1 cells), we studied the RNA sequences of 4T1 cells treated with medium (control), Cu-TCPP (Fe)-PEG(Cu-TCPP) and Au/Cu-TCPP (Fe)-PEG(Au-TCPP). More...

Accession	PRJNA797251; GEO: GSE193686
Data Type	Transcriptome or Gene expression
Scope	Multiisolate
Organism	Mus musculus[Taxonomy ID: 10090] Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Myomorpha; Muroidea; Muridae; Murinae; Mus; Mus; Mus musculus
Submission	Registration date: 14-Jan-2022 chongqing university
Relevance	Model Organism

Project Data:

Resource Name	Number of Links
Sequence data
SRA Experiments	9
Other datasets
BioSample	9
GEO DataSets	1

GEO Data Details

Parameter	Value
Data volume, Supplementary Mbytes	7

SRA Data Details

Parameter	Value
Data volume, Gbases	60
Data volume, Mbytes	19419

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Next-generation sequencing facilitates quantitative analysis of mouse triple negative breast cancer cells treated with glucose-like oxidase and GSH-consuming nanoenzyme systems (house mouse)

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