A systems view of mRNP biology

Differential Recruitment of the Splicing Machinery during Transcription Predicts Genome-Wide Patterns of mRNA Splicing

The splicing machinery associates with genes to facilitate efficient cotranscriptional mRNA processing. We have mapped these associations by genome localization analysis to ascertain how splicing is achieved and regulated on a system-wide scale. Our data show that factors important for intron recognition sample nascent mRNAs and are retained specifically at intron-containing genes via RNA-dependent interactions. Spliceosome assembly proceeds cotranscriptionally but completes posttranscriptionally in most cases. Some intron-containing genes were not bound by the spliceosome, including several developmentally regulated genes. On this basis, we predicted and verified regulated splicing and observed a role for nuclear mRNA surveillance in monitoring those events. Finally, we present evidence that cotranscriptional processing events determine the recruitment of specific mRNA export factors. Broadly, our results provide mechanistic insights into the coordinated regulation of transcription, mRNA processing, and nuclear export in executing complex gene expression programs.

eIF4E is a central node of an RNA regulon that governs cellular proliferation

This study demonstrates that the eukaryotic translation initiation factor eIF4E is a critical node in an RNA regulon that impacts nearly every stage of cell cycle progression. Specifically, eIF4E coordinately promotes the messenger RNA (mRNA) export of several genes involved in the cell cycle. A common feature of these mRNAs is a structurally conserved, approximately 50-nucleotide element in the 3' untranslated region denoted as an eIF4E sensitivity element. This element is sufficient for localization of capped mRNAs to eIF4E nuclear bodies, formation of eIF4E-specific ribonucleoproteins in the nucleus, and eIF4E-dependent mRNA export. The roles of eIF4E in translation and mRNA export are distinct, as they rely on different mRNA elements. Furthermore, eIF4E-dependent mRNA export is independent of ongoing RNA or protein synthesis. Unlike the NXF1-mediated export of bulk mRNAs, eIF4E-dependent mRNA export is CRM1 dependent. Finally, the growth-suppressive promyelocytic leukemia protein (PML) inhibits this RNA regulon. These data provide novel perspectives into the proliferative and oncogenic properties of eIF4E.

Unraveling transcription regulatory networks by protein-DNA and protein-protein interaction mapping

Metazoan genomes contain thousands of protein-coding and noncoding RNA genes, most of which are differentially expressed, i.e., at different locations or at different times during development, function, or pathology of the organism. Differential gene expression is achieved in part by the action of regulatory transcription factors (TFs) that bind to cis-regulatory elements that are often located in or near their target genes. Each TF likely regulates many targets in the context of intricate transcription regulatory networks. Up to 10% of a genome may encode TFs, but only a handful of these have been studied in detail. Here, I will discuss the different steps involved in the mapping and analysis of transcription regulatory networks, including the identification of network nodes (TFs and their target sequences) and edges (TF-TF dimers and TF-DNA target interactions), integration with other data types, and network properties and emerging principles that provide insights into differential gene expression.

Gene expression during terminal erythroid differentiation

PURPOSE OF REVIEW

Expression profiling is a powerful technique to sample cell state. This review shows how expression profiling is being applied to the study of erythroid differentiation.

RECENT FINDINGS

Expression-based studies of multipotential hematopoietic progenitor cells has shown that these cells express lineage-restricted genes from multiple lineages at low levels, and that they are in effect 'primed' to develop into all hematopoietic cell types. Expression profiling of oligopotent and committed progenitor cells has further shown that commitment to the erythroid lineage is associated with a progressive decline in the number of expressed genes. Lineage commitment is regulated by lineage-restricted transcription factors, and studies show that the erythroid transcription factor GATA1, in addition to activating a subset of genes, has global repressive effects on gene expression. Terminal erythroid differentiation is associated with further reduction in the number of expressed genes. The erythroid program is defined by those genes that are still expressed, and their high-level expression depends on specific epigenetic modifications, recruitment of transcription factors, and posttranscriptional effects.

SUMMARY

Expression profiling provides the means to identify novel targets for the therapy of erythrocytes disorders, and to obtain insights into the mechanisms of cellular differentiation.

