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Transcriptional interference by small transcripts in proximal promoter regions

Proximal promoter regions (PPR) are heavily transcribed yielding different types of small RNAs. The act of transcription within PPRs might regulate downstream gene expression via transcriptional interference (TI). For analysis, we investigated capped and polyadenylated small RNA transcripts within P...

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Autores principales: Pande, Amit, Brosius, Jürgen, Makalowska, Izabela, Makalowski, Wojciech, Raabe, Carsten A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815073/
https://www.ncbi.nlm.nih.gov/pubmed/29309647
http://dx.doi.org/10.1093/nar/gkx1242
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author Pande, Amit
Brosius, Jürgen
Makalowska, Izabela
Makalowski, Wojciech
Raabe, Carsten A
author_facet Pande, Amit
Brosius, Jürgen
Makalowska, Izabela
Makalowski, Wojciech
Raabe, Carsten A
author_sort Pande, Amit
collection PubMed
description Proximal promoter regions (PPR) are heavily transcribed yielding different types of small RNAs. The act of transcription within PPRs might regulate downstream gene expression via transcriptional interference (TI). For analysis, we investigated capped and polyadenylated small RNA transcripts within PPRs of human RefSeq genes in eight different cell lines. Transcripts of our datasets overlapped with experimentally determined transcription factor binding sites (TFBS). For TFBSs intersected by these small RNA transcripts, we established negative correlation of sRNA expression levels and transcription factor (TF) DNA binding affinities; suggesting that the transcripts acted via TI. Accordingly, datasets were designated as TFbiTrs (TF-binding interfering transcripts). Expression of most TFbiTrs was restricted to certain cell lines. This facilitated the analysis of effects related to TFbiTr expression for the same RefSeq genes across cell lines. We consistently uncovered higher relative TF/DNA binding affinities and concomitantly higher expression levels for RefSeq genes in the absence of TFbiTrs. Analysis of corresponding chromatin landscapes supported these results. ChIA-PET revealed the participation of distal enhancers in TFbiTr transcription. Enhancers regulating TFbiTrs, in effect, act as repressors for corresponding downstream RefSeq genes. We demonstrate the significant impact of TI on gene expression using selected small RNA datasets.
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spelling pubmed-58150732018-02-23 Transcriptional interference by small transcripts in proximal promoter regions Pande, Amit Brosius, Jürgen Makalowska, Izabela Makalowski, Wojciech Raabe, Carsten A Nucleic Acids Res Computational Biology Proximal promoter regions (PPR) are heavily transcribed yielding different types of small RNAs. The act of transcription within PPRs might regulate downstream gene expression via transcriptional interference (TI). For analysis, we investigated capped and polyadenylated small RNA transcripts within PPRs of human RefSeq genes in eight different cell lines. Transcripts of our datasets overlapped with experimentally determined transcription factor binding sites (TFBS). For TFBSs intersected by these small RNA transcripts, we established negative correlation of sRNA expression levels and transcription factor (TF) DNA binding affinities; suggesting that the transcripts acted via TI. Accordingly, datasets were designated as TFbiTrs (TF-binding interfering transcripts). Expression of most TFbiTrs was restricted to certain cell lines. This facilitated the analysis of effects related to TFbiTr expression for the same RefSeq genes across cell lines. We consistently uncovered higher relative TF/DNA binding affinities and concomitantly higher expression levels for RefSeq genes in the absence of TFbiTrs. Analysis of corresponding chromatin landscapes supported these results. ChIA-PET revealed the participation of distal enhancers in TFbiTr transcription. Enhancers regulating TFbiTrs, in effect, act as repressors for corresponding downstream RefSeq genes. We demonstrate the significant impact of TI on gene expression using selected small RNA datasets. Oxford University Press 2018-02-16 2018-01-04 /pmc/articles/PMC5815073/ /pubmed/29309647 http://dx.doi.org/10.1093/nar/gkx1242 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Pande, Amit
Brosius, Jürgen
Makalowska, Izabela
Makalowski, Wojciech
Raabe, Carsten A
Transcriptional interference by small transcripts in proximal promoter regions
title Transcriptional interference by small transcripts in proximal promoter regions
title_full Transcriptional interference by small transcripts in proximal promoter regions
title_fullStr Transcriptional interference by small transcripts in proximal promoter regions
title_full_unstemmed Transcriptional interference by small transcripts in proximal promoter regions
title_short Transcriptional interference by small transcripts in proximal promoter regions
title_sort transcriptional interference by small transcripts in proximal promoter regions
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815073/
https://www.ncbi.nlm.nih.gov/pubmed/29309647
http://dx.doi.org/10.1093/nar/gkx1242
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