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accession-icon SRP069329
Homo sapiens male germ cell transcriptome
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Goal of this study is to identify the transcriptome of human male germ cell subtypes during normal spermatogenesis as a reference for subfertility.

Publication Title

Unraveling transcriptome dynamics in human spermatogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE83895
Transcriptome analysis of innate intestinal intraepithelial lymphocytes
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Characterization of intraepithelial ILC on the basis of CD8 and Ly49E expression

Publication Title

A Murine Intestinal Intraepithelial NKp46-Negative Innate Lymphoid Cell Population Characterized by Group 1 Properties.

Sample Metadata Fields

Specimen part

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accession-icon SRP126311
Single cell RNA sequencing of kidney tubuloids and the tissue that the tubuloids were derived from
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Adult Stem Cell (ASC )-derived organoids are 3D epithelial structures that recapitulate essential aspects of their organ of origin. We have developed conditions for the long-term growth of primary kidney tubular epithelial organoids ('tubuloids'). Cultures can be established from mouse and human kidney tissue, as well as from urine and can be expanded for at least 20 passages (> 6 months). The structures retain a normal number of chromosomes. Human tubuloids represent proximal as well as distal nephron segments, as evidenced by gene expression, immunofluorescence and tubular functional analyses. BK virus infection of tubuloids recapitulates in vivo phenomena. "Tumoroids" can be established from Wilms nephroblastoma. Kidney tubuloids from urine from a subject with Cystic Fibrosis (CF) allows ex vivo assessment of treatment efficacy. Finally, tubuloids cultured on microfluidic organ-on-a-chip plates adopt a tubular conformation and display active (trans-)epithelial transport function. Adult kidney-derived epithelial tubuloids allow studies of hereditary, infectious and malignant kidney disease in a personalized fashion. Overall design: We generated single cell transcriptome data of kidney tubuloids and the tissue that the tubuloids were derived from

Publication Title

Tubuloids derived from human adult kidney and urine for personalized disease modeling.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP126310
Bulk RNA sequencing of kidney tubuloids and the tissue that the tubuloids were derived from
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Adult Stem Cell (ASC )-derived organoids are 3D epithelial structures that recapitulate essential aspects of their organ of origin. We have developed conditions for the long-term growth of primary kidney tubular epithelial organoids ('tubuloids'). Cultures can be established from mouse and human kidney tissue, as well as from urine and can be expanded for at least 20 passages (> 6 months). The structures retain a normal number of chromosomes. Human tubuloids represent proximal as well as distal nephron segments, as evidenced by gene expression, immunofluorescence and tubular functional analyses. BK virus infection of tubuloids recapitulates in vivo phenomena. "Tumoroids" can be established from Wilms nephroblastoma. Kidney tubuloids from urine from a subject with Cystic Fibrosis (CF) allows ex vivo assessment of treatment efficacy. Finally, tubuloids cultured on microfluidic organ-on-a-chip plates adopt a tubular conformation and display active (trans-)epithelial transport function. Adult kidney-derived epithelial tubuloids allow studies of hereditary, infectious and malignant kidney disease in a personalized fashion. Overall design: We generated transcriptome data of kidney tubuloids and the tissue that the tubuloids were derived from

Publication Title

Tubuloids derived from human adult kidney and urine for personalized disease modeling.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE62813
Long-term Exposure to Sorafenib of Liver Cancer Cells Induces Resistance with Epithelial-to-Mesenchymal Transition, Increased Invasion and Risk of Rebound Growth
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Sorafenib leads to a survival benefit in patients with advanced hepatocellular carcinoma but its use is hampered by the occurrence of drug resistance. To investigate the molecular mechanisms involved we developed five resistant human liver cell lines in which we studied morphology, gene expression and invasive potential. The cells changed their appearance, lost E-cadherin and KRT19 and showed high expression of vimentin, indicating epithelial-to-mesenchymal transition. Resistant cells showed reduced adherent growth, became more invasive and lost liver-specific gene expression. Furthermore, following withdrawal of sorafenib, the resistant cells showed rebound growth, a phenomenon also found in patients. This cell model was further used to investigate strategies for restoration of sensitivity to sorafenib.

Publication Title

Long-term exposure to sorafenib of liver cancer cells induces resistance with epithelial-to-mesenchymal transition, increased invasion and risk of rebound growth.

Sample Metadata Fields

Cell line

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accession-icon GSE5525
Transcriptome changes of Arabidopsis during pathogen and insect attack
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant defenses against pathogens and insects are regulated differentially by cross-communicating signaling pathways in which salicylic acid (SA), jasmonic acid (JA) and ethylene (ET) play key roles. To understand how plants integrate pathogen- and insect-induced signals into specific defense responses, we monitored the dynamics of SA, JA, and ET signaling in Arabidopsis after attack by a set of microbial pathogens and herbivorous insects with different modes of attack. Arabidopsis plants were exposed to a pathogenic leaf bacterium (Pseudomonas syringae pv. tomato), a pathogenic leaf fungus (Alternaria brassicicola), tissue-chewing caterpillars (Pieris rapae), cell-content-feeding thrips (Frankliniella occidentalis), or phloem-feeding aphids (Myzus persicae). Monitoring the signal signature in each plant-attacker combination showed that the kinetics of SA, JA, and ET production varies greatly in both quantity and timing. Analysis of global gene expression profiles demonstrated that the signal signature characteristic of each Arabidopsis-attacker combination is orchestrated into a surprisingly complex set of transcriptional alterations in which, in all cases, stress-related genes are overrepresented. Comparison of the transcript profiles revealed that consistent changes induced by pathogens and insects with very different modes of attack can show considerable overlap. Of all consistent changes induced by A. brassicicola, P. rapae, and F. occidentalis, more than 50% were also induced consistently by P. syringae. Notably, although these four attackers all stimulated JA biosynthesis, the majority of the changes in JA-responsive gene expression were attacker-specific. All together our study shows that SA, JA, and ET play a primary role in the orchestration of the plant's defense response, but other regulatory mechanisms, such as pathway cross-talk or additional attacker-induced signals, eventually shape the highly complex attacker-specific defense response.

Publication Title

Signal signature and transcriptome changes of Arabidopsis during pathogen and insect attack.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73489
Gene expression profiling from pooled samples of liver tissue of liver MyD88 WT mice and MyD88 liver specific KO mice fed either with a control diet or a high-fat diet.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Mice wild type or knocked-out for the MyD88 gene specifically in liver, were recruited for this expression profiling experiment. Each group of mice (WT versus LKO) were fed with a control diet or a high fat diet. Then mice were sacrificed and liver samples form were processed for RNA extraction. Total liver RNA of each sample was then pooled with those of the same group and treatment for microarray hybridization.

Publication Title

Hepatocyte MyD88 affects bile acids, gut microbiota and metabolome contributing to regulate glucose and lipid metabolism.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP031477
Transcriptome and proteome quantification of a tumor model provides novel insights into post-transcriptional gene regulation
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Genome-wide transcriptome analyses have allowed for systems- level insights into gene regulatory networks. Due to the limited depth of quantitative proteomics, however, our understanding of post-transcriptional gene regulation and its effects on protein complex stoichiometry are lagging behind. Here, we employ deep sequencing and iTRAQ technology to determine transcript and protein expression changes of a Drosophila brain tumour model at near genome-wide resolution. In total, we quantify more than 6,200 tissue-specific proteins, corresponding to about 70% of all transcribed protein-coding genes. Using our integrated data set, we demonstrate that post-transcriptional gene regulation varies considerably with biological function and is surprisingly high for genes regulating transcription. We combine our quantitative data with protein-protein interaction data and show that post-transcriptional mechanisms significantly enhance co-regulation of protein complex subunits beyond transcriptional co-regulation. Interestingly, our results suggest that only about 11% of the annotated Drosophila protein complexes are co-regulated in the brain. Finally, we refine the composition of some of these core protein complexes by analysing the co-regulation of potential subunits. Our comprehensive transcriptome and proteome data provide a rich resource for quantitative biology and offer novel insights into understanding post- transcriptional gene regulation in a tumour model. Overall design: Transcriptomes of 1-3 day old adult female Drosophila melanogaster heads of control and brat mutant were generated by deep sequencing, in triplicate, using Illumina GAIIx.

Publication Title

Transcriptome and proteome quantification of a tumor model provides novel insights into post-transcriptional gene regulation.

Sample Metadata Fields

Subject

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accession-icon SRP093281
Sorting zebrafish thrombocyte lineage cells with a Cd41 monoclonal antibody enriches hematopoietic stem cell activity
  • organism-icon Danio rerio
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaHiSeq2500

Description

The goal of the experiment was to determine the transcriptional expression profile of zebrafish thrombocytes in order to enable comparison with mouse and human platelets. Overall design: Thrombocyte isolation from Tg(cd41:EGFP) zebrafish peripheral blood was performed using a novel monoclonal antibody (3H9) to Cd41

Publication Title

Sorting zebrafish thrombocyte lineage cells with a Cd41 monoclonal antibody enriches hematopoietic stem cell activity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP060705
Hobit and Blimp1 instruct a universal transcriptional program of tissue-residency in lymphocytes
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Tissue-resident memory T cells (Trm) are non-circulating memory T cells that localize to portals of pathogen entry such as the skin, gut and lung where they provide efficient early protection against reinfection. Trm are characterized by a molecular profile that actively prevents egress from peripheral sites including the constitutive expression of the lectin CD69 and down-regulation of the chemokine receptor (CCR)7 and sphingosine-1-phosphate receptor 1 (S1PR1). This program is partially mediated by down-regulation of the transcription factor KLF2; however, to date no transcriptional regulator specific to Trm has been identified. Here we show that the Blimp1 related transcription factor Hobit is specifically upregulated in Trm and together with Blimp1, mediates the development and maintenance of Trm in various tissues including skin, gut, liver and kidney. Importantly, we found that the Hobit/Blimp1 transcriptional module is also required for other tissue-resident lymphocytes including Natural Killer T (NKT) cells and liver tissue-resident NK cells (trNK). We show that these populations share a universal transcriptional program with Trm instructed by Hobit and Blimp1 that includes the repression of CCR7, S1PR1 and KLF2 thereby enforcing tissue retention. Our results identify Hobit and Blimp1 as major common regulators that drive the differentiation of distinct populations of tissue-resident lymphocytes. Overall design: RNA-seq data were generated for multiple tissues in mice to investigate global expression difference between resident and circulating cells.

Publication Title

Hobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes.

Sample Metadata Fields

No sample metadata fields

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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