東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Characterization of a Major Gene for...

Kamalludin, Mamat Hamidi.

FindBook

Google Book

Amazon

博客來

Characterization of a Major Gene for Bovine Ovulation Rate.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Characterization of a Major Gene for Bovine Ovulation Rate./
作者:	Kamalludin, Mamat Hamidi.
面頁冊數:	149 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.
Contained By:	Dissertation Abstracts International77-05B(E).
標題:	Animal sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3741450
ISBN:	9781339337364

Characterization of a Major Gene for Bovine Ovulation Rate.
Kamalludin, Mamat Hamidi.

Characterization of a Major Gene for Bovine Ovulation Rate. - 149 p.

Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2015.

Studies were conducted in an effort to characterize transcriptomic, proteomic and genomic differences associated with a major gene for ovulation rate in cattle. The gene has been previously mapped to a 1.2 Mb region of bovine chromosome 10 that contains seven characterized genes. Transcriptomic analysis was done to test differential expression of genes in the candidate region and to identify genes differentially expressed in response to the mutation in the candidate region. Likewise, proteomic analysis was carried out to identify proteins differentially represented in the follicular fluid from carriers and non-carriers of the allele for high ovulation rate. Estrus-synchronized carrier (n=5) and non-carrier (n=5) females were unilaterally ovariectomized to obtain granulosa cells and follicular fluid from dominant follicles. Dominant follicle status was determined by estradiol level in the follicular fluid. RNA extracted from granulosa cells was used for transcriptomic analysis by RNA-seq. Follicular fluid was used for proteomic analysis by liquid-chromatography tandem mass spectrometry. Potential contamination of granulosa cells with theca cells was assessed by expression level of cell type-specific marker gene and two samples of each genotype were excluded. A total of 143 out of 14,973 genes were differentially expressed (fold change > 2 and false discovery rate < 0.05). Among genes in the positional candidate gene region, only SMAD6 was differentially expressed with 6.6-fold higher expression in carriers vs. non-carriers (nominal P<0.00001). Proteomic analysis revealed 61 differentially represented proteins in the follicular fluid (18 and 43 upregulated and downregulated, respectively, in carrier vs. non-carrier). The positional candidate gene region and genes within the region were screened for polymorphisms potentially associated with the high ovulation rate allele using data from the transcriptomic analysis and previously generated SNP array data. Transcriptomic data was used to identify single nucleotide polymorphisms (SNPs) and SNP array data was used to screen for copy number variants (CNVs). Thirteen SNPs were identified in the candidate region and considered as not causative; no CNVs were detected. The outcomes from these studies can be utilized as a guide for further study of this allele and the mechanism by which it affects ovulation rate in cattle.

ISBN: 9781339337364Subjects--Topical Terms:

3174829
Animal sciences.

Characterization of a Major Gene for Bovine Ovulation Rate.
LDR:03260nmm a2200265 4500 001 2074507
005 20161004114945.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781339337364
035 $a (MiAaPQ)AAI3741450
035 $a AAI3741450
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kamalludin, Mamat Hamidi. $3 3189830
245 1 0 $a Characterization of a Major Gene for Bovine Ovulation Rate.
300 $a 149 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-05(E), Section: B.
500 $a Adviser: Brian Wayne Kirkpatrick.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2015.
520 $a Studies were conducted in an effort to characterize transcriptomic, proteomic and genomic differences associated with a major gene for ovulation rate in cattle. The gene has been previously mapped to a 1.2 Mb region of bovine chromosome 10 that contains seven characterized genes. Transcriptomic analysis was done to test differential expression of genes in the candidate region and to identify genes differentially expressed in response to the mutation in the candidate region. Likewise, proteomic analysis was carried out to identify proteins differentially represented in the follicular fluid from carriers and non-carriers of the allele for high ovulation rate. Estrus-synchronized carrier (n=5) and non-carrier (n=5) females were unilaterally ovariectomized to obtain granulosa cells and follicular fluid from dominant follicles. Dominant follicle status was determined by estradiol level in the follicular fluid. RNA extracted from granulosa cells was used for transcriptomic analysis by RNA-seq. Follicular fluid was used for proteomic analysis by liquid-chromatography tandem mass spectrometry. Potential contamination of granulosa cells with theca cells was assessed by expression level of cell type-specific marker gene and two samples of each genotype were excluded. A total of 143 out of 14,973 genes were differentially expressed (fold change > 2 and false discovery rate < 0.05). Among genes in the positional candidate gene region, only SMAD6 was differentially expressed with 6.6-fold higher expression in carriers vs. non-carriers (nominal P<0.00001). Proteomic analysis revealed 61 differentially represented proteins in the follicular fluid (18 and 43 upregulated and downregulated, respectively, in carrier vs. non-carrier). The positional candidate gene region and genes within the region were screened for polymorphisms potentially associated with the high ovulation rate allele using data from the transcriptomic analysis and previously generated SNP array data. Transcriptomic data was used to identify single nucleotide polymorphisms (SNPs) and SNP array data was used to screen for copy number variants (CNVs). Thirteen SNPs were identified in the candidate region and considered as not causative; no CNVs were detected. The outcomes from these studies can be utilized as a guide for further study of this allele and the mechanism by which it affects ovulation rate in cattle.
590 $a School code: 0262.
650 4 $a Animal sciences. $3 3174829
690 $a 0475
710 2 $a The University of Wisconsin - Madison. $b Animal Sciences. $3 2096734
773 0 $t Dissertation Abstracts International $g 77-05B(E).
790 $a 0262
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3741450