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1.
J Allergy Clin Immunol ; 147(5): 1602-1618, 2021 05.
Article in English | MEDLINE | ID: mdl-33609625

ABSTRACT

The epigenome is at the interface between environmental factors and the genome, regulating gene transcription, DNA repair, and replication. Epigenetic modifications play a crucial role in establishing and maintaining cell identity and are especially crucial for neurology, musculoskeletal integrity, and the function of the immune system. Mutations in genes encoding for the components of the epigenetic machinery lead to the development of distinct disorders, especially involving the central nervous system and host defense. In this review, we focus on the role of epigenetic modifications for the function of the immune system. By studying the immune phenotype of patients with monogenic mutations in components of the epigenetic machinery (inborn errors of epigenetic regulators), we demonstrate the importance of DNA methylation, histone modifications, chromatin remodeling, noncoding RNAs, and mRNA processing for immunity. Moreover, we give a short overview on therapeutic strategies targeting the epigenome.


Subject(s)
Epigenesis, Genetic , Genetic Diseases, Inborn/genetics , Genetic Diseases, Inborn/immunology , Immune System Diseases/genetics , Animals , Chromatin/metabolism , DNA Methylation , Histones/metabolism , Humans , Immune System Diseases/drug therapy , Mutation , RNA/immunology
2.
Biochim Biophys Acta Gene Regul Mech ; 1864(2): 194604, 2021 02.
Article in English | MEDLINE | ID: mdl-32673655

ABSTRACT

Transcription initiation constitutes a major checkpoint in gene regulation across all living organisms. Control of chromatin function is tightly linked to this checkpoint, which is best illustrated by the SAGA coactivator. This evolutionary conserved complex of 18-20 subunits was first discovered as a Gcn5p-containing histone acetyltransferase, but it also integrates a histone H2B deubiquitinase. The SAGA subunits are organized in a modular fashion around its central core. Strikingly, this central module of SAGA shares a number of proteins with the central core of the basal transcription factor TFIID. In this review I will compare the SAGA and TFIID complexes with respect to their shared subunits, structural organization, enzymatic activities and chromatin binding. I will place a special emphasis on the ancestry of SAGA and TFIID subunits, which suggests that these complexes evolved to control the activity of TBP (TATA-binding protein) in directing the assembly of transcription initiation complexes.


Subject(s)
Chromatin/metabolism , TATA-Box Binding Protein/metabolism , Trans-Activators/metabolism , Transcription Factor TFIID/metabolism , Transcription Initiation, Genetic , Animals , Base Sequence/genetics , Conserved Sequence/genetics , Cryoelectron Microscopy , Drosophila Proteins/genetics , Drosophila Proteins/metabolism , Drosophila Proteins/ultrastructure , Evolution, Molecular , Models, Animal , Promoter Regions, Genetic/genetics , Protein Subunits/genetics , Protein Subunits/metabolism , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae Proteins/ultrastructure , TATA-Binding Protein Associated Factors/metabolism , Trans-Activators/genetics , Trans-Activators/ultrastructure , Transcription Factor TFIID/genetics , Transcription Factor TFIID/ultrastructure , WD40 Repeats/genetics
3.
RNA Biol ; 17(1): 62-74, 2020 01.
Article in English | MEDLINE | ID: mdl-31559909

ABSTRACT

Neuronal microexons represent the most highly conserved class of alternative splicing events and their timed expression shapes neuronal biology, including neuronal commitment and differentiation. The six-nt microexon 34' is included in the neuronal form of TAF1 mRNA, which encodes the largest subunit of the basal transcription factor TFIID. In this study, we investigate the tissue distribution of TAF1-34' mRNA and protein and the mechanism responsible for its neuronal-specific splicing. Using isoform-specific RNA probes and antibodies, we observe that canonical TAF1 and TAF1-34' have different distributions in the brain, which distinguish proliferating from post-mitotic neurons. Knockdown and ectopic expression experiments demonstrate that the neuronal-specific splicing factor SRRM4/nSR100 promotes the inclusion of microexon 34' into TAF1 mRNA, through the recognition of UGC sequences in the poly-pyrimidine tract upstream of the regulated microexon. These results show that SRRM4 regulates temporal and spatial expression of alternative TAF1 mRNAs to generate a neuronal-specific TFIID complex.


