Project description:We report ATAC-seq for several A. thaliana accessions in healthy leaf tissue. As part of an investigation into the evolution of conserved noncoding sequences, our goal was to identify overlaps between regions of accessible chromatin and CNS. Manuscript in review. Biorxiv preprint doi: https://doi.org/10.1101/727669
Project description:This dataset belongs to a study in which we functionally dissect the cis-acting enhancer network and spatiotemporal transcriptional mechanisms that regulate WNT4 expression in the mouse mammary gland and the human breast. As part of these efforts, we identified GRHL as a luminal lineage transcription factor. In follow up work, we studied the interplay between GRHL2 and PGR in the presence and absence of progesterone signaling. This bulk RNAseq dataset allows investigation of the PGR signaling response in human T47DS breast cancer cells in either the presence or absence of GRHL2 gene expression. The 0, 4 and 24 hours timepoints in T47DS cells were first used and reported in https://doi.org/10.1101/2025.04.11.648333. The complete dataset, including the GRHL2 knockdown samples, was used and reported in https://doi.org/10.1101/2025.09.01.673508.
Project description:Light triggers chloroplast differentiation whereby the etioplast transforms into a photosynthesizing chloroplast and the thylakoid rapidly emerges. However, the sequence of events during chloroplast differentiation remains poorly understood. Here we used whole-seedling proteome data to quantify changes in protein abundances during the course of de-etiolation within the first four days of light exposure. This data complements quantitative lipid and (ultra)structural data described in Pipitone et al. (doi: https://doi.org/10.1101/2020.08.30.274043).
Project description:Raw sequencing data used in the paper \"A biological-computational cell lineage discovery platform based on duplex MIPs\" (doi: https://doi.org/10.1101/191296) involving single cells from the YUCLAT melanoma patient and DU145 cell line which cultured in standart condition as recommend. The single cells were prepared by CellCellector for DU145 and FACS for YUCLAT, amplified by RepliG WGA kit . Targeting sequencing library is cronstructed with duplex Molecular Inversion Probes wtih the protocol as described in the paper. Illumina NextSeq is used to sequence these libraries.
Project description:To explore the link between Alzheimer's disease (AD) and obisity, we profiled the transcriptional changes of the co-morbidites as well as indivitual morbidities on brain, immune and adipose tissue, at the single cell level. We observed effects of both morbidities, including AD-associated alterations in microglia and astrocytes in AD mice, and HFD-associated transcriptional changes in teh brain and the adipose. See details in: doi: https://doi.org/10.1101/2022.02.05.479219
Project description:We find that the 'high-confidence oscillating' genes initiate oscillations similarly as after release from L1 dauer. We performed high-throughput RNA sequencing on worms that were synchronously released from the dauer stage by refeeding on OP50. In particular, we investigate oscillatory gene expression as described in Hendriks et al., 2014 (doi: 10.1016/j.molcel.2013.12.013) and observe the re-initiation of oscillatory gene expression from stable expression with a time delay upon dauer exit. Experimental observation of the transitions between non-oscillatory and oscillatory states during the first 5 hours after dauer exit reveals that the oscillatory gene expression is arrested in a specific oscillator phase, similar to the observation we make in animals released from L1 arrest (see Meeuse et al., 2020, doi: https://doi.org/10.1101/755421).
Project description:We compared the transcriptional changes in the cells of the corpus callosum, focusing on the oligodendrocyte and microglia, between LPC and cuprizone mediate demyelination. We further compared the transcriptional phenotypes to human MS patient samples. We identified distinct disease-associated oligodendrocyte states with shared pathological changes to MS, and observed a common but altered remyelination state between the models. Microglia response to demyelination is highly conserved, but human MS-associated microglia exhibit significantly more heterogeneity than we found in the mouse models. (doi: https://doi.org/10.1101/2025.03.24.645058)
Project description:To facilitate new studies in the Amaryllidoideae subfamily, we present AmarylOmicBase, a unified transcriptomic database that integrates assemblies, annotations, and expression profiles from 39 studies, covering 27 Amaryllidoideae species and 4 hybrid cultivars across 13 genera of Amaryllidoideae. The AmarylOmicBase (v2, https://doi.org/10.5281/zenodo.20349158) includes de novo assemblies generated from published raw data using Trinity or IsoSeq workflows and provides standardized functional annotation (trinotate) and quantitative expression datasets. Preprint - https://doi.org/10.1101/2025.11.24.690262
Project description:To facilitate new studies in the Amaryllidoideae subfamily, we present AmarylOmicBase, a unified transcriptomic database that integrates assemblies, annotations, and expression profiles from 39 studies, covering 27 species and 4 hybrid cultivars across 13 genera of Amaryllidoideae. The AmarylOmicBase (v2, https://doi.org/10.5281/zenodo.20349158) consists of de novo assemblies generated from published raw data using Trinity or IsoSeq workflows and provides standardized functional annotation and quantitative expression datasets. Preprint - https://doi.org/10.1101/2025.11.24.690262
Project description:To facilitate new studies in the Amaryllidoideae subfamily, we present AmarylOmicBase, a unified transcriptomic database that integrates assemblies, annotations, and expression profiles from 39 studies, covering 27 species and 4 hybrid cultivars across 13 genera of Amaryllidoideae. The AmarylOmicBase (v2, https://doi.org/10.5281/zenodo.20349158) consists of de novo assemblies generated from published raw data using Trinity or IsoSeq workflows and provides standardized functional annotation and quantitative expression datasets. Preprint - https://doi.org/10.1101/2025.11.24.690262