Long Non-coding RNA Sequencing (LncRNA-Seq) Service

LncRNAs LncRNA-seq Workflow Samples Data Advantages Q&As Resource

Long noncoding RNA (lncRNA) has gained widespread attention as a potentially crucial layer of biological regulation. The rapid development of next-generation sequencing (NGS) technology has deepened the understanding of transcriptome. Based on our advanced SuPrecision™ platform, Creative Biolabs has accumulated extensive experience in cancer lncRNAs sequencing (lncRNA-seq). We are proud to introduce our professional service of cancer lncRNA-seq to all our global customers.

What Are LncRNAs?

Non-coding RNAs make up the majority of the transcriptome, and several different classes of regulatory RNA with important functions are being discovered. Long non-coding RNAs are a type of non-coding RNAs that exceed 200 nucleotides in length, which leads to the gene number duplicated in the databases. Through genome-wide human transcriptional studies, more and more new non-coding RNAs have been found. The non-code database includes more than 73,370 lncRNAs from 1,229 organisms. More than 50,000 new RNA transcripts have been found for the human genome in different tissue and cell types, most of which are lncRNAs. LncRNAs are a relatively abundant component of the mammalian transcriptome and have been implicated in several cellular functions, including the regulation of gene transcription through the recruitment of chromatin-modifying enzymes. LncRNAs often form relatively stable secondary and higher-level structures, which allows their participation in cellular organization and regulation, such as DNA replication, RNA transcription, protein translation, cell development, and cell differentiation.

The Importance of LncRNA-seq

Dysregulated expression of lncRNAs has been shown to be associated with a broad range of defects in cancers. Understanding the significance of this lncRNAs world is one of the most important challenges facing biology today. The rapid development of sensitive, high-throughput NGS has resulted in an unprecedented ability to detect novel transcripts, the vast majority of which seem not to be derived from annotated protein-coding genes. LncRNA-seq will be a crucial method for understanding the roles they play in many cancers.

Long Non-coding RNA Sequencing (LncRNA-seq) Service Fig.1 The models of lncRNA structure mediated epigenetic regulation (Wang et al. 2017).

Work Flow of LncRNA-seq at Creative Biolabs

  • LncRNA-seq workflow. (Creative Biolabs Original)
    Total RNA

  • LncRNA-seq workflow. (Creative Biolabs Original)
    Removal
    of
    rRNA
  • LncRNA-seq workflow. (Creative Biolabs Original)
    Strand-specific library preparation
  • LncRNA-seq workflow. (Creative Biolabs Original)
    Sequencing

  • LncRNA-seq workflow. (Creative Biolabs Original)
    Data analysis

Sample Preparation:

  • RNA sample concentration ≥100 ng/μL
  • RNA sample amount ≥1.5 μg
  • Purity: OD260/280 = 1.8~2.2, no degradation, no DNA contamination

Data Volume for Delivery:

  • 12Gb clean data for normal-depth sequencing
  • 24Gb clean data for high-depth sequencing

Key Advantages of Cancer LncRNA-seq Service Include but Are Not Limited to:

  • Extensive experience with thousands of samples successfully sequenced
  • Unsurpassed data quality with a guaranteed Q30 score ≥ 80%
  • Powerful bioinformatics tools for lncRNA-seq analysis
  • Highly professional Ph.D. level scientists
  • Fast turnover time

Enriched experience associated with state-of-the-art facilities, Creative Biolabs offers top-quality service of cancer lncRNA-seq to satisfy each demand from our customers in a time-saving manner.

Please contact us for more information and a detailed quote.

Reference

  1. Wang, Chenguang, et al. "LncRNA structural characteristics in epigenetic regulation." International Journal of Molecular Sciences 18.12 (2017): 2659. Distributed under open access license CC BY 4.0, without modification.

Q&As

Q: How does lncRNA-Seq differ from traditional RNA sequencing?
A: LncRNA-Seq specifically targets long non-coding RNAs, whereas traditional RNA sequencing primarily focuses on protein-coding mRNAs. LncRNA-Seq employs strand-specific protocols to accurately capture the strand orientation of transcripts, which is essential for distinguishing overlapping genes and antisense transcripts.
Q: How does lncRNA-Seq help in identifying novel lncRNAs?
A: LncRNA-Seq enables the discovery of novel lncRNAs by providing high-resolution data on the entire transcriptome. This includes identifying new transcripts, splice variants, and non-coding RNAs that were previously unannotated, thus expanding the understanding of the non-coding RNA landscape in cancer.
Q: What bioinformatics tools are used in lncRNA-Seq data analysis?
A: Common tools include Kallisto and Salmon for pseudoalignment, and RSEM, HTSeq, and featureCounts for alignment-based quantification. These tools help in accurately quantifying lncRNA expression and identifying differentially expressed lncRNAs in cancer samples.
Q: Can lncRNA-Seq be integrated with other omics data?
A: Yes, lncRNA-Seq can be integrated with other omics data, such as genomics, epigenomics, and proteomics, to provide a comprehensive view of the molecular landscape in cancer. This multi-omics approach enhances the understanding of lncRNA functions and their role in cancer.
Q: How does lncRNA-Seq enhance the understanding of gene regulation in cancer?
A: LncRNA-Seq reveals how lncRNAs interact with DNA, proteins, and other RNAs to regulate gene expression. This understanding helps elucidate the mechanisms by which lncRNAs influence cancer cell behavior, providing insights into potential regulatory pathways and targets for intervention.

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Note: Our sequencing services are for Research Use Only. Not For Clinical Diagnosis.
Related Services:
  1. mRNA Transcriptome Sequencing (mRNA-Seq) Service
  2. Small RNA Sequencing Service
  3. Circular RNA Sequencing (CircRNA-Seq) Service
  4. Exosome RNA Sequencing Service
  5. Ultra Low Input RNA Sequencing Service
  6. RNA Sequencing for Formalin-Fixed Paraffin-Embedded (FFPE) Tissue
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