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Chromium single cell 3 reagent kit

Manufactured by Genomics Plc
Sourced in United States

The Chromium Single Cell 3' Reagent Kit is a laboratory equipment product that enables single-cell analysis. It provides the necessary reagents and consumables for preparing single-cell samples for gene expression profiling using the 3' mRNA sequencing approach.

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6 protocols using chromium single cell 3 reagent kit

1

Single-Cell RNA Sequencing Workflow

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~10,000 live cells/conditions were used to construct single-cell specific cDNA libraries using protocol described in 10x Genomics chromium single cell 3’ reagent kit (v3.1 Chemistry). Briefly, cells were partitioned into nanoliter-scale Gel-Beads-in-emulsion (GEM) using the 10x Chromium controller. Each GEM contains a unique barcode which is shared among the cDNA generated from a single cell. Cells were then lysed, and cDNA synthesis and feature barcoding were performed in the GEMs. The sequencing libraries were recovered using Magnetic separation and the quantity and quality of cDNA were assessed by Agilent 2100 expert High Sensitivity DNA Assay. cDNA samples were sequenced on 1 lane of NovaSeq 6000 S2 flow cell and reads were mapped to mouse mm10 genome using Cell Ranger v.3.0.2 to generate fasq files.
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2

scRNA-seq of Cultured Mesenchymal Stem Cells

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After three passages in culture, MSCs were processed for scRNA-seq on the Chromium platform (10 × Genomics, Pleasanton, CA, USA). Each sample was processed in a single lane on the Chromium instrument, with a targeted cell recovery of 10,000 cells per sample. The scRNA-seq libraries were prepared with the Chromium Single-Cell 3′ Reagent Kit (10 × Genomics, Pleasanton, CA, USA), according to manufacturer’s instructions. Libraries were pooled and sequenced on the Illumina NextSeq 500 in paired-end configuration to a read depth of approximately 24,000 paired-end reads per cell.
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3

Single-cell RNA-seq of iNKT cells

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scRNA-seq library generation was described in our previous published study37 (link). Two biological repeats for each samples (including iNKT cells from spleen, liver, and lymph node) of scRNA-seq libraries were generated using the 10X Genomics Chromium Single Cell 3′ Reagent Kit (v2 Chemistry) and Chromium Single Cell Controller as previously described38 (link).
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4

Single-Cell RNA Sequencing Workflow

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~10,000 live cells/conditions were used to construct single-cell specific cDNA libraries using protocol described in 10x Genomics chromium single cell 3’ reagent kit (v3.1 Chemistry). Briefly, cells were partitioned into nanoliter-scale Gel-Beads-in-emulsion (GEM) using the 10x Chromium controller. Each GEM contains a unique barcode which is shared among the cDNA generated from a single cell. Cells were then lysed, and cDNA synthesis and feature barcoding were performed in the GEMs. The sequencing libraries were recovered using Magnetic separation and the quantity and quality of cDNA were assessed by Agilent 2100 expert High Sensitivity DNA Assay. cDNA samples were sequenced on 1 lane of NovaSeq 6000 S2 flow cell and reads were mapped to mouse mm10 genome using Cell Ranger v.3.0.2 to generate fasq files.
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5

Comprehensive Single-cell RNA-seq Workflow

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Single-cell suspensions were made using a gentle MACS Octo (Miltenyi Biotec). Single-cell suspensions were loaded onto the Chromium Controller (10× Genomics) for droplet formation. scRNA-seq libraries were prepared using the Chromium Single Cell 3′ Reagent Kit (10× Genomics). The cell suspension (300–600 living cells/mL) was loaded onto the Chromium single-cell controller (10× Genomics) by using the single-cell 3’ Library and Gel Bead Kit V3 (10× Genomics, 1000075) and Chromium Single Cell B Chip Kit (10× Genomics, 1000074). Details are shown in the Supplementary File. scRNA-seq libraries were constructed by the Single Cell 3’ Library and Gel Bead Kit V3. The libraries were sequenced by an Illumina Novaseq6000 sequencer, the sequencing depth of each cell was at least 100,000 reads, and the paired-end 150 bp (PE150) reading strategy (CapitalBio Technology, Beijing) was adopted. The Cell Ranger software was obtained from 10× Genomics website. Alignment, filtering, barcode counting, and UMI counting were performed with cell ranger count module. Dimensionality reduction and the first ten principal components were used to generate clusters by K-means algorithm and graph-based algorithm, respectively. Details of other analyses are shown in the Supplementary Files.
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6

Single-cell RNA-seq of Thymic Epithelial Cells

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Immediately postsorting, CD45 DAPI EpCAM+total TECs were run on the 10× Chromium and then single‐cell RNA‐seq libraries were generated using the Chromium Single Cell 3′ Reagent Kit (10× Genomics) by the core facility at the Embryology Department of Carnegie Institute for Science. Briefly, TEC single‐cell suspension (~1,000 cells per 1 µl PBS) was mixed thoroughly with Single Cell 3′ gel beads and partitioning oil into a Single Cell 3′ Chip (10× genomics) following the recommended protocol for the Chromium Single Cell 3′ Reagent Kit (v2 Chemistry). RNA transcripts of single cells were uniquely barcoded and reverse‐transcribed within the individual droplets. cDNA molecules were then pre‐amplified and pooled together followed by the final library construction. Libraries were sequenced by paired‐end 150‐bp reads on Illumina NextSeq 500. Postprocessing and quality control were performed by the same genomics core facility using the 10× Cell Ranger package (V2.1.1, 10× Genomics) as described by Zheng et al. (2017). Reads were aligned to mm10 reference assembly (v1.2.0, 10× Genomics). After cell demultiplexing and read counting, all three samples were combined using the cellranger aggr pipeline (Zheng et al., 2017). Cell visualization was done using the Loupe Cell Browser (10× Genomics).
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