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12 protocols using gel bead multiplex kit

1

Single-cell RNA-seq and TCR profiling

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Single-cell RNA-seq was performed by the 10× Genomic single-cell 5′ VDJ library platform. The concentration of single-cell suspensions was adjusted to 900-1100 cells/μl. Cells were loaded between 10,000 and 17,000 cells/chip position using the Chromium Single-cell 5′ VDJ Library, Gel Bead & Multiplex Kit, and Chip Kit (10× Genomics, V1 barcoding chemistry). Single-cell gene expression and TCR libraries were generated according to the manufacturer’s instructions. All subsequent steps were performed following the manufacturer’s standard protocols. Purified libraries were analyzed by Novaseq sequencer with 150-bp paired-end reads at a targeted median read depth of 50,000 reads per cell from total gene expression libraries and 5000 reads per cell for TCR libraries.
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2

Single-cell RNA Sequencing of Mouse Lung Cells

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We used single-cell RNA sequencing to analyse mouse lung cells. Gene expression data have been deposited into the SRA database at the National Center for Biotechnology Information with accession number SUB11878630. A single-cell RNA sequence was used to analyse mice pulmonary cells from the MV and sham groups. The number and viability of prepared single cells were measured using the Rigel S2 (Countstar, China). Using the Chromium Single Cell 3’ V2 Chemistry Library Kit and Gel Bead & Multiplex Kit from 10x Genomics (Biomarker Technologies, China), single-cell libraries were constructed. Gel Bead-In-Emulsions were generated using cellular suspensions loaded onto the Chromium Controller (10x Genomics, Pleasanton). The Chromium Single Cell 3’ Reagent Kits V.3.1 (10x Genomics) were used to generate bar-coded sequencing libraries. Each sample was sequenced using paired-end sequencing on one lane of NovaSeq 6000 with 150 nt each end after library preparation. The 10x Genomics Cell Ranger pipeline was used to process raw reads. With Cell Ranger, the single cells can be clustered, the marker genes can be identified and the unique molecular identifiers can be exported. The R package Seurat (V.2.2) was used for further analysis. For most of the Seurat analyses, default parameters were used. The maximum cut-off for Feature Plot was 0.5.
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3

Single-cell RNA-seq protocol for tissue biopsies

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Biopsies were minced into small pieces with a scalpel and incubated at 37 °C for 5 minutes in freshly prepared dissociation buffer containing 2 mg/mL Collagenase P (Roche) and 0.2 mg/ml DNase I (Roche). Dissociated tissue was harvested and filtered through a 40 µm cell strainer (Flowmi Tipstrainers, VWR) into ice-cold PBS. Cells were collected by centrifugation at 300 g for 5 minutes at 4 °C before resuspension in Red Blood Cell lysis buffer (Merck) for 5 minutes, then centrifuged at 200 g for 5 minutes at 4 °C before resuspension in PBS containing 0.04% UltraPure BSA (AM2616, ThermoFisher Scientific), and finally strained through a 40-µm cell strainer to further remove cell clumps and large fragments. Cell number and viability was measured for the biopsy using Luna Cell counter as previously published63 (link). Libraries for scRNAseq were generated using the Chromium Single Cell 5′ library and Gel Bead & Multiplex Kit from 10x Genomics. We aimed to profile 5000 cells per library if sufficient cells were retained during dissociation. All libraries were sequenced on Illumina NextSeq until sufficient saturation was reached. After quality control, raw sequencing reads were aligned to the human reference genome GRCh38 and processed to a matrix representing the UMIs per cell barcode per gene using CellRanger (10x Genomics, v3.1).
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4

scRNA-seq Profiling of COVID-19 PBMCs

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scRNA-seq was performed on PBMCs from 26 COVID-19 patients. 14 WARD patients and 12 ICU patients (all upon admission except for one at discharge) were included. Single-cell suspensions were converted to barcoded scRNA-seq libraries by using the Chromium Single Cell 5’ library and Gel Bead & Multiplex Kit from 10x Genomics. Captured cells were lysed and the released RNA was barcoded. Libraries were sequenced on an Illumina NovaSeq 6000 sequencer according to a paired-end reading strategy. Raw gene expression matrices were generated per sample by the Cell Ranger pipeline using the human reference version GRCh38. Additionally, we processed scRNA-seq data from Wilk et al. (17 (link)), including 6 HCs, 4 severe, and 4 moderate COVID patients. All datasets were analysed by the Seurat package and merged using Harmony. The R package Slingshot was used to explore pseudotime trajectories (34 (link)).
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5

Single-cell RNA sequencing protocol

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Libraries for scRNA-seq were generated using the Chromium Single Cell 3′ or 5′ library and Gel Bead & Multiplex Kit from 10x Genomics (Supplementary information, Table S2). We aimed to profile 5000 cells per library (if sufficient cells were retained during dissociation). All libraries were sequenced on Illumina NextSeq, HiSeq4000 or NovaSeq6000 until sufficient saturation was reached (73.8% on average, Supplementary information, Table S2). After quality control, raw sequencing reads were aligned to the human reference genome GRCh38 and processed to a matrix representing the UMI’s per cell barcode per gene using CellRanger (10x Genomics, v2.0).
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6

Single-cell Profiling of COVID-19 Immune Landscape

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Single-cell RNA sequencing was performed on 13 ‘mild-moderate’ and 10 ‘critical’ disease PBMC samples as well as 11 fresh BAL samples, sequencing 60675, 22849 and 26605 cells, respectively (Suppl. Figs. 4a and 8a). Single-cell suspensions were converted to barcoded scRNA-seq libraries by using the Chromium Single Cell 5′ library and Gel Bead & Multiplex Kit from 10x Genomics. Libraries were sequenced on an Illumina NovaSeq6000, and mapped to the human genome GRCh38 using CellRanger (10x Genomics). Raw gene-expression matrices generated per sample were merged and analysed with the Seurat package (v3.1.4).
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7

Single-Cell Transcriptome Profiling of Immune Cells

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The single-cell encapsulation and library preparation was done at the Centre for PanorOmic Sciences of the University of Hong Kong. The single-cell suspension was converted to uniquely barcoded RNA, TCR and BCR libraries by using the Chromium Single Cell 5′ Library, Gel Bead & Multiplex Kit, Chromium Single Cell V(D)J Enrichment Kit (Human T Cell), Chromium Single Cell V(D)J Enrichment Kit (Human B Cell), and Chromium Single Cell Chip Kit (10× Genomics), as per manufacturer’s instructions. The libraries were sequenced on a NovaSeq 6000, and mapped to the human genome (hg38) using CellRanger (10× Genomics). Gene positions were annotated as per Ensembl build 85 and filtered for biotype (only protein-coding, long intergenic noncoding RNA, antisense, immunoglobulin, T-cell receptor, and B-cell receptor).
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8

Single-cell RNA-seq library generation

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Libraries for scRNA-seq were generated using the Chromium Single Cell 3′ library and Gel Bead & Multiplex Kit from 10x Genomics. 10×Genomics Chromium barcoding system was used to construct a 10× barcoded cDNA library following the manufacturer’s instructions. All libraries were sequenced on Illumina HiSeq 4000 until sufficient saturation was reached.
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9

Single-cell RNA-seq of Orthotopic Tumours

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Early-stage orthotopic tumours derived from PARD3-overexpressing and wild-type (WT) Hepa1-6 cells were excised from C57BL/6J mice 10 days after tumour cell implantation. Tumour tissues were digested in 8 mg/10 ml collagenase IV in PBS at 37 °C for 30 min. The undigested pellets were discarded, and cells in the supernatant were collected by centrifugation at 400 × g for 5 min. The cell pellets were resuspended in PBS containing 0.5% BSA to obtain single-cell suspensions before single-cell encapsulation and library preparation, which was performed at the Centre for PanorOmic Sciences, The University of Hong Kong. Uniquely individually barcoded RNA was obtained by using the Chromium Single Cell 3′ Library, Gel Bead & Multiplex Kit, and Chromium Single Cell Chip Kit following the instructions provided by 10x Genomics. RNA-seq was performed on the NovaSeq 6000 platform. Chromium single-cell data were processed with Cell Ranger software (v 6.1.2, 10x Genomics) to align reads and generate feature-barcode matrices. The Seurat object was constructed based on the gene expression matrix and metadata using the Seurat R package (v 4.0). In the quality control (QC) process, single cells with read counts > 5000 or < 200 and > 20% mitochondrial read counts were excluded from subsequent downstream analyses.
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10

Single-Cell Transcriptomic Profiling Using 10X Genomics

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The 10X Genomics Chromium platform (10X genomics, Pleasanton, California, USA) was used to capture and barcode the cells to generate single-cell Gel Beads-in-Emulsion (GEMs) by following the manufacturer’s protocol. Chromium Single Cell 3' V2 Chemistry Library Kit, Gel Bead & Multiplex Kit, and Chip Kit from 10X Genomics (Pleasanton, California, USA) were used as a standard procedure of the 3-terminal single-cell transcription sequencing scheme. After cDNA amplification and Library construction, Qubit and Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA, USA) were used to measure the concentration. After the database was built, Illumina HiSeq X10 (Illumina, San Diego, CA, USA) was used for sequencing.
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