Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing
Authors
Keywords
Transcriptome, Differentially expressed gene, Mammary gland, Protein percentage, Fat percentage, RNA-Seq, Dairy cattle
Journal
BMC GENOMICS
Volume 15, Issue 1, Pages 226
Publisher
Springer Nature
Online
2014-03-24
DOI
10.1186/1471-2164-15-226
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
- (2013) Franck Rapaport et al. GENOME BIOLOGY
- Feedback regulation by Atf3 in the endothelin-1-responsive transcriptome of cardiomyocytes: Egr1 is a principal Atf3 target
- (2012) Alejandro Giraldo et al. BIOCHEMICAL JOURNAL
- Transcriptional profiling of bovine milk using RNA sequencing
- (2012) Saumya Wickramasinghe et al. BMC GENOMICS
- Molecular Pathways: The Role of NR4A Orphan Nuclear Receptors in Cancer
- (2012) H. M. Mohan et al. CLINICAL CANCER RESEARCH
- Old and New Stories: Revelations from Functional Analysis of the Bovine Mammary Transcriptome during the Lactation Cycle
- (2012) Massimo Bionaz et al. PLoS One
- The Roles of Parathyroid Hormone-Like Hormone during Mouse Preimplantation Embryonic Development
- (2012) Lei Guo et al. PLoS One
- Regulation of TRIB3 mRNA and Protein in Breast Cancer
- (2012) Marloes Wennemers et al. PLoS One
- Immunohistochemical studies on the bovine lactating mammary gland (Bos taurus)
- (2011) Mohamed Alkafafy et al. ACTA HISTOCHEMICA
- Genome-wide association mapping in Norwegian Red cattle identifies quantitative trait loci for fertility and milk production on BTA12
- (2011) H. G. Olsen et al. ANIMAL GENETICS
- Comparison of transcriptomic landscapes of bovine embryos using RNA-Seq
- (2011) Wen Huang et al. BMC GENOMICS
- Genomic characteristics of cattle copy number variations
- (2011) Yali Hou et al. BMC GENOMICS
- Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary U.S. Holstein cows
- (2011) John B Cole et al. BMC GENOMICS
- Genomic regions showing copy number variations associate with resistance or susceptibility to gastrointestinal nematodes in Angus cattle
- (2011) Yali Hou et al. FUNCTIONAL & INTEGRATIVE GENOMICS
- Whole-genome association study for milk protein composition in dairy cattle
- (2011) G.C.B. Schopen et al. JOURNAL OF DAIRY SCIENCE
- Combining resources to obtain a comprehensive survey of the bovine embryo transcriptome through deep sequencing and microarrays
- (2011) Claude Robert et al. MOLECULAR REPRODUCTION AND DEVELOPMENT
- Transcriptome Profiling of Bovine Milk Oligosaccharide Metabolism Genes Using RNA-Sequencing
- (2011) Saumya Wickramasinghe et al. PLoS One
- Exploration of relationships between production and fertility traits in dairy cattle via association studies of SNPs within candidate genes derived by expression profiling
- (2010) E. C. G. Pimentel et al. ANIMAL GENETICS
- Studying bacterial transcriptomes using RNA-seq
- (2010) Nicholas J Croucher et al. CURRENT OPINION IN MICROBIOLOGY
- A genome-wide association study for milk production traits in Danish Jersey cattle using a 50K single nucleotide polymorphism chip1
- (2010) M. D. Mai et al. JOURNAL OF ANIMAL SCIENCE
- Impact of serum amyloid A on high density lipoprotein composition and levels
- (2010) Maria C. de Beer et al. JOURNAL OF LIPID RESEARCH
- Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
- (2010) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Genome Wide Association Studies for Milk Production Traits in Chinese Holstein Population
- (2010) Li Jiang et al. PLoS One
- Multiple histone site epigenetic modifications in nuclear transfer and in vitro fertilized bovine embryos
- (2010) Xia Wu et al. ZYGOTE
- Differential expression analysis for sequence count data
- (2010) Simon Anders et al. GENOME BIOLOGY
- Effects ofDGAT1andGHRon milk yield and milk composition in the Chinese dairy population
- (2009) D. Sun et al. ANIMAL GENETICS
- A whole genome scan to map QTL for milk production traits and somatic cell score in Canadian Holstein bulls
- (2009) D. Kolbehdari et al. JOURNAL OF ANIMAL BREEDING AND GENETICS
- Genome-wide scan for bovine milk-fat composition. I. Quantitative trait loci for short- and medium-chain fatty acids
- (2009) W.M. Stoop et al. JOURNAL OF DAIRY SCIENCE
- Short communication: Genome-wide scan for bovine milk-fat composition. II. Quantitative trait loci for long-chain fatty acids
- (2009) A. Schennink et al. JOURNAL OF DAIRY SCIENCE
- Induction of Serum Amyloid A Genes Is Associated with Growth and Apoptosis of HC11 Mammary Epithelial Cells
- (2008) Yoonjung KHO et al. BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY
- Onset of lactation in the bovine mammary gland: gene expression profiling indicates a strong inhibition of gene expression in cell proliferation
- (2008) Kiera A. Finucane et al. FUNCTIONAL & INTEGRATIVE GENOMICS
- Quantitative Trait Loci Affecting Milk Yield and Protein Percentage in a Three-Country Brown Swiss Population
- (2008) A. Bagnato et al. JOURNAL OF DAIRY SCIENCE
- A Genome Scan to Detect Quantitative Trait Loci for Economically Important Traits in Holstein Cattle Using Two Methods and a Dense Single Nucleotide Polymorphism Map
- (2008) H.D. Daetwyler et al. JOURNAL OF DAIRY SCIENCE
- Mapping and quantifying mammalian transcriptomes by RNA-Seq
- (2008) Ali Mortazavi et al. NATURE METHODS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now