Differential Stability of Thymidylate Synthase 3′-Untranslated Region Polymorphic Variants Regulated by AUF1

A 6-nucleotide insertion (I)/deletion (D) polymorphism in the 3'-untranslated region of the thymidylate synthase gene was shown to influence mRNA stability, but the molecular basis of this effect has not been elucidated. Here, studies of both endogenous and ectopically expressed thymidylate synthase alleles revealed that the mRNA-binding, decay-promoting protein AUF1 has higher affinity for allele D mRNA. AUF1 overexpression preferentially suppressed D allele mRNA levels, whereas AUF1 silencing selectively elevated D allele mRNA levels. Our results illustrate the functional consequences of ribonucleoprotein associations involving a polymorphic RNA sequence and uncover a novel mechanism of action for non-coding RNA polymorphisms.

Genomic localization of RNA binding proteins reveals links between pre-mRNA processing and transcription

Pre-mRNA processing often occurs in coordination with transcription thereby coupling these two key regulatory events. As such, many proteins involved in mRNA processing associate with the transcriptional machinery and are in proximity to DNA. This proximity allows for the mapping of the genomic associations of RNA binding proteins by chromatin immunoprecipitation (ChIP) as a way of determining their sites of action on the encoded mRNA. Here, we used ChIP combined with high-density microarrays to localize on the human genome three functionally distinct RNA binding proteins: the splicing factor polypyrimidine tract binding protein (PTBP1/hnRNP I), the mRNA export factor THO complex subunit 4 (ALY/THOC4), and the 3' end cleavage stimulation factor 64 kDa (CSTF2). We observed interactions at promoters, internal exons, and 3' ends of active genes. PTBP1 had biases toward promoters and often coincided with RNA polymerase II (RNA Pol II). The 3' processing factor, CSTF2, had biases toward 3' ends but was also observed at promoters. The mRNA processing and export factor, ALY, mapped to some exons but predominantly localized to introns and did not coincide with RNA Pol II. Because the RNA binding proteins did not consistently coincide with RNA Pol II, the data support a processing mechanism driven by reorganization of transcription complexes as opposed to a scanning mechanism. In sum, we present the mapping in mammalian cells of RNA binding proteins across a portion of the genome that provides insight into the transcriptional assembly of RNA-protein complexes.

Expression of CD83 is regulated by HuR via a novel cis-active coding region RNA element

Dendritic cells are the most potent of the antigen-presenting cells and are characterized by surface expression of CD83. Here, we show that the coding region of CD83 mRNA contains a novel cis-acting structured RNA element that binds to HuR, a member of the ELAV family of AU-rich element RNA-binding proteins. Transient transfection of mammalian cells demonstrated that this CD83 mRNA-derived element acts as a post-transcriptional regulatory element in cells overexpressing HuR. Notably, binding of HuR to the CD83 post-transcriptional regulatory element did not affect mRNA stability. Using RNA interference, we show that HuR mediated efficient expression of CD83. In particular, HuR was required for cytoplasmic accumulation of CD83 transcripts. Likewise, inhibition of the CRM1 nuclear export pathway by leptomycin B or overexpression of a defective form of the nucleoporin Nup214/CAN diminished cytoplasmic CD83 mRNA levels. In summary, the data presented demonstrate that the HuR-CRM1 axis affects the nucleocytoplasmic translocation of CD83 mRNA under regular physiological conditions.

Genome-wide identification of mRNAs associated with the translational regulator PUMILIO in Drosophila melanogaster

Genome-wide identification of RNAs associated with RNA-binding proteins is crucial for deciphering posttranscriptional regulatory systems. PUMILIO is a member of the evolutionary conserved Puf-family of RNA-binding proteins that repress gene expression posttranscriptionally. We generated transgenic flies expressing affinity-tagged PUMILIO under the control of an ovary-specific promoter, and we purified PUMILIO from whole adult flies and embryos and analyzed associated mRNAs by using DNA microarrays. Distinct sets comprising hundreds of mRNAs were associated with PUMILIO at the two developmental stages. Many of these mRNAs encode functionally related proteins, supporting a model for coordinated regulation of posttranscriptional modules by specific RNA-binding proteins. We identified a characteristic sequence motif in the 3'-untranslated regions of mRNAs associated with PUMILIO, and the sufficiency of this motif for interaction with PUMILIO was confirmed by RNA pull-down experiments with biotinylated synthetic RNAs. The RNA motif strikingly resembles the one previously identified for Puf3p, one of five Saccharomyces cerevisiae Puf proteins; however, proteins encoded by the associated mRNAs in yeast and Drosophila do not appear to be related. The results suggest extensive posttranscriptional regulation by PUMILIO and uncover evolutionary features of this conserved family of RNA-binding proteins.

