Hauptseite > Publikationsdatenbank > LASSO modeling of the Arabidopsis thaliana seed/seedling Transcriptome: a model case for detection of novel mucilage and pectin metabolism genes > print |
001 | 21041 | ||
005 | 20180208232911.0 | ||
024 | 7 | _ | |a pmid:22735692 |2 pmid |
024 | 7 | _ | |a 10.1039/C2MB25096A |2 DOI |
024 | 7 | _ | |a WOS:000308098600013 |2 WOS |
024 | 7 | _ | |a 2128/7456 |2 Handle |
037 | _ | _ | |a PreJuSER-21041 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 540 |
100 | 1 | _ | |a Vasilevski, A. |b 0 |0 P:(DE-HGF)0 |
245 | _ | _ | |a LASSO modeling of the Arabidopsis thaliana seed/seedling Transcriptome: a model case for detection of novel mucilage and pectin metabolism genes |
260 | _ | _ | |a Cambridge |b Royal Society of Chemistry |c 2012 |
300 | _ | _ | |a 2566 - 2574 |
336 | 7 | _ | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a article |2 DRIVER |
440 | _ | 0 | |a Molecular BioSystems |x 1742-206X |0 20661 |y 10 |v 8 |
500 | _ | _ | |a Record converted from VDB: 12.11.2012 |
520 | _ | _ | |a Whole genome transcript correlation-based approaches have been shown to be enormously useful for candidate gene detection. Consequently, simple Pearson correlation has been widely applied in several web based tools. That said, several more sophisticated methods based on e.g. mutual information or Bayesian network inference have been developed and have been shown to be theoretically superior but are not yet commonly applied. Here, we propose the application of a recently developed statistical regression technique, the LASSO, to detect novel candidates from high throughput transcriptomic datasets. We apply the LASSO to a tissue specific dataset in the model plant Arabidopsis thaliana to identify novel players in Arabidopsis thaliana seed coat mucilage synthesis. We built LASSO models based on a list of genes known to be involved in a sub-pathway of Arabidopsis mucilage synthesis. After identifying a putative transcription factor, we verified its involvement in mucilage synthesis by obtaining knock-out mutants for this gene. We show that a loss of function of this putative transcription factor leads to a significant decrease in mucilage pectin. |
536 | _ | _ | |a Terrestrische Umwelt |c P24 |2 G:(DE-HGF) |0 G:(DE-Juel1)FUEK407 |x 0 |
588 | _ | _ | |a Dataset connected to Pubmed |
700 | 1 | _ | |a F.M. Giorgi, F.M. |b 1 |0 P:(DE-HGF)0 |
700 | 1 | _ | |a Bertinetti, L. |b 2 |0 P:(DE-HGF)0 |
700 | 1 | _ | |a Usadel, B. |b 3 |u FZJ |0 P:(DE-Juel1)145719 |
773 | _ | _ | |a 10.1039/c2mb25096a |g Vol. 8, p. 2566 - 2574 |p 2566 - 2574 |q 8<2566 - 2574 |0 PERI:(DE-600)2188635-0 |t Molecular BioSystems |v 8 |y 2012 |x 1742-206X |
856 | 7 | _ | |u http://dx.doi.org/10.1039/C2MB25096A |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/21041/files/FZJ-21041.pdf |y Published under German "Allianz" Licensing conditions on 2012-06-26. Available in OpenAccess from 2013-06-26 |z Published final document. |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/21041/files/FZJ-21041.jpg?subformat=icon-1440 |x icon-1440 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/21041/files/FZJ-21041.jpg?subformat=icon-180 |x icon-180 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/21041/files/FZJ-21041.jpg?subformat=icon-640 |x icon-640 |
909 | C | O | |o oai:juser.fz-juelich.de:21041 |p openaire |p open_access |p driver |p VDB |p dnbdelivery |
913 | 1 | _ | |b Erde und Umwelt |k P24 |l Terrestrische Umwelt |1 G:(DE-HGF)POF2-240 |0 G:(DE-Juel1)FUEK407 |2 G:(DE-HGF)POF2-200 |v Terrestrische Umwelt |x 0 |
913 | 2 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-582 |2 G:(DE-HGF)POF3-500 |v Plant Science |x 0 |
914 | 1 | _ | |y 2012 |
915 | _ | _ | |a JCR/ISI refereed |0 StatID:(DE-HGF)0010 |2 StatID |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
915 | _ | _ | |a Allianz-Lizenz / DFG |0 StatID:(DE-HGF)0400 |2 StatID |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
915 | _ | _ | |a Allianz-OA |0 StatID:(DE-HGF)0520 |2 StatID |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
920 | 1 | _ | |k IBG-2 |l Pflanzenwissenschaften |g IBG |0 I:(DE-Juel1)IBG-2-20101118 |x 0 |
970 | _ | _ | |a VDB:(DE-Juel1)136831 |
980 | _ | _ | |a VDB |
980 | _ | _ | |a ConvertedRecord |
980 | _ | _ | |a journal |
980 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a JUWEL |
980 | _ | _ | |a FullTexts |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|