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Accession: PRJNA713391 ID: 713391

Transcriptomics of granulosa cells(GCs) from healthy follicles(HFs), early atretic follicles(EFs) and late atretic follicle(LFs) in Chinese buffalo (water buffalo)

See Genome Information for Bubalus bubalis
Compared with granulosa cells from healthy follicles, 2888 (1790 up-regulated, 1098 down-regulated) and 1629 (1230 up-regulated, 399 down-regulated) DEGs (|FC| > 1.75 and P value < 0.05) were identified in granulosa cells of early atretic follicles and late atretic follicle, respectively. Out of these DEGs, 1217 genes were commonly shared among the two comparisons Overall design: GCs were collected from healthy follicles, early atretic follicles and late atretic follicle for transcriptome analysis using second-generation high-throughput sequencing
AccessionPRJNA713391; GEO: GSE168679
Data TypeTranscriptome or Gene expression
ScopeMultiisolate
OrganismBubalus bubalis[Taxonomy ID: 89462]
Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Laurasiatheria; Artiodactyla; Ruminantia; Pecora; Bovidae; Bovinae; Bubalus; Bubalus bubalis
PublicationsCheng J et al., "Integration of transcriptomics and non-targeted metabolomics reveals the underlying mechanism of follicular atresia in Chinese buffalo.", J Steroid Biochem Mol Biol, 2021 Sep;212:105944
SubmissionRegistration date: 10-Mar-2021
Animal reproductive cloning, College of Animal Science and Technology, Guangxi University
RelevanceAgricultural
Project Data:
Resource NameNumber
of Links
Sequence data
SRA Experiments9
Publications
PubMed1
Other datasets
BioSample9
GEO DataSets1
GEO Data Details
ParameterValue
Data volume, Supplementary Mbytes2
SRA Data Details
ParameterValue
Data volume, Gbases60
Data volume, Mbytes19766

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