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GSE85695
Homo sapiens
6 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Enhancer profiling identifies critical cancer genes and characterizes cell identity in adult T-cell leukemia.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Microarray gene expression profiling was performed in an adult T-cell leukemia/lymphoma cell line (TL-Om1) to analyze genes regulated by the THZ1 CDK7 inhibitor.
Publication Title
Enhancer profiling identifies critical cancer genes and characterizes cell identity in adult T-cell leukemia.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
CD27 and CD45RA can be used to split T cells into 4 subsets, nave cells, CD27+CD45RA+, central memory cells CD27+CD45RA-, effector memory cells CD27-CD45RA-, effector memory CD45RA re-expressing cell, CD27-CD45RA+. It is with in this final EMRA subset that it is belived the senenscent T cells reside. Cellular senescence is accompanied by a senescence-associated secretory phenotype (SASP), to date a SASP has not been demonstrated in T cells.
Publication Title
Human CD8<sup>+</sup> EMRA T cells display a senescence-associated secretory phenotype regulated by p38 MAPK.
Sample Metadata Fields
Sex
View Samples- Mus musculus
- 14 Downloadable Samples
Illumina HiSeq 2000
Description
Transcriptional profiling revealed that murine VH11 and non-VH11 CLL differed in the upregulation of specific pathways implicated in cell signaling and metabolism. We identified a gene expression signature (including Ccdc88a, Clip3, Zcchc18, Chd3 and Itm2a) that was significantly upregulated in T cell-dependent non-VH11 CLL compared with T cell-independent VH11/Vk14 or mutated IgH.TEµ CLL. Overall design: biological replicate (n=3-4) RNA-Seq experiments Please note that the ''countTable_exons_def_norm_rpkm_all.txt'' contains the ''FPKM'' column headers (as a default output setting for the HOMER software package). However, the .txt file contains RPKM value as described in the sample data processing field.
Publication Title
Identification of Distinct Unmutated Chronic Lymphocytic Leukemia Subsets in Mice Based on Their T Cell Dependency.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 50 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers.
Sample Metadata Fields
Sex, Disease, Subject, Time
View Samples- Homo sapiens
- 36 Downloadable Samples
Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Background: Cold acclimation and exercise training were previously shown to increase peripheral insulin sensitivity in human volunteers with type 2 diabetes. Although cold is a potent activator of brown adipose tissue, the increase in peripheral insulin sensitivity by cold is largely mediated by events occurring in skeletal muscle and at least partly involves GLUT4 translocation, as is also observed for exercise training. Results: To investigate if cold acclimation and exercise training overlap in the molecular adaptive response in skeletal muscle, we performed transcriptomics analysis on vastus lateralis muscle collected from human subjects before and after 10 days of cold acclimation, as well as before and after a 12-week exercise training intervention. Methods: Cold acclimation altered the expression of 756 genes (422 up, 334 down, P<0.01), while exercise training altered the expression of 665 genes (444 up, 221 down, P<0.01). Principal Component Analysis, Venn diagram, similarity analysis and Rank–rank Hypergeometric Overlap all indicated significant overlap between cold acclimation and exercise training in upregulated genes, but not in downregulated genes. Overlapping gene regulation was especially evident for genes and pathways associated with extracellular matrix remodeling. Interestingly, the genes most highly induced by cold acclimation were involved in contraction and in signal transduction between nerve and muscle cells, while no significant changes were observed in genes and pathways related to insulin signaling or glucose metabolism. Conclusions: Overall, our results indicate that cold acclimation and exercise training have overlapping effects on gene expression in human skeletal muscle, but strikingly these overlapping genes are designated to pathways related to cell remodeling rather than metabolic pathways.
Publication Title
Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers.
Sample Metadata Fields
Sex, Disease, Subject, Time
View Samples- Homo sapiens
- 14 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Background: Cold acclimation and exercise training were previously shown to increase peripheral insulin sensitivity in human volunteers with type 2 diabetes. Although cold is a potent activator of brown adipose tissue, the increase in peripheral insulin sensitivity by cold is largely mediated by events occurring in skeletal muscle and at least partly involves GLUT4 translocation, as is also observed for exercise training. Results: To investigate if cold acclimation and exercise training overlap in the molecular adaptive response in skeletal muscle, we performed transcriptomics analysis on vastus lateralis muscle collected from human subjects before and after 10 days of cold acclimation, as well as before and after a 12-week exercise training intervention. Methods: Cold acclimation altered the expression of 756 genes (422 up, 334 down, P<0.01), while exercise training altered the expression of 665 genes (444 up, 221 down, P<0.01). Principal Component Analysis, Venn diagram, similarity analysis and Rank–rank Hypergeometric Overlap all indicated significant overlap between cold acclimation and exercise training in upregulated genes, but not in downregulated genes. Overlapping gene regulation was especially evident for genes and pathways associated with extracellular matrix remodeling. Interestingly, the genes most highly induced by cold acclimation were involved in contraction and in signal transduction between nerve and muscle cells, while no significant changes were observed in genes and pathways related to insulin signaling or glucose metabolism. Conclusions: Overall, our results indicate that cold acclimation and exercise training have overlapping effects on gene expression in human skeletal muscle, but strikingly these overlapping genes are designated to pathways related to cell remodeling rather than metabolic pathways.
Publication Title
Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers.
Sample Metadata Fields
Sex, Disease, Subject, Time
View Samples- Homo sapiens
- 24 Downloadable Samples
- Illumina human-6 v2.0 expression beadchip
Description
The new official nomenclature subdivides human monocytes into three subsets, classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+). Here, we comprehensively define relationships and unique characteristics of the three human monocyte subsets using microarray and flow cytometry analysis. Our analysis revealed that the intermediate and nonclassical monocyte subsets were most closely related. For the intermediate subset, majority of genes and surface markers were expressed at an intermediary level between the classical and nonclassical subset. There features therefore indicate a close and direct lineage relationship between the intermediate and nonclassical subset. From gene expression profiles, we define unique characteristics for each monocyte subset. Classical monocytes were functionally versatile, due to the expression of a wide range of sensing receptors and several members of the AP-1 transcription factor family. The intermediate subset was distinguished by high expression of MHC class II associated genes. The nonclassical subset were most highly differentiated and defined by genes involved in cytoskeleton rearrangement that explains their highly motile patrolling behavior in vivo. Additionally, we identify unique surface markers, CLEC4D, IL-13RA1 for classical, GFRA2, CLEC10A for intermediate and GPR44 for nonclassical. Our study hence defines the fundamental features of monocyte subsets necessary for future research on monocyte heterogeneity.
Publication Title
Gene expression profiling reveals the defining features of the classical, intermediate, and nonclassical human monocyte subsets.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 51 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Gene Expression Profiling of Breast Cancer Patients with Brain Metastases Brain metastases confer the worst prognosis of breast cancer as no therapy exists that prevents or eliminates the cancer from spreading to the brain. We developed a new computational modeling method to derive specific downstream signaling pathways that reveal unknown target-disease connections and new mechanisms for specific cancer subtypes. The model enables us to reposition drugs based on available gene expression data of patients. We applied this model to repurpose known or shelved drugs for brain, lung, and bone metastases of breast cancer with the hypothesis that cancer subtypes have their own specific signaling mechanisms. To test the hypothesis, we addressed the specific CSBs for each metastasis that satisfy that (1) CSB proteins are activated by the maximal number of enriched signaling pathways specific to this metastasis, and (2) CSB proteins involve in the most differential expressed coding-genes specific to the specific breast cancer metastasis. The identified signaling networks for the three types of metastases contain 31, 15, and 18 proteins, respectively, and are used to reposition 15, 9, and 2 drug candidates for the brain, lung, and bone metastases of breast cancer. We performed in vitro and in vivo preclinical experiments as well as analysis on patient tumor specimens to evaluate the targets and repositioned drugs. Two known drugs, Sunitinib (FDA approved for renal cell carcinoma and imatinib-resistant gastrointestinal stromal tumor) and Dasatinib (FDA approved for chronic myelogenous leukemia (CML) after imatinib treatment and Philadelphia chromosome-positive acute lymphoblastic leukemia), were shown to prohibit the metastatic colonization in brain.
Publication Title
Novel modeling of cancer cell signaling pathways enables systematic drug repositioning for distinct breast cancer metastases.
Sample Metadata Fields
Time
View Samples- Mus musculus
- 3 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Brain development requires a massive increase in brain lipogenesis and accretion of the essential omega-3 fatty acid docosahexaenoic acid (DHA). Brain acquisition of DHA is primarily mediated by the transporter Major Facilitator Superfamily Domain containing 2a (Mfsd2a) expressed in the endothelium of the blood-brain barrier. Mfsd2a transports DHA and other polyunsaturated fatty acids esterified to lysophosphatidylcholine (LPC-DHA). However, the function of Mfsd2a and DHA in brain development is incompletely understood. Using vascular endothelial-specific (2aECKO) and inducible vascular endothelial-specific (2aiECKO) deletion of Mfsd2a in mice, we found Mfsd2a to be uniquely required postnatally at the blood-brain barrier for normal brain growth and DHA accretion, with DHA deficiency preceding the onset of microcephaly. Gene expression profiling analysis of these DHA deficient brains indicated that Srebp-1 and Srebp-2 pathways were highly elevated.
Publication Title
The lysolipid transporter Mfsd2a regulates lipogenesis in the developing brain.
Sample Metadata Fields
Specimen part
View Samples