Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment - 5' RNA sequencing and TCR sequencing

ABSTRACT: Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We created an immune map of breast cancer using single-cell RNA-seq data from 45,000 immune cells from eight breast carcinomas, as well as matched normal breast tissue, blood, and lymph node. We developed a preprocessing pipeline, SEQC, and a Bayesian clustering and normalization method, Biscuit, to address computational challenges inherent to single-cell data. Despite significant similarity between normal and tumor tissue-resident immune cells, we observed continuous phenotypic expansions specific to the tumor microenvironment. Analysis of paired single-cell RNA and T cell receptor (TCR) sequencing data from 27,000 additional T cells revealed the combinatorial impact of TCR utilization on phenotypic diversity. Our results support a model of continuous activation in T cells and do not comport with the macrophage polarization model in cancer, with important implications for characterizing tumor-infiltrating immune cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE114724 | GEO | 2018/06/28

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment 3' RNA Sequencing

Project description:Knowledge of immune cell phenotypes in the tumor microenvironment is essential for understanding mechanisms of cancer progression and immunotherapy response. We created an immune map of breast cancer using single-cell RNA-seq data from 45,000 immune cells from eight breast carcinomas, as well as matched normal breast tissue, blood, and lymph node. We developed a preprocessing pipeline, SEQC, and a Bayesian clustering and normalization method, Biscuit, to address computational challenges inherent to single-cell data. Despite significant similarity between normal and tumor tissue-resident immune cells, we observed continuous phenotypic expansions specific to the tumor microenvironment. Analysis of paired single-cell RNA and T cell receptor (TCR) sequencing data from 27,000 additional T cells revealed the combinatorial impact of TCR utilization on phenotypic diversity. Our results support a model of continuous activation in T cells and do not comport with the macrophage polarization model in cancer, with important implications for characterizing tumor-infiltrating immune cells.

2018-06-28 | GSE114725 | GEO

Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment - 5' RNA sequencing and TCR sequencing

Project description:Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment - 5' RNA sequencing and TCR sequencing

| PRJNA472381 | ENA

Ninety-six–hour starved peripheral blood mononuclear cell supernatant inhibited LA7 breast cancer stem cells induced tumor

Project description:The microenvironment of solid tumors such as breast cancer is heterogeneous and complex, containing different types of cell, including cancer stem cells and immune cells. We previously reported the immunoregulatory behavior of the human immune cell in a solid tumor microenvironment-like culture under serum starvation stress for 96 h. Here, we examined the effect of this culture-derived solution on breast cancer development in rats.

2023-02-21 | PXD039472 | Pride

The Glioma-Infiltrating T Cell Receptor Repertoire

Project description:While immune signaling has emerged as a defining feature of the glioma microenvironment, local selection of responding T cells and their anti-tumor potential as a population are difficult to measure directly in patients. High-throughput sequencing of T cell receptor repertoires (TCRseq) provides a population-wide statistical description of how T cells respond to disease. Here, we define new immunophenotypes in glioma based on TCRseq and RNA-Seq of tumor tissue, non-neoplastic brain tissue, and peripheral blood from patients. Using information theory, we characterize antigen-driven selection in glioma and its relationship with the expression of distinct immune-functional pathways in the tumor microenvironment. Finally, we identify a strong relationship between usage of certain TCR in peripheral blood and the divergence of the infiltrating T cell population from the peripheral repertoire. We anticipate that these immunophenotypes will be foundational to monitoring and predicting response to anti-glioma vaccines and immunotherapy. We characterized the T cell receptor (TCR) repertoires of 11 high-grade glioma patients, three low-grade glioma patients, and thee non-glioma patients by TCRseq of brain-infiltrating T cells and matching peripheral blood. In addition, we obtained gene expression profiles from brain tissue of each patient by RNA-Seq. We additionally measured the TCR repertoires exclusively from peripheral blood of one additional non-glioma patient.

2016-05-18 | E-GEOD-79338 | biostudies-arrayexpress

Development of an immune-related prognostic biomarker for triple-negative breast cancer

Project description:Triple-negative breast cancer represents approximately 15–20% of all reported breast cancer cases, and is characterized by a shorter survival time and higher mortality rates compared to other breast cancer sub-types. Tumor microenvironment (TME) refers to the internal and external environment of tumor tissue. Increasing evidence indicates that a tumor’s microenvironment is tightly associated with the immunological surveillance and defense during the development of breast cancer. Although oncology studies employing digital dissection methodologies have provided some insight on the biological features of TME, the development of methods to investigate the cellular composition of the tumor microenvironment remain an important research priority. In this study, we extracted whole transcriptome from 30 Triple-negative breast cancer (TNBC) patients and then used bioinformatics approaches to characterize cell type content in tumor tissue compared with para-cancerous tissue. We identified 4 types of enriched immune cells and 6 types of downregulated immune cells in the tumor tissue samples. After comprehensive bioinformatics analyses, we developed an ‘immune infiltration score’ (IIS) to quantitatively model immune cell infiltration in TNBC. To demonstrate the utility of the IIS, we used 2 independent datasets for validation. We found that patients with a higher IIS showing a longer progression-free survival time and significantly better prognosis than those with a lower IIS value. In sum, we explored the immune infiltration landscape in 30 TNBC patients and provided a novel and reliable biomarker IIS to evaluate the progression-free survival and prognosis in the TNBC patients.

2021-10-18 | E-MTAB-10886 | biostudies-arrayexpress

Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment

Project description:Single-cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment

| PRJNA472387 | ENA

Peripheral blood TCR clonotype diversity as an age-associated marker of breast cancer progression (TCR)

Project description:Immune escape is a prerequisite of tumor growth. We previously described a decline in intratumor activated GZMB+CD8+ T cells and T cell receptor (TCR) clonotype diversity in invasive compared to in situ (DCIS) breast carcinomas implying a role for decreasing TCR diversity in tumor progression. Here, we evaluated peripheral blood TCR clonotype diversity in breast cancer patients diagnosed with DCIS or de novo stage IV disease at different ages. We found that peripheral TCR diversity is associated with clinicopathologic, and peripheral immune status and it correlates with the frequency of CD8+ T cells in DCIS of young patients. These results provide new insights to the role of host immunity and breast cancer development in different aged women.

2024-03-13 | GSE261515 | GEO

Peripheral blood TCR clonotype diversity as an age-associated marker of breast cancer progression (blood)

2023-11-09 | GSE239933 | GEO

Peripheral blood TCR clonotype diversity as an age-associated marker of breast cancer progression (tumor)

2023-11-09 | GSE239934 | GEO

Dysfunctional CD8+ T cells form a proliferative, dynamically regulated compartment within human melanoma [scRNA-seq]

Project description:Tumor immune cell compositions play a major role in response to immunotherapy but the heterogeneity and dynamics of immune infiltrates in human cancer lesions remain poorly characterized. Here we identify conserved intratumoral CD4 and CD8 T cell behaviors in scRNA-seq data from 25 melanoma patients. We discover a large population of CD8 T cells showing continuous progression from an early effector “transitional” into a dysfunctional T cell state. CD8 T cells that express a complete cytotoxic gene set are rare, and TCR sharing data suggest their independence from the transitional and dysfunctional cell states. Notably, we demonstrate that dysfunctional T cells are the major intratumoral proliferating immune cell compartment and that the intensity of the dysfunctional signature is associated with tumor-reactivity. Our data demonstrate that CD8 T cells previously defined as exhausted, are in fact a highly proliferating, clonal and dynamically differentiating cell population within the human tumor microenvironment.

2018-12-27 | GSE123139 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data