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Links from GEO DataSets

Items: 20

1.

Spatial coupling of microbes and immune cells in solid malignancies

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL19057 GPL18573
57 Samples
Download data
Series
Accession:
GSE155725
ID:
200155725
2.

Spatial coupling of microbes and immune cells in solid malignancies.

(Submitter supplied) Microbes are an integral component of the tumor microenvironment (TME). However, mechanisms that direct microbial recruitment into tumors and the spatial relationship between intratumoral microbes and host cells remain poorly understood. Here, we show that microbes and immune cells have parallel spatial distribution and that the presence of intratumoral microbes is dependent on T cells. Analysis of human pancreatic ductal adenocarcinomas (PDAC) and lung adenocarcinomas (LUAD) revealed a spatially heterogeneous distribution of lipopolysaccharide (LPS) that is associated with T cell infiltration. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
16 Samples
Download data: TXT
Series
Accession:
GSE213736
ID:
200213736
3.

Spatial coupling of microbes and immune cells in solid malignancies [Cold_hot_tumors_mouse]

(Submitter supplied) Solid tumors are composed of cancer cells and host immune cells that are distributed in a non-uniform pattern. Growing evidence shows that intratumoral microbes are associated with immune microenvironments in cancer. However, mechanisms that direct the recruitment of microbes to tumors remain poorly understood. Here, we show that intratumoral infiltration of immune cells and microbes are heterogeneous, and the distribution of microbes within tumors are orchestrated by the spatial heterogeneity of intratumoral lymphoid populations. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
12 Samples
Download data: TXT
Series
Accession:
GSE189925
ID:
200189925
4.

Spatial coupling of microbes and immune cells in solid malignancies [LCM_cold_hot_tumor_nest]

(Submitter supplied) Solid tumors are composed of cancer cells and host immune cells that are distributed in a non-uniform pattern. Although this spatial heterogeneity may reflect mutational variations in cancer cells, mechanisms that direct the recruitment of immune cells to distinct regions within a tumor remain poorly understood. Here, we show that microbial-host interactions define tumor nests enriched in immune cells, and the distribution of microbes within tumors parallels the spatial heterogeneity of intratumoral lymphoid and myeloid cell populations. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
20 Samples
Download data: TXT
5.

Spatial coupling of microbes and immune cells in solid malignancies [LCM_stroma_epithelium]

(Submitter supplied) Solid tumors are composed of cancer cells and host immune cells that are distributed in a non-uniform pattern. Although this spatial heterogeneity may reflect mutational variations in cancer cells, mechanisms that direct the recruitment of immune cells to distinct regions within a tumor remain poorly understood. Here, we show that microbial-host interactions define tumor nests enriched in immune cells, and the distribution of microbes within tumors parallels the spatial heterogeneity of intratumoral lymphoid and myeloid cell populations. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
16 Samples
Download data: TXT
6.

Spatial coupling of microbes and immune cells in solid malignancies [Whole_slides]

(Submitter supplied) Solid tumors are composed of cancer cells and host immune cells that are distributed in a non-uniform pattern. Although this spatial heterogeneity may reflect mutational variations in cancer cells, mechanisms that direct the recruitment of immune cells to distinct regions within a tumor remain poorly understood. Here, we show that microbial-host interactions define tumor nests enriched in immune cells, and the distribution of microbes within tumors parallels the spatial heterogeneity of intratumoral lymphoid and myeloid cell populations. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
9 Samples
Download data: TXT
7.

Exploring the effects of DPP inhibition on the tumor immune landscape using RNAseq

(Submitter supplied) We examined the effects of an oral small molecule DPP inhibitor (BXCL701) on PDAC tumor growth and tumor immune landscape using mT3-2D and Pan02 subcutaneous syngeneic murine models in C57BL/6 mice
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21103
42 Samples
Download data: CSV, XLSX
Series
Accession:
GSE173441
ID:
200173441
8.

Spatially resolved multi-omics single-cell analyses inform mechanisms of immune-dysfunction in pancreatic cancer

(Submitter supplied) As pancreatic ductal adenocarcinoma (PDAC) continues to be recalcitrant to therapeutic interventions including poor response to immunotherapy, albeit effective in other solid malignancies, a more nuanced understanding of the immune microenvironment in PDAC is urgently needed. Using a spatially-resolved multimodal single cell approach we unveil a detailed view of the immune micromilieu in PDAC with specific emphasis on the correlation of immune subtypes with patient survival. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21697
8 Samples
Download data: MTX, TSV
Series
Accession:
GSE205354
ID:
200205354
9.

Spatially Resolved Multi-Omics Single-Cell Analyses Inform Mechanisms of Immune Dysfunction in Pancreatic Cancer

(Submitter supplied) As pancreatic ductal adenocarcinoma (PDAC) continues to be recalcitrant to therapeutic interventions including poor response to immunotherapy, albeit effective in other solid malignancies, a more nuanced understanding of the immune microenvironment in PDAC is urgently needed. Using a spatially-resolved multimodal single cell approach we unveil a detailed view of the immune micromilieu in PDAC with specific emphasis on the correlation of immune subtypes with patient prognosis. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
18 Samples
Download data: CSV, MTX, TSV
Series
Accession:
GSE205049
ID:
200205049
10.

Tumor microbiome contributes to an aggressive phenotype in the basal-like subtype of pancreatic cancer

(Submitter supplied) Despite the uniform mortality in pancreatic adenocarcinoma (PDAC), clinical disease heterogeneity exists with limited genomic differences. A highly aggressive tumor subtype termed basal-like was identified to show worse outcomes and higher inflammatory responses. Here, we focus on the microbial effect in PDAC progression and present a comprehensive analysis of the tumor microbiome in different PDAC subtypes. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20795
62 Samples
Download data: TXT
11.

