ArticleScientific data2016
Comprehensive RNA-Seq profiling to evaluate lactating sheep mammary gland transcriptome.
Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 47 citations in OpenAlex.
- From candidate genes to whole-genome approaches: current insights into the genetic architecture of ovine milk production and quality traits.Veterinary and animal science · 2026Review
- Time-resolved transcriptomic profiling of mammary gland tissue during ductal morphogenesis, lactation activation, and involution in sows.Animal bioscience · 2026Article
- A Multi-Tissue Transcriptomic Atlas of River Buffalo with a Focus on the Genetic Underpinnings of Lactation Performance Across Four Lactation Stages in the Mammary Gland.International journal of molecular sciences · 2026Article
- Preservation of milk in liquid nitrogen during sample collection does not affect the RNA quality for RNA-seq analysis.BMC genomics · 2025Article
- Excavation and characterization of key circRNAs for milk fat percentage in Holstein cattle.Journal of animal science · 2023Article
- MicroRNA-200c Affects Milk Fat Synthesis by TargetingInternational journal of molecular sciences · 2022Article
- Hepatic transcriptome analysis identifies genes, polymorphisms and pathways involved in the fatty acids metabolism in sheep.PloS one · 2021Article
- Methylome and transcriptome profiles in three yak tissues revealed that DNA methylation and the transcription factor ZGPAT co-regulate milk production.BMC genomics · 2020Article
- Milk somatic cell derived transcriptome analysis identifies regulatory genes and pathways during lactation in Indian Sahiwal cattle (Bos indicus).Molecular biology reports · 2020Article
- Isolation and Identification of Bovine Preadipocytes and Screening of MicroRNAs Associated with Adipogenesis.Animals : an open access journal from MDPI · 2020Article
- Comparison of the Transcriptome of the Ovine Mammary Gland in Lactating and Non-lactating Small-Tailed Han Sheep.Frontiers in genetics · 2020Article
- Transcriptome Profile Analysis of Mammary Gland Tissue from Two Breeds of Lactating Sheep.Genes · 2019Article
- Analysis of differential gene expression of the transgenic pig with overexpression of PGC1α in muscle.Molecular biology reports · 2019Article
- Identification of key genes and molecular mechanisms associated with low egg production of broiler breeder hens in ad libitum.BMC genomics · 2019Article
- Buffalo milk transcriptome: A comparative analysis of early, mid and late lactation.Scientific reports · 2019Article
- Re-assembly, quality evaluation, and annotation of 678 microbial eukaryotic reference transcriptomes.GigaScience · 2019Article
- Deciphering the transcriptome of prepubertal buffalo mammary glands using RNA sequencing.Functional & integrative genomics · 2019Article
- Integrative Analysis of Transcriptome and GWAS Data to Identify the Hub Genes Associated With Milk Yield Trait in Buffalo.Frontiers in genetics · 2019Article
- Article
- In vivo response of xanthosine on mammary gene expression of lactating Beetal goat.Molecular biology reports · 2018Article
Corrections and comments
- Comment on
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 profiling of the sheep lactating mammary gland. Eight ewes of two dairy sheep breeds with differences in milk production traits were used in this experiment (four Churra and four Assaf ewes). Milk samples from these animals were collected on days 10, 50, 120 and 150 after lambing to cover the various physiological stages of the mammary gland across the complete lactation. RNA samples were extracted from milk somatic cells. The RNA-Seq dataset was generated using an Illumina HiSeq 2000 sequencer. The information reported here will be useful to understand the biology of lactation in sheep, providing also an opportunity to characterize their different patterns on milk production aptitude.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.