The largest database of trusted experimental protocols

3 protocols using cell ranger v2.0.2

1

Single Cell TCR Sequencing and Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The sorted T cells were immediately washed with PBS and 0.04% FBS. Single cell barcoding was performed on a Chromium Controller (10X Genomics) according to the manufacturer's protocol. The generating library for paired TCR alpha and beta sequence analysis was processed according to Chromium Single Cell V(D)J reagent kit (10X Genomics). 4 nM of the library was denatured with 0.2 N NaOH and mixed with 1% PhiX control (Illumina). The library sequencing was conducted using a MiSeq system according to the manual (Illumina). Single cell TCR V(D)J sequences were analyzed using the Cell Ranger (v2.0.2) and Loupe V(D)J Browser v2.0 (10X Genomics) software to process multiplexing, barcoding, and gene counting. The dominant TCR paired alpha and beta sequences were codon optimized and designed for the lentiviral construct.
+ Open protocol
+ Expand
2

Single-cell transcriptomics of RA joint tissues

Check if the same lab product or an alternative is used in the 5 most similar protocols
ScRNAseq sequencing was performed on ultrasound-guided joint biopsies of hand (n = 8) or knee (n = 6) joints of RA patients (Patient’s characteristics in Supplementary Table S1). Tissues were processed as previously described42 (link). In brief, tissues were mechanically minced and enzymatically digested using Liberase TL (Roche). 10’000 unsorted synovial cells (viability >80%) per patient were prepared for single cell analysis using the Chromium Single Cell 3’ GEM, Library and Gel Bead Kit v3.1, the Chromium Chip G Single Cell Kit and the Chromium controller (all 10× Genomic). Libraries were sequenced on the Illumina NovaSeq6000 instrument to a sequence depth of 20,000 to 70,000 reads per cell. CellRanger (v2.0.2) from 10× Genomics was used to demultiplex, align the reads to Ensembl reference build GRCh38.p13 and collapse unique molecular identifiers (UMIs). The standard Seurat protocol73 (link) was used for further analysis. Gene expression between hand and knee was compared. Pathway enrichment analyses of genes differentially expressed between SF from hands and knees were performed using Enrichr (all genes with FDR < 0.05, log fold change +/−1)74 . The scatter dot plots were created with the Enrichr Appyter.
+ Open protocol
+ Expand
3

Single-Cell Analysis of Synovial Tissue

Check if the same lab product or an alternative is used in the 5 most similar protocols
Based on the previous studies,20 (link) four typical synovial tissues (two AF group patients and two control group patients) were mechanically minced and enzymatically digested with Liberase TL (100 g/mL; Roche) and DNAse I (100 g/mL; Roche) for 30 min at 37°C. Red Blood Cell Lysis solution was used to lyse erythrocytes after fetal calf serum was used to stop the digestion process (Milteny Biotec). The LUNA automated cell counter was used to wash and count the cells (Logos Biosystems). Using the Chromium Single Cell 3′ GEM, Library & Gel Bead Kit v3, the Chromium Chip B Single Cell Kit (10 Genomics), and the Chromium controller (all 10 Genomics), a total of 15 000 unsorted synovial cells per patient were prepared for single cell analysis. On the Illumina NovaSeq instrument, libraries were sequenced to a depth of 20 000–70 000 reads per cell. The reads were demultiplexed, and aligned to the Ensembl reference build GRCh38.p13, and the unique molecular identifiers were collapsed using CellRanger (V.2.0.2) from 10X Genomics.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!