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Cooperative miRNA Target Prediction and GO & Pathway Analysis

Cooperative miRNA Target Prediction In an attempt to highlight potentially significant targets of differentially expressed miRNAs, we identify cooperative miRNA targets for multiple enriched miRNAs using Arraystar’s proprietary miRNA target database (Figure 1). Since a lot of genes are predicted to be targets of numerous miRNAs, miRNA targets are weighted based on their total number

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microRNA Sequencing Data Analysis Guideline

The high throughput sequencing technique provides high sensitivity and specificity to analyze the abundance of microRNA sequence in a sample as well as to discover novel microRNA species. Arraystar offers Integrated microRNA Sequencing Service from sequencing library preparation to comprehensive data anlaysis. Our data analysis process generally consists of the following steps, raw data processing, usable reads filtering (including 3′ adapter trimming

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Why to Study piRNAs?

Introduction Piwi-interacting RNAs (piRNAs) are the largest class of single stranded, small non-coding RNAs of about 26-32 nucleotides in length. piRNAs interact with the Piwi (P-element Induced Wimpy Testis) subfamily of Argonaute proteins. The Piwi subfamily comprises Piwi, Aubergine and AGO3 in flies, MILI, MIWI and MIWI2 in mice, and HILI, HIWI1, HIWI2 and HIWI3

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The New Life of tRNAs – From Passive Translators to Active Regulators

tRNAs are thought of as abundant, ubiquitous, passive mRNA decoders and protein translators. tRNAs carrying the same amino acid are “isoacceptors”, whereas tRNAs with the same anticodon but different body sequences are “isodecoders”. Surprisingly, the latest scientific advances have found tRNA isoacceptors and isodecoders endowed with specific, non-translational, regulatory functions that can profoundly impact the

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How to Achieve High tRNA cDNA Synthesis Efficiency?

tRNAs undergo by far the greatest number of and the most chemically diverse post-transcriptional modifications, which badly affect tRNA cDNA synthesis efficiency. Methylation, one of the most prevalent modifications, is the main obstacle that hinders transcriptional elongation and thus leads to non-effective cDNA conversion and qPCR. By using an excellent RNA demethylase, Arraystar developed rtStar™

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The Biases of Using TPM in Small RNA Sequencing Data Analysis

The Challenges and Solutions of Small RNA Profiling The Biases of Using TPM in Small RNA Sequencing Data Analysis Simultaneously Profile Multiple Small RNA Classes Accurately Direct End-labeling to Avoid the Biases From Sequencing Library Prep The comparison of small RNA transcript levels between samples using TPM in small RNA-sequencing (small RNA-seq) is actually meaningless. In small

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Direct End-labeling to Avoid the Biases From Sequencing Library Prep

The Challenges and Solutions of Small RNA Profiling The Biases of Using TPM in Small RNA Sequencing Data Analysis Simultaneously Profile Multiple Small RNA Classes Accurately Direct End-labeling to Avoid the Biases From Sequencing Library Prep To fluorescently label small RNAs for microarray profiling, the total RNA is treated with T4 polynucleotide kinase (T4 PNK) to remove

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