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”.
Disuse-induced insulin resistance susceptibility coincides with a dysregulated skeletal muscle metabolic transcriptome.
Sex, Specimen part, Subject, Time
View SamplesDicer1 loss in the aP2-lineage leads to the development of aggressive and highly penetrant angiosarcomas independent of other oncogenes or tumor suppressor loss
Biallelic <i>Dicer1</i> Loss Mediated by <i>aP2-Cre</i> Drives Angiosarcoma.
Specimen part
View SamplesTumor 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.
Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor Characteristics.
Cell line, Subject
View SamplesGenetic 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
Hedgehog Pathway Drives Fusion-Negative Rhabdomyosarcoma Initiated From Non-myogenic Endothelial Progenitors.
Specimen part
View SamplesH929 human myeloma cells were exposed to aminopeptidase inhibitor (CHR-2797), HDAC inhibitor (CHR-3996), or a combinaion of the two agents, for 24 hours.
The combination of HDAC and aminopeptidase inhibitors is highly synergistic in myeloma and leads to disruption of the NFκB signalling pathway.
Specimen part, Cell line, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Parkinson's disease induced pluripotent stem cells with triplication of the α-synuclein locus.
Specimen part
View SamplesA 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.
Parkinson's disease induced pluripotent stem cells with triplication of the α-synuclein locus.
Specimen part
View SamplesA 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.
Parkinson's disease induced pluripotent stem cells with triplication of the α-synuclein locus.
Specimen part, Cell line
View SamplesRecent 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).
Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single-cell resolution using RNA sequencing.
Specimen part, Subject
View SamplesRecent 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).
Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single-cell resolution using RNA sequencing.
Specimen part, Subject
View Samples