Subject(s)
Exons , Gene Expression Regulation , Histone Acetyltransferases/genetics , Nerve Tissue Proteins/metabolism , Neurons/metabolism , RNA Splicing , RNA, Messenger/genetics , TATA-Binding Protein Associated Factors/genetics , Transcription Factor TFIID/genetics , Animals , Brain/metabolism , Cell Differentiation , Immunohistochemistry , Mice , Neurogenesis/genetics , Neurons/cytology
4.
Trends Cell Biol ; 29(9): 752-763, 2019 09.
Article in English | MEDLINE | ID: mdl-31300188

ABSTRACT

Basal transcription factor TFIID connects transcription activation to the assembly of the RNA polymerase II preinitiation complex at the core promoter of genes. The mechanistic understanding of TFIID function and dynamics has been limited by the lack of high-resolution structures of the holo-TFIID complex. Recent cryo-electron microscopy studies of yeast and human TFIID complexes provide insight into the molecular organization and structural dynamics of this highly conserved transcription factor. Here, we discuss how these TFIID structures provide new paradigms for: (i) the dynamic recruitment of TFIID; (ii) the binding of TATA-binding protein (TBP) to promoter DNA; (iii) the multivalency of TFIID interactions with (co)activators, nucleosomes, or promoter DNA; and (iv) the opportunities for regulation of TBP turnover and promoter dynamics.


Subject(s)
DNA/chemistry , Promoter Regions, Genetic , Protein Conformation , Transcription Factor TFIID/chemistry , Cryoelectron Microscopy , DNA/ultrastructure , Humans , Models, Molecular , Schizosaccharomyces/chemistry , TATA-Box Binding Protein/metabolism , Transcription Factor TFIID/ultrastructure , Transcriptional Activation
5.
Mol Cell ; 72(1): 10-17, 2018 10 04.
Article in English | MEDLINE | ID: mdl-30290147

ABSTRACT

Transcript buffering involves reciprocal adjustments between overall rates in mRNA synthesis and degradation to maintain similar cellular concentrations of mRNAs. This phenomenon was first discovered in yeast and encompasses coordination between the nuclear and cytoplasmic compartments. Transcript buffering was revealed by novel methods for pulse labeling of RNA to determine in vivo synthesis and degradation rates. In this Perspective, we discuss the current knowledge of transcript buffering. Emphasis is placed on the future challenges to determine the nature and directionality of the buffering signals, the generality of transcript buffering beyond yeast, and the molecular mechanisms responsible for this balancing.


Subject(s)
RNA Stability/genetics , RNA, Messenger/biosynthesis , Transcription, Genetic , Cell Nucleus/genetics , Cytoplasm/genetics , RNA Caps/genetics , RNA, Messenger/genetics , Saccharomyces cerevisiae/genetics
6.
Transcription ; 9(2): 67-74, 2018.
Article in English | MEDLINE | ID: mdl-28976802

ABSTRACT

Sma and Mad related (SMAD)-mediated Transforming Growth Factor ß (TGF-ß) and Bone Morphogenetic Protein (BMP) signaling is required for various cellular processes. The activated heterotrimeric SMAD protein complexes associate with nuclear proteins such as the histone acetyltransferases p300, PCAF and the Mixed Lineage Leukemia 4 (MLL4) subunit Pax Transactivation domain-Interacting Protein (PTIP) to regulate gene transcription. We investigated the functional role of PTIP and PTIP Interacting protein 1 (PA1) in relation to TGF-ß-activated SMAD signaling. We immunoprecipitated PTIP and PA1 with all SMAD family members to identify the TGF-ß and not BMP-specific SMADs as interacting proteins. Gene silencing experiments of MLL4 and the subunits PA1 and PTIP confirm TGF-ß-specific genes to be regulated by the MLL4 complex, which links TGF-ß signaling to transcription regulation by the MLL4 methyltransferase complex.


