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Open-ST: High-resolution spatial transcriptomics in 3D [xenium]

ABSTRACT: Spatial transcriptomics (ST) methods have been developed to unlock molecular mechanisms underlying tissue development, homeostasis, or disease. However, there is a need for easy-to-use, high-resolution, cost-efficient, and 3D-scalable methods. Here, we report Open-ST, a sequencing-based, open-source experimental and computational resource to address these challenges and to study the molecular organization of tissues in 3D. In mouse brain, Open-ST captured transcripts at subcellular resolution and reconstructed cell types. In primary tumor and patient-matched healthy/metastatic lymph nodes, Open-ST captured the diversity of immune, stromal and tumor populations in space. Distinct cell states were organized around cell-cell communication hotspots in the tumor, but not the metastasis. Strikingly, the 3D reconstruction and multimodal analysis of the metastatic lymph node revealed spatially contiguous structures not visible in 2D and potential biomarkers precisely at the 3D tumor/lymph node boundary. We anticipate Open-ST to accelerate the identification of spatial molecular mechanisms in 2D and 3D.

ORGANISM(S): Homo sapiens

PROVIDER: GSE263498 | GEO | 2024/06/23

REPOSITORIES: GEO

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Open-ST: High-resolution spatial transcriptomics in 3D

Project description:Spatial transcriptomics (ST) methods have been developed to unlock molecular mechanisms underlying tissue development, homeostasis, or disease. However, there is a need for easy-to-use, high-resolution, cost-efficient, and 3D-scalable methods. Here, we report Open-ST, a sequencing-based, open-source experimental and computational resource to address these challenges and to study the molecular organization of tissues in 3D. In mouse brain, Open-ST captured transcripts at subcellular resolution and reconstructed cell types. In primary tumor and patient-matched healthy/metastatic lymph nodes, Open-ST captured the diversity of immune, stromal and tumor populations in space. Distinct cell states were organized around cell-cell communication hotspots in the tumor, but not the metastasis. Strikingly, the 3D reconstruction and multimodal analysis of the metastatic lymph node revealed spatially contiguous structures not visible in 2D and potential biomarkers precisely at the 3D tumor/lymph node boundary. We anticipate Open-ST to accelerate the identification of spatial molecular mechanisms in 2D and 3D.

2024-06-23 | GSE251926 | GEO

Clinical randomized study of 3D and 2D laparoscopic radical resection for colorectal cancer.

Project description:Interventions: 2D group:2D laparoscopic surgery;3D group:3D laparoscopic surgery Primary outcome(s): operation time;The amount of bleeding;Number of lymph nodes;Postoperative gastrointestinal function recovery time;Postoperative complications Study Design: Randomized parallel controlled trial

| 2663755 | ecrin-mdr-crc

Polymer-mediated oligo delivery enables construction of spatially encoded 3D cultures for analysis by single-cell RNA sequencing

Project description:Spatial transcriptomics has been widely used to capture gene expression profiles, which are realised as a two-dimensional (2D) projection of RNA captured from tissue sections. Three-dimensional (3D) cultures such as spheroids and organoids are highly promising alternatives to overly simplistic and homogeneous 2D cell culture models, but existing spatial transcriptomic platforms do not have sufficient resolution and RNA capture efficiency for robust analysis of 3D cultures. We present a transfection-based method for fluorescent DNA barcoding of cell populations, and the subsequent construction of spheroidal cellular architectures using barcoded cells in a layer-by-layer approach. For the first time, changes in gene expression throughout this 3D culture architecture are interrogated using multiplex single-cell RNA sequencing in which DNA barcodes encode the spatial positioning of cells. We show that transfection with fluorophore-conjugated barcode oligonucleotides enables both imaging and sequencing at single-cell resolution, providing spatial maps of gene expression and drug response. Additionally, we show that fluorescently-tagged DNA barcodes support correlative imaging studies such as quantitative microelastography (QME) to capture information about mechanical heterogeneity in 3D cultures, also with spatial resolution. The ability to create customised, spatially encoded cellular assemblies is a general approach that can resolve spatial differences in gene expression in 3D cell culture models.

