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Next Generation Sequencing Facilitates Quantitative Analysis of in 14-day-old wt and val1 val2 pkl seedlings.

ABSTRACT: 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 and pkl 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 5,000 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. 14-day-old seedling of WT and val1 val2 pkl were performed RNA-seq to analyzed their differential expression genes in Arabidopsis.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE186156 | GEO | 2022/12/12

REPOSITORIES: GEO

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Next Generation Sequencing Facilitates Quantitative Analysis of in 14-day-old wt and pkl seedlings.

Project 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 and pkl 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 5,000 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. 14-day-old seedling of WT and pkl were performed RNA-seq to analyzed their differential expression genes in Arabidopsis.

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Project 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.

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