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26 protocols using chromium single cell 3 library and gel bead kit v3

1

Single-cell RNA-seq of Coronavirus-Infected Cells

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The collected coro1a-DsRed+ cells were loaded onto the channels of Single Cell G Chip (v3.1 chemistry, PN-1000120). The 10x libraries were constructed using Chromium single-cell gene expression platform and Chromium Single Cell 3′ Reagent Kits (v3.1 chemistry PN-1000121) by AccuraMed Medical Technology Co., LTD (Shanghai, China). Briefly, single-cell suspensions in each channel of the chip were loaded on a Chromium Controller (10x Genomics, Pleasanton, CA) to generate single-cell GEMs (gel beads in emulsion). Then the 10x libraries of each channel were prepared using the Chromium Single Cell 3′Gel Bead and Library Kit v3.1 (PN-1 −1000123, 1000157, 1000129; 10x Genomics). Libraries were sequenced by the Illumina NovaSeq 6000 S4 Reagent Kit v1.5 (illumine PN-20028312).
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2

Single-Cell RNA-Seq Analysis of Amyloid-Induced Neurodegeneration

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Amyloid toxicity was induced as described [13 (link), 47 ] in the adult telencephalon; the brains were dissected and single-cell suspensions were generated as previously described [23 (link), 24 (link)]. Chromium Single-Cell 3’ Gel Bead and Library Kit v3.1 (10X Genomics, 120,237) was used to generate single-cell cDNA libraries. Generated libraries were sequenced via Illumina NovaSeq 6000 as described [12 (link), 13 (link), 23 (link), 24 (link), 71 (link)]. The cell clusters were identified using a resolution of 1. In total, 34 clusters were identified. The main cell types were identified by using s100b and gfap for astroglia; sv2a, nrgna, grin1a, grin1b for neurons; pdgfrb and kcne4 for pericytes; cd74a and apoc1 for microglia; mbpa and mpz for oligodendrocytes; myh11a and tagln2 for vascular smooth muscle cells, kdrl for endothelial cells.
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3

Single-Cell RNA-seq of Root Radicle

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Briefly, the root radicle single-cell suspensions were loaded on a Chromium Single Cell Instrument (10× Genomics, Pleasanton, CA) to generate single-cell GEMs. scRNA-seq library was generated with the Chromium Single Cell 3’ Gel Bead and Library Kit v3 (10× Genomics, Cat No./ID: P/N 1000075 and 1000073) according to user guide (Chromium Single Cell 3ʹ Reagent Kits v3, CG000183 Rev A). The qualitative analyses of DNA libraries were performed with Agilent 2100 Bioanalyzer. The libraries were sequenced by Illumina sequencer NovaSeq (Genergy Biotechnology Shanghai Co., Ltd) using two 150 bp paired-end kits. The raw scRNA-seq dataset was comprised of 28 bp Read1, 150 bp Read2 and 8 bp i7 index reads.
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4

Single-cell transcriptomics of mouse hair follicle

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The barcoded single-cell 3′ cDNA libraries were generated using Chromium Single Cell 3′ gel bead and library Kit v3 (10x Genomics) and sequenced using an Illumina NextSeq-500. The raw data were aligned to the mouse reference genome (mm10-2020-A) using the 10X Genomics Cell Ranger pipeline (v6.0.1). The data analysis was performed in R using the Seurat package version 4.072 (link),73 (link). Cells that had between 200 and 5000 genes expressed and had under 10% of the UMIs mapped to mitochondrial genes were retained. We obtained a total of 3957 and 8627 high-quality cells for telogen and anagen samples, respectively. For further analysis, all samples were merged, the transcript counts were log-normalized, and the expression of each gene was scaled so that the variance in gene expression across cells was one, followed by Principal Component Analysis (PCA). The data integration was performed by PCA embeddings using Harmony74 (link). The corrplot R function was used to measure the correlation between the two biological replicates. Differentially expressed genes (DEGs) were identified by ‘FindAllMarkers’ function using the Wilcox Rank Sum test.
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5

Single-Cell RNA-Seq Library Preparation

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The input cells were loaded onto the channel of Single Cell B Chip (v3 chemistry, PN-1000153). The 10x library was constructed using 10x Chromium Controller and Chromium Single Cell 3′ Reagent Kits (v3 chemistry CG000183) following the detailed protocol of the manufacturer. In brief, single-cell suspensions in each channel of the chip were loaded on a Chromium Controller (10x Genomics, Pleasanton, CA) to generate single-cell GEMs (gel beads in the emulsion). The 10x libraries of each channel were then prepared using the Chromium Single Cell 3′Gel Bead and Library Kit v3 (PN-1000153, 1000075, 120262; 10x Genomics).
Libraries were sequenced using an Illumina NovaSeq 6000 sequencer with 150-bp paired-end reads.
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6

Droplet-based single-nucleus RNA-seq

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Equal numbers of sorted GFP+ (tumor) and GFP− (microenvironment) nuclei were centrifuged at 600×g for 5 m at 4 °C. Droplet-based snRNA-seq was performed using the Chromium Single Cell 3′ Library and Gel Bead Kit v3 (10× Genomics) and Chromium Single Cell 3′ Chip G (10× Genomics). Approximately 12,000 nuclei were encapsulated in a single v3 reaction. GEM generation and library preparation were performed according to manufacturer’s instructions.
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7

Single-cell transcriptomics from bulk RNA-seq

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One sample used in targeted bulk RNA-seq was split and co-prepared for sc-RNA-sequencing. ScRNA-seq was performed using the Chromium Single Cell 3’ Library and Gel Bead Kit v3 (10x Genomics) using the Chromium Controller according to the manufacturer’s protocol. Single cell libraries were sequenced on an Illumina NovaSeq 6000.
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8

Single-Cell RNA-Seq Library Preparation

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cDNA libraries were prepared using the Chromium Single Cell 3 Library and Gel Bead kit v3 (10x Genomics: 1000092) according to the manufacturer’s instructions. Libraries were sequenced on an Illumina NovaSeq 6000 sequencer at the UCSF CAT Core.
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9

Single-Cell RNA Sequencing with 10X Genomics

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scRNA-seq libraries were prepared using the Chromium Single Cell 3’ Library and Gel Bead Kit v3 (10X Genomics), according to the manufacturer’s protocol (User Guide). Chips were loaded after calculating the accurate volumes using the ‘Cell Suspension Volume Calculator Table’. With an initial single-cell suspension concentration equal to 1000 cells/µl, we targeted to recover approximately 10,000 cells. Once GEMs were obtained, reverse transcription and cDNA amplification steps were performed. Sequencing was done on Illumina NovaSeq 6000 S2 flow cell generating paired-end reads. Different sequencing cycles were performed for the different reads, R1 and R2. R1, contained 10X barcodes and UMIs, in addition to an Illumina i7 index. While R2 contained the transcript-specific sequences.
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10

Embryonic Lung Single-Cell RNA-Seq

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Lungs were dissected from the embryo at the stages of interest and then dissociated with dispase (Corning) at room temperature for 10 min to generate a single-cell suspension. Cell suspensions were processed by the Princeton Genomics Core Facility. Cells were loaded and processed using the Chromium Single-Cell 3′ Library and Gel Bead Kit v3 (10x Genomics) on the Chromium Controller (10x Genomics) following the manufacturer’s protocols. Individual cells were encapsulated in droplets with individual gel beads carrying unique barcoded primers and lysed. Fragments of cDNA were synthesized, barcoded, and amplified by polymerase chain reaction (PCR). Illumina sequencing libraries were prepared from the amplified cDNA from each sample group using the Nextra DNA library prep kit (Illumina). Libraries were sequenced on NovaSeq 6000 S Prime flow cells (Illumina) as paired-end 28 + 94 nucleotide reads, following the manufacturer’s protocols. Base calling was performed, and raw sequencing reads were filtered using the Illumina sequencer control software to keep only pass-filtered reads for downstream analysis. The 10× Cell Ranger software version 3.0.2 was used to run the count pipeline with default settings on all FASTQ files from each sample to generate gene-barcode matrices using the Anolis carolinensis reference genome AnoCar2.0.
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