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miRNA-mediated feedback inhibition of JAK/STAT morphogen signalling establishes a cell fate threshold.
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MedLine Citation:
PMID:  21857668     Owner:  NLM     Status:  MEDLINE    
Patterns of cell fates generated by morphogens are critically important for normal development; however, the mechanisms by which graded morphogen signals are converted into all-or-none cell fate responses are incompletely understood. In the Drosophila ovary, high and sustained levels of the secreted morphogen Unpaired (Upd) specify the migratory border-cell population by activating the signal transducer and activator of transcription (STAT). A lower or transient level of STAT activity specifies a non-migratory population of follicle cells. Here we identify miR-279 as a component of a feedback pathway that further dampens the response in cells with low levels of JAK/STAT activity. miR-279 directly repressed STAT, and loss of miR-279 mimicked STAT gain-of-function or loss of Apontic (Apt), a known feedback inhibitor of STAT. Apt was essential for miR-279 expression in non-migratory follicle cells, whereas another STAT target, Ken and Barbie (Ken), downregulated miR-279 in border cells. Mathematical modelling and simulations of this regulatory circuit including miR-279, Apt and Ken supported key roles for miR-279 and Apt in generating threshold responses to the Upd gradient.
Wan Hee Yoon; Hans Meinhardt; Denise J Montell
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2011-08-21
Journal Detail:
Title:  Nature cell biology     Volume:  13     ISSN:  1476-4679     ISO Abbreviation:  Nat. Cell Biol.     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-09-05     Completed Date:  2011-12-07     Revised Date:  2014-09-16    
Medline Journal Info:
Nlm Unique ID:  100890575     Medline TA:  Nat Cell Biol     Country:  England    
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Languages:  eng     Pagination:  1062-9     Citation Subset:  IM    
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MeSH Terms
Animals, Genetically Modified
Cell Line
DNA-Binding Proteins / genetics,  metabolism
Drosophila Proteins / genetics,  metabolism*
Drosophila melanogaster / cytology,  genetics,  metabolism
Feedback, Physiological
Green Fluorescent Proteins / genetics,  metabolism
Janus Kinases / genetics,  metabolism*
MicroRNAs / genetics*
Microscopy, Confocal
Models, Biological
Oocytes / cytology,  metabolism
Ovary / cytology,  metabolism
STAT Transcription Factors / genetics,  metabolism*
Transcription Factors / genetics,  metabolism*
Grant Support
Reg. No./Substance:
0/DNA-Binding Proteins; 0/Drosophila Proteins; 0/Ken protein, Drosophila; 0/MIRN279 microRNA, Drosophila; 0/MicroRNAs; 0/STAT Transcription Factors; 0/Transcription Factors; 0/apontic protein, Drosophila; 147336-22-9/Green Fluorescent Proteins; EC Kinases; EC protein, Drosophila

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Journal Information
Journal ID (nlm-journal-id): 100890575
Journal ID (pubmed-jr-id): 21417
Journal ID (nlm-ta): Nat Cell Biol
ISSN: 1465-7392
ISSN: 1476-4679
Article Information
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nihms-submitted publication date: Day: 19 Month: 7 Year: 2011
Electronic publication date: Day: 21 Month: 8 Year: 2011
pmc-release publication date: Day: 1 Month: 3 Year: 2012
Volume: 13 Issue: 9
First Page: 1062 Last Page: 1069
ID: 3167036
PubMed Id: 21857668
DOI: 10.1038/ncb2316
ID: nihpa310135

miRNA-mediated feedback inhibition of JAK/STAT morphogen signaling establishes a cell fate threshold
Wan Hee Yoon1
Hans Meinhardt2
Denise J. Montell1*
1Department of Biological Chemistry, Center for Cell Dynamics, Johns Hopkins University School of Medicine, 855 North Wolfe St., Suite 450, Baltimore, MD 21205, USA
2Max-Planck-Institut für Entwicklungsbiologie, Spemannstrasse 35, D-72076 Tübingen, Germany
*To whom correspondence should be addressed to D.J.M.,

Patterns of cell fates generated by morphogens are critically important for normal development, yet the mechanisms by which graded morphogen signals are converted into all-or-none cell fate responses are incompletely understood. In the Drosophila ovary, high and sustained levels of the secreted morphogen Unpaired (Upd) specify the migratory border cell population by activating the Signal Transducer and Activator of Transcription (STAT)1,2. Lower and transient STAT activity specifies a non-migratory population of follicle cells3,4. Here we identify miR-279 as a component of a feedback pathway that further dampens the response in cells with low JAK/STAT activity. miR-279 directly repressed STAT, whereas loss of miR-279 mimicked STAT gain-of-function or loss of Apontic (Apt), a known feedback inhibitor of STAT. Apt was essential for miR-279 expression in non-migratory follicle cells whereas another STAT target, Ken and Barbie (Ken), down-regulated miR-279 in border cells. Mathematical modeling and simulations of this regulatory circuit including miR-279, Apt, and Ken supported key roles for miR-279 and Apt in generating threshold responses to the Upd gradient.

Morphogens emanate from a localized source, generate a gradient, and pattern gene expression during development. Target gene responses are not necessarily graded. In fact normal pattern formation frequently requires target gene expression to differ dramatically between neighboring cells, even if there is only a small morphogen concentration difference. Known mechanisms that convert graded signals to all-or-none responses include cooperative binding of Bicoid to the hunchback enhancer5, as well as positive transcriptional feedback6, 7 and mutual repression of target genes8.

In the Drosophila ovary, STAT functions as a morphogen that patterns follicle cell fates3. Fruit fly ovaries are composed of egg chambers, each of which produces an egg. Egg chambers contain 16 germline cells (15 nurse cells and 1 oocyte) enveloped by a monolayer of epithelial follicle cells. At each egg chamber pole, a pair of polar cells develops and secretes Upd, a cytokine. Upd diffuses to form an extracellular gradient9 and specifies distinct cell fates at different concentrations3, 4. Border cells differentiate immediately adjacent to the anterior polar cell pair, where the morphogen concentration is highest. STAT activity is indispensable for the specification and migration of border cells1, 10. Although initially Upd activates STAT in a gradient across ~12 cells, only 4–6 cells differentiate as migratory border cells and retain high levels of STAT activity, due to a negative feedback circuit that includes the Apontic (Apt) protein4. In contrast to graded STAT activity, Apt is expressed relatively uniformly in anterior follicle cells. Those cells in which STAT activity exceeds Apt maintain high STAT, differentiate as border cells, invade the neighboring nurse cells and migrate, carrying the polar cells with them4. Cells in which Apt inhibition exceeds STAT activation, differentiate as squamous follicle cells and remain within the epithelium4. It is unclear however by what molecular mechanism Apt antagonizes STAT.

We investigated the possibility that one or more microRNAs (miRNAs) might function in patterning follicle cell fates and STAT activity. MiRNAs are non-coding 22–24 nucleotide RNAs that repress gene expression post-transcriptionally by partial pairing with the 3’ UTR of specific mRNAs11. MiRNAs can fine-tune target gene expression levels12. To test whether a miRNA might modulate morphogen gradient responses, we searched for miRNAs predicted to bind the 3’UTRs of core genes in the JAK/STAT pathway. We used the following target prediction programs - miRanda13, PicTar14, and TargetScan15, as well as a database16. Of the four components – Upd, Domeless (Dome), Hopscotch (hop), and STAT92E examined, only STAT92E and UPD 3’UTRs contain putative miRNA binding sites. The miRNAs predicted to bind the STAT 3’UTR were miR-279, miR-277, miR-280; miR-284, miR-92a; in addition, the Upd 3’ UTR contained one predicted miR-279 binding site. The candidate miRNAs were then overexpressed in S2 cells. Only miR-279 repressed expression of a reporter gene fused to the STAT 3’UTR (Fig. 1a). Overexpression of miR-279 did not repress expression of a mutant STAT 3’UTR reporter gene lacking the miR-279 seed-binding site (Fig. 1b, c). Furthermore, knock-down of endogenous miR-279 using a 2’-O-methyl miR-279 antagomir increased STAT 3’UTR reporter activity in S2 cells, whereas control antagomirs did not (Fig. 1d). Thus, miR-279 directly targeted STAT via its 3’UTR. Although the Upd 3’UTR contained one putative miR-279 site, the Upd 3’UTR reporter did not respond to miR-279 overexpression (Fig. 1e). Thus, miR-279 targets the JAK/STAT signaling pathway by repressing STAT.

To determine whether miR-279 was expressed in the Drosophila egg chamber, we examined transgenic flies containing a transcriptional reporter miR-279-Gal4 and UAS-GFP17. We detected expression in most follicle cells beginning at stage 8 (Fig. 1f–i). However, miR-279 expression was undetectable in polar cells (Fig. 1g, i, k, m) and was somewhat lower and more variable in border cells than in non-migratory anterior follicle cells (Fig. 1f–u).

If miR-279 normally inhibited JAK/STAT signaling, loss-of-function of miR-279 might cause phenotypes similar to gain-of-function of STAT. Consistent with this hypothesis, extra cells invaded in between the nurse cells in egg chambers containing miR-279 mutant clones (Fig. 2b), compared to controls (Fig. 2a), a phenotype also observed following ectopic activation of STAT1,4,10. We then expressed a miR-279 “sponge” (an RNA containing 3 copies of the miR-279 binding site) using miR-279-Gal4, as an alternative method to reduce miR-279 function18, 19. This treatment also resulted in ectopic invasive cells (Fig. 2c). Ectopic cells or clusters were observed in approximately 50% of egg chambers following the induction of clones using three different miR-279 alleles, a phenotype that was ameliorated by the addition of a wild-type miR-279 transgene to the genetic background (Fig. 2g). Ectopic cells or clusters were also observed in 30% of egg chambers expressing two copies of the miR-279 sponge (Fig. 2h). To determine whether the abnormal cells came from dissociation of the original border cell cluster or from abnormal invasion of follicle cells that normally remain within the epithelium, we counted the number of cells in the main cell cluster, which contains the polar cells. In all miR-279 mutant clones, we found that the number of border cells within the main cluster was normal (Fig. 2i).

The level of STAT protein expression in border cells is critical. In fact, in stat/+ heterozygous females border cells fail to complete their migration by stage 10 in 10% of egg chambers1,10. This is highly unusual as most mutations that affect border cells are fully recessive. Over-expression of STAT also impaired border cell migration (Fig. 2d, j), as does STAT hyperactivation1. Similarly, mutation of miR-279 caused frequent border cell migration defects (Fig. 2e), in contrast to wild-type (Fig. 2a). Approximately 50% of border cells mutant for any one of the three alleles, failed to migrate normally, a phenotype that was rescued by the wild-type miR-279 transgene (Fig. 2k). Knock down of miR-279 function by expressing the miR-279 sponge in border cells using slbo-Gal4 similarly resulted in migration defects (Fig. 2f, l). Together these results show that loss of miR-279 mimics both phenotypes associated with STAT gain-of- function1,4,10.

To confirm that STAT is a target of miR-279 in vivo, we assessed nuclear STAT protein levels using an antibody. STAT was enriched ~1.6 fold in miR-279 mutant border cells compared to adjacent wild-type cells in mosaic clusters (Fig. 3a; Supplementary information, Fig. S1). In addition, we measured STAT activity using a reporter construct containing 10 STAT binding sites upstream of GFP (10XSTAT92E-GFP)20. In wild-type stage 10 egg chambers, STAT activity is predominantly localized in border cells (Fig. 3b, c; Supplementary information, Movie S1). Reducing miR-279 function using the miR-279-Gal4 driver to express the miR-279 sponge, dramatically elevated STAT activity in other follicle cells (Fig. 3d, e; Supplementary information, Movie S2), consistent with the relatively high level of miR-279 Gal4 expression in those cells. Taken together, these results demonstrated that miR-279 repressed STAT protein expression and activity in vivo.

To determine the functional significance of STAT as a miR-279 target, we tested for genetic interactions. If the miR-279 phenotypes were primarily caused by excess STAT expression, reducing the level of STAT might ameliorate them. Remarkably, reducing STAT expression using a homozygous hypomorphic, P-element insertion allele (statep3391) rescued the ectopic invasive cell phenotype (Fig. 3f) and the border cell migration defect in miR-279 mutant clones (Fig. 3g) to a similar extent as the wild-type miR-279 transgene. Reducing STAT expression with statep3391/+ suppressed the miR-279 sponge phenotype (Fig. 3h). Overexpression of miR-279 also rescued border cell migration defects caused by overexpression of a STAT cDNA, which contained both the protein coding sequence and the normal 3‘UTR (Fig. 3i). Whereas only 30% of border cells over-expressing STAT completed migration normally, nearly 80% of border cells over-expressing STAT together with miR-279 completed migration. In contrast, over-expression of miR-279 did not rescue the phenotype caused by over-expression of STAT with a mutated 3’UTR in which the miR-279 seed sequence was deleted. In the presence or absence of miR-279, approximately 40% of clusters completed migration normally (Fig. 3i). Taken together, these results indicate that STAT is a functional target of miR-279 in vivo.

A genetic regulatory circuit consisting of STAT, Apt, and Slow Border Cells (SLBO) was previously shown to convert the initially graded Upd/JAK/STAT signal into “on-off” states of STAT activation4,21. Therefore, we decided to investigate how miR-279 was related to the other components of the circuit. Apt functions as a feedback repressor of STAT whereas SLBO amplifies STAT activity by antagonizing Apt function4,21. However, the mechanism by which Apt negatively regulates STAT is unknown.

Since miR-279 causes phenotypes very similar to apt, and Apt is a nuclear protein in follicle cells, we tested whether Apt affects miR-279 expression. In striking contrast to wild-type (Fig. 4a, b), miR-279 expression was undetectable in apt mutant egg chambers (apt167/ aptKG05830) (Fig. 4c, d). We confirmed this result using a miR-279 activity sensor, which expresses GFP under the control of the tubulin promoter and contains six miR-279 binding sites in the 3’UTR, rendering GFP expression sensitive to miR-279. Consistent with loss of miR-279 expression in apt mutant egg chambers, expression of the sensor was elevated in (apt167/ aptKG05830) compared to the wild-type control (Supplementary information, Fig. S2a). A control “sensor” which lacked the critical miR-279 seed sequence showed no difference between wild-type and the apt mutant. (Supplementary information, Fig. S2b). Therefore, Apt is essential for miR-279 expression and activity in follicle cells.

Genetic interactions between apt and miR-279 were consistent with the observation that miR-279 expression was undetectable in apt mutant egg chambers. Knock-down of miR-279 enhanced the extra invasive cell phenotype in females heterozygous for an apt null allele (apt167/+) (Fig. 4e), but did not enhance the extra invasive cell phenotype in homozygous mutants (apt167/ aptKG05830) (Fig. 4e). 75–80% of apt167/ aptKG05830 mutant egg chambers contain extra invasive cells4 (Fig. 4e) compared to 45–50% of miR-279 mutants (Fig. 2g), and STAT expression is elevated three-fold in apt mutant border cells4 compared to 1.6-fold for miR-279 (Fig. 3a). Therefore, although there are likely additional Apt targets, miR-279 is an important one in repressing STAT activity and anterior follicle cell invasion.

Apt is expressed in most follicle cells up to stage 84. During stage 9, Apt is expressed across the anterior field of follicle cells in a broad and shallow gradient (Fig. 4g). However unlike Apt, miR-279 is repressed in cells immediately adjacent to the polar cells, which become border cells (Fig. 4a, b). Therefore we wondered which gene(s) might repress miR-279 in border cells. Ken & Barbie (Ken) is the Drosophila homologue of human BCL6, a BTB/POZ domain-containing transcriptional repressor22. Ken expression is border cell-enriched based on a microarray analysis and in situ hybridization23, which we confirmed using a ken enhancer trap insertion24, 25 (Fig. 4h, i). To test the effect of Ken on miR-279 expression, we crossed the miR-279 reporter into the kenk11035/ ken1 mutant background. In wild-type egg chambers, miR-279-Gal4 expression in border cells was about half of that of anterior non-migratory border cells, whereas in kenk11035/ ken1 mutants, the ratio was close to 1 (Fig. 4j). Over-expression of Ken also decreased mir-279 promoter activity in S2 cells (Supplementary information, Fig. S3). In a microarray analysis, Ken mRNA was significantly upregulated in response to over-expression of Upd in follicle cells (Wang, X. and Montell, D. J., unpublished data), which is also true in eye imaginal discs26. Ken expression is also highest in border cells (Fig. 4h, i), where STAT activity is highest, suggesting ken could be a STAT target. Consistent with this inference, in egg chambers mutant for a temperature-sensitive stat allele (stat397/statts) incubated at the restrictive temperature, Ken expression was reduced in border cells (but not polar cells which have little or no active STAT) compared to control (Fig. 4k–o). Therefore in border cells, ken is a target of STAT.

Together these data suggest a model for the conversion of the graded Upd signal into migratory border cell and stationary epithelial cell fates (Fig. 5a,b). We previously developed a mathematical model and used simulations of the patterning process to show that a gene regulatory circuit consisting of STAT, Apt, and Slbo was sufficient4. However, it was unclear how Apt exerted its effect on STAT. The results presented here suggest that miR-279 is a major target of Apt that directly targets STAT (Fig. 5a, b). We used a set of differential equations to approximate the relative concentration of each component across the field of the epithelium in computer simulations (see methods). Multiple iterations of these computations led to evolving patterns of gene expression, which accurately reproduced the observed patterns of miR-279, STAT, Apt, Ken, and Slbo over time (Fig. 5c–f). In the simulations loss of miR-279, like loss of apt, resulted in failure of the proper pattern of JAK/STAT activity to form (Fig. 5g, h). We note that the deterministic (rather than probabilistic) nature of the model does not permit simulation of incomplete penetrance and thus does not reproduce the difference in penetrance between these two (80% for apt vs. 50% for miR-279).

Interestingly, in simulations, loss of ken still permitted development of “on” and “off” states (Fig. 5i). Experimentally, we also found that loss of ken in mosaic clone analyses did not impede border cell migration, and forced expression of UAS-miR-279 with slbo-Gal4>UAS-miR-279 was similarly benign (not shown). The simulations show that the mutual repression between Slbo and Apt is sufficient to ensure relatively robust patterning, even in the absence of ken. The modeling and genetic results both show that this regulatory circuit is more sensitive to loss than gain of miR-279.

Complex genetic networks are required for a variety of biological phenomena, however their complexity often challenges our intuitive understanding. Mathematical modeling can be useful for probing the behavior of such complex systems27. Here the mathematical model revealed non-obvious features of the morphogen interpretation system. One interesting feature of this system is that non-linear positive auto-regulation of the JAK/STAT pathway is not responsible for creating the threshold response of target gene expression. Even though such auto-regulation can produce threshold responses, and auto-regulation is a property of JAK/STAT signaling, by itself it does not produce the initially graded pattern observed here. The multiple positive and negative feedback loops shown here can produce a more complex response, including a transient response to a low level of morphogen, which is not characteristic of a response dominated by non-linear auto-regulation.

In this work we describe a key role for miR-279 in shaping threshold responses to the Upd morphogen gradient. Apt-mediated expression of miR-279 is critical to repress STAT in anterior follicle cells destined to remain within the epithelium. Since miR-279 provides post-transcriptional control of STAT, it can repress the function of pre-existing mRNA and in principle lead to a swifter and more decisive cellular response than feedback at the level of transcription alone. Thus miRNA-mediated feedback may be particularly important in tissues undergoing rapid development. In addition, this mechanism creates not only a lower level response but also a transient response. In some morphogen systems, the length of time that a cell experiences the signal is important for generating correct cell fates27. Border cells represent such a system. Border cells that express a temperature-sensitive form of STAT and are shifted to the non-permissive temperature part way through their migration, turn on expression of at least one anterior follicle cell marker after 2.5 hours. Therefore a transient STAT signal may specify anterior cell fate even if it first reaches a level high enough to promote border cell fate and migration10. miR-279 is part of the mechanism that terminates STAT signaling and thus specifies anterior follicle cell fate. Another tissue in which sustained versus transient STAT signaling is important is in stem cell fate specification in the Drosophila testis. It will be of interest to determine if miR-279 also contributes to patterning fates in this context as well.

Fly strains and fly genetics

mir-279Δ1.2, mir-279Δ1.9, FRT82B mir-279S096207, mir-279-GAL4, and flies bearing the mir-279 genomic transgene were generously provided by the lab of S. Lawrence Zipursky17. FRT82B mir-279Δ1.2, FRT82B mir-279Δ1.9, and FRT82B mir-279S096207, statep3391 were generated by recombination for this study. stat lines used were: stat397 (ref.1), statep3391 (ref.10), statts (a gift of Charles Dearolf)28, and UAS-STAT29. apt167 was obtained from W. McGinnis30. Kenk11035 was a gift from M. P. Zeidler22. 10XSTAT92E-GFP was a gift from N. Perrimon20. Other Drosophila lines were obtained from the Bloomington Stock Center: P{SUPor-P}aptKG05830, P{PZ}ken1, and P{PZ}ken02970.

Mosaic analysis was performed as follows: mutations on FRT82B chromosomes were crossed to hsFLP; FRT82B UbiGFPnls flies. Flies with the hsFLP/+; FRT82B miR-279 mutant allele (e.g. mir-279Δ1.2) /FRT82B UbiGFPnls genotype were heat shocked for 1 hour three times a day for 2–3 consecutive days, then dissected 7–10 days later. Mutant clones were marked by the loss of GFP. As a control, flies with the hsFPL/+; FRT82B/FRT82B UbiGFPnls genotype were used. Alternatively, the MARCM technique was used to label homozygous mutant cells with GFP, as previously described31. Female flies with the genotype P[hsp70-flp], UAS-mCD8GFP/c306-GAL4; FRT82B GAL80/FRT82B miR-279 mutant allele (e.g. mir-279Δ1.2) were heat shocked as described above. GAL4 drivers used include slbo-Gal4 (ref.32), c306-GAL4 (ref.33), and miR-279-GAL4. These were crossed with UAS transgenes34 at 25°C. Progeny were incubated on fresh food with yeast paste overnight at 31°C prior to ovary dissection. All crosses with statts were carried out at the permissive temperature (18°C), then shifted to non-permissive temperature (29°C) overnight prior to ovary dissection.

Immunohistochemistry and Imaging

Ovaries were dissected in S2 medium (Invitrogen) containing 10% fetal bovine serum, fixed in 4% formaldehyde for 10 minutes at room temperature, and then rinsed three times in phosphate buffered saline with 0.3% Triton X-100. The following primary antibodies from the Developmental Studies Hybridoma Bank (DSHB) were used for immunostaining: mouse anti-Armadillo (1:25), mouse anti-EYA (1:25), mouse anti-Fascillin III (1:10), and mouse anti-β-galactosidase (1:10). Other primary antibodies used were: Rabbit anti-GFP (1:2,000; Molecular Probes), rabbit anti-STAT (1:1,000)4, and rabbit anti-Apontic (1:2,000; a gift of Reinhard Schuh)35. Secondary antibodies conjugated to Alexa-488, Alex-568 were used at 1:400 dilutions (Molecular Probes). The images were obtained using a Zeiss LSM 510-Meta confocal microscope or the ApoTome system on a Zeiss Axioplan 2 microscope. To quantify nuclear protein levels (e.g. STAT, Apt, and LacZ), pixel intensity of each protein was normalized to pixel intensity of DAPI in equivalent regions. To calculate the ratio of nuclear STAT level in miR-279 mutant border cells to that in wild-type border cells, the average of normalized nuclear STAT levels in miR-279 mutant clones or FRT82B clones (control) was divided by the average of normalized nuclear STAT levels in wild-type cells in the same cluster. Pixel intensities of images were quantified using Image J. Statistical significance of differences was assessed using a student t-test. For confocal micrographs of egg chambers expressing the miR-279 sensor or control sensor, we captured all images using identical exposure time, laser gain, and offset.

Transgenic constructs

The UAS-miR-279 construct was generated by cloning a 614 bp fragment, centered around the miR-279 stem-loop precursor, downstream of pUASpDsRed. PCR primers for miR-279 were 5’-GGATCCTGTGTAGAGCTGATAAGAAG-3’ and 5’-TCTAGAGCATTAATTTTCATTTTATTTCGG-3’.

The miR-279 sponge construct was cloned as follows: We phosphorylated, annealed, and cloned 87 bp oligonucleotides containing 3 copies of perfect mir-279 binding site into the 3’UTR of pUASpDsRed. The oligonucleotide sequences were used for miR-279 sponge: miR-279 sponge–F 5’-GATCCATAGCTTAATGAGTGTGGATCTAGTCAGGCTAGCCTTAATGAGTGTGGATCTAGTCACCACAGTGTTAATGAGTGTGGATCTAGTCAT-3’


The miR-279 binding sites are underlined.

For construction of UAS-STAT wt 3’UTR, the STAT coding sequence and its 3‘UTR were amplified by PCR from wild-type ovary cDNA and cloned into pUAST construct. PCR primers used were 5’-GAATTCATGAGCTTGTGGAAGCGC-3’ and 5’-GCGGCCGCCAAACGTAATATGGTCCTCG-3’.

UAS-STAT mut 3’UTR was generated by deletion of miR-279 seed binding site in STAT 3’UTR using the QuickChange Site-Directed Mutagenesis kit (Stratagene). The primers used for site-directed mutagenesis of miR-279 seed sequence in STAT 3’UTR were: 5’-CGCCACATGCGATTGCCTTGCTATTAGAGACACGAGGACC-3’ and 5’-GGTCCTCGTGTCTCTAATAGCAAGGCAATCGCATGTGGCG-3’.

For construction of miR-279 sensor, 161 bp oligonucleotides containing 6 copies of miR-279 binding sites of STAT 3’UTR were cloned into 3’UTR of pCaSpeR-tub-GFP-bam 3’UTR (a gift from Toshie Kai)36 after deletion of bam 3’UTR from the vector.



Control sensor was generated in the same way as the miR-279 sensor using 119 bp oligonucleotides in which all six miR-279 seed binding sites were deleted. The oligonucleotide sequences used were: Control sensor -F: 5’-GGCCGcaCATGCGATTGCCTTAgccaCATGCGATTGCCTTAgccaCATGCGATTGCCTTAgccaCATGCGATTGCCTTAgccaCATGCGATTGCCTTA gccaCATGCGATTGCCTTAgc-3’


Cloned constructs were microinjected into w1118 embryos, and multiple transgenic lines were established.

miRNA target prediction

We made a list of potential STAT 3’UTR-binding miRNAs, including miRNA family members sharing the same seed sequence (such as miR-279 and miR-286) from available target prediction programs (miRanda13, PicTar14, and TargetScan15) and a dataset available at HYPERLINK " HYPERLINK "" " HYPERLINK ""16

Luciferase reporter assays

For validation of miRNAs that target STAT 3’UTR, a 418 bp fragment of the STAT 3’UTR was amplified by PCR from wild-type genomic DNA and cloned downstream of Renilla luciferase in the psiCheck-2 vector (Promega). PCR primers for amplification of the STAT 3’UTR: 5’-CTCGAGTTTAATTCGCGTGCTAAGCC-3’ and 5’-GCGGCCGCGGGGTGTACTTAAGTCTTATAAAA-3’. The predicted miR-279 target site in STAT 3’UTR was mutated using the same oligonucleotides used for construction of UAST STAT mut 3’UTR as described above.

Primer sets used for cloning of other miRNAs were:


PCR fragments containing miRNA precursors were cloned downstream of pUASp-DsRed. For miR-279 promoter reporter gene assay, a 1945 bp fragment of the miR-279 promoter region was amplified by PCR from wild-type genomic DNA, and cloned upstream of firefly luciferase in pGL3 basic (Promega). PCR primers used for miR-279 promoter were:

  • miR-279 promoter-R: 5’-CTCGAGCAGCTCCAGTCCCAATTCC-3’

3’ UTR reporter assay was performed as follows. a combination of 100 ng STAT 3’UTR reporter, 50 ng Act5C-GAL4 and 300 ng UAS-DsRed-miRNA or miRNA sponge constructs was transfected in duplicate into 1×106 S2 cells in 12 well plates. miR-279 promoter reporter gene assay was performed as follows. A combination of 100 ng miR-279 promoter reporter, 50ng pAct-Renilla, 50 ng Act5C-GAL4, and 300 ng pUAST-Ken (a gift of M. P. Zeidler)22 constructs was transfected in duplicate into 1×106 S2 cells in 12 well plates. Two days after transfection, the cells were lysed in passive lysis buffer, and dual luciferase assay was carried out (Promega), and analyzed on a luminometer.

For the 2’-O-methyl antagomir mediated de-silencing assay, a combination of STAT 3’UTR reporter (100 ng), and 10pmol (100nM) of 2’-O-methyl antagomir (2’Ome miR-279: TTAATGAGTGTGGATCTAGTCA; 2’Ome miR-280: TATCATTTCATATGCAACGTAAATACA; 2’Ome miR-iab-4-3p: GTTACGTATACTGAAGGTATACCG) (Dharmaco RNAi Technologies & Integrated DNA Technologies) was transfected in duplicate into 1×106 S2 cells in 12 well plates. Three days after transfection, the cells were lysed in passive lysis buffer, and dual luciferase assays were carried out (Promega), and analyzed on the luminometer.

Relative luciferase activity was obtained by calculating the ratio of Renilla luciferase activity to a firefly luciferase control in 3’UTR reporter assay. Relative luciferase activity indicates the ratio of firefly luciferase activity to a Renilla luciferase control in miR-279 promoter reporter assay.

Mathematical model and computer simulation

In comparison with the earlier model4, the work described in this paper suggested the following modifications: miR-279 (R) is produced under the control of Apt, its synthesis is inhibited by Ken, and miR-279 has an inhibitory influence on JAK/STAT. SLBO is assumed to has an inhibitory influence not only on the production of Apt but also undermines the inhibition of miR-279 on the production rate JAK/STAT (Fig. 6a, b). The model works in the following way: miR-279, produced under JAK/STAT-control via Apt, eventually down-regulates JAK/STAT. Only at high JAK/STAT levels is sufficient SLBO produced that abolishes this JAK/STAT down-regulation, leaving a high JAK/STAT level as required for border cell formation. The all-or nothing behaviour is based on the nonlinearities in the interactions.

The following set of partial differential equations describes the concentration change per time unit of JAK/STAT (J), UDP (U), Apt (A), SLBO (S), miR-279 (R) and Ken (K). Since the actual parameters are unknown, parameters have been chosen such that the observed concentration profiles of the wild-type and of the mutants are reproduced (Supplementary information, Table 1). For the simulation, these equations are re-written as difference equations. Initially, all concentrations are assumed to be zero except of a polar cell activator P, whose concentration remains unchanged. The equations allow computing the concentration change in a small time interval. Adding these changes to the existing concentrations leads to the new concentrations. Repeating such computations leads to the total time course. After ca. 50000 such iterations a stable steady state is reached (corresponding to ca. 360 min of real development).

[Formula ID: FD1]
(Eq. 1) 
[Formula ID: FD2]
(Eq. 2) 
[Formula ID: FD3]
(Eq. 3) 
[Formula ID: FD4]
(Eq. 4) 
[Formula ID: FD5]
(Eq. 5) 
[Formula ID: FD6]
(Eq. 6) 

For the function of the system it is important that the inhibition of JAK/SLBO by miR-279 is linear (aj R in Equation 1) but that the undermining of this inhibition by SLBO is non-linear (kjS2 in Equation 1). This has the consequence that only at high JAK/STAT and thus at high SLBO levels the JAK/STAT production is protected from the miR-279 inhibition, allowing the maintenance of high JAK/STAT levels there. The system is fairly robust to changes in the parameters; examples for this and further details are given in the Supplementary Information.

Supplementary Material 1 Figure S1 Nuclear STAT level increases in miR-279 mutant border cells

(a) Confocal micrographs of stage 10 egg chambers containing homozygous miR-279 mutant border cells (arrow; green) and also stained for STAT (red). Scale bar represents 50 µ. Intensities of STAT and GFP are shown in (b) and (c), respectively.

2 Figure S2 Apt is required for endogenous miR-279 activity

Confocal micrographs of stage 8 egg chambers carrying a miR-279 sensor (tubulin promoter-GFP-6x mir-279 binding sites) (a) or a control sensor (tubulin promoter-GFP-6x seed-deleted miR-279 binding sites) (b) in wild-type and apt mutant background (aptKG05830/apt167). DAPI (blue) labels nuclei, and Armadillo (red) labels membranes enriched in adherens junction proteinss. Scale bar represents 20 µ.

3 Figure S3 Ken is a negative regulator of miR-279 expression in S2 cells

Effect of Ken overexpression on a firefly luciferase reporter driven from the miR-279 promoter in S2 cells. Relative luciferase activity is the ratio of firefly luciferase activity to a Renilla luciferase control. Error bars represent standard deviations, and P value was calculated using a Student’s t test.

4 Click here for additional data file (NIHMS310135-supplement-4.ppt)

5 Click here for additional data file (NIHMS310135-supplement-5.png)

6 Click here for additional data file (NIHMS310135-supplement-6.pdf)


FN1Author contributions

W.H.Y. planned the experimental design, conducted the experiments and analyzed data. H. M developed and tested the mathematical model. D.J.M. conceived of the project, participated in experimental design, discussions of results and interpretations, and wrote the manuscript.


This work was supported by NIH grant GM46425 to D.J.M. W.H.Y. was supported by a fellowship from the Korea Science and Engineering Foundation (KOSEF) and the H.A. and Mary K. Chapman Young Investigator Fellowship. We acknowledge Amanda H. McDonald and Brandon Steiner for technical assistance. We thank Jae Sun Kang for data illustration. We thank Melanie Issigonis for helpful discussion. We thank current and past members of the Denise Montell and Craig Montell labs for helpful discussion and comments. Flybase and the Bloomington Drosophila Stock Center provided critical information and reagents for this study.

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