Illuminating the host – How RNAi screens shed light on host-pathogen interactions

Over millions of years pathogens have coevolved with their respective hosts utilizing host cell functions for survival and replication. Despite remarkable progress in developing antibiotics and vaccination strategies in the last century, infectious diseases still remain a severe threat to human health. Meanwhile, genomic research offers a new era of data-generating platforms that will dramatically enhance our knowledge of pathogens and the diseases they cause. Improvements in gene knockdown studies by RNA interference (RNAi) combined with recent developments in instrumentation and image analysis enable the use of high-throughput screening approaches to elucidate host gene functions exploited by pathogens. Although only a few RNAi-based screens focusing on host genes have been reported so far, these studies have already uncovered hundreds of genes not previously known to be involved in pathogen infection. This review describes recent progress in RNAi screening approaches, highlighting both the limitations and the tremendous potential of RNAi-based screens for the identification of essential host cell factors during infection.     

Identification of the suppressive factors for human immunodeficiency virus type-1 replication using the siRNA mini-library directed against host cellular genes

We performed the screening to find the novel host factors affecting human immunodeficiency virus type-1 (HIV-1) replication using the siRNA mini-library consisted with 257 siRNAs directed against cellular genes. J111 cells, a human acute monocytic leukemia cell line, were transfected with individual siRNA, followed by either infected or transfected with the HIV-1 molecular clone with luciferase reporter gene in 96-well plate format. The results showed that six siRNAs significantly enhanced the HIV-1 replication in J111 cells, indicating that the target cellular genes of those siRNAs may negatively regulate HIV-1 replication in normal cell culture condition. We also discuss the possible mechanisms by which those cellular proteins regulate viral replication.     

DNA vector-based RNAi approach for stable depletion of poly(ADP-ribose) polymerase-1

RNA-mediated interference (RNAi) is a powerful technique that is now being used in mammalian cells to specifically silence a gene. Some recent studies have used this technique to achieve variable extent of depletion of a nuclear enzyme poly(ADP-ribose) polymerase-1 (PARP-1). These studies reported either transient silencing of PARP-1 using double-stranded RNA or stable silencing of PARP-1 with a DNA vector which was introduced by a viral delivery system. In contrast, here we report that a simple RNAi approach which utilizes a pBS-U6-based DNA vector containing strategically selected PARP-1 targeting sequence, introduced in the cells by conventional CaPO(4) protocol, can be used to achieve stable and specific silencing of PARP-1 in different types of cells. We also provide a detailed strategy for selection and cloning of PARP-1-targeting sequences for the DNA vector, and demonstrate that this technique does not affect expression of its closest functional homolog PARP-2.     

An RNAi screening platform to identify secretion machinery in mammalian cells

Integrative approaches to study protein function in a cellular context are a vital aspect of understanding human disease. Genome sequencing projects provide the basic catalogue of information with which to unravel gene function, but more systematic applications of this resource are now necessary. Here, we describe and test a platform with which it is possible to rapidly use RNA interference in cultured mammalian cells to probe for proteins involved in constitutive protein secretion. Synthetic small interfering RNA molecules are arrayed in chambered slides, then incubated with cells and an assay for secretion performed. Automated microscopy is used to acquire images from the experiments, and automated single-cell analysis rapidly provides reliable quantitative data. In test arrays of 92 siRNA spots targeting 37 prospective membrane traffic proteins, our approach identifies 7 of these as being important for the correct delivery of a secretion marker to the cell surface. Correlating these findings with other screens and bioinformatic information makes these candidates highly likely to be novel membrane traffic machinery components.     

Silencing of vanilloid receptor TRPV1 by RNAi reduces neuropathic and visceral pain in vivo

RNA interference (RNAi) has proven to be a powerful technique to study the function of genes by producing knock-down phenotypes. Here, we report that intrathecal injection of an siRNA against the transient receptor potential vanilloid receptor 1 (TRPV1) reduced cold allodynia of mononeuropathic rats by more than 50% over a time period of approximately 5 days. A second siRNA targeted to a different region of the TRPV1 gene was employed and confirmed the analgesic action of a TRPV1 knock-down. Furthermore, siRNA treatment diminished spontaneous visceral pain behavior induced by capsaicin application to the rectum of mice. The analgesic effect of siRNA-mediated knockdown of TRPV1 in the visceral pain model was comparable to that of the low-molecular weight receptor antagonist BCTC. Our data demonstrate that TRPV1 antagonists, including TRPV1 siRNAs, have potential in the treatment of both, neuropathic and visceral pain.     

Lentiviral vector-derived shRNAs confer enhanced suppression of Semliki forest virus replication in BHK-21 cells compared to shRNAs expressed from plasmids

Semliki forest virus (SFV) is a pathogen causing lethal encephalitis in laboratory mice. In this study, we obtained three short hairpin RNAs (shRNAs) which could specifically target SFV sequence in GFP reporting systems and effectively suppress SFV replication in luciferase-containing reporter virus system. At a multiplicity of infection (MOI) of 0.001, the luciferase reporter activity was reduced by 78–92% by shRNA expression plasmids and virus yields reduced 2 to 10-fold at 20 h post-infection. When lentiviral vector-derived shRNAs were employed, the virus titers decreased 8 to 126-fold at 24 h post-infection and 6 to 19-fold at 48 h post-infection and the cell survival was prolonged. These data formed the basis for further in vivo studies of RNA interference in mouse models.     

多靶向RNA干扰技术在基因治疗中的应用与前景

RNA干扰(RNA interference,RNAi)通过转录后基因沉默效应特异性抑制靶基因的表达,其沉默机制的高效性、特异性及稳定性使这项技术成为生物医学领域研究基因治疗的重要工具。阐述RNAi技术的特点和RNAi疗法的现状,特别是多靶小干扰RNA(small interference RNA,siRNA)目前的发展态势及其各种结构性修饰,通过使用这些结构修饰的siRNA提高基因沉默的效率,将有助于提高疗效。但该技术在广泛应用于临床之前,仍存在一些亟待解决的问题与面临的挑战,需进一步研究。     

靶向survivin的siRNA对胃癌BGC-823细胞增殖的影响

目的探讨干扰RNA沉默生存素（survivin）基因表达对人胃癌BGC-823细胞增殖和凋亡的影响。方法设计并合成3条靶向survivin的小分子干扰RNA（siRNA）,构建表达性干扰RNA质粒（shRNA）——shRNA-survivin-1、shRNA-survivin-2和shRNA-survivin-3,分别转染胃癌BGC-823细胞,实时定量PCR检测干扰RNA沉默survivin mRNA表达效果,Westernblot观察对胃癌BGC-823细胞survivin蛋白质表达的抑制,MTT（四甲基偶氮唑盐）比色法分析检测细胞生长抑制率,流式细胞计数检测各组细胞周期和凋亡率,探讨干扰RNA对胃癌BGC-823细胞生长的影响。结果在体外,shRNA-survivin-1有效沉默人胃癌BGC-823细胞survivin mRNA的表达,使sur-vivin mRNA相对水平明显降低（P〈0.05）,survivin蛋白质表达抑制,72h细胞生长抑制率达74.92%（P〈0.05）,shRNA-survivin-1使G2/M期细胞百分比明显增加,凋亡率显著增加（P〈0.05）。结论 shRNA-survivin-1可以沉默survivin基因的表达,可以显著抑制胃癌BGC-823细胞的增殖,在一定程度上诱导其自发凋亡。本研究为靶向sur-vivin的RNA干扰在胃癌的基因治疗提供了有力的理论依据和技术储备。     

靶向survivin的siRNA对胃癌BGC-823细胞增殖和转移能力的影响

目的探讨沉默生存素（survivin）基因表达的干扰RNA对人胃癌BGC-823细胞增殖和成瘤能力的影响。方法应用已经在细胞上验证能够有效沉默survivin的小分子干扰RNA（shRNA-survivin-1）,并在体外实验的基础上,建立稳定表达干扰RNA细胞系,进一步探讨干扰RNA稳定表达对胃癌BGC-823细胞生长和裸鼠移植成瘤的影响。结果 shRNA-survivin-1有效沉默人胃癌BGC-823细胞survivin mRNA的表达,成功筛选shRNA-sur-vivin-1稳定表达细胞株BGC/siRNA-1细胞,实验表明,BGC/siRNA-1细胞的生长曲线缓慢上升,细胞增殖能力下降;BGC/siRNA-1细胞裸鼠移植成瘤体积与对照组相比,明显减小（P〈0.05）。结论 shRNA-survivin-1可以沉默survivin基因的表达,可以显著抑制胃癌BGC-823细胞的增殖,并降低胃癌BGC-823细胞的成瘤能力,本研究为靶向survivin的RNA干扰在胃癌的基因治疗提供了有力的理论依据和技术储备。 更多还原     

High-throughput RNAi screening to dissect cellular pathways: A how-to guide

RNA interference (RNAi) has become a powerful tool to dissect cellular pathways and characterize gene functions. The availability of genome-wide RNAi libraries for various model organisms and mammalian cells has enabled high-throughput RNAi screenings. These RNAi screens successfully identified key components that had previously been missed in classical forward genetic screening approaches and allowed the assessment of combined loss-of-function phenotypes. Crucially, the quality of RNAi screening results depends on quantitative assays and the choice of the right biological context. In this review, we provide an overview on the design and application of high-throughput RNAi screens as well as data analysis and candidate validation strategies.     

A rAAV2-producing yeast screening model to identify host proteins enhancing rAAV DNA replication and vector yield

Recombinant adeno-associated viral vectors (rAAV) are promising therapies for genetic diseases. Although current platforms for recombinant vector production can generate drug material for pre-clinical and clinical studies, rAAV biomanufacturing will eventually face commercial supply challenges if per cell vector productivity and process scalability are not improved. Because considerable efforts have traditionally focused on optimizing rAAV plasmid design, herein we investigate the impact of host cell proteins on vector production to identify proteins that may enhance rAAV yield. Using a rAAV2-GFP-producing Saccharomyces cerevisiae model in combination with the yeast Tet Hughes Collection screening library, we identified 22 gene candidates that improved rAAV DNA replication (rAAV-GFP/18s rDNA ratio) and vector yield (benzonase-resistant rAAV DNA vector genome titer) as high as 6-fold and 15-fold relative to control, respectively. The candidate proteins participate in biological processes such as DNA replication, ribosome biogenesis, and RNA and protein processing. The best five candidates (PRE4, HEM4, TOP2, GPN3, and SDO1) were further screened by generating overexpression mutants in the YPH500 yeast strain. Subsequent clone evaluation was performed to confirm the rAAV-promoting activity of selected candidates under plate-based and bioreactor-controlled fermentation conditions. Digital droplet PCR analysis of cell lysate and AVB resin-purified material confirmed HEM4 and TOP2 overexpression mutants displayed the highest per cell total rAAV DNA productivity (1.6 and 1.7-fold increase over control, respectively) and per cell vector productivity (3 and 4-fold over control, respectively). This evaluation confirmed that overexpression of HEM4 and TOP2 proteins enhanced total and benzonase-resistant rAAV DNA yield. Further studies are needed to understand their mechanism of action and to assess their potential application in molecular strategies for rAAV production. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 35: e2725, 2019     

基于CRISPR/Cas9技术的高通量筛选平台:发掘病毒复制相关宿主分子的新途径

病毒作为严格的细胞内寄生生物,需要多种宿主蛋白辅助其完成生命周期。寻找与病毒复制相关的宿主因子并揭示其作用机制,将有助于阐明病毒的感染机制,为疫病的防治提供新靶标。与RNA干扰技术相比,近年来兴起的CRISPR/Cas9技术能更特异、高效、准确地实现基因组编辑,因而在功能基因研究中得到更广泛应用。而基于CRISPR/Cas9系统的宿主全基因组sgRNA文库高通量筛选技术平台,可快速发现参与病毒侵入、复制等生物学过程的关键宿主因子,通过明确病毒-宿主分子相互作用进而揭示病毒的生命周期,为分子病毒学和免疫学提供了强大的研究工具。本文主要总结了基于CRISPR/Cas9技术的高通量筛选平台的具体筛选流程,归纳和讨论了该平台在筛选调控病毒复制相关宿主因子中的应用现状和发展前景。     

Applications of RNA interference high-throughput screening technology in cancer biology and virology

RNA interference (RNAi) is an ancient intra-cellular mechanism that regulates gene expression and cell function. Large-scale gene silencing using RNAi high-throughput screening (HTS) has opened an exciting frontier to systematically study gene function in mammalian cells. This approach enables researchers to identify gene function in a given biological context and will provide considerable novel insight. Here, we review RNAi HTS strategies and applications using case studies in cancer biology and virology.     

Genome-wide shRNA screening identifies host factors involved in early endocytic events for HIV-1-induced CD4 down-regulation

Background

Down-modulation of the CD4 receptor is one of the hallmarks of HIV-1 infection and it is believed to confer a selective replicative advantage to the virus in vivo. This process is mainly mediated by three viral proteins: Env, Vpu and Nef. To date, the mechanisms that lead to CD4 depletion from the surface of infected cells during HIV-1 infection are still only partially characterized. In this study, we sought to identify and characterize cellular host factors in HIV-1-induced CD4 down-modulation.

Results

To identify host factors involved in CD4 down-regulation, we used a whole genome-targeting shRNA lentiviral library in HeLa CD4+ cells expressing Nef as an inducer of CD4 down-modulation. We identified 55 genes, mainly encoding for proteins involved in various steps of clathrin-mediated endocytosis. For confirmation and further selection of the hits we performed several rounds of validation, using individual shRNA lentiviral vectors with a different target sequence for gene knock-down in HIV-1-infected T cells. By this stringent validation set-up, we could demonstrate that the knock-down of DNM3 (dynamin 3), SNX22 (sorting nexin 22), ATP6AP1 (ATPase, H+ Transporting, Lysosomal Accessory Protein 1), HRBL (HIV-Rev binding protein Like), IDH3G (Isocitrate dehydrogenase), HSP90B1 (Heat shock protein 90 kDa beta member 1) and EPS15 (Epidermal Growth Factor Receptor Pathway Substrate 15) significantly increases CD4 levels in HIV-infected SupT1 T cells compared to the non-targeting shRNA control. Moreover, EPS15, DNM3, IDH3G and ATP6AP1 knock-down significantly decreases HIV-1 replication in T cells.

Conclusions

We identified seven genes as cellular co-factors for HIV-1-mediated CD4 down-regulation in T cells. The knock-down of four out of seven of these genes also significantly reduces HIV-1 replication in T cells. Next to a role in HIV-mediated CD4 down-regulation, these genes might however affect HIV-1 replication in another way. Our findings give insights in the HIV-1-mediated CD4 down-regulation at the level of the plasma membrane and early endosomes and identify four possible new HIV-1 replication co-factors.

     

Uncovering RNAi mechanisms in plants: biochemistry enters the foray

In plants, the RNA interference (RNAi) machinery responds to a variety of triggers including viral infection, transgenes, repeated elements and transposons. All of these triggers lead to silencing outcomes ranging from mRNA degradation to translational repression to chromatin remodeling. Thus, plants offer us a potentially unique opportunity to understand the full range of RNAi effector mechanisms. In this review, we discuss the recent developments in our understanding of plant RNAi mechanisms from a biochemical perspective.     

High-throughput screening to identify potential inhibitors of the Zα domain of the adenosine deaminase 1 (ADAR1)

Adenosine deaminases acting on RNA 1 (ADAR1) are enzymes involved in editing adenosine to inosine in the dsRNAs of cells associated with cancer development. The p150 isoform of ADAR1 is the only isoform containing the Zα domain that binds to both Z-DNA and Z-RNA. The Zα domain is suggested to modulate the immune response and could be a suitable target for antiviral treatment and cancer immunotherapy. In this study, we aimed to identify potential inhibitors for ADAR1 protein that bind the Zα domain using molecular docking and simulation tools. Virtual docking and molecular dynamics simulation approaches were used to screen the potential activity of 2115 FDA-approved compounds on the Zα domain of ADAR1 and filtered for to obtain the top-scoring hits. The top three compounds with the best XP Gscore—namely alendronate (−7.045), etidronate (−6.923), and zoledronate (−6.77)—were subjected to 50 ns simulations to characterize complex stability and identify the fundamental interactions that contribute to inhibition of the ADAR1 Zα domain. The three compounds were shown to interact with Lys169, Lys170, Asn173, and Tyr177 of the Zα domain-like helical backbone of Z-RNA. The study provides a comprehensive and novel insights of repurposes drugs for the inhibition of ADAR1 function.     

Systematic RNAi studies on the role of Sp/KLF factors in globin gene expression and erythroid differentiation

Sp/KLF family of factors regulates gene expression by binding to the CACCC/GC/GT boxes in the DNA through their highly conserved three zinc finger domains. To investigate the role of this family of factors in erythroid differentiation and globin gene expression, we first measured the expression levels of selected Sp/KLF factors in primary cells of fetal and adult stages of erythroid development. This quantitative analysis revealed that their expression levels vary significantly in cells of either stages of the erythroid development. Significant difference in their expression levels was observed between fetal and adult erythroid cells for some Sp/KLF factors. Functional studies using RNA interference revealed that the silencing of Sp1 and KLF8 resulted in elevated level of gamma globin expression in K562 cells. In addition, K562 cells become visibly red after Sp1 knockdown. Benzidine staining revealed significant hemoglobinization of these cells, indicating erythroid differentiation. Moreover, the expression of PU.1, ETS1 and Notch1 is significantly down-regulated in the cells that underwent erythroid differentiation following Sp1 knockdown. Overexpression of PU.1 or ETS1 efficiently blocked the erythroid differentiation caused by Sp1 knockdown in K562 cells. The expression of c-Kit, however, was significantly up-regulated. These data indicate that Sp1 may play an important role in erythroid differentiation.     

An optimized MM/PBSA virtual screening approach applied to an HIV-1 gp41 fusion peptide inhibitor

VIRus Inhibitory Peptide (VIRIP), a 20 amino acid peptide, binds to the fusion peptide (FP) of human immunodeficiency virus type 1 (HIV-1) gp41 and blocks viral entry. VIRIP derivatives with improved antiviral activity have been developed, and one of those derivatives has recently proven effective and safe in a phase 1/2 clinical trial. Here, molecular dynamics were executed in combination with molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) free energy calculations to explore the binding interaction between VIRIP derivatives and gp41 FP. A promising correlation between antiviral activity and simulated binding free energy was established thanks to restriction of the flexibility of the peptides, inclusion of configurational entropy calculations, and the use of multiple internal dielectric constants for the MM/PBSA calculations depending on the amino acid sequence. Based on these results, a virtual screening experiment was carried out to design VIRIP analogs with further improved antiretroviral activity. A selection of peptides was tested for inhibitory activity and several VIRIP derivatives were identified with significantly enhanced activity compared to the reference peptides. The results demonstrate that computational modeling strategies using an adapted MM/PBSA methodology improve the accuracy of binding free energy calculations of peptide complexes compared to the classic MM/PBSA protocol. As such, this virtual screening approach generated HIV-1 gp41 FP inhibitors with improved antiviral activity that could be useful for future clinical applications.