refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 1247 results
Sort by

Filters

Technology

Platform

accession-icon SRP090001
Roadmap to implantation- RNA seq of ovine LE, GE and conceptus during early pregnancy
  • organism-icon Ovis aries
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIon Torrent Proton, Illumina HiSeq 2500

Description

RNA seq analysis of laser capture microdissected luminal and glandular epithelium from ewes on day of pregnancy 10, 12, 14, 16 and 20. As well as RNA seq of whole conceptuses, and trophectoderm tissue from day 12, 14, 16 and 20 of pregnancy. Determination of gene expression changes in the uterine epithelium and conceptus during early pregnancy helps to improve our understanding of early pregnancy events and provides a basis of new strategies to improve fertility and reproductive efficiency in ruminants. Overall design: RNA seq analysis of 4 samples of each tissue type (luminal epithelium (LE), glandular epithelium (GE) and conceptus) for 4 animals. Pre-sequencing amplification of LE, GE and day 12 conceptus samples.

Publication Title

Analysis of the Uterine Epithelial and Conceptus Transcriptome and Luminal Fluid Proteome During the Peri-Implantation Period of Pregnancy in Sheep.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP126481
Uterine Influences on Conceptus Development in Fertility-Classified Animals
  • organism-icon Bos taurus
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This study relates to pregnancy outcome after assisted reproduction of fertility-classified cattle. The aim is to investigate how the uterine environment impacts and programs conceptus survival and development. The study found that ripple effects of dysregulated conceptus-endometrial interactions elicit post-elongation pregnancy loss in subfertile animals during the implantation period. Overall design: Heifer cows classified as high fertile (HF), subfertile (SF), or infertile (IF) were investigated. The RNA-seq analysis was performed for endometrium samples at day 17 of pregnancy. For comparison, non-pregnant cows were included in the analysis. RNA from conceptus of HF and SF pregnant animals (day 17) were also included in the RNA-seq analysis. A total of 25 endometrium samples (5 non-pregnant of each fertilty group, 5 pregnant HF, and 5 pregnant SF) and 27 conceptus samples (10 SF and 17 HF) were used in the RNA-seq analysis.

Publication Title

Uterine influences on conceptus development in fertility-classified animals.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP077975
Host blood trancriptional profiles during Mycobacterium tuberculosis infection.
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report a pilot investigation for poly-A RNAs differentially expressed during Mycobacterium tuberculosis infection. Participation in this investigation from March 2010 to July 2013 was voluntary, only subjects that were >18 years old and that informed written consent were considered eligible. The recruitment of tuberculosis (TB) patients was done at public hospitals in Rio de Janeiro, Brazil. The diagnostic criteria for active pulmonary tuberculosis was at least one AFB (acid-fast bacilli) -positive sputum sample for M. tuberculosis and/or positive sputum culture and/or compatible clinical evolution for pulmonary TB and less than 15 days of anti-TB treatment and was in accordance with those of the Brazilian Ministry of Health. Blood was collected from recent close contacts (rCt) and active tuberculosis (TB) index cases (n=6). Latent TB infection (LTBI) was accessed by both tuberculin skin test (TST, cut-off = 5mm) and in house interferon-gamma release assays (IGRA, cut-off = 100 pg/ml), therefore, 12 rCt were classified as uninfected controls and 16 with LTBI. Subsequently, the sequencing was performed following the standard protocols on Illumina HiSeq® 2500 Sequencing System (Illumina, San Diego, CA) running 100 bp paired-end reads (PE100) and generating approximately 30 million reads passing filter for each sample to produce the mRNA reads. Mining these RNAseq data, highly prominent modulation of DOCK9, EPHA4, and NPC2 mRNA expression was observed in the TB samples, indicating that they might have a role in TB pathogenesis. These differential modulations upon M. Tuberculosis infection were further validated by additional evidences in larger cohorts from different geographical areas. Overall design: We collected blood samples from the recent close contacts (rCt) at the recruitment and monitored them for 1-year. All TB participants were treatment-naïve. An infection mRNA signature was derived from whole blood RNA sequencing data by comparing TB and uninfected rCt. We selected the 3 most prominent genes, by area under the ROC curve analysis, for additional validations. Some of the LTBI participants also showed the mRNA infection profile.

Publication Title

Transcriptomic Biomarkers for Tuberculosis: Evaluation of <i>DOCK9. EPHA4</i>, and <i>NPC2</i> mRNA Expression in Peripheral Blood.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE136214
Gene expression from ErbB2-driven mamamry tumors (MMTV-NIC model) with beta 1 integrin KO, beta 3 integrin KO or beta 1/beta 3 double KO
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

In this study, we used conditional knockout and gene expression approaches to understand global molecular and transciptional changes due to ablation of each integrin subunit.

