Gregory J. Hurteau

Overexpression of the MicroRNA hsa-miR-200c Leads to Reduced Expression of Transcription Factor 8 and Increased Expression of E-Cadherin

MicroRNAs are approximately 22-nucleotide sequences thought to interact with multiple mRNAs resulting in either translational repression or degradation. We previously reported that several microRNAs had variable expression in mammalian cell lines, and we examined one, miR-200c, in more detail. A combination of bioinformatics and quantitative reverse transcription-PCR was used to identify potential targets and revealed that the zinc finger transcription factor transcription factor 8 (TCF8; also termed ZEB1, deltaEF1, Nil-2-alpha) had inversely proportional expression levels to miR-200c. Knockout experiments using anti-microRNA oligonucleotides increased TCF8 levels but with nonspecific effects. Therefore, to investigate target predictions, we overexpressed miR-200c in select cells lines. Ordinarily, the expression level of miR-200c in non-small-cell lung cancer A549 cells is low in contrast to normal human bronchial epithelial cells. Stable overexpression of miR-200c in A549 cells results in a loss of TCF8, an increase in expression of its regulatory target, E-cadherin, and altered cell morphology. In MCF7 (estrogen receptor-positive breast cancer) cells, there is endogenous expression of miR-200c and E-cadherin but TCF8 is absent. Conversely, MDA-MB-231 (estrogen receptor-negative) cells lack detectable miR-200c and E-cadherin (the latter reportedly due to promoter region methylation) but express TCF8. The ectopic expression of miR-200c in this cell line also reduced levels of TCF8, restored E-cadherin expression, and altered cell morphology. Because the down-regulation of E-cadherin is a crucial event in epithelial-to-mesenchymal transition, loss of miR-200c expression could play a significant role in the initiation of an invasive phenotype, and, equally, miR-200c overexpression holds potential for its reversal.

Gene-Environment Interaction Signatures by Quantitative mRNA Profiling in Exfoliated Buccal Mucosal Cells

Exfoliated cytologic specimens from mouth (buccal) epithelium may contain viable cells, permitting assay of gene expression for direct and noninvasive measurement of gene-environment interactions, such as for inhalation (e.g., tobacco smoke) exposures. We determined specific mRNA levels in exfoliated buccal cells collected by cytologic brush, using a recently developed RNA-specific real-time quantitative reverse transcription-PCR strategy. In a pilot study, metabolic activity of exfoliated buccal cells was verified by 3-[4,5-dimethylthiazol-2-yl]-2,5- diphenyltetrazolium assay in vitro. Transcriptional activity was observed, after timed in vivo exposure to mainstream tobacco smoke resulted in induction of CYP1B1 in serially collected buccal samples from the one subject examined. For a set of 11 subjects, mRNA expression of nine genes encoding carcinogen- and oxidant-metabolizing enzymes qualitatively detected in buccal cells was then shown to correlate with that in laser-microdissected lung from the same individuals (χ2 = 52.91, P < 0.001). Finally, quantitative real-time reverse transcription-PCR assays for seven target gene (AhR, CYP1A1, CYP1B1, GSTM1, GSTM3, GSTP1, and GSTT1) and three reference gene [glyceraldehyde-3-phosphate dehydrogenase (GAPDH), β-actin, and 36B4] transcripts were performed on buccal specimens from 42 subjects. In multivariate analyses, gender, tobacco smoke exposure, and other factors were associated with the level of expression of CYP1B1, GSTP1, and other transcripts on a gene-specific basis, but substantial interindividual variability in mRNA expression remained unexplained. Within the power limits of this pilot study, gene expression signature was not clearly predictive of lung cancer case or control status. This noninvasive and quantitative method may be incorporated into high-throughput human applications for probing gene-environment interactions associated with cancer.

Stable expression of miR-200c alone is sufficient to regulate TCF8 (ZEB1) and restore E-cadherin expression.

Regulation of the transcription factor TCF8 (ZEB1) by the microRNA miR-200c and was first identified using a bioinformatic and relative quantitative PCR based approach1. Using stable ectopic expression of miR-200c we then demonstrated loss of TCF8 (ZEB1) mRNA and restoration of its primary regulatory target, E-cadherin2. Recently, other members of the miR-200 ‘family’ and an additional unrelated microRNA, miR-205, have been reported to be essential for the regulation of TCF8 (ZEB1) and restoration of E-cadherin3-5. To investigate, we repeated our initial method(s) and generated individual stable cell-lines, expressing the miR-200 ‘family’ members; miR-200c, miR-200b, miR-141 and the related miR-205. Of these lines, miR-200b produced no mature transcript and miR-205 and miR-141 cells were either morphologically similar to controls or showed some slight changes respectively. However no reduction in TCF8/ZEB1 mRNA or restoration of E-cadherin could be detected in either line. In contrast, cells expressing miR-200c had a significantly altered morphology from mesenchymal to epithelial and restored expression of E-cadherin. These contrasting findings demonstrate that, as transient transfection is in essence an RNAi experiment, results should be treated with caution when investigating microRNAs and that an examination of microRNAs with similar seed regions requires stable ectopic expression to accurately reflect the endogenous mechanism(s).

