refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 29 results
Sort by

Filters

Organism

Technology

Platform

accession-icon SRP040561
Gene expression analysis of hair cell regeneration in the zebrafish lateral line
  • organism-icon Danio rerio
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Deafness due to the terminal loss of inner ear hair cells is one of the most common sensory diseases. However, non-mammalian animals (e.g. birds, amphibian and fish) regenerate damaged hair cells. In order to better understand the reasons underpinning such regeneration disparities in vertebrates, we set out to define the changes in gene expression associated with the regeneration of hair cells in the zebrafish lateral line at high resolution. We performed RNA-Seq analyses on regenerating support cells purified by fluorescence activated cell sorting (FACS). The zebrafish lateral line provides an experimentally accessible system to define the complex signaling events triggered by injury and regeneration, because these cells can be acutely killed by exposure to neomycin, after which they regenerate rapidly. Lateral line hair cells are located in the center of a mechanosensory organ known as the neuromast and are surrounded by inner support cells and an outer ring of mantle cells. Tg(sqET20) larvae express GFP strongly in mantle cells and to a lesser degree in inner support cells. We isolated GFP positive and GFP negative cells from 5 days post fertilization (dpf) Tg(sqET20) larvae at 1, 3 and 5 hours post neomycin treatment, as well as from a non-treated control. Overall design: Transgenic zebrafish Tg(sqET20) larvae at 5 days post fertilization were exposed to neomycin, dissociated, and FACS sorted into GFP positive and GFP negative populations at 1, 3, and 5 hours following treatment, along with a mock treated 1 hr control. The experiment was performed in triplicate, for a total of 24 samples.

Publication Title

Gene-expression analysis of hair cell regeneration in the zebrafish lateral line.

Alternate Accession IDs

GSE56176

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE135204
Transcriptomic profiling of breast cancer cells incubated in vitro with surgical wound fluids from patients with breast cancer
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Transcriptomic profiling of breast cancer cells incubated in vitro with surgical wound fluids from patients with breast cancer reveals similarities in the biological response induced by intraoperative radiation therapy and the radiation-induced bystander effect

Publication Title

Surgical Wound Fluids from Patients with Breast Cancer Reveal Similarities in the Biological Response Induced by Intraoperative Radiation Therapy and the Radiation-Induced Bystander Effect-Transcriptomic Approach.

Alternate Accession IDs

E-GEOD-135204

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP087617
Proliferation-independent regulation of organ size by Notch signaling
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Purpose: To identify genes that are transcriptionally controlled by Notch signaling during zebrafish lateral line proneuromast formation. Methods: We isolated primordium cells from dissected tails of 36 hpf Tg((cldnB:GFP);Tg(cldnB:gal4) x Tg(UAS:nicd)) and sibling Tg((cldnB:GFP);Tg(cldnB:gal4)) embryos by FACS and performed RNASeq analysis. Results: Using an optimized data analysis workflow, we mapped about 26 million sequence reads per sample to the zebrafish genome (build danRer10) and identified 32,105 transcripts in the dissociated tails of WT and NICD zebrafish with TopHat workflow. Approximately 2% of the transcripts showed differential expression between the WT and NICD tails, with a fold change =0.5 and p value <0.01. Conclusion: RNASeq analyses revealed that Notch signaling cell-autonomously induces apical constriction and cell adhesion. Overall design: Zebrafish lateral line mRNA profiles of 36 hours wild type (WT) and NICD embryos were generated in triplicate, using HiSeq 2500 (Illumina).

Publication Title

Proliferation-independent regulation of organ size by Fgf/Notch signaling.

Alternate Accession IDs

GSE86571

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-51
Transcription profiling of mouse pre-implantation development over twelve time points from the germinal vesicle (GV) stage oocyte to the late (expanded) blastocyst
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The goal of the experiments was to profile and analyze gene activity during murine pre-implantation development. Samples were collected at twelve time points from the germinal vesicle (GV) stage oocyte to the late (expanded) blastocyst.

Publication Title

A genome-wide study of gene activity reveals developmental signaling pathways in the preimplantation mouse embryo.

Alternate Accession IDs

None

Sample Metadata Fields

Age

View Samples
accession-icon SRP056636
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type, 4L;C* and Isofagamine treated 4L;C* region specifics mouse brain Transcriptomes (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived brain transcriptome profiling (RNA-seq) in neuropathic region specific Gaucher mouse brain compared with WT and Isofagamine treated mice of the same age and background and secondly to identify the DEmiRNA associated with the DEmRNA before and after treatment This will give us some insights to see if miRNA is also involved in the the regulation of the expression of the genes involved in the disease process before and after treatment. Methods: 42-45 days old 4L;C*, wild-type (WT) and Isofagamine treated 4L;C* mouse brain were generated by deep sequencing, in triplicate, using IlluminaHiseq. The sequence reads that passed quality filters were analyzed at the gene level with two methods: Burrows–Wheeler Aligner (BWA) followed and TopHat followed by DESeq. qRT–PCR validation was performed using TaqMan and SYBR Green assays Overall design: Regional brain mRNA profiles of ~42 -days old wild type (WT) and 4L;C* an d Isofagamine treated mice were generated by deep sequencing, in triplicate, using IlluminaHi Seq.

Publication Title

Signatures of post-zygotic structural genetic aberrations in the cells of histologically normal breast tissue that can predispose to sporadic breast cancer.

Alternate Accession IDs

GSE67374

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP066956
Tumor cells can follow distinct evolutionary paths to become resistant to epidermal growth factor receptor inhibition
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Although mechanisms of acquired resistance of EGFR mutant non-small cell lung cancers to EGFR inhibitors have been identified, little is known about how resistant clones evolve during drug therapy. Here, we observe that acquired resistance caused by the T790M gatekeeper mutation can occur either by selection of pre-existing T790M clones or via genetic evolution of initially T790M-negative drug tolerant cells. The path to resistance impacts the biology of the resistant clone, as those that evolved from drug tolerant cells had a diminished apoptotic response to third generation EGFR inhibitors that target T790M EGFR; treatment with navitoclax, an inhibitor of BCL-XL and BCL-2 restored sensitivity. We corroborated these findings using cultures derived directly from EGFR inhibitor-resistant patient tumors. These findings provide evidence that clinically relevant drug resistant cancer cells can both pre-exist and evolve from drug tolerant cells, and point to therapeutic opportunities to prevent or overcome resistance in the clinic. Overall design: Examination of mRNA levels of PC9 parental, drug-tolerant, PC9-GR2 and PC9-GR3 cells after treatment with vehicle, gefitinib or WZ4002 for 24 hours.

Publication Title

Tumor cells can follow distinct evolutionary paths to become resistant to epidermal growth factor receptor inhibition.

Alternate Accession IDs

GSE75602

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51358
Metabolic programs orchestrated by the activated Ha-ras and -catenin oncoproteins in mouse liver tumors
  • organism-icon Mus musculus
  • sample-icon 16 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

Ha-ras and β-catenin oncoproteins orchestrate metabolic programs in mouse liver tumors.

Alternate Accession IDs

E-GEOD-51358

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE51355
Metabolic programs orchestrated by the activated Ha-ras and -catenin oncoproteins in mouse liver tumors [mRNA]
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The process of hepatocarcinogenesis in the diethylnitrosamine (DEN) initiation/phenobarbital (PB) promotion mouse model involves the selective clonal outgrowth of cells harboring oncogene mutations in Ha-ras, B-raf, or Ctnnb1. Here, we have characterized mouse liver tumors harboring either Ctnnb1 or Ha-ras mutations via integrated molecular profiling at the transcriptional and translational and post-translational levels. In addition, metabolites of the intermediary metabolism were quantified by high resultion 1H magic angle nuclear magnetic resonance (HR-MAS NMR). We have identified tumor characteristic genotype-specific differences in mRNA and miRNA expression, protein levels, and post-translational modifications and in metabolite levels that facilitate the molecular and biochemical stratification of tumor phenotypes. Bioinformatic integration of these data at the pathway level led to novel insights into tumor genotype-specific aberrant cell signaling and in particular to a better understanding of alterations in pathways of the cell intermediary metabolism, which are driven by the constitutive activation of the -Catenin and Ha-ras oncoproteins in tumors of the two genotypes.

Publication Title

Ha-ras and β-catenin oncoproteins orchestrate metabolic programs in mouse liver tumors.

Alternate Accession IDs

E-GEOD-51355

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE6904
Expression data from mouse SCN after 30-min light pulse
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The transmission of information about the photic environment to the circadian clock involves a complex array of neurotransmitters, receptors, and second messenger systems. Using laser capture microscopy and microarray analysis, a population of genes rapidly induced by light in the suprachiasmatic nucleus is identified.

Publication Title

Identification of novel light-induced genes in the suprachiasmatic nucleus.

Alternate Accession IDs

E-GEOD-6904

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP065478
Snai2 and Snai3 transcriptionally regulate cellular fitness and functionality of T cell lineages through distinct gene programs
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

T lymphocytes are essential contributors to the adaptive immune system and consist of multiple lineages that serve various effector and regulatory roles. As such, precise control of gene expression is essential to the proper development and function of these cells. Previously, we identified Snai2 and Snai3 as being essential regulators of immune tolerance partly due to the impaired function of CD4+ regulatory T cells in Snai2/3 conditional double knockout mice. Here we extend those previous findings using a bone marrow transplantation model to provide an environmentally unbiased view of the molecular changes imparted onto various T lymphocyte populations once Snai2 and Snai3 are deleted. The data presented here demonstrate that Snai2 and Snai3 transcriptionally regulate the cellular fitness and functionality of not only CD4+ regulatory T cells but effector CD8a+ and CD4+ conventional T cells as well. This is achieved through the modulation of gene sets unique to each cell type and includes transcriptional targets relevant to the survival and function of each T cell lineage. As such, Snai2 and Snai3 are essential regulators of T cell immunobiology. Overall design: GFP- CD3e+ CD8a+ CD4-, GFP- CD3e+ CD8a- CD4+ CD25- and GFP- CD3e+ CD8a- CD4+ CD25+ T cells were isolated from spleens of UBC-GFP mice transplanted with WT or cDKO lineage-depleted donor bone marrow following lethal irradiation of recipient mice. RNA-seq was performed on 3-4 biological replicates from each genotype for all T cell populations analyzed.

Publication Title

Snai2 and Snai3 transcriptionally regulate cellular fitness and functionality of T cell lineages through distinct gene programs.

Alternate Accession IDs

GSE74467

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact
Version 1.42.67-hotfix - .0.0