$499 Only to Profile the Major Small RNA Classes Simultaneously

- miRNA, pre-miRNA, tRNA, tsRNA, and snoRNA

Small RNAs include miRNAs, pre-miRNAs, tsRNAs, tRNAs and snoRNAs. Even though RNA-seq has been used for profiling small RNAs, we need to overcome several major challenges unique to these small RNA classes in order to accurately profile their whole spectrum, especially for samples at limited amount.

• Interference from RNA Modifications

Small RNA modifications (e.g. m1A, m3C and m1G, particularly heavily in tRNAs and tsRNAs) block reverse transcription, causing failures in constructing full length unskewed representation of the sequencing library.

•  Library Amplification Biases

RNA G/C content, sequence contexts, secondary structures, RNA lengths, priming, and reaction conditions can lead to biases and distortions in the PCR amplification of the sequencing library [1].

• Distortions in Small RNA-seq Data Analysis using TPM

TPM, a commonly used measure in small RNA-seq data analysis, is dependent on the composition of the RNA population in a sample[2,3] (Fig 1), which may mislead differential analysis of small RNAs.

• Sample Amounts Required

For small RNA-sequencing of tRNA and tsRNA, 5ug or even more total RNA is required for target RNA isolation and pretreatments [5], which precludes research projects with limited sample amount availability.

Fig 1.A few very highly expressed genes can skew the distribution of TPM expression values [4].

Our Solution

Arraystar Small RNA Array is designed to overcome these challenges to profile the full spectrum of small RNAs at high sensitivity and accuracy, yet requiring much less sample RNA amounts. It combines direct end-labeling and smart probe design microarray technologies to detect and quantify miRNAs, pre-miRNAs, tsRNAs, tRNAs and snoRNAs simultaneously on the same array, opening up more opportunities for exploring their biomarker potentials.

1. Offer Valid 06/01/2024 - 09/30/2024.
2. May not be combined with any other promotions or discounts.
3. Minimum order: 6 samples. Sample requirements: 1 ug total RNA in good quality
4. Offer only valid for direct purchase from Arraystar Inc.

• Epitranscriptomic Array
   [PMID: 38355624] Xiong YW, et al.
   (2024) Nature Communications

• tRNA Sequencing
   [PMID: 38519786] Wu X, et al.
   (2024) Nature Cancer

• Circular RNA Array
   [PMID: 37004067] Zhong GL, et al.
   (2023) Molecular Cancer

• m6A Single Nucleotide Array
   [PMID: 36631441] Yan W, et al.
   (2023) International Journal of Oral
    Science

Non-coding RNA World 2024
Exploring Mechanisms, Designing Medicines October 7-9, 2024 Basel, Switzerland

Non-Coding RNA Biology
New Roles and Diversity January 27-30, 2025 Keystone, CO, USA

R-loop Profiling
provides valuable functional insights in transcriptional regulation by LncRNA/mRNA organized R-loops.

30% OFF RNA Sequencing w/ Rich Analysis
From sample to data - a single quote with one price.

Valid 07/15/2024 - 09/30/2024
Request Quote

$499 Only to Profile the Major Small
RNA Classes Simultaneously
- miRNA, pre-miRNA, tRNA, tsRNA, and snoRNA

Valid 06/01/2024 - 09/30/2024
Request Quote