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Endocrinology Vol. 139, No. 3 1361-1368
Copyright © 1998 by The Endocrine Society


ARTICLES

Dynamic Changes in Prolactin Promoter Activation in Individual Living Lactotrophic Cells

N. Takasuka1, M. R. H. White2, C. D. Wood, W. R. Robertson and J. R. E. Davis3

Endocrine Sciences Research Group, Department of Medicine, University of Manchester (N.T., W.R.R., J.R.E.D.), M13 9PT Manchester; School of Biological Sciences, University of Liverpool (M.R.H.W., C.D.W.), L69 7ZB Liverpool, United Kingdom

Address all correspondence and requests for reprints to: Julian R. E. Davis, Endocrine Sciences Research Group, Department of Medicine, Stopford Building, University of Manchester, M13 9PT, United Kingdom. E-mail: julian.davis{at}man.ac.uk


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
The firefly luciferase gene has become widely used as a convenient reporter for studies of gene promoter regulation. Very recently, the development of ultralow-light imaging cameras has enabled the quantitative digital imaging of light signals resulting from luciferase activation in the presence of luciferin substrate. We have applied this technology to the study of PRL promoter activation in individual pituitary tumor cells to study the temporal and spatial characteristics of the expression of a well-characterized pituitary hormone gene.

Rat pituitary GH3 cells were transfected by lipofection with a luciferase reporter gene linked to 5000 bp from the human PRL gene 5'-flanking region. A series of stably transfected cell clones were generated, and one of these was chosen for detailed study on the basis of appropriate regulation of high-level luciferase expression by a series of known stimuli including TRH, forskolin, the calcium channel agonist Bay K8644, and basic fibroblast growth factor (bFGF). These cells were subjected to direct imaging of luciferase activity using a Hamamatsu photon-counting camera linked to a Zeiss Axiovert microscope with an Argus-50 image processor. Cells were exposed to 1 mM luciferin, and images were integrated over 30-min periods for up to 72 h. The total photon count over a given field settled to steady levels within 10 h and then remained constant for over 55 h. Addition of forskolin, TRH, or bFGF increased the total photon count of fields of 20–100 cells by 2- to 4-fold consistent with previous data from transient expression assays using the human PRL promoter. Individual cells, on the other hand, showed marked marked temporal and spatial heterogeneity and variability of luciferase expression when studied at 3-h intervals. Unstimulated cells showed variable luciferase expression with up to 40-fold excursions in photon counts per single cell area within 12-h periods. Stimulation of cells with either TRH, forskolin, or bFGF resulted in smooth increases in photon output over fields of 20–100 cells, but again individual cell responses differed widely, with some cells showing slow progressive rises in photon output, others showing phasic or transient responses, and yet others showing no response.

In conclusion, we found a surprising degree of heterogeneity and temporal variability in the level of gene expression in individual living pituitary tumor cells over long periods of time, with markedly divergent responses to hormonal or intracellular stimulation. The use of stably transfected clonal cell lines with extended periods of reporter gene imaging offers a valuable insight into control of gene expression in living cells in real time.


    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
GENE expression has traditionally been measured in large populations of cells, either by RNA analysis or by transient expression analysis of transfected reporter gene constructs. These techniques involve destruction of the cells to perform the measurements, and quantitative studies usually involve large numbers of cells. The firefly luciferase gene has become an extensively used reporter gene in standard transfection experiments because of its convenience and sensitivity. Recently however, the development of ultralow-light imaging cameras has enabled the quantitative imaging of light resulting from its activation in the presence of luciferin substrate. Charge coupled device (CCD) photon-counting cameras integrate a light signal over a period of time, and the digital images may then be used for spatial and quantitative analysis (1, 2).

Clonal stable cell lines containing the luciferase gene under the control of either viral (2) or eukaryotic (3, 4) promoters produce readily detectable amounts of light using such CCD cameras, and the relatively short half-life of luciferase activity (~1 h) makes it a suitable reporter gene for dynamic studies of the kinetics of gene expression in living cells. These recent studies indicated a surprising degree of heterogeneity in both the basal level of reporter gene activation and also the responsiveness to activators and inhibitors of gene expression (2). Previous data on pituitary GC cells stably transfected with the luciferase reporter gene under the control of the GH promoter indicate that approximately 60% of the cells demonstrated activation of the GH promoter, implying that some cells were transcriptionally silent at given times (3). Similar variability in reporter gene expression was found in microinjected pituitary lactotroph cells over 24-h periods (5).

The human PRL (hPRL) gene has been well characterized, and comprises two independent promoter regions, a proximal 5000-bp region directing pituitary-specific expression (6), and a separate upstream region directing extrapituitary expression (7). The hPRL pituitary-specific regulatory region extends over 5000 bp upstream from the transcriptional start site, and is responsible for multihormonal regulation of the gene (6), similar to that shown for the rat PRL promoter. We previously confirmed the involvement of the pituitary transcription factor Pit-1, and in particular we characterized its role in hPRL activation by TRH, epidermal growth factor, calcium, and cAMP (6, 8, 9), using rat pituitary GH3 cells in which signaling systems have been well delineated.

In this study, we utilized the well-characterized lactotroph system to study the regulation of hPRL promoter activity in living individual cells over extended periods. We used repeated imaging of luciferase expression at 3-h intervals to demonstrate dramatic heterogeneity and short-term variability of expression in both resting and stimulated cells.


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Reporter gene construction
The hPRL-5000-Luc+ reporter gene was constructed using 5000 bp from the hPRL pituitary promoter [-4990/+14, excised from the phPRL5000-CAT vector (6)] linked to the luciferase (pSP-Luc+, Promega, Madison, WI) reporter gene. Proper promoter orientation was checked by restriction enzyme analysis.

Transfection and cell line selection
Rat pituitary GH3 cells were transfected by lipofection (Tfx-50, Promega) with the hPRL-5000-Luc+ construct together with a pSV2-neo vector (Clontech, Palo Alto, CA), and maintained in DMEM (ICN, Costa Mesa, CA) supplemented with 10% FCS. Stable transfectant clones were selected and recloned using G418 (500 µg/ml; GIBCO-BRL, Paisley, UK).

A series of cloned cell lines were then tested to ensure adequate level of resting (unstimulated) luciferase activity and appropriate hormonal inducibility, because this may differ according to site of integration of the transcriptional unit within the cell’s chromosomes. Cells were treated with 300 nM Bayer K8644 (Calbiochem, Nottingham, UK), 1000 nM TRH (Sigma, Poole, Dorset, UK), or 5 µM forskolin (Sigma) for 2–8 h, and cell lysates tested for luciferase activity using a Berthold Lumat LB 9501 luminometer (St. Albans, UK). One of the cell lines (termed phPRL-5000-Luc+D44, hereafter D44) was selected for further detailed study on the basis of reproducible 2- to 5-fold inductions in luciferase activity by each of the above stimuli, similar to the results seen using transient expression assays (data not shown). Basal and inducible luciferase activity in this line remained stable over 12 weeks in continuous cell culture.

Single cell imaging
Continuously cultured D44 cells were then subjected to direct imaging of luciferase activity. The cells were seeded on 35-mm dishes with coverslips attached at the base, and cultured for 1 or 2 days before imaging. The dishes were set on the 37 C heated stage of the microscope (Zeiss Axiovert-135TV, Vehuyn, Garden City, UK) in 5% CO2/95% air in a completely dark room. Images were obtained using either a 10x, 0.5NA dry, or 40x, 1.3NA oil immersion objective. Brightfield images were obtained using differential interference contrast (DIC). Beetle luciferin (potassium salt; Promega) was added to the cells (final concentration, 1 mM). Three minutes after adding luciferin, the first image (0 h) was captured using a photon-counting CCD camera (Hamamatsu Photonics, Enfield, UK). All images were integrated for 30 min. Images were taken sequentially every 3 h unless otherwise indicated. Both slice and center-of-gravity images were captured. The slice images were used for image display, whereas the center-of-gravity images were used for quantitative analysis. Images were processed using an Argus 50 image processor (Hamamatsu Photonics). Luminescence images were generated using a smoothing filter in the Hamamatsu Argus-50 image processing software, with an offset of -1 counts, and DIC images were generated using a sharpening filter.

Quantitation of photon count data
Quantitative data were obtained using the area analysis functions in the Argus-50 software. For the data shown in Fig. 2Go, circular areas of 10 pixel diameter, i.e. 79 pixels, were placed over the position of single cells, and the counts recorded throughout the image series. The average background for an area of this size was 0.76 counts per area per 30 min. Estimates of the variance of the background counts were obtained, and showed only minimal deviations from this background level (SD ± 1 count). An additional source of noise that must be taken into account in this quantification of photon-limited luminescence images is photon shot noise. This statistical variation in photon arrival may be estimated by the square root of the number of photons counted. A crude estimate of the likely variance of the photon counts between images may thus be calculated, in which variance = {checkmark}(total count) + (SDbackground)2. This confidence interval is represented by the gray envelopes associated with the graphs of photon counts from individual cell areas in Fig. 2Go. In Figs. 3Go and 4Go, the count from each cell was measured using different-sized pixel areas. The SD of the background was determined experimentally from areas of these images in which there were no cells. The background estimate for each cell was therefore calculated according to the pixel area sampled, and this is similarly shown as a shaded envelope for each graph of individual cell data in Figs. 3Go and 4Go.



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Figure 2. Photon counts from resting, unstimulated D44 lactotrophic cells after addition of luciferin. A, Photon counts over 30-min periods at 3-h intervals from overall field of about 100 cells over 68 h after luciferin addition; horizontal line represents background counts for this field. B–G, Photon counts acquired over 30-min periods at 3-h intervals for 68 h from six representative individual cell areas of 10-pixel diameter. Shaded area associated with each curve represents an estimate of variance of each individual point, calculated as described in Methods. Varying patterns and wide excursions of photon output are seen among different individual cells, with apparent pulses of PRL promoter activity in some cases.

 


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Figure 3. Photon counts from D44 lactotrophic cells after stimulation with 5 µM forskolin. Cells were treated with forskolin 11 h after initial addition of luciferin. A, Photon counts over 30-min periods at 3-h intervals from overall field of about 20 cells over 35 h after luciferin addition. B–G, Photon counts acquired over 30-min periods at 3-h intervals for 35 h from six representative individual cell areas. Shaded area associated with each curve represents an estimate of variance of each individual point, calculated as described in Methods. Horizontal shaded area at bottom of each lower panel represents background counts for single cell field (note different vertical scales in B–G).

 


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Figure 4. Photon counts from D44 lactotrophic cells after stimulation with 1 µM TRH. Cells were treated with TRH 16.5 h after initial addition of luciferin. A, Photon counts over 30-min periods at 3-h intervals from overall field of about 20 cells over 48 h after luciferin addition. B–G, Photon counts acquired over 30-min periods at 3-h intervals for 48 h from six representative individual cell areas. Shaded area associated with each curve represents an estimate of variance of each individual point, calculated as described in Methods. Horizontal shaded area at bottom of each lower panel represents background counts for single cell field (note different vertical scales in B–G).

 

    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Fields of 20–100 cells were studied after the addition of luciferin substrate, and photon counting data acquired both for fields of cells and also for individual cell areas. After the addition of luciferin, photon output from the overall field of cells increased to high levels, and then progressively fell to reach steady levels after 10 h. Thereafter, light output remained effectively constant for over 55 h (Fig. 1AGo and 2Go–4), and in subsequent experiments, test substances were therefore added at least 10 h after luciferin to ensure a stable baseline.



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Figure 1. A, Imaging of D44 lactotrophic cells, stably transfected with hPRL-Luc construct, after addition of luciferin. DIC represents initial brightfield image using a x40 objective, and subsequent images represent luminescence images from same field of cells collected over 30 min at 3-h intervals after addition of luciferin. An initial burst of photon output is seen from all cells in field, decaying rapidly to reach stable levels by 12–15 h. B, Same field of cells was then imaged after addition of bFGF (10 ng/ml). After a second DIC (brightfield) image at time of bFGF addition, luminescence images of living cells were acquired over 30-min periods at 3-h intervals for 70 h, of which early images are represented here.

 
Addition of forskolin, TRH, or basic fibroblast growth factor (bFGF) each increased the total photon count from fields of 20–100 cells by 2- to 4-fold, consistent with previous data from transient expression assays using the hPRL promoter (6). The induction of overall luciferase activity by forskolin and bFGF appeared stable for up to 70 h, though the TRH response fell back toward baseline after 30 h (Fig. 4Go). Individual cells, or in some cases small clumps of 2–3 cells, were selected from overall fields of 20–40 cells and tracked throughout the imaging period for up to 80 h after addition of luciferin, i.e. for up to 70 h after the achievement of a stable baseline photon output.

Individual cell areas, or cell-free background areas, were imaged for 30-min periods at 3-h intervals to generate quantitative data. Resting, unstimulated cells showed marked heterogeneity and variability of luciferase expression when studied at 3-h intervals over 55 h of observation, with up to 40-fold excursions in photon counts per area within 12-h periods (Fig. 2Go). More than 90% of cells studied exhibited high level luciferase activity immediately after luciferin addition, but subsequently some of these cells exhibited phasic oscillations or pulses in photon output, whereas other cells (that were capable of expressing luciferase during the initial burst of activity after luciferin addition) remained effectively silent throughout the observation period.

Whereas induction of hPRL promoter activity with any of the three stimuli (forskolin, TRH, or bFGF) led to smooth sustained overall luciferase activity in any given field, this concealed widely different responses when individual cells were analyzed. An experiment showing the response to bFGF is illustrated in Fig. 1BGo, and examples of responses to forskolin and TRH are shown graphically in Figs. 3Go and 4Go. From these quantitative data, it is clear that some cell areas displayed steady progressive rises in light emission, whereas others showed phasic or transient responses, and yet others showed no response to stimulation despite high initial luciferase activity (e.g. Fig. 4GGo). The degree of response of any given cell during the experiment was independent of the height of the initial surge of light output after luciferin. Although the overall increase in photon output from a field of 20 cells might be only 3- to 4-fold, individual cells displayed excursions of photon output as high as 50-fold during these studies.


    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
The use of luciferase reporter genes in conjunction with low-light imaging cameras has recently allowed important new approaches to the study of dynamic changes of gene expression in living cells and organisms. In this work, we utilized the pituitary-specific promoter of the hPRL gene to direct reporter gene expression in living stably transfected pituitary tumor cells. By using low-light imaging of single cells in real time over long periods, we demonstrated a surprising degree of variability in the level of gene expression in single pituitary cells over time, and markedly divergent temporal responses to hormonal stimulation among individual cells.

The most important novel finding presented by these data is the dynamic nature of gene expression during long-term continuous observations in both resting unstimulated cells and following hormonal stimulation or activation of intracellular signaling pathways. This poses interesting questions about the nature of stochastic phenomena controlling the rate of gene transcription in a given cell from hour to hour, or probably from minute to minute, and it is likely that the temporal nature of transcriptional integration of numerous stimuli will be increasingly accessible to future study using such approaches.

A number of reasons may be considered for both the spatial and temporal heterogeneity that we have observed, including cell-to-cell contact or paracrine factors, cell cycle effects, and variable activation of intracellular signaling systems and expression of transcription factors. In fact it has been known for several years that cells in the anterior pituitary gland, and in pituitary tumors in man, display marked heterogeneity in peptide hormone content and receptor expression, and this heterogeneity extends to clonal cell lines (10, 11). Hofland and co-workers showed highly variable GH secretion rates and messenger RNA content among individual cells from human pituitary adenomas (12, 13). Our present data indicate that this probably reflects widely differing and fluctuating rates of gene transcription. However the additional significance of the present work is in the unique new ability to analyze this cell-to-cell heterogeneity in gene expression at frequent intervals, and hence, show that it is not a static phenomenon but changes dramatically over time. Individual somatotrophic cells show varying amplitude of calcium transients (14), and it will be of interest to determine whether heterogeneity of intracellular signaling relates to the variable gene expression that we have observed.

Cell-to-cell contact may have an important effect on gene expression, which may be underestimated in cell culture systems, given the intimate spatial relationship between lactotrophs and gonadotrophic cells in the intact anterior pituitary gland. Recent data have confirmed that cell-cell contact among primary pituitary cell cultures affects gene expression, but that the effect depends on the pituitary cell type, with PRL-Luc expression being suppressed by adjacent lactotrophs but not by nonlactotrophic cells (15). In the present studies, we noted that cells may move over time, and in some cases formed cell-cell dyads during extended periods of observation. Interestingly, we observed a number of instances in which the formation of cell-cell dyads was associated with extinction of PRL-Luc expression in both of the contiguous lactotrophic cells (e.g. Fig. 1bGo, mid-left of panels at 24.5–36.5 h and other data not shown). Peptide hormone promoter activity may alter according to stage of cell cycle, and this may be a relevant factor in a clonal cell line with a doubling time of 40–50 h. Recent work demonstrated marked heterogeneity also in primary cultures of pituitary lactotroph cells, in which cell proliferation is probably limited (5), so this is probably not the only factor. Nonetheless the stable cell line that we describe now offers an important opportunity to analyze interrelationships between cell cycle and gene expression in a well-delineated cell model system that may be of general importance to a number of endocrine tissues.

Previous studies had not shown that the addition of luciferin had a significant effect on the level of stable light emission. However, none of the previous studies with transfected mammalian cells were performed over the very long consecutive imaging periods reported here. In transgenic plants expressing luciferase, the addition of luciferin has been shown to have a dramatic effect on the luciferase-directed luminescence in vivo (16, 17) and similar results have been shown in single heart cells microinjected with high levels of luciferase enzyme (18). It has been suggested that this decrease in luminescence following luciferin addition may be caused by inactivation by the luciferase metabolite oxyluciferin (18). Our results here show that a similar effect can occur in transfected mammalian cells, although we do not know whether this effect will prove to be general to all cell types.

In conclusion, we describe here for the first time dynamic and heterogeneous physiological changes in PRL promoter activation, recorded continuously in individual living pituitary tumor cells over periods of several days. The establishment of the stable cell system will allow future analysis of the significance and mechanisms of this aspect of gene regulation. The low copy number of the reporter gene construct in stably transfected cell lines offers the advantage over microinjected cells or transiently transfected cells of representing transcriptional phenomena as faithfully as possible similar to that of the endogenous genes, without possible distortion by factors such as competition for limiting amounts of transcription factors by very high copy numbers of episomal promoter-reporter constructs. Thus, despite the well-known cautions that apply to work with tumor cell lines, the system that we describe has important merits in terms of a tool for studying transcriptional phenomena in relation to other aspects of cell biology such as cell cycle and intracellular signaling. Systematic exploration of the role of paracrine phenomena and cell-cell contact will be greatly aided by the use of such cell systems using additional fluorescent or bioluminescent reporter genes that offer the possibility of studying activation of more than one gene promoter simultaneously.


    Acknowledgments
 
We are grateful to Louise Pennells for excellent technical assistance. M.R.H.W. is grateful to Hamamatsu Photonics for the generous provision of the imaging camera, to Carl Zeiss Ltd. for collaborative assistance, and to Dr. D. Fernig for generous provision of recombinant bFGF and Prof. J. A. Martial for provision of the original hPRL-5000-CAT construct. We are grateful to Dr. Steve Frawley for interesting and helpful critical discussion of these data.


    Footnotes
 
1 Current address: Department of Immunology, National Institute of Infectious Diseases, 1–23-1 Toyama, Shinjuku-ku, Tokyo 162, Japan. Back

2 Supported by Biotechnology and Biological Sciences Research Council. Back

3 Supported by Pharmacia and Upjohn. Back

Received August 11, 1997.


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 

  1. White MRH, Morse J, Boniszewski ZAM, Mundy CR, Brady MAW, Chiswell DJ 1990 Imaging of firefly luciferase expression in single mammalian cells using high sensitivity charge coupled devices. Technique 2:194–201
  2. White MRH, Masuko M, Amet L, Elliott G, Braddock M, Kingsman AJ, Kingsman SM 1995 Real-time analysis of the transcriptional regulation of HIV and hCMV promoters in single mammalian cells. J Cell Sci 108:441–455[Abstract]
  3. Frawley LS, Faught WJ, Nicholson J, Moomaw B 1994 Real time measurement of gene expression in living endocrine cells. Endocrinology 135:468–471[Abstract]
  4. Rutter GA, White MRH, Tavaré JM 1995 Non-invasive imaging of luciferase gene expression in single living cells reveals the involvement of MAP kinase in insulin signalling. Curr Opin Cell Biol 5:890–899
  5. Castaño JP, Kineman RD, Frawley LS 1996 Dynamic monitoring and quantification of gene expression in single, living cells: a molecular basis for secretory cell heterogeneity. Mol Endocrinol 10:599–605[Abstract/Free Full Text]
  6. Berwaer M, Monget P, Peers B, Mathy-Hartert M, Bellefroid E, Davis JRE, Belayew A, Martial JA 1991 Multihormonal regulation of human prolactin gene expression from 5000bp of its upstream sequence. Mol Cell Endocrinol 80:53–64[CrossRef][Medline]
  7. Berwaer M, Martial JA, Davis JRE 1994 Characterization of an upstream promoter directing extrapituitary expression of the human prolactin gene. Mol Endocrinol 8:635–642[Abstract/Free Full Text]
  8. Hoggard N, Davis JRE, Berwaer M, Monget P, Peers B, Belayew A, Martial JA 1991 Pit-1 binding sequences permit calcium regulation of human prolactin gene expression. Mol Endocrinol 5:1748–1754[Abstract/Free Full Text]
  9. Berwaer M, Peers B, Nalda AM, Monget P, Davis JRE, Belayew A, Martial JA 1993 Thyrotropin-releasing hormone and epidermal growth factor induce human prolactin expression via identical multiple cis elements. Mol Cell Endocrinol 92:1–7[CrossRef][Medline]
  10. Frawley LS, Neill JD 1984 A reverse haemolytic plaque assay for microscopic visualisation of growth hormone release from individual cells: evidence for somatotrope heterogeneity. Neuroendocrinology 39:484–487[CrossRef][Medline]
  11. Davis JRE 1991 Heterogeneity of growth hormone production in human pituitary tumour cells. Clin Endocrinol (Oxf) 34:3–4[Medline]
  12. Holl RW, Thorner MO, Leong DA 1988 Intracellular calcium concentration and growth hormone secretion in individual somatotropes: effect of growth hormone-releasing factor and somatostatin. Endocrinology 122:2927–2932[Abstract/Free Full Text]
  13. Hofland LJ, Van Koetsveld PM, Van Vroonhoeven CCJ, Stefanko SZ, Lamberts SWJ 1989 heterogeneity of growth hormone (GH) release by individual pituitary adenoma cells from acromegalic patients, as determined by the reverse hemolytic plaque assay: effects of SMS 201–995, GH-releasing hormone and thyrotropin-releasing hormone. J Clin Endocrinol Metab 68:613–620[Abstract/Free Full Text]
  14. Hofland LJ, Velkeniers B, van Koetsveld PM, Hooghe-Peters EL, Lamberts SWJ 1991 The relationship between growth hormone (GH) messenger ribonucleic acid levels and hormone release from individual cells derived from human GH-secreting pituitary adenomas. Clin Endocrinol (Oxf) 34:5–11[Medline]
  15. Abraham EJ, Faught WJ, Frawley LS 1996 Intercellular communication: relative importance of cellular adhesion and paracrine signaling to hormonal gene expression. Endocrinology 137:4050–4053[Abstract]
  16. Millar AJ, Short RR, Chua NH, Kay SA 1992 A novel circadian phenotype based on firefly luciferase in transgenic plants. Plant Cell 4:1075–1087[Abstract/Free Full Text]
  17. White MRH, Wood CD, Millar AJ 1996 Real time imaging of transcription in living cells and tissues. Biochem Soc Trans 24:411S
  18. Gandelman O, Allue I, Bowers K, Cobbold P 1994 Cytoplasmic factors that affect the intensity and stability of bioluminescence from firefly luciferase in living mammalian cells. J Biolumin Chemilumin 9:363–371[CrossRef][Medline]



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Transcriptional Targeting to Anterior Pituitary Lactotrophic Cells Using Recombinant Adenovirus Vectors in Vitro and in Vivo in Normal and Estrogen/Sulpiride-Induced Hyperplasic Anterior Pituitaries
Endocrinology, September 1, 2000; 141(9): 3493 - 3505.
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Proc. Natl. Acad. Sci. USAHome page
M. Faria, C. D. Wood, L. Perrouault, J. S. Nelson, A. Winter, M. R. H. White, C. Helene, and C. Giovannangeli
Targeted inhibition of transcription elongation in cells mediated by triplex-forming oligonucleotides
PNAS, April 11, 2000; 97(8): 3862 - 3867.
[Abstract] [Full Text] [PDF]


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Am. J. Physiol. Endocrinol. Metab.Home page
S. T. Willard, M. D. Amstutz, E. J. Abraham, J. P. Castano, D. C. Leaumont, W. J. Faught, and L. S. Frawley
Simultaneous indirect activity measurements of GH and PRL genes in the same, living mammosomatotrope
Am J Physiol Endocrinol Metab, December 1, 1999; 277(6): E1150 - E1153.
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Mol. Endocrinol.Home page
C. Villalobos, W. J. Faught, and L. S. Frawley
Dynamics of Stimulus-Expression Coupling as Revealed by Monitoring of Prolactin Promoter-Driven Reporter Activity in Individual, Living Mammotropes
Mol. Endocrinol., October 1, 1999; 13(10): 1718 - 1727.
[Abstract] [Full Text]


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