Subject(s)
DNA-Binding Proteins/metabolism , Transcriptional Activation , Transforming Growth Factor beta/metabolism , Carrier Proteins/genetics , Carrier Proteins/metabolism , Cell Cycle Proteins , DNA-Binding Proteins/genetics , Gene Silencing , HEK293 Cells , Histone-Lysine N-Methyltransferase , Humans , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Protein Interaction Maps , Signal Transduction , Smad Proteins/metabolism , Transforming Growth Factor beta/genetics
7.
Pancreatology ; 17(5): 766-772, 2017.
Article in English | MEDLINE | ID: mdl-28811081

ABSTRACT

BACKGROUND: The prognostic value of WHO grade in pancreatic neuroendocrine tumors (PanNETs) in patients with Multiple Endocrine Neoplasia Type 1 (MEN1) is unknown. METHODS: We performed a cohort study using the Dutch National MEN1 database, which includes >90% of the Dutch MEN1 population with data collected between 1990 and 2014. Formalin-fixed paraffin embedded tissue blocks from the largest resected PanNET per patient were collected. MIB1 staining was performed and KI67 labeling index (LI) was determined by manual eye-counting under a microscope and by digital image analysis. Mitotic count was evaluated from hematoxylin & eosin stains. Association between WHO grade and (time until) development of liver metastases was calculated. RESULTS: Sixty-nine MEN1 patients who underwent pancreatic surgery were included. Ten patients (14%) developed liver metastases and all had PanNETs ≥3 cm. WHO G1, G2 and G3 PanNETs were seen in 83% (n = 57), 16% (n = 11) and 1% (n = 1) respectively. In non-functioning PanNETs >2 cm, liver metastases occurred in 80% of WHO G2 PanNETs (4/5) compared to 23% (5/22) in WHO G1 PanNETs (p = 0.03) when WHO grade was based on mitotic count only. This significant association was not seen for WHO grade based on Ki67 LI. After five years, liver metastases in non-functioning PanNETs were not seen in tumors ≤2 cm, in 10% of the large WHO G1 (according to mitotic count only) tumors and in 60% of large WHO G2 tumors (p-value 0.000). CONCLUSION: High mitotic count is correlated with poor prognosis in MEN1 patients with large non-functioning PanNETs.


Subject(s)
Multiple Endocrine Neoplasia Type 1/classification , Pancreatic Neoplasms/classification , World Health Organization , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Multiple Endocrine Neoplasia Type 1/epidemiology , Multiple Endocrine Neoplasia Type 1/surgery , Netherlands/epidemiology , Pancreatic Neoplasms/epidemiology , Pancreatic Neoplasms/surgery , Prognosis
8.
Cell ; 161(4): 724-36, 2015 May 07.
Article in English | MEDLINE | ID: mdl-25957681

ABSTRACT

Histone proteins compact and stabilize the genomes of Eukarya and Archaea. By forming nucleosome(-like) structures they restrict access of DNA-binding transcription regulators to cis-regulatory DNA elements. Dynamic competition between histones and transcription factors is facilitated by different classes of proteins including ATP-dependent remodeling enzymes that control assembly, access, and editing of chromatin. Here, we summarize the knowledge on dynamics underlying transcriptional regulation across the domains of life with a focus on ATP-dependent enzymes in chromatin structure or in TATA-binding protein activity. These insights suggest directions for future studies on the evolution of transcription regulation and chromatin dynamics.


Subject(s)
Chromatin Assembly and Disassembly , Eukaryota/classification , Eukaryota/genetics , Transcription, Genetic , Archaea/classification , Archaea/genetics , Archaea/metabolism , Eukaryota/metabolism , Gene Expression Regulation , Phylogeny , RNA Polymerase II/metabolism , Transcription Factors/metabolism
9.
Nucleic Acids Res ; 43(1): 143-52, 2015 Jan.
Article in English | MEDLINE | ID: mdl-25432956

ABSTRACT

The activity and dynamic nature of TATA-binding protein (TBP) crucial to RNA polymerase II-mediated transcription is under control of the Mot1p and NC2 complexes. Here we show that both TBP regulatory factors play 'hidden' roles in ensuring transcription fidelity by restricting anti-sense non-coding RNA (ncRNA) synthesis. Production of anti-sense ncRNA transcripts is suppressed by Mot1p- and NC2-mediated release of TBP from binding sites at the 3'-end of genes. In this, Mot1p and NC2 collaborate with the Nrd1p-Nab3p-Sen1p (NNS) complex that terminates the synthesis of anti-sense ncRNAs. In several cases anti-sense ncRNA expression interferes with expression of the cognate sense transcript. Our data reveal a novel regulatory mechanism to suppress anti-sense ncRNA expression and pre-initiation complex (PIC) formation at spurious sites.


