GEO DataSets

(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) We have applied single-cell RNA sequencing as an unbiased profiling strategy to interrogate and classify aortic macrophage heterogeneity at the single-cell level in atherosclerosis.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL17021 GPL19057

5 Samples

Download data: CSV, H5, TAR, TXT

(Submitter supplied) Traditional laboratory model organisms represent a small fraction of the diversity of multicellular life, and findings in any given experimental model often do not translate to other species. Immunology research in non-traditional model organisms presents multiple challenges, many stemming from an incomplete understanding of potentially species-specific immune cell types, frequencies and phenotypes. more...

Organism:

Equus caballus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21401

7 Samples

Download data: TXT

(Submitter supplied) The goal of this study is to discover fibroblast subpopulations relevant to recessive dystrophic epidermolysis bullosa

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15520

543 Samples

Download data: TXT

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

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30637

396 Samples

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(Submitter supplied) In this work, we have improved our previously published bacterial single-cell RNA-sequencing protocol (MATQ-seq), providing enhancements that achieve a higher cell throughput while also including integration of automation. We selected a more efficient reverse transcriptase which led to a lower drop-out rate and higher workflow robustness, and we also successfully implemented a Cas9-based ribosomal RNA depletion protocol into the MATQ-seq workflow. more...

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30637

384 Samples

Download data: TSV

(Submitter supplied) In this work, we have improved our previously published bacterial single-cell RNA-sequencing protocol (MATQ-seq), providing enhancements that achieve a higher cell throughput while also including integration of automation. We selected a more efficient reverse transcriptase which led to a lower drop-out rate and higher workflow robustness, and we also successfully implemented a Cas9-based ribosomal RNA depletion protocol into the MATQ-seq workflow. more...

Organism:

Salmonella enterica subsp. enterica serovar Typhimurium

Type:

Expression profiling by high throughput sequencing

Platform:

GPL30637

12 Samples

Download data: TSV

(Submitter supplied) Technical variance is a major confounding factor in single-cell RNA sequencing, not least because measurements on the same cell are not replicable. We developed BEARscc, a tool that simulates experiment-specific technical replicates based on a probabilistic model of technical variance trained on RNA spike-in measurements. We demonstrate that the tool improves the unsupervised classification of cells and aids the interpretation of single-cell RNA-seq experiments.

Organism:

Homo sapiens; other sequences

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL20301 GPL24839

93 Samples

Download data: TSV

(Submitter supplied) We found that single-cell RNA-seq (scRNA-seq)dataneeded to have2,000or more cellsin a cluster to identify the majority of differentially expressed genes (DEGs) with modest differences, while as few as 50-100cells weresufficient for identifying the majority of DEGs withextremely small p values or high abundance.The findings provide a quantitativereference for designing and interpreting studies that usescRNA-seq datato identify DEGs.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

12 Samples

Download data: CSV, TXT

(Submitter supplied) The given data set is the first deep sequencing transcriptome-wide data set of human Parkinson's disease (PD) patients RNA. The data set was produced from blood leukocytes of PD patients, from the same patients following deep brain stimulation (DBS), and from matched healthy control volunteers. Post-DBS samples were taken from the patients while being on electrical stimulation (ON-Stim), and following one hour off of electrical stimulation (OFF-Stim state). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL9442

13 Samples

Download data: BED, GFF3, TAB, TXT

(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) Background: Weaning of beef calves is a necessary husbandry practice and involves separating the calf from its mother, resulting in numerous stressful events including dietary change, social reorganisation and the cessation of the maternal-offspring bond and is often accompanied by housing. While much recent research has focused on the physiological response of the bovine immune system to stress in recent years, little is known about the molecular mechanisms modulating the immune response. more...

Organism:

Bos taurus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11153

48 Samples

Download data: TXT

(Submitter supplied) The simultaneous measurement of multiple modalities, known as multimodal analysis, represents an exciting frontier for single-cell genomics and necessitates new computational methods that can define cellular states based on multiple data types. Here, we introduce ‘weighted-nearest neighbor’ analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Other

Platform:

GPL24676

9 Samples

Download data: CSV, MTX, TSV, XLSX

(Submitter supplied) Gene expression profiling was carried out on peripheral blood mononuclear cell mRNA samples collected from 93 older adults participating in the Chicago Health Aging and Social Relations Study (CHASRS). The primary research question is whether gene expression differs in participants who are chronically lonely. Keywords: Risk prediction

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3898

Platform:

GPL6883

93 Samples

Download data: TXT

Analysis of PBMCs from chronically lonely, older adults. Lack of close social ties is a well-established risk factor for diseases involving the immune system and inflammation. Results provide insight into the molecular mechanisms underlying those effects.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 individual sets

Platform:

GPL6883

Series:

GSE25837

93 Samples

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