Control Of Gene Expression Levels Research Articles

Dual-role transcription factors stabilize intermediate expression levels

Precise control of gene expression levels is essential for normal cell functions, yet how they are defined and tightly maintained, particularly at intermediate levels, remains elusive. Here, using a series of newly developed sequencing, imaging, and functional assays, we uncover a class of transcription factors with dual roles as activators and repressors, referred to as condensate-forming level-regulating dual-action transcription factors (TFs). They reduce high expression but increase low expression to achieve stable intermediate levels. Dual-action TFs directly exert activating and repressing functions via condensate-forming domains that compartmentalize core transcriptional unit selectively. Clinically relevant mutations in these domains, which are linked to a range of developmental disorders, impair condensate selectivity and dual-action TF activity. These results collectively address a fundamental question in expression regulation and demonstrate the potential of level-regulating dual-action TFs as powerful effectors for engineering controlled expression levels.

The molecular genetics of nELAVL in brain development and disease.

Embryonic development requires tight control of gene expression levels, activity, and localisation. This control is coordinated by multiple levels of regulation on DNA, RNA and protein. RNA-binding proteins (RBPs) are recognised as key regulators of post-transcriptional gene regulation, where their binding controls splicing, polyadenylation, nuclear export, mRNA stability, translation rate and decay. In brain development, the ELAVL family of RNA binding proteins undertake essential functions across spatiotemporal windows to help regulate and specify transcriptomic programmes for cell specialisation. Despite their recognised importance in neural tissues, their molecular roles and connections to pathology are less explored. Here we provide an overview of the neuronal ELAVL family, noting commonalities and differences amongst different species, their molecular characteristics, and roles in the cell. We bring together the available molecular genetics evidence to link different ELAVL proteins to phenotypes and disease, in both the brain and beyond, including ELAVL2, which is the least studied ELAVL family member. We find that ELAVL-related pathology shares a common neurological theme, but different ELAVL proteins are more strongly connected to different phenotypes, reflecting their specialised expression across time and space.

The Efficiency of Gene Activation Using CRISPR/dCas9-Based Transactivation Systems Depends on the System Run Time

Transactivation systems are a promising application based on the CRISPR/Cas9 system and allow targeted control of gene expression levels in cell culture. However, their performance has been reported to vary considerably depending on the cell type and the activator system. Three activator systems (dCas9-VP160, dCas9-SunTag, and dCas9-VPR) were compared for the efficiency of activating expression of OCT4, NANOG, PDX1, FOXA2, NKX2-2, and NKX6-1 in an immortalized human skin fibroblast line. The activation efficiency was found to depend on the activation system type; the extent of activation depended on the system run time.

Increasing-Dimension Evolution: Make the evolutionary design of passive filters more efficient

Evolutionary circuit design is a promising way to achieve the automatic synthesis of analog circuits, and passive filters are essential circuits that must be considered. For now, in the evolutionary design of passive filters, the size control of filters under practical difficulty is still an important issue to be studied. This paper proposed a search strategy called Increasing-Dimension Evolution (IDE). The strategy introduces the concepts of exon and intron to control gene expression levels in evolutionary search. Through this strategy, even if the length of the chromosome is fixed, the search engine can effectively search up multiple design spaces and find a small circuit size at low computing costs. We built an effective evolutionary filter design model using the IDE strategy. Experimental results show that the proposed strategy can obtain filter sizes comparable to advanced conventional design methods for several passive filter design tasks with practical difficulties. In addition, the strategy makes the search engine more effective in a given complex task, and this task is difficult to be directly solved using conventional design methods.

Patterns and Crucial Regulation of Alternative Splicing During Early Development in Zebrafish

Many vertebrate genes generate multiple transcript variants that may encode functionally distinct protein isoforms, but the transcriptomes of various developmental stages are poorly defined. Identifying the transcriptome and its regulation during the normal developmental process is the key to deciphering the developmental stage-specific functions of genes. Here we presented a systematic assessment of the temporal alternative splicing (AS) events during the critical development stages to capture the dynamic gene expression changes and AS in zebrafish. An unexpected transcriptome complexity generated by AS was observed during zebrafish development. The patterns of AS events varied substantially among developmental stages despite the similarities in the total proportion of AS genes. We further found that AS afforded substantial functional diversification of genes through the generation of stage-specific AS events from broadly protein-coding genes as an essential developmental regulatory mechanism. Skipped exon (SE) showed the strongest signals among developmental AS (devAS), suggesting that devAS events generated by SE may be necessary for the normal development of zebrafish. Most developmental genes regulated by AS mechanisms were not modulated in terms of their overall expression levels, indicating that AS shaped the transcriptome independently from transcriptional regulation during development. 128-cell stage was a critical stage for gene transcription during embryonic development. Splicing factors as an essential developmental regulator underwent AS in the potential autoregulatory feedback loop and expressed multiple isoforms. Thus, zebrafish development was shaped by an interplay of programs controlling gene expression levels and AS. Overall, we provided a global view of developmental patterns of AS during zebrafish development and revealed that AS transitions were the crucial regulatory component of zebrafish embryonic development.

Long Noncoding RNA 00472: A Novel Biomarker in Human Diseases.

Long non-coding RNAs (lncRNAs) play important roles in human diseases. They control gene expression levels and influence various biological processes through multiple mechanisms. Functional abnormalities in lncRNAs are strongly associated with occurrence and development of various diseases. LINC00472, which is located on chromosome 6q13, is involved in several human diseases, particularly cancers of the breast, lung, liver, osteosarcoma, bladder, colorectal, ovarian, pancreatic and stomach. Importantly, LINC00472 can be used as a biomarker for breast cancer cell sensitivity to chemotherapeutic regimens, including doxorubicin. LINC00472 is regulated by microRNAs and several signaling pathways. However, the significance of LINC00472 in human diseases has not been clearly established. In this review, we elucidate on the significance of LINC00472 in various human diseases, indicating that LINC00472 may be a diagnostic, prognostic as well as therapeutic target for these diseases.

Alternative splicing during mammalian organ development

Alternative splicing (AS) is pervasive in mammalian genomes, yet cross-species comparisons have been largely restricted to adult tissues and the functionality of most AS events remains unclear. We assessed AS patterns across pre- and postnatal development of seven organs in six mammals and a bird. Our analyses revealed that developmentally dynamic AS events, which are especially prevalent in the brain, are substantially more conserved than nondynamic ones. Cassette exons with increasing inclusion frequencies during development show the strongest signals of conserved and regulated AS. Newly emerged cassette exons are typically incorporated late in testis development, but those retained during evolution are predominantly brain specific. Our work suggests that an intricate interplay of programs controlling gene expression levels and AS is fundamental to organ development, especially for the brain and heart. In these regulatory networks, AS affords substantial functional diversification of genes through the generation of tissue- and time-specific isoforms from broadly expressed genes.

Exploring the Complexity of Protein-Level Dosage Compensation that Fine-Tunes Stoichiometry of Multiprotein Complexes.

Proper control of gene expression levels upon various perturbations is a fundamental aspect of cellular robustness. Protein-level dosage compensation is one mechanism buffering perturbations to stoichiometry of multiprotein complexes through accelerated proteolysis of unassembled subunits. Although N-terminal acetylation- and ubiquitin-mediated proteasomal degradation by the Ac/N-end rule pathway enables selective compensation of excess subunits, it is unclear how widespread this pathway contributes to stoichiometry control. Here we report that dosage compensation depends only partially on the Ac/N-end rule pathway. Our analysis of genetic interactions between 18 subunits and 12 quality control factors in budding yeast demonstrated that multiple E3 ubiquitin ligases and N-acetyltransferases are involved in dosage compensation. We find that N-acetyltransferases-mediated compensation is not simply predictable from N-terminal sequence despite their sequence specificity for N-acetylation. We also find that the compensation of Pop3 and Bet4 is due in large part to a minor N-acetyltransferase NatD. Furthermore, canonical NatD substrates histone H2A/H4 were compensated even in its absence, suggesting N-acetylation-independent stoichiometry control. Our study reveals the complexity and robustness of the stoichiometry control system.

Molecular Insights Into Regulatory T-Cell Adaptation to Self, Environment, and Host Tissues: Plasticity or Loss of Function in Autoimmune Disease.

There has been much interest in the ability of regulatory T cells (Treg) to switch function in vivo, either as a result of genetic risk of disease or in response to environmental and metabolic cues. The relationship between levels of FOXP3 and functional fitness plays a significant part in this plasticity. There is an emerging role for Treg in tissue repair that may be less dependent on FOXP3, and the molecular mechanisms underpinning this are not fully understood. As a result of detailed, high-resolution functional genomics, the gene regulatory networks and key functional mediators of Treg phenotype downstream of FOXP3 have been mapped, enabling a mechanistic insight into Treg function. This transcription factor-driven programming of T-cell function to generate Treg requires the switching on and off of key genes that form part of the Treg gene regulatory network and raises the possibility that this is reversible. It is plausible that subtle shifts in expression levels of specific genes, including transcription factors and non-coding RNAs, change the regulation of the Treg gene network. The subtle skewing of gene expression initiates changes in function, with the potential to promote chronic disease and/or to license appropriate inflammatory responses. In the case of autoimmunity, there is an underlying genetic risk, and the interplay of genetic and environmental cues is complex and impacts gene regulation networks frequently involving promoters and enhancers, the regulatory elements that control gene expression levels and responsiveness. These promoter–enhancer interactions can operate over long distances and are highly cell type specific. In autoimmunity, the genetic risk can result in changes in these enhancer/promoter interactions, and this mainly impacts genes which are expressed in T cells and hence impacts Treg/conventional T-cell (Tconv) function. Genetic risk may cause the subtle alterations to the responsiveness of gene regulatory networks which are controlled by or control FOXP3 and its target genes, and the application of assays of the 3D organization of chromatin, enabling the connection of non-coding regulatory regions to the genes they control, is revealing the direct impact of environmental/metabolic/genetic risk on T-cell function and is providing mechanistic insight into susceptibility to inflammatory and autoimmune conditions.

CRISPR-based functional genomics for neurological disease.

Neurodegenerative, neurodevelopmental and neuropsychiatric disorders are among the greatest public health challenges, as many lack disease-modifying treatments. A major reason for the absence of effective therapies is our limited understanding of the causative molecular and cellular mechanisms. Genome-wide association studies are providing a growing catalogue of disease-associated genetic variants, and the next challenge is to elucidate how these variants cause disease and to translate this understanding into therapies. This Review describes how new CRISPR-based functional genomics approaches can uncover disease mechanisms and therapeutic targets in neurological diseases. The bacterial CRISPR system can be used in experimental disease models to edit genomes and to control gene expression levels through CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa). These genetic perturbations can be implemented in massively parallel genetic screens to evaluate the functional consequences for human cells. CRISPR screens are particularly powerful in combination with induced pluripotent stem cell technology, which enables the derivation of differentiated cell types, such as neurons and glia, and brain organoids from cells obtained from patients. Modelling of disease-associated changes in gene expression via CRISPRi and CRISPRa can pinpoint causal changes. In addition, genetic modifier screens can be used to elucidate disease mechanisms and causal determinants of cell type-selective vulnerability and to identify therapeutic targets.

Plasmid copy number variation of a modular vector set in Shewanella oneidensis MR-1.

To advance synthetic biology approaches that utilize S. oneidensis as host for biotechnology applications, we have investigated the variation in plasmid copy number of a modular vector set resulting from distinct origins of replication under different conditions. The replicons yielded a ≈9X-fold range for plasmid copy number variation in S. oneidensis (while the same origins yielded a ≈3X-fold range in Escherichia coli). This provides a sizeable range to control gene expression levels in S. oneidensis for synthetic biology applications. In addition, plasmid harboring the pBBR1 origin resulted in stable copy numbers in S. oneidensis under different conditions (mid-logarithmic, stationary, multi-plasmid). This may enable the realization of synthetic circuits in S. oneidensis where predictable, quantitative behavior is desired (in either single- or double-plasmid contexts).

Dissection of c-AMP Response Element Architecture by Using Genomic and Episomal Massively Parallel Reporter Assays.

In eukaryotes, transcription factors (TFs) orchestrate gene expression by binding to TF-binding sites (TFBSs) and localizing transcriptional co-regulators and RNA polymerase II to cis-regulatory elements. However, we lack a basic understanding of the relationship between TFBS composition and their quantitative transcriptional responses. Here, we measured expression driven by 17,406 synthetic cis-regulatory elements with varied compositions of a model TFBS, the c-AMP response element (CRE) by using massively parallel reporter assays (MPRAs). We find CRE number, affinity, and promoter proximity largely determines expression. In addition, we observe expression modulation based on the spacing between CREs and CRE distance to the promoter, where expression follows a helical periodicity. Finally, we compare library expression between an episomal MPRA and a genomically integrated MPRA, where a single cis-regulatory element is assayed per cell at a defined locus. These assays largely recapitulate each other, although weaker, non-canonical CREs exhibit greater activity in a genomic context.

In Vivo Tethering System to Isolate RNA-Binding Proteins Regulating mRNA Decay in Leishmania.

RNA-binding proteins (RBPs) play key roles in many aspects of RNA metabolism. In Leishmania, a unicellular eukaryote that favors the posttranscriptional mode of regulation for controlling gene expression levels, the function of RBPs becomes even more critical. However, due largely to limited in vivo approaches available for identifying RBPs in these parasites, there have been no significant advances to our understanding of the role these proteins play in posttranscriptional control through binding to cis-acting elements in the 3' untranslated region (3'UTR) of mRNAs. Here we describe an optimized in vivo RNA tethering approach using the bacteriophage MS2 coat protein combined to immunoprecipitation and mass spectrometry analysis to identify RBPs specifically interacting with 3'UTR short interspersed degenerated retroposon elements (SIDERs). Members of the SIDER2 subfamily were shown previously to promote mRNA degradation through a novel mechanism of mRNA decay. Using this modified MS2 tethering approach, we have identifiedcandidate RBPs specifically interacting with SIDER2 elements and contributing to the decay mechanism.

Noise-reducing optogenetic negative-feedback gene circuits in human cells.

Gene autorepression is widely present in nature and is also employed in synthetic biology, partly to reduce gene expression noise in cells. Optogenetic systems have recently been developed for controlling gene expression levels in mammalian cells, but most have utilized activator-based proteins, neglecting negative feedback except for in silico control. Here, we engineer optogenetic gene circuits into mammalian cells to achieve noise-reduction for precise gene expression control by genetic, in vitro negative feedback. We build a toolset of these noise-reducing Light-Inducible Tuner (LITer) gene circuits using the TetR repressor fused with a Tet-inhibiting peptide (TIP) or a degradation tag through the light-sensitive LOV2 protein domain. These LITers provide a range of nearly 4-fold gene expression control and up to 5-fold noise reduction from existing optogenetic systems. Moreover, we use the LITer gene circuit architecture to control gene expression of the cancer oncogene KRAS(G12V) and study its downstream effects through phospho-ERK levels and cellular proliferation. Overall, these novel LITer optogenetic platforms should enable precise spatiotemporal perturbations for studying multicellular phenotypes in developmental biology, oncology and other biomedical fields of research.

Precise tuning of gene expression levels in mammalian cells

Precise, analogue regulation of gene expression is critical for cellular function in mammals. In contrast, widely employed experimental and therapeutic approaches such as knock-in/out strategies are more suitable for binary control of gene activity. Here we report on a method for precise control of gene expression levels in mammalian cells using engineered microRNA response elements (MREs). First, we measure the efficacy of thousands of synthetic MRE variants under the control of an endogenous microRNA by high-throughput sequencing. Guided by this data, we establish a library of microRNA silencing-mediated fine-tuners (miSFITs) of varying strength that can be employed to precisely control the expression of user-specified genes. We apply this technology to tune the T-cell co-inhibitory receptor PD-1 and to explore how antigen expression influences T-cell activation and tumour growth. Finally, we employ CRISPR/Cas9 mediated homology directed repair to introduce miSFITs into the BRCA1 3′UTR, demonstrating that this versatile tool can be used to tune endogenous genes.

Overcoming the Cost of Positive Autoregulation by Accelerating the Response with a Coupled Negative Feedback

SUMMARYA fundamental trade-off between rapid response and optimal expression of genes below cytotoxic levels exists for many signaling circuits, particularly for positively autoregulated systems with an inherent response delay. Here, we describe a regulatory scheme in the E. coli PhoB-PhoR two-component system, which overcomes the cost of positive feedback and achieves both fast and optimal steadystate response for maximal fitness across different environments. Quantitation of the cellular activities enables accurate modeling of the response dynamics to describe how requirements for optimal protein concentrations place limits on response speed. An observed fast response that exceeds the limit led to the prediction and discovery of a coupled negative autoregulation, which allows fast gene expression without increasing steady-state levels. We demonstrate the fitness advantages for the coupled feedbacks in both dynamic and stable environments. Such regulatory schemes offer great flexibility for accurate control of gene expression levels and dynamics upon environmental changes.

Mobilizable Plasmids for Tunable Gene Expression in Francisella novicida.

Francisella tularensis is the causative agent of the life-threatening disease tularemia. However, the molecular tools to study Francisella are limited. Especially, expression plasmids are sparse and difficult to use, as they are unstable and prone to spontaneous loss. Most Francisella expression plasmids lack inducible promoters making it difficult to control gene expression levels. In addition, available expression plasmids are mainly designed for F. tularensis, however, genetic differences including restriction-modification systems impede the use of these plasmids in F. novicida, which is often used as a model organism to study Francisella pathogenesis. Here we report construction and characterization of two mobilizable plasmids (pFNMB1 and pFNMB2) designed for regulated gene expression in F. novicida. pFNMB plasmids contain a tetracycline inducible promoter to control gene expression levels and oriT for RP4 mediated mobilization. We show that both plasmids are stably maintained in bacteria for more than 40 generations over 4 days of culturing in the absence of selection against plasmid loss. Expression levels are dependent on anhydrotetracycline concentration and homogeneous in a bacterial population. pFNMB1 and pFNMB2 plasmids differ in the sequence between promoter and translation start site and thus allow to reach different maximum levels of protein expression. We used pFNMB1 and pFNMB2 for complementation of Francisella Pathogenicity Island mutants ΔiglF, ΔiglI, and ΔiglC in-vitro and pFNMB1 to complement ΔiglI mutant in bone marrow derived macrophages.

Controlling microbial PHB synthesis via CRISPRi.

Microbial polyhydroxyalkanoates (PHA) are a family of biopolyesters with properties similar to petroleum plastics such as polyethylene (PE) or polypropylene (PP). Polyhydroxybutyrate (PHB) is the most common PHA known so far. Clustered regularly interspaced short palindromic repeats interference (CRISPRi), a technology recently developed to control gene expression levels in eukaryotic and prokaryotic genomes, was employed to regulate PHB synthase activity influencing PHB synthesis. Recombinant Escherichia coli harboring an operon of three PHB synthesis genes phaCAB cloned from Ralstonia eutropha, was transformed with various single guided RNA (sgRNA with its guide sequence of 20-23 bases) able to bind to various locations of the PHB synthase PhaC, respectively. Depending on the binding location and the number of sgRNA on phaC, CRISPRi was able to control the phaC transcription and thus PhaC activity. It was found that PHB content, molecular weight, and polydispersity were approximately in direct and reverse proportion to the PhaC activity, respectively. The higher the PhaC activity, the more the intracellular PHB accumulation, yet the less the PHB molecular weights and the wider the polydispersity. This study allowed the PHB contents to be controlled in the ranges of 1.47-75.21% cell dry weights, molecular weights from 2 to 6 millions Dalton and polydispersity of 1.2 to 1.43 in 48h shake flask studies. This result will be very important for future development of ultrahigh molecular weight PHA useful to meet high strength application requirements.

Engineering rTCA pathway and C4-dicarboxylate transporter for l-malic acid production

L-Malic acid is an important component of a vast array of food additives, antioxidants, disincrustants, pharmaceuticals, and cosmetics. Here, we presented a pathway optimization strategy and a transporter modification approach to reconstruct the L-malic acid biosynthesis pathway and transport system, respectively. First, pyruvate carboxylase (pyc) and malate dehydrogenase (mdh) from Aspergillus flavus and Rhizopus oryzae were combinatorially overexpressed to construct the reductive tricarboxylic acid (rTCA) pathway for L-malic acid biosynthesis. Second, the L-malic acid transporter (Spmae) from Schizosaccharomyces pombe was engineered by removing the ubiquitination motification to enhance the L-malic acid efflux system. Finally, the L-malic acid pathway was optimized by controlling gene expression levels, and the final L-malic acid concentration, yield, and productivity were up to 30.25gL-1, 0.30gg-1, and 0.32gL-1h-1 in the resulting strain W4209 with CaCO3 as a neutralizing agent, respectively. In addition, these corresponding parameters of pyruvic acid remained at 30.75gL-1, 0.31gg-1, and 0.32gL-1h-1, respectively. The metabolic engineering strategy used here will be useful for efficient production of L-malic acid and other chemicals.

The dynamic mechanism of noisy signal decoding in gene regulation

Experimental evidence supports that signaling pathways can induce different dynamics of transcription factor (TF) activation, but how an input signal is encoded by such a dynamic, noisy TF and further decoded by downstream genes remains largely unclear. Here, using a system of stochastic transcription with signal regulation, we show that (1) keeping the intensity of the signal noise invariant but prolonging the signal duration can both enhance the mutual information (MI) and reduce the energetic cost (EC); (2) if the signal duration is fixed, the larger MI needs the larger EC, but if the signal period is fixed, there is an optimal time that the signal spends at one lower branch, such that MI reaches the maximum; (3) if both the period and the duration are simultaneously fixed, increasing the input noise can always enhance MI in the case of transcription regulation rather than in the case of degradation regulation. In addition, we find that the input noise can induce stochastic focusing in a regulation-dependent manner. These results reveal not only the dynamic mechanism of noisy signal decoding in gene regulation but also the essential role of external noise in controlling gene expression levels.