Subject(s)
Adenosine Triphosphatases/metabolism , Gene Expression Regulation, Fungal , Phosphoproteins/metabolism , RNA, Antisense/biosynthesis , Saccharomyces cerevisiae Proteins/metabolism , TATA-Binding Protein Associated Factors/metabolism , TATA-Box Binding Protein/metabolism , Transcription Factors/metabolism , Transcription, Genetic , 3' Flanking Region , Chromatin/metabolism , Promoter Regions, Genetic , RNA, Untranslated/biosynthesis , RNA-Binding Proteins/genetics , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/growth & development , Saccharomyces cerevisiae/metabolism , Saccharomyces cerevisiae Proteins/genetics
10.
Nucleic Acids Res ; 42(7): 4220-9, 2014 Apr.
Article in English | MEDLINE | ID: mdl-24459134

ABSTRACT

Chromatin structure in transcribed regions poses a barrier for intragenic transcription. In a comprehensive study of the yeast chromatin remodelers and the Mot1p-NC2 regulators of TATA-binding protein (TBP), we detected synthetic genetic interactions indicative of suppression of intragenic transcription. Conditional depletion of Mot1p or NC2 in absence of the ISW1 remodeler, but not in the absence of other chromatin remodelers, activated the cryptic FLO8 promoter. Likewise, conditional depletion of Mot1p or NC2 in deletion backgrounds of the H3K36 methyltransferase Set2p or the Asf1p-Rtt106p histone H3-H4 chaperones, important factors involved in maintaining a repressive chromatin environment, resulted in increased intragenic FLO8 transcripts. Activity of the cryptic FLO8 promoter is associated with reduced H3 levels, increased TBP binding and tri-methylation of H3K4 and is independent of Spt-Ada-Gcn5-acetyltransferase function. These data reveal cooperation of negative regulation of TBP with specific chromatin regulators to inhibit intragenic transcription.


Subject(s)
Adenosine Triphosphatases/physiology , Gene Expression Regulation, Fungal , Phosphoproteins/physiology , Saccharomyces cerevisiae Proteins/physiology , TATA-Binding Protein Associated Factors/physiology , TATA-Box Binding Protein/metabolism , Transcription Factors/physiology , Transcription, Genetic , Adenosine Triphosphatases/genetics , Alleles , Chromatin/metabolism , DNA-Binding Proteins/metabolism , Nuclear Proteins/biosynthesis , Nuclear Proteins/genetics , Phosphoproteins/genetics , Promoter Regions, Genetic , Repressor Proteins/metabolism , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Saccharomyces cerevisiae Proteins/biosynthesis , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae Proteins/metabolism , TATA-Binding Protein Associated Factors/genetics , Trans-Activators/biosynthesis , Trans-Activators/genetics , Trans-Activators/metabolism , Transcription Factors/genetics
11.
J Biomol Screen ; 19(2): 287-96, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24334265

ABSTRACT

Posttranslational modifications of histones play an important role in the regulation of gene expression and chromatin structure in eukaryotes. The balance between chromatin factors depositing (writers) and removing (erasers) histone marks regulates the steady-state levels of chromatin modifications. Here we describe a novel microscopy-based screening method to identify proteins that regulate histone modification levels in a high-throughput fashion. We named our method CROSS, for Chromatin Regulation Ontology SiRNA Screening. CROSS is based on an siRNA library targeting the expression of 529 proteins involved in chromatin regulation. As a proof of principle, we used CROSS to identify chromatin factors involved in histone H3 methylation on either lysine-4 or lysine-27. Furthermore, we show that CROSS can be used to identify chromatin factors that affect growth in cancer cell lines. Taken together, CROSS is a powerful method to identify the writers and erasers of novel and known chromatin marks and facilitates the identification of drugs targeting epigenetic modifications.


