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How can transcriptome data be used to explore gene function?
Transcriptomics is the analysis of any RNA species present in a cell, should it be mRNA, small RNA or any other non-coding RNA. The transcriptome data gives researchers a good place to start in the search for a new gene's function. For example, if the transcriptome database shows a gene's expression levels are dramatically higher in cancer cells than in healthy cells, it is possible that the unknown gene may play a role in cell growth. Or if a gene is expressed in fat tissue, but not in bone or muscle tissue, the unknown gene may be involved in fat storage or metabolism.
Small RNA sequencing is a powerful application for NGS Sequencing, enabling the discovery and profiling of microRNAs and other non-coding RNA on any organism, without prior genome annotation. Using low RNA inputs, you can profile the differential expression of known microRNAs, as well as detect novel micro RNA targets and wide-ranging sequence variation or "iso-miRs" miRBase accessions.Using next-generation sequencing, transcriptome sequencing allows to detect and identify nearly every class of molecules that is transcribed — from the short microRNA to the longer 5' and 3' untranslated regions to the longest, full-length mRNA. Before sending the samples please check:
- total RNA Quality: RIN greater than 8.0
-total RNA Quantity: 10-20ug. Minimal concentration of 200ng/uL
We will deliver data for your projects of:
• mRNA transcript-expression analysis (full-length mRNA, expressed sequence tags (ESTs) and ditags),
• novel gene discovery,
• gene space identification in novel genomes,
• insertion-deletion and splice-variant discovery,
• analyses of allele-specific expression and chromosomal rearrangement.
• Small RNA sequencing;
• Total RNA sequencing:
