Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

71 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Spatial transcriptomics of human colorectal cancer liver metastatic samples

ABSTRACT: These samples are part of a study investigating cancer cell plasticity in colorectal cancer metastasis. Spatial transcriptomics was performed using 10x Genomics Visium on colorectal cancer liver metastatic patient samples.

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER:

PROVIDER: E-MTAB-13655 | biostudies-arrayexpress |

SECONDARY ACCESSION(S): E-MTAB-13651

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Mapping immune development across tissues in the human fetus - 10X spatial transcriptomics

Project description:To study the spatial localisations of the cell populations in an early haematopoietic tissue and lymphoid organs critical for T and B cell development, we profiled fetal liver, thymus and spleen from 3 donors at 18 PCW with sequencing-based spatial transcriptomics (10x Genomics Visium).

2022-05-12 | E-MTAB-11341 | biostudies-arrayexpress

RNA Spatial Sequencing of Colorectal Liver Metastases regarding their Histopathological Growth Patterns

Project description:Molecular characterization of tissue areas in Colorectal Cancer Liver Metastases (CRCLM) and adjacent healthy liver tissue focusing on the comparison between the two main histopathological growth patterns (HGPs): desmoplastic HGP and replacement HGP with the intent to identify possible biomarkers or treatment targets especially for the more aggressive replacement HGP.

2023-01-05 | E-MTAB-12043 | biostudies-arrayexpress

Spatially resolved multiomics of human cardiac niches - Visium

Project description:Using Multiome and previously published sc/snRNA-seq data, we studied eight anatomical regions of the human heart including left and right ventricular free walls (LV and RV), left and right atria (LA and RA), left ventricular apex (AX), interventricular septum (SP), sino-atrial node (SAN) and atrioventricular node (AVN). For the first time, we profile the cells of the human cardiac conduction system, revealing their distinctive repertoire of ion channels, G-protein coupled receptors and cell-cell interactions. We map the identified cells to spatial transcriptomic data to discover cellular niches within the eight regions of the heart.

2023-06-01 | E-MTAB-12975 | biostudies-arrayexpress

Spatial transcriptomics (Visium, 10x Genomics) data for human Idiopathic Pulmonary Fibrosis (IPF) and control lung tissue

Project description:Visium (10x Genomics) spatially resolved transcriptomics data generated from normal and Idiopathic Pulmonary Fibrosis (IPF) lung parenchyma tissues collected from human donors. The fresh-frozen tissues that were analyzed were from four healthy control (HC) subjects and from four IPF patients. For each IPF patient, three different tissues were selected representing areas of mild (“B1”), moderate (“B2\") or severe (“B3”) fibrosis within the same donor, as determined by histological inspection of Hematoxylin and Eosin (H&E)-stained samples. Data from a total of 25 tissue sections, from 16 unique lung tissue blocks. The lung tissues were collected post-mortem (HC donors) or during lung transplant/resection (IPF patients) after obtaining informed consent. The study protocols were approved by the local human research ethics committee (HC: Lund, permit number Dnr 2016/317; IPF: Gothenburg, permit number 1026-15) and the samples are anonymized and cannot/should not be traced back to individual donors.

2024-05-28 | E-MTAB-14121 | biostudies-arrayexpress

The human gastrointestinal tract through space and time- Fetal Spatial transcriptomics

Project description:Single-cell RNAseq (scRNAseq) and paired VDJ analysis and spatial transcriptomics, we create the first comprehensive cell atlas of the healthy developing, paediatric and adult human gut, including 347,980 cells from up to 10 distinct anatomical sites. We use this data to trace the cellular composition of the gut throughout life, define novel cell markers and cell-cell interactions. We find four neuronal cell populations in the developing enteric nervous system, with expression patterns indicative of irritable bowel syndrome and Hirschsprung’s disease, and identify key cell players and communication networks initiating lymphoid structure formation in early human development.

2021-04-30 | E-MTAB-10386 | biostudies-arrayexpress

Spatial transcriptomics of 3-month-old and 18-month-old mouse ovarian and uterine tissues

Project description:We used Visium technology (10X Genomics) to infer cell-to-cell communication in ovarian and uterine tissue based on spatial proximity. Organs from 3-month mice in diestrus and 18-month old mice were collected and frozen in OCT. 10 µm thick tissue slices were placed on Visium Spatial Gene Expression Slides (10X Genomics) and stained with Hematoxylin and Eosin (H&E). Libraries were prepared by manufacturer’s recommendations and sequenced on NovaSeq6000. For samples that were sequenced in two runs, both sequencing runs were merged when running spaceranger (10X Genomics). Original nd2 microscopy images and results of scRNA-seq (linked datasets) and spatial transcriptomics analysis are available at Biostudies (S-BIAD482 and S-BSST852).

2024-07-23 | E-MTAB-12105 | biostudies-arrayexpress

Spatial transcriptomic analysis of Sonic Hedgehog Medulloblastoma identified that loss of heterogeneity and promotion of differentiation underlies the response to CDK4/6 inhibition

Project description:We used spatially resolved transcriptomics to define the cellular diversity within a sonic hedgehog (SHH) patient-derived model of Medulloblastoma (MB) and identify how cells specific to a transcriptional state or spatial location are pivotal in responses to treatment with the CDK4/6 inhibitor, Palbociclib. Our analysis reveals that SHH tumour in the mouse brain contains multiple malignant transcriptional states, recapitulating the extent of intratumoural cellular diversity identified in primary human SHH MB. Our study offers new insight into the previously described features of CDK4/6 inhibition in MB, with Palbociclib treatment inducing neuronal differentiation across all remaining cell types comprising the bulk of the SHH patient-derived orthotropic xenograft model. This study is, to the best of our knowledge, the first spatially resolved gene expression atlas of SHH PDOX MB and acts as proof-of-principle for the use of ST-seq in identifying spatially-organised tumour heterogeneity of MB.

2022-06-16 | E-MTAB-11720 | biostudies-arrayexpress

A robust experimental and computational framework analysis at multiple resolutions, modalities and coverages

Project description:We assessed the utilities of integrating four advanced sequencing and multiplex imaging technologies to study cancer-immune cell interactions. These four technologies include single-cell RNA sequencing and Spatial Transcriptomic (both measuring over >20,000 genes), RNA In Situ Hybridization (multiplex 4-12 genes) and Opal multiplex protein staining (4-9 proteins). We evaluated the approach to discover and validate cell-cell interaction in situ through in-depth analysis of two types of cancer, basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), which account for over 70% of skin cancer cases.

2022-07-26 | E-MTAB-11932 | biostudies-arrayexpress

snRNA-seq data from single cell multiomics (paired snRNA-seq+snATAC-seq) of human colorectal cancer liver metastatic samples

Project description:These samples are part of a study investigating cancer cell plasticity in colorectal cancer metastasis. Tumour microenvironment cell types and cancer cell states were identified using 10x Genomics Multiome (paired snRNA-seq + snATAC-seq). snRNA-seq data is uploaded here.

2025-04-22 | E-MTAB-13651 | biostudies-arrayexpress

snATAC-seq data from single cell multiomics (paired snRNA-seq+snATAC-seq) of human colorectal cancer liver metastatic samples

2025-04-22 | E-MTAB-13652 | biostudies-arrayexpress