test of small rna sequencing repeatability in rice

test of small rna sequencing repeatability in rice

;Sun Hong-zheng;Peng Ting;Zhang Jing;Li Jun-zhou;Du Yan-xiu;Zhao Quan-zhi
تحقیقات سلامت در جامعه 2017 Vol. 24 pp. 56-60
206
hong-zheng2017ricetest

Abstract

Deep sequencing of small RNAs (sRNA) is widely used in sRNAs studies in plants. In order to investigate the sequencing frequency variation of sRNAs, the same sRNA samples from rice grains were sequenced twice using deep sequencing technique. The sRNAs were classified into three categories, high abundance (> 100 RPM), medium abundance (10–100 RPM) and low abundance (1–10 RPM). According to the repeat sequencing data of the same sample, highly expressed sRNAs (> 100 RPM) were less subject to random drift, and 95% of the sRNAs Log2 ratio between two samples fell between -0.649 and 0.558. The same trend was observed in mediumly expressed sRNAs (10–100 RPM), and 95% of the Log2 ratio fell between -0.535 and 0.759. As to lowly expressed sRNAs (1–10 RPM), 95% of the Log2 ratio varied between -1.009 and 1.011. These results can be used as a theoretical guide to find differentially expressed sRNAs in sRNA studies in plants.

Citation

ID: 210532
Ref Key: hong-zheng2017ricetest
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
210532
Unique Identifier:
10.1016/j.rsci.2016.06.008
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet