Rna storage reagent
The RNA storage reagent is a solution designed to preserve and stabilize RNA samples. It prevents degradation of RNA molecules, ensuring their integrity for downstream applications.
4 protocols using rna storage reagent
Developmental and Tissue-Specific Expression Profiles in Bactrocera dorsalis
Multistage Insect Development and Tissue-Specific Sampling
Samples at different developmental stages, including early larvae (EL, <24 h post-hatching), late larvae (LL, older than fourth instar larvae and before prepupae), pupae (PU, >48 h post-pupation), early adults (EA, <24 h post-eclosion), and late adults (LA, one week old) were collected separately and stored at −80 °C. In the tissue-specific experiment, the fifth instar larvae were used for tissue isolation. The integument, fat body, gut, and carcass of L. serricorne were dissected under a stereomicroscope (Olympus SZX12, Tokyo, Japan). Each tissue type was placed in a 1.5-mL centrifuge tube containing RNA storage reagent (Tiangen, Beijing, China). Pools of 30 individuals of larvae were used to prepare the integument, gut, and carcass, and 50 individuals were pooled to collect the fat body tissue. All tissue samples were immediately frozen in liquid nitrogen and stored at −80 °C. Each sample was replicated three times.
Tissue-Specific Expression Analysis
Total RNA was extracted from each sample using the TRIzol reagent (Invitrogen, Carlsbad, CA, United States) and treated with DNase I (Promega, Madison, WI, United States) to prevent potential genomic DNA contamination. First-strand cDNA was synthesized using the GoScript Reverse Transcription System (Promega) according to the manufacturer’s instructions.
RNA-seq Analysis of Mammary Tumors
All statistical analyses were performed by using R v3.3.1. After removing transcriptionally inactive genes (read counts per million were < 1), the high-confidence gene counts were obtained. For gene expression analysis, the matched reads were calculated and normalized to RPKM using RESM software [19 (link)]. The R package edgeR v3.18.1 was used to perform statistical analyses on the gene counts and to detect differentially expressed genes (DEGs). DEGs at each stage were used for further analyses of GO (gene ontology), biological processes and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways using the R package clusterProfiler v3.4.4 [20 ]. The heatmap of the immune-related differentially expressed genes was constructed using the R package pheatmap v1.0.8.
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