Chapter title |
Method for the Large-Scale Identification of phasiRNAs in Brachypodium distachyon
|
---|---|
Chapter number | 14 |
Book title |
Brachypodium Genomics
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7278-4_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7276-0, 978-1-4939-7278-4
|
Authors |
Kun Yang, Xiaopeng Wen, Gaurav Sablok, Yang, Kun, Wen, Xiaopeng, Sablok, Gaurav |
Abstract |
Postranscriptional regulation has been widely shown to be regulated by several classes of small non-coding RNAs; most abundantly, microRNAs, which have been shown to be the first dominant class and has been widely characterized as post-transcriptional regulators. In addition to microRNAs, triggered by miRNAs, transcripts called as PHAS (or TAS) generate abundant class of small RNAs in 21-nt manner, which is a pattern formed by DICER-LIKE 4 (DCL4) processing. Although PHAS can be identified by aligning transcripts to reported PHAS in other species, the most sensitive and accurate way to discovery them is by mapping of the smallRNAs taking into account the transcript coordinates. Here, we describe a workflow that can be used for the identification PHAS and corresponding phasiRNAs in Brachypodium distachyon using publically availabe smallRNAs datasets. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 1 | 50% |
Unknown | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 50% |
Unknown | 1 | 50% |