ABSTRACT: Organoids from KPC pancreatic tumor tissue was treated with growth medium or conditional medium of mast cells treated with WT or BAG6 KO EVS of Pan02.
Project description:Extracellular vesicles (EVs) are produced and released by both healthy and malignant cells and bear markers indicative of ongoing biological processes. In the present study we utilized high resolution flow cytometry to detect EVs in the plasma of patients with pancreatic ductal adenocarcinoma (PDAC) and in the supernatants of PDAC and healthy control (HC) pancreatic organoid cultures. Using ultrafiltration and size exclusion chromatography, PDAC and HC pancreatic organoid EVs were isolated for mass spectrometry analysis. Proteomic and functional analysis showed a striking distinction in that EV proteins profiled in pancreatic cancer organoids were involved in vesicular transport and tumorigenesis while EV proteins in healthy organoids were involved in cellular homeostasis. Thus, the most abundant proteins identified in either case represented non-overlapping cellular programs. Tumor-promoting candidates LAMA5, SCDB1 and TENA were consistently upregulated in PDAC EVs. Validation of specific markers for PDAC EVs versus healthy pancreatic EVs will provide the biomarkers and enhanced sensitivity necessary to monitor early disease or disease progression, with or without treatment. Moreover, disease-associated changes in EV protein profiles provide an opportunity to investigate alterations in cellular programming with disease progression.
Project description:Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-year survival rate of 10-15% due to late-stage diagnosis and limited efficacy of existing treatments. This study utilized proteomics-based system modelling to generate multimodal datasets from various research models, including PDAC cells, spheroids, organoids, and tissues derived from murine and human samples. Identical mass spectrometry-based proteomics was applied across the different models. Preparation and validation of the research models and the proteomics were described in detail. The assembly datasets we present here may contribute to the data collection on PDAC, which will be useful for systems modeling, data mining, knowledge discovery in databases, and bioinformatics of individual models. Further data analysis may lead to generation of research hypotheses, predictions of targets for diagnosis and treatment and relationships between data variables. bridging the gap between preclinical research and clinical trials, thus enhancing the possibilities for discovering early diagnostic biomarkers and effective therapeutic targets.
Project description:Single cell ATAC-seq (scATAC-seq) was performed at various stages of differentiation of human pluripotent stem cells to 4 month old cerebral organoids. scATAC-seq was performed on the following days of differentiation: day 0 (pluripotent stem cell), day 4 (embryoid body), day 10 (neuroectoderm), day 15 (neuroepithelium), day 30 (1 month old cerebral organoid), day 60 (2 months old cerebral organoid), and day 120 (4 months old cerebral organoid).
Project description:Induced pluripotent stem cell (iPSC) derived organoid systems provide models to study human organ development. Single-cell transcriptome sequencing enables highly-resolved descriptions of cell state heterogeneity within these systems and computational methods can reconstruct developmental trajectories. However, new approaches are needed to directly measure lineage relationships in these systems. Here we establish an inducible dual channel lineage recorder, iTracer, that couples reporter barcodes, inducible CRISPR/Cas9 scarring, and single-cell transcriptomics to analyze state and lineage relationships in iPSC-derived systems. This data set include the spatial iTracer data of three slices of one cerebral organoid measured by 10x Visium.
Project description:In this project, we aimed to examine gene expression changes in intestinal organoids treated with the complement C5a receptor 1 (C5aR1) antagonist PMX205 either with or without irradiation. Intestinal organoids from wild-type C57BL/6 mice were cultured and plated. The following day, the media was supplemented with 5 μg/ml of PMX205 or a vehicle control, and after one hour, organoids were subjected to either 0 Gy or 9 Gy of radiation. Samples were collected after 24 and 48 hours, and RNA was extracted and processed for RNA sequencing.
Project description:Human neural organoid models have become an important tool for studying neurobiology. In this work, we compared Matrigel to an N-cadherin peptide-functionalized gelatin methacryloyl hydrogel (termed GelMA-Cad) for culturing cortical neural organoids. Specifically, we compare five materials: (1) Matrigel, (2) GelMA-Cad with high crosslinker (HC), (3) GelMA-Cad with low crosslinker (LC), (4) GelMA HC and (5) GelMA LC. We profiled these organoids at the earliest stages to understand potential differences in radial glia formation.
Project description:Human neural organoid models have become an important tool for studying neurobiology. In this work, we compared Matrigel to an N-cadherin peptide-functionalized gelatin methacryloyl hydrogel (termed GelMA-Cad) for culturing cortical neural organoids. Specifically, we compare five materials: (1) Matrigel, (2) GelMA-Cad with high crosslinker (HC), (3) GelMA-Cad with low crosslinker (LC), (4) GelMA HC and (5) GelMA LC. We determined that both mechanical properties and peptide presentation can tune cell fate and diversity in gelatin-based matrices during differentiation. Of particular note, cortical organoids cultured in GelMA-Cad produce higher numbers of neurogenic and ciliated radial glia and upper-layer excitatory neurons—an important population for modeling neurodegenerative disease—compared to GelMA and Matrigel controls.
Project description:Induced pluripotent stem cell (iPSC) derived organoid systems provide models to study human organ development. Single-cell transcriptome sequencing enables highly-resolved descriptions of cell state heterogeneity within these systems and computational methods can reconstruct developmental trajectories. However, new approaches are needed to directly measure lineage relationships in these systems. Here we establish an inducible dual channel lineage recorder, iTracer, that couples reporter barcodes, inducible CRISPR/Cas9 scarring, and single-cell transcriptomics to analyze state and lineage relationships in iPSC-derived systems. This data set include the iTracer data of 12 cerebral organoids.