Project description:We generated Multiome RNA+ATAC data from the same cell from human PBMC. This served as a gold benchmark for a novel integration method for multi-omics data that we developed.
Project description:We generated Multiome RNA+ATAC data from the same cell from human PBMC. This served as a gold benchmark for a novel integration method for multi-omics data that we developed.
Project description:These samples are part of a study investigating cancer cell plasticity in colorectal cancer metastasis. Tumour microenvironment cell types and cancer cell states were identified using 10x Genomics Multiome (paired snRNA-seq + snATAC-seq). snATAC-seq data is uploaded here.
Project description:CENP-A, the centromeric histone H3 variant, is essential for the proper segregation of human chromosomes to daughter cells. High CENP-A expression leads to the misincorporation of CENP-A in non-centromeric chromatin and can promote an epithelial-mesenchymal transition (EMT). Here, we explored how CENP-A could promote EMT, considering both its impact on transcription and chromatin structure. For this, we used a MCF10-2A TetOn-CENPA-FLAG-HA cell line where high CENP-A expression can be induced by Doxycycline (Dox) treatment. This cell line is p53-defective (transduction with a dominant-negative (DN) p53 vector). Upon CENP-A overexpression, these cells progressively accumulate mesenchymal states. For the same nuclei, we jointly profiled single-nucleus RNA (snRNA) and single-nucleus ATAC (snATAC) data using 10X Multiome at days 10 and 24 (prior and after the mesenchymal states accumulation). In order to profile changes in transcription and cell states, we compared cells expressing either basal CENP-A levels (non-induced, control with no Dox), or high CENP-A levels (induced with 10 ng/ml Dox).
Project description:These samples are part of a study investigating cancer cell plasticity in colorectal cancer metastasis. Tumour microenvironment cell types and cancer cell states were identified using 10x Genomics Multiome (paired snRNA-seq + snATAC-seq). snRNA-seq data is uploaded here.
Project description:We performed single-nucleus ATAC-seq (snATAC-seq) to profile chromatin accessibility across eight brain regions from C57BL/6J male and female mice at 2, 9, and 18 months of age. Nuclei were isolated from frozen dissected brain regions, tagmented using barcoded Tn5, and sequenced using combinatorial barcoding or 10x Multiome (female samples). Our analysis reveals region- and age-dependent chromatin changes, highlighting regulatory programs associated with aging in specific brain cell types.
Project description:Here, we performed multiome sequencing (snRNA-seq + snATAC-seq) of human fetal liver samples from 3 trisomy 21 (Ts21) and 3 healthy foetuses (median age 14 post-conception weeks). The data set is composed of approximately 60,000 CD45+ foetal liver cells.