Transcriptome research is the basis and starting point of gene function and structure research. Through second-generation high-throughput sequencing, it obtains almost all transcript sequence information of a certain tissue or organ of a certain species in a certain state, so as to accurately analyze gene expression differences, discovery new transcripts, gene structure variation, gene fusion, RNA editing and other important issues in life sciences. It has been widely used in basic research, clinical diagnosis and drug development.
Advantages
Access to known transcript and new transcript information, and quantitative analysis of variable shear
Four differential algorithms, differential gene results are more practical
A variety of customized analysis for more enriched article results
Bioinformatics Analysis
RiboBio can provide multiple bioinformatics analysis services including bascis and advanced analysis services, welcome to contact order@ribobio.com to know more about it.
FAQs
1. How to extract mRNA with polyA?
PolyA-Seq is a high-throughput sequencing method based on eukaryotic mRNAs with a polyA tail structure at the 3′ end and the enrichment of mRNA library construction in total RNA using oligo dT. PolyA-Seq is applicable for the studies of mRNA and other RNA with polyA structures.
2. What are the recommendations for preparing RNA samples from human, plant, animal, yeast and other sources?
The quality of RNA extraction depends mainly on the freshness of the sample itself. In addition, for most animal and plant tissues and cell samples, Invitrogen’s Trizol reagent helps with better extraction results, please refer to the instructions.
3. How to determine the amount of mRNA sequencing data?
The amount of data is mainly based on species evolution levels, genome size, research purposes, and published articles. The recommended amount of RNA sample data is related to different levels of expression and different sampling (tissue, cells, blood, etc.), and the number of transcriptome sequencing data is advised to set from 2G. The actual amount should be applied according to the research purpose, budget and other factors.
4. Any principles or recommendations for the selection of reference sequences?
It is best to have the whole genome of the species and its annotation information, including the genomic sequence, gene sequence or GFF file, as a reference sequence; if the species being tested is unknown, near-source species are recommended to be used as the reference sequence, only that this may result in a low mapping rate of sample reads and reference sequence and affect the subsequent analysis. To confirm if the species being tested is known, or if the reference sequence is complete, please provide the Latin name of the species.
