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Sample GSM4188539 Query DataSets for GSM4188539
Status Public on Mar 06, 2020
Title DS10:A4a transgenic seeds
Sample type SRA
 
Source name Seeds
Organism Nicotiana tabacum
Characteristics tissue: Seeds
time: 1 dpi
genotype/variation: DS10:A4a
Treatment protocol For sequencing, which was performed twice for each RNA sample, we used in each case equimolecular mixtures of 4, replicate RNA samples were prepared from corresponding pairs of transgenic (T: 35S:A9, DS10:A9 or DS10:A4a), and sibling non-transgenic (NT) lines
Growth protocol Tobacco (Nicotiana tabacum L. var. Xanthi) was used for all experiments. Seed sterilization, germination and seedling growth under controlled photoperiodic illumination conditions of 16 h light/8h dark, and 100 µmol m-2 s-1 fluence intensity for white-light, were as previously described (Prieto-Dapena et al., 2017 and references therein).
Extracted molecule total RNA
Extraction protocol Total RNA samples were prepared by the LiCl method from 3-week old seedlings (in the 35:A9 experiment), or from seeds (in the DSA10:A9 and DS10:A4a experiments)
Library preparation and sequencing on an Illumina HiSeq 4000 sequencer using 100-bp paired-end reads protocol were performed by BGI Co., Ltd (https://en.genomics.cn/). Agilent 2100 Bioanaylzer and ABI StepOnePlus Real-Time PCR were used in quantification and in qualification of the sample libraries.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 4000
 
Data processing Sequenced reads were trimmed to remove adaptor sequences, and masked to remove low-complexity or low-quality sequence (reads in which N bases were more than 5% abundant, or base quality was lower than 15 for more than 20% of the bases were removed)
The sequenced "clean reads" from each sample (at least 4.44 Gb bases) were mapped to a Nicotiana tabacum reference genome using HISAT (v0.1.6-beta) with default parameters except for: --phred64 --sensitive --no-discordant --no-mixed -I 1 -X 1000
Novel transcripts prediction was performed using StringTie (v1.04) with default parameters except for: -f 0.3 -j 3 -c 5 -g 100 -s 10000 -p 8
CuffCompare (v2.2.1) with default parameters except for -p 12 was used to compare reconstructed transcripts to reference annotation, and coding potential of novel transcripts ('u','i','o','j' CuffCompare class code types) was predicted using CPC (v0.9-r2) with default parameters
The coding novel transcripts were merged with the reference Nicotiana tabacum transcriptome to get a complete reference to be used in gene expression analyses
Clean reads were mapped to the complete reference using Bowtie2 (v2.2.5) with default parameters except for -q --phred64 --sensitive --dpad 0 --gbar 99999999 --mp 1,1 --np 1 --score-min L,0,-0.1 -I 1 -X 1000 --no-mixed --no-discordant -p 1 -k 200
Gene expression levels for each sample were calculated with RSEM (v1.2.12) with default parameters
Using PoissonDis (Poisson Distribution), the expression results were analyzed to detect Differentially Expressed Genes (DEG) between the corresponding pairs of non-transgenic and transgenic samples. We considered genes with a Fold Change (Log2) > 1.5 as DEG
Genome_build: Nicotiana tabacum (Ntab-BX_AWOK-SS.fa.gz/Ntab-BX_AWOK-SS_Basma.mrna.annot.fna)
Supplementary_files_format_and_content: Processed tables showing the functional annotation of genes, the gene expression levels per condition and the output of the differential gene expression analyses bvetween each pair of conditions
 
Submission date Nov 22, 2019
Last update date Mar 06, 2020
Contact name Jose Luis Ruiz Rodriguez
Organization name IPBLN-CSIC
Street address Avda. del Conocimiento 17. P. T. Ciencias de la Salud
City Granada
State/province Granada
ZIP/Postal code 18016
Country Spain
 
Platform ID GPL25653
Series (1)
GSE140837 Next Generation Sequencing analysis of the effects of seed HSF (HaHSFA9 or HSFA4a) overexpression in transgenic tobacco
Relations
BioSample SAMN13352625
SRA SRX7201999

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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