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Chromium single cell 3 v2

Manufactured by 10x Genomics
Sourced in Germany

The Chromium Single Cell 3' v2 is a platform for single-cell analysis. It enables the capture and barcoding of individual cells, allowing for the simultaneous profiling of gene expression from thousands of single cells in a single experiment.

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4 protocols using chromium single cell 3 v2

1

Single-Cell Transcriptome Analysis of Human PBMCs

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Frozen cells were thawed and processed according to the recommended protocol for human PBMCs (10x Genomics, U.S.A.). Cell quantity and viability were checked with the haemocytometer under the microscope. Dead Cell Removal Kit (Miltenyi Biotec, cat. no. 130-090-101, Germany) was applied according to the manufacturer’s protocol. Cells were resuspended in phosphate-buffered saline (PBS) supplemented with 0.04% bovine serum albumin (BSA) (Merck, cat. no. 12659, Germany) before undergoing single-cell preparation protocol using the Chromium Single Cell 3′ v2 (10x Genomics, cat. no. PN-120267, U.S.A.). scRNA-seq libraries were sequenced with the Illumina HiSeq platform by Macrogen Inc. (South Korea).
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2

Single-cell RNA-sequencing Workflow

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All cell samples were filtered and counted on a Countess II automated cell counter (ThermoFisher) before being loaded on a 10x Chromium instrument (10x Genomics). Single-cell RNA-sequencing libraries were prepared using the Chromium Single Cell 3′v2 or 3’v3 Reagent Kit (10x Genomics) according to the manufacturer’s instructions. 12 cycles of cDNA amplification and 12 cycles of library amplification were performed, and samples were sequenced on an Illumina NovaSeq 6000 Sequencing System at the JP Sulzberger Columbia Genome Center. The 10x Genomics Cell Ranger pipeline was used to process the data (v2.1.1 and v5.0.1). BCL files were demultiplexed with 10x Cell Ranger’s mkfastq command, and both analysis and alignment were performed using Cell Ranger’s count command with Cell Ranger’s reference mm10.
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3

Single-cell RNA-seq analysis of tumor-infiltrating lymphocytes

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Fresh tumor samples obtained during surgery were immediately processed using enzymatic digestion to isolate single-cell suspensions of TILs, which were then sorted on a FACSAria II. The scRNA-seq approach utilized in this project was conducted according to the Chromium™ Single Cell 3′ v2 protocol provided by 10× Genomics. Approximately 10,000 sorted CD45+ cells were sampled for each experiment. After the initial processing, data cleaning and merging steps, 28,820 cells were analyzed. The Cell Ranger™ analysis pipelines were able to process the raw BCL dataset generated by Illumina. R and Python were the two major programming languages used in this project. Crucial open access packages, including “Seurat (R, version 3.0)” [8 (link),9 (link)], “Monocle 3 (R)” [10 (link),11 (link),12 (link)], and “CellPhoneDB (python, version 2.0)” [13 (link)], were obtained online. Briefly, dying cells, cell doublets and low-quality cells were first removed. The clean data from the three datasets were then merged and transformed. For dimensionality reduction, both the UMAP [14 (link)] and t-SNE [15 ] methods were applied. A built-in graph-based clustering analysis from “Seurat” was used to determine clusters in an unbiased manner. Clusters were annotated according to differentially expressed genes.
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4

Single-cell RNA-seq of Limb Bud Development

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scRNA-seq experiments were performed in single replicates that were jointly processed to avoid batch effects. E11.5 limb buds of wild-type, Dup and Inv1 embryos were microdissected in 1xPBS at room temperature. A single-cell suspension was obtained by incubating the tissue for 10 min at 37 °C in 200 μl Gibco trypsin-EDTA 0.05% (Thermo Fisher Scientific, Cat. #25300054) supplemented with 20 μl 5% BSA. Trypsinization was then stopped by adding 400 μl of 5% BSA. Cells were then resuspended by pipetting, filtered using a 0.40 μm cell, washed once with 0.04% BSA, centrifuged for 5 min at 150 x g, then resuspended in 0.04% BSA. The cell concentration was determined using an automated cell counter (Bio-Rad) and cells were subjected to scRNA-seq (10x Genomics, Chromium Single Cell 3′ v2; one reaction per time point and per strain has been used) aiming for a target cell recovery of up to 10,000 sequenced cells per sequencing library (time point and strain). Single-cell libraries were generated according to the 10x Genomics instructions with the following conditions: 8 PCR cycles were run during cDNA amplification and 12 PCR cycles were run during library generation and sample indexing to increase library complexity. Libraries were sequenced with a minimum of 230 million 75 bp paired-end reads according to standard protocols.
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