Jeoffrey J. Schageman

The imprinted antisense RNA at the igf2r locus overlaps but does not imprint Mas1

The gene encoding the insulin-like growth-factor type-2 receptor (Igf2r) is maternally expressed and imprinted. A CpG island in Igf2r intron 2 that carries a maternal-specific methylation imprint was shown in a transgenic model to be essential for Igf2r imprinting and for the production of an antisense RNA from the paternal allele. We report here that the endogenous region2 is the promoter for this antisense RNA (named Air, for antisense Igf2r RNA) and that the 3′ end lies 107,796 bp distant in an intron of the flanking, but non-imprinted, gene Mas1.

miR-93, miR-98, and miR-197 Regulate Expression of Tumor Suppressor Gene FUS1

FUS1 is a tumor suppressor gene located on human chromosome 3p21, and expression of Fus1 protein is highly regulated at various levels, leading to lost or greatly diminished tumor suppressor function in many lung cancers. Here we show that selected microRNAs (miRNA) interact with the 3′-untranslated region (3′UTR) of FUS1, leading to down-regulation of protein expression. Using computational methods, we first predicted that FUS1 is a target of three miRNAs, miR-93, miR-98, and miR-197, and then showed that exogenous overexpression of these miRNAs inhibited Fus1 protein expression. We then confirmed that the three miRNAs target the 3′UTR region of the FUS1 transcript and that individual deletion of the three miRNA target sites in the FUS1 3′UTR restores the expression level of Fus1 protein. We further found that miR-93 and miR-98 are expressed at higher levels in small-cell lung cancer cell lines (SCLC) than in non–small-cell lung cancer cell lines (NSCLC) and immortalized human bronchial epithelial cells (HBEC), and that miR-197 is expressed at higher levels in both SCLCs and NSCLCs than in HBECs. Finally, we found that elevated miR-93 and miR-197 expression is correlated with reduced Fus1 expression in NSCLC tumor specimens. These results suggest that the three miRNAs are negative regulators of Fus1 expression in lung cancers. (Mol Cancer Res 2009;7(8):1234–43)

All Human Genes of the Uteroglobin Family Are Localized on Chromosome 11q12.2 and Form a Dense Cluster

Abstract: Rabbit uteroglobin is the founder member of a family of mammalian proteins that has expanded to more than 20 members within the last few years. All members are small, secretory, rarely glycosylated dimeric proteins with unclear physiological functions and are mainly expressed in mucosal tissues. A phylogenetic analysis shows that the family can be grouped into five subfamilies, A to E. Subfamily A contains rabbit uteroglobin and its orthologues from various species; most of these have been described to form antiparallel homodimers via two intermolecular disulfide bonds. All other subfamily members contain a third conserved cysteine and, from existing biochemical data, it can be predicted that a member of subfamily B or C will likely form heterodimers with a partner from subfamily E or D, respectively. Besides the mentioned cysteines, only one central lysine is conserved in all family members. In the known uteroglobin structures, this lysine forms an exposed salt bridge with an aspartate side chain, which is conserved in almost all sequences. Using radiation hybrid mapping and P1 clone analysis and utilizing data from the human genome project, we show that all known five human family members (Clara cell 10‐kDa protein, lipophilins A and B, lacryglobin, mammaglobin) and a new member, we call lymphoglobin, are localized on chromosome 11q12.2 in a dense cluster spanning not more than approximately 400 kbp.

MicroRNA expression distinguishes SCLC from NSCLC lung tumor cells and suggests a possible pathological relationship between SCLCs and NSCLCs

BackgroundRecent studies have shown that microRNAs (miRNAs) play roles in tumorigenesis and are reliable classifiers of certain cancer types and subtypes. However, the role of miRNAs in the pathogenesis and diagnosis of small cell carcinoma (SCLC), the majority of which represent the most aggressive lung tumors, has not been investigated.MethodsIn order to explore miRNA involvement in the pathogenesis of small cell lung carcinoma (SCLC) and the potential role of miRNAs in SCLC diagnosis, we compared the miRNA expression profile of a set of SCLC cell lines to that of a set of non-small cell lung cancer (NSCLC) cell lines and normal immortalized human bronchial epithelial cells (HBECs) using microarray analysis.ResultsOur results show that miRNA profiles reliably distinguish SCLC cell lines from NSCLC and HBEC cell lines. Further analysis of the miRNA expression profile of the two subtypes of lung cancer cell lines indicates that the expression levels of the majority of the miRNAs that are differentially expressed in SCLC cells relative to NSCLC cells and HBECs show a progressive trend from HBECs to NSCLC cells to SCLC cells.ConclusionsThe distinctive miRNA expression signature of SCLCs relative to NSCLCs and HBECs suggests that miRNA profiles have the potential to serve as a diagnostic marker of SCLC lung tumors. The progressive trend of miRNA profile changes from HBECs to NSCLCs to SCLCs suggests a possible pathological relationship between SCLCs and NSCLCs, and suggests that the increasing dysregulation of miRNA expression may play a role in lung tumor progression. The specific role of these miRNAs in lung tumor pathogenesis and differentiation need to be investigated further in future studies.

