Project description:Small nucleolar RNAs (snoRNA) function in guiding 2'-O-methylation and pseudouridylation of ribosomal RNAs. But we found that knock down of a C/D box snoRNA, Bm-15, can induce apoptosis of insect Spodoptera frugiperda Sf9 cells. For the genome sequence of Spodoptera frugiperda is incomplete, here with the de novo sequencing method, transcriptome of Spodoptera frugiperda cell line Sf9 were sequenced after being transfected with overexpression vector and repression probes of snoRNA Bm-15. Results showed that 21 apoptosis-related genes were up-regulated upon Bm-15 inhibition and down-regulated with Bm-15 overexpression.
Project description:System level knowledge of host alterations is crucial to elucidate the molecular events of viral pathogenesis and to develop strategies to block viral establishment and amplification. Here, we applied quantitative proteomics approach to study global proteome changes in the host; Spodoptera frugiperda upon infection by a baculovirus, Spodoptera litura NPV at two stages i.e. 12h and 72h post infection. At 12hpi, >95% of host proteins remained stable, however at 72hpi, 52% host proteins exhibited downregulation of 2-fold or more. Functional analysis revealed significant upregulation of transposition and proteasomal machinery while translation, transcription, protein export and oxidative phosphorylation pathways were adversely affected. An assessment of perturbed proteome after viral infection and viral miRNAs expression led to the identification of 117 genes that are potential targets of 10 viral miRNAs. Using miRNA mimics, we confirmed the down regulation of 9 host genes. The results comprehensively show dynamics of host responses after viral infection.
Project description:This SuperSeries is composed of the following subset Series: GSE16775: Effect of HdIV or MdBV injection on the Spodoptera frugiperda hemocyte transcriptome GSE16776: Effect of HdIV or MdBV injection on the Spodoptera frugiperda fat body transcriptome Refer to individual Series
Project description:We report the application of whole transcriptome sequencing technology for high-throughput profiling of coding and non-coding RNAs associated with Spodoptera frugiperda feeding in Zea mays. 4,366 mRNAs and 233 lncRNAs were differentially expressed during Spodoptera frugiperda feeding in Zea mays. Our data contribute to the understanding of the function of coding and non-coding RNAs in the regulation of plant-insect interactions.
Project description:Background: Cervical lymph node metastasis is a potent prognostic factor in oral squamous cell carcinoma (OSCC). However, lymph nodes resected by sentinel node biopsy or neck dissection are usually diagnosed by examining only one or two sections of the maximal cut surface. Accurate diagnosis of the metastasis in lymph nodes is important but depends on a heavy workload of the pathologist. In this study, we have attempted to identify novel molecular markers to find the harboring cancer cells in the lymph node and establish rapid detection method. Methods: We determined the gene expression profiles of 7 metastatic lymph nodes from patients with OSCC and 1 normal lymph node and 5 salivary glands from non-cancerous patients by microarray analysis. We found the overexpression genes in all metastatic lymph nodes. Subsequently, we examined the expression of these genes in newly 23 metastatic lymph nodes and 9 normal lymph nodes by real-time quantitative RT-PCR (qRT-PCR) assay. Moreover, the rapid detection of lymph node metastasis by these genes was examined using the reverse transcription loop-mediated isothermal amplification (RT-LAMP) method. Result: Among the 4 genes identified by microarray analysis, annexin A8 (ANXA8) and desmoglein 3 (DSG3) were detected in all metastatic lymph nodes at a much higher level but not in normal lymph nodes at all by qRT-PCR. Furthermore, RT-LAMP method targeting ANXA8 rapidly detected almost lymph nodes with metastasis. Conclusions: ANXA8 could be a useful marker for detecting lymph node metastasis in OSCC. Using AB1700 system, we determined the gene expression profiles of lymph nodes with metastasis of OSCC. Normal lymph node and salivary gland tissues were used as control samples.
Project description:In this study, NanoString technology gene expression quantification platform was used to study the expression of toxin genes causing infections from Bacteria (Photorhabdus and Xenorhabdus), Nematode (H.indica, S.riobrave , S.carpocapsae) specific genes for detection and Immune related genes from the infected insects (Spodoptera frugiperda and Galleria mellonella). The study revealed the expression of different immune related genes from the infected insects (Spodoptera frugiperda and Galleria mellonella) and helped in understanding the trend of expression of gene in the samples from the healthy condition to the death stage. Variations in gene expression were seen as per the expectation.
Project description:Purpose: We analyzed the 3rd-instar Spodoptera frugiperda response after SfAV-1a infection. Specifically, we targeted three gene types in the infected host namely, mitochondrial, cytoskeleton and innate immunity genes.
