refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
    0
github link
Showing
of 281 results
Sort by

Filters

Technology

Platform

accession-icon GSE61304
Novel bio-marker discovery for stratification and prognosis of breast cancer patients
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The study entails novel bio-marker discovery of Tumor Aggressive Grade signature (TAGs) genes and their role in recurrence free survival of breast cancer (BC) patients. Current BC dataset was used for co-expression analysis of TAGs genes and their role in BC progression. Additionally, recent findings have suggested an importance of structural organization of sense-antisense gene pairs (SAGPs) for transcription, post-transcriptional and post-translational events and their associations with cancer and disease. We studied SAGPs in which both gene partners are protein encoding genes (coding-coding SAGPs), their role in human BC development and demonstrated their potential for BC stratification and prognosis. Based on gene expression and correlation analyses we identified the robust set of breast cancer-relevant SAGPs (BCR-SAGPs). We isolated and characterized the sense-antisense gene signature (SAGS) and evaluated its prognostic potential in various gene expression datasets comprising 1161 BC patients. The methods used included the Cox proportional survival analysis, statistical analysis of clinicopathologic parameters and differential gene expression. The SAGS was effective in identification of BC patients with the most aggressive disease. Independently, we validated the SAGS using 58 RNA samples of breast cancer tumors purchased from OriGene Technologies (Rockville, MD).

Publication Title

Sense-antisense gene-pairs in breast cancer and associated pathological pathways.

Sample Metadata Fields

Age, Disease, Disease stage

View Samples
accession-icon GSE25213
EVI1 and AP1 Interact to Transcriptionally Regulate a Feed-Forward Loop Important for Cancer Cell Proliferation and Adhesion
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Ecotopic viral integration site 1 (EVI1) regulates multiple cellular processes important for cancer and is a synergistic partner for FOS protein in invasive tumors.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE25212
Effects of Evi1 knockdown and overexpression in SKOV-3 ovarian carcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We studied the variations of mRNA amounts after Evi1 knockdown or Flag-Evi1 overexpression in SKOV-3 cells.

Publication Title

Ecotopic viral integration site 1 (EVI1) regulates multiple cellular processes important for cancer and is a synergistic partner for FOS protein in invasive tumors.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE33724
Effects of EVI1 mild expression in HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We studied the variations of mRNA amounts after Flag-EVI1 or Flag expression in HeLa cells.

Publication Title

Ecotopic viral integration site 1 (EVI1) regulates multiple cellular processes important for cancer and is a synergistic partner for FOS protein in invasive tumors.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE48125
Neonatal antibotic prophylaxis modulates intestinal immunity and prevents necrotizing enterocolitis in preterm neonates
  • organism-icon Sus scrofa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Caesarean-delivered preterm pigs were fed 3 d of parenteral nutrition followed by 2 d of enteral formula feeding. Antibiotics (n=11) or control saline (n=13) were given twice daily from birth to tissue collection at d 5. NEC-lesions and intestinal structure, function, microbiology and immunity markers were recorded.

Publication Title

Antibiotics modulate intestinal immunity and prevent necrotizing enterocolitis in preterm neonatal piglets.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE5287
Prediction of response and survival following chemotherapy in patients with advanced bladder cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

BACKGROUND

Publication Title

Emmprin and survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE101185
VTA and NAC labeled ribosome from mPFC
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Projection-dependent ribosome profling from mouse mPFC.

Publication Title

Molecular and Circuit-Dynamical Identification of Top-Down Neural Mechanisms for Restraint of Reward Seeking.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE42823
Specific sequence determinants of miR-15/107 microRNA gene group targets
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Using anti-Argonaute (anti-AGO) antibody co-immunoprecipitation, followed by microarray analyses and downstream bioinformatics, RIP-Chip experiments enable direct analyses of miRNA targets. The analyses support four major findings: (i) RIP-Chip studies correlated with total input mRNA profiling provides more comprehensive information than using either RIP-Chip or total mRNA profiling alone after miRNA transfections; (ii) new data confirm that miR-107 paralogs target coding sequence (CDS) of mRNA; (iii) biochemical and computational studies indicate that the 3 portion of miRNAs plays a role in guiding miR-103/7 to the CDS of targets; and (iv) there are major sequence-specific targeting differences between miRNAs in terms of CDS versus 3-untranslated region targeting, and stable AGO association versus mRNA knockdown. For detailed protocol and for full discussion of the results please see Nelson PT et al, Nucleic Acids Res. 2011 Oct;39(18):8163-72.

Publication Title

Specific sequence determinants of miR-15/107 microRNA gene group targets.

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon GSE30946
Receptor Tyrosine Kinase Activation in Infantile Fibrosarcoma/Congenital Mesoblastic Nephroma
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The goal of this study is to identify downstream pathways, diagnostic markers, and potential therapeutic targets for IFS/CMN.

Publication Title

Mediators of receptor tyrosine kinase activation in infantile fibrosarcoma: a Children's Oncology Group study.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP127589
Simultaneous Measurement of Transcriptional and Post-transcriptional Parameters by 3' end RNA-seq
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cellular RNA levels are determined by transcription and decay rates, which are fundamental in understanding gene expression regulation. Measurement of these two parameters is usually performed independently, complicating analysis and introducing methodological biases that hamper direct comparison. Here, we present a simple approach of concurrent sequencing of S. cerevisiae polyA+ and polyA- RNA 3' ends to simultaneously estimate total RNA levels, transcription and decay rates from the same RNA sample. The transcription data generated correlate well with reported estimates and also reveal local RNA polymerase stalling and termination sites with high precision. Although the method by design uses brief metabolic labeling of newly synthesized RNA with 4-thiouridine, the results demonstrate that transcription estimates can also be gained from unlabeled RNA samples. These findings underscore the potential of the approach, which should be generally applicable to study a range of biological questions in diverse organisms. Overall design: RNA 3' end seq of total and 2min 4-thiouracil (4tU) labelled RNA from S. cerevisiae cells. Aliquots of RNA were directly subjected to pA+ RNA 3' end sequencing (noPap samples). A second aliquot was in vitro polyadenylated using E. coli poly(A) polymerase and ribodepleted before library preparation (xPap samples).

Publication Title

Simultaneous Measurement of Transcriptional and Post-transcriptional Parameters by 3' End RNA-Seq.

Sample Metadata Fields

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