Pathway-Dependent Effectiveness of Network Algorithms for Gene Prioritization

A network-based approach has proven useful for the identification of novel genes associated with complex phenotypes, including human diseases. Because network-based gene prioritization algorithms are based on propagating information of known phenotype-associated genes through networks, the pathway structure of each phenotype might significantly affect the effectiveness of algorithms. We systematically compared two popular network algorithms with distinct mechanisms – direct neighborhood which propagates information to only direct network neighbors, and network diffusion which diffuses information throughout the entire network – in prioritization of genes for worm and human phenotypes. Previous studies reported that network diffusion generally outperforms direct neighborhood for human diseases. Although prioritization power is generally measured for all ranked genes, only the top candidates are significant for subsequent functional analysis. We found that high prioritizing power of a network algorithm for all genes cannot guarantee successful prioritization of top ranked candidates for a given phenotype. Indeed, the majority of the phenotypes that were more efficiently prioritized by network diffusion showed higher prioritizing power for top candidates by direct neighborhood. We also found that connectivity among pathway genes for each phenotype largely determines which network algorithm is more effective, suggesting that the network algorithm used for each phenotype should be chosen with consideration of pathway gene connectivity.     

Identification and validation of a gene involved in anchorage-independent cell growth control using a library of randomized hairpin ribozymes

We have developed a library of hairpin ribozyme genes that can be delivered and expressed in mammalian cells with the purpose of identifying genes involved in a specific phenotype. By applying the appropriate phenotypic selection criteria in tissue culture, we can enrich for ribozymes that knock down expression of an unknown gene or genes in a particular pathway. Once specific ribozymes are selected, their target binding sequence is used to identify and clone the target gene. We have applied this technology to identify a putative tumor suppressor gene that has been activated in HF cells, a nontransformed revertant of HeLa cells. Using soft agar growth as the selection criteria for gain of transformation, we have isolated ribozymes capable of triggering anchorage-independent growth. Isolation of one of these ribozymes, Rz 568, led to the identification and cloning of the human homologue of the Drosophila gene ppan, a gene involved in DNA replication, cell proliferation, and larval development. This novel human gene, PPAN, was verified as the biologically relevant target of Rz 568 by creating five additional "target validation" ribozymes directed against additional sites in the PPAN mRNA. Rz 568 and all of the target validation ribozymes reduced the level of PPAN mRNA in cells and promoted anchorage-independent growth. Exogenous expression of PPAN in HeLa and A549 tumor cells reduced their ability to grow in soft agar, underscoring its role in regulating anchorage-dependent growth. This study describes a novel method for gene discovery where the intracellular application of hairpin ribozyme libraries was used to identify a novel gene based solely on a phenotype.     

Targeting mitosis‐regulating genes in cisplatin‐sensitive and ‐resistant melanoma cells: A live‐cell RNAi screen displays differential nucleus‐derived phenotypes

Chemoresistance in malignant melanoma remains an unresolved clinical issue. In the search for novel molecular targets, a live‐cell high‐content RNAi screen based on gene expression data was performed in cisplatin‐sensitive and cisplatin‐resistant MeWo melanoma cells, Mel‐28 cells and a melanocyte cell line. Cells were exposed to 91 siRNAs and distinct nucleus‐derived phenotypes such as cell division, cell death and migration phenotypes were detected by time‐lapse microscopy over 60 h. Using this approach, cisplatin‐sensitive and cisplatin‐resistant melanoma cells were compared by automated image analysis and visual inspection. In cisplatin‐sensitive MeWo melanoma cells, 14 genes were identified that showed distinct phenotype abnormalities after exposure to gene‐specific siRNAs. In cisplatin‐resistant MeWo cells, five genes were detected. Nine genes were detected whose knock‐down led to differential nuclear phenotypes in cisplatin‐sensitive and ‐resistant cells. In Mel‐28 cells, nine genes were identified which induced nuclear phenotypes including all eight genes which were identified in cisplatin‐resistant MeWo cells. An analogous RNAi screen on melanocytes revealed no detectable phenotype abnormalities after RNAi. Pathway analysis showed in cisplatin‐sensitive MeWo cells and Mel‐28 cells an enrichment of at least three genes in major mitotic pathways. We hereby show that siRNA screening may help to identify tumor‐specific genes leading to phenotype abnormalities. These genes may serve as potential therapeutic targets in the treatment of melanoma.     

siRNAs induce efficient RNAi response in Bombyx mori embryos

Short interference RNA (siRNA) is widely used in mammalian cells. In insects, however, reports concerning the suitablility of siRNA in vivo is very limited compared with that of long dsRNA, which is thought to be more effective. There is insufficient information on the essential rules of siRNA design in insects, as very few siRNAs have been tested in this context. To establish an effective method of gene silencing using siRNA in vivo in insects, we determined the effects of siRNA on seven target genes. We designed siRNAs according to a new guideline and injected them into eggs of Bombyx mori. At the mRNA level, the expression of most of these genes was successfully silenced, down to less than half the constitutive level, which in some cases led to the development of distinctive phenotypes. In addition, we observed stronger effect of siRNA both on the mRNA level and the phenotype than that of long dsRNA under comparable conditions. These results indicate that direct injection of siRNA is an effective reverse-genetics tool for the analysis of embryogenesis in vivo in insects.     

Genome-wide identification and characterization of novel microRNAs in seed development of soybean

MicroRNAs (miRNAs) are important and ubiquitous regulators of gene expression in eukaryotes. However, the information about miRNAs population and their regulatory functions involving in soybean seed development remains incomplete. Base on the Dicer-like1-mediated cleavage signals during miRNA processing could be employed for novel miRNA discovery, a genome-wide search for miRNA candidates involved in seed development was carried out. As a result, 17 novel miRNAs, 14 isoforms of miRNA (isomiRs) and 31 previously validated miRNAs were discovered. These novel miRNAs and isomiRs represented tissue-specific expression and the isomiRs showed significantly higher abundance than that of their miRNA counterparts in different tissues. After target prediction and degradome sequencing data-based validation, 13 novel miRNA–target pairs were further identified. Besides, five targets of 22-nt iso-gma-miR393h were found to be triggered to produce secondary trans-acting siRNA (ta-siRNAs). Summarily, our results could expand the repertoire of miRNAs with potentially important functions in soybean.     

利用果蝇模型研究人类心脏早期发育的分子机理(英文)

近年来 ,果蝇心脏特化的遗传机制已初步研究清楚 ,但控制人类心脏早期发育的基因尚待鉴定。因为调控果蝇和脊椎动物早期心脏细胞命运定型的途径具有保守性 ,果蝇是一种探讨人类心脏早期发育的分子机理的理想动物模式。为此目的 ,我们采用P转座子和EMS诱变技术建立了约 3 0 0 0个隐性致死基因平衡系。通过心脏前体细胞特异性抗体免疫组化筛选 ,我们检出 2 0 0余个表现心脏突变表型的平衡致死系。我们进一步利用RNAi技术对一些基因的功能进行了初步的研究 ,证明这些基因表现RNAi的突变表型 ,该类突变表型与基因突变时表现的表型相似 ,即心管呈缺陷型或无心脏前体细胞形成。利用果蝇和人类基因组计划获得的成果 ,我们从果蝇心脏侯选基因中初步克隆和鉴定了 5 0个人类同源基因 ,其中 2 0个是新基因。Northen印迹分析表明 ,一部分人类基因在心脏组织中有表达 ,从而为研究这些基因在人类心脏早期发育中的作用提供了信息。目前 ,我们正在建立转基因果蝇 ,以此为模型研究这些基因是否对心肌细胞发生或心肌功能起调控作用。产生心肌细胞突变类型的基因如果类似于人类心脏病综合症 ,则可以作为人类心脏疾病侯选基因作进一步的分析。     

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.     

Designing siRNA that distinguish between genes that differ by a single nucleotide

Small interfering RNAs (siRNAs), the guides that direct RNA interference (RNAi), provide a powerful tool to reduce the expression of a single gene in human cells. Ideally, dominant, gain-of-function human diseases could be treated using siRNAs that specifically silence the mutant disease allele, while leaving expression of the wild-type allele unperturbed. Previous reports suggest that siRNAs can be designed with single nucleotide specificity, but no rational basis for the design of siRNAs with single nucleotide discrimination has been proposed. We systematically identified siRNAs that discriminate between the wild-type and mutant alleles of two disease genes: the human Cu, Zn superoxide dismutase (SOD1) gene, which contributes to the progression of hereditary amyotrophic lateral sclerosis through the gain of a toxic property, and the huntingtin (HTT) gene, which causes Huntington disease when its CAG-repeat region expands beyond approximately 35 repeats. Using cell-free RNAi reactions in Drosophila embryo lysate and reporter assays and microarray analysis of off-target effects in cultured human cells, we identified positions within an siRNA that are most sensitive to mismatches. We also show that purine:purine mismatches imbue an siRNA with greater discriminatory power than other types of base mismatches. siRNAs in which either a G:U wobble or a mismatch is located in the “seed” sequence, the specialized siRNA guide region responsible for target binding, displayed lower levels of selectivity than those in which the mismatch was located 3′ to the seed; this region of an siRNA is critical for target cleavage but not siRNA binding. Our data suggest that siRNAs can be designed to discriminate between the wild-type and mutant alleles of many genes that differ by just a single nucleotide.     

Screening of siRNA target sequences by using fragmentized DNA

BACKGROUND: RNA interference (RNAi) has become a powerful tool in silencing target genes in various organisms. In mammals, RNAi can be induced by using short interfering RNA (siRNA). The efficacy of inducing RNAi in mammalian cells by using siRNA depends very much on the selection of the target sequences. METHODS: We developed an siRNA target sequence selection system by first constructing parallel-type siRNA expression vector libraries carrying siRNA expression fragments originating from fragmentized target genes, and then using a group selection system. For a model system, we constructed parallel-type siRNA expression vector libraries against DsRed and GFP reporter genes. RESULTS: We carried out the first screening of groups containing more than 100 random siRNA expression plasmids in total for each target gene, and successfully obtained target sequences with very strong efficacy. Furthermore, we also obtained some clones that express dsRNAs of various lengths that might induce cytotoxicity. CONCLUSIONS: This system should allow us to perform screening for powerful target sequences, by including all possible target sequences for any gene, even without knowing the whole sequence of the target gene in advance. At the same time, target sequences that should be avoided due to cytotoxicity can be identified.     

Mouse gene trap approach: identification of novel genes and characterization of their biological functions.

The mouse gene trap strategy is an insertional mutagenesis involving an exogenous DNA, termed the trap vector, as a mutagen that produces a mutation in the mouse genome and a sequence tag to facilitate the isolation of the mutated genes. The trap vector consists of a reporter gene whose expression mimics that of the endogenous genes mutated and a selection marker that sorts cells bearing the inserted vector. Gene trap is a powerful method for identifying genes important in biological phenomena. Moreover, the method produces mutant organisms whose phenotypes provide invaluable information about the biological functions of the genes responsible for these phenotypes. Indeed, a number of genes essential for mouse embryogenesis have been identified by the gene trap method. Here, we describe the principle, results, and perspectives for applications of gene trap approach to the study of cell differentiation and lineage commitment.