Abstract
Ubiquitin is required under both normal and stress conditions. Under stress conditions, upregulation of the polyubiquitin gene UBC is essential to meet the requirement of increased ubiquitin levels to confer stress resistance. However, UBC upregulation is usually observed only under stress conditions and not under normal conditions. Therefore, it has not been possible to upregulate UBC under normal conditions to study the effect of excess ubiquitin on cellular machinery. Recently, the CRISPR/Cas9 system has been widely used in biological research as a useful tool to study gene disruption effects. In this study, using an inducible CRISPR/Cas9 variant, a dCas9–VP64 fusion protein, combined with a single guide RNA (sgRNA) containing MS2 aptamer loops and MS2-p65-HSF1, we developed a system to increase the ubiquitin pool via upregulation of UBC. Although it is challenging to upregulate the expression of a gene that is already expressed at high levels, the significance of our system is that UBC upregulation can be induced in an efficient, reversible manner that is compatible with cellular processes, even under normal conditions. This system can be used to study ubiquitin pool dynamics and it will be a useful tool in identifying the role of ubiquitin under normal and stress conditions.
Keywords: ubiquitin, polyubiquitin gene, dCas9, upregulation, stress
1. Introduction
Ubiquitin (Ub) is a highly conserved eukaryotic protein that plays diverse roles within cells [1]. The most important role of Ub is to polyubiquitinate its substrates and target them to the proteasome for degradation [2]. Degradation of these substrates occurs under both normal and stress conditions. A well-known antioxidant response pathway protein, Nrf2 (nuclear factor erythroid 2-related factor 2), is polyubiquitinated and highly prone to degradation under normal conditions, but is stabilized under oxidative stress conditions and translocates into the nucleus to serve as a transcription factor to increase the expression of antioxidant response genes [3,4,5]. However, misfolded proteins generated under oxidative stress conditions are polyubiquitinated and subsequently, targeted to the proteasome [6,7]. Therefore, Ub plays its role under diverse (normal and stress) conditions to maintain cellular protein homeostasis and its target substrates may differ depending on cellular status.
Under proteotoxic or oxidative stress conditions, many proteins tend to be misfolded. These misfolded proteins need to be cleared by the proteasome in a timely manner, otherwise their intermediates accumulate inside cells and oligomerize into non-native protein aggregates [7]. These protein aggregates are usually toxic to cells [8,9]. Therefore, under stress conditions, cellular demand for Ub is increased, as there are more proteins that need to be degraded. A rapid increase in the Ub pool is mainly achieved by the upregulation of the polyubiquitin genes, UBB and/or UBC, and does not involve the constitutively expressed Ub-ribosomal fusion genes, UBA52 and RPS27A. In humans, UBB encodes three tandem repeats of Ub and UBC encodes nine tandem repeats of Ub [10,11]. These linear polyubiquitin proteins are known to be processed to monomeric moieties by a Ub-specific protease immediately after their synthesis [12,13]. Among these two polyubiquitin genes, upregulation of UBC is three times more efficient than that of UBB, assuming similar transcriptional activities. In fact, we have shown that the transcriptional activities of UBB and UBC are markedly different among different tissues and cell types [14,15,16]. Therefore, the contributions of UBB and UBC towards the total Ub pool may also be different. Even in the same tissues or cell types, their contributions are generally greater under stress conditions than those under normal conditions.
It is important that the Ub pool is maintained above certain threshold levels and these levels are dynamic depending on the status of the cell. We have previously shown that reduced levels of cellular Ub, via knockout or knockdown of the polyubiquitin gene Ubc in mouse cell lines, resulted in increased susceptibility to oxidative stress [7,17,18]. Intriguingly, a reduced Ub pool under normal conditions is also associated with developmental defects in the mouse brain and dysregulation of neural stem cell differentiation, with the promotion of gliogenesis and the suppression of neurogenesis [19,20]. These results suggest that Ub plays a pivotal role under both normal and stress conditions.
Although polyubiquitin genes are upregulated under stress conditions, the potential outcomes of polyubiquitin gene upregulation under normal conditions remain unclear. As the cellular Ub pool is tightly regulated, with low and high threshold levels under normal and stress conditions, respectively, it is possible that Ub levels above the threshold may not be harmful to cells, but may not be beneficial either. Alternatively, Ub levels above the threshold, under normal conditions, may play a protective role when cells encounter stress conditions, as they enable cells to more easily reach the higher levels of Ub required under these conditions.
