When Transcriptomics and Metabolomics Work Hand in Hand: A Case Study Characterizing Plant CDF Transcription Factors

Perez Alonso, Marta Marina; Carrasco Loba, Víctor; Medina Alcazar, Joaquin; Vicente Carbajosa, Jesus y Pollmann, Stephan (2018). When Transcriptomics and Metabolomics Work Hand in Hand: A Case Study Characterizing Plant CDF Transcription Factors. "High-Throughput", v. 7 (n. 7); pp. 1-13. ISSN 2571-5135. https://doi.org/10.3390/ht7010007.

Descripción

Título: When Transcriptomics and Metabolomics Work Hand in Hand: A Case Study Characterizing Plant CDF Transcription Factors
Autor/es:
  • Perez Alonso, Marta Marina
  • Carrasco Loba, Víctor
  • Medina Alcazar, Joaquin
  • Vicente Carbajosa, Jesus
  • Pollmann, Stephan
Tipo de Documento: Artículo
Título de Revista/Publicación: High-Throughput
Fecha: Febrero 2018
Volumen: 7
Materias:
Escuela: Centro de Investigación en Biotecnología y Genómica de Plantas (CBGP) (UPM)
Departamento: Biotecnología - Biología Vegetal
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (2MB) | Vista Previa

Resumen

Over the last three decades, novel "omics" platform technologies for the sequencing of DNA and complementary DNA (cDNA) (RNA-Seq), as well as for the analysis of proteins and metabolites by mass spectrometry, have become more and more available and increasingly found their way into general laboratory life. With this, the ability to generate highly multivariate datasets on the biological systems of choice has increased tremendously. However, the processing and, perhaps even more importantly, the integration of "omics" datasets still remains a bottleneck, although considerable computational and algorithmic advances have been made in recent years. In this mini-review, we use a number of recent "multi-omics" approaches realized in our laboratories as a common theme to discuss possible pitfalls of applying "omics" approaches and to highlight some useful tools for data integration and visualization in the form of an exemplified case study. In the selected example, we used a combination of transcriptomics and metabolomics alongside phenotypic analyses to functionally characterize a small number of Cycling Dof Transcription Factors (CDFs). It has to be remarked that, even though this approach is broadly used, the given workflow is only one of plenty possible ways to characterize target proteins.

Más información

ID de Registro: 49932
Identificador DC: http://oa.upm.es/49932/
Identificador OAI: oai:oa.upm.es:49932
Identificador DOI: 10.3390/ht7010007
URL Oficial: http://www.mdpi.com/2571-5135/7/1/7
Depositado por: Memoria Investigacion
Depositado el: 23 Jul 2018 10:50
Ultima Modificación: 23 Jul 2018 10:50
  • GEO_UP4
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • InvestigaM
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM