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accession-icon GSE98640
Expression data from human CD8+ T cell subsets, defined using CD27 and CD45RA
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE8700
Expression data from epididymal fat tissues of diet induced obese rats
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Analysis of gene expression profiles of epididymal fat from DIO rats

Publication Title

Assessment of diet-induced obese rats as an obesity model by comparative functional genomics.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2113
Plasma cell dyscrasias expression profiles associated with distinct IGH translocations in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This series of microarray experiments contains the gene expression profiles of purified plasma cells (PCs) obtained from 7 monoclonal gammopathy of undetermined significance (MGUS), 39 newly diagnosed multiple myeloma (MM) and 6 plasma-cell leukaemia (PCL) patients. PCs were purified from bone marrow Seriess, after red blood cell lysis with 0.86% ammonium chloride, using CD138 immunomagnetic microbeads. The purity of the positively selected PCs was assessed by morphology and flow cytometry and was > 90% in all cases. 5 micrograms of total RNA was processed and hybridized to the Affymetrix HG-U133A chip following the manufacturer's instructions. After scanning, the images were processed using Affymetrix MicroArray Suite (MAS) 5.0 software to generate gene expression intensity values. Arrays normalization was performed using MAS 5.0 "global scaling" procedure, which normalizes the signals of different experiments to the same target intensity (TGT=100).

Publication Title

Gene expression profiling of plasma cell dyscrasias reveals molecular patterns associated with distinct IGH translocations in multiple myeloma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64052
Gene expression changes during resistance toward vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitor (TKI) therapy in renal cell carcinoma (RCC)
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study was performed to understand the gene expression changes that accompany treatment of renal cell carcinoma (RCC) with vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitor (TKI) therapy. Human RCC cell lines were implanted into the flanks of nude beige mice, allowed to reach 12mm in long axis, and then treated with TKIs (sunitinib or sorafenib). Tumors were excised at 2 timepoints (prior to any therapy and at the 20mm endpoint of the study) and gene expression analysis was performed.

Publication Title

Anti-S1P Antibody as a Novel Therapeutic Strategy for VEGFR TKI-Resistant Renal Cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP115964
Single-cell RNAseq Reveals Seven Classes of Visceral Sensory Neuron
  • organism-icon Mus musculus
  • sample-icon 335 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Integration of nutritional, microbial and inflammatory events along the gut-brain axis can alter bowel physiology and organism behaviour. The principal neural unit in the bowel encoding these stimuli is the visceral sensory neuron with endings at the mucosa, intramurally and along mesenteric blood vessels. Sensory neurons activate reflex pathways and give rise to conscious sensation, however, the diversity and division of function within these neurons is poorly understood. The identification of signalling pathways contributing to visceral sensation is constrained by the current paucity of molecular markers. Here we overcome these limitations by comprehensive transcriptomic profiling and unsupervised clustering of single colonic sensory neurons revealing 7 classes characterised from both lumbar splanchnic (LSN) and pelvic nerves (PN). We identify and classify neurons based on novel marker genes, confirm translation of patterning to protein expression and show subtype-selective differential agonist activation, describing sensory diversity encompassing all modalities of colonic neuronal sensitivity. Overall design: Sensory neurons innervating the mouse colorectum were labelled by retrograde tracer injection. Single-cell RNAseq was performed on 399 dissociated colonic sensory neurons isolated from thoracolumbar (T10-L1) and lumbosacral (L5-S2) dorsal root ganglia distributed over six 96-well plates. 13 additional negative controls were collected.

Publication Title

Single-cell RNAseq reveals seven classes of colonic sensory neuron.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE6365
Distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background and objective: The chromosome 13 deletion (del(13)) represents one of the most frequent chromosomal alterations in multiple myeloma (MM). del(13) is associated with an unfavorable prognosis, although there is an increasing agreement that its prognostic relevance has to be related to the ploidy status and the presence of different chromosomal translocations. This study is aimed at providing a comprehensive analysis of the transcriptional features of del(13) in MM. Design and methods: Highly purified plasma cells from 80 newly diagnosed MM patients were characterized by means of FISH and high-density oligonucleotide microarray for gene expression profiling and chromosomal alterations. Results: We identified 67 differentially expressed genes in the del(13)+ and del(13)- groups, all of which downregulated in the del(13)+ cases: 44 mapped along the whole chromosome 13, seven on chromosome 11 and three on chromosome 19. Functional analyses of the selected genes indicated their involvement in protein biosynthesis, ubiquitination and transcriptional regulation. An integrative genomic approach based on regional analyses of the gene expression data identified distinct chromosomal regions whose global expression modulation could differentiate del(13)+, in particular the upregulation of 1q21-1q42 and the downregulation of 19p and almost the entire chromosome 11. FISH analyses confirmed the close relationship between del(13)+ and the presence of extracopies of 1q21-1q42 (P=6x10-4) or the absence of chromosome 11 and 19 trisomy (P=5x10-4). Interpretation and conclusions: Our results indicate that distinct types of chromosomal aberrations are closely related to the transcriptional profiles of del(13)+, suggesting that the contribution of del(13) on the malignancy should be considered together with associated abnormalities.

Publication Title

Integrative genomic analysis reveals distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma.

Sample Metadata Fields

Sex

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accession-icon SRP177951
RNAseq for finding splicing events in Arabidopsis prefoldin and lsm8 mutants in different environmental conditions
  • organism-icon Arabidopsis thaliana
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This GEO submission includes RNAseq raw data (fastq) and processed data (using ASpli 1.6.0) from samples obtained in the wild type and the single prefoldin4 and lsm8 mutants in three different environmental conditions as well as in the triple prefoldin2 prefoldin4 prefoldin6 mutant growth in standard conditions. Overall design: 28 biological samples from 10 different conditions and genopypes, including the Col-0 WT in each condition (standard, cold and salt conditions)

Publication Title

Prefoldins contribute to maintaining the levels of the spliceosome LSM2-8 complex through Hsp90 in Arabidopsis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE27157
Prognostic Significance and Gene Expression Profiles of p53 Mutations in Microsatellite Stable Stage III Colorectal Adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Clinical Significance: Understanding the differences in colorectal cancer (CRC) aggressiveness and clinical outcomes in relation to tumor stage and different molecular subsets is at most important for designing treatment regimens. However, molecular signatures for specific phenotypic subsets that predict the aggressiveness and clinical outcomes of CRC, specifically in advanced disease stage are lacking. Therefore, for the first time, the current study has identified a set of molecular markers that are associated with aggressive Stage III CRCs that exhibited microsatellite stable and mutant p53 phenotypic features. These findings might aid in designing aggressive treatment regimens and help to provide insights into the development of novel therapeutic targets.

Publication Title

Prognostic significance and gene expression profiles of p53 mutations in microsatellite-stable stage III colorectal adenocarcinomas.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE31415
Comparison of WAT CD34+ vs LAF CD34+
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A catalytic role has been proposed in neoplastic angiogenesis and cancer progression for bone marrow-derived endothelial progenitor cells (EPCs). However, in preclinical and clinical studies the quantitative role of marrow-derived EPCs in cancer vascularization was found to be extremely variable. Adipose tissue represents an attractive source of autologous adult stem cells due to its abundance and surgical accessibility. CD34+cells from Lipotransfer aspirates (LAs) of patients undergoing breast reconstruction after breast cancer surgery were compared with CD34+ cells from Leucapheresis of normal subjects.

Publication Title

The white adipose tissue used in lipotransfer procedures is a rich reservoir of CD34+ progenitors able to promote cancer progression.

Sample Metadata Fields

Sex

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accession-icon SRP103786
Human Oral and Cutaneous Wound Healing Transcriptomes
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Comparative analysis between oral and cutaneous wound healing in humans using paired and sequential biopsies during the repair process. Overall design: mRNA profiles of Oral/Skin Wound Healing human sample were generated by sequencing using Illumina

Publication Title

Transcriptional signature primes human oral mucosa for rapid wound healing.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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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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