Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Spatial mapping of transcriptomic and lineage plasticity in metastatic pancreatic cancer [CosMx]

ABSTRACT: Patients with treatment-refractory pancreatic cancer often succumb to widespread systemic metastases; however, the transcriptomic heterogeneity that underlies recalcitrance to therapy remains understudied, particularly in the spatial context. We constructed high-resolution spatial maps of transcriptional heterogeneity, clonal architecture and lineage plasticity using spatially resolved transcriptomics (SRT) from 13 primary cancers and 36 corresponding liver, lung, and peritoneal metastases, collected via a rapid (“warm”) autopsy program. To validate findings from our SRT dataset at single-cell resolution, we performed CosMX SMI profiling (Nanostring) on 7 samples from 3 patients, including primary and/or liver metastasis.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE277782 | GEO | 2025/02/21

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	GSE277782_CosMx_SCT_data.csv.gz	Csv
	GSE277782_Meta.data_CoxMx.csv.gz	Csv
	GSE277782_Run5961_PDAC_Slide1-polygons.csv.gz	Csv
	GSE277782_Run5961_PDAC_Slide1_CellLabels.tar.gz	Other

Items per page:

1 - 5 of 19

Similar Datasets

Spatial mapping of transcriptomic and lineage plasticity in metastatic pancreatic cancer

Project description:Patients with treatment-refractory pancreatic cancer often succumb to widespread systemic metastases; however, the transcriptomic heterogeneity that underlies recalcitrance to therapy remains understudied, particularly in the spatial context. We constructed high-resolution spatial maps of transcriptional heterogeneity, clonal architecture and lineage plasticity using spatially resolved transcriptomics from 55 individual samples of primary tumour, liver, lung, and peritoneal metastases, collected from 13 patients via a rapid ("warm") autopsy program. Additionally, we validated the lineage composition and spatial distribution using patient-derived xenograft (PDX) models generated from the primary tumours of two patients.

2025-02-21 | GSE274557 | GEO

IBD CosMx NanoString data from colonic mucosa

Project description:Inflammatory bowel diseases (IBDs) including ulcerative colitis (UC) and Crohn’s disease (CD) are chronic inflammatory diseases with increasing worldwide prevalence that show a perplexing heterogeneity in manifestations and response to treatment. We applied spatial transcriptomics at single-cell resolution (CosMx Spatial Molecular Imaging) to human inflamed and uninflamed intestine.

2023-06-13 | GSE234713 | GEO

CosMx 6175 human gene for human kidney primary non-function and immediate graft function.

Project description:This dataset includes CosMx spatial transcriptomic data from human kidney biopsies collected one hour post-transplantation. Patients were then monitored and categorized into two groups: immediate graft function (IGF) and primary nonfunction (PNF). PNF refers to cases where the transplanted kidney never functions. The biopsies were formalin-fixed, paraffin-embedded, and sectioned using a microtome. Sample processing followed NanoString's standard protocol, utilizing a pre-made 6,175-gene panel to detect the spatial location and expression levels of each gene, without any additional custom probes.

2024-11-29 | GSE282026 | GEO

Microglia - astrocyte cross-talk in the amyloid plaque niche of an Alzheimer’s disease mouse model as revealed by spatial transcriptomics (CosMx)

Project description:In this study, we characterize the transcriptomic alterations, cellular compositions, and signaling perturbations in the amyloid plaque niche in an AD mouse model using high-resolution spatial transcriptomics (CosMx and Stereo-seq). We discover a wide heterogeneity in the cellular composition of amyloid plaque niches, marked by an increase in microglial accumulation over time. We profile the alterations of glial cells as they are exposed to plaques, and conclude that the microglial response to plaques is consistent across different brain regions, while the astrocytic response is more heterogeneous. In turn, as the microglial density of plaque niches increases, astrocytes acquire a more neurotoxic phenotype and play a key role in inducing GABAergic signaling and decreasing glutamatergic signaling in neurons of the hippocampus. Taken together, we show that astrocytic signaling around plaque pathology is disrupted with increasing microglial density, which in turn induces an imbalance in synaptic signaling in neurons in the hippocampus.

2024-04-19 | GSE263791 | GEO

CosMx 6175 human gene for human kidney delayed graft function (DGF) and immediate graft function (IGF)

Project description:This dataset includes CosMx spatial transcriptomic data from human kidney biopsies collected one hour post-transplantation. Patients were then monitored and categorized into two groups: those with immediate graft function (IGF) and those with delayed graft function (DGF). DGF refers to cases where patients required dialysis for one or more weeks before kidney function was restored. The biopsies were formalin-fixed, paraffin-embedded, and sectioned using a microtome. Sample processing followed NanoString's standard protocol, utilizing a pre-made 6175-gene panel to detect the spatial location and expression levels of each gene, without any additional custom probes.

2025-02-15 | GSE282193 | GEO

IBD CosMx NanoString data from colonic mucosa

Project description:IBD CosMx NanoString data from colonic mucosa

| PRJNA982807 | ENA

Bulk RNAseq expression data of colon biopsies from intestinal mucosa of non-IBD controls and patients with Crohn's disease or ulcerative colitis

Project description:Ulcerative colitis and Crohn’s disease are chronic inflammatory intestinal diseases with perplexing heterogeneity in manifestations and response to treatment. While the molecular basis for this heterogeneity remains uncharacterized, single-cell technologies allow us to explore the transcriptional states within tissues at an unprecedented resolution which could further understanding of these complex diseases. Here, we apply single-cell RNA-sequencing to human inflamed intestine and show that the largest differences among patients are present within the myeloid compartment including macrophages and neutrophils. Using spatial transcriptomics in human tissue at single-cell resolution (CosMx Spatial Molecular Imaging) we spatially localized each of the macrophage and neutrophil subsets identified by single-cell RNA-sequencing and unravel further macrophage diversity based on their tissue localization. Finally, single-cell RNA-sequencing combined with single-cell spatial analysis reveals a strong communication network involving macrophages and inflammatory fibroblasts. Our data sheds light on the cellular complexity of these diseases and points towards the myeloid and stromal compartments as important cellular subsets for understanding patient-to-patient heterogeneity.

2023-06-20 | GSE235236 | GEO

Characterization of spatial heterogeneity in metastasized colorectal cancer by MALDI imaging

Project description:About 50% of colorectal cancer patients develop liver metastases. Patients with metastatic colorectal cancer have 5-year survival rates below 20% despite new therapeutic regimens. Tumor heterogeneity has been linked with poor clinical outcome, but was so far mainly studied via bulk genomic analyses. In this study we performed spatial proteomics via MALDI mass spectrometry imaging on six patient matched CRC primary tumor and liver metastases to characterize interpatient, intertumor and intratumor hetereogeneity. We found several peptide features that were enriched in vital tumor areas of primary tumors and liver metastasis and tentatively derived from tumor cell specific proteins such as annexin A4 and prelamin A/C. Liver metastases of colorectal cancer showed higher heterogeneity between patients than primary tumors while within patients both entities show similar intratumor heterogeneity sometimes organized in zonal pattern. Together our findings give new insights into the spatial proteomic heterogeneity of primary CRC and patient matched liver metastases.

2023-02-17 | PXD039409 | Pride

Copy number analysis of liver metastases from colorectal cancer

Project description:Almost half of all patients diagnosed with colorectal cancer develop liver metastases. The potential role of intra-individual metastatic heterogeneity remains poorly characterized. By high-resolution DNA copy number analyses and a novel approach based on pair-wise genetic distance, we examined the genetic heterogeneity among multiple liver metastatic deposits obtained from 45 patients subject to curative liver resection. We found large variation in intra-individual metastatic heterogeneity. A high level of heterogeneity was associated with poor patient survival. Patients with metachronous metastases who received chemotherapy had significantly more heterogeneity than chemonaïve patients.

2016-07-11 | GSE63490 | GEO

Microglia - astrocyte cross-talk in the amyloid plaque niche of an Alzheimer’s disease mouse model as revealed by spatial transcriptomics (Stereo-seq Spatial Transcriptomics)

2024-04-19 | GSE263789 | GEO