|
Status |
Public on Oct 09, 2018 |
Title |
ΔH3.V/ΔH4.V_A2 |
Sample type |
SRA |
|
|
Source name |
single cell
|
Organism |
Trypanosoma brucei brucei |
Characteristics |
strain: Lister 427 MITat 1.2 genotyope: TetR, T7RNAP, H3.V-/-, H4.V-/- life cycle stage: bloodstream form
|
Extracted molecule |
total RNA |
Extraction protocol |
Cells were sorted and lysed in lysis buffer ((0.01 µL of RNAse inhibitor (Takara) and 1x Lysis buffer (Takara) in RNAse-free water) and RNA was extracted from 1, 10 and 50 cells using the SMART-Seq v4 Ultra Low Input RNA Kit (Takara) with a fourth of the recommended volumes of reagents. PCR amplification was performed for 26 cycles. Libraries were constructed using a Nextera XT kit (Illumina) according to the manufacturer's instructions, but using only one fourth of the recommended voulmens and 1 ng of cDNA.
|
|
|
Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina NextSeq 500 |
|
|
Description |
ERCC spike-in control added Feature_counts_scRNAseq_set_two.tsv VSG_raw_counts_scRNAseq_set_two.tsv
|
Data processing |
NextSeq 500 bcl2fastq v.20.0.422 cutadapt v.1.15 BWA-mem v0.7.16 python 3.6 samtools v1.8 bedtools v2.26.0 picard v2.9.0 Genome_build: Tb427v9 Supplementary_files_format_and_content: Feature counts of all RNA seq data from 1, 10 and 50 cells can be found in Feature_counts_scRNAseq_set_two.tsv. Single-cell samples with appropriate coverage (more than 500 genes captured with at least 10 read counts per gene) were considered for VSG expression analysis and are listed in VSG_raw_counts_scRNAseq_set_two.tsv. Supplementary_files_format_and_content: txt; scRNA-seq normalization and quantification from scRNA-seq II
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|
|
Submission date |
Oct 09, 2018 |
Last update date |
Oct 10, 2018 |
Contact name |
Konrad U. Förstner |
E-mail(s) |
foerstner@zbmed.de
|
Organization name |
ZB MED - Information Centre for Life Sciences
|
Department |
Information Services
|
Lab |
Förstner Lab
|
Street address |
Gleueler Str. 60
|
City |
Cologne |
State/province |
North Rhine-Westphalia |
ZIP/Postal code |
50931 |
Country |
Germany |
|
|
Platform ID |
GPL22141 |
Series (2) |
|
Relations |
BioSample |
SAMN10224184 |
SRA |
SRX4819995 |