Estradiol-regulated MicroRNAs Control Estradiol Response in Breast Cancer Cells

Estradiol (E2) regulates gene expression at the transcriptional level by functioning as a ligand for estrogen receptor alpha (ERα) and estrogen receptor beta (ERβ). E2-inducible proteins c-Myc and E2Fs are required for optimal ERα activity and secondary estrogen responses, respectively. We show that E2 induces 21 microRNAs and represses seven microRNAs in MCF-7 breast cancer cells; these microRNAs have the potential to control 420 E2-regulated and 757 non-E2-regulated mRNAs at the post-transcriptional level. The serine/threonine kinase, AKT, alters E2-regulated expression of microRNAs. E2 induced the expression of eight Let-7 family members, miR-98 and miR-21 microRNAs; these microRNAs reduced the levels of c-Myc and E2F2 proteins. Dicer, a ribonuclease III enzyme required for microRNA processing, is also an E2-inducible gene. Several E2-regulated microRNA genes are associated with ERα-binding sites or located in the intragenic region of estrogen-regulated genes. We propose that the clinical course of ERα-positive breast cancers is dependent on the balance between E2-regulated tumor-suppressor microRNAs and oncogenic microRNAs. Additionally, our studies reveal a negative-regulatory loop controlling E2 response through microRNAs as well as differences in E2-induced transcriptome and proteome

Estradiol-regulated microRNAs control estradiol response in breast cancer cells.

Estradiol (E2) regulates gene expression at the transcriptional level by functioning as a ligand for estrogen receptor alpha (ERalpha) and estrogen receptor beta (ERbeta). E2-inducible proteins c-Myc and E2Fs are required for optimal ERalpha activity and secondary estrogen responses, respectively. We show that E2 induces 21 microRNAs and represses seven microRNAs in MCF-7 breast cancer cells; these microRNAs have the potential to control 420 E2-regulated and 757 non-E2-regulated mRNAs at the post-transcriptional level. The serine/threonine kinase, AKT, alters E2-regulated expression of microRNAs. E2 induced the expression of eight Let-7 family members, miR-98 and miR-21 microRNAs; these microRNAs reduced the levels of c-Myc and E2F2 proteins. Dicer, a ribonuclease III enzyme required for microRNA processing, is also an E2-inducible gene. Several E2-regulated microRNA genes are associated with ERalpha-binding sites or located in the intragenic region of estrogen-regulated genes. We propose that the clinical course of ERalpha-positive breast cancers is dependent on the balance between E2-regulated tumor-suppressor microRNAs and oncogenic microRNAs. Additionally, our studies reveal a negative-regulatory loop controlling E2 response through microRNAs as well as differences in E2-induced transcriptome and proteome

Interplay between estrogen receptor and AKT in estradiol-induced alternative splicing.

BACKGROUND: Alternative splicing is critical for generating complex proteomes in response to extracellular signals. Nuclear receptors including estrogen receptor alpha (ERα) and their ligands promote alternative splicing. The endogenous targets of ERα:estradiol (E2)-mediated alternative splicing and the influence of extracellular kinases that phosphorylate ERα on E2-induced splicing are unknown. METHODS: MCF-7 and its anti-estrogen derivatives were used for the majority of the assays. CD44 mini gene was used to measure the effect of E2 and AKT on alternative splicing. ExonHit array analysis was performed to identify E2 and AKT-regulated endogenous alternatively spliced apoptosis-related genes. Quantitative reverse transcription polymerase chain reaction was performed to verify alternative splicing. ERα binding to alternatively spliced genes was verified by chromatin immunoprecipitation assay. Bromodeoxyuridine incorporation-ELISA and Annexin V labeling assays were done to measure cell proliferation and apoptosis, respectively. RESULTS: We identified the targets of E2-induced alternative splicing and deconstructed some of the mechanisms surrounding E2-induced splicing by combining splice array with ERα cistrome and gene expression array. E2-induced alternatively spliced genes fall into at least two subgroups: coupled to E2-regulated transcription and ERα binding to the gene without an effect on rate of transcription. Further, AKT, which phosphorylates both ERα and splicing factors, influenced ERα:E2 dependent splicing in a gene-specific manner. Genes that are alternatively spliced include FAS/CD95, FGFR2, and AXIN-1. E2 increased the expression of FGFR2 C1 isoform but reduced C3 isoform at mRNA level. E2-induced alternative splicing of FAS and FGFR2 in MCF-7 cells correlated with resistance to FAS activation-induced apoptosis and response to keratinocyte growth factor (KGF), respectively. Resistance of MCF-7 breast cancer cells to the anti-estrogen tamoxifen was associated with ERα-dependent overexpression of FGFR2, whereas resistance to fulvestrant was associated with ERα-dependent isoform switching, which correlated with altered response to KGF. CONCLUSION: E2 may partly alter cellular proteome through alternative splicing uncoupled to its effects on transcription initiation and aberration in E2-induced alternative splicing events may influence response to anti-estrogens.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Strain-Specific Virolysis Patterns of Human Noroviruses in Response to Alcohols.

Alcohol-based hand sanitizers are widely used to disinfect hands to prevent the spread of pathogens including noroviruses. Alcohols inactivate norovirus by destruction of the viral capsid, resulting in the leakage of viral RNA (virolysis). Since conflicting results have been reported on the susceptibility of human noroviruses against alcohols, we exposed a panel of 30 human norovirus strains (14 GI and 16 GII strains) to different concentrations (50%, 70%, 90%) of ethanol and isopropanol and tested the viral RNA titer by RT-qPCR. Viral RNA titers of 10 (71.4%), 14 (100%), 3 (21.4%) and 7 (50%) of the 14 GI strains were reduced by > 1 log10 RNA copies/ml after exposure to 70% and 90% ethanol, and 70% and 90% isopropanol, respectively. RNA titers of 6 of the 7 non-GII 4 strains remained unaffected after alcohol exposure. Compared to GII strains, GI strains were more susceptible to ethanol than to isopropanol. At 90%, both alcohols reduced RNA titers of 8 of the 9 GII.4 strains by ≥ 1 log10 RNA copies/ml. After exposure to 70% ethanol, RNA titers of GII.4 Den Haag and Sydney strains decreased by ≥ 1.9 log10, whereas RNA reductions for GII.4 New Orleans strains were < 0.5 log10. To explain these differences, we sequenced the complete capsid gene of the 9 GII.4 strains and identified 17 amino acid substitutions in the P2 region among the 3 GII.4 variant viruses. When comparing with an additional set of 200 GII.4 VP1 sequences, only S310 and P396 were present in all GII.4 New Orleans viruses but not in the ethanol-sensitive GII.4 Sydney and GII.4 Den Haag viruses Our data demonstrate that alcohol susceptibility patterns between different norovirus genotypes vary widely and that virolysis data for a single strain or genotype are not representative for all noroviruses

Virolysis patterns of GI.1, GI.3b and GI.6 norovirus strains after exposure to ethanol (E) and isopropyl alcohol (I) at 3 different concentrations (50%, 70%, and 90%).

<p>3 GI.1, 4 GI.3b and 4 GI.4 strains with three replicate per each were consolidated by genotype and were expressed as a box plot. The upper, lower ends of the box and the horizontal line in the box indicate the first (Q1), third quantiles (Q3) and median value of all data, respectively. The lower and higher ends of whiskers indicate the minimum and maximum value of all data, respectively. Isolated data points are outliers.</p

Virolysis patterns of GII norovirus strains after exposure to ethanol and isopropanol.

<p>Virolysis patterns of GII norovirus strains after exposure to ethanol and isopropanol.</p

P2 subdomain (amino acids (aa) 279–405) sequence alignment of GII.4 Den Haag, GII.4 New Orleans, and GII.4 Sydney viruses.

<p>Key amino acid changes, S310N, andN341D, and P396H are indicated with black boxes.</p

Virolysis patterns of GII.4 variants including GII.4 Den Haag, GII.4 New Orleans and GII.4 Sydney viruses after exposure to ethanol (E) and isopropyl alcohol (I) at 3 different concentrations (50%, 70%, and 90%).

<p>2 GII.4 Den Haag, 3 GII.4 New Orleans and 4 GII.4 Sydney strains with three replicates were consolidated by genotype and were expressed as a box plot. The upper, lower ends of the box and the horizontal line in the box indicate the first (Q1), third quantiles (Q3) and median value of all data, respectively. The lower and higher ends of whiskers indicate the minimum and maximum value of all data, respectively. Isolated points are outliers.</p

Mapping of amino acid (aa) sequence variations between strains on the P domain of capsid protein VP1.

<p><b>(A)</b> Cartoon representation of the P domain of capsid protein VP1 dimer (side view) (PDB ID: 3SLD). The P1 (aa 225–278 and 406–519) and P2 (aa 279–405) subdomains are colored in green and yellow, respectively. Side chains of key aa are shown, with N310, H396 and D341 presented as spheres. The residues in the opposing subunit of the dimer are labeled ′. <b>(B)</b> Top view of the P-domain dimer. The two subunits are shown in yellow and light yellow, respectively. Amino acids are labeled as in (A).</p