Metabolic engineering in the -omics era: elucidating and modulating regulatory networks

The importance of regulatory control in metabolic processes is widely acknowledged, and several enquiries (both local and global) are being made in understanding regulation at various levels of the metabolic hierarchy. The wealth of biological information has enabled identifying the individual components (genes, proteins, and metabolites) of a biological system, and we are now in a position to understand the interactions between these components. Since phenotype is the net result of these interactions, it is immensely important to elucidate them not only for an integrated understanding of physiology, but also for practical applications of using biological systems as cell factories. We present some of the recent "-omics" approaches that have expanded our understanding of regulation at the gene, protein, and metabolite level, followed by analysis of the impact of this progress on the advancement of metabolic engineering. Although this review is by no means exhaustive, we attempt to convey our ideology that combining global information from various levels of metabolic hierarchy is absolutely essential in understanding and subsequently predicting the relationship between changes in gene expression and the resulting phenotype. The ultimate aim of this review is to provide metabolic engineers with an overview of recent advances in complementary aspects of regulation at the gene, protein, and metabolite level and those involved in fundamental research with potential hurdles in the path to implementing their discoveries in practical applications.

Presence of WT1 in nuclear messenger RNP particles in the human acute myeloid leukemia cell lines HL60 and K562

The WT1 gene is a key player in acute myeloid leukaemia, in which it is frequently over-expressed. WT1 encodes a multifunctional zinc finger protein transcription factor, which also binds mRNA. Thus increasing evidence suggests that WT1 works both at the DNA and mRNA level, not only in the urogenital system but also in other contexts. Nuclear poly(A)(+) mRNP particles were isolated by oligo(dT) chromatography from the human acute myeloid leukemia cell lines HL60 and K562, and analysed by Western blotting and 2D minigels. MALDI-TOF demonstrated the presence of hnRNP proteins, splice factors, and unexpectedly vimentin in the mRNP fraction. WT1 was also shown to be present in nuclear mRNP particles suggesting that in leukaemia, and by extension in all cancers in which it is involved, WT1 works both at the DNA and mRNA target level.

Systems-level analyses identify extensive coupling among gene expression machines

Here, we develop computational methods to assess and consolidate large, diverse protein interaction data sets, with the objective of identifying proteins involved in the coupling of multicomponent complexes within the yeast gene expression pathway. From among approximately 43 000 total interactions and 2100 proteins, our methods identify known structural complexes, such as the spliceosome and SAGA, and functional modules, such as the DEAD-box helicases, within the interaction network of proteins involved in gene expression. Our process identifies and ranks instances of three distinct, biologically motivated motifs, or patterns of coupling among distinct machineries involved in different subprocesses of gene expression. Our results confirm known coupling among transcription, RNA processing, and export, and predict further coupling with translation and nonsense-mediated decay. We systematically corroborate our analysis with two independent, comprehensive experimental data sets. The methods presented here may be generalized to other biological processes and organisms to generate principled, systems-level network models that provide experimentally testable hypotheses for coupling among biological machines.

Dephosphorylation shows SR proteins the way out

To address the role of the RS domain in shuttling and how it is differentially required for constitutive and alternative splicing, Lin et al. (2005 [in the November 11 issue of Molecular Cell]) employ an elegant somatic complementation system to reveal a novel phosphorylation-dependent mechanism regulating distinct recycling pathways for SR proteins during mRNP maturation.

Profiling condition-specific, genome-wide regulation of mRNA stability in yeast

The steady-state abundance of an mRNA is determined by the balance between transcription and decay. Although regulation of transcription has been well studied both experimentally and computationally, regulation of transcript stability has received little attention. We developed an algorithm, MatrixREDUCE, that discovers the position-specific affinity matrices for unknown RNA-binding factors and infers their condition-specific activities, using only genomic sequence data and steady-state mRNA expression data as input. We identified and computationally characterized the binding sites for six mRNA stability regulators in Saccharomyces cerevisiae, which include two members of the Pumilio-homology domain (Puf) family of RNA-binding proteins, Puf3p and Puf4p. We provide computational and experimental evidence that regulation of mRNA stability by these factors is modulated in response to a variety of environmental stimuli.

