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accession-icon SRP140795
Using RNA sequencing to examine age-dependent skeletal muscle transcriptome response to bed rest-induced atrophy, and age independent disuse-induced insulin resistance
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Short-term bed rest is used to simulate muscle disuse in humans. In our previous reports, we found that 5d of bed rest induced a ~4% loss of skeletal muscle mass in OLD (60-79 y) but not YOUNG (18-28 y) subjects. Identifying muscle transcriptional events in response to bed rest and age-related differences will help identify therapeutic targets to offset muscle loss in vulnerable older adult populations. Skeletal muscle dysregulation during bed rest in the old may be driven by alterations in molecules related to fibrosis, inflammation, and cell adhesion. This information may aide in the development of mechanistic-based therapies to combat muscle atrophy during short-term disuse. Short-term muscle disuse is also characterized by skeletal muscle insulin resistance, though this response is divergent across subjects. The mechanisms regulating inactivity-induced insulin resistance between populations that are more or less susceptible to disuse-induced insulin resistance are not known, and delineated by age. High Susceptibility participants were uniquely characterized with muscle gene responses described by a decrease in pathways responsible for lipid uptake and oxidation, decreased capacity for triglyceride export (APOB), increased lipogenesis (i.e., PFKFB3, FASN), and increased amino acid export (SLC43A1). Overall design: RNA was isolated and sequenced from muscle biopsies obtained from the vastus lateralis of YOUNG (N=9) and OLD (N=18) men and women before and after five days of bed rest. Sequencing libraries (18 pM) were chemically denatured and applied to an Illumina TruSeq v3 single read flowcell using an Illumina cBot. Hybridized molecules were clonally amplified and annealed to sequencing primers with reagents from an Illumina TruSeq SR Cluster Kit v3-cBot-HS (GD-401-3001). Following transfer of the flowcell to an Illumina HiSeq 2500 instrument (HCS v2.0.12 and RTA v1.17.21.3), a 50 cycle single read sequence run was performed using TruSeq SBS v3 sequencing reagents (FC-401-3002). The design formula was constructed by following the section on group-specific condition effects, individuals nested within groups in the DESeq2 vignette.   The design included age + age:nested + age:time to test for differences in bed rest in old subjects, young subjects and the interaction, in this case if bed rest effects are different between the two age groups (where age is young or old, nested is patient number nested by age and time is pre- or post-bed rest). A similar design was used to determine susceptibility to disuse-induced insulin resistance, where “susceptibility” took the place of “age”.

Publication Title

Disuse-induced insulin resistance susceptibility coincides with a dysregulated skeletal muscle metabolic transcriptome.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

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accession-icon GSE85834
Differential roles of Dicer1 in sarcomagenesis from aP2-lineage
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Dicer1 loss in the aP2-lineage leads to the development of aggressive and highly penetrant angiosarcomas independent of other oncogenes or tumor suppressor loss

Publication Title

Biallelic <i>Dicer1</i> Loss Mediated by <i>aP2-Cre</i> Drives Angiosarcoma.

Sample Metadata Fields

Specimen part

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accession-icon SRP166967
Single cell sequencing of mouse syngeneic tumor models
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tumor ecosystems are composed of multiple cell types that communicate by ligand-receptor interactions. Targeting ligand-receptor interactions, for instance with immune check-point inhibitors, can provide significant benefit for patients. However, our knowledge of which interactions occur in a tumor and how these interactions affect outcome is still limited. We present an approach to characterize communication by ligand-receptor interactions across all cell types in a microenvironment using single-cell RNA sequencing. We apply this approach to identify and compare ligand-receptor interactions present in six syngeneic mouse tumor models. To identify interactions potentially associated with outcome, we regress interactions against phenotypic measurements of tumor growth rate. In addition, we quantify ligand-receptor interactions between T-cell subsets and their relation to immune infiltration using a publicly available human melanoma data-set. Overall, this approach provides a tool for studying cell-cell interactions, their variability across tumors, and their relationship to outcome. Overall design: We used three different types of immuno-competent inbred mouse strains: BALB/c, and A/J z. All animals enrolled in our study were 6-8 weeks old female mice that were housed in vivarium under specific pathogen free conditions in cages of up to 5 animals and receiving special rodent diet (Teklad). We implanted two mice for each syngeneic model resulting in a total of 12 samples. Each mouse tumor was harvested when the tumor size reached 100 – 200 mm3. Each sample was minced and digested with reagents from Mouse Tumor Dissociation Kit (Miltenyi) according to the manufacturer's instructions. Cells were resuspended at 2x105 cells/mL in PBS-0.04% BSA. Each sample was processed individually and run in technical duplicates. For each sample (except CT26 and MC-38) one replicate was enriched for CD45 positive cells. Live CD45 positive cells were sorted with BD Aria after staining with FITC-CD45 (Biolegend) and 7-AAD. Single cell suspensions of all samples were resuspended in PBS-0.04% BSA at 5x105 cells/mL and barcoded with a 10x Chromium Controller (10x Genomics). In total, this procedure resulted in 24 samples.

Publication Title

Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor Characteristics.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE98059
Sonic hedgehog fusion-negative rhabdomyosarcoma orgiginates from endothelial progenitors
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Genetic fate mapping was preformed on aP2-Cre;tdTomato and aP2-Cre;tdTomato;SmoM2/+ animals and endothelial progenitor cells identified as the cell of origin of FN-RMS in aP2-Cre;SmoM2/+ animals

Publication Title

Hedgehog Pathway Drives Fusion-Negative Rhabdomyosarcoma Initiated From Non-myogenic Endothelial Progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE20405
HDAC and aminopeptidase inhibitor treatment of myeloma cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

H929 human myeloma cells were exposed to aminopeptidase inhibitor (CHR-2797), HDAC inhibitor (CHR-3996), or a combinaion of the two agents, for 24 hours.

Publication Title

The combination of HDAC and aminopeptidase inhibitors is highly synergistic in myeloma and leads to disruption of the NFκB signalling pathway.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE28367
Expression and SNP data from fibroblasts, iPSCs and neurons with four copies of SNCA, and equivalent cell lines from an unaffected first degree relative
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Parkinson's disease induced pluripotent stem cells with triplication of the α-synuclein locus.

Sample Metadata Fields

Specimen part

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accession-icon GSE28365
Expression data from fibroblasts, iPSCs and neurons with four copies of SNCA, and equivalent cell lines from an unaffected first degree relative
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

A major barrier to research on Parkinsons disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplication of SNCA encoding -synuclein. -Synuclein dysfunction is common to all forms of PD, and SNCA triplication leads to fully penetrant familial PD with accelerated pathogenesis. After differentiation of iPSCs into neurons enriched for midbrain dopaminergic subtypes, those from the patient contain double -synuclein protein compared to those from an unaffected relative, precisely recapitulating the cause of PD in these individuals. A measurable biomarker makes this model ideal for drug screening for compounds that reduce levels of -synuclein, and for mechanistic experiments to study PD pathogenesis.

Publication Title

Parkinson's disease induced pluripotent stem cells with triplication of the α-synuclein locus.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE30792
Expression data from Parkinson's iPSCs with four copies of SNCA, and equivalent cell lines from an unaffected first degree relative
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A major barrier to research on Parkinsons disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplication of SNCA encoding -synuclein. -Synuclein dysfunction is common to all forms of PD, and SNCA triplication leads to fully penetrant familial PD with accelerated pathogenesis. After differentiation of iPSCs into neurons enriched for midbrain dopaminergic subtypes, those from the patient contain double -synuclein protein compared to those from an unaffected relative, precisely recapitulating the cause of PD in these individuals. A measurable biomarker makes this model ideal for drug screening for compounds that reduce levels of -synuclein, and for mechanistic experiments to study PD pathogenesis.

Publication Title

Parkinson's disease induced pluripotent stem cells with triplication of the α-synuclein locus.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP111340
Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single cell resolution using RNA sequencing [Smart-seq]
  • organism-icon Danio rerio
  • sample-icon 246 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Recent advances in single-cell transcriptomic profiling have provided unprecedented access to investigate cell heterogeneity during tissue and organ development. Here, we utilized massively parallel single-cell RNA sequencing to define cell heterogeneity within the zebrafish kidney marrow, constructing a comprehensive molecular atlas of definitive hematopoiesis and functionally-distinct renal cells found in adult zebrafish. Because our method analyzed blood and kidney cells in an unbiased manner, our approach was useful in characterizing immune cell deficiencies within prkdcD3612fs, il2rgaY91fs and double homozygous mutant fish, identifying blood cell losses in T, B, and natural killer cells within specific genetic mutants. Our analysis also uncovered novel cell types including two classes of natural killer immune cells, classically-defined and erythroid-primed hematopoietic stem and progenitor cells, mucin secreting kidney cells, and kidney stem/progenitor cells. In total, our work provides the first comprehensive single cell transcriptomic analysis of kidney and marrow cells in the adult zebrafish. Overall design: The goal of our study is to establish the transcriptional profiles of hematopoietic and kidney cell lineages residing in the zebrafish whole kidney marrow. Firstly, we performed single-cell RNA sequencing by a modified Smart-seq2 protocol on sorted single cells from fluorescent transgenic zebrafish lines, which label distinct blood cell types (n = 246 cells total). Secondly, we utilized droplet-based single-cell RNA sequencing (inDrop) to investigate unmarked, comprehensive hematopoietic lineage structure within wild-type, casper-strain zebrafish (N=3 animals, n=3,782 cells total). From this, we identified ten distinct hematopoietic groups of blood and immune identities. Thirdly, we confirmed blood lineage interpretations by comparing hematopoietic lineages within wild-type fish with mutant zebrafish with known immunodeficiencies, including prkdc(D3612fs) (N=3 animals, n=3,201 cells), il2rga(Y91fs) (N=2 animals, n=2,068 cells) and prkdc(D3612fs), il2rga(Y91fs) double compound mutant fish (N=2 animals, n=2,276 cells). Lastly, we identified seven structural and functional cell lineages of kidney identities in the whole kidney marrow (n=1,699 kidney cells).

Publication Title

Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single-cell resolution using RNA sequencing.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP111341
Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single cell resolution using RNA sequencing [bulk RNA-seq]
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Recent advances in single-cell transcriptomic profiling have provided unprecedented access to investigate cell heterogeneity during tissue and organ development. Here, we utilized massively parallel single-cell RNA sequencing to define cell heterogeneity within the zebrafish kidney marrow, constructing a comprehensive molecular atlas of definitive hematopoiesis and functionally-distinct renal cells found in adult zebrafish. Because our method analyzed blood and kidney cells in an unbiased manner, our approach was useful in characterizing immune cell deficiencies within prkdcD3612fs, il2rgaY91fs and double homozygous mutant fish, identifying blood cell losses in T, B, and natural killer cells within specific genetic mutants. Our analysis also uncovered novel cell types including two classes of natural killer immune cells, classically-defined and erythroid-primed hematopoietic stem and progenitor cells, mucin secreting kidney cells, and kidney stem/progenitor cells. In total, our work provides the first comprehensive single cell transcriptomic analysis of kidney and marrow cells in the adult zebrafish. Overall design: The goal of our study is to establish the transcriptional profiles of hematopoietic and kidney cell lineages residing in the zebrafish whole kidney marrow. Firstly, we performed single-cell RNA sequencing by a modified Smart-seq2 protocol on sorted single cells from fluorescent transgenic zebrafish lines, which label distinct blood cell types (n = 246 cells total). Secondly, we utilized droplet-based single-cell RNA sequencing (inDrop) to investigate unmarked, comprehensive hematopoietic lineage structure within wild-type, casper-strain zebrafish (N=3 animals, n=3,782 cells total). From this, we identified ten distinct hematopoietic groups of blood and immune identities. Thirdly, we confirmed blood lineage interpretations by comparing hematopoietic lineages within wild-type fish with mutant zebrafish with known immunodeficiencies, including prkdc(D3612fs) (N=3 animals, n=3,201 cells), il2rga(Y91fs) (N=2 animals, n=2,068 cells) and prkdc(D3612fs), il2rga(Y91fs) double compound mutant fish (N=2 animals, n=2,276 cells). Lastly, we identified seven structural and functional cell lineages of kidney identities in the whole kidney marrow (n=1,699 kidney cells).

Publication Title

Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single-cell resolution using RNA sequencing.

Sample Metadata Fields

Specimen part, Subject

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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