Subject(s)
High-Throughput Screening Assays , Histones/genetics , Microscopy , Proteins/isolation & purification , Cell Line , Chromatin/genetics , Epigenesis, Genetic , Histones/metabolism , Humans , Lysine/genetics , Methylation , Protein Binding , Protein Processing, Post-Translational , Proteins/genetics
12.
PLoS One ; 8(7): e70035, 2013.
Article in English | MEDLINE | ID: mdl-23894581

ABSTRACT

The SGF29 protein binds to tri-methylated lysine-4 of histone H3 (H3K4me3), which is a histone modification associated with active promoters. Human SGF29 is a subunit of the histone acetyltransferase module of the SAGA (Spt-Ada-Gcn5 acetyltransferase) and ATAC (Ada-Two-A-containing 2A) co-activator complexes. Previous work revealed that the SAGA complex is recruited to endoplasmic reticulum (ER) stress target genes and required for their induction. Here, we report the involvement of SGF29 in the survival of human cells from ER stress. SGF29 knockdown results in impaired transcription of the ER stress genes GRP78 and CHOP. Besides histone H3K14 acetylation, we find that SGF29 is also required for the maintenance of H3K4me3 at these genes, which is already present prior to ER stress. Reduced levels of H3K4me3 in the absence of SGF29 correlate with a decreased association of ASH2L, which is a core component of the SET1/MLL complexes, to GFP78 and CHOP. In conclusion, our results suggest that the H3K4me3-binding protein SGF29 plays a central and dual role in the ER stress response. Prior to ER stress, the protein coordinates H3K4me3 levels, thereby maintaining a 'poised' chromatin state on ER stress target gene promoters. Following ER stress induction, SGF29 is required for increased H3K14 acetylation on these genes, which then results in full transcriptional activation, thereby promoting cell survival.


Subject(s)
Acetyltransferases/metabolism , Endoplasmic Reticulum Stress/physiology , Histones/metabolism , Acetylation , Acetyltransferases/biosynthesis , Acetyltransferases/genetics , Bone Neoplasms/genetics , Bone Neoplasms/metabolism , Bone Neoplasms/pathology , Cell Line, Tumor , Cell Survival/physiology , Endoplasmic Reticulum Chaperone BiP , Endoplasmic Reticulum Stress/genetics , Gene Knockdown Techniques , Humans , Lysine/metabolism , Methylation , Osteosarcoma/genetics , Osteosarcoma/metabolism , Osteosarcoma/pathology , Promoter Regions, Genetic , Transcription Factor CHOP/biosynthesis , Transcription Factor CHOP/genetics , Transcription Factor CHOP/metabolism , Transcription, Genetic
13.
J Proteomics ; 88: 14-26, 2013 Aug 02.
Article in English | MEDLINE | ID: mdl-23085607

ABSTRACT

Several quantitative mass spectrometry based technologies have recently evolved to interrogate the complexity, interconnectivity and dynamic nature of proteomes. Currently, the most popular methods use either metabolic or chemical isotope labeling with MS based quantification or chemical labeling using isobaric tags with MS/MS based quantification. Here, we assess the performance of three of the most popular approaches through systematic independent large scale quantitative proteomics experiments, comparing SILAC, dimethyl and TMT labeling strategies. Although all three methods have their strengths and weaknesses, our data indicate that all three can reach a similar depth in number of identified proteins using a classical (MS2 based) shotgun approach. TMT quantification using only MS2 is heavily affected by co-isolation leading to compromised precision and accuracy. This issue may be partly resolved by using an MS3 based acquisition; however, at the cost of a significant reduction in number of proteins quantified. Interestingly, SILAC and chemical labeling with MS based quantification produce almost indistinguishable results, independent of which database search algorithm used.


