Literature DB >> 28379052

Regulation of transcription factors by sumoylation.

Emanuel Rosonina1, Akhi Akhter1, Yimo Dou1, John Babu1, Veroni S Sri Theivakadadcham1.   

Abstract

Transcription factors (TFs) are among the most frequently detected targets of sumoylation, and effects of the modification have been studied for about 200 individual TFs to date. TF sumoylation is most often associated with reduced target gene expression, which can be mediated by enhanced interactions with corepressors or by interference with protein modifications that promote transcription. However, recent studies show that sumoylation also regulates gene expression by controlling the levels of TFs that are associated with chromatin. SUMO can mediate this by modulating TF DNA-binding activity, promoting clearance of TFs from chromatin, or indirectly, by influencing TF abundance or localization.

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Keywords:  SUMO; activator; repressor; sumoylation; transcription; transcription factor

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Year:  2017        PMID: 28379052      PMCID: PMC5574528          DOI: 10.1080/21541264.2017.1311829

Source DB:  PubMed          Journal:  Transcription        ISSN: 2154-1272


Introduction

Sumoylation is a conserved eukaryotic post-translational modification (PTM) that regulates numerous cellular processes, including several that are involved in gene expression (reviewed in Refs. 1-3). Gene Ontology (GO) analysis of a recent human SUMO proteomics study indicates that nearly 300 sequence-specific DNA-binding transcription factors (TFs), that function as activators or repressors of transcription by RNA polymerase II (RNAP II), are SUMO conjugates, which represents over 50% of all TFs in this category, suggesting that TFs are particularly subject to regulation by SUMO. To date, the effects of sumoylation on ∼200 individual TFs have been examined in over 350 published studies, and, with notable exceptions, SUMO modifications are generally associated with reduced or repressed transcription. SUMO can impair transcription by promoting the recruitment of transcriptional corepressor complexes or by interfering with transcription-promoting PTMs, such as acetylation and phosphorylation. However, as supported by several recent studies, it is becoming evident that a major consequence of TF sumoylation is altered levels of TFs that are associated with their target binding sites on chromatin. This can occur directly, by influencing DNA-binding ability or promoting clearance of TFs from chromatin, or indirectly, by regulating TF abundance or localization. Here, we discuss, with recent examples, these mechanisms by which sumoylation regulates TF function and association with chromatin, and how SUMO frequently imparts its negative effects on gene expression by antagonizing transcriptional activators through diverse mechanisms.

The sumoylation pathway

Sumoylation involves the covalent attachment of a ∼12 kDa SUMO polypeptide to specific Lys residues on target proteins. There are five SUMO isoforms in mammals, SUMO1, the nearly identical SUMO2 and SUMO3, and the less-studied isoforms SUMO4 and SUMO5, whereas D. melanogaster, C. elegans and lower eukaryotes, including yeasts, express a single SUMO form. SUMO polypeptides are expressed as precursors that are cleaved to their mature form by members of the SUMO protease family of isopeptidases, which exposes a C-terminal di-glycine motif that is required for conjugation to target proteins. Like ubiquitination, the SUMO conjugation pathway involves a cascade of enzymatic activities. First, the mature SUMO polypeptide is activated by the E1 class activating enzyme, composed of SAE1 and SAE2 subunits, in an ATP hydrolysis-dependent manner. SUMO is then transferred to the sole E2 conjugating enzyme Ubc9, which catalyzes the covalent SUMO modification of the target protein. Although not essential for sumoylation in vitro, SUMO E3 ligases provide target specificity and enhanced sumoylation efficiency. Unlike ubiquitination, the SUMO acceptor site is often situated within a consensus motif whose core sequence is Ψ-K-x-D/E, where Ψ represents a large hydrophobic residue, K is the modified Lys residue, x is any residue, and D/E represents Asp or Glu. Through bioinformatics analysis of multiple SUMO acceptor sites, extended consensus motifs have also been identified, such as the negatively charged amino acid-dependent sumoylation motif (NDSM), which includes clusters of acidic residues downstream of the core motif. Recognition of SUMO acceptor sites within some target proteins requires prior phosphorylation of nearby residues, and these sites are consequently referred to as phosphorylation-dependent sumoylation motifs (PDSM). The dependence on phosphorylation for these SUMO targets reflects the frequently observed cross-talk between phosphorylation and sumoylation on TFs, with one modification promoting or inhibiting the other. For example, MAPK-mediated phosphorylation of Bcl11b promotes its desumoylation through recruitment of the SENP1 SUMO protease during T-cell development. SENP1 is one of multiple mammalian SUMO proteases of the SENP family, whose ubiquitous activity is at least partly responsible for the low level of sumoylation typically seen with most SUMO targets. The molecular consequences of SUMO modifications depend on the specific target proteins, but often result in altered subcellular localization, activity, or stability. The SUMO moiety is thought to mediate these effects by modulating protein–protein interactions, in some cases enabling and in other cases precluding the interactions. Proteins that associate with SUMO-modified partners contain one or more SUMO-interacting motifs (SIMs), typically consisting of several hydrophobic residues situated adjacent to an acidic patch of amino acid residues, which bind directly to a surface on SUMO polypeptides. Conjugated SUMO2/3 polypeptides themselves can be sumoylated, forming SUMO chains that are recognized by proteins that contain multiple adjacent SIMs, such as the SUMO-targeted ubiquitin ligases (STUbLs). STUbLs trigger the degradation of target polysumoylated proteins by promoting their ubiquitination and subsequent degradation through the 26S proteasome. As with sumoylation and phosphorylation, STUbL-mediated ubiquitination is another example of the frequently observed interdependence of SUMO and other protein modifications. The effects of sumoylation on downstream PTMs of target proteins, including phosphorylation, ubiquitination, and acetylation, are discussed below.

Interaction with HDACs and other transcriptional coregulators

In 2004, sumoylation of the ETS domain TF Elk-1 was shown to promote the recruitment of the histone deacetylase complex (HDAC) HDAC-2, a transcriptional corepressor, to promoters of Elk-1 target genes. Since then, mutation of SUMO acceptor sites on numerous other TFs has been found to reduce the association of the TFs with HDACs, and/or impair the recruitment of HDACs to their target genes (Fig. 1A; reviewed in refs. 5,17). Recent studies continue to support HDAC recruitment as a major effect of TF SUMO modification. For example, a sumoylation-deficient form of GFI1, a repressor of haematopoietic stem cell genes, fails to associate efficiently with components of the CoREST HDAC and is defective in transcriptional repression, while a form of glucocorticoid receptor (GR) that cannot be sumoylated is unable to recruit the NCoR1/SMRT HDAC to a subset of GR-repressed target genes. HDACs are the most commonly implicated, but recruitment of other types of corepressors is also promoted by TF sumoylation. For example, G9a, a histone H3 Lys 9 (H3K9) methyltransferase, is targeted to muscle-specific promoters by sumoylation of the repressor Sharp-1 to inhibit skeletal muscle differentiation. The frequently observed connection between TF sumoylation and corepressor recruitment is likely explained by the observation that multiple components of corepressor complexes, including CoREST, NCoR1, and SMRT, are capable of interacting directly with SUMO isoforms. This suggests a straightforward mechanism of SUMO-mediated transcriptional repression through recruitment of corepressor complex subunits by sumoylated, DNA-bound TFs (Fig. 1A).
Figure 1.

SUMO controls TF function through multiple mechanisms. (A) Sumoylation of many repressor TFs enhances transcription inhibition by recruiting HDACs. SUMO interacts directly with components of HDACs, which repress transcription. (B) Sumoylation of some TFs results in recruitment of coactivators CBP/p300, which bind directly to SUMO1, thereby stimulating transcription. (C) SUMO competes with acetylation for target Lys residues on multiple TFs. As TF acetylation frequently promotes gene activation, sumoylation has an inhibitory effect on transcription in these cases. (D) SUMO interferes with phosphorylation at nearby residues on transcription factors that require phosphorylation for full activation of target genes. Examples for each scenario, as described in the text, are listed below each panel. Mechanisms of SUMO action are represented by red arrows; repressive effects of sumoylation on transcription are indicated by red X marks, and stimulation of transcription is indicated by a green arrow. Encircled S represents SUMO; encircled Ac, acetyl; encircled P, phosphate.

SUMO controls TF function through multiple mechanisms. (A) Sumoylation of many repressor TFs enhances transcription inhibition by recruiting HDACs. SUMO interacts directly with components of HDACs, which repress transcription. (B) Sumoylation of some TFs results in recruitment of coactivators CBP/p300, which bind directly to SUMO1, thereby stimulating transcription. (C) SUMO competes with acetylation for target Lys residues on multiple TFs. As TF acetylation frequently promotes gene activation, sumoylation has an inhibitory effect on transcription in these cases. (D) SUMO interferes with phosphorylation at nearby residues on transcription factors that require phosphorylation for full activation of target genes. Examples for each scenario, as described in the text, are listed below each panel. Mechanisms of SUMO action are represented by red arrows; repressive effects of sumoylation on transcription are indicated by red X marks, and stimulation of transcription is indicated by a green arrow. Encircled S represents SUMO; encircled Ac, acetyl; encircled P, phosphate. Reflecting SUMO's less frequent role in promoting transcriptional activation, in only a few studies have SUMO modifications been shown to promote recruitment or association with coactivators, particularly the homologous histone acetyltransferases CBP and p300 (Fig. 1B). Sumoylation of the T cell TF Bcl11b enables its interaction with p300, which is necessary for derepression of genes that it normally represses. Similarly, association of CBP with the CLOCK1-BMAL1 TF complex is dependent on BMAL1 sumoylation, allowing transcription of the circadian rhythm-regulated gene Per1. CBP/p300 contains a type of ZZ zinc finger domain that mediates a direct interaction with SUMO1, suggesting that additional TFs might recruit CBP/p300 through their sumoylation. In other cases, TF sumoylation promotes transcription not by recruiting coactivators, but by disrupting the recruitment or assembly of corepressor complexes. For example, HDAC3 can suppress gene activation through TFII-I, which binds the initiator element of several promoters, but sumoylation of TFII-I impairs its interaction with HDAC3, and, consequently, a sumoylation-deficient form of TFII-I showed reduced induction of transcription from the c-fos promoter. Further work is needed to understand how SUMO modifications selectively regulate the recruitment of either corepressors or coactivators in a context-dependent manner.