2024-04-07 | GSE245416 | GEO

Integrated proteome and phosphoproteome analysis of gastric adenocarcinoma reveals molecular signatures capable of stratifying patient outcome

Project description:Lymph node metastasis is one of the main causes for the low survival rate of gastric cancer patients. Exploring key proteins players in the progression of gastric adenocarcinoma (GAC) may provide new prognostic parkers and therapeutic strategies. we applied proteomic analysis to compare tumor tissues from GAC patients with or without lymph node metastasis, and captured unique molecular features of GAC patients with LNM. Analysis of the phosphoproteome provided a snapshot of abnormal phosphorylation signaling pathways and abnormal kinases activities. Furthermore, we found that TNXB and SPON1, two ECM proteins are associated with LNM status in GAC patients. Thus, our study suggests a number of proteins and kinases that has the potential to serve as prognosis markers to predict patient outcome.

2023-01-05 | PXD033622 | Pride

Clinical proteomics analysis using Data Independent Acquisition-Mass Spectrometry (DIA-MS) identified classifiers for molecular characterization of Lymphoma

Project description:In this study, we conducted a proteomics analysis on 109 fresh-frozen lymph node samples from clinical patients, covering a comprehensive suite of lymphoma subtypes including B-NHL, T-NHL, HL, Lymphadenitis, Tumor metastatic lymph node (TLN), and Non-neoplastic lymph node (TNM: N0).

2020-01-15 | PXD017096 | iProX

Melanoma-derived small extracellular vesicles induce lymphangiogenesis and metastasis by a NGFR-dependent mechanism

Project description:Secreted extracellular vesicles are known to influence the tumor microenvironment and promote metastasis. In this work, we have analyzed the involvement of extracellular vesicles in establishing the lymph node pre-metastatic niche by melanoma cells. We found that small extracellular vesicles (sEVs) derived from highly metastatic melanoma cell lines spread broadly through the lymphatic system and are taken up by lymphatic endothelial cells reinforcing lymph node metastasis. Melanoma-derived sEVs induce lymphangiogenesis, a hallmark of pre-metastatic niche formation, in vitro and in lymphoreporter mice in vivo. Analysis of involved factors demonstrated that the neural growth factor receptor (NGFR) is secreted in melanoma-derived small extracellular vesicles and shuttled to lymphatic endothelial cells inducing lymphangiogenesis and tumor cell adhesion through the activation of ERK and NF-B pathways and ICAM1 expression. Importantly, ablation or inhibition of NGFR in sEVs reversed the lymphangiogenic phenotype, decreased melanoma lymph node metastasis and extended mice survival. Importantly, analysis of NGFR expression in lymph node metastases and matched primary tumors shows that levels of MITF+NGFR+ lymph node metastatic cells are correlated with disease outcome. Our data support that NGFR is secreted in sEVs favoring lymph node pre-metastatic niche formation and lymph node metastasis in melanoma.

2021-07-16 | PXD024108 | Pride

Melanoma-derived small extracellular vesicles induce lymphangiogenesis and metastasis through a NGFR-dependent mechanism

Project description:Secreted extracellular vesicles are known to influence the tumor microenvironment and promote metastasis. In this work, we have analyzed the involvement of extracellular vesicles in the establishment of lymph node pre-metastatic niches by melanoma cells. We found that small extracellular vesicles (sEVs) derived from highly metastatic melanoma cell lines spread broadly through the lymphatic system and were taken up by lymphatic endothelial cells, reinforcing lymph node metastasis. Melanoma-derived sEVs induce lymphangiogenesis, a hallmark of pre-metastatic niche formation, in vitro and in lymphoreporter mice in vivo. We found that neural growth factor receptor (NGFR) is secreted in melanoma-derived small extracellular vesicles and shuttled to lymphatic endothelial cells, inducing lymphangiogenesis and tumor cell adhesion through the activation of ERK and NF-B pathways and ICAM1 expression. Importantly, ablation or inhibition of NGFR in sEVs reversed the lymphangiogenic phenotype, decreased melanoma lymph node metastasis and extended the survival. Importantly, analysis of NGFR expression in lymph node metastases and matched primary tumors shows that levels of MITF+NGFR+ lymph node metastatic cells are correlated with disease outcome. Our data support the idea that NGFR secreted in sEVs favors lymph node pre-metastatic niche formation and lymph node metastasis in melanoma