In recent years, Cas9, an RNA-guided bacterial endonuclease, has been widely used for the engineering or editing of mammalian genomes [21,22]. When the two endonuclease activities (RuvC and HNH) of Cas9 are disabled by mutations, it can bind to its target sequence, but double-stranded DNA breaks cannot occur [23]. This inactive Cas9 is known as dCas9. Effector domains can also be fused to dCas9 so that they can be recruited to the region where dCas9 binds. Various effector domains have been used, including VP64 as an activator, KRAB as a repressor, and GFP fluorescence tags to detect the gene of interest [24]. For example, when the dCas9–VP64 fusion protein is targeted to the promoter region, it can be used to upregulate the target gene, if RNA polymerase II can interact with VP64 directly or even indirectly via mediator proteins.
In the present study, we were able to upregulate the polyubiquitin gene UBC, even under normal conditions, using an inducible dCas9–VP64 fusion protein capable of temporally upregulating target genes. We showed that this upregulation was completely reversible. This is of particular interest as upregulation of UBC has typically been observed under stress conditions, but not under normal conditions. Thus, the effect of excessive Ub under normal conditions has not yet been studied. Although ectopic expression of Ub can also increase cellular Ub levels, upregulation of the endogenous polyubiquitin gene provides an alternative approach that is more direct and more compatible with normal cellular processes. Therefore, our study using a modified inducible CRISPR/Cas9 system will provide new insights into the precise role of Ub under normal physiological conditions, as well as under stress conditions.
2. Results
2.1. Validation of Inducible dCas9–VP64 System
To validate our inducible dCas9-mediated transcriptional activation system, we first determined the levels of dCas9 mRNA after 5 μg/mL doxycycline (Dox) treatment for 1 day. Induction with Dox resulted in a dramatic (more than 50-fold) increase in dCas9–VP64 expression in human embryonic kidney (HEK) 293T cells (Figure 1A). Increased dCas9–VP64 expression was independent of cellular stress conditions, as oxidative stress, induced by 10 μM arsenite (NaAsO2) treatment for 5 h, or proteotoxic stress, induced by proteasome inhibition, did not affect the induction of dCas9–VP64 (Figure 1A and Supplementary Figure S1A).
In our previous study, we showed that UBC is upregulated under oxidative stress induced by arsenite (13). To investigate whether Dox treatment and/or the presence of dCas9–VP64 per se influences the regulation of UBC, we determined their expression levels upon exposure to arsenite. Basal UBC expression levels were not affected by 5 μg/mL Dox treatment for 1 day and upregulation of UBC upon exposure to 10 μM arsenite for 5 h was independent of Dox treatment or the presence of dCas9–VP64 in the absence of sgRNAs (Figure 1B). Similarly, the presence of dCas9–VP64 in the absence of sgRNAs did not affect the upregulation of UBC upon proteasome inhibition (Supplementary Figure S1B). Therefore, we confirmed that inducible dCas9–VP64 (idCas9–VP64) can potentially be used to upregulate UBC, if the appropriate sgRNAs targeted to the regulatory region of UBC are identified.
2.2. Design of sgRNAs That can Upregulate UBC
In order to design sgRNAs that can specifically bind the regulatory region of UBC and recruit dCas9–VP64 for transcriptional activation, we first analyzed the promoter and coding region of UBC (Figure 1C). Although its expression levels differ among different cell types or tissues, UBC is an abundant transcript, even under normal conditions, and therefore, it may be challenging to design sgRNAs that can upregulate UBC. Human UBC is localized to chromosome 12, with the gene ID 7316 [25]. Based on the NCBI gene database, the UBC coding region is located in a single 2130 bp exon without any intervening sequences or introns. However, based on the NCBI Reference Sequence NM_021009.6 [26] and the recently updated NM_021009.7 [27], there is either a 455 bp or a 64 bp non-coding exon located 812 bp upstream of the coding exon (Figure 1C). Therefore, this 812 bp region, which starts with the nucleotide sequence GT and ends with AG, has long been thought to serve as an intron (14).
However, the sequences derived from these non-coding exon and intron regions have sometimes been included as part of the UBC promoter, used to drive the constitutive expression of structural genes, such as dCas9 [28]. Therefore, we were curious whether this intron region plays a regulatory role in the transcriptional activation of UBC. To determine whether targeting a transcriptional activator to this intron region is sufficient to promote transcription by RNA polymerase II, we designed four different sgRNAs targeting the intron, between the non-coding and coding exons (Figure 1C).
In our system, dCas9–VP64 was inducible upon treatment with Dox. Although our long-term goal is to establish stable cell lines with sgRNA and idCas9–VP64 expression, in this study we first tested our system using transient expression of sgRNA and idCas9–VP64. After transient transfection of an idCas9–VP64 construct in HEK293T cells, higher dCas9 mRNA levels were observed after treatment with 5 μg/mL Dox for 2 days compared to those treated for 1 day (Figure 2A). After Dox induction for 2 days, we also confirmed dCas9–VP64 protein expression via immunoblot analysis using an anti-Cas9 antibody and expression of the four different sgRNAs via RT-PCR analysis (Figure 2B,C). However, we did not observe UBC upregulation after transient expression of any of the tested sgRNAs, either alone or in combination (Figure 2D). Increasing the concentration of Dox from 5 μg/mL to 10 μg/mL slightly improved the results, especially when sgRNAs were expressed in combination (Figure 2E).