miR-337-3p and Its Targets STAT3 and RAP1A Modulate Taxane Sensitivity in Non-Small Cell Lung Cancers

NSCLC (non-small cell lung cancer) often exhibits resistance to paclitaxel treatment. Identifying the elements regulating paclitaxel response will advance efforts to overcome such resistance in NSCLC therapy. Using in vitro approaches, we demonstrated that over-expression of the microRNA miR-337-3p sensitizes NCI-H1155 cells to paclitaxel, and that miR-337-3p mimic has a general effect on paclitaxel response in NSCLC cell lines, which may provide a novel adjuvant strategy to paclitaxel in the treatment of lung cancer. By combining in vitro and in silico approaches, we identified STAT3 and RAP1A as direct targets that mediate the effect of miR-337-3p on paclitaxel sensitivity. Further investigation showed that miR-337-3p mimic also sensitizes cells to docetaxel, another member of the taxane family, and that STAT3 levels are significantly correlated with taxane resistance in lung cancer cell lines, suggesting that endogenous STAT3 expression is a determinant of intrinsic taxane resistance in lung cancer. The identification of a miR-337-3p as a modulator of cellular response to taxanes, and STAT3 and RAP1A as regulatory targets which mediate that response, defines a novel regulatory pathway modulating paclitaxel sensitivity in lung cancer cells, which may provide novel adjuvant strategies along with paclitaxel in the treatment of lung cancer and may also provide biomarkers for predicting paclitaxel response in NSCLC.

Analysis of the regulation of lin‐41 during chick and mouse limb development

We have cloned the chicken and mouse orthologues of the Caenorhabditis elegans heterochronic gene lin‐41. During limb development, lin‐41 is expressed in three phases over developmental time and most notably is associated with the developing autopod. Using chicken and mouse mutants and bead implantations, we report that lin‐41 is genetically and biochemically downstream of both the Shh and Fgf signaling pathways. In C. elegans, it is proposed that lin‐41 activity is temporally regulated by miRNAs (let‐7 and lin‐4) that bind to complementary sites in the lin‐41 3′‐untranslated region (UTR). Taking a bioinformatics approach, we also report the presence of potential miRNA binding sites in the 3′‐UTR of chicken lin‐41, including sites for the chicken orthologues of both C. elegans let‐7 and lin‐4. Finally, we show that these miRNAs and others are expressed in the chick limb consistent with the hypothesis that they regulate chicken Lin‐41 activity in vivo. Developmental Dynamics 234:948–960, 2005.

Selective identification of secreted and transmembrane breast cancer markers using Escherichia coli ampicillin secretion trap.

Secreted and cell surface proteins play important roles in cancer and are potential drug targets and tumor markers. Here, we describe a large-scale analysis of the genes encoding secreted and cell surface proteins in breast cancer. To identify these genes, we developed a novel signal sequence trap method called Escherichia coli ampicillin secretion trap (CAST). For CAST, we constructed a plasmid in which the signal sequence of beta-lactamase was deleted such that it does not confer ampicillin resistance. Eukaryotic cDNA libraries cloned into pCAST produced tens of thousands of ampicillin-resistant clones, 80% of which contained cDNA fragments encoding secreted and membrane spanning proteins. We identified 2,708 unique sequences from cDNA libraries made from surgical breast cancer specimens. We analyzed the expression of 1,287 of the 2,708 genes and found that 166 were overexpressed in breast cancers relative to normal breast tissues. Eighty-five percent of these genes had not been previously identified as markers of breast cancer. Twenty-three of the 166 genes (14%) were relatively tissue restricted, suggesting use as cancer-specific targets. We also identified several new markers of ovarian cancer. Our results indicate that CAST is a robust, rapid, and low cost method to identify cell surface and secreted proteins and is applicable to a variety of relevant biological questions.

ELXR: a resource for rapid exon-directed sequence analysis.

ELXR (Exon Locator and Extractor for Resequencing) streamlines the process of determining exon/intron boundaries and designing PCR and sequencing primers for high-throughput resequencing of exons. We have pre-computed ELXR primer sets for all exons identified from the human, mouse, and rat mRNA reference sequence (RefSeq) public databases curated by the National Center for Biotechnology Information. The resulting exon-flanking PCR primer pairs have been compiled into a system called ELXRdb, which may be searched by keyword, gene name or RefSeq accession number.