DNase I hypersensitivity analysis of non-pituitary human prolactin gene expression

1999 ◽  
Vol 152 (1-2) ◽  
pp. 147-159 ◽  
Author(s):  
Michelle Gaasenbeek ◽  
Birgit Gellersen ◽  
Gabriel E. DiMattia
Keyword(s):  
Gene Expression ◽  
Dnase I ◽  
Dnase I Hypersensitivity ◽  
Prolactin Gene ◽  
Human Prolactin

Multihormonal regulation of the human prolactin gene expression from 5000 bp of its upstream sequence

1991 ◽  
Vol 80 (1-3) ◽  
pp. 53-64 ◽  
Author(s):  
Monique Berwaer ◽  
Philippe Monget ◽  
Bernard Peers ◽  
Marianne Mathy-Hartert ◽  
Eric Bellefroid ◽  
...  
Keyword(s):  
Gene Expression ◽  
Upstream Sequence ◽  
Prolactin Gene ◽  
Human Prolactin

scholarly journals Genome-wide Prediction of DNase I Hypersensitivity Using Gene Expression

2016 ◽  
Author(s):  
Weiqiang Zhou ◽  
Ben Sherwood ◽  
Zhicheng Ji ◽  
Fang Du ◽  
Jiawei Bai ◽  
...  
Keyword(s):  
Gene Expression ◽  
Prediction Models ◽  
Regulatory Element ◽  
Gene Expression Omnibus ◽  
Dnase I ◽  
Dnase I Hypersensitivity ◽  
Genome Wide ◽  
High Dimensional Problem ◽  
Data Regression ◽  
Whole Transcriptome

We evaluate the feasibility of using a biological sample’s transcriptome to predict its genome-wide regulatory element activities measured by DNase I hypersensitivity (DH). We develop BIRD, Big Data Regression for predicting DH, to handle this high-dimensional problem. Applying BIRD to the Encyclopedia of DNA Element (ENCODE) data, we found that gene expression to a large extent predicts DH, and information useful for prediction is contained in the whole transcriptome rather than limited to a regulatory element’s neighboring genes. We show that the predicted DH predicts transcription factor binding sites (TFBSs), prediction models trained using ENCODE data can be applied to gene expression samples in Gene Expression Omnibus (GEO) to predict regulome, and one can use predictions as pseudo-replicates to improve the analysis of high-throughput regulome profiling data. Besides improving our understanding of the regulome-transcriptome relationship, this study suggests that transcriptome-based prediction can provide a useful new approach for regulome mapping.

scholarly journals Genome-wide prediction of DNase I hypersensitivity using gene expression

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Weiqiang Zhou ◽  
Ben Sherwood ◽  
Zhicheng Ji ◽  
Yingchao Xue ◽  
Fang Du ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dnase I ◽  
Dnase I Hypersensitivity ◽  
Genome Wide

scholarly journals Pit-1 Binding Sequences Permit Calcium Regulation of Human Prolactin Gene Expression

1991 ◽  
Vol 5 (11) ◽  
pp. 1748-1754 ◽  
Author(s):  
Nigel Hoggard ◽  
Julian R. E. Davis ◽  
Monique Berwaer ◽  
Philippe Monget ◽  
Bernard Peers ◽  
...  
Keyword(s):  
Gene Expression ◽  
Calcium Regulation ◽  
Prolactin Gene ◽  
Human Prolactin

Rapamycin, FK506 and cyclosporin A inhibit human prolactin gene expression

FEBS Letters ◽  
1995 ◽  
Vol 358 (2) ◽  
pp. 158-160 ◽  
Author(s):  
Stefaan Wera ◽  
Alexandra Belayew ◽  
Joseph A. Martial
Keyword(s):  
Gene Expression ◽  
Cyclosporin A ◽  
Prolactin Gene ◽  
Human Prolactin
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