umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Profiling of embryonic nuclear vs. cellular RNA in Arabidopsis thaliana
Max Planck Institute for Developmental Biology, Department of Molecular Biology, Tübingen, Germany.ORCID iD: 0000-0002-0068-2967
Show others and affiliations
2015 (English)In: Genomics Data, ISSN 1025-6059, E-ISSN 2213-5960, Vol. 4, 96-98 p.Article in journal (Refereed) Published
Abstract [en]

In Arabidopsis, various cell type-specific whole-genome expression analyses have been conducted. However, the vast majority of these were performed with cellular RNA from root tissues or other easily accessible cell types [1]. Nuclear RNA was neglected for a long time as not being representative for transcriptomic studies. In recent years, however, there have been reports describing the validity of nuclear RNA for these types of studies [2] and [3]. Here we describe the generation, quality assessment and analysis of nuclear transcriptomic data from Arabidopsis embryos published by Slane et al. (2014) [4]. Comparison of nuclear with cellular gene expression demonstrated the usefulness of nuclear transcriptomics.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 4, 96-98 p.
Keyword [en]
Arabidopsis thaliana, Gene expression, Microarray, Nuclear and cellular transcriptome, Pro-embryo and suspensor transcriptome
National Category
Genetics
Identifiers
URN: urn:nbn:se:umu:diva-111799DOI: 10.1016/j.gdata.2015.03.015ISI: 000362674500025PubMedID: 26484189OAI: oai:DiVA.org:umu-111799DiVA: diva2:873485
Available from: 2015-11-24 Created: 2015-11-24 Last updated: 2016-03-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Schmid, Markus
In the same journal
Genomics Data
Genetics

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 152 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf