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Metadata

Name
Next Generation Sequencing Facilitates Quantitative Analysis of in 14-day-old wt, brm-1, brm-3, brip1, brip2, brip1 brip2, brip1 brip2 brm-3 and brip1 brip2 brm-1 seedlings.
Repository
Gene Expression Omnibus
Identifier
geo.series:GSE142622
Description
Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis
Methods: RNA from 14-day-old seedlings of wild-type, brip1, brip2, brm-3, brm-1, brip1 brip2, brip1 brip2 brm-3 and brip1 brip2 brm-1 was isolated using the RNAprep Pure Plant Kit as described above. RNAs from three biological replicates was sequenced separately at Novogene, using Illumina Hiseq X-Ten (Sequencing method: Hiseq-PE150).
Results: Reads were mapped to the TAIR10 Arabidopsis genome using TopHat (Galaxy V2.1.1 in usegalaxy.org) with default settings, except that a minimum intron length of 20 bp and a maximum intron length of 4,000 bp were required (Paired-end). Then, mapped reads were assembled according to TAIR10 version of genome annotation using cufflinks (version 2.1.1) with default settings. To analyze differential expression, the assembled transcripts from three independent biological replicates in Col and other mutants were included and compared using Cuffdiff (version 2.1.1) with default settings.
Conclusions: Our study represents the first detailed analysis of brip1, brip2, brip1 brip2 transcriptomes, with biologic replicates, generated by RNA-seq technology.
Data or Study Types
Expression profiling by high throughput sequencing
Source Organization
National Center for Biotechnology Information
Access Conditions
available
Year
2020
Access Hyperlink
http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GSE142622

Distributions

  • Encoding Format: TXT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE142622/matrix/
  • Encoding Format: MINiML ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE142622/miniml/
  • Encoding Format: SOFT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE142622/soft/
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.