2012
DOI: 10.1186/1471-2164-13-45
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Transcriptional profiling of bovine milk using RNA sequencing

Abstract: BackgroundCow milk is a complex bioactive fluid consumed by humans beyond infancy. Even though the chemical and physical properties of cow milk are well characterized, very limited research has been done on characterizing the milk transcriptome. This study performs a comprehensive expression profiling of genes expressed in milk somatic cells of transition (day 15), peak (day 90) and late (day 250) lactation Holstein cows by RNA sequencing. Milk samples were collected from Holstein cows at 15, 90 and 250 days o… Show more

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Cited by 211 publications
(228 citation statements)
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References 54 publications
(67 reference statements)
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“…Despite those limitations, there is a relatively good agreement between the abundance of mRNA and microarray signal (i.e., number of cDNA with dyes bound to the oligos); thus, despite not being absolute, the comparison between microarray signals can be used to provide an initial idea of relative abundance between mRNA species. The high similarity in relative transcript abundance among caseins and between casein genes and alpha-lactalbumin in mammary gland of dairy cows is consistent with transcriptomics analysis of bovine milk somatic cells using the more accurate RNA sequencing technology [94]. In the figure are reported the relative percentage of the signal of the genes of interest compared to CSN1S1 or Csn1s1.…”
Section: Figuresupporting
confidence: 65%
“…Despite those limitations, there is a relatively good agreement between the abundance of mRNA and microarray signal (i.e., number of cDNA with dyes bound to the oligos); thus, despite not being absolute, the comparison between microarray signals can be used to provide an initial idea of relative abundance between mRNA species. The high similarity in relative transcript abundance among caseins and between casein genes and alpha-lactalbumin in mammary gland of dairy cows is consistent with transcriptomics analysis of bovine milk somatic cells using the more accurate RNA sequencing technology [94]. In the figure are reported the relative percentage of the signal of the genes of interest compared to CSN1S1 or Csn1s1.…”
Section: Figuresupporting
confidence: 65%
“…All the samples analyzed passed all the quality control parameters having the same length (100 bp); 100% coverage in all bases; 25% of A, T, G, and C nucleotide contributions; 50% GC on base content; and less than 0.1% over-represented sequences, indicating good quality of sequencing outputs. Only transcripts with RPKM ≥ 0.2 in at least 1 tissue were considered expressed genes; otherwise, they were discarded from further analyses (Wickramasinghe et al, 2012;Cánovas et al, 2014a). Uniform RPKM values across tissues may serve to identify ubiquitous genes or tissue-specific genes, but these analyses should be performed across all studied tissues and is beyond the current study, which is focused on pituitary gland and ovarian expression.…”
Section: Ribonucleic Acid Extraction and Sequencingmentioning
confidence: 99%
“…The use of large transcriptomic analysis (i.e., microarray or RNA sequencing) by which to study the adaptation of mammary gland to lactation and/or change in milk production under specific conditions has been carried out in mouse (4,54,122,123,143,189,191,217,236,256), rat (3,47,187), bovine (31,36,56,75,96,144,183,209,218,233,239), sheep (209), goat (71,163,164), human (121,139,147), pig (204), kangaroo (120), and seal (144). It is beyond the scope of the current review to present a thorough discussion of the results from those studies.…”
mentioning
confidence: 99%