Subject(s)
Algorithms , Databases, Protein , Isotope Labeling/methods , Proteome/metabolism , Proteomics/methods , HeLa Cells , Humans , Mass Spectrometry/methods
14.
PLoS Comput Biol ; 8(11): e1002754, 2012.
Article in English | MEDLINE | ID: mdl-23133359

ABSTRACT

Ubiquitination relies on a subtle balance between selectivity and promiscuity achieved through specific interactions between ubiquitin-conjugating enzymes (E2s) and ubiquitin ligases (E3s). Here, we report how a single aspartic to glutamic acid substitution acts as a dynamic switch to tip the selectivity balance of human E2s for interaction toward E3 RING-finger domains. By combining molecular dynamic simulations, experimental yeast-two-hybrid screen of E2-E3 (RING) interactions and mutagenesis, we reveal how the dynamics of an internal salt-bridge network at the rim of the E2-E3 interaction surface controls the balance between an "open", binding competent, and a "closed", binding incompetent state. The molecular dynamic simulations shed light on the fine mechanism of this molecular switch and allowed us to identify its components, namely an aspartate/glutamate pair, a lysine acting as the central switch and a remote aspartate. Perturbations of single residues in this network, both inside and outside the interaction surface, are sufficient to switch the global E2 interaction selectivity as demonstrated experimentally. Taken together, our results indicate a new mechanism to control E2-E3 interaction selectivity at an atomic level, highlighting how minimal changes in amino acid side-chain affecting the dynamics of intramolecular salt-bridges can be crucial for protein-protein interactions. These findings indicate that the widely accepted sequence-structure-function paradigm should be extended to sequence-structure-dynamics-function relationship and open new possibilities for control and fine-tuning of protein interaction selectivity.


Subject(s)
Aspartic Acid/metabolism , Glutamic Acid/metabolism , Ubiquitin-Conjugating Enzymes/metabolism , Ubiquitin-Protein Ligases/metabolism , Ubiquitination/physiology , Amino Acid Sequence , Amino Acid Substitution , Aspartic Acid/chemistry , Aspartic Acid/genetics , Computational Biology , Glutamic Acid/chemistry , Glutamic Acid/genetics , Humans , Hydrogen Bonding , Models, Molecular , Molecular Sequence Data , Protein Binding , Protein Conformation , Protein Structure, Tertiary , Reproducibility of Results , Sequence Alignment , Static Electricity , Two-Hybrid System Techniques , Ubiquitin-Conjugating Enzymes/chemistry , Ubiquitin-Conjugating Enzymes/genetics , Ubiquitin-Protein Ligases/chemistry , Ubiquitin-Protein Ligases/genetics , Ubiquitination/genetics
15.
PLoS One ; 7(8): e41446, 2012.
Article in English | MEDLINE | ID: mdl-22916108

ABSTRACT

PRMT6 belongs to the family of Protein Arginine Methyltransferase (PRMT) enzymes that catalyze the methylation of guanidino nitrogens of arginine residues. PRMT6 has been shown to modify the tail of histone H3, but the in vivo function of PRMT6 is largely unknown. Here, we show that PRMT6 regulates cell cycle progression. Knockdown of PRMT6 expression in the human osteosarcoma cell line U2OS results in an accumulation of cells at the G2 checkpoint. Loss of PRMT6 coincides with upregulation of p21 and p27, two members of the CIP/KIP family of cyclin-dependent kinase (CDK) inhibitors. Gene expression and promoter analysis show that p21 and p27 are direct targets of PRMT6, which involves methylation of arginine-2 of histone H3. Our findings imply arginine methylation of histones by PRMT6 in cell cycle regulation.


Subject(s)
Cell Cycle , Cyclin-Dependent Kinase Inhibitor Proteins/genetics , Nuclear Proteins/metabolism , Protein-Arginine N-Methyltransferases/metabolism , Biocatalysis , Cell Line, Tumor , Cyclin-Dependent Kinase Inhibitor Proteins/metabolism , Cyclin-Dependent Kinase Inhibitor p21/genetics , Cyclin-Dependent Kinase Inhibitor p21/metabolism , Cyclin-Dependent Kinase Inhibitor p27/genetics , Cyclin-Dependent Kinase Inhibitor p27/metabolism , Gene Knockdown Techniques , Humans , Promoter Regions, Genetic , Transcription, Genetic
16.
Genes Dev ; 26(6): 527-41, 2012 Mar 15.
Article in English | MEDLINE | ID: mdl-22426530

