|
| Status |
Public on Jan 12, 2023 |
| Title |
CK1 |
| Sample type |
SRA |
| |
|
| Source name |
Sugar beet leaves, well-watered
|
| Organism |
Beta vulgaris |
| Characteristics |
tissue: leaves
genotype: KWS9147
treatment: Well-watered
|
| Extracted molecule |
total RNA |
| Extraction protocol |
Total amounts and integrity of RNA were assessed using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, CA, USA).
Strand-specific libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations and index codes were added to attribute sequences to each sample.
|
| |
|
| Library strategy |
RNA-Seq |
| Library source |
transcriptomic |
| Library selection |
cDNA |
| Instrument model |
Illumina NovaSeq 6000 |
| |
|
| Data processing |
Reference genome and gene model annotation files were downloaded from genome website directly
Stringtie-1.3.3b was used to count the read numbers mapped to each gene.
Differential expression analysis of two conditions/groups was performed using the edgeR.
Assembly: beta_vulgaris_Ensembl_44
Supplementary files format and content: filterstat.txt
Supplementary files format and content: transcripts.FPKM.xlsx
|
| |
|
| Submission date |
Jun 02, 2022 |
| Last update date |
Jan 12, 2023 |
| Contact name |
Chunlei Zou |
| E-mail(s) |
zouchunlei1988@sina.com
|
| Organization name |
Shanxi Agricultural University
|
| Street address |
No.1 Mingxian Road
|
| City |
Taigu |
| ZIP/Postal code |
030800 |
| Country |
China |
| |
|
| Platform ID |
GPL32061 |
| Series (1) |
| GSE205413 |
LncRNAs and mRNAs of sugar beet in response to drought stress |
|
| Relations |
| BioSample |
SAMN28852833 |
| SRA |
SRX15578783 |
