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accession-icon GSE45593
GENOMICS TO IDENTIFY HLA IDENTICAL RENAL TRANSPLANT TOLERANCE SIGNATURES
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Immunosuppression is needed in HLA identical sibling renal transplantation. We conducted a tolerance trial in this patient cohort using Alemtuzumab induction, donor hematopoietic stem cells, tacrolimus/mycophenolate immunosuppression converted to sirolimus, planning complete drug withdrawal by 24 months post-transplantation. After an additional 12 months with no immunosuppression, normal biopsies and renal function, recipients were considered tolerant. Twenty recipients were enrolled. Of the first 10 (>36 months post-transplantation), 5 had immunosuppression successfully withdrawn for 16-36 months (tolerant), 2 had disease recurrence and 3 had subclinical rejection in protocol biopsies (non-tolerant). Microchimerism disappeared after 1 year, and CD4+CD25highCD127-FOXP3+ T cells and CD19+IgD/M+CD27- B cells increased to 5 years post-transplantation in both groups, whereas immune/inflammatory gene expression pathways in the peripheral blood and urine were differentially downregulated in tolerant compared to non-tolerant recipients. Therefore, in this HLA identical renal transplant tolerance trial, absent chimerism, Treg and Breg immunophenotypes were indistinguishable between tolerant and non-tolerant recipients, but global genomic changes indicating immunomodulation were observed only in tolerant recipients.

Publication Title

Genomic biomarkers correlate with HLA-identical renal transplant tolerance.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE55998
Cellular and Molecular Immune Profiles in Renal Transplant Recipients after Conversion from Tacrolimus to Sirolimus
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Tacrolimus and Sirolimus are commonly used to maintain immunosuppression in kidney transplantation. However, their effects on immune cells and allograft molecular profiles have not been elucidated.

Publication Title

Cellular and molecular immune profiles in renal transplant recipients after conversion from tacrolimus to sirolimus.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP015715
Revisiting Global Gene Expression Analysis (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple analysis platforms. Overall design: Polyadenylated RNA depleted of ribosomal content was used for preparation of two independent sequencing libraries (low-Myc & high-Myc). A panel of synthetic RNA''s was added to these populations, based on cell number.

Publication Title

Revisiting global gene expression analysis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE35240
Gene expression in mitotic tissues of Drosophila larvae without centrosomes or too many centrosomes
  • organism-icon Drosophila melanogaster
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Centrosome defects are a common feature of many cancers. Surprisingly, flies can proceed through the majority of development without centrosomes or with amplified centrosomes in most of their cells. It is unclear whether this is because centrosome defects do not cause many problems in Drosophila cells, or because they can adapt to cope with any problems that arise. Indeed, centrosome loss and centrosome amplification predispose fly brain cells to form tumours. Here we assess how centrosome loss or centrosome amplification perturbs cell physiology by profiling the global transcriptome of Drosophila larval brains and imaginal discs that either lack centrosomes or have too many centrosomes.

Publication Title

Centrosome loss or amplification does not dramatically perturb global gene expression in Drosophila.

Sample Metadata Fields

Specimen part

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accession-icon SRP162136
Profiling of RNAs downregulated by influenza A virus PA-X ribonuclease
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goal of this analysis was to investigate the targets of the influenza A host shutoff ribonuclease PA-X. We profiled the relative levels of cellular RNAs in cells infected with influenza A virus (A/PuertoRico/8/1934 H1N1) comparing wild-type and mutants that make reduced levels of PA-X and/or make a truncated and inactive PA-X. We also profiled relative RNA levels in cells overexpressing wild-type PA-X or a catalytically inactive mutant (D108A). Overall design: for extopic expression, PA-X (from the A/PuertoRico/8/1934 H1N1 (PR8) strain) was expressed in A549 cells using a doxycyline-inducible transgene for 18 hrs; for infection, A549 cells were infected with the wild-type PR8 strain or mutant strain that carried mutations that reduce PA-X production or activity for 15 hrs. rRNA deplete RNA was subjected to high-throughput sequencing

Publication Title

The Influenza A Virus Endoribonuclease PA-X Usurps Host mRNA Processing Machinery to Limit Host Gene Expression.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE21511
EWS-FLI1 reactivates a neural crest stem cell program in human neural crest-derived mesenchymal stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Ewing sarcoma family of tumors (ESFT) are aggressive bone and soft tissue tumors of unknown cellular origin. Most ESFT express EWS-FLI1, a chimeric protein which functions as a growth-promoting oncogene in ESFT but is toxic to most normal cells. A major difficulty in understanding EWS-FLI1 function has been the lack of an adequate model in which to study EWS-FLI1-induced transformation. Although the cell of origin of ESFT remains elusive, both mesenchymal (MSC) and neural crest (NCSC) have been implicated. We recently developed the tools to generate NCSC from human embryonic stem cells (hNCSC). In the current study we used this model to test the hypothesis that neural crest-derived stem cells are the cells of origin of ESFT and to evaluate the consequences of EWS-FLI1 expression on human neural crest biology.

Publication Title

Modeling initiation of Ewing sarcoma in human neural crest cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE37230
c-Myc is a universal amplifier of gene expression
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

c-Myc is a universal amplifier of expressed genes in lymphocytes and embryonic stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE37222
c-Myc is a universal amplifier of gene expression [Microarray]
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The c-Myc HLH-bZIP protein has been implicated in physiological or pathological growth, proliferation, apoptosis, metabolism and differentiation at the cellular, tissue or organismal levels via regulation of numerous target genes. In part due to the incomplete inventory and functional accounting of Mycs targets, no principle unifies Myc action. To relate the dynamics of Myc-binding with target expression and function in a system where Myc-levels are temporally and physiologically regulated, the transcriptomes and the genome-wide distributions of Myc, RNA polymerase II and chromatin modifications were compared during lymphocyte activation and in ES cells. A remarkably simple rule emerged from this quantitative analysis: Myc is not an on-off switch, but is a non-linear amplifier of expression, acting universally at active genes, except for immediate early genes that are strongly induced before Myc. This rule of Myc action explains the vast majority of Myc biology observed in literature.

Publication Title

c-Myc is a universal amplifier of expressed genes in lymphocytes and embryonic stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE32513
Identification of the core gene-regulatory network that governs the dynamic adaptation of intestinal homeostasis during conventionalization in mice
  • organism-icon Mus musculus
  • sample-icon 144 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Molecular adaptation of the intestinal mucosa occurs during microbial conventionalization to maintain a balanced immune response. However, the genetic regulation of such adaptation is obscure. Here, combined analysis of germ free and conventionalized mice revealed that the major molecular adaptations were initiated at day 4 of conventionalization with a strong induction of innate immune functions followed by stimulation of adaptive immune functions. We identified central regulatory genes and reconstructed a common regulatory network that appeared to be sufficient to regulate the dynamic adaptation of the intestinal mucosa to the colonizing microbiota. The majority of the genes within this regulatory network play roles in mucosal inflammatory diseases in mouse and human. We propose that the identified central regulatory network may serve as a genetic signature for control of intestinal homeostasis in healthy mice and may help to unravel the genetic basis of pathway dysregulation in human intestinal inflammatory diseases.

Publication Title

Temporal and spatial interplay of microbiota and intestinal mucosa drive establishment of immune homeostasis in conventionalized mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE43133
CD47 Inhibits Self-renewal and Reprogramming by Regulating c-Myc and Other Stem Cell Transcription Factors
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Signaling through the thrombospondin-1 receptor CD47 broadly limits cell and tissue survival of stress, but the molecular mechanisms are incompletely understood. We now show that loss of CD47 permits sustained proliferation of primary murine endothelial cells and enables these cells to spontaneously reprogram to form multipotent embryoid bodies. c-Myc, Klf4, Oct4, and Sox2 expression is elevated in CD47-null endothelial cells, in several tissues of CD47- or thrombospondin-1-null mice, and in a human T cell line lacking CD47. CD47 knockdown acutely increases mRNA levels of c-Myc and other stem cell transcription factors in cells and in vivo, whereas CD47 ligation by thrombospondin-1 suppresses c-Myc expression. The inhibitory effects of increasing CD47 levels can be overcome by maintaining c-Myc expression and are absent in cells with dysregulated c-Myc. Thus, CD47 antagonists enable cell self-renewal and reprogramming by overcoming negative regulation of c-Myc and other stem cell transcription factors.

Publication Title

Thrombospondin-1 signaling through CD47 inhibits self-renewal by regulating c-Myc and other stem cell transcription factors.

Sample Metadata Fields

Specimen part, Cell line

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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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