ABSTRACT

The yeast SAGA (Spt-Ada-Gcn5-acetyltransferase) coactivator complex exerts functions in gene expression, including activator interaction, histone acetylation, histone deubiquitination, mRNA export, chromatin recognition, and regulation of the basal transcription machinery. These diverse functions involve distinct modules within this multiprotein complex. It has now become clear that yeast SAGA has diverged during metazoan evolution into two related complexes, SAGA and ATAC, which exist in two flavors in vertebrates. The compositions of metazoan ATAC and SAGA complexes have been characterized, and functional analyses indicate that these complexes have important but distinct roles in transcription, histone modification, signaling pathways, and cell cycle regulation.


Subject(s)
Chromatin/metabolism , Evolution, Molecular , Gene Expression Regulation , Saccharomyces cerevisiae Proteins/metabolism , Trans-Activators/metabolism , Animals , Conserved Sequence , Humans , Protein Processing, Post-Translational , Protein Structure, Tertiary , Saccharomyces cerevisiae Proteins/genetics , Trans-Activators/genetics
17.
Nucleic Acids Res ; 40(3): 996-1008, 2012 Feb.
Article in English | MEDLINE | ID: mdl-21976730

ABSTRACT

TATA-binding protein (TBP) is central to the regulation of eukaryotic transcription initiation. Recruitment of TBP to target genes can be positively regulated by one of two basal transcription factor complexes: SAGA or TFIID. Negative regulation of TBP promoter association can be performed by Mot1p or the NC2 complex. Recent evidence suggests that Mot1p, NC2 and TBP form a DNA-dependent protein complex. Here, we compare the functions of Mot1p and NC2ßduring basal and activated transcription using the anchor-away technique for conditional nuclear depletion. Genome-wide expression analysis indicates that both proteins regulate a highly similar set of genes. Upregulated genes were enriched for SAGA occupancy, while downregulated genes preferred TFIID binding. Mot1p and NC2ß depletion during heat shock resulted in failure to downregulate gene expression after initial activation, which was accompanied by increased TBP and RNA pol II promoter occupancies. Depletion of Mot1p or NC2ß displayed preferential synthetic lethality with the TBP-interaction module of SAGA. Our results support the model that Mot1p and NC2ß directly cooperate in vivo to regulate TBP function, and that they are involved in maintaining basal expression levels as well as in resetting gene expression after induction by stress.


Subject(s)
Adenosine Triphosphatases/metabolism , Gene Expression Regulation, Fungal , Repressor Proteins/metabolism , Saccharomyces cerevisiae Proteins/metabolism , TATA-Binding Protein Associated Factors/metabolism , Transcription, Genetic , Adenosine Triphosphatases/genetics , Cell Nucleus/metabolism , Genome, Fungal , Heat-Shock Proteins/metabolism , Heat-Shock Response , Promoter Regions, Genetic , RNA Polymerase II/metabolism , Repressor Proteins/genetics , Saccharomyces cerevisiae Proteins/genetics , TATA-Binding Protein Associated Factors/genetics , Trans-Activators/genetics
18.
Nucleic Acids Res ; 40(4): 1446-59, 2012 Feb.
Article in English | MEDLINE | ID: mdl-22013162

ABSTRACT

The TATA binding protein (TBP) plays a pivotal role in RNA polymerase II (Pol II) transcription through incorporation into the TFIID and B-TFIID complexes. The role of mammalian B-TFIID composed of TBP and B-TAF1 is poorly understood. Using a complementation system in genetically modified mouse cells where endogenous TBP can be conditionally inactivated and replaced by exogenous mutant TBP coupled to tandem affinity purification and mass spectrometry, we identify two TBP mutations, R188E and K243E, that disrupt the TBP-BTAF1 interaction and B-TFIID complex formation. Transcriptome and ChIP-seq analyses show that loss of B-TFIID does not generally alter gene expression or genomic distribution of TBP, but positively or negatively affects TBP and/or Pol II recruitment to a subset of promoters. We identify promoters where wild-type TBP assembles a partial inactive preinitiation complex comprising B-TFIID, TFIIB and Mediator complex, but lacking TFIID, TFIIE and Pol II. Exchange of B-TFIID in wild-type cells for TFIID in R188E and K243E mutant cells at these primed promoters completes preinitiation complex formation and recruits Pol II to activate their expression. We propose a novel regulatory mechanism involving formation of a partial preinitiation complex comprising B-TFIID that primes the promoter for productive preinitiation complex formation in mammalian cells.


Subject(s)
TATA-Binding Protein Associated Factors/metabolism , TATA-Box Binding Protein/metabolism , Transcription, Genetic , Animals , Gene Expression Regulation , Genetic Complementation Test , Genome , Mice , Mutation , Promoter Regions, Genetic , RNA Polymerase II/metabolism , TATA-Binding Protein Associated Factors/chemistry , TATA-Box Binding Protein/chemistry , TATA-Box Binding Protein/genetics , Transcription Factor TFIID/metabolism , Transcriptome
19.
Nucleic Acids Res ; 39(10): 4373-86, 2011 May.
Article in English | MEDLINE | ID: mdl-21278420

ABSTRACT

The carbon catabolite repressor protein 4 (Ccr4)-Negative on TATA (Not) complex controls gene expression at two levels. In the nucleus, it regulates the basal transcription machinery, nuclear receptor-mediated transcription and histone modifications. In the cytoplasm, the complex is required for messenger RNA (mRNA) turnover through its two associated deadenylases, Ccr4 and Caf1. Not1 is the largest protein of the Ccr4-Not complex and serves as a scaffold for other subunits of the complex. Here, we provide evidence that human Not1 in the cytoplasm associates with the C-terminal domain of tristetraprolin (TTP), an RNA binding protein that mediates rapid degradation of mRNAs containing AU-rich elements (AREs). Not1 shows extensive interaction through its central region with TTP, whereas binding of Caf1 is restricted to a smaller central domain within Not1. Importantly, Not1 is required for the rapid decay of ARE-mRNAs, and TTP can recruit the Caf1 deadenylase only in presence of Not1. Thus, cytoplasmic Not1 provides a platform that allows a specific RNA binding protein to recruit the Caf1 deadenylase and thereby trigger decay of its target mRNAs.


Subject(s)
RNA, Messenger/metabolism , Ribonucleases/metabolism , Transcription Factors/metabolism , Tristetraprolin/metabolism , Cell Line , Humans , Protein Structure, Tertiary , RNA Stability , Tristetraprolin/chemistry
20.
EMBO Rep ; 11(8): 612-8, 2010 Aug.
Article in English | MEDLINE | ID: mdl-20634802

ABSTRACT

SAGA (Spt-Ada-Gcn5 acetyltransferase), a coactivator complex involved in chromatin remodelling, harbours both histone acetylation and deubiquitination activities. ATXN7/Sgf73 and ATXN7L3, two subunits of the SAGA deubiquitination module, contain an SCA7 domain characterized by an atypical zinc-finger. We show that the yeast Sgf73-SCA7 domain is not required to recruit Sgf73 into SAGA. Instead, it binds to nucleosomes, a property that is conserved in the human ATXN7-SCA7 domain but is lost in the ATXN7L3 domain. The solution structures of the SCA7 domain of both ATXN7 and ATXN7L3 reveal a new, common zinc-finger motif at the heart of two distinct folds, providing a molecular basis for the observed functional differences.


Subject(s)
Nerve Tissue Proteins/chemistry , Nerve Tissue Proteins/metabolism , Nucleosomes/metabolism , Protein Structure, Secondary , Transcription Factors/chemistry , Transcription Factors/metabolism , Amino Acid Sequence , Animals , Ataxin-7 , Humans , Models, Molecular , Molecular Sequence Data , Nerve Tissue Proteins/genetics , Nuclear Magnetic Resonance, Biomolecular , Protein Binding , Protein Structure, Tertiary , Sequence Alignment , Transcription Factors/genetics , Ubiquitination , Zinc Fingers
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