Project description:We thus isolated amygdala 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). Briefly, cells nuclei were concentrated to 1000 nuclei/μL and approximately 15000 nuclei were loaded into each channel to generate single-cell Gel Bead-In-Emulsions (GEMs), which results into expected mRNA barcoding of 9000 single nucleus for each sample.
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).
Project description:We thus isolated Anterior cingulate cortex (ACC) and Retro splenial cortex (RSC) from rhesus macaques and mice 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).
Project description:C57BL/6 mouse lymph node stromal cells were isolated for scRNA-seq, more than 2x104 cells were run on the 10X Chromium Controller (10X Genomics) to partition single cells with uniquely barcoded beads and processed for sequencing library preparation using the Chromium Single Cell 3’ Reagent Kit. cDNA libraries were sequenced on a NovaSeq 6000 sequencing system. 4 x 103 cells per sample were captured on the 10X Chromium chip. 5-10 x 104 reads/cell were obtained with characterization of 2-3 x 103 transcripts/cell.
Project description:Single cell RNA sequencing of human first trimester placenta were generated by deep sequencing using the 10x Genomics Chromium Single Cell Gene Expression Solution (10xgenomics.com).
Project description:We performed Visium CytAssist (10X), GeoMx DSP (Nanostring) and Chromium Flex (10X Genomics) full transcriptome profiling on Breast Cancer (BC), Lung Cancer (LC) and diffuse large B cell lymphoma (DLBCL) samples from archival FFPE blocks. We explore the data quality across blocks with different storage times and DV200 values for all the three methods. We compared the cell type signature purity between ST methods Visium and GeoMx by utilising pathology annotations and scRNAseq. For the Visium and Chromium methods with a large number of data points we explored the heterogeneity between tissues. Finally, we demonstrate the discovery of patient-specific tumor-TME interactions across all three methods.
