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SRP104137
Homo sapiens
5 Downloadable Samples
Illumina HiSeq 2000
Description
Organoid techniques provide unique platforms to model brain development and neurological disorders. While organoids recapitulating corticogenesis were established, a system modeling human medial ganglionic eminence (MGE) development, a critical ventral brain domain producing cortical interneurons and related lineages, remains to be developed. Here, we describe a system to generate MGE or cortex-specific organoids from human pluripotent stem cells. These organoids recapitulate the developments of MGE and cortex domains respectively. Population and single-cell transcriptomic profiling revealed transcriptional dynamics and lineage productions during MGE and cortical organoids development. Chromatin accessibility landscapes were found to be involved in this process. Furthermore, MGE and cortical organoids generated physiologically functional neurons and neuronal networks. Finally, we applied fusion organoids as a model to investigate human interneuron migration. Together, our study provides a new platform for generating domain-specific brain organoids, for modeling human interneuron migration, and offers deeper insight into molecular dynamics during human brain development. Overall design: mRNA profiles of hMGEOs and hCOs were generated by deep sequencing
Publication Title
Fusion of Regionally Specified hPSC-Derived Organoids Models Human Brain Development and Interneuron Migration.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 229 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
One of our new major finding among the genes that contributes to MS susceptibility is ICSBP1. The so called disease modifying therapies like interferon-beta (IFN-), possibly acting on the peripheral T-cells, reduce the disease activity and the clinical progression, with a MRI-detectable effect in preventing lesion burden and cerebral atrophy development in RR-MS. It suggests a critical role of peripheral blood mononuclear cells (PBMCs) immune response and modulation in developing inflammation in the brain. We tested the hypothesis that the genetic effect of the susceptible allele ICSBP1 can impact the gene expression profile of molecules belonging to the interferon pathway. We therefore interrogated the PBMC for changes in gene expression profile. We correlate those changes with the minor allele frequency for ICSBP1, performing independent quantitative trait analysis for each treatment category. Expression Quantitative Trait Loci Association with a p value < 0.05 have been used in follow up analysis. The regression coefficient of the Quantitative trait association represents the degree of correlation between the gene expression for each interrogated target gene and the minor allele frequency of the SNP for our gene of interest. This coefficient has been used as input in the subsequent Gene Set Enrichment Analysis performed in a pre-ranked approach. The resulting GSEA-SNP method rests on the assumption that SNPs underlying a disease phenotype might affect genes constituting a signaling pathway or genes with a common regulation. Therefore, GSEA-SNP can facilitate the identification of pathways or of underlying biological mechanisms.
Publication Title
Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci.
Sample Metadata Fields
Specimen part
View Samples- Saccharomyces cerevisiae
- 42 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Our study involves a transcriptomic approach to the analysis of industrial yeast metabolism. Historically, among the hundreds of yeast species, Saccharomyces cerevisiae has played an important role in scientific investigations and industrial applications, and it is universally acknowledged as one of the model systems for eukaryotic organisms. Yeast is also an important component of the wine fermentation process and determines various attributes of the final product.
Publication Title
Linking gene regulation and the exo-metabolome: a comparative transcriptomics approach to identify genes that impact on the production of volatile aroma compounds in yeast.
Sample Metadata Fields
Time
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Cidofovir is an acyclic nucleoside phosphonate with strong antiviral activity against a broad spectrum of DNA viruses. Although it has previously been shown that cidofovir exerts an antiproliferative effect on HPV positive cells by the induction of apoptosis, the exact mechanism of action remains to be unraveled. In order to study the activity of cidofovir against HPV, gene expression profiling was performed in cidofovir-treated and cidofovir-resistant HeLa, HaCaT, and PHK cells by means of microarrays (HG-U133 Plus 2, Affymetrix).
Publication Title
Cidofovir selectivity is based on the different response of normal and cancer cells to DNA damage.
Sample Metadata Fields
Specimen part, Disease, Cell line
View Samples- Homo sapiens
- 162 Downloadable Samples
- Illumina HiSeq 3000
Description
RNAseq analysis on protocol biopsies obtained from 42 kidney transplant recipients at 4 time points after kidney transplantation. Overall design: Protocol biopsies obtained before reperfusion, after reperfusion, 3 months and 12 months after kidney transplantation.
Publication Title
Transcriptional trajectories of human kidney injury progression.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 119 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
CONTEXT Slowly progressive chronic tubulo-interstitial damage jeopardizes long-term renal allograft survival. Both immune and non-immune mechanisms are thought to contribute, but the most promising targets for timely intervention have not been identified. OBJECTIVE In the current study we seek to determine the driving force behind progressive histological damage of renal allografts, without the interference of donor pathology, delayed graft function and acute graft rejection. DESIGN We used microarrays to examine whole genome expression profiles in renal allograft protocol biopsies, and analyzed the correlation between gene expression and the histological appearance over time. The gene expression profiles in these protocol biopsies were then compared with gene expression of biopsies with acute T-cell mediated rejection. PATIENTS Human renal allograft biopsies (N=120) were included: 96 rejection-free protocol biopsies and 24 biopsies with T-cell mediated acute rejection. RESULTS In this highly cross-validated study, we demonstrate the significant association of established, ongoing and future chronic histological damage with regulation of adaptive immune gene expression (T-cell and B-cell transcript sets) and innate immune response gene expression (dendritic cell, NK-cell, mast cell and granulocyte transcripts). We demonstrate the ability of gene expression analysis to perform as a quantitative marker for ongoing inflammation with a wide dynamic range: from subtle subhistological inflammation prior to development of chronic damage, over moderate subclinical inflammation associated with chronic histological damage, to marked inflammation of Banff-grade acute T-cell mediated rejection. CONCLUSION Progressive chronic histological damage after kidney transplantation is associated with significant regulation of both innate and adaptive immune responses, months before the histological lesions appear. This study therefore corroborates the hypothesis that quantitative inflammation below the diagnostic threshold of classic T-cell or antibody-mediated rejection is associated with early subclinical stages of progressive renal allograft damage.
Publication Title
Progressive histological damage in renal allografts is associated with expression of innate and adaptive immunity genes.
Sample Metadata Fields
Specimen part, Time
View Samples- Homo sapiens
- 166 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Polyoma virus nephropathy (PVAN) is a common cause of kidney allograft dysfunction and loss. Microscopic descriptions of PVAN are very similar to T-cell mediated rejection (TCMR) and have unclear underlying molecular mechanisms. To identify PVAN-specific gene expression, we analyzed 162 kidney biopsies with and without PVAN for global gene expression. Unsupervised hierarchical clustering analysis of all 162 biopsies revealed high similarity between PVAN and TCMR gene expression. Increasing the stringency for the specificity (p <0.001 and >2-fold expression) between PVAN and TCMR, 158 and 252 unique PVAN and TCMR injury-specific probesets were observed, respectively. While TCMR-specific probeset were overwhelmingly involved in immune response costimulation (CTLA4, CD28, CD86) and TCR (NFATC2, LCP2) signaling, PVAN-specific probesets were mainly related to viral replication process (IFITM1, LTF, NOSIP, RARRES3), RNA polymerase assembly (POLR2l, TAF10, RPS15) and pathogen recognition receptors (C1QA, C3, CFD). A principal component analysis using these genes further confirmed the most optimal separation between the 3 different clinical phenotypes. Validation of 4 PVAN-specific probesets (RPS15, CFD, LTF, and NOSIP) by QPCR and further confirmation by IHC of 2 PVAN-specific proteins with anti-viral function (LTF and IFITM1) was done, showing significantly higher expression within interstitial cellular infiltrates and in tubuli in PVAN specimens as compared to TCMR and NL kidney biopsies. In conclusion, even though PVAN and TCMR kidney allografts share great similarities on gene perturbation, particular PVAN-specific transcripts were identified with well-known anti-viral properties that provide tools for discerning PVAN and AR as well as attractive targets for rational drug design.
Publication Title
Intragraft Antiviral-Specific Gene Expression as a Distinctive Transcriptional Signature for Studies in Polyomavirus-Associated Nephropathy.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 88 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The biopsy samples obtained at implantation segregated in 2 distinct groups according to donor origin, with a cluster of 319 unique identified genes higher expressed in DD compared to LD kidneys, and 329 genes lower expressed (false discovery rate <5%). Using pathway analysis software a significant local renal overrepresentation of complement genes in DD implantation biopsies was identified. Complement gene expression in DD kidneys related both to donor death and cold ischemia duration, and was associated with a slower onset of renal allograft function. In post-transplantation protocol biopsies, there was a continued overexpression of complement genes, regardless of donor source. The local renal complement gene expression variability in post-transplantation biopsies correlated with renal graft function.
Publication Title
Expression of complement components differs between kidney allografts from living and deceased donors.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 101 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Using meta-analysis of eight independent transplant datasets (236 graft biopsy samples) from four organs, we identified a common rejection module (CRM) consisting of 11 genes that were significantly overexpressed in acute rejection (AR) across all transplanted organs. The CRM genes could diagnose AR with high specificity and sensitivity in three additional independent cohorts (794 samples). In another two independent cohorts (151 renal transplant biopsies), the CRM genes correlated with the extent of graft injury and predicted future injury to a graft using protocol biopsies. Inferred drug mechanisms from the literature suggested that two FDA-approved drugs (atorvastatin and dasatinib), approved for non-transplant indications, could regulate specific CRM genes and reduce the number of graft infiltrating cells during acute rejection. We treated mice with HLA-mismatched murine cardiac transplant with atorvastatin and dasatinib and showed reduction of the CRM genes, significant reduction of graft infiltrating cells, and extended graft survival. We further validated the beneficial effect of atorvastatina on graft survival by retrospective analysis of electronic medical records of a single-center cohort of 2,515 renal transplant patients. In conclusion, we identified a CRM in transplantation that provides new opportunities for diagnosis, drug repositioning and rational drug design.
Publication Title
A common rejection module (CRM) for acute rejection across multiple organs identifies novel therapeutics for organ transplantation.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 3 Downloadable Samples
- Illumina HiSeq 2500
Description
We performed single-cell RNA-seq on CD4 T cells isolated from the tonsils of one healthy donor. We used the 10x chromium technology. Overall design: Tonsil CD4 T cells were enriched by negative selection using magnetic beads. Cell populations (CXCR5+PD-1low T cells, CXCR5+PD-1int T cells and CXCR5+PD-1high T cells ) were further isolated by cell sorting. Cellular suspensions (3500 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.
Publication Title
Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses.
Sample Metadata Fields
Subject
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