Inhibiting acetylation and phosphorylation

In addition to directly modulating the recruitment of transcriptional coregulator complexes to DNA-bound TFs, SUMO modifications often indirectly influence TF activity by inhibiting other types of PTMs on the TF (Figs. 1C and D). Since conjugation of SUMO to Lys precludes other modifications on the residue, sumoylation can compete with other Lys-based modifications to regulate TF function. Acetylation of the tumor suppressor gene product HIC1 impairs its association with the NuRD HDAC component MTA1, thereby reducing its potential as a repressor of target genes. However, sumoylation restores the repressive functions of HIC1 by competing with acetylation for the same Lys residue and promoting the interaction with MTA1. Similarly, one of the five SUMO acceptor sites on the intracellular TF form of lactoferrin, delta-lactoferrin, is also its main site of acetylation, K13. Acetylation at this residue was shown to preclude sumoylation and thereby promote transcriptional activation on a delta-lactoferrin responsive reporter gene. Competition between SUMO and Lys-based ubiquitin modifications has also been observed, usually influencing TF stability (discussed below), but the competition between sumoylation and acetylation often represents a switch between active and inactive forms of modified TFs, with SUMO typically acting as the “off” switch. Although sumoylation and phosphorylation occur on different amino acid residues, SUMO modifications can influence the phosphorylation status of nearby residues. STAT5, which drives transcription of genes required for development and immune cell function, is sumoylated at two neighboring residues, K696 and 700. Sumoylation of STAT5 inhibits phosphorylation at nearby Y694 and competes with acetylation at K696, thereby impeding two transcription-promoting modifications. During cytokine-induced activation of another member of the STAT family, STAT1, phosphorylation at Y701 promotes the formation of polymers called paracrystals, which are associated with the active form of the TF. Sumoylation at nearby K703 obstructs phosphorylation at this position, thereby interfering with polymer formation and limiting gene activation. These examples highlight how the transcriptional repressive effects of SUMO can be mediated by antagonizing other PTMs that promote transcription.

Association with and availability to bind chromatin

In addition to regulating TF activity through interactions with transcriptional coregulators and other PTMs, sumoylation controls the association of TFs with their target sites on chromatin through multiple mechanisms (Fig. 2). This has become evident through several recent studies in which the effects of sumoylation on the TF-chromatin interaction were assayed by chromatin immunoprecipitation (ChIP). In all cases, altering TF sumoylation levels resulted in altered TF chromatin occupancy (see Table 1). Considering also, as discussed below, the frequently-observed effects of TF sumoylation on the subcellular localization and stability of TFs, it is becoming increasingly apparent that a major direct or indirect consequence of TF sumoylation is altered levels of chromatin-bound TFs. Indirectly, sumoylation can control the abundance or subcellular distribution of TFs, thereby influencing the number of TFs that are available for binding to their chromatin target sites, whereas, more directly, sumoylation can influence DNA binding or promote the clearance of DNA-bound TFs from chromatin. These mechanisms are discussed in the four sections below.
Figure 2.

SUMO controls levels of chromatin-associated TFs through diverse mechanisms. (A) Some TFs are sumoylated specifically when bound to DNA during active transcription of target genes, and the modification acts to promote their clearance from DNA, thereby restricting gene expression. (B) STUbLs associate with polysumoylated targets, which results in their ubiquitination and degradation through the 26S proteasome (upper panel). In other cases, TF sumoylation interferes with subsequent ubiquitination, often through competition for target Lys residues, thereby preventing degradation of the target (lower panel). Encircled Ub represents ubiquitin. (C) For many TFs, SUMO has a more direct role in regulating the association with chromatin by inhibiting (upper panel) or promoting (lower panel) their DNA-binding activities. (D) Sumoylation regulates the subcellular localization of TFs, either inhibiting (upper panel) or promoting (lower panel) nuclear retention, or targeting TFs to specific nuclear regions (not depicted). Examples for each scenario, as described in the text, are listed below each panel. The consequences of sumoylation on the association of TFs with chromatin is shown on the right of each panel, with the empty DNA symbol indicating that sumoylation reduces the association, and DNA depicted with a TF indicating that sumoylation promotes the association. Bent arrows represent transcriptional start sites situated downstream of TF binding sites.

Table 1.

Effects of sumoylation on TF chromatin occupancy, determined by ChIP, and target gene expression.

 Apparent consequence of sumoylation *
   
Transcription factorChromatin associationExpression of target genesMethod(s) **NotesRef.
Gcn4↓ Decreased↓ DecreasedMut., Fus. 49,50
FOXA1↓ Decreased↓ DecreasedMut. 35
c-Fos↓ Decreased↓ DecreasedMut. 48
EVI1↓ Decreased↓ DecreasedMut., O/E, K/D 78
FXR↓ Decreased↓ DecreasedMut., O/E, K/D 40
MITF↓ Decreased↓ DecreasedMut. 38
c-Maf↓ Decreased↓ DecreasedMut. 79
MEF↓ Decreased↓ DecreasedMut., O/E 80
Scm↓ Decreased↑ IncreasedMut., Fus., O/E, K/DRepressor36
p53↓ Decreased↓ DecreasedFus.Target gene-dependent31
 ↑ Increased↑ Increased 
GATA-1↑ Increased↑ IncreasedMut., Fus.Subset of targets affected only33
Prox1↑ Increased↑ IncreasedMut. 34

Apparent consequences are inferred by the effects of SUMO site mutation, SUMO peptide fusion to TF, or modulating cellular sumoylation levels. All are human TFs except Gcn4, from Saccharomyces cerevisiae, and Scm, from Drosophila melanogaster.

Abbreviations for methods used to assay effects of TF sumoylation: Mut., SUMO site mutation; Fus., fusion to SUMO polypetide; O/E, overexpression of SUMO or sumoylation enzymes; or K/D, knockdown of SUMO or sumoylation enzymes.

SUMO controls levels of chromatin-associated TFs through diverse mechanisms. (A) Some TFs are sumoylated specifically when bound to DNA during active transcription of target genes, and the modification acts to promote their clearance from DNA, thereby restricting gene expression. (B) STUbLs associate with polysumoylated targets, which results in their ubiquitination and degradation through the 26S proteasome (upper panel). In other cases, TF sumoylation interferes with subsequent ubiquitination, often through competition for target Lys residues, thereby preventing degradation of the target (lower panel). Encircled Ub represents ubiquitin. (C) For many TFs, SUMO has a more direct role in regulating the association with chromatin by inhibiting (upper panel) or promoting (lower panel) their DNA-binding activities. (D) Sumoylation regulates the subcellular localization of TFs, either inhibiting (upper panel) or promoting (lower panel) nuclear retention, or targeting TFs to specific nuclear regions (not depicted). Examples for each scenario, as described in the text, are listed below each panel. The consequences of sumoylation on the association of TFs with chromatin is shown on the right of each panel, with the empty DNA symbol indicating that sumoylation reduces the association, and DNA depicted with a TF indicating that sumoylation promotes the association. Bent arrows represent transcriptional start sites situated downstream of TF binding sites. Effects of sumoylation on TF chromatin occupancy, determined by ChIP, and target gene expression. Apparent consequences are inferred by the effects of SUMO site mutation, SUMO peptide fusion to TF, or modulating cellular sumoylation levels. All are human TFs except Gcn4, from Saccharomyces cerevisiae, and Scm, from Drosophila melanogaster. Abbreviations for methods used to assay effects of TF sumoylation: Mut., SUMO site mutation; Fus., fusion to SUMO polypetide; O/E, overexpression of SUMO or sumoylation enzymes; or K/D, knockdown of SUMO or sumoylation enzymes. Table 1 summarizes the results of studies in which ChIP was used to examine the effects of TF sumoylation on chromatin occupancy. In each study, the level of TF sumoylation was modulated by at least one of three methods: blocked or reduced sumoylation by mutation of TF SUMO acceptor sites or nearby residues, elevated sumoylation by expression of a SUMO-TF fusion protein, or by altering cellular levels of SUMO by overexpression or siRNA-mediated silencing. Although informative, each method carries potential caveats. For example, point mutations can interrupt other types of PTMs, fusion to SUMO does not accurately recapitulate natural Lys sumoylation, and altered expression of sumoylation enzymes influences numerous substrates besides the specific target TF. Predominantly, however, elevated sumoylation levels correlate with reduced TF occupancy, and decreased sumoylation correlates with increased occupancy, suggesting that sumoylation acts in restricting TF association with chromatin. GATA-1 and Prox1, are exceptions, however, as both showed somewhat reduced levels of chromatin occupancy when their SUMO acceptor sites were mutated, and SUMO fusion to p53 resulted in higher occupancy on some target genes and reduced occupancy on others. Whether sumoylation has a widespread role in reducing TF chromatin occupancy will be determined as future studies continue to explore the consequences of TF sumoylation on target site occupancy. However, such a role might be limited to situations where the effects of sumoylation are not dependent on TFs remaining associated with DNA, such as in the recruitment of HDACs. In all the studies listed in Table 1, there is a correlation between the change in TF occupancy and the transcriptional consequences that result from altered sumoylation. For example, SUMO acceptor site mutation of FOXA1, a pioneer TF involved in prostate development, resulted in higher occupancy of the TF on three target loci, and consequently, higher induction of these genes. For Scm, a member of the Drosophila Polycomb group of transcriptional repressors, reduced global sumoylation and SUMO acceptor site mutation also correlated with higher target site occupancy, but consistent with its role as a repressor of homeotic genes, this resulted in decreased expression of its target gene Ubx. A link between TF sumoylation and human disease was made in an insightful pair of studies in which a polymorphism in the TF MITF that predisposes affected individuals to melanoma and renal cell carcinoma was discovered to severely reduce its sumoylation. The polymorphism results in a missense substitution, E318R, that impairs sumoylation at adjacent K317, and reduced sumoylation was found to correlate with increased occupancy of MITF on its target gene HIF1A, with a consequential increase in HIF1A expression. These studies and the others summarized in Table 1 point to a strong relationship between the transcriptional consequences of TF sumoylation and the effects of sumoylation on chromatin occupancy of those TFs. It will therefore be critical in future studies to determine whether the transcriptional effects that are attributed to TF sumoylation are at least partly due to SUMO-dependent changes in the association of TFs with their chromatin targets.

(i) SUMO promotes TF clearance from chromatin

Multiple lines of evidence suggest that at least some TFs are modified by SUMO specifically when they are associated with chromatin. For example, in so-called re-ChIP experiments, in which sequential TF and SUMO immunoprecipitations were performed, sumoylated forms of Elk-1, FXR, and Oct4 were found to be bound to their target gene promoters. Sumoylation of the hematopoiesis-associated TF Ikaros was shown to depend on its intact DNA-binding domain, suggesting that SUMO regulates Ikaros function specifically after it binds to its chromatin targets. A number of groups have used ChIP in yeast or mammalian cells to show that Ubc9 and sumoylated proteins are detected specifically near promoters or transcriptional start sites of actively transcribed RNAP II-dependent genes, which implies that sumoylation plays a general role in regulating TFs during active transcription. For the most part, the specific function of SUMO at these transcriptionally active chromatin sites is unknown, and whether sumoylation affects occupancy of TFs while bound to DNA during active transcription has not been examined. In a series of recent studies, however, sumoylation was found to promote the clearance of two TFs from DNA, suggesting that this might be a common mechanism by which SUMO modifications can regulate the occupancy of TFs on target DNA (Fig. 2A). Using one of the only antibodies reported to date that recognizes a SUMO-modified target specifically, Tempe and colleagues used ChIP to demonstrate that c-Fos is sumoylated when it is bound to its target DNA elements on the promoter of a transcriptionally active reporter gene, thereby correlating c-Fos sumoylation with active transcription. Nonetheless, blocking c-Fos sumoylation resulted in increased activity of the reporter gene and higher levels of c-Fos on its promoter, suggesting that SUMO modifies DNA-bound c-Fos during active transcription to limit its association with promoter DNA. Similarly, we recently showed that sumoylation of the yeast activator Gcn4, which is triggered by DNA binding itself, reduces its association with chromatin and thereby dampens transcription levels of its target genes. In this case, sumoylation of DNA-bound Gcn4 was found to stimulate its phosphorylation by the RNAP II Mediator-associated kinase Cdk8, which then signals for its ubiquitination and proteolysis, thereby clearing Gcn4 from target sites on chromatin. For both c-Fos and Gcn4, sumoylation of the TF on active promoters is thought to restrict its occupancy by enabling its clearance once it has functioned in the recruitment of RNAP II, thereby preventing uncontrolled expression of target genes. Particularly, if a similar mechanism is found to be at play with other TFs in future analyses, these studies might at least partly explain why an apparently repressive mark, SUMO, is so strongly associated with transcriptionally active genes.

(ii) SUMO influences TF stability

Regardless of whether or not sumoylation occurs specifically when TFs are bound to chromatin, SUMO modifications frequently control TF stability by interfering with or promoting subsequent ubiquitination (Fig. 2B). Evidence for widespread dependence of ubiquitination on prior sumoylation was provided in a recent study in which overexpression of SUMO3 in HEK293T cells resulted in increased global levels of protein ubiquitination, while overexpression of the SUMO protease SENP3 had the opposite effect. Much of this is likely due to the activity of STUbLs, which recognize specific sumoylated targets and mark them with ubiquitin chains for degradation. For example, PEA3, a TF involved in neuronal pathfinding, and the ubiquitous TFs Sp1 and c-Myc are recognized in their sumoylated form by the STUbL RNF4 which promotes their ubiquitination and degradation. Despite the correlation between global levels of sumoylation and ubiquitination, in many cases, sumoylation acts to increase target protein stability by inhibiting ubiquitination. This was first observed with IκBα, the inhibitor of the TF NF-κB, for which sumoylation antagonizes its ubiquitination, leaving it resistant to degradation. For delta-lactoferrin and the homeodomain TF ZHX1, sumoylation and ubiquitination are also thought to compete for modification of the same Lys residues, with sumoylation favoring stability of the TFs by blocking ubiquitin-mediated proteolysis. In other cases, TF sumoylation inhibits ubiquitination with a consequential increase in TF stability, but whether the modifications compete for the same Lys residues is not yet known (e.g., refs. 57-59). The multiple examples of cross-talk between sumoylation and ubiquitination suggest that SUMO frequently controls TF abundance, and consequently regulates the levels of TFs that are available for binding to chromatin.

