Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profile at single cell level of intratumor myeloid cells

ABSTRACT: Gene expression profile at single cell level of intratumor myeloid cells

PROVIDER: PRJNA864619 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR20727748.fastq.gz	Fastqsanger.gz
	SRR20727749.fastq.gz	Fastqsanger.gz
	SRR20727750.fastq.gz	Fastqsanger.gz
	SRR20727751.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Gene expression profile at single cell level of intratumor myeloid cells

Project description:Tumor-infiltrating myeloid cells play important roles in tumor development. We used single cell RNA sequencing (scRNA-seq) to analyze the diversity of myeloid cells in tumor.

2022-09-08 | GSE210177 | GEO

Gene expression profile at single cell level of fixed CD55+ myeloid progenitors

Project description:Gene expression profile at single cell level of fixed CD55+ myeloid progenitors

| PRJNA1046406 | ENA

Gene expression profile at single cell level of Bone Marrow Myeloid Progenitors

Project description:Gene expression profile at single cell level of Bone Marrow Myeloid Progenitors

| PRJNA953407 | ENA

Spatially Annotated Single Cell Sequencing for Unraveling Intratumor Heterogeneity

Project description:Intratumor heterogeneity is a major obstacle to effective cancer treatment. Current methods to study intratumor heterogeneity using single-cell RNA sequencing (scRNAseq) lack information on the spatial organization of cells. While state-of-the art spatial transcriptomics methods capture the spatial distribution, they either lack single cell resolution or have relatively low transcript counts. Here, we introduce spatially annotated single cell sequencing, based on the previously developed functional single cell sequencing (FUNseq) technique, to spatially profile tumor cells with deep scRNA-seq and single cell resolution. Using our approach, we profiled cells located at different distances from the center of a 2D epithelial cell mass. By profiling the cell patch in concentric bands of varying width, we showed that cells at the outermost edge of the patch responded strongest to their local microenvironment, behaved most invasively, and activated the process of epithelial-to-mesenchymal transition (EMT) to migrate to lowconfluence areas. We inferred cell-cell communication networks and demonstrated that cells in the outermost ~10 cell wide band, which we termed the invasive edge, induced similar phenotypic plasticity in neighboring regions. Applying FUNseq to spatially annotate and profile tumor cells enables deep characterization of tumor subpopulations, thereby unraveling the mechanistic basis for intratumor heterogeneity.

2022-02-10 | GSE196245 | GEO

Gene expression profile at single cell level of phagocytic myeloid cells in autochthonous lung cancer model

Project description:Gene expression profile at single cell level of phagocytic myeloid cells in autochthonous lung cancer model

| PRJNA898629 | ENA

Gene expression profile at single cell level of CD11b+/CD45+ myeloid cells from the brain (scRNA_male)

Project description:Gene expression profile at single cell level of CD11b+/CD45+ myeloid cells from the brain (scRNA_male)

| PRJNA909608 | ENA

Gene expression profile at single cell level of thalamus

Project description:Gene expression profile at single cell level of thalamus

| PRJNA942935 | ENA

Gene expression profile at single cell level of CD11b+/CD45+ myeloid cells from the brain (scRNA-seq_female)

Project description:Gene expression profile at single cell level of CD11b+/CD45+ myeloid cells from the brain (scRNA-seq_female)

| PRJNA845804 | ENA

Gene expression profile at single cell level of tumor infiltrating myeloid antigen presenting cells from tonsillar cancer patients

Project description:Gene expression profile at single cell level of tumor infiltrating myeloid antigen presenting cells from tonsillar cancer patients

| PRJNA907728 | ENA

Gene expression profile at single cell level of vestibular schwannoma

Project description:Gene expression profile at single cell level of vestibular schwannoma

| PRJNA960863 | ENA