For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
11
views
100
references
 Top references
cited by
0
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
      164
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Contributions of RNA-seq to improve in vitro embryo production (IVP)

      review-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In Vitro Embryo Production (IVP) is widely used to improve the reproductive efficiency of livestock animals, however increasing the embryo development rates and pregnancy outcomes is still a challenge for some species. Thus, the lack of biological knowledge hinders developing specie-specific IVP protocols. Therefore, the contributions of RNA-seq to generate relevant biological knowledge and improve the efficiency of IVP in livestock animals are reviewed herein.

          Related collections

          Most cited references100

          • Record: found
          • Abstract: found
          • Article: not found

          Understanding the Warburg effect: the metabolic requirements of cell proliferation.

          Craig B Thompson, Matthew Vander Heiden, Lewis Cantley (2009)
          In contrast to normal differentiated cells, which rely primarily on mitochondrial oxidative phosphorylation to generate the energy needed for cellular processes, most cancer cells instead rely on aerobic glycolysis, a phenomenon termed "the Warburg effect." Aerobic glycolysis is an inefficient way to generate adenosine 5'-triphosphate (ATP), however, and the advantage it confers to cancer cells has been unclear. Here we propose that the metabolism of cancer cells, and indeed all proliferating cells, is adapted to facilitate the uptake and incorporation of nutrients into the biomass (e.g., nucleotides, amino acids, and lipids) needed to produce a new cell. Supporting this idea are recent studies showing that (i) several signaling pathways implicated in cell proliferation also regulate metabolic pathways that incorporate nutrients into biomass; and that (ii) certain cancer-associated mutations enable cancer cells to acquire and metabolize nutrients in a manner conducive to proliferation rather than efficient ATP production. A better understanding of the mechanistic links between cellular metabolism and growth control may ultimately lead to better treatments for human cancer.
          Article 0 comments Cited 2518 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            RNA-Seq: a revolutionary tool for transcriptomics.

            Zhong Wang, Mark Gerstein, Michael Snyder (2009)
            RNA-Seq is a recently developed approach to transcriptome profiling that uses deep-sequencing technologies. Studies using this method have already altered our view of the extent and complexity of eukaryotic transcriptomes. RNA-Seq also provides a far more precise measurement of levels of transcripts and their isoforms than other methods. This article describes the RNA-Seq approach, the challenges associated with its application, and the advances made so far in characterizing several eukaryote transcriptomes.
            Article 0 comments Cited 1328 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Next-generation transcriptome assembly.

              Jeffrey A Martin, Zhong Wang (2011)
              Transcriptomics studies often rely on partial reference transcriptomes that fail to capture the full catalogue of transcripts and their variations. Recent advances in sequencing technologies and assembly algorithms have facilitated the reconstruction of the entire transcriptome by deep RNA sequencing (RNA-seq), even without a reference genome. However, transcriptome assembly from billions of RNA-seq reads, which are often very short, poses a significant informatics challenge. This Review summarizes the recent developments in transcriptome assembly approaches - reference-based, de novo and combined strategies - along with some perspectives on transcriptome assembly in the near future.
              Article 0 comments Cited 472 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Anim Reprod
                Journal ID (iso-abbrev): Anim Reprod
                Journal ID (publisher-id): ar
                Title: Animal Reproduction
                Publisher: Colégio Brasileiro de Reprodução Animal - CBRA
                ISSN (Print): 1806-9614
                ISSN (Electronic): 1984-3143
                Publication date (Electronic, pub): 24 October 2019
                Publication date (Electronic, collection): Apr-Jun 2019
                Volume: 16
                Issue: 2
                Pages: 249-259
                Affiliations
                [1 ] originalFederal Rural University of Amazon, Capitão-Poço, Pará, Brazil.
                [2 ] originalLaboratory of Genomics and Bioinformatics, Federal University of Pará, Belém, PA, Brazil.
                [3 ] originalLaboratory of In Vitro Fertilization, Institute of Biological Science, Federal University of Pará, Belém, PA, Brazil.
                Author notes
                [§ ]Corresponding author: ppbsantana@ 123456gmail.com
                Article
                Publisher ID: ar-v16n2-p249
                DOI: 10.21451/1984-3143-AR2017-0043
                PMC ID: 7673591
                SO-VID: 4a1ca1ab-e2ef-41a3-a2a1-c9048dc7ef9c
                Copyright © Copyright © The Author(s). Published by CBRA.
                License:

                This is an Open Access article under the Creative Commons Attribution License (CC BY 4.0 license)

                History
                Date received : 02 November 2017
                Date accepted : 20 December 2018
                Page count
                Figures: 1, Tables: 2, Equations: 0, References: 92, Pages: 11
                Categories
                Subject: Review

                Keywords: biomarker genes,in vitro embryo production,livestock animals,rna-seq
                Data availability:
                Keywords: biomarker genes, in vitro embryo production, livestock animals, rna-seq

                Comments

                Comment on this article