A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a

Abstract There is an enormous need to make better use of the ever increasing wealth of publicly available genomic information and to utilize the tremendous progress in computational approaches in the life sciences. Transcriptional regulation of protein-coding genes is a major mechanism of controllin...

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Autores principales: A. C. Aschenbrenner, K. Bassler, M. Brondolin, L. Bonaguro, P. Carrera, K. Klee, T. Ulas, J. L. Schultze, M. Hoch
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Publicado: Nature Portfolio 2017
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spelling oai:doaj.org-article:f2786cb37a584a7dbecb5be727dda15f2021-12-02T15:06:20ZA cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a10.1038/s41598-017-04370-92045-2322https://doaj.org/article/f2786cb37a584a7dbecb5be727dda15f2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04370-9https://doaj.org/toc/2045-2322Abstract There is an enormous need to make better use of the ever increasing wealth of publicly available genomic information and to utilize the tremendous progress in computational approaches in the life sciences. Transcriptional regulation of protein-coding genes is a major mechanism of controlling cellular functions. However, the myriad of transcription factors potentially controlling transcription of any given gene makes it often difficult to quickly identify the biological relevant transcription factors. Here, we report on the identification of Hnf4a as a major transcription factor of the so far unstudied DnaJ heat shock protein family (Hsp40) member C22 (Dnajc22). We propose an approach utilizing recent advances in computational biology and the wealth of publicly available genomic information guiding the identification of potential transcription factor candidates together with wet-lab experiments validating computational models. More specifically, the combined use of co-expression analyses based on self-organizing maps with sequence-based transcription factor binding prediction led to the identification of Hnf4a as the potential transcriptional regulator for Dnajc22 which was further corroborated using publicly available datasets on Hnf4a. Following this procedure, we determined its functional binding site in the murine Dnajc22 locus using ChIP-qPCR and luciferase assays and verified this regulatory loop in fruitfly, zebrafish, and humans.A. C. AschenbrennerK. BasslerM. BrondolinL. BonaguroP. CarreraK. KleeT. UlasJ. L. SchultzeM. HochNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
A. C. Aschenbrenner
K. Bassler
M. Brondolin
L. Bonaguro
P. Carrera
K. Klee
T. Ulas
J. L. Schultze
M. Hoch
A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a
description Abstract There is an enormous need to make better use of the ever increasing wealth of publicly available genomic information and to utilize the tremendous progress in computational approaches in the life sciences. Transcriptional regulation of protein-coding genes is a major mechanism of controlling cellular functions. However, the myriad of transcription factors potentially controlling transcription of any given gene makes it often difficult to quickly identify the biological relevant transcription factors. Here, we report on the identification of Hnf4a as a major transcription factor of the so far unstudied DnaJ heat shock protein family (Hsp40) member C22 (Dnajc22). We propose an approach utilizing recent advances in computational biology and the wealth of publicly available genomic information guiding the identification of potential transcription factor candidates together with wet-lab experiments validating computational models. More specifically, the combined use of co-expression analyses based on self-organizing maps with sequence-based transcription factor binding prediction led to the identification of Hnf4a as the potential transcriptional regulator for Dnajc22 which was further corroborated using publicly available datasets on Hnf4a. Following this procedure, we determined its functional binding site in the murine Dnajc22 locus using ChIP-qPCR and luciferase assays and verified this regulatory loop in fruitfly, zebrafish, and humans.
format article
author A. C. Aschenbrenner
K. Bassler
M. Brondolin
L. Bonaguro
P. Carrera
K. Klee
T. Ulas
J. L. Schultze
M. Hoch
author_facet A. C. Aschenbrenner
K. Bassler
M. Brondolin
L. Bonaguro
P. Carrera
K. Klee
T. Ulas
J. L. Schultze
M. Hoch
author_sort A. C. Aschenbrenner
title A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a
title_short A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a
title_full A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a
title_fullStr A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a
title_full_unstemmed A cross-species approach to identify transcriptional regulators exemplified for Dnajc22 and Hnf4a
title_sort cross-species approach to identify transcriptional regulators exemplified for dnajc22 and hnf4a
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/f2786cb37a584a7dbecb5be727dda15f
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