GEO DataSets

(Submitter supplied) Cytosolic and mitochondrial fragments that arise from the cleavage of tRNAs and mt-tRNAs, respectively, have been identified as potential novel regulators of cellular functions. In this study we identified hundreds of fragments in the pancreatic islets of healthy human individuals. We were able to annotate 3593 tRFs (16-55 base pairs) present in the islets of healthy human individuals (we considered a minimum of 5 cpm values in each of the 3 samples). more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL16791

3 Samples

Download data: XLSX

(Submitter supplied) In order to identify small RNAs that are enriched in T-cell extracellular vesicles (EVs) upon T cell activation in a nSMase-dependent manner, we used a two-step ultracentrifugation procedure to isolate EVs released by T cells followed by small RNA profiling of EVs and T cells under resting, stimulated conditions and stimulated conditions in the presence of the vehicle control, DMSO, or nSMase inhibitor, GM4869.

Organism:

Mus musculus

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL17021

24 Samples

Download data: TXT

(Submitter supplied) Type 1 diabetes is a multigenic disease caused by T-cell mediated destruction of the insulin producing β-cells. Although conventional (targeted) approaches of identifying causative genes have advanced our knowledge of this disease, many questions remain unanswered. Using a whole molecular systems study, we unraveled the genes/molecular pathways that are altered in CD4 T-cells from young NOD mice prior to insulitis (lymphocytic infiltration into the pancreas). more...

Organism:

Mus musculus

Type:

Expression profiling by array

Datasets:

GDS5018 GDS5019 GDS5020

Platform:

GPL1261

44 Samples

Download data: CEL

Analysis of CD4 T-cells from 4-week old NOD females in the preinsulitis stage of Type 1 diabetes. Control strains NOR (~88% similarity to NOD genome) and C57BL/6 (genetically distant) are both insulitis- and diabetes-free. Results provide insight into molecular basis of CD4 T-cell diabetogenesis.

Organism:

Mus musculus

Type:

Expression profiling by array, count, 2 disease state, 3 strain sets

Platform:

GPL1261

Series:

GSE46600

15 Samples

Download data: CEL

Analysis of CD4 T-cells from 3-week old NOD females in the preinsulitis stage of Type 1 diabetes. Control strains NOR (~88% similarity to NOD genome) and C57BL/6 (genetically distant) are both insulitis- and diabetes-free. Results provide insight into molecular basis of CD4 T-cell diabetogenesis.

Organism:

Mus musculus

Type:

Expression profiling by array, count, 2 disease state, 3 strain sets

Platform:

GPL1261

Series:

GSE46600

15 Samples

Download data: CEL

Analysis of CD4 T-cells from 2-week old NOD females in the preinsulitis stage of Type 1 diabetes. Control strains NOR (~88% similarity to NOD genome) and C57BL/6 (genetically distant) are both insulitis- and diabetes-free. Results provide insight into molecular basis of CD4 T-cell diabetogenesis.

Organism:

Mus musculus

Type:

Expression profiling by array, count, 2 disease state, 3 strain sets

Platform:

GPL1261

Series:

GSE46600

14 Samples

Download data: CEL

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

Organism:

Rattus norvegicus

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL20084 GPL18694

14 Samples

Download data

(Submitter supplied) We performed bulk RNA-seq analysis for CRISPR-Cpf1 mutated H1 cells that were differentiated into pancreatic cells. Homozygous mutant was compared to control cells (RFX6-/- vs RFX6+/+) at stage 3 (PF) and stage 5 (EP), and heterozygous mutant was compared to control cells (RFX6-/+ vs RFX6+/+) at stage 7 (SC-islets).

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

24 Samples

Download data: CSV

(Submitter supplied) Here, we apply tRNA-seq and YAMAT-seq to profile the expressions of tRFs and tRNAs in plants. We provide a high-quality expression atlas of tRFs and tRNAs in Arabidopsis and rice, and uncover complex tRF population and the dynamic expressions of tRNA genes in plants.

Organism:

Arabidopsis thaliana; Glycine max; Hordeum vulgare; Triticum aestivum; Setaria italica; Zea mays; Sorghum bicolor

Type:

Non-coding RNA profiling by high throughput sequencing

7 related Platforms

13 Samples

Download data: TXT, XLSX

(Submitter supplied) Here, we adopt a method that combines tRNA-seq and cp-RNA-seq to identify and quantify tRFs and tRNAs in plants. We provide a high-quality expression atlas of tRFs and tRNAs in Arabidopsis and rice, and uncovers complex tRFs repertoire and the dynamic expressions of tRNA genes in plants.

Organism:

Arabidopsis thaliana; Oryza sativa

Type:

Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL21785 GPL23013

24 Samples

Download data: XLSX