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Deep sequencing of the transcriptome in the anterior pituitary of heifers before and after ovulation
- Source :
- The Journal of Veterinary Medical Science
- Publication Year :
- 2017
- Publisher :
- Japanese Society of Veterinary Science, 2017.
-
Abstract
- We aimed to determine gene expression patterns in the anterior pituitary (AP) of heifers before and after ovulation via deep sequencing of the transcriptome (RNA-seq) to identify new genes and clarify important pathways. Heifers were slaughtered on the estrus day (pre-ovulation; n=5) or 3 days after ovulation (post-ovulation; n=5) for AP collection. We randomly selected 4 pre-ovulation and 4 post-ovulation APs, and the ribosomal RNA-depleted poly (A)+RNA were prepared to assemble next-generation sequencing libraries. The bovine APs expressed 12,769 annotated genes at pre- or post-ovulation. The sum of the reads per kilobase of exon model per million mapped reads (RPKM) values of all transcriptomes were 599,676 ± 38,913 and 668,209 ± 23,690, and 32.2 ± 2.6% and 44.0 ± 4.4% of these corresponded to the AP hormones in the APs of pre- and post-ovulation heifers, respectively. The bovine AP showed differential expression of 396 genes (P
- Subjects :
- Ovulation
0301 basic medicine
G-protein-coupled receptor
media_common.quotation_subject
Receptors, Cell Surface
RNA-Seq
ruminant
Biology
Real-Time Polymerase Chain Reaction
Deep sequencing
Transcriptome
03 medical and health sciences
Exon
0302 clinical medicine
Anterior pituitary
Pituitary Gland, Anterior
Gene expression
medicine
Animals
Gene Regulatory Networks
Gene
media_common
Rho family GTPase
Full Paper
General Veterinary
Sequence Analysis, RNA
High-Throughput Nucleotide Sequencing
Molecular Sequence Annotation
Molecular biology
030104 developmental biology
medicine.anatomical_structure
Cattle
Female
Theriogenology
RNA-seq
Software
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 13477439 and 09167250
- Volume :
- 79
- Database :
- OpenAIRE
- Journal :
- Journal of Veterinary Medical Science
- Accession number :
- edsair.doi.dedup.....305977d665551e5afd3e952f9666d43a