Single-cell transcriptomics analysis of pancreatic primary tumor and metastatic biopsy tissues

(Submitter supplied) The single-cell RNA profiles of dissociated 10 pancreatic primary tumors and 6 metastatic biopsies were obtained using the 10x Genomics Chromium platform
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
16 Samples
Download data: CSV, MTX, TSV
Series
Accession:
GSE154778
ID:
200154778
12.

Retrospective gene expression analysis of human RNA samples from Hepatocellular Carcinoma in relation with survival

(Submitter supplied) The aim of this study is to identify by Next Generation Sequencing - RNA-seq profiling a molecular signature of Hepatocellular Carcinoma samples that correlates with survival. The samples were retrospectively derived from hepatocellular carcinoma tissue as well as non-tumor tissue from the livers of the same patients. The bioinformatical analysis of 32 pairs RNA-seq datasets were obtained from human RNAs on Illumina Hiseq-PE150. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
64 Samples
Download data: XLS
13.

Disease Severity and Immune Activity Relate to Inter-Kingdom Gut Microbiome States in Ethnically Distinct Ulcerative Colitis Patients

(Submitter supplied) Significant gut microbiota heterogeneity exists amongst UC patients though the clinical implications of this variance are unknown. European and South Asian UC patients exhibit distinct disease risk alleles, many of which regulate immune function and relate to variation in gut microbiota β-diversity. We hypothesized ethnically distinct UC patients exhibit discrete gut microbiotas with unique luminal metabolic programming that influence adaptive immune responses and relate to clinical status. more...
Organism:
Bacteria; human gut metagenome; Archaea
Type:
Other
Platform:
GPL21523
34 Samples
Download data: CEL
Series
Accession:
GSE78724
ID:
200078724
14.

Transcriptional profiling of bulk tumor samples from implanted T cell low and T cell high mouse pancreatic tumors

(Submitter supplied) Purpose: Use RNA-seq strategy to characterize the differentially expressed genes in T cell low and high mouse pancreatic tumors in order to identify factors contributing to the differential abundance of tumor infiltrating T cells. Methods: Subcutaneously implanted T cell low and high pancreatic tumors were utilized for the preparation of RNA-seq libraries from both bulk tumors.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21626
37 Samples
Download data: TXT
Series
Accession:
GSE109971
ID:
200109971
15.

Epigenetic profiling of sorted tumor cells from implanted T cell low and T cell high mouse pancreatic tumors

(Submitter supplied) Purpose: Use ATAC-seq strategy to characterize the differentially openned chromatin region in T cell low and high mouse pancreatic tumors in order to identify factors contributing to the differential abundance of tumor infiltrating T cells. Methods: Subcutaneously implanted T cell low and high pancreatic tumors were utilized for the preparation of ATAC-seq libraries from sorted tumor cells.
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL21103
15 Samples
Download data: TXT
Series
Accession:
GSE109935
ID:
200109935
16.

Transcriptional profiling of sorted tumor cells from implanted T cell low and T cell high mouse pancreatic tumors

(Submitter supplied) Purpose: Use RNA-seq strategy to characterize the differentially expressed genes in T cell low and high mouse pancreatic tumors in order to identify factors contributing to the differential abundance of tumor infiltrating T cells. Methods: Subcutaneously implanted T cell low and high pancreatic tumors were utilized for the preparation of RNA-seq libraries from sorted tumor cells.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21626
39 Samples
Download data: TXT
Series
Accession:
GSE109933
ID:
200109933
17.

Intratumoral CpG-B promotes anti-tumoral neutrophil, cDC, and T cell cooperation without reprograming tolerogenic pDC

(Submitter supplied) Cancer immunotherapies utilize distinct mechanisms to harness the power of the immune system to eradicate cancer cells. Therapeutic vaccines, aimed at inducing active immune responses against an existing cancer, are highly dependent on the immunological microenvironment, where many immune cell types display high levels of plasticity and, depending on the context, promote very different immunological outcomes. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21103
14 Samples
Download data: TXT
Series
Accession:
GSE112206
ID:
200112206
18.

A microbiome-produced metabolite drives immunostimulatory macrophages and boosts response to immune checkpoint inhibitors in pancreatic cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL30172 GPL24247
22 Samples
Download data: MTX, TSV
Series
Accession:
GSE207947
ID:
200207947
19.

A microbiome-produced metabolite drives immunostimulatory macrophages and boosts response to immune checkpoint inhibitors in pancreatic cancer [scRNA-seq]

(Submitter supplied) The composition of the gut microbiome controls innate and adaptive immunity and has emerged as a key regulator of tumor growth and the success of immune checkpoint blockade (ICB) therapy. However, the underlying mechanisms remain unclear. Pancreatic ductal adenocarcinoma (PDAC) tends to be refractory to therapy, including ICB. We found that the gut microbe-derived metabolite trimethylamine N-oxide (TMAO) enhances anti-tumor immunity to PDAC. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL30172
2 Samples
Download data: MTX, TSV
Series
Accession:
GSE207946
ID:
200207946
20.

A microbiome-produced metabolite drives immunostimulatory macrophages and boosts response to immune checkpoint inhibitors in pancreatic cancer [RNA-seq]

(Submitter supplied) The composition of the gut microbiome controls innate and adaptive immunity and has emerged as a key regulator of tumor growth and the success of immune checkpoint blockade (ICB) therapy. However, the underlying mechanisms remain unclear. Pancreatic ductal adenocarcinoma (PDAC) tends to be refractory to therapy, including ICB. We found that the gut microbe-derived metabolite trimethylamine N-oxide (TMAO) enhances anti-tumor immunity to PDAC. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
20 Samples
Download data: TXT
Series
Accession:
GSE207911
ID:
200207911
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