(iii) SUMO controls TF DNA binding

For many TFs, SUMO has a more direct role in controlling access to target sites on chromatin by regulating their ability to bind DNA (Fig. 2C). Multiple studies have examined the effects of sumoylation on DNA binding through in vitro assays. For Sp1, a zinc finger TF with multiple target genes, sumoylation by SUMO2, but not SUMO1, leads to reduced binding to the βB1-crystallin gene promoter in electrophoretic mobility shift analysis and, in agreement, co-expression of SUMO2 with Sp1 in transfected human lens epithelial cells resulted in reduced activation of β-crystallin genes. In contrast, the p32 isoform of Pax-6, a homeodomain TF that regulates brain and eye development, does not efficiently bind a DNA sequence containing its target P3 element in vitro unless it is already sumoylated with SUMO1. Another homeodomain TF, Prox1, also shows dependence on SUMO1 modification for binding to its DNA targets. In a DNA affinity precipitation assay, wild-type Prox1 derived from a human endothelial cell line was capable of binding an oligonucleotide containing the VEGF promoter sequence, whereas a SUMO acceptor site mutant form of Prox1 (K556R) bound only weakly. Supporting the notion that these in vitro observations reflect authentic effects of SUMO on DNA binding in living cells, this effect was corroborated in vivo by ChIP analysis, which showed that wild-type Prox1, but not the K556R mutant, occupies the natural VEGF promoter. Influencing the ability of TFs to bind DNA is a direct mechanism by which SUMO can influence the recruitment of TFs to chromatin, but, in most cases, further studies are needed to determine the structural consequences of SUMO modification that lead to changes in DNA binding.

(iv) SUMO controls TF subcellular localization

Sumoylation regulates the subcellular localization of many TFs, and as a consequence, the transcriptional effects of sumoylation can often be at least partly explained by restricted or enhanced access of modified TFs to their chromatin targets (Fig. 2D). This is the case with FoxM1b, a TF involved in mitotic entry and progression, whose transcriptional activity is suppressed by sumoylation. SUMO acceptor site mutation of FoxM1b causes increased nuclear localization, whereas a SUMO-FoxM1b fusion protein showed increased levels in the cytoplasm, indicating that sumoylation promotes cytoplasmic retention of this TF. On the other hand, sumoylation is associated with nuclear retention for ZIC3, an X-linked transcriptional repressor required for normal heart development, likely explaining why the intact SUMO acceptor site on ZIC3 is required for efficient repression of the cardiac α-actin gene promoter. Consistent with the multiple observations that SUMO conjugates frequently accumulate in nuclear foci, specifically PML bodies in mammals, sumoylation can regulate TFs by targeting them to specific subnuclear regions. For example, in human CD4+ T-cells, sumoylation is required for the recruitment of NFATc1 to PML bodies where it interacts with histone deacetylases, resulting in transcriptionally inactive chromatin and repression of its target gene interleukin-2. Controlling nuclear availability and subnuclear localization, therefore, appear to be important mechanisms by which SUMO regulates TF function and the access of TFs to their chromatin targets.

SUMO: A general antagonist of transcription?

The link between SUMO and transcriptional repression first emerged from early studies on TFs, including Sp3, c-Jun, and c-Myc, all of which showed enhanced ability to activate target genes when their SUMO acceptor sites were mutated. As more sumoylated TFs were identified and studied, the link was upheld. Indeed, approximately 70% of all published studies that examined transcriptional effects of TF sumoylation report a negative effect for the modification on expression of target genes. As described above, for TFs that act as repressors, SUMO generally enhances the repressive effect by directly recruiting HDACs or other corepressors to DNA-bound, sumoylated TFs. Many sumoylated TFs, however, are transcriptional activators whose ability to induce transcription is impaired by SUMO modification through one or multiple mechanisms. For example, sumoylation of FoxM1b promotes its cytosolic translocation and facilitates its ubiquitin-mediated degradation, which results in reduced expression of its target genes. Similarly, the ubiquitous transcriptional activator ATF7 is impaired by SUMO1 modification that inhibits its nuclear translocation, impedes its interaction with the general transcription machinery, and prevents it from binding to target DNA sequences. In some cases, the antagonistic effects of SUMO on transcriptional activators are dramatic and result in a full reversal of function, with activators becoming repressors when sumoylated. It would seem, then, that SUMO frequently functions as a general antagonist of transcriptional activators, working at many levels, potentially as a means of restricting their activity and preventing uncontrolled expression of their target genes. Considering that numerous TFs are modified by SUMO and that the modification almost always affects transcription levels of their target genes, is it possible that cells can coordinately regulate global transcription patterns by modulating cellular sumoylation levels? For example, one might expect that increasing overall sumoylation levels would have a general repressive effect on global transcription, while promoting expression of the small fraction of genes that are positively regulated by TF sumoylation. Such increases in steady-state sumoylation levels are observed under several stress conditions, including temperature, genotoxic, oxidative, and osmotic stresses, and indeed, several TFs become hypersumoylated in stress conditions, including heat shock. Moreover, stress-induced sumoylation has been shown to influence the function of some TFs. For example, a variety of stress conditions increases sumoylation levels of c-Myb, which impairs its function as a transcriptional activator, while heat shock-induced sumoylation of the heat shock TF HSF2 increases expression of its targets. Whereas the numerous studies on sumoylation of individual TFs point to roles in restricting or fine-tuning expression of their target genes under normal conditions, it remains to be determined, on a global scale, what role coordinated changes to TF sumoylation levels might play in shifting transcription patterns during stress and changing environmental conditions. Learning how sumoylation affects their individual functions and whether sumoylation of multiple TFs can occur in a coordinated manner in response to changing conditions will be key toward understanding how cells use SUMO modifications to regulate transcription of specific genes and genome-wide.
  78 in total

1.  Small ubiquitin-like modifier (SUMO) conjugation impedes transcriptional silencing by the polycomb group repressor Sex Comb on Midleg.

Authors:  Matthew Smith; Daniel R Mallin; Jeffrey A Simon; Albert J Courey
Journal:  J Biol Chem       Date:  2011-01-28       Impact factor: 5.157

2.  Coordinated regulation of transcription factor Bcl11b activity in thymocytes by the mitogen-activated protein kinase (MAPK) pathways and protein sumoylation.

Authors:  Ling-juan Zhang; Walter K Vogel; Xiao Liu; Acharawan Topark-Ngarm; Brian L Arbogast; Claudia S Maier; Theresa M Filtz; Mark Leid
Journal:  J Biol Chem       Date:  2012-06-14       Impact factor: 5.157

Review 3.  Something about SUMO inhibits transcription.

Authors:  Grace Gill
Journal:  Curr Opin Genet Dev       Date:  2005-10       Impact factor: 5.578

4.  A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma.

Authors:  Corine Bertolotto; Fabienne Lesueur; Sandy Giuliano; Thomas Strub; Mahaut de Lichy; Karine Bille; Philippe Dessen; Benoit d'Hayer; Hamida Mohamdi; Audrey Remenieras; Eve Maubec; Arnaud de la Fouchardière; Vincent Molinié; Pierre Vabres; Stéphane Dalle; Nicolas Poulalhon; Tanguy Martin-Denavit; Luc Thomas; Pascale Andry-Benzaquen; Nicolas Dupin; Françoise Boitier; Annick Rossi; Jean-Luc Perrot; Bruno Labeille; Caroline Robert; Bernard Escudier; Olivier Caron; Laurence Brugières; Simon Saule; Betty Gardie; Sophie Gad; Stéphane Richard; Jérôme Couturier; Bin Tean Teh; Paola Ghiorzo; Lorenza Pastorino; Susana Puig; Celia Badenas; Hakan Olsson; Christian Ingvar; Etienne Rouleau; Rosette Lidereau; Philippe Bahadoran; Philippe Vielh; Eve Corda; Hélène Blanché; Diana Zelenika; Pilar Galan; François Aubin; Bertrand Bachollet; Céline Becuwe; Pascaline Berthet; Yves Jean Bignon; Valérie Bonadona; Jean-Louis Bonafe; Marie-Noëlle Bonnet-Dupeyron; Fréderic Cambazard; Jacqueline Chevrant-Breton; Isabelle Coupier; Sophie Dalac; Liliane Demange; Michel d'Incan; Catherine Dugast; Laurence Faivre; Lynda Vincent-Fétita; Marion Gauthier-Villars; Brigitte Gilbert; Florent Grange; Jean-Jacques Grob; Philippe Humbert; Nicolas Janin; Pascal Joly; Delphine Kerob; Christine Lasset; Dominique Leroux; Julien Levang; Jean-Marc Limacher; Cristina Livideanu; Michel Longy; Alain Lortholary; Dominique Stoppa-Lyonnet; Sandrine Mansard; Ludovic Mansuy; Karine Marrou; Christine Matéus; Christine Maugard; Nicolas Meyer; Catherine Nogues; Pierre Souteyrand; Laurence Venat-Bouvet; Hélène Zattara; Valérie Chaudru; Gilbert M Lenoir; Mark Lathrop; Irwin Davidson; Marie-Françoise Avril; Florence Demenais; Robert Ballotti; Brigitte Bressac-de Paillerets
Journal:  Nature       Date:  2011-10-19       Impact factor: 49.962

5.  Direct binding of CoREST1 to SUMO-2/3 contributes to gene-specific repression by the LSD1/CoREST1/HDAC complex.

Authors:  Jian Ouyang; Yujiang Shi; Alvaro Valin; Yan Xuan; Grace Gill
Journal:  Mol Cell       Date:  2009-04-24       Impact factor: 17.970

6.  Controlling hematopoiesis through sumoylation-dependent regulation of a GATA factor.

Authors:  Hsiang-Ying Lee; Kirby D Johnson; Tohru Fujiwara; Meghan E Boyer; Shin-Il Kim; Emery H Bresnick
Journal:  Mol Cell       Date:  2009-12-25       Impact factor: 17.970

7.  Sumoylation delays the ATF7 transcription factor subcellular localization and inhibits its transcriptional activity.

Authors:  Pierre-Jacques Hamard; Michaël Boyer-Guittaut; Barbara Camuzeaux; Denis Dujardin; Charlotte Hauss; Thomas Oelgeschläger; Marc Vigneron; Claude Kedinger; Bruno Chatton
Journal:  Nucleic Acids Res       Date:  2007-01-30       Impact factor: 16.971

8.  Sumoylation of Rap1 mediates the recruitment of TFIID to promote transcription of ribosomal protein genes.

Authors:  Pierre Chymkowitch; Aurélie P Nguéa; Håvard Aanes; Christian J Koehler; Bernd Thiede; Susanne Lorenz; Leonardo A Meza-Zepeda; Arne Klungland; Jorrit M Enserink
Journal:  Genome Res       Date:  2015-03-23       Impact factor: 9.043

9.  SUMOylation Blocks the Ubiquitin-Mediated Degradation of the Nephronophthisis Gene Product Glis2/NPHP7.

Authors:  Haribaskar Ramachandran; Konstantin Herfurth; Rudolf Grosschedl; Tobias Schäfer; Gerd Walz
Journal:  PLoS One       Date:  2015-06-17       Impact factor: 3.240

10.  Sumoylation at chromatin governs coordinated repression of a transcriptional program essential for cell growth and proliferation.

Authors:  Hélène Neyret-Kahn; Moussa Benhamed; Tao Ye; Stéphanie Le Gras; Jack-Christophe Cossec; Pierre Lapaquette; Oliver Bischof; Maia Ouspenskaia; Mary Dasso; Jacob Seeler; Irwin Davidson; Anne Dejean
Journal:  Genome Res       Date:  2013-07-26       Impact factor: 9.043

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  37 in total

Review 1.  Specificity, versatility, and control of TGF-β family signaling.

Authors:  Rik Derynck; Erine H Budi
Journal:  Sci Signal       Date:  2019-02-26       Impact factor: 8.192

Review 2.  A conserved role for transcription factor sumoylation in binding-site selection.

Authors:  Emanuel Rosonina
Journal:  Curr Genet       Date:  2019-05-15       Impact factor: 3.886

3.  Loss of the E2 SUMO-conjugating enzyme Ube2i in oocytes during ovarian folliculogenesis causes infertility in mice.

Authors:  Amanda Rodriguez; Shawn M Briley; Bethany K Patton; Swamy K Tripurani; Kimal Rajapakshe; Cristian Coarfa; Aleksander Rajkovic; Alexandra Andrieux; Anne Dejean; Stephanie A Pangas
Journal:  Development       Date:  2019-12-02       Impact factor: 6.868

Review 4.  Signaling to and from the RNA Polymerase III Transcription and Processing Machinery.

Authors:  Ian M Willis; Robyn D Moir
Journal:  Annu Rev Biochem       Date:  2018-01-12       Impact factor: 23.643

Review 5.  SUMOylation and phosphorylation cross-talk in hepatocellular carcinoma.

Authors:  Maria Lauda Tomasi; Komal Ramani
Journal:  Transl Gastroenterol Hepatol       Date:  2018-04-23

6.  SUMOlock reveals a more complete Aspergillus nidulans SUMOylome.

Authors:  Tetsuya Horio; Edyta Szewczyk; C Elizabeth Oakley; Aysha H Osmani; Stephen A Osmani; Berl R Oakley
Journal:  Fungal Genet Biol       Date:  2019-03-05       Impact factor: 3.495

Review 7.  SUMO-Mediated Regulation of Nuclear Functions and Signaling Processes.

Authors:  Xiaolan Zhao
Journal:  Mol Cell       Date:  2018-08-02       Impact factor: 17.970

Review 8.  New insights into non-transcriptional regulation of mammalian core clock proteins.

Authors:  Priya Crosby; Carrie L Partch
Journal:  J Cell Sci       Date:  2020-09-15       Impact factor: 5.285

9.  PDPK1 regulates autophagosome biogenesis by binding to PIK3C3.

Authors:  Boli Hu; Yina Zhang; Tingjuan Deng; Jinyan Gu; Juan Liu; Hui Yang; Yuting Xu; Yan Yan; Fan Yang; Heng Zhang; Yulan Jin; Jiyong Zhou
Journal:  Autophagy       Date:  2020-09-10       Impact factor: 16.016

10.  SLX4IP promotes RAP1 SUMOylation by PIAS1 to coordinate telomere maintenance through NF-κB and Notch signaling.

Authors:  Nathaniel J Robinson; Masaru Miyagi; Jessica A Scarborough; Jacob G Scott; Derek J Taylor; William P Schiemann
Journal:  Sci Signal       Date:  2021-06-29       Impact factor: 8.192

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