Post-transcriptional control of gene expression: a genome-wide perspective

Gene expression is regulated at multiple levels, and cells need to integrate and coordinate different layers of control to implement the information in the genome. Post-transcriptional levels of regulation such as transcript turnover and translational control are an integral part of gene expression and might rival the sophistication and importance of transcriptional control. Microarray-based methods are increasingly used to study not only transcription but also global patterns of transcript decay and translation rates in addition to comprehensively identify targets of RNA-binding proteins. Such large-scale analyses have recently provided supplementary and unique insights into gene expression programs. Integration of several different datasets will ultimately lead to a system-wide understanding of the varied and complex mechanisms for gene expression control.

From birth to death: the complex lives of eukaryotic mRNAs

Recent work indicates that the posttranscriptional control of eukaryotic gene expression is much more elaborate and extensive than previously thought, with essentially every step of messenger RNA (mRNA) metabolism being subject to regulation in an mRNA-specific manner. Thus, a comprehensive understanding of eukaryotic gene expression requires an appreciation for how the lives of mRNAs are influenced by a wide array of diverse regulatory mechanisms.

Tag-based approaches for transcriptome research and genome annotation

With the increasing number of whole genome sequences available, genomic research has shifted toward the annotation of functional elements and transcribed regions. Thus, the related field of transcriptome research requires accurate methods for the profiling of genes that are not biased by known sequence information, and that also allow for the identification of promoter regions. Starting with serial analysis of gene expression (SAGE), methods making use of short sequencing tags have greatly contributed to transcriptome studies. Here we review recent developments in the use of short sequencing tags in expression profiling, gene discovery and genome annotation. These tags are obtained from the 5' end of mRNAs, both terminal ends of mRNAs, or genomic regions. The 5' end-specific tags, with their ability to identify transcripts along with their transcriptional start sites, will be of particular interest for gene network studies and may become one of the most important approaches in systems biology.

Global analysis of Pub1p targets reveals a coordinate control of gene expression through modulation of binding and stability

Regulation of mRNA turnover is an important cellular strategy for posttranscriptional control of gene expression, mediated by the interplay of cis-acting sequences and associated trans-acting factors. Pub1p, an ELAV-like yeast RNA-binding protein with homology to T-cell internal antigen 1 (TIA-1)/TIA-1-related protein (TIAR), is an important modulator of the decay of two known classes of mRNA. Our goal in this study was to determine the range of mRNAs whose stability is dependent on Pub1p, as well as to identify specific transcripts that directly bind to this protein. We have examined global mRNA turnover in isogenic PUB1 and pub1delta strains through gene expression analysis and demonstrate that 573 genes exhibit a significant reduction in half-life in a pub1delta strain. We also examine the binding specificity of Pub1p using affinity purification followed by microarray analysis to comprehensively distinguish between direct and indirect targets and find that Pub1p significantly binds to 368 cellular transcripts. Among the Pub1p-associated mRNAs, 53 transcripts encoding proteins involved in ribosomal biogenesis and cellular metabolism are selectively destabilized in the pub1delta strain. In contrast, genes involved in transporter activity demonstrate association with Pub1p but display no measurable changes in transcript stability. Characterization of two candidate genes, SEC53 and RPS16B, demonstrate that both Pub1p-dependent regulation of stability and Pub1p binding require 3' untranslated regions, which harbor distinct sequence motifs. These results suggest that Pub1p binds to discrete subsets of cellular transcripts and posttranscriptionally regulates their expression at multiple levels.

A genome-wide in situ hybridization map of RNA-binding proteins reveals anatomically restricted expression in the developing mouse brain

Background

In eukaryotic cells, RNA-binding proteins (RBPs) contribute to gene expression by regulating the form, abundance, and stability of both coding and non-coding RNA. In the vertebrate brain, RBPs account for many distinctive features of RNA processing such as activity-dependent transcript localization and localized protein synthesis. Several RBPs with activities that are important for the proper function of adult brain have been identified, but how many RBPs exist and where these genes are expressed in the developing brain is uncharacterized.

Results

Here we describe a comprehensive catalogue of the unique RBPs encoded in the mouse genome and provide an online database of RBP expression in developing brain. We identified 380 putative RBPs in the mouse genome. Using in situ hybridization, we visualized the expression of 323 of these RBP genes in the brains of developing mice at embryonic day 13.5, when critical fate choice decisions are made and at P0, when major structural components of the adult brain are apparent. We demonstrate i) that 16 of the 323 RBPs examined show neural-specific expression at the stages we examined, and ii) that a far larger subset (221) shows regionally restricted expression in the brain. Of the regionally restricted RBPs, we describe one group that is preferentially expressed in the E13.5 ventricular areas and a second group that shows spatially restricted expression in post-mitotic regions of the embryonic brain. Additionally, we find a subset of RBPs that share the same complex pattern of expression, in proliferating regions of the embryonic and postnatal NS and peripheral tissues.

Conclusion

Our data show that, in contrast to their proposed ubiquitous involvement in gene regulation, most RBPs are not uniformly expressed. Here we demonstrate the region-specific expression of RBPs in proliferating vs. post-mitotic brain regions as well as cell-type-specific RBP expression. We identify uncharacterized RBPs that exhibit neural-specific expression as well as novel RBPs that show expression in non-neural tissues. The data presented here and in an online database provide a visual filter for the functional analysis of individual RBPs.

Understanding alternative splicing: towards a cellular code

In violation of the 'one gene, one polypeptide' rule, alternative splicing allows individual genes to produce multiple protein isoforms - thereby playing a central part in generating complex proteomes. Alternative splicing also has a largely hidden function in quantitative gene control, by targeting RNAs for nonsense-mediated decay. Traditional gene-by-gene investigations of alternative splicing mechanisms are now being complemented by global approaches. These promise to reveal details of the nature and operation of cellular codes that are constituted by combinations of regulatory elements in pre-mRNA substrates and by cellular complements of splicing regulators, which together determine regulated splicing pathways.

Crosstalk between RNA metabolic pathways: an RNOMICS approach

Eukaryotic cells contain many different RNA species. Nuclear pre-mRNAs and cytoplasmic mRNAs carry genomic information to the protein synthesis machinery, whereas many stable RNA species have important functional roles. The mature, functional forms of these RNA species are generated by post-transcriptional processing, and evidence has been accumulating that there are functional links between the various processing pathways. This indicates that there are regulatory networks that coordinate different stages of RNA metabolism. This article describes the aims and results, to date, of the European RNOMICS project as an example of an integrated approach to investigate these links.

The interaction between HIF-1 and AP-1 transcription factors in response to low oxygen

Hypoxia-inducible factor-1 (HIF-1) is a critical regulator of the transcriptional response to low oxygen conditions (hypoxia/anoxia) experienced by mammalian cells in both physiological and pathophysiological circumstances. As our understanding of the biology and biochemistry of HIF-1 has grown, it has become apparent that cells adapt to signals generated by low oxygen through a network of stress responsive transcription factors or complexes, which are influenced by HIF-1 activity. This review summarizes our current understanding of the interaction of HIF-1 with AP-1, a classic example of a family of pleiotropic transcription factors that impact on diverse cellular processes and phenotypes, including the adaptation to low oxygen stress. The review focuses on experimental studies involving cultured cells exposed to hypoxia/anoxia, and describes both established and possible interactions between HIF-1 and AP-1 at different levels of cellular organization.

Inflammation dampened by gelatinase A cleavage of monocyte chemoattractant protein-3

Tissue degradation by the matrix metalloproteinase gelatinase A is pivotal to inflammation and metastases. Recognizing the catalytic importance of substrate-binding exosites outside the catalytic domain, we screened for extracellular substrates using the gelatinase A hemopexin domain as bait in the yeast two-hybrid system. Monocyte chemoattractant protein-3 (MCP-3) was identified as a physiological substrate of gelatinase A. Cleaved MCP-3 binds to CC-chemokine receptors-1, -2, and -3, but no longer induces calcium fluxes or promotes chemotaxis, and instead acts as a general chemokine antagonist that dampens inflammation. This suggests that matrix metalloproteinases are both effectors and regulators of the inflammatory response.