Evidence map›Paper›PMID 21167046›Full record

ArticleBMC genomics2010

Comparison of transcriptomic landscapes of bovine embryos using RNA-Seq.

Wen Huang, Hasan Khatib

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Article
  3. Pre-Implantation Bovine Embryo Evaluation-From Optics to Omics and Beyond.Animals : an open access journal from MDPI · 2023
    Review
  4. Article
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  8. Article
  9. Article
  10. Article
  11. Contributions of RNA-seq to improveAnimal reproduction · 2019
    Review
  12. Article
  13. Identification of single nucleotide polymorphisms ofJournal of animal science and biotechnology · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Wen HuangDepartment of Dairy Science, University of Wisconsin, Madison, WI 53706, USA.
Hasan Khatib
University of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in sequencing technologies have opened a new era of high throughput investigations. Although RNA-seq has been demonstrated in many organisms, no study has provided a comprehensive investigation of the bovine transcriptome using RNA-seq.

resultsIn this study, we provide a deep survey of the bovine embryonic transcriptomes, the first application of RNA-seq in cattle. Embryos cultured in vitro were used as models to study early embryonic development in cattle. RNA amplified from limited amounts of starting total RNA were sequenced and mapped to the reference genome to obtain digital gene expression at single base resolution. In particular, gene expression estimates from more than 1.6 million unannotated bases in 1785 novel transcribed units were obtained. We compared the transcriptomes of embryos showing distinct developmental statuses and found genes that showed differential overall expression as well as alternative splicing.

conclusionOur study demonstrates the power of RNA-seq and provides further understanding of bovine preimplantation embryonic development at a fine scale.

Indexed as

Gene Expression ProfilingAlternative SplicingAnimalsCattleDNAEmbryo, MammalianGene Expression Regulation, DevelopmentalGenomeHigh-Throughput Nucleotide SequencingIntronsOligonucleotide Array Sequence AnalysisRNA PrecursorsSequence Analysis, RNATranscription, GeneticDNARNA Precursors

Identifiers

PMID21167046
PMCPMC3019235
OpenAlexW2148555341

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.