2021-08-05 | PXD024852 | Pride

Gene expression profile of purified tumor cells from primary breast cancer tumor tissues and metastatic lymph nodes

Project description:Gene expression profiling of whole tumor tissues consists of a heterogeneous population of tumor and stromal cells. We performed gene expression profiling of flow cytometry purified tumor cells from primary breast tumor tissues and metastatic lymph nodes in order to segregate tumor signatures from stromal signatures. The goal of this set of expression profiles was to understand the underlying mechanism of lymph node metastatic processes by comparing primary breast tumor cell gene expression profiles with that of lymph node metastatic tumor cells. Keywords: breast cancer, lymph node metastasis

2012-07-07 | GSE30480 | GEO

Gene expression profile of A549 cells from tissue of 4D model predicts poor prognosis in lung cancer patients

Project description:Tumor microenvironment plays an important role in regulating cell growth and metastasis. Recently we developed an ex vivo lung cancer model (4D) that forms perfusable tumor nodules on a lung matrix that mimics human lung cancer histopathology and protease secretion pattern. We compared the gene expression profile (Human OneArray v5 chip) of A549 cells, a human lung cancer cell line, grown on petri dish (2D), and of the same cells grown in the matrix of our ex vivo model (4D). Furthermore, we obtained gene expression data of A549 cells grown on petri dish (2D) and matrigel (3D) from a previous study and compared the 3D expression profile with that of 4D. Expression array analysis showed 2954 genes differentially expressed between 2D and 4D. Gene Ontology (GO) analysis showed up-regulation of several genes associated with extracellular matrix, polarity, and cell fate and development. Moreover, expression array analysis of 2D versus 3D showed 269 genes that were most differentially expressed, with only 35 genes (13%) having similar expression patterns as observed between 2D and 4D. Finally, the differential gene expression signature of 4D cells (versus 2D) correlated significantly with poor survival in patients with lung cancer (n=1492), while the expression signature of 3D versus 2D correlated with better survival in lung cancer patients. Since patients with larger tumors tend to have worse survival, the ex vivo 4D model may offer additional features over the 3D model, to better mimic of natural progression of tumor growth in lung cancer patients. We compared the gene expression profile (Human OneArray v5 chip) of A549 cells, human lung cancer cell line, grown on petri dish (2D) and same cells grown in the matrix of our ex vivo model (4D).

2013-09-16 | E-GEOD-45142 | biostudies-arrayexpress

Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity [Xenium]

Project description:While animal models have provided key insights into conserved mechanisms of how the lung forms during development, human-specific developmental mechanisms are not always captured. To fully appreciate how developmental defects and disease states alter the function of the lungs, studies in human lung models are important. Here, we sequenced >150,000 single single-cells from 19 healthy human fetal lung tissues from gestational weeks 10-19 and identified at least 58 unique cell types/states contributing to the developing lung. We captured novel dynamic developmental trajectories from various progenitor cells that give rise to ciliated, pulmonary neuroendocrine cells, and other specialized cell types. We also identified four CFTR-expressing progenitor cell types and pinpointed the temporal emergence and spatial localization of these cell types. These developmental dynamics reveal broader epithelial cell plasticity and novel lineage hierarchies that were not previously reported. Combined with spatial transcriptomics, we identified both cell autonomous and non-cell autonomous signalling pathways that may dictate the temporal and spatial emergence of cell lineages. Finally, we showed that human pluripotent stem cell (hPSC)-derived fetal lung models capture similar cell lineage trajectories specifically through progenitor cells that express abundant levels of the CFTR gene. Overall, this study provides a comprehensive single-cell atlas of the developing human lung, outlining the temporal and spatial complexities of cell lineage development and benchmarks fetal lung cultures from hPSC differentiations to similar developmental window.

2024-06-04 | GSE264425 | GEO

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