Publication Title

Functional Redundancy between β1 and β3 Integrin in Activating the IR/Akt/mTORC1 Signaling Axis to Promote ErbB2-Driven Breast Cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP048734
Liver and muscle gene expression and cow fertility at late pregnancy, early lactation and mid lactation
  • organism-icon Bos taurus
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The transition between pregnancy and lactation is a major physiological change that dairy cows must contend with. Complex systemic and local processes involving gluconeogenesis, energy balance, utilisation of body reserves, insulin resistance and involution of the uterus can have an effect on animal health and farm profitability. Here we used an established Holstein cow model of fertility that displayed genetic and phenotypic divergence in calving interval, a trait used to define reproductive performance using a national breeding index in Ireland. Cows had similar genetic merit for milk production traits, but either very good genetic merit for fertility (‘Fert+’; n = 8) or very poor genetic merit for fertility (‘Fert-‘; n = 8). We investigated three distinct time-points, late pregnancy, early lactation and mid lactation (-18, 1 and 147 days on average with day 0 being birth), using RNA sequencing from both liver and muscle tissue biopsies and conducting a differential expression (DE) analysis. We found 807 and 815 unique genes to be DE in at least one time-point in liver and muscle respectively, of which 79% and 83% were only found in a single time-point; 40 and 41 genes were found DE at every time-point indicating possibly systemic or chronic dysregulation. Functional annotation resulted in evidence for two major physiological processes: immune and inflammation, and metabolic, lipid and carbohydrate-binding. These processes indicate areas of previous interest as well as specific systems that appear differentially regulated, and point towards interesting avenues of further research in a broad and complex field. Overall design: 96 samples total; 8 Fert+ (''high fertility''), 8 Fert- (''low fertility''); no controls; Fert+, Fert- differential gene expression at three timepoints in two tissues

Publication Title

Transcriptomics of liver and muscle in Holstein cows genetically divergent for fertility highlight differences in nutrient partitioning and inflammation processes.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE52081
Contribution of paracrine signalling on dendritic cell activation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The physiological function of the immune system and the response to therapeutic immunomodulators may be sensitive to combinatorial cytokine micro-environments that shape the responses of specific immune cells. Previous work shows that paracrine cytokines released by virus-infected human dendritic cells (DC) can dictate the maturation state of nave DCs. To understand the effects of paracrine signaling, we systematically studied the effects of combinations cytokines in this complex mixture in generating an antiviral state. After nave DCs were exposed to either IFN or to paracrine signaling released by DCs infected by Newcastle Disease Virus (NDV), microarray analysis revealed a large number of genes that were differently regulated by the DC-secreted paracrine signaling. In order to identify the cytokine mechanisms involved, we identified 20 cytokines secreted by NDV infected DCs for which the corresponding receptor gene is expressed in nave DCs. By exposing cells to all combinations of 19 cytokines (leave-one-out studies) we identified 5 cytokines (IFN, TNF, IL-1, TNFSF15 and IL28) as candidates for regulating DC maturation markers. Subsequent experiments identified IFN, TNF and IL1 as the major synergistic contributors to this antiviral state. This finding was supported by infection studies in vitro, by T cell activation studies and by in vivo infection studies in mouse. Combination of cytokines can cause response states in DCs that differ from those achieved by the individual cytokines alone. These results suggest that the cytokine microenvironment may act via a combinatorial code to direct the response state of specific immune cells. Further elucidation of this code may provide insight into responses to infection and neoplasia as well as guide the development of combinatorial cytokine immunomodulation for infectious, autoimmune and immunosurveillance-related diseases.

Publication Title

Combinatorial cytokine code generates anti-viral state in dendritic cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE85463
Differential gene expression and transport functionality in the bundle sheath versus mesophyll - a potential role in leaf mineral homeostasis
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The bundle sheath cells (BSCs) layer a presumed control point for radial transport of water and solutes between the vasculature and the leaf mesophyll cells (MCs) is still largely understudied. Using isolated protoplasts, we found that 45% of the 90 genes differentially expressed in BSCs vs. MCs are membrane related and 20% are transport related, suggesting unique functionality of membrane transport in the BSCs, supported also by functional assays (electrophysiology and fluorescence imaging).

Publication Title

Differential gene expression and transport functionality in the bundle sheath versus mesophyll - a potential role in leaf mineral homeostasis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE8397
Expression profiling of the Parkinsonian Brain
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Affymetrix HG_U133 array sets (A and B chips) were used to determine the whole genome transcription profile of clinically documented and neuropathologically confirmed cases of sporadic Parkinson's disease as well as controls.

Publication Title

Whole genome expression profiling of the medial and lateral substantia nigra in Parkinson's disease.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE32020
Expression data from mammary gland during pregnancy and lactation of CBA/CaH, QSi5 and Advanced Intercross Line (AIL; CBA/CaH X QSi5, the 14th generation)
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Previously we have shown significant differences in lactation performance, mammary gland histology and expression profiles of mammary transcriptome during peak-lactation (lactation day 9; L9) between the ordinary CBA/CaH (CBA) and the superior QSi5 strains of mice. In the present study, we compared mammary gland histology between CBA and QSi5 at mid-pregnancy (pregnancy day 12; P12). We assessed lactation performance during the first 8 days of lactation of the 13th - 14th generation of the Advanced Intercross Line (AIL) (CBA X QSi5) mice.

Publication Title

Identification of gene sets and pathways associated with lactation performance in mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64896
Gene expression of distinct lung dendritic cell subsets
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Pulmonary dendritic cells are heterogenous cells comprise four distinct subsets including two conventional dendritic cell subsets, CD103+ and CD11bhiCD14lo cells, and two monocyte-derived dendritic cell subsets. Their functions in terms of migration and T cell activation are distinct, but genes regulating their features are to be determined.

Publication Title

Complement receptor C5aR1/CD88 and dipeptidyl peptidase-4/CD26 define distinct hematopoietic lineages of dendritic cells.

Sample Metadata Fields

Sex, 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