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SRP144383
Drosophila melanogaster
96 Downloadable Samples
Illumina HiSeq 2500
Description
Stranded, single-end, polyA+, transcriptional profiles were created from ovaries of sterile and fertile sov heteroallelic mutants and Gal4 driven sov RNAi knockdowns. Overall design: 15 ovaries from 4-5 day old post-eclosion females grown in uncrowded conditions were dissected and pooled for each biological replicate for a total of three replicates per genotype. Total RNA was extracted from tissues and polyA RNA was isolated and used to prepare stranded RNAseq libraries. 50 bp single-end sequencing was performed and mapped to Drosophila melanogaster release 6.21 genome.
Publication Title
<i>Drosophila</i> Heterochromatin Stabilization Requires the Zinc-Finger Protein Small Ovary.
Sample Metadata Fields
Sex, Subject
View Samples- Mus musculus
- 4 Downloadable Samples
Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
Lipid overload and adipocyte dysfunction are key to the development of insulin resistance and can be induced by a high-fat diet. CD1d-restricted invariant natural killer T (iNKT) cells have been proposed as mediators between lipid overload and insulin resistance, but recent studies found decreased iNKT cell numbers and marginal effects of iNKT cell depletion on insulin resistance under high-fat diet conditions. Here, we focused on the role of iNKT cells under normal conditions. We showed that iNKT celldeficient mice on a low-fat diet, considered a normal diet for mice, displayed a distinctive insulin resistance phenotype without overt adipose tissue inflammation. Insulin resistance was characterized by adipocyte dysfunction, including adipocyte hypertrophy, increased leptin, and decreased adiponectin levels. The lack of liver abnormalities in CD1d-null mice together with the enrichment of CD1d-restricted iNKT cells in both mouse and human adipose tissue indicated a specific role for adipose tissueresident iNKT cells in the development of insulin resistance. Strikingly, iNKT cell function was directly modulated by adipocytes, which acted as lipid antigen-presenting cells in a CD1d-mediated fashion. Based on these findings, we propose that, especially under low-fat diet conditions, adipose tissueresident iNKT cells maintain healthy adipose tissue through direct interplay with adipocytes and prevent insulin resistance.
Publication Title
Natural killer T cells in adipose tissue prevent insulin resistance.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 123 Downloadable Samples
- IlluminaHiSeq2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 85 Downloadable Samples
- IlluminaHiSeq2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 88 Downloadable Samples
- Illumina HiSeq 2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 71 Downloadable Samples
- IlluminaHiSeq2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 63 Downloadable Samples
- Illumina HiSeq 2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 47 Downloadable Samples
- Illumina HiSeq 2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 38 Downloadable Samples
- Illumina HiSeq 2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 37 Downloadable Samples
- Illumina HiSeq 2500
Description
Single cell RNA seq and bioinformatic analysis is used to characterize myeloid differentiation to uncover novel transcriptional networks and key drivers of hematoipoietic development Overall design: Single cell RNA seq of different hematopoietic populations integrated with Chip seq involving multiple markers
Publication Title
Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.
Sample Metadata Fields
No sample metadata fields
View Samples