GEO DataSets

(Submitter supplied) We used single-cell RNA sequencing to characterize the heterogeneity of circulating leukocytes in dogs, then employed the dataset to investigate how primary osteosarcoma (OS) tumors impacted circulating leukocytes.

Organism:

Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25760

17 Samples

Download data: MTX, RDS, TSV

(Submitter supplied) We used single-cell RNA sequencing to characterize the heterogeneity of canine osteosarcoma (OS) tumors.

Organism:

Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25760

8 Samples

Download data: MTX, TSV

(Submitter supplied) Osteosarcoma is a rare maligancy seen in pediatric human patients but frequently seen in canine patients. Because of the increased frequecy of osteosarcoma in canines it is becoming recognized as an informative model for human osteosarcoma. Therefore in a better effort to understand the moclular features common to both human and canine osteosracoma a transcriptional mRNA seq dataset of 186 canine osteosarcoma primary tumors

Organism:

Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25760

186 Samples

Download data: CSV

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus; Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL13112 GPL11154

155 Samples

Download data

(Submitter supplied) Trascriptome analysis of osteosarcoma samples were performed

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13112

103 Samples

Download data: TXT

(Submitter supplied) Trascriptome analysis of osteosarcoma samples were performed

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

52 Samples

Download data: TXT

(Submitter supplied) Osteosarcoma (OS) accounts for approximately 80% of all malignant bone tumors in the dog. Tumors are highly metastatic and long-term survival is poor. This study aims to investigate the prognosis associated gene expression profile in primary canine OS. Canine specific cDNA microarray representing 20,313 genes was used to analyze expression profiles in a panel of thirty-two primary osteosarcoma to identify genes associated with survival. more...

Organism:

Canis lupus familiaris

Type:

Expression profiling by array

Platform:

GPL5117

32 Samples

Download data

(Submitter supplied) Despite significant advances in cancer diagnosis and treatment, osteosarcoma (OSA), an aggressive primary bone tumor, has eluded attempts at improving patient survival for many decades. The difficulty in managing OSA lies in its extreme genetic complexity, drug-resistance, and heterogeneity, making it improbable that a single-target treatment would be beneficial for the majority of affected individuals. more...

Organism:

Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24229

14 Samples

Download data: CSV

(Submitter supplied) Osteosarcoma (OSA) is a highly aggressive bone tumor primarily affecting pediatric or adolescent humans and large breed dogs. Canine OSA shares striking similarities with its human counterpart, making it an invaluable translational model for uncovering the disease's complexities and de-veloping novel therapeutic strategies. Tumor heterogeneity, a hallmark of OSA, poses significant challenges to effective treatment due to the evolution of diverse cell populations that influence tumor growth, metastasis, and resistance to therapies. more...

Organism:

Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL25760

2 Samples

Download data: H5, TSV

(Submitter supplied) This was a prospective clinical trial testing the ability of gene expression models of drug sensitivity that were developed in human and canine cell lines and applied to outcomes in dogs treated with adjuvant carboplatin and/or doxorubicin. Tumor samples were collected prospectively, and gene expression analysis was conducted using Affymetrix Canine Genome 2.0 Arrays.

Organism:

Canis lupus familiaris

Type:

Expression profiling by array

Platform:

GPL3738

109 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Canis lupus familiaris

Type:

Expression profiling by array

Platform:

GPL3738

62 Samples

Download data: CEL

(Submitter supplied) The recently developed COXEN method (PMID: 17666531) has been used to successfully extrapolate gene signatures of drug sensitivity across different tumor histotypes. We wanted to explore the utility of COXEN to predict chemosensitivity in canine cancer, specifically if we could extrapolate gene signatures identified in human datasets over to canine osteosarcoma tumors. This dataset of canine osteosarcoma tumor samples has available clinical outcome data after patients had infected limbs amputated and were treated with doxorubicin and/or carboplatin. more...

Organism:

Canis lupus familiaris

Type:

Expression profiling by array

Platform:

GPL3738

33 Samples

Download data: CEL

(Submitter supplied) The diversity of canine T cells is poorly understood. We used 5’ scRNA-seq coupled with immune repertoire sequencing to generate a highly detailed atlas of peripheral blood TCRαβ+ T cells of healthy dogs.

Organism:

Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25760

8 Samples

Download data: FASTA, MTX, TSV

(Submitter supplied) Purpose: The goals of this study were to establish in vivo models that recapitulated the heterogeneous behavior of osteosarcoma and to develop an approach to distinguish genes expressed from tumor cells apart from those expressed from host cells in next generation sequencing (NGS) data from xenograft tumors. Methods: We used cell lines derived from two spontaneous canine osteosarcoma tumors with distinctly different biological behaviors for heterotypic in vivo modeling. more...

Organism:

Mus musculus; Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL20988 GPL22673

12 Samples

Download data: TXT

(Submitter supplied) Cell lines and tumor tissues from canine osteosarcomas with accompanying survival and breed data.

Organism:

Canis lupus familiaris

Type:

Expression profiling by array

Platform:

GPL3738

34 Samples

Download data: CEL

(Submitter supplied) With the successful implementation of guidelines from the Surviving Sepsis Campaign, in-hospital mortality to sepsis continues to decrease. However, this is has not lead to completely improved outcomes after sepsis. Up to 1/3 of sepsis survivors continue to have dismal long-term outcomes and 1-year mortality. Although the pathobiology of the dismal outcomes after sepsis remains undefined, it is thought that late after sepsis individuals enter a state of pathologic myeloid activation, inducing suboptimal lymphopoiesis and erythropoiesis, with many of the downstream immune cells being dysfunctional. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL18573 GPL24676

9 Samples

Download data: MTX, TSV

(Submitter supplied) The immune system is a complex infrastructure where many cells interact with each other and perform duties depending on their type and function. When using traditional immunological methods in studying non-traditional model organisms, such as birds, challenges arise. These are often associated with a lack of knowledge surrounding the organism in question—particularly, the expected leukocytes, their cell-specific marker genes, and associated reagents. more...

Organism:

Gallus gallus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26853

4 Samples

Download data: MTX, TSV, XLSX

(Submitter supplied) Single-cell methods offer a high-resolution approach for characterizing cell populations. Many studies rely on single-cell transcriptomics to draw conclusions regarding cell state and behavior, with the underlying assumption that transcriptomic readouts largely parallel their protein counterparts and subsequent activity. However, the relationship between transcriptomic and proteomic measurements is imprecise, and thus datasets that probe the extent of their concordance will be useful to refine such conclusions. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

1 Sample

Download data: H5AD