Down-regulation of CXCR4 by inducible small interfering RNA inhibits breast cancer cell invasion in vitro.RNA interference (RNAi) is a powerful tool for studying gene function. Here, we describe an inducible small interfering RNA expression system that allows a tight control of the specific gene silencing by RNAi. Using this system, we demonstrated the inducible RNAi effect on the gene expression in mammalian cells. We further showed that inducible knockdown of endogenous CXC chemokine receptor-4 (CXCR4) gene expression in breast cancer cells resulted in significant inhibition of breast cancer cell migration in vitro. This system should be useful for both basic researches on gene function and therapeutic applications of RNAi.
Metabolic Control over mTOR-Dependent Diapause-like StateInferring Clonal Composition from Multiple Sections of a Breast CancerHabil Zare, Junfeng Wang, Alex Hu et al.|PLoS Computational Biology|2014 Cancers arise from successive rounds of mutation and selection, generating clonal populations that vary in size, mutational content and drug responsiveness. Ascertaining the clonal composition of a tumor is therefore important both for prognosis and therapy. Mutation counts and frequencies resulting from next-generation sequencing (NGS) potentially reflect a tumor's clonal composition; however, deconvolving NGS data to infer a tumor's clonal structure presents a major challenge. We propose a generative model for NGS data derived from multiple subsections of a single tumor, and we describe an expectation-maximization procedure for estimating the clonal genotypes and relative frequencies using this model. We demonstrate, via simulation, the validity of the approach, and then use our algorithm to assess the clonal composition of a primary breast cancer and associated metastatic lymph node. After dividing the tumor into subsections, we perform exome sequencing for each subsection to assess mutational content, followed by deep sequencing to precisely count normal and variant alleles within each subsection. By quantifying the frequencies of 17 somatic variants, we demonstrate that our algorithm predicts clonal relationships that are both phylogenetically and spatially plausible. Applying this method to larger numbers of tumors should cast light on the clonal evolution of cancers in space and time.
Cloning and structural analysis of cDNA and the gene for mouse transcription factor UBFThe gene and protein structure of the mouse UBF (mUBF), a transcription factor for mouse ribosomal RNA gene, have been determined by cDNA and genomic clones. The unique mUBF gene consists of 21 exons spanning over 13 kb. Two mRNAs coding for mUBF1 and mUBF2 having 765 a.a. and 728 a.a., respectively, are produced by an alternative splicing of exon 8. It specifies 37 amino acids constituting a part of the regions homologous to high mobility group proteins (HMG box 2). A human UBF (hUBF) cDNA obtained by polymerase chain reaction also indicates the presence of two kinds of mRNAs, the shorter form lacking the same region as mUBF2. Comparison of the cDNAs from hUBF and mUBF revealed an unusual conservation of nucleotide sequence in the 3'-terminal non-coding region. We examined the relative amounts of expression of mUBF1 and mUBF2. The eight tissues studied contained both molecular species, although mUBF2 was the predominant form of UBF. The mRNA of mUBF1 was expressed one half of the mUBF2 in quiescent mouse fibroblasts but reached the same amount in growing state.
Functional Interaction between Coactivators CBP/p300, PCAF, and Transcription Factor FKLF2Chao-Zhong Song, Kimberly L. Keller, Ken T. Murata et al.|Journal of Biological Chemistry|2002 The Sp1/KLF family of factors regulates diverse cellular processes, including growth and development. Fetal Krüppel-like factor (FKLF2) is a new member of this family. In this study, we characterized the coactivators involved in FKLF2 transcriptional activation. Our results show that both CBP/p300 and p300/CBP-associated factor (PCAF) enhance FKLF2 transcriptional activity. We demonstrate that the acetyltransferase activity of PCAF but not that of CBP/p300 is required for stimulating FKLF2 transcription activity. We further show that p300 and PCAF act cooperatively in stimulating FKLF2 transcriptional activation. FKLF2 interacts with both CBP and PCAF through specific domains, and CBP and PCAF acetylate FKLF2. Both CBP/p300 and PCAF stimulate FKLF2 DNA binding activity. The integrity of the acetyltransferase domain of PCAF but not that of CBP/p300 is required for stimulating FKLF2 DNA binding activity. These results demonstrate that CBP/p300 and PCAF stimulate FKLF2 transcriptional activity at least by enhancing its DNA binding. The acetyltransferase activities of CBP/p300 and PCAF play a distinct role in stimulating FKLF2 transcription and DNA binding.