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SRX2480198: GSM2450588: CROP-seq_HEK293T; Homo sapiens; OTHER
1 ILLUMINA (Illumina HiSeq 4000) run: 227.6M spots, 68.7G bases, 33.4Gb downloads

Submitted by: NCBI (GEO)
Study: Pooled CRISPR screening with single-cell transcriptome read-out
show Abstracthide Abstract
We combined CRISPR genome editing with single-cell RNA sequencing to assess complex phenotypes in pooled cellular screens. Our method for CRISPR droplet sequencing (CROP-seq) comprises four key components: a gRNA vector that makes individual gRNAs detectable in single-cell transcriptomes, a high-throughput assay for single-cell RNA-seq, a computational pipeline for assigning single-cell transcriptomes to gRNAs, and a bioinformatic method for analyzing and interpreting gRNA-induced transcriptional profiles. CROP-seq allowed us to link gRNA expression to the associated transcriptome responses in thousands of single cells using a straightforward and broadly applicable screening workflow. Additional information are available from the CROP-seq website http://crop-seq.computational-epigenetics.org Overall design: Drop-seq species mixing experiment was performed with human HEK293T and mouse 3T3 cells in a 1:1 proportion as described by Macosko et al. For CROP-seq, Jurkat cells were transduced with a gRNA library targeting high-level regulators of T cell receptor signaling and a set of transcription factors. After 10 days of antibiotic selection and expansion, cells were stimulated with anti-CD3 and anti-CD28 antibodies or left untreated. Both conditions were analyzed using CROP-seq, measuring TCR activation for each gene knockout. Our dataset comprises 5,905 high-quality single-cell transcriptomes with uniquely assigned gRNAs. All CROP-seq raw data files are multiplexed with single-cell reads. Each read 1 contains the cell barcode (12 bp) and a molecule barcode (8 bp) and read 2 contains the transcriptome read. The libraries are pooled by nature but also intrinsically labelled. The file CROP-seq_Jurkat_TCR.digital_expression.csv.gz contains gene level expression quantifications of each gene for each cell which corresponds to the cell barcode in read1. For the Drop-seq_HEK293T-3T3 sample (Drop-seq species mixing), reads aligning to two genomes were used to quantify for each cell barcode the amount of reads coming from each genome. In a similar way, in the CROP-seq_HEK293T sample (CROP-seq gRNA mixing), the number of gRNA molecules detected per cell barcode (which is possible due to the polyadenylation of these gRNA-containing transcripts when expressed from a Pol2 promoter as engineered) were counted.
Sample: CROP-seq_HEK293T
SAMN06212457 • SRS1911820 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: Illumina HiSeq 4000
Strategy: OTHER
Source: TRANSCRIPTOMIC
Selection: other
Layout: PAIRED
Construction protocol: CROP-seq: Adherent cells were detached using Trypsin-EDTA (Gibco #25300-054), following standard cell culture practices. Cells were collected by centrifugation at 300 rcf for 5 min, washed once with PBS-0.01% BSA (freshly prepared on the day of the run), and resuspended in 1 ml of PBS-0.01% BSA. Cells were filtered through a 40 µm cell strainer to obtain a suspension of single-cells, which were counted using a CASY device. Single cells were then co-encapsulated with barcoded beads (ChemGenes #Macosko-2011-10) using an Aquapel-coated PDMS microfluidic device (FlowJEM), connected to syringe pumps (kdScientific) via polyethylene tubing with an inner diameter of 0.38 mm (Scicominc #BB31695-PE/2). Cells were supplied in PBS-0.01% BSA at a concentration of 220 cells/µl, barcoded beads were resuspended in Drop-seq lysis buffer at a concentration of 150 beads/µl. The flow rates for cells and beads were set to 1.6 ml/hour, while Droplet Generation Oil (BioRad #1864006) was run at 8 ml/hour. During the run, the barcoded bead solution was mixed by magnetic stirring with a mixing disk set to 1 jump/s. A typical run lasted between 35 and 40 min. In case of multiple runs per day, droplets were intermittently stored at 4 °C and processed together. Our most important modification to the protocol is an alternative way to break droplets, which recovers beads much more efficiently than in the original publication of Drop-seq (Macosko et al., 2015). After removing as much oil below the droplet layer as possible, we added 30 ml of 6x SSC buffer (Promega #V4261) and 1 ml of Perfluoroctanol (Sigma Aldrich #370533-25G) and shook the tube forcefully 6 times to break the droplets. Based on their large diameter, beads were then collected by syringe-filtering the solution through a 0.22 µm filter unit (Merck #SLGV033RS), washing 2x with 20 ml of 6x SSC buffer and eluting by turning the filter upside down and rinsing it with 3x 10 ml of 6x SSC buffer. Beads were then collected by centrifugation at 1,250 rcf for 2 min, setting the brake speed to 50%. After washing a second time with 10 ml 6x SSC, the pellet was taken up in 200 µl of 5x RT buffer and transferred to a 1.5 ml tube. Bulk RNA-seq: Total RNA was extracted using the Qiagen AllPrep Kit (Qiagen #80311). CROP-seq: Reverse transcription and Exonuclease I treatment were performed as described in the original publication, and the number of barcoded beads was estimated using a Fuchs-Rosenthal counting chamber (mixing the bead suspension with 6x DNA loading dye). Depending on the performance of the experiment, we prepared up to 24 PCR reactions per Drop-seq run, adding 4,400 beads (~220 cells) per PCR and enriching the cDNA for 4 + 10 cycles, using the already described reagents. We then prepared Drop-seq libraries using the Nextera XT kit (Illumina #15032350), starting from 1 ng of cDNA pooled in equal amounts from all PCR reactions for a given run. We typically required an additional 10 enrichment cycles, using the Illumina Nextera XT i7 primers along with the Drop-seq New-P5 SMART-PCR hybrid oligo. The slightly increased cDNA input typically results in an average size distribution of about 575 bp. After quality control, libraries were sequenced with paired-end SBS chemistry on Illumina HiSeq 3000/4000 instruments. Drop-seq Custom Read1 Primer was spiked into the HP10 primer solution, located in column 11 of the cBot Reagent Plate at 1µM final concentration. High sequence complexity needed for optimal base calling performance was achieved by adding 20-30% PhiX as spike-in. Cluster generation and Read 1 primer hybridization were completed using cBot protocol ‘HiSeq_3000_4000_HD_Exclusion_Amp_v1.0’. Alternatively, libraries were sequenced on an Illumina NextSeq 550 instrument using the 75 cycle High Output Kit. We loaded 1.8 pM library and provided Drop-seq Custom Read1 Primer at 0.3 µM in position 7 of the reagent cartridge. On NextSeq machines, we sequenced without PhiX spike-in, using a read configuration of 20 bases (Read1), 8 bases (Index) and 64 bases (Read2); Bulk RNA-seq: Bulk RNA-seq libraries were prepared using the QuantSeq 3' mRNA-Seq Library Prep Kit (Lexogen #015.96) according to the manufacturer's instructions.
Experiment attributes:
GEO Accession: GSM2450588
Links:
Runs: 1 run, 227.6M spots, 68.7G bases, 33.4Gb
Run# of Spots# of BasesSizePublished
SRR5163029227,621,65368.7G33.4Gb2017-01-18

ID:
3594707

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