Project description:In order to understand the genomic and transcriptomic variability of the axolotl pallium, as well as reconstruct their intrinsic gene regulatory networks, we performed single-nucleus multiome sequencing (RNA and open chromatin) of whole axolotl pallium.
Project description:In order to understand the relationship between cellular diversity and pallium regions, single-nucleus RNA-seq (snRNA-seq) was performed in 3 microdissected regions from the axolotl pallium: medial, dorsal, and lateral.
Project description:The goal of this experiment is to track cellular regeneration after a dorsal injury to the axolotl pallium. To this end, we employed Div-seq, that is, performed snRNA-seq on cells labelled with EdU, which have thus recently replicated. We performed this in a time course, in order to observed the cell populations that were generated as regeneration progressed.
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:This study was undertaken to assess transcriptional and epigenetic heterogeneity a the level of individual cells within neuroblastoma cell lines, and to compare cell lines with MYCN amplificaion to cell lines without MYCN amplification. Methods: We used 10X Genomics multiome sequencing technology to perform joint gene expression and ATAC profiling on thousands of nuclei isolated from the following human neuoblastoma cell lines: SHSY5Y, SK-N-AS, SK-N-SH, SK-N-DZ, Be-2c, and CHP134. Results: We found considerable gene expression and epigeneic heterogeneity both within and between neuroblastoma cell lines. Conclusion: Joint single-nucleus RNA sequencing and single-nucleus ATAC sequencing has demonsrated that neuroblastoma cell lines are heterogeneous, which may have implications for therapeutic strategies.
Project description:To investigate the role of MYCN in neonatal heart development, we performed Single nucleus multiome (GEX and ATAC) on isolated nuclei from control and Mycn conditional knockout (CKO) P4 mouse ventricles. Clustering analysis assigned cardiomyocytes (CMs) into five previously defined neonatal states (CM1–CM5). CKO hearts showed a marked depletion of proliferative CM2 and CM4 populations and an increase in differentiated CM1 cells. G2/M phase CMs were significantly reduced in the CKO, particularly within CM4. RNA velocity analysis revealed disrupted transitions from immature CM states to mature ones in the CKO. Latent time and metabolic profiling further confirmed a shift toward a mature, non-regenerative phenotype, with upregulation of hypertrophic and fatty acid oxidation pathways and downregulation of glycolysis and cell cycle genes. These results highlight MYCN’s role in maintaining proliferative, regenerative CM states during neonatal heart development.
Project description:We report the single nucleus multiome (RNAseq+ATACseq) of a female mouse pituitary sample. This dataset was generated for supporting the development of a data-driven batch inference method and transforms often heterogeneous data matrices obtained from different samples into a uniformly cell-type annotated and integrated dataset.