Biswas, Surojit, Kerner, Konstantin, Teixeira, Paulo Jose Pereira Lima, Dangl, Jeffery L., Jojic, Vladimir and Wigge, Philip A. (2017). Tradict enables accurate prediction of eukaryotic transcriptional states from 100 marker genes. Nat. Commun., 8. LONDON: NATURE PUBLISHING GROUP. ISSN 2041-1723

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Abstract

Transcript levels are a critical determinant of the proteome and hence cellular function. Because the transcriptome is an outcome of the interactions between genes and their products, it may be accurately represented by a subset of transcript abundances. We develop a method, Tradict (transcriptome predict), capable of learning and using the expression measurements of a small subset of 100 marker genes to predict transcriptome-wide gene abundances and the expression of a comprehensive, but interpretable list of transcriptional programs that represent the major biological processes and pathways of the cell. By analyzing over 23,000 publicly available RNA-Seq data sets, we show that Tradict is robust to noise and accurate. Coupled with targeted RNA sequencing, Tradict may therefore enable simultaneous transcriptome-wide screening and mechanistic investigation at large scales.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Biswas, SurojitUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kerner, KonstantinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Teixeira, Paulo Jose Pereira LimaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dangl, Jeffery L.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jojic, VladimirUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wigge, Philip A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-231311
DOI: 10.1038/ncomms15309
Journal or Publication Title: Nat. Commun.
Volume: 8
Date: 2017
Publisher: NATURE PUBLISHING GROUP
Place of Publication: LONDON
ISSN: 2041-1723
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
NETWORKS; QUANTIFICATION; ALGORITHMS; PURSUITMultiple languages
Multidisciplinary SciencesMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/23131

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