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      Depletion of T-cell intracellular antigen proteins promotes cell proliferation

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      1 , 1 , 1 ,
      Genome Biology
      BioMed Central

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          Abstract

          The transcriptome of TIA-1/TIAR-depleted cells indicates roles in inflammation, cell-cell signaling, immune suppression, angiogenesis, metabolism and cell proliferation.

          Abstract

          Background

          T-cell intracellular antigen-1 (TIA-1) and TIA-1 related/like protein (TIAR/TIAL1), two DNA/RNA binding proteins broadly expressed in eukaryotic cells, participate in the regulation of gene expression through RNA metabolism. Despite the biological relevance of these regulators, there are no genome-wide studies assessing global transcriptomic and phenotypic impacts after changes in the expression and/or function of these proteins.

          Results

          Using high-throughput gene expression profiling, we found that the TIA-1/TIAR-depleted cell phenotype is linked to a transcriptome involved in the control of inflammation, cell-cell signaling, immune-suppression, angiogenesis, metabolism and cell proliferation. Induced genes included pro-inflammatory cytokines, inflammatory chemokines, growth-stimulating factors and pro-angiogenic inducers. Repressed genes involved the RAS oncogene family member RAB40B, regulators of cytoskeleton organization and biogenesis and a mitochondrial modulator. Consistent with these observations, depletion of TIA proteins in HeLa cells results in increased cell proliferation, altered cell-cycle and anchorage-independent growth. Mechanistically, the changes associated with the steady-state target mRNA levels regulated by TIA proteins are consistent with overlapping effects on gene basal transcription rate and mRNA turnover.

          Conclusions

          Collectively, our findings suggest a role for TIA proteins as cellular sensors that modulate gene expression control at the transcriptional and post-transcriptional levels, coupling cell proliferation responses and metabolic homeostasis to cell survival and growth.

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          Most cited references27

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          Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments.

          One of the main objectives in the analysis of microarray experiments is the identification of genes that are differentially expressed under two experimental conditions. This task is complicated by the noisiness of the data and the large number of genes that are examined simultaneously. Here, we present a novel technique for identifying differentially expressed genes that does not originate from a sophisticated statistical model but rather from an analysis of biological reasoning. The new technique, which is based on calculating rank products (RP) from replicate experiments, is fast and simple. At the same time, it provides a straightforward and statistically stringent way to determine the significance level for each gene and allows for the flexible control of the false-detection rate and familywise error rate in the multiple testing situation of a microarray experiment. We use the RP technique on three biological data sets and show that in each case it performs more reliably and consistently than the non-parametric t-test variant implemented in Tusher et al.'s significance analysis of microarrays (SAM). We also show that the RP results are reliable in highly noisy data. An analysis of the physiological function of the identified genes indicates that the RP approach is powerful for identifying biologically relevant expression changes. In addition, using RP can lead to a sharp reduction in the number of replicate experiments needed to obtain reproducible results.
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            Genetic determinants of cancer metastasis.

            Metastasis can be viewed as an evolutionary process, culminating in the prevalence of rare tumour cells that overcame stringent physiological barriers as they separated from their original environment and developmental fate. This phenomenon brings into focus long-standing questions about the stage at which cancer cells acquire metastatic abilities, the relationship of metastatic cells to their tumour of origin, the basis for metastatic tissue tropism, the nature of metastasis predisposition factors and, importantly, the identity of genes that mediate these processes. With knowledge cemented in decades of research into tumour-initiating events, current experimental and conceptual models are beginning to address the genetic basis for cancer colonization of distant organs.
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              SR proteins function in coupling RNAP II transcription to pre-mRNA splicing.

              Transcription and splicing are functionally coupled, resulting in highly efficient splicing of RNA polymerase II (RNAP II) transcripts. The mechanism involved in this coupling is not known. To identify potential coupling factors, we carried out a comprehensive proteomic analysis of immunopurified human RNAP II, identifying >100 specifically associated proteins. Among these are the SR protein family of splicing factors and all of the components of U1 snRNP, but no other snRNPs or splicing factors. We show that SR proteins function in coupling transcription to splicing and provide evidence that the mechanism involves cotranscriptional recruitment of SR proteins to RNAP II transcripts. We propose that the exclusive association of U1 snRNP/SR proteins with RNAP II positions these splicing factors, which are known to function early in spliceosome assembly, close to the nascent pre-mRNA. Thus, these factors readily out-compete inhibitory hnRNP proteins, resulting in efficient spliceosome assembly on nascent RNAP II transcripts.
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                Author and article information

                Journal
                Genome Biol
                Genome Biology
                BioMed Central
                1465-6906
                1465-6914
                2009
                26 August 2009
                : 10
                : 8
                : R87
                Affiliations
                [1 ]Centro de Biología Molecular 'Severo Ochoa', Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, C/Nicolás Cabrera 1, Lab-107, Cantoblanco DP 28049, Madrid, Spain
                Article
                gb-2009-10-8-r87
                10.1186/gb-2009-10-8-r87
                2745768
                19709424
                698f6f1e-8c5e-4e23-96cc-6a7ffc2524b3
                Copyright © 2009 Reyes et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 July 2009
                : 26 August 2009
                Categories
                Research

                Genetics
                Genetics

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