Transcriptome dynamics of the microRNA inhibition response

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Standard

Transcriptome dynamics of the microRNA inhibition response. / Wen, Jiayu; Leucci, Elenora; Vendramin, Roberto; Kauppinen, Sakari; Lund, Anders H.; Krogh, Anders; Parker, Brian John.

I: Nucleic Acids Research, Bind 43, Nr. 13, 2015, s. 6207-6221.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Wen, J, Leucci, E, Vendramin, R, Kauppinen, S, Lund, AH, Krogh, A & Parker, BJ 2015, 'Transcriptome dynamics of the microRNA inhibition response', Nucleic Acids Research, bind 43, nr. 13, s. 6207-6221. https://doi.org/10.1093/nar/gkv603, https://doi.org/Transcriptome dynamics of the microRNA inhibition response

APA

Wen, J., Leucci, E., Vendramin, R., Kauppinen, S., Lund, A. H., Krogh, A., & Parker, B. J. (2015). Transcriptome dynamics of the microRNA inhibition response. Nucleic Acids Research, 43(13), 6207-6221. https://doi.org/10.1093/nar/gkv603, https://doi.org/Transcriptome dynamics of the microRNA inhibition response

Vancouver

Wen J, Leucci E, Vendramin R, Kauppinen S, Lund AH, Krogh A o.a. Transcriptome dynamics of the microRNA inhibition response. Nucleic Acids Research. 2015;43(13):6207-6221. https://doi.org/10.1093/nar/gkv603, https://doi.org/Transcriptome dynamics of the microRNA inhibition response

Author

Wen, Jiayu ; Leucci, Elenora ; Vendramin, Roberto ; Kauppinen, Sakari ; Lund, Anders H. ; Krogh, Anders ; Parker, Brian John. / Transcriptome dynamics of the microRNA inhibition response. I: Nucleic Acids Research. 2015 ; Bind 43, Nr. 13. s. 6207-6221.

Bibtex

@article{e4db7723770f4b14bf3778ef15172504,
title = "Transcriptome dynamics of the microRNA inhibition response",
abstract = "We report a high-resolution time series study of transcriptome dynamics following antimiR-mediated inhibition of miR-9 in a Hodgkin lymphoma cell-line-the first such dynamic study of the microRNA inhibition response-revealing both general and specific aspects of the physiological response. We show miR-9 inhibition inducing a multiphasic transcriptome response, with a direct target perturbation before 4 h, earlier than previously reported, amplified by a downstream peak at ∼32 h consistent with an indirect response due to secondary coherent regulation. Predictive modelling indicates a major role for miR-9 in post-transcriptional control of RNA processing and RNA binding protein regulation. Cluster analysis identifies multiple co-regulated gene regulatory modules. Functionally, we observe a shift over time from mRNA processing at early time points to translation at later time points. We validate the key observations with independent time series qPCR and we experimentally validate key predicted miR-9 targets. Methodologically, we developed sensitive functional data analytic predictive methods to analyse the weak response inherent in microRNA inhibition experiments. The methods of this study will be applicable to similar high-resolution time series transcriptome analyses and provides the context for more accurate experimental design and interpretation of future microRNA inhibition studies.",
author = "Jiayu Wen and Elenora Leucci and Roberto Vendramin and Sakari Kauppinen and Lund, {Anders H.} and Anders Krogh and Parker, {Brian John}",
note = "{\textcopyright} The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.",
year = "2015",
doi = "10.1093/nar/gkv603",
language = "English",
volume = "43",
pages = "6207--6221",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "13",

}

RIS

TY - JOUR

T1 - Transcriptome dynamics of the microRNA inhibition response

AU - Wen, Jiayu

AU - Leucci, Elenora

AU - Vendramin, Roberto

AU - Kauppinen, Sakari

AU - Lund, Anders H.

AU - Krogh, Anders

AU - Parker, Brian John

N1 - © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

PY - 2015

Y1 - 2015

N2 - We report a high-resolution time series study of transcriptome dynamics following antimiR-mediated inhibition of miR-9 in a Hodgkin lymphoma cell-line-the first such dynamic study of the microRNA inhibition response-revealing both general and specific aspects of the physiological response. We show miR-9 inhibition inducing a multiphasic transcriptome response, with a direct target perturbation before 4 h, earlier than previously reported, amplified by a downstream peak at ∼32 h consistent with an indirect response due to secondary coherent regulation. Predictive modelling indicates a major role for miR-9 in post-transcriptional control of RNA processing and RNA binding protein regulation. Cluster analysis identifies multiple co-regulated gene regulatory modules. Functionally, we observe a shift over time from mRNA processing at early time points to translation at later time points. We validate the key observations with independent time series qPCR and we experimentally validate key predicted miR-9 targets. Methodologically, we developed sensitive functional data analytic predictive methods to analyse the weak response inherent in microRNA inhibition experiments. The methods of this study will be applicable to similar high-resolution time series transcriptome analyses and provides the context for more accurate experimental design and interpretation of future microRNA inhibition studies.

AB - We report a high-resolution time series study of transcriptome dynamics following antimiR-mediated inhibition of miR-9 in a Hodgkin lymphoma cell-line-the first such dynamic study of the microRNA inhibition response-revealing both general and specific aspects of the physiological response. We show miR-9 inhibition inducing a multiphasic transcriptome response, with a direct target perturbation before 4 h, earlier than previously reported, amplified by a downstream peak at ∼32 h consistent with an indirect response due to secondary coherent regulation. Predictive modelling indicates a major role for miR-9 in post-transcriptional control of RNA processing and RNA binding protein regulation. Cluster analysis identifies multiple co-regulated gene regulatory modules. Functionally, we observe a shift over time from mRNA processing at early time points to translation at later time points. We validate the key observations with independent time series qPCR and we experimentally validate key predicted miR-9 targets. Methodologically, we developed sensitive functional data analytic predictive methods to analyse the weak response inherent in microRNA inhibition experiments. The methods of this study will be applicable to similar high-resolution time series transcriptome analyses and provides the context for more accurate experimental design and interpretation of future microRNA inhibition studies.

UR - https://academic.oup.com/nar/article/44/9/4486/2462268

U2 - 10.1093/nar/gkv603

DO - 10.1093/nar/gkv603

M3 - Journal article

C2 - 26089393

VL - 43

SP - 6207

EP - 6221

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - 13

ER -

ID: 140061721