Potential mRNA degradation targets of hsa-miR-200c, identified using informatics and qRT-PCR.

Using an anchored oligo(dT) based RT-PCR approach we quantified endogenous expression of ten microRNAs in six cell lines. This identified a miRNA, miR-200c, with variable expression, ranging from undetectable in MDA-MB-231 and HT1080 to highly expressed in MCF7. The variable expression provided a model system to investigate endogenous interactions between miRNAs and their computationally predicted targets. As the expression level of the predicted mRNA targets and miR200c in these lines should have an inverse relationship if cleavage or degradation results from the interaction. To select targets for analysis we used Affymetrix expression data and computational prediction programs. Affymetrix data indicated that ~3500 candidate mRNAs, absent in MCF7 and present in MDA-MB-231 or HT1080. These targets were cross-referenced against ~600 computationally predicted miR-200c targets, identifying twenty potential mRNAs. Expression analysis by qRT-PCR of these targets and an additional ten mRNAs (selected using the prediction program ranking alone) revealed four mRNAs, BIN1, TCF8, RND3 and LHFP with an inverse relationship to miR-200c. Of the remainder, the majority did not appear to be degraded (and may be translational targets) or were undetectable in the cell lines examined. Finally, inhibition of miR-200c using an anti-miRNA 2’-0-Methyl oligonucleotide (AMO) resulted in an increase in expression of one of the targets, the transcription factor TCF8. These results indicate that a single miRNA could directly affect the mRNA levels of an important transcription factor, albeit in a manner specific to cell lines. Further investigation is required to confirm this in vivo and determine any translational effects.

Validity of Messenger RNA Expression Analyses of Human Saliva

Purpose: The origins of expression microarray and reverse transcription-PCR (RT-PCR) signals in human saliva were evaluated. Experimental Design: The “RNA” extracts from human saliva samples were treated with vehicle, DNase, or RNase. Two-step amplification and hybridization to Affymetrix 133A cDNA microarrays were then done. Confirmatory RT-PCR experiments used conventionally designed PCR primer pairs for the reference housekeeper transcripts encoding 36B4, β-actin, and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA sequences, which are known to be homologous to genomic DNA pseudogene sequences. Negative controls included the omission of reverse transcriptase (“no-RT”) to detect any DNA-derived signal. Finally, an RNA-specific RT-PCR strategy eliminated confounding signals from contaminating genomic DNA. Results: Microarray experiments revealed that untreated, DNase-treated, and RNase-treated “RNA” extracts from saliva all yielded negligible overall signals. Specific microarray signals for 36B4, β-actin, and GAPDH were low, and were unaffected by RNase. Real-time quantitative RT-PCR reactions using conventional, non–RNA-specific primers on saliva samples yielded PCR products for 36B4, β-actin, and GAPDH; DNase-treated saliva samples did not yield a PCR product, and the “no-RT” and “+RT” conditions yielded similar amounts of PCR product. The RNA-specific RT-PCR strategy, across all conditions, yielded no PCR product from saliva. Conclusions: The combination of (a) a minimal microarray signal, which was unaffected by RNase treatment, (b) the presence of a conventional RT-PCR housekeeper product in both RNase-treated and no-RT saliva samples, (c) the absence of a conventional RT-PCR housekeeper product in DNase-treated conditions, and (d) the absence of a RNA-specific RT-PCR product shows that any microarray or RT-PCR signal in the saliva must arise from genomic DNA, not RNA. Thus, saliva extracts do not support mRNA expression studies.

The 3 prime paradigm of the miR-200 family and other microRNAs

The number of predicted human microRNAs in Sanger miRBase currently stands at over a thousand, with each of these in turn predicted to target numerous mRNAs. However, those microRNAs for which mRNA targets have been evaluated, verified and reported in the literature are still in the minority and the bulk of microRNA/mRNA interactions are yet to be confirmed. Confirmation of microRNA interaction with predicted mRNA targets represents a considerable undertaking, made more complex by potential synergistic effects of multiple microRNAs and the three possible outcomes (translational repression, degradation or a mixture of both). In addition, contrasting results obtained when either stably expressing or transiently transfecting members of the miR-200 family illustrate limitations in the verification methods currently in use. In this article we suggest that instead of allowing computational predictions to drive investigation, it would be desirable, when possible, to systematically evaluate microRNA targets using inducible, stable, ectopic expression. The advantage of stable lines ectopically expressing microRNA(s) is that they allow an analysis of changes to both the proteome and the transcriptome. This would allow verification of targets, improve the design of prediction algorithms and greatly increase our understanding of the outcome of microRNA/mRNA interaction.