Comparison of five different RNA sources to examine the lactating bovine mammary gland transcriptome using RNA-Sequencing
نویسندگان
چکیده
The objective of this study was to examine five different sources of RNA, namely mammary gland tissue (MGT), milk somatic cells (SC), laser microdissected mammary epithelial cells (LCMEC), milk fat globules (MFG) and antibody-captured milk mammary epithelial cells (mMEC) to analyze the bovine mammary gland transcriptome using RNA-Sequencing. Our results provide a comparison between different sampling methods (invasive and non-invasive) to define the transcriptome of mammary gland tissue and milk cells. This information will be of value to investigators in choosing the most appropriate sampling method for different research applications to study specific physiological states during lactation. One of the simplest procedures to study the transcriptome associated with milk appears to be the isolation of total RNA directly from SC or MFG released into milk during lactation. Our results indicate that the SC and MFG transcriptome are representative of MGT and LCMEC and can be used as effective and alternative samples to study mammary gland expression without the need to perform a tissue biopsy.
منابع مشابه
Transcriptome Sequencing of Guilan Native Cow in Comparison with bosTau4 Reference Genome
RNA-sequencing is a new method of transcriptome characterization of organisms. Based on identity and relatedness, there are large genetic variations among different cattle breeds. The goal of the current study was to sequence the transcriptome of Guilan native cow and compare with available reference genome using RNA-sequencing method. Blood samples were collected from 14 Guilan native cows and...
متن کاملCharacterisation and Comparison of Lactating Mouse and Bovine Mammary Gland miRNomes
BACKGROUND The mammary gland is a dynamic organ that undergoes important physiological changes during reproductive cycles. Until now, data regarding the characterisation of miRNA in the mammary gland have been scarce and mainly focused on their abnormal expression in breast cancer. Our goal was to characterise the microRNA (miRNA) involved in mechanisms regulating the mammary function, with par...
متن کاملClustering of Short Read Sequences for de novo Transcriptome Assembly
Given the importance of transcriptome analysis in various biological studies and considering thevast amount of whole transcriptome sequencing data, it seems necessary to develop analgorithm to assemble transcriptome data. In this study we propose an algorithm fortranscriptome assembly in the absence of a reference genome. First, the contiguous sequencesare generated using de Bruijn graph with d...
متن کاملComprehensive RNA-Seq profiling to evaluate lactating sheep mammary gland transcriptome
RNA-Seq enables the generation of extensive transcriptome information providing the capability to characterize transcripts (including alternative isoforms and polymorphism), to quantify expression and to identify differential regulation in a single experiment. Our aim in this study was to take advantage of using RNA-Seq high-throughput technology to provide a comprehensive transcriptome profili...
متن کاملRNA-Seq reveals 10 novel promising candidate genes affecting milk protein concentration in the Chinese Holstein population
Paired-end RNA sequencing (RNA-Seq) was used to explore the bovine transcriptome from the mammary tissue of 12 Chinese Holstein cows with 6 extremely high and 6 low phenotypic values for milk protein percentage. We defined the differentially expressed transcripts between the two comparison groups, extremely high and low milk protein percentage during the peak lactation (HP vs LP) and during the...
متن کامل