2.3. Utilization of an RNA Aptamer for UBC Upregulation
To improve our system, we used sgRNAs modified with an MS2 RNA aptamer (sgRNA ver. 2) and co-expressed them with MS2-p65-HSF1, a transcriptional activator that recognizes MS2-binding loops and is recruited in close proximity to RNA polymerase II (Figure 3A). In this improved system, HEK293T cells were co-transfected with idCas9–VP64, MS2-p65-HSF1, and sgRNAs with the MS2 aptamer. Induction with 10 μg/mL Dox for 2 days resulted in a significant upregulation of UBC with every tested sgRNA and with sgRNA combinations (Figure 3B). Among the sgRNAs tested, sgUBC #3 showed the most significant upregulation of UBC, with more than a 2-fold increase in expression levels (Figure 3B). This upregulation resulted in increased levels of free Ub, which readily converted to Ub conjugates upon proteotoxic stress induced by proteasome inhibition (Figure 3C). Although UBC is generally considered a housekeeping gene, with relaxed chromatin structure (open conformation), and a transcriptionally active gene, we were able to further upregulate UBC using the MS2 aptamer and three transcriptional activators (VP64, p65, and HSF1). The significance of this upregulation is that it is completely artificial and is not caused by cellular stress conditions, such as oxidative stress.
Next, we tested whether the effect of sgUBC #3 was specific and was indeed caused by binding to its target sequence. Interestingly, when HEK293T cells were treated with 10 μg/mL Dox for up to 4 days post-transfection, UBC expression increased gradually during the first 2 days and then decreased thereafter, although its expression did not return to basal levels (Figure 3D). This pattern of UBC regulation was independent of transcriptional activation mediated by sgUBC #3, as it was also observed with scrambled sgRNA (Figure 3D). This correlates well with the expression patterns of dCas9, sgUBC #3, and MS2-p65-HSF1, which peaked at 2 days and decreased thereafter (Figure 3E and Supplementary Figure S2A,B). When cells divide, plasmid DNA constructs within cells are also distributed to their daughter cells. Therefore, repetitive cell division should result in the decreased number of transfected plasmid DNA constructs per cell. We propose that on and after 3 days post-transfection, the number of plasmid DNA constructs may be the limiting factor for transient expression of dCas9 and other components. Therefore, the reason that UBC upregulation does not continue more than 3 days seems to be due to the characteristics of dividing cells after transient transfection.
UBB expression levels were not affected by the type of sgRNA expressed (sgUBC #3 or scrambled sgRNA), but correlated well with dCas9 expression levels (Figure 3E,F). However, during the first 3 days post-transfection, UBC expression levels were significantly different depending on the type of sgRNA expressed (Figure 3D). The most dramatic upregulation of UBC was observed at 2 days post-transfection, when sgUBC #3 was expressed (Figure 3D). At 2 days post-transfection, UBC mRNA levels, but not UBB mRNA levels, increased further with the expression of sgUBC #3, compared to the expression of scrambled sgRNA (Figure 3D,F). Therefore, the effect of sgUBC #3 was specific to UBC expression, not to UBB expression, which suggests that sgUBC #3 exerted its effect by binding to its target sequence located in the intron of the UBC gene.
When Dox was washed out for 2 days after induction for 2 days, we observed a slight, but not significant, reduction in UBC expression levels compared to 4 days of continuous Dox treatment, with similar patterns in dCas9 expression levels (Figure 3D,E). This indicates that washing out Dox plays a role in downregulating dCas9 expression, resulting in the downregulation of UBC. However, prolonged culture of HEK293T cells may result in the proliferation of cells that do not harbor the idCas9–VP64 construct, which may be the major reason that dCas9 expression cannot be maintained, even with Dox induction. Nonetheless, our results suggest that the upregulation of UBC using sgRNA is an acute response and is completely reversible.
3. Discussion
In the present study, we developed a system to upregulate the polyubiquitin gene UBC, using an inducible CRISPR/Cas9 variant. This system is of particular interest as (1) it can upregulate the stress-responsive gene even under normal conditions; (2) it can upregulate a gene whose expression levels are already high; and (3) its upregulation is dependent on the levels of Cas9 expression and is completely reversible. Therefore, our system will serve as a useful research model to study Ub pool dynamics.
Our system can also be expanded to study the stress resistance of cells. Using our system, we can identify the types of cellular stress that can be ameliorated by prior upregulation of UBC. Excess Ub may play a protective role in such stress conditions, and may help maintain cellular integrity, even under stress conditions. Alternatively, excess Ub under normal conditions may not be related to the stress response. Under stress conditions, it may be possible to further upregulate UBC that has already been upregulated due to cellular stress, although it is unclear whether this further upregulation is directly related to an increase in the stress response. However, based on our data, it is challenging to increase UBC expression under normal conditions, as its basal expression levels are already high. Therefore, further upregulation of UBC expression under stress conditions may be even more challenging, as its expression levels are then higher.
Epigenomic states and chromatin structures are known to be essential regulators of gene expression and are dynamically regulated in response to diverse environmental stimuli [29,30]. In general, histone H3 is most frequently modified and the types of H3 modification enable us to predict whether the chromatin structure is open (euchromatin) or closed (heterochromatin). Depending on the type of H3 modification, diverse functional elements of the genome, such as promoters, enhancers, and gene bodies, can be distinguished and it can be determined whether these elements are in an active or inactive state [31]. Since the ENCODE (Encyclopedia of DNA Elements) database was launched in 2003, it has been updated with a large volume of data regarding the epigenome in diverse cell lines, tissues, and organisms [32,33]. Therefore, for effective upregulation, it is now more practical to design sgRNAs based on the epigenomic state of the gene. Using the ENCODE database, we confirmed that the sgRNAs used in this study were targeted to an intron region with an open conformation and therefore, the sgRNA binding sites were readily accessible. For effective upregulation of target genes, sgRNA binding sites should be located in a region with an open conformation, so that the bulky dCas9-sgRNA complex does not have accessibility issues.
Although transcriptional regulation of UBC has been widely studied, the exact promoter region of UBC has been difficult to define [34]. It is possible that UBC does not have a well-defined promoter, but has a broad promoter region [35]. Furthermore, when we analyzed the RAMPAGE (RNA Annotation and Mapping of Promoters for Analysis of Gene Expression) datasets in the ENCODE database, we found that there are 14 splice variants of UBC [32,33]. Among these splice variants, the start site of the non-coding exon, that is, the transcriptional start site (TSS), is variable (see Figure 1C). Based on the NCBI Reference Sequence NM_021009.6, the size of the non-coding exon is 455 bp, while based on NM_021009.7, it is 64 bp. These two major splice variants have the same intron region of 812 bp (see Figure 1C). However, many minor splice variants have their non-coding exons located further downstream, which results in a smaller intron. Interestingly, many splice variants do not contain the full sequence of the coding region and therefore, it is currently unclear whether these splice variants make any significant contributions towards the Ub pool. To accommodate all of these variants, we designed sgRNAs targeting a region upstream of the coding exon, rather than the highly variable region upstream of the non-coding exon. Therefore, sgRNAs were targeted to the intron region and specifically, to the intron region close to the coding exon (−16, −136, −243 and −157 relative to the ATG site, which is located 3 bp downstream of the coding exon start site). The presence of transcriptional activator Sp1/Sp3 binding sites in this intron region has also been reported previously [36], which supports our strategy of targeting sgRNA to this region.
Since the CRISPR activation (CRISPRa) system was first introduced in mammals, many genes have been successfully targeted for their upregulation [37]. In those studies, most target genes had low basal expression levels. The CRISPRa system can also be used to upregulate genes that are not otherwise fully transcribed. Therefore, the upregulation of genes that are already highly expressed is challenging and this has not been reported extensively, most likely due to the limitations of the system [38,39]. Although polyubiquitin gene expression levels differ spatially and temporally, their expression levels are generally high [7,19]. In this study, we searched for sgRNAs that can upregulate the polyubiquitin gene UBC and one sgRNA targeting the intron (sgUBC #3) was found to upregulate UBC more than 2-fold. To achieve this upregulation, we used a VP64 activator fused to dCas9, as well as p65 and HSF1 activators fused to the MS2 protein, which recognizes MS2 aptamer loops in sgRNAs [40,41]. In our transient expression system, Dox induction for 2 days was necessary and sufficient to increase the levels of dCas9, but further induction did not result in continuous dCas9 expression.
4. Materials and Methods
4.1. Cell Culture
HEK293T cells (#632180; modified for optimal production of lentivirus; Clontech, Mountain View, CA, USA) were cultured in Dulbecco’s modified Eagle medium supplemented with 10% fetal bovine serum, 20 mM glutamine, and 1% antibiotics/antimycotics at 37 °C, with 95% air and 5% CO2.
4.2. Generation of idCas9–VP64 and sgRNA Constructs
Using an online guide sequence design tool [42], we designed guide pairs located near the UBC promoter region, with minimal off-targeting effects, and cloned them into the BsmBI site of lentiGuide-Puro (#52963; Addgene, Watertown, MA, USA) and lenti sgRNA(MS2)_puro optimized backbone (#73797, Addgene) vectors in accordance with the Zhang lab’s protocol [43,44]. All sgRNA sequences used in this study are listed in Table 1. Using the Dox-inducible Cas9 expression vector (pCW-Cas9-Puro, #50661, Addgene) and the Cas9 expression vector (lentiCas9-Blast, #52962, Addgene), we generated an inducible Cas9 expression vector with a drug resistance gene switched (pCW-Cas9-Blast) through Gibson assembly. Using the catalytically inactive Cas9 (dCas9)-VP64 expression vector (pMSCV-LTR-dCas9–VP64, #46912, Addgene) and pCW-Cas9-Blast, we generated a Dox-inducible dCas9–VP64 expression vector (pCW-dCas9–VP64-Blast) through Gibson assembly. For MS2 binding, the lenti MS2-P65-HSF1_Hygro vector (#61426, Addgene) was used.
Table 1.
Target Gene | Protospacer Sequence (5′–3′) | Position Relative to 1st ATG (+1) | Reference |
---|---|---|---|
UBC | CAA AAA CGG CCA GAA TTT AG | −16 | This study |
GGT TTT GAA CTA TGC GCT CG | −136 | This study | |
TCT CCT GAA TCG ACA GGC GC | −243 | This study | |
TTC TTA AGT AGC TGA AGC TC | −157 | This study | |
Scrambled (Control) | GCA CTA CCA GAG CTA ACT CA | X | This study |
4.3. Transient Transfection and Dox Treatment
HEK293T cells were seeded on poly-D-lysine-coated 24-, 12-, or 6-well plates (1 × 105, 2 × 105, or 5 × 105 cells/well, respectively) 1 day before transfection with 1.5 μg, 3 μg, or 7.5 μg of DNA (prepared using a NucleoBond Xtra plasmid midiprep kit; #740410; MACHEREY-NAGEL, Düren, Germany), respectively, using the calcium phosphate precipitation method. At 16–18 h post-transfection, cells were washed twice with 1 × PBS and treated with the indicated concentrations of Dox (#D9891; Sigma Aldrich, St. Louis, MO, USA) or DMSO for 1–4 days.
4.4. Conventional and Quantitative RT-PCR
Total RNA was isolated from cultured and transfected HEK293T cells using TRI Reagent (Molecular Research Center, Cincinnati, OH, USA) following the manufacturer’s protocol. Before reverse transcription, RNA samples were treated with DNase I (amplification grade; Invitrogen, Carlsbad, CA, USA) for 15 min at room temperature. Conventional and quantitative RT-PCR (qRT-PCR) were performed as previously described [45]. Briefly, RNA concentration was measured, and 1 μg of total RNA was used as a template for reverse transcription using SuperiorScript II Reverse Transcriptase (#RT005; Enzynomics, Daejeon, Korea), and 1/20 of the resulting cDNA was used as template for conventional and qRT-PCR. To detect sgRNA expression by conventional RT-PCR, reverse transcription was performed with oligo(dT)18 (50 μM) and scaffold-reverse primers (5′-GAC TCG GTG CCA CTT TTT CA-3′, 20 pmoL), using Titanium Taq DNA polymerase (#639209, Clontech), with the appropriate primer pairs used for subsequent PCR. PCR-amplified samples in 1× DNA loading buffer were electrophoresed on 2% agarose gels and the images were captured using a gel documentation system (Bio-Rad, Hercules, CA, USA). The TOPreal™ qPCR 2 × PreMIX (#RT500, Enzynomics) and an iCycler system (Bio-Rad) were used for qRT-PCR. All qRT-PCR data are presented after normalization to GAPDH mRNA levels. The following primers were used in this study: dCas9-F (5′-GAG ACA AAC CAA TTC GGG AGC-3′), dCas9-R (5′-TCC AGC ACT TCT TTG GTG GAG-3′), UBC-F (5′-CCT GGT GCT CCG TCT TAG AG-3′), UBC-R (5′-TTT CCC AGC AAA GAT CAA CC-3′), UBB-F (5′-TGA GGG GTG GCT GTT AAT TC-3′), UBB-R (5′-CAT TTT GAA CAG GTT CAG CT-3′), GAPDH-F (5′-GGC CTC CAA GGA GTA AGA CC-3′), and GAPDH-R (5′-AGG GGT CTA CAT GGC AAC TG -3′).
4.5. Immunoblot Analysis
Cells were lysed in RIPA buffer and immunoblot analysis was performed as previously described [45]. Briefly, total cell lysates (15 μg) were subjected to SDS-PAGE, followed by immunoblot detection with the appropriate antibodies. Anti-Cas9 (1:500; #517386; Santa Cruz Biotechnology, Dallas, TX, USA), anti-Ub(P4D1) (1:500, #8017, Santa Cruz Biotechnology), or anti-α-Tubulin antibodies (1:500, #32293, Santa Cruz Biotechnology) were used as primary antibodies and HRP-conjugated goat anti-mouse IgG (1:10,000; #ADI-SAB-100-J; Enzo Life Sciences, Farmingdale, NY, USA) was used as the secondary antibody.
4.6. Statistical Analysis
A two-tailed unpaired Student’s t-test was used to compare data between experimental and control groups. p < 0.05 was considered to be statistically significant.
Abbreviations
Ub | ubiquitin |
TSS | transcriptional start site |
Dox | doxycycline |
HEK | human embryonic kidney |
Supplementary Materials
Supplementary materials can be found at https://www.mdpi.com/1422-0067/20/13/3168/s1.
Author Contributions
S.-W.H., B.-K.J. and K.-Y.R. conceived and designed the research; S.-W.H., B.-K.J., S.-H.P. and K.-Y.R. performed the experiments and analyzed the data; S.-W.H., B.-K.J. and K.-Y.R. wrote the paper; all authors reviewed and approved the manuscript.
Funding
This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2016R1A2B4010459) to K.-Y.R.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- 1.Hershko A., Ciechanover A. The ubiquitin system. Annu. Rev. Biochem. 1998;67:425–479. doi: 10.1146/annurev.biochem.67.1.425. [DOI] [PubMed] [Google Scholar]
- 2.Hochstrasser M. Ubiquitin-dependent protein degradation. Annu. Rev. Genet. 1996;30:405–439. doi: 10.1146/annurev.genet.30.1.405. [DOI] [PubMed] [Google Scholar]
- 3.Itoh K., Wakabayashi N., Katoh Y., Ishii T., Igarashi K., Engel J.D., Yamamoto M. Keap1 represses nuclear activation of antioxidant responsive elements by Nrf2 through binding to the amino-terminal Neh2 domain. Genes Dev. 1999;13:76–86. doi: 10.1101/gad.13.1.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Kobayashi A., Kang M.I., Okawa H., Ohtsuji M., Zenke Y., Chiba T., Igarashi K., Yamamoto M. Oxidative stress sensor Keap1 functions as an adaptor for Cul3-based E3 ligase to regulate proteasomal degradation of Nrf2. Mol. Cell. Biol. 2004;24:7130–7139. doi: 10.1128/MCB.24.16.7130-7139.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Zhang D.D., Hannink M. Distinct cysteine residues in Keap1 are required for Keap1-dependent ubiquitination of Nrf2 and for stabilization of Nrf2 by chemopreventive agents and oxidative stress. Mol. Cell. Biol. 2003;23:8137–8151. doi: 10.1128/MCB.23.22.8137-8151.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Jacobson T., Navarrete C., Sharma S.K., Sideri T.C., Ibstedt S., Priya S., Grant C.M., Christen P., Goloubinoff P., Tamas M.J. Arsenite interferes with protein folding and triggers formation of protein aggregates in yeast. J. Cell Sci. 2012;125:5073–5083. doi: 10.1242/jcs.107029. [DOI] [PubMed] [Google Scholar]
- 7.Kim M.-N., Choi J., Ryu H.-W., Ryu K.-Y. Disruption of polyubiquitin gene Ubc leads to attenuated resistance against arsenite-induced toxicity in mouse embryonic fibroblasts. Biochim. Biophys. Acta. 2015;1853:996–1009. doi: 10.1016/j.bbamcr.2015.02.010. [DOI] [PubMed] [Google Scholar]
- 8.Bucciantini M., Giannoni E., Chiti F., Baroni F., Formigli L., Zurdo J., Taddei N., Ramponi G., Dobson C.M., Stefani M. Inherent toxicity of aggregates implies a common mechanism for protein misfolding diseases. Nature. 2002;416:507–511. doi: 10.1038/416507a. [DOI] [PubMed] [Google Scholar]
- 9.Stefani M., Dobson C.M. Protein aggregation and aggregate toxicity: New insights into protein folding, misfolding diseases and biological evolution. J. Mol. Med. 2003;81:678–699. doi: 10.1007/s00109-003-0464-5. [DOI] [PubMed] [Google Scholar]
- 10.Lund P.K., Moats-Staats B.M., Simmons J.G., Hoyt E., D’Ercole A.J., Martin F., Van Wyk J.J. Nucleotide sequence analysis of a cDNA encoding human ubiquitin reveals that ubiquitin is synthesized as a precursor. J. Biol. Chem. 1985;260:7609–7613. [PubMed] [Google Scholar]
- 11.Wiborg O., Pedersen M.S., Wind A., Berglund L.E., Marcker K.A., Vuust J. The human ubiquitin multigene family: Some genes contain multiple directly repeated ubiquitin coding sequences. EMBO J. 1985;4:755–759. doi: 10.1002/j.1460-2075.1985.tb03693.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Komander D., Clague M.J., Urbe S. Breaking the chains: Structure and function of the deubiquitinases. Nat. Rev. Mol. Cell Biol. 2009;10:550–563. doi: 10.1038/nrm2731. [DOI] [PubMed] [Google Scholar]
- 13.Park C.W., Ryu K.Y. Cellular ubiquitin pool dynamics and homeostasis. BMB Rep. 2014;47:475–482. doi: 10.5483/BMBRep.2014.47.9.128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Park C.W., Ryu H.W., Ryu K.Y. Locus coeruleus neurons are resistant to dysfunction and degeneration by maintaining free ubiquitin levels although total ubiquitin levels decrease upon disruption of polyubiquitin gene Ubb. Biochem. Biophys. Res. Commun. 2012;418:541–546. doi: 10.1016/j.bbrc.2012.01.063. [DOI] [PubMed] [Google Scholar]
- 15.Ryu K.Y., Maehr R., Gilchrist C.A., Long M.A., Bouley D.M., Mueller B., Ploegh H.L., Kopito R.R. The mouse polyubiquitin gene UbC is essential for fetal liver development, cell-cycle progression and stress tolerance. EMBO J. 2007;26:2693–2706. doi: 10.1038/sj.emboj.7601722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ryu K.Y., Sinnar S.A., Reinholdt L.G., Vaccari S., Hall S., Garcia M.A., Zaitseva T.S., Bouley D.M., Boekelheide K., Handel M.A., et al. The mouse polyubiquitin gene Ubb is essential for meiotic progression. Mol. Cell. Biol. 2008;28:1136–1146. doi: 10.1128/MCB.01566-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lee D., Ryu K.Y. Effect of cellular ubiquitin levels on the regulation of oxidative stress response and proteasome function via Nrf1. Biochem. Biophys. Res. Commun. 2017;485:234–240. doi: 10.1016/j.bbrc.2017.02.105. [DOI] [PubMed] [Google Scholar]
- 18.Lee H., Kim M.N., Ryu K.Y. Effect of p62/SQSTM1 polyubiquitination on its autophagic adaptor function and cellular survival under oxidative stress induced by arsenite. Biochem. Biophys. Res. Commun. 2017;486:839–844. doi: 10.1016/j.bbrc.2017.03.146. [DOI] [PubMed] [Google Scholar]
- 19.Ryu H.W., Park C.W., Ryu K.Y. Disruption of polyubiquitin gene Ubb causes dysregulation of neural stem cell differentiation with premature gliogenesis. Sci. Rep. 2014;4:7026. doi: 10.1038/srep07026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ryu K.Y., Garza J.C., Lu X.Y., Barsh G.S., Kopito R.R. Hypothalamic neurodegeneration and adult-onset obesity in mice lacking the Ubb polyubiquitin gene. Proc. Natl. Acad. Sci. USA. 2008;105:4016–4021. doi: 10.1073/pnas.0800096105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Doudna J.A., Charpentier E. Genome editing. The new frontier of genome engineering with CRISPR-Cas9. Science. 2014;346:1258096. doi: 10.1126/science.1258096. [DOI] [PubMed] [Google Scholar]
- 22.Hsu P.D., Lander E.S., Zhang F. Development and applications of CRISPR-Cas9 for genome engineering. Cell. 2014;157:1262–1278. doi: 10.1016/j.cell.2014.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Gilbert L.A., Larson M.H., Morsut L., Liu Z., Brar G.A., Torres S.E., Stern-Ginossar N., Brandman O., Whitehead E.H., Doudna J.A., et al. CRISPR-mediated modular RNA-guided regulation of transcription in eukaryotes. Cell. 2013;154:442–451. doi: 10.1016/j.cell.2013.06.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Dominguez A.A., Lim W.A., Qi L.S. Beyond editing: Repurposing CRISPR-Cas9 for precision genome regulation and interrogation. Nat. Rev. Mol. Cell Biol. 2016;17:5–15. doi: 10.1038/nrm.2015.2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.NCBI Gene Full Report UBC Ubiquitin C [Homo Sapiens (Human)] [(accessed on 8 May 2019)]; Gene ID 7316. Available online: https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&dopt=full_report&list_uids=7316.
- 26.NCBI Nucleotide GenBank Homo Sapiens Ubiquitin C (UBC), mRNA. [(accessed on 8 May 2019)]; NCBI Reference Sequence: NM_021009.6. Available online: https://www.ncbi.nlm.nih.gov/nuccore/601984519.
- 27.NCBI Nucleotide GenBank Homo Sapiens Ubiquitin C (UBC), mRNA. [(accessed on 8 May 2019)]; NCBI Reference Sequence: NM_021009.7. Available online: https://www.ncbi.nlm.nih.gov/nuccore/NM_021009.
- 28.Kabadi A.M., Ousterout D.G., Hilton I.B., Gersbach C.A. Multiplex CRISPR/Cas9-based genome engineering from a single lentiviral vector. Nucleic Acids Res. 2014;42:e147. doi: 10.1093/nar/gku749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jirtle R.L., Skinner M.K. Environmental epigenomics and disease susceptibility. Nat. Rev. Genet. 2007;8:253–262. doi: 10.1038/nrg2045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Li E. Chromatin modification and epigenetic reprogramming in mammalian development. Nat. Rev. Genet. 2002;3:662–673. doi: 10.1038/nrg887. [DOI] [PubMed] [Google Scholar]
- 31.Calo E., Wysocka J. Modification of enhancer chromatin: What, how, and why? Mol. Cell. 2013;49:825–837. doi: 10.1016/j.molcel.2013.01.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Consortium E.P. An integrated encyclopedia of DNA elements in the human genome. Nature. 2012;489:57–74. doi: 10.1038/nature11247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Davis C.A., Hitz B.C., Sloan C.A., Chan E.T., Davidson J.M., Gabdank I., Hilton J.A., Jain K., Baymuradov U.K., Narayanan A.K., et al. The Encyclopedia of DNA elements (ENCODE): Data portal update. Nucleic Acids Res. 2018;46:D794–D801. doi: 10.1093/nar/gkx1081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bianchi M., Giacomini E., Crinelli R., Radici L., Carloni E., Magnani M. Dynamic transcription of ubiquitin genes under basal and stressful conditions and new insights into the multiple UBC transcript variants. Gene. 2015;573:100–109. doi: 10.1016/j.gene.2015.07.030. [DOI] [PubMed] [Google Scholar]
- 35.Sandelin A., Carninci P., Lenhard B., Ponjavic J., Hayashizaki Y., Hume D.A. Mammalian RNA polymerase II core promoters: Insights from genome-wide studies. Nat. Rev. Genet. 2007;8:424–436. doi: 10.1038/nrg2026. [DOI] [PubMed] [Google Scholar]
- 36.Bianchi M., Crinelli R., Giacomini E., Carloni E., Magnani M. A potent enhancer element in the 5’-UTR intron is crucial for transcriptional regulation of the human ubiquitin C gene. Gene. 2009;448:88–101. doi: 10.1016/j.gene.2009.08.013. [DOI] [PubMed] [Google Scholar]
- 37.Perez-Pinera P., Kocak D.D., Vockley C.M., Adler A.F., Kabadi A.M., Polstein L.R., Thakore P.I., Glass K.A., Ousterout D.G., Leong K.W., et al. RNA-guided gene activation by CRISPR-Cas9-based transcription factors. Nat. Methods. 2013;10:973–976. doi: 10.1038/nmeth.2600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Chavez A., Tuttle M., Pruitt B.W., Ewen-Campen B., Chari R., Ter-Ovanesyan D., Haque S.J., Cecchi R.J., Kowal E.J.K., Buchthal J., et al. Comparison of Cas9 activators in multiple species. Nat. Methods. 2016;13:563–567. doi: 10.1038/nmeth.3871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hilton I.B., D’Ippolito A.M., Vockley C.M., Thakore P.I., Crawford G.E., Reddy T.E., Gersbach C.A. Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers. Nat. Biotechnol. 2015;33:510–517. doi: 10.1038/nbt.3199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Konermann S., Brigham M.D., Trevino A.E., Joung J., Abudayyeh O.O., Barcena C., Hsu P.D., Habib N., Gootenberg J.S., Nishimasu H., et al. Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. Nature. 2015;517:583–588. doi: 10.1038/nature14136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Zalatan J.G., Lee M.E., Almeida R., Gilbert L.A., Whitehead E.H., La Russa M., Tsai J.C., Weissman J.S., Dueber J.E., Qi L.S., et al. Engineering complex synthetic transcriptional programs with CRISPR RNA scaffolds. Cell. 2015;160:339–350. doi: 10.1016/j.cell.2014.11.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.CHOPCHOP. [(accessed on 8 May 2019)]; Available online: https://chopchop.cbu.uib.no/
- 43.Joung J., Konermann S., Gootenberg J.S., Abudayyeh O.O., Platt R.J., Brigham M.D., Sanjana N.E., Zhang F. Genome-scale CRISPR-Cas9 knockout and transcriptional activation screening. Nat. Protoc. 2017;12:828–863. doi: 10.1038/nprot.2017.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sanjana N.E., Shalem O., Zhang F. Improved vectors and genome-wide libraries for CRISPR screening. Nat. Methods. 2014;11:783–784. doi: 10.1038/nmeth.3047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Jung B.K., Park C.W., Ryu K.Y. Temporal downregulation of the polyubiquitin gene Ubb affects neuronal differentiation, but not maturation, in cells cultured in vitro. Sci. Rep. 2018;8:2629. doi: 10.1038/s41598-018-21032-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
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