Literature DB >> 20130141

Dynamic organisation of prolactin gene expression in living pituitary tissue.

Claire V Harper1, Karen Featherstone, Sabrina Semprini, Sönke Friedrichsen, Judith McNeilly, Pawel Paszek, David G Spiller, Alan S McNeilly, John J Mullins, Julian R E Davis, Michael R H White.   

Abstract

Gene expression in living cells is highly dynamic, but temporal patterns of gene expression in intact tissues are largely unknown. The mammalian pituitary gland comprises several intermingled cell types, organised as interdigitated networks that interact functionally to generate co-ordinated hormone secretion. Live-cell imaging was used to quantify patterns of reporter gene expression in dispersed lactotrophic cells or intact pituitary tissue from bacterial artificial chromosome (BAC) transgenic rats in which a large prolactin genomic fragment directed expression of luciferase or destabilised enhanced green fluorescent protein (d2EGFP). Prolactin promoter activity in transgenic pituitaries varied with time across different regions of the gland. Although amplitude of transcriptional responses differed, all regions of the gland displayed similar overall patterns of reporter gene expression over a 50-hour period, implying overall co-ordination of cellular behaviour. By contrast, enzymatically dispersed pituitary cell cultures showed unsynchronised fluctuations of promoter activity amongst different cells, suggesting that transcriptional patterns were constrained by tissue architecture. Short-term, high resolution, single cell analyses in prolactin-d2EGFP transgenic pituitary slice preparations showed varying transcriptional patterns with little correlation between adjacent cells. Together, these data suggest that pituitary tissue comprises a series of cell ensembles, which individually display a variety of patterns of short-term stochastic behaviour, but together yield long-range and long-term coordinated behaviour.

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Year:  2010        PMID: 20130141      PMCID: PMC2816187          DOI: 10.1242/jcs.060434

Source DB:  PubMed          Journal:  J Cell Sci        ISSN: 0021-9533            Impact factor:   5.285


  27 in total

1.  Persistent synchronized oscillations in prolactin gene promoter activity in living pituitary cells.

Authors:  D W McFerran; J A Stirland; A J Norris; R A Khan; N Takasuka; Z C Seymour; M S Gill; W R Robertson; A S Loudon; J R Davis; M R White
Journal:  Endocrinology       Date:  2001-07       Impact factor: 4.736

Review 2.  Dopamine as a prolactin (PRL) inhibitor.

Authors:  N Ben-Jonathan; R Hnasko
Journal:  Endocr Rev       Date:  2001-12       Impact factor: 19.871

3.  PRL gene expression in individual living mammotropes displays distinct functional pulses that oscillate in a noncircadian temporal pattern.

Authors:  Spencer L Shorte; Gilles M Leclerc; Rafael Vazquez-Martinez; David C Leaumont; William J Faught; L Stephen Frawley; Fredric R Boockfor
Journal:  Endocrinology       Date:  2002-03       Impact factor: 4.736

4.  Dynamic patterns of growth hormone gene transcription in individual living pituitary cells.

Authors:  A J Norris; J A Stirland; D W McFerran; Z C Seymour; D G Spiller; A S I Loudon; M R H White; J R E Davis
Journal:  Mol Endocrinol       Date:  2003-02

5.  Real-time imaging of gene promoter activity using an adenoviral reporter construct demonstrates transcriptional dynamics in normal anterior pituitary cells.

Authors:  J A Stirland; Z C Seymour; S Windeatt; A J Norris; P Stanley; M G Castro; A S I Loudon; M R H White; J R E Davis
Journal:  J Endocrinol       Date:  2003-07       Impact factor: 4.286

6.  The trophic effects of oestrogen on male rat anterior pituitary lactotrophs.

Authors:  L A Nolan; A Levy
Journal:  J Neuroendocrinol       Date:  2009-05       Impact factor: 3.627

7.  Rapid actions of 17beta-oestradiol on a subset of lactotrophs in the rat pituitary.

Authors:  H C Christian; J F Morris
Journal:  J Physiol       Date:  2002-03-01       Impact factor: 5.182

8.  Classifications of anterior pituitary cell types with immunoenzyme histochemistry.

Authors:  P K Nakane
Journal:  J Histochem Cytochem       Date:  1970-01       Impact factor: 2.479

9.  Fine structural criteria of prolactin cells identified immunohistochemically in the male rat.

Authors:  H Nogami; F Yoshimura
Journal:  Anat Rec       Date:  1982-02

10.  Immunocytochemical analysis of prolactin cells in the adult rat adenohypophysis: distribution and quantitation relative to sex and strain.

Authors:  C J Phelps
Journal:  Am J Anat       Date:  1986-06
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  21 in total

Review 1.  Measurement of single-cell dynamics.

Authors:  David G Spiller; Christopher D Wood; David A Rand; Michael R H White
Journal:  Nature       Date:  2010-06-10       Impact factor: 49.962

Review 2.  Noise-driven heterogeneity in the rate of genetic-variant generation as a basis for evolvability.

Authors:  Jean-Pascal Capp
Journal:  Genetics       Date:  2010-06       Impact factor: 4.562

3.  Fluctuations of pol I and fibrillarin contents of the nucleoli.

Authors:  M Hornáček; L Kováčik; T Mazel; D Cmarko; E Bártová; I Raška; E Smirnov
Journal:  Nucleus       Date:  2017-06-16       Impact factor: 4.197

Review 4.  Cell signaling as a cognitive process.

Authors:  Aneta Koseska; Philippe Ih Bastiaens
Journal:  EMBO J       Date:  2017-01-30       Impact factor: 11.598

5.  Interrogation of inhibitor of nuclear factor κB α/nuclear factor κB (IκBα/NF-κB) negative feedback loop dynamics: from single cells to live animals in vivo.

Authors:  Britney L Moss; Adnan Elhammali; Tiffanie Fowlkes; Shimon Gross; Anant Vinjamoori; Christopher H Contag; David Piwnica-Worms
Journal:  J Biol Chem       Date:  2012-07-17       Impact factor: 5.157

6.  A continuum model of transcriptional bursting.

Authors:  Adam M Corrigan; Edward Tunnacliffe; Danielle Cannon; Jonathan R Chubb
Journal:  Elife       Date:  2016-02-20       Impact factor: 8.140

7.  Live imaging of nascent RNA dynamics reveals distinct types of transcriptional pulse regulation.

Authors:  Tetsuya Muramoto; Danielle Cannon; Marek Gierlinski; Adam Corrigan; Geoffrey J Barton; Jonathan R Chubb
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-23       Impact factor: 11.205

8.  The living microarray: a high-throughput platform for measuring transcription dynamics in single cells.

Authors:  Saravanan Rajan; Haig Djambazian; Huan Chu Pham Dang; Rob Sladek; Thomas J Hudson
Journal:  BMC Genomics       Date:  2011-02-16       Impact factor: 3.969

9.  Pulsatile patterns of pituitary hormone gene expression change during development.

Authors:  Karen Featherstone; Claire V Harper; Anne McNamara; Sabrina Semprini; David G Spiller; Judith McNeilly; Alan S McNeilly; John J Mullins; Michael R H White; Julian R E Davis
Journal:  J Cell Sci       Date:  2011-10-07       Impact factor: 5.285

10.  A stochastic transcriptional switch model for single cell imaging data.

Authors:  Kirsty L Hey; Hiroshi Momiji; Karen Featherstone; Julian R E Davis; Michael R H White; David A Rand; Bärbel Finkenstädt
Journal:  Biostatistics       Date:  2015-03-26       Impact factor: 5.899

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