MicroRNAs play important roles in animal development, cell differentiation, and metabolism and have been implicated in human cancer. The let-7 microRNA controls the timing of cell cycle exit and terminal differentiation in Caenorhabditis elegans and is poorly expressed or deleted in human lung tumors. Here, we show that let-7 is highly expressed in normal lung tissue, and that inhibiting let-7 function leads to increased cell division in A549 lung cancer cells. Overexpression of let-7 in cancer cell lines alters cell cycle progression and reduces cell division, providing evidence that let-7 functions as a tumor suppressor in lung cells. let-7 was previously shown to regulate the expression of the RAS lung cancer oncogenes, and our work now shows that multiple genes involved in cell cycle and cell division functions are also directly or indirectly repressed by let-7. This work reveals the let-7 microRNA to be a master regulator of cell proliferation pathways. [Cancer Res 2007;67(16):7713-22]

Over the last decade, the introduction of microarray technology has had a profound impact on gene expression research. The publication of studies with dissimilar or altogether contradictory results, obtained using different microarray platforms to analyze identical RNA samples, has raised concerns about the reliability of this technology. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and data analysis issues. Expression data on four titration pools from two distinct reference RNA samples were generated at multiple test sites using a variety of microarray-based and alternative technology platforms. Here we describe the experimental design and probe mapping efforts behind the MAQC project. We show intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed. This study provides a resource that represents an important first step toward establishing a framework for the use of microarrays in clinical and regulatory settings.

Standard controls and best practice guidelines advance acceptance of data from research, preclinical and clinical laboratories by providing a means for evaluating data quality. The External RNA Controls Consortium (ERCC) is developing commonly agreed-upon and tested controls for use in expression assays, a true industry-wide standard control.

We have assessed the utility of RNA titration samples for evaluating microarray platform performance and the impact of different normalization methods on the results obtained. As part of the MicroArray Quality Control project, we investigated the performance of five commercial microarray platforms using two independent RNA samples and two titration mixtures of these samples. Focusing on 12,091 genes common across all platforms, we determined the ability of each platform to detect the correct titration response across the samples. Global deviations from the response predicted by the titration ratios were observed. These differences could be explained by variations in relative amounts of messenger RNA as a fraction of total RNA between the two independent samples. Overall, both the qualitative and quantitative correspondence across platforms was high. In summary, titration samples may be regarded as a valuable tool, not only for assessing microarray platform performance and different analysis methods, but also for determining some underlying biological features of the samples.

Human embryonic stem cells (hESCs) have the potential to differentiate into many adult cell types, and they are being explored as a resource for cell replacement therapies for multiple diseases. In order to optimize in vitro differentiation protocols, it will be necessary to elucidate regulatory mechanisms that contribute to lineage specification. MicroRNAs (miRNAs) are emerging as key regulators of hESC differentiation and embryonic development. In this study, we compare miRNA expression profiles between pluripotent hESCs and definitive endoderm (DE), an early step in the pathway toward the pancreatic lineage. Results from microarray analysis showed that DE can be distinguished by its unique miRNA profile, which consists of 37 significantly down-regulated and 17 up-regulated miRNAs in 2 different cell lines and in the presence/absence of feeder layers. Comparison to other hESC-derived lineages showed that most of the highly up-regulated miRNAs are specific to endoderm in early development. Notably, miR-375, which was previously implicated in regulating development and function of later stages of pancreatic development, is highly and specifically up-regulated during DE formation, suggesting that it may have a distinct role very early in development. Examination of potential mRNA targets showed that TIMM8A is repressed by ectopic miR-375 expression in pluripotent hESCs.