Creative BioMart is committed to providing customers with high-quality and low-cost RNA-Seq (RNA sequencing) services. By combining Illumina (short read) and PacBio (long read) sequencing technologies, researchers are able to obtain a large number of bioinformatics-related data of transcriptomes from microbes, plants, animals and humans to facilitate your research.
The transcriptome generally refers to the sum of all RNAs transcribed by a cell or tissue in a particular state, including coding RNA (mRNA) and non-coding RNA (ncRNA, such as rRNA, tRNA, microRNA, etc.). Unlike the genome, transcriptome is more temporal and spatial. The expression of gene in a same cell is not exactly the same under different growth periods and growth environments. Therefore, transcriptome can reflect genes that are actively expressed under specific conditions. Current methods for transcriptome study are based primarily on hybridization technology and sequencing technology. Among them, RNA-Seq can detect overall transcriptional activity of a particular species at the single nucleotide level, so that almost all transcript information of the species in a certain state can be obtained comprehensively and rapidly. Since transcriptome sequencing can accurately detect a large amount of information on all RNA transcripts, it has a wide range of applications. RNA-seq can be applied to multiple fields. (1) Detection of new transcripts, including unknown transcripts and rare transcripts. (2) Study of gene transcription level, such as gene expression level and differential expression between different samples. (3) Function study of non-coding region, such as microRNA, long non-coding RNA (lncRNA), and RNA editing. (4) Study of transcript structural variation, such as alternative splicing and gene fusion. (5) Development of Simple Sequence Repeat (SSR) and Single Nucleotide Polymorphism (SNP).
RNA-seq Procedures
After extracting the total RNA from samples, it is isolated and purified according to the type of RNA tested. RNA is then fragmented to the desired length, ligated to the sequencing link after reverse transcription, and amplified by PCR to achieve a certain abundance and sequencing on the machine until sufficient sequence is obtained. The resulting sequences form a genome-wide transcriptional profile by alignment with the reference genome or de novo assembly.
Figure 1. Schematic of RNA-seq Procedures
Advantages of RNA-seq
Our subordinate RNA-seq service includes:
mRNA Analysis Sequencing Service
Directly detect all mRNAs of particular sample in a certain state by high-throughput sequencing. While obtaining gene expression information, it is also possible to obtain more comprehensive transcriptome information, including speculating mRNA structure, recognizing variable splicing sites and SNPs, and parsing RNA editing.
Small Non-coding RNA Sequencing Service
Utilize high-throughput sequencing technology to obtain millions of small RNA sequence information with single base resolution at one time. Rely on powerful bioinformatics analysis platform to identify known sRNAs and predict new sRNAs and their target genes.
Long Non-coding RNA Sequencing Service
Through high-throughput sequencing, lncRNA can be screened extensively and rapidly in total RNA, as well as annotated and functionally predicted. It can be applied to research of cell differentiation and development, study of regulatory mechanisms, search for disease marker, molecular diagnosis of disease, and research and development of genetic drugs.
With professional bioinformatics capability, Creative BioMart offers high-quality RNA-seq Profiling Services in the whole transcriptome to ultimately expedite epigenetic research. If you have additional requirements or questions, please feel free to contact us.
References
1. Marioni, J. C.; et al. RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. Genome Research. 2008, 18(9): 1509-1517
2. Korf, L. Genomics: the state of the art in RNA-seq analysis. Nature Methods. 2013, 10, 1165-1166.
3. Haque, A.; et al. A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications. Genome Medicine. 2017, 9: 75.
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