Project description:This study investigates the cellular heterogeneity of Synovial Sarcoma (SyS), an aggressive cancer defined by the SS18-SSX fusion oncogene and exhibiting diverse clinical behavior. We used single-cell RNA sequencing (scRNA-seq) on tumor samples from 16 patients to deconstruct this diversity at high resolution, aiming to characterize molecular subtypes and elucidate how their unique transcriptional programs influence key oncogenic processes like immune evasion and chemoresistance. The experimental workflow involved processing surgically resected tumors into fixed single-cell suspensions, followed by library construction using the 10x Genomics Chromium Fixed RNA Profiling platform and sequencing with the Genolab M platform.
Project description:Human synovial Single cell RNA-seq was performed on three tissue samples from healthy donors. This experiment was done to explore the heterogeneity of cells in healthy human synovial joint and enabled the comparison of cellular states and composition to those of publicly available single cell RNA-seq datasets from psoriatic arthritis and rheumatoid arthritis patients. Human synovial cells were loaded immediately after tissue dissociation with up to 25,000 cells in a single well of a Chromium chip G (10x Genomics). 3’ gene expression libraries were generated using Chromium Next GEM Single Cell 3' Kit 3.1 with 3' Feature Barcode Kit and dual indexing (10x Genomics protocol CG000316 Rev C). Libraries were sequenced as paired end (PE) 150 bp by Illumina sequencing to 65-80% saturation. Reads were mapped to the GRCh38 human genome (GENCODE) using the 10x Genomics Cell Ranger pipeline (7.2.0).
Project description:We used human embryonic stem cell-derived retinal ganglion cells (RGCs) to characterize the transcriptome of 1,174 cells at the single cell level. The human embryonic stem cell line BRN3B-mCherry A81-H7 was differentiated to RGCs using a guided differentiation approach. Cells were harvested at day 36 and incubated with THY1 antibody (Miltenyi) before undergoing FACS. THY1 positive and THY1 negative cells were subsequently prepared for single cell RNA sequencing. Single cell suspensions were loaded onto 10X Genomics Single Cell 3' Chips along with the reverse transcription master mix as per the manufacturer's protocol for the Chromium Single Cell 3' v2 Library (10X Genomics; PN-120233), to generate single cell gel beads in emulsion. Libraries were then sequenced on an Illumina HiSeq 2500.
Project description:Normal adjacent tissues from colorectal cancer patients were collected for MAIT cell sorting. Sorted MAIT cells from seven individual donors were pooled together. Single-cell RNA sequencing libraries were prepared using the Chromium 5' Single Cell Gene Expression Kit (10x Genomics), following the manufacturer's protocol. Sequencing was performed on a NextSeq 500 platform (Illumina).
Project description:We used single-cell RNA sequencing with the 10x Genomics platform to study the effect of SP11 treatment in a MOLT4. The goal was to examine tumor heterogeneity, identify potential treatment-resistant cell populations, and assess changes in the intercellular communication. This dataset provides an overview of how SP11 impacts tumor biology at single-cell resolution.
Project description:We thus isolated hippocampus from rhesus macaques and performed single-cell RNA-sequencing analysis. The scRNA-Seq libraries were generated using the 10X Genomics Chromium Controller Instrument and Chromium Single Cell 3’ V2 Reagent Kits (10X Genomics, Pleasanton, USA).