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SRX4083297: GSM3142033: P1_9_total; Homo sapiens; RNA-Seq
1 ILLUMINA (NextSeq 500) run: 100.8M spots, 8.3G bases, 3.4Gb downloads

Submitted by: NCBI (GEO)
Study: Organoids derived from pancreatic adenocarcinoma patients share morphological and genetic features with the primary tumor [Drop-seq]
show Abstracthide Abstract
In this study, we applied Drop-seq, a high throughput single cell RNA-seq platform, to characterize the different cell types present in pancreatic cancer organoids. We sequenced the transcriptomes of 7675 single cells from organoids derived from a patient undergoing a Whipple procedure for pancreatic ductal adenocarcinoma (PDAC). We then developed a novel clustering approach based on a class of probabilistic generative models called topic models, leading to the identification of subpopulations of cells. Overall design: Dropseq of organoids derived from patient 1. Mature organoids were pooled, made into single cell suspension and 17 single cell RNAseq libraries were generated starting from 15 separate dropseq runs.
Sample: P1_9_total
SAMN09209642 • SRS3300483 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: NextSeq 500
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: The single cell RNA-seq dataset is comprised of 15 separate drop-seq runs. For each run, a total of 2000 fully growth organoids were pooled, typsinized with TrypLE in presence of 10 µM Y-27632, strained into a single cell suspension and counted. The final concentration of the cell suspension varied between 100-120 cells/uL depending on the flow rate at which monodisperse droplets were formed. Organoids were always harvested for drop-seq analysis at same growth size to ensure uniformity from run to run. The droplets were broken and the beads were collected and reverse-transcribed. The cDNA obtained was then PCR amplified and quantified. Finally, the cDNA was fragmented
and amplified using primers that
 allow amplification of only the 3'
ends, processed into RNA-seq 
libraries using Illumina Nextera XT library prep kit. As described in Macosko et al Cell (2015)
Experiment attributes:
GEO Accession: GSM3142033
Links:
Runs: 1 run, 100.8M spots, 8.3G bases, 3.4Gb
Run# of Spots# of BasesSizePublished
SRR7165188100,823,4328.3G3.4Gb2020-06-01

ID:
5568858

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