refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 252 results
Sort by

Filters

Technology

Platform

accession-icon SRP094710
Cystathionine-ß-Synthase Promotes Colon Carcinogenesis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Purpose: The goal of this study is to investigate the role of CBS enzyme in colorectal carcinogenesis Methods: RNA-Seq transcriptome analysis of CBS-overexpression in NCM356 cels compared to control vector cells Overall design: RNA-seq transcriptome profiling of NCM356-CBS overexpressing cells vs. vector cells

Publication Title

Upregulation of Cystathionine-β-Synthase in Colonic Epithelia Reprograms Metabolism and Promotes Carcinogenesis.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE34053
CD133+ colon cancer cells are more interactive with the tumor microenvironment than CD133- cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD133-positive colorectal cancer cells exhibit enhanced tumorigenicity over CD133-negative cells. The CD133+ cells are more interactive with and responsive to their stromal microenvironment because they also express the cognate receptors, such as CXCR4, for ligands produced by their neighboring carcinoma-associated fibroblasts, such as SDF-1 (stromal-derived growth factor).

Publication Title

CD133+ colon cancer cells are more interactive with the tumor microenvironment than CD133- cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP067175
Transposon mutagenesis reveals fludarabine-resistance mechanisms in chronic lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Purpose:To identify resistance mechanisms for the chemotherapeutic drug fludarabine in chronic lymphocytic leukemia (CLL), as innate and acquired resistance to fludarabine-based chemotherapy represents a major challenge for long-term disease control. Methods: We employed piggyBac transposon-mediated mutagenesis, combined with next-generation sequencing, to identify genes that confer resistance to fludarabine in a human CLL cell line. Results: RNA-seq profiling of fludarabine-resistant cells suggested deregulated MAPK signaling as involved in mediating drug resistance in CLL. Overall design: To address if the fludarabine-resistant HG3 cells were transcriptionally different at a global level compared to their parental cells, we performed RNA-sequencing of three pairs of HG3 pools

Publication Title

Transposon Mutagenesis Reveals Fludarabine Resistance Mechanisms in Chronic Lymphocytic Leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE69149
Histone gene regulation in normal and tumor cells
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st), Illumina Genome Analyzer IIx

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE69148
Differential response of normal and tumor cells to nucleosome depletion
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Gene-expression in siRNA treated U2OS and hTERT-RPE1 cells showed that CASP8AP2, NPAT and HINFP do not regulate expression of each other, and do not have any common target genes, except histones. Most histone genes are downregulated in U2OS cells following loss of CASP8AP2, NPAT or HINFP. In normal cells, highly-expressed histone genes were downregulated, albeit less than in tumor cells following loss of CASP8AP2. The p53 target genes were upregulated relatively late, clearly after the changes in expression of histone genes were observed.

Publication Title

Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE34811
Gene expression profiling of myelin-phagocytosing macrophages
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Multiple sclerosis is a chronic, inflammatory, demyelinating disease of the central nervous system in which macrophages and microglia play a central role. During active multiple sclerosis foamy macrophages and microglia, containing degenerated myelin, are abundantly found in demyelinated areas. Recent studies have described an altered macrophage phenotype after myelin internalization. However, by which mechanisms myelin affects the phenotype of macrophages and how this phenotype can influence lesion progression is unclear.

Publication Title

Myelin-derived lipids modulate macrophage activity by liver X receptor activation.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP067124
Comparative analysis of single-cell RNA sequencing methods
  • organism-icon Mus musculus
  • sample-icon 743 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000, Illumina HiSeq 1500

Description

Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq methods: CEL-seq2, Drop-seq, MARS-seq, SCRB-seq, Smart-seq and Smart-seq2. While Smart-seq2 detected the most genes per cell and across cells, CEL-seq2, Drop-seq, MARS-seq and SCRB-seq quantified mRNA levels with less amplification noise due to the use of unique molecular identifiers (UMIs). Power simulations at different sequencing depths showed that Drop-seq is more cost-efficient for transcriptome quantification of large numbers of cells, while MARS-seq, SCRB-seq and Smart-seq2 are more efficient when analyzing fewer cells. Our quantitative comparison offers the basis for an informed choice among six prominent scRNA-seq methods and provides a framework for benchmarking further improvements of scRNA-seq protocols. Overall design: J1 mESC in two replicates per library preparation method.

Publication Title

A systematic evaluation of single cell RNA-seq analysis pipelines.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP108854
zUMIs: a fast and flexible pipeline for RNA sequencing data with UMIs
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Background Single-cell RNA-sequencing (scRNA-seq) experiments typically analyze hundreds or thousands of cells after amplification of the cDNA. The high throughput is made possible by the early introduction of sample-specific bar codes (BCs), and the amplification bias is alleviated by unique molecular identifiers (UMIs). Thus, the ideal analysis pipeline for scRNA-seq data needs to efficiently tabulate reads according to both BC and UMI. Findings zUMIs is a pipeline that can handle both known and random BCs and also efficiently collapse UMIs, either just for exon mapping reads or for both exon and intron mapping reads. If BC annotation is missing, zUMIs can accurately detect intact cells from the distribution of sequencing reads. Another unique feature of zUMIs is the adaptive downsampling function that facilitates dealing with hugely varying library sizes but also allows the user to evaluate whether the library has been sequenced to saturation. To illustrate the utility of zUMIs, we analyzed a single-nucleus RNA-seq dataset and show that more than 35% of all reads map to introns. Also, we show that these intronic reads are informative about expression levels, significantly increasing the number of detected genes and improving the cluster resolution. Conclusions zUMIs flexibility makes if possible to accommodate data generated with any of the major scRNA-seq protocols that use BCs and UMIs and is the most feature-rich, fast, and user-friendly pipeline to process such scRNA-seq data. Overall design: HEK293T cells were sequenced using the mcSCRB-seq protocol (Bagnoli et al., 2017)

Publication Title

zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP067154
Sequencing Universal Human Reference RNA by Smart-seq and early barcoding library preparation methods
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

Many library preparation methods are available for gene expression quantification. Here, we sequenced and analysed Universal Human Reference RNA (UHRR) prepared using Smart-Seq2, TruSeq (public data) and a protocol using unique molecular identifiers (UMIs) that all include the ERCC spike-in mRNAs to investigate the effects of amplification bias on expression quantification. Overall design: UHRR 10 and 12 replicates for Smart-seq2 and UMI-seq library preparation methods, respectively.

Publication Title

The impact of amplification on differential expression analyses by RNA-seq.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE24451
Knockout of the Acyl CoA binding protein (ACBP) in mice - expression profile from the liver of 21 days old ACBP-/- and +/+ mice.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The ACBP knockout were created by targeted disruption of the gene in mice. The expression profiling was performed on liver tissue from ACBP-/- (KO) and +/+ (WT) mice at the age of 21 days, which in our study is the time immediately before weaning. The mice used for this experiment were taken directly away from their mother. Thus, having free access to chow and breast milk until sacrificed at 8-11am

Publication Title

Disruption of the acyl-CoA-binding protein gene delays hepatic adaptation to metabolic changes at weaning.

Sample Metadata Fields

Specimen part

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