ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors.
ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors.
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DOI:
10.1101/gr.185157.114
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发表时间:
2015-06
期刊:
影响因子:
7
通讯作者:
Meijsing SH
中科院分区:
文献类型:
--
作者:
Starick SR;Ibn-Salem J;Jurk M;Hernandez C;Love MI;Chung HR;Vingron M;Thomas-Chollier M;Meijsing SH
The classical DNA recognition sequence of the glucocorticoid receptor (GR) appears to be present at only a fraction of bound genomic regions. To identify sequences responsible for recruitment of this transcription factor (TF) to individual loci, we turned to the high-resolution ChIP-exo approach. We exploited this signal by determining footprint profiles of TF binding at single-base-pair resolution using ExoProfiler, a computational pipeline based on DNA binding motifs. When applied to our GR and the few available public ChIP-exo data sets, we find that ChIP-exo footprints are protein- and recognition sequence-specific signatures of genomic TF association. Furthermore, we show that ChIP-exo captures information about TFs other than the one directly targeted by the antibody in the ChIP procedure. Consequently, the shape of the ChIP-exo footprint can be used to discriminate between direct and indirect (tethering to other DNA-bound proteins) DNA association of GR. Together, our findings indicate that the absence of classical recognition sequences can be explained by direct GR binding to a broader spectrum of sequences than previously known, either as a homodimer or as a heterodimer binding together with a member of the ETS or TEAD families of TFs, or alternatively by indirect recruitment via FOX or STAT proteins. ChIP-exo footprints also bring structural insights and locate DNA:protein cross-link points that are compatible with crystal structures of the studied TFs. Overall, our generically applicable footprint-based approach uncovers new structural and functional insights into the diverse ways of genomic cooperation and association of TFs.
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影响因子:
12.3
作者:
Worsley Hunt R;Wasserman WW
通讯作者:
Wasserman WW
影响因子:
7
作者:
Jankowski A;Szczurek E;Jauch R;Tiuryn J;Prabhakar S
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Prabhakar S
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30.8
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John S;Sabo PJ;Thurman RE;Sung MH;Biddie SC;Johnson TA;Hager GL;Stamatoyannopoulos JA
通讯作者:
Stamatoyannopoulos JA
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11.2
作者:
Sahu, Biswajyoti;Laakso, Marko;Janne, Olli A.
通讯作者:
Janne, Olli A.
影响因子:
64.5
作者:
SCHULE, R;RANGARAJAN, P;EVANS, RM
通讯作者:
EVANS, RM