RNA Next Generation Sequencing



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RNA Next Generation Sequencing

RNA next-generation sequencing (RNA-Seq) is used to reveal the presence and amount of RNA in biological samples at a given time, thereby analyzing the ever-changing cellular transcriptome. IntegrateRNA, one of the first companies with autologous RNA sequencing platform, is dedicated to helping our clients use RNA-Seq to view alternative gene splicing transcripts, post-transcriptional modifications, gene fusions, mutations/SNPs, and gene expression over time or differences in gene expression in different groups or treatments.

In addition to mRNA transcripts, we are also able to help you study different RNA populations, including total RNA, lncRNA, circRNA, miRNA, tRNA, and ribosomal profiles. RNA-Seq can also be used to determine exon/intron boundaries and validate or modify previously annotated 5' and 3' gene boundaries.

The strategy of RNA-Seq is briefly described as below

RNA Next Generation Sequencing

The basic next-generation sequencing (NGS) process involves dividing the nucleic acid fragments into multiple fragments, adding adaptors, sequencing the libraries, and then reassembling them to form genomic sequences. NGS sequenced millions of segments in a massively parallel manner, increasing speed and accuracy while reducing sequencing costs.

The advantage of RNA-Seq with NGS

  • A wider dynamic range and more sensitive and accurate measurement of gene expression
  • Capturing known and novel features
  • Applied to any species, even without a reference sequence
  • Higher value, lower price than many arrays

RNA-Seq with NGS is increasingly becoming the preferred method for researchers studying transcriptomes.

RNA-Seq can be applied to a wide range of scientific issues, such as

  • Gene expression profiles between samples (differential expression analysis);
  • Study other splicing events related to the disease

    ➢ Exceptional inclusion/exclusion of exons in RNA products processed after splicing of precursor RNA fragments

  • Allele-specific expression, disease-associated single nucleotide polymorphisms (SNPs) and gene fusions are identified to understand, for example, disease causal variants in cancer.

RNA-Seq is widely used in disease research, drug response research, pharmacokinetics and personalized health research.

Compared with microarray

RNA-Seq RNA Microarray
Detection methodsHigh-throughput sequencingHybridization
Reference genome requiredNot necessaryNecessary
SignalCounts of readsRelative intensities
ResolutionSingle nucleotideProbe length
High throughputYesYes
High reproducibleYesYes
Novel gene and isoform detectionYesNo
SNP detection in the transcribed regionsYesNo
Dynamic range of expression levelsHighLow

IntegrateRNA provides a complete solution for transcriptome sequencing using state-of-the-art autonomous sequencing platforms and paired-end 150 bp sequencing strategies. Long read lengths ensure excellent data quality and accurate sequence assembly. Our experienced bioinformatics partners work closely with clients to provide standard and customized data analysis and release preparation results for species with or without reference genomes. If you have any question, please feel free to contact us.

Relative Services

For research